Cross-sectional study to assess etiology and associated factors for anaemia during first trimester of pregnancy in Anuradhapura District, Sri Lanka: a protocol

Gayani Amarasinghe; Vasana Mendis; Thilini Agampodi; Suneth Agampodi

doi:10.12688/f1000research.28226.3

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Study Protocol

Revised

Cross-sectional study to assess etiology and associated factors for anaemia during first trimester of pregnancy in Anuradhapura District, Sri Lanka: a protocol

[version 3; peer review: 2 approved]

Gayani Amarasinghe ¹, Vasana Mendis¹, Thilini Agampodi¹, Suneth Agampodi¹

PUBLISHED 12 Apr 2022

Author details Author details

¹ Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Anuradhapura, north cetral, 50000, Sri Lanka

Gayani Amarasinghe
Roles: Conceptualization, Investigation, Methodology, Project Administration, Writing – Original Draft Preparation

Vasana Mendis
Roles: Conceptualization, Investigation, Methodology, Supervision, Writing – Review & Editing

Thilini Agampodi
Roles: Conceptualization, Funding Acquisition, Investigation, Methodology, Project Administration, Supervision, Writing – Review & Editing

Suneth Agampodi
Roles: Conceptualization, Funding Acquisition, Investigation, Methodology, Project Administration, Supervision, Writing – Review & Editing

OPEN PEER REVIEW

REVIEWER STATUS

Abstract

Background: Anaemia in pregnancy, which can lead to adverse maternal and fetal outcomes, is a significant global health problem. Despite Sri Lanka’s strong public health system and commitment towards prevention, maternal anaemia remains a major problem in the country. While prevention is focused on iron deficiency, detailed etiological studies on this topic are scarce. Moreover, estimates of socio demographic and economic factors associated with anaemia in pregnancy, which can provide important clues for anaemia control, are also lacking. This study aims to evaluate the hemoglobin distribution, and geographical distribution, contribution of known aetiologies and associated factors for anaemia in pregnant women in Anuradhapura, Sri Lanka.
Methods: This is a cross sectional study of pregnant women in their first trimester registered for antenatal care from July to September 2019 in Anuradhapura district. The minimal sample size was calculated to be 1866. Initial data collection has already been carried out in special field clinics for pregnant women between June to October 2019. An interviewer-administered questionnaire, a self-completed dietary questionnaire and an examination checklist were used for data collection. In addition, all participants underwent complete blood count testing. Further investigations are being conducted for predicting the etiology of anaemia based on a developed algorithm (such as high-performance liquid chromatography [HPLC] and peripheral blood film analysis).
Discussion: Being the largest study on anaemia during pregnancy in a single geographical area in Sri Lanka, this study will provide important clues about geographical clustering of anaemia cases with similar etiology, associated factors and etiologies which would help to develop interventions to improve the health of pregnant women in the area. The possibility of selection bias is a potential limitation associated with the study design.

Keywords

Anemia, Pregnancy, Sri Lanka, Anuradhapura

Corresponding author: Gayani Amarasinghe

Competing interests: No competing interests were disclosed.

Grant information: This study is planned within a larger pregnancy cohort in Anuradhapura (the Rajarata Pregnancy Cohort; RaPCo). This research was supported by the Accelerating Higher Education Expansion and Development (AHEAD) Operation of the Ministry of Higher Education, Sri Lanka funded by the World Bank (DOR STEM HEMS [6026-LK/ 8743-LK])
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Copyright: © 2022 Amarasinghe G et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite: Amarasinghe G, Mendis V, Agampodi T and Agampodi S. Cross-sectional study to assess etiology and associated factors for anaemia during first trimester of pregnancy in Anuradhapura District, Sri Lanka: a protocol [version 3; peer review: 2 approved]. F1000Research 2022, 10:223 (https://doi.org/10.12688/f1000research.28226.3) First published: 18 Mar 2021, 10:223 (https://doi.org/10.12688/f1000research.28226.1) Latest published: 12 Apr 2022, 10:223 (https://doi.org/10.12688/f1000research.28226.3)

Revised Amendments from Version 2

In the new version, we have updated the final paragraph of the introduction to clarify the objectives of the paper. We have added that the output would be classified as mild, moderate and severe anaemia.

See the authors' detailed response to the review by Manjula Danansuriya
See the authors' detailed response to the review by Richard Derman

Introduction

Anaemia in pregnancy is associated with many adverse outcomes for the mother (such as loss of productivity, heart failure and even death) as well as her offspring (such as low birth weight, anaemia and developmental problems)^1–4. Despite exceptional maternal care standards and numerous nutritional interventions, anaemia in pregnancy remains a major problem in Sri Lanka⁵. Assuming iron deficiency is the major underlying cause of anaemia⁶, anaemia screening during preconception and antenatal clinics (at their initial appointment and 28 weeks), universal iron supplementation, provision of double dose iron (elemental iron 120 mg/day) for anaemic mothers, nutritional education, prophylaxis for malaria, and treatment for worm infestations have long been incorporated to Sri Lanka’s pregnancy care package⁷. Interventions with a lifecycle approach such as iron supplementation at schools are also in place⁸. Despite all these measures, maternal anaemia remains a major public health problem in certain districts of the country^9–21.

In 2018, 22.8% of pregnant women in the Anuradhapura district were identified as anemic during their initial visit to an antenatal clinic and despite routine interventions for iron deficiency anaemia, the prevalence was almost triple among the second trimester women²²; amounting to a severe public health problem²³. This raises the question of whether etiologies other than iron deficiency are significantly responsible for anaemia in this population. Previous reports on the presence of hemoglobinopathies, heterogeneous nutrient deficiencies and hereditary disorders among Sri Lankans supports this assumption^24–26. A resent national wide study also indicates that iron deficiency may contribute only to a 34% of anaemia in pregnancy²⁰.

Identifying dietary, socio economic^11,17, demographic^12,14,16,20, biological and behavioral factors that lead to anaemia in pregnancy will shed light on this unsolved problem as published literature exploring these factors is scarce. Even though a significant variation in prevalence between districts has been reported^14,16,20 intra-district (micro-geographical) variations have not yet been studied thoroughly.

This study aims to estimate the haemoglobin distribution and the prevalence of anaemia, and identify factors associated with anaemia among first trimester pregnant women in Anuradhapura district, Sri Lanka. It will also explore the contribution of several etiological causes to anaemia in this population.

Methods

Study setting

This study was carried out in Anuradhapura, the largest of 25 districts in Sri Lanka. Anuradhapura district is divided into 275 public health midwife (PHM) divisions within 22 medical officers of health (MOH) areas (Figure 1) which conduct village level antenatal clinics. Early registration for antenatal care and clinic attendance is very high (96%) in this district⁵.

Figure 1. Map of the Anuradhapura district, Sri Lanka.

This map depicts the position of Anuradhapura district (yellow) in the map of Sri Lanka (blue) and the area is enlarged to depict the 22 medical officer of health areas in the district. The figure has been reproduced with permission from Agampodi TC, Wickramasinghe ND, Prasanna RIR, Irangani MKL, Banda JMS, Jayathilake PMB, et al. The Rajarata Pregnancy Cohort (RaPCo): study protocol. BMC Pregnancy Childbirth [Internet]. 2020 Jun 26 [cited 2020 Nov 30];20(1):374. Available from: https://bmcpregnancychildbirth.biomedcentral.com/articles/10.1186/s12884-020-03056-x.

Study design

This cross sectional study was conducted as the baseline assessment of the Rajarata Pregnancy Cohort (RaPCo)²⁷. This study includes the baseline assessment of etiology of anaemia in early pregnancy, supported by an evidence-based algorithm adopted and tested in a sub sample (n=200) of women selected consecutively from the same study sample. The study includes two components; the basic investigations conducted at the first special antenatal clinic held in early pregnancy (component 1) and a second assessment if further investigations were needed to identify the etiology of anaemia (component 2). Although the cohort of women were followed up until delivery, this particular study protocol is focused on identification of etiology of anaemia of first trimester pregnant women.

Eligibility criteria

All pregnant women in their first trimester (less than 13 weeks pregnant) and registered in the pregnancy care programme from July to September 2019 were invited to take part in the study. There were no exclusion criteria.

Sample size

We hypothesized that causes of anaemia affecting at least 10% of anemic pregnant women would be significant from a public health point of view. Therefore, the minimum sample size needed to detect causes in at least 10 % of the anemic pregnant women was calculated using the following formula²⁸:

n = {(z_{1 - \frac{α}{2}} / d)}^{2} p (1 - p)

n = [{(1.96 / 0.03)}^{2} * .1 * .9] = 383

where n = minimum sample size, z = level of confidence 95% – 1.96, d = precision - 3%, p = expected proportion of participants with a selected cause for anaemia in the population – 10%.

When a 10 % nonresponse and loss to follow-up rate was applied for the minimum sample size needed for the second component the required sample size was determined as 425. Anaemia prevalence of first trimester pregnant women in the Anuradhapura district in 2018 was 22.8%²⁹. Therefore, the number of participants needed for the first component in order to get 425 anemic pregnant women was 1866.

Recruitment

An invitation to participate in the study was sent to all eligible participants through their PHM. From July to October 2019, a special clinic was conducted fortnightly at each MOH area where the eligible participants were recruited consecutively. The special clinic was continued till October 2019 so that eligible participants registering with the PHM towards the end of August could also join.

Data collection: Component 1

Baseline data collection was carried out by four teams, each led by a fully qualified MBBS doctor. Each team included several medical graduates, a nursing officer and four to six trained data collectors. All team members received three days of training and all procedures were carried out according to a manual.

Three study instruments were used; an interviewer administered questionnaire on socio demographic, economic, behavioral and medical factors (filled in by data collectors), a self-report questionnaire on diet (filled in by the participants at home and returned through the public health midwives), and a form to record findings of clinical examination conducted by a medical graduate³⁰. All the tools were developed specifically for this study. They were validated by a panel of multidisciplinary experts including a consultant community physician, social epidemiologist, hematologist and physicians and public health midwives (PHMs) working in the area where study is conducted. All tools were pretested among 20 pregnant women with the same eligibility criteria but registered in the maternal care program prior to the establishment of the cohort. The questions were comprehendible according to pretest results with the consensus of the expert panel.

The short clinical interview was conducted to identify presence or absence of symptoms of anaemia (shortness of breath, fatigue on exertion or at rest, faintness and chest pain). Anthropometric measures (height, weight, waist circumference and hip circumference), pallor and murmurs were recorded after a clinical examination. The dietary assessment included a food frequency questionnaire, assessment of consumption frequency of selected iron rich food items and the type of usual main meal

Collection of blood samples. Blood sample collection, handling, storage and analysis were conducted according to a protocol³⁰. For all the participants, a complete blood count was performed at the time of baseline data collection during the special clinic. A slide was prepared for peripheral blood film analysis for each participant at the time of blood collection by trained laboratory technicians.

Development and testing of the algorithm

A working algorithm was developed using available research evidence^31–38 and hematological expert opinion to identify the etiology of anaemia (Figure 2). The algorithm was developed as performing each investigation on all anemic women was not technically and financially feasible. Considering the feasibility, the different pathways of the algorithm were tested in 200 consecutively taken blood samples representing the district in the on going cohort. Serum ferritin level was assessed to determine iron status in all 200 of this sub-sample in addition to analysis of peripheral blood film. In anaemic pregnant women of this sample, further investigations (HPLC, serum B12, Folate levels and serum homocysteine levels) were conducted to test the algorithm.

Figure 2. Algorithm for investigating etiology of anaemia among first trimester pregnant women in Anuradhapura district.

This figure shows the evidence-based algorithm developed to guide the laboratory investigations to determine etiology of anaemia among first trimester pregnant women in the Anuradhapura district. Anaemia is determined by haemoglobin level less than 11 g/dl. Anaemia will be further classified as mild (10 – 10.9 g/dl) moderate (7–9.9 g/dl) and severe (<7 g/dl) based on the WHO classification. Mean corpuscular volume is used to identify microcytic (MCV less than 80 fl), normocytic (MCV 80 to 95.9 fl) and macrocytic anaemia (MCV more than 96). Those who have microcytic anaemia with high red cell counts (five or more*10⁶/µl) will be tested for minor haemoglobinopathies using HPLC testing. Those who have microcytic anaemia with normal red cell counts or have normocytic anaemia with mean corpuscular haemoglobin (MCH) 27 pg or less will undergo serum ferritin testing to determine iron deficiency. A peripheral blood film of participants with normocytic anaemia with MCH more than 27 will be examined to see if there are membrane disorders. Then serum Homocysteine and ferritin will be estimated in them to determine mixed deficiency. If this etiology is not confirmed with these investigations, thyroid stimulating hormone (TSH) and liver enzymes will be tested along with ferritin assessment. A peripheral blood film will be examined in macrocytic anaemic participants. If macrocytes are round, serum Homocysteine will be estimated. If it is raised, serum folate and B12 levels will be conducted to determine which nutrient is deficient. If oval macrocytes are present, TSH, liver enzymes and serum ferritin will be assessed.

According to the algorithm high red cell count (RCC ≥ 5*10⁶) is used to differentiate minor hemoglobinopathies from iron deficiency among microcytic anemic cases (MCV <80fl)^31,32. Early iron deficiency is suspected in normocytic hypochromic anaemia (MCV 80 – 95.9 fl). Suspected etiology is confirmed through serum ferritin and High Performance Liquid Chromatography (HPLC)³³. A peripheral blood film will be analyzed in those with normochromic normocytic anaemia and macrocytic anaemia (MCV ≥96 fl). Serum Homocysteine, serum B12 and folate levels will be used for confirming mixed deficiency, B12 deficiency and folate deficiency respectively^34–38.

Data collection: Component 2

When vitamin B12 or folate level assessment or performing HPLC was necessary according to the algorithm, participants were invited for a special hematology clinic. This clinic was conducted at the teaching hospital in Anuradhapura, the main center providing tertiary care for pregnant women in the Anuradhapura district. The invitation to participate was sent within a week following initial assessment and the appointment was booked within two weeks for serum vitamin levels assessment and according to their convenience for the thalassemia assessment. A telephone reminder was provided for all invited participants on the day prior to the scheduled appointment.

Serum ferritin, Homocysteine, B12 and Folate assessments were performed in a commercial laboratory with external quality control methods. HPLC is performed at the thalassemia unit of teaching hospital, Anuradhapura. Other investigations (complete blood count, peripheral blood film analysis and liver functions) are performed in a public health research laboratory with internal and external quality control.

Outcomes

This study will have several important outcomes. The prevalence of anaemia in the first trimester will be assessed. This will be a valid statistic for the district as the current indicators calculated using routine data from the reproductive health management information system (RHMIS) need to be validated. Evidence on etiology of anaemia is not available for the province. This study will be valuable at the national level as large community-based studies on etiology of anaemia are scarce in Sri Lanka. Based on the outcomes the study will be able to influence maternal health policies at both national and regional level.

The study will also depict the important associations of anaemia in pregnancy, namely socio-demographic (age, ethnicity, religion, education level and economic details of the family); obstetric (period of gestation, consumption of folic acid, parity, age at each conception, outcomes and complications); medical and biological (medical conditions, regularity and length of menstrual cycle and approximate estimation of menstrual blood loss using a pictogram); contraceptive history (methods that has been used, duration of use and side effects); and pre pregnancy and inter pregnancy care (breast feeding duration, intake of iron and folate supplements during postpartum period and/or pre-pregnancy). These assessments will help to develop a bio-psychosocial model for anaemia in early pregnancy which could be applicable to other LMICs as well.

The results of the tested algorithm will guide policies and strategies for screening for anaemia which will be a benefit for future pregnant women and their families.

Data management

Data from the interviewer administered questionnaire will be entered directly electronically. The rest of the data including laboratory investigations will be entered by single entry technique by research assistants and 10% of data will be manually verified by the investigator (GA).

All the hard copies of questionnaires and copies of investigation reports will be stored in an access restricted place, separate from the consent forms and identification details. Only investigators will have access to these copies. The database will be password protected on a separate computer. Access is limited to the investigators.

Data analysis

Data analysis will be performed using SPSS version 22. Mean haemoglobin distribution and anaemia prevalence will be reported with confidence intervals. Distribution of anaemia in MOH divisions will be mapped using GeoDa software. Causes for anaemia will be presented as percentages with 95% confidence levels. To determine factors associated with anaemia, chi squared tests for categorical variables (having a history of anaemia, consumption of folic acid and current breast feeding status, mothers’ ethnicity, religion, parity, education level) and t tests for continuous variables (age, severity of menstrual blood loss, BMI) will be used. For all tests, 2-sided p value with alpha ≤0.05 level of significance will be used. A logistic regression model will be attempted to predict the anaemia among first trimester pregnant women.

Ethical considerations

Ethical approval for the ‘Rajarata Pregnancy Cohort’ of which this study is a part of, has been obtained from the ethics review committee of Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka (ERC 2019/07).

Trained medical graduates introduced the study to participants and distributed information leaflets in native languages (Sinhala or Tamil)³⁰. Written informed consent was obtained from all participants³⁰. Participation is voluntary and refusal to take part or withdrawal from the study will not lead to any disadvantages during routine care provision. Already collected data will be retained if participation is withdrawn. Participants will receive the originals of all investigations and will be referred for further management as necessary if any abnormality is detected.

Confidentiality

To maintain confidentiality participants will be allocated an ID number which will link their data. Consent forms will be stored separately in a locked filing cabinet at the Maternal and Child Health Research Unit (MCHRU) of our institution. All questionnaires and lab reports will be stored in one center to which only the investigators will have access.

Dissemination of findings

Findings will be reported to the scientific community as peer reviewed research articles, abstracts and presentations. They will be conveyed to the district level stakeholders at monthly MOH conferences, special dissemination meetings and as policy briefs.

Study status

From July to October 2019, 3018 pregnant women were recruited in this study. Baseline assessments have all been done (interviewer administered questionnaire; clinical examination; dietary assessment; complete blood count). Blood films have been prepared and serum samples have been obtained for further assessments. Confirmatory investigations for minor hemoglobinopathies such as Thalassemia is still being conducted due to difficulties in following up participants due to the coronavirus disease 2019 (COVID-19) pandemic. Peripheral blood film analysis is also yet to be completed due to lockdown related to COVID-19. Batch processing and testing of stored samples and data analysis is also ongoing.

Discussion

This is the largest study on anaemia in pregnancy in a single district of Sri Lanka. Therefore, more specific spatial data on etiological distribution and pocketing may emerge. As studies investigating several causes of anaemia at the same time are scarce, this study will provide a wider understanding about etiology and distribution of anaemia in Sri Lankans. This will enable policy change to go beyond routine prevention methods focused on iron deficiency anaemia. Data on associated factors will also be helpful for planning further preventive interventions.

Since the participants are pregnant women who registered for routine antenatal care, a selection bias could occur. However, since the clinic registration rate is very high this bias would be minimal.

Data availability

Underlying data

No data are associated with this article.

Extended data

Open Science Framework: Anaemia Tools. https://doi.org/10.17605/OSF.IO/KSX2F³⁰.

This project includes the following extended data:

1. Anaemia questionnaire - interviewer administered (in Sinhala and an English translation)
2. Diet questionnaire (in Sinhala and an English translation)
3. Examination reporting form.docx
4. Protocol for Sample Collection.docx
5. Consent form

Data are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).

Faculty Opinions recommended

References

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Version 3

VERSION 3 PUBLISHED 18 Mar 2021

Author details Author details

¹ Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Anuradhapura, north cetral, 50000, Sri Lanka

Gayani Amarasinghe
Roles: Conceptualization, Investigation, Methodology, Project Administration, Writing – Original Draft Preparation

Vasana Mendis
Roles: Conceptualization, Investigation, Methodology, Supervision, Writing – Review & Editing

Thilini Agampodi
Roles: Conceptualization, Funding Acquisition, Investigation, Methodology, Project Administration, Supervision, Writing – Review & Editing

Suneth Agampodi
Roles: Conceptualization, Funding Acquisition, Investigation, Methodology, Project Administration, Supervision, Writing – Review & Editing

Competing interests

No competing interests were disclosed.

Grant information

This study is planned within a larger pregnancy cohort in Anuradhapura (the Rajarata Pregnancy Cohort; RaPCo). This research was supported by the Accelerating Higher Education Expansion and Development (AHEAD) Operation of the Ministry of Higher Education, Sri Lanka funded by the World Bank (DOR STEM HEMS [6026-LK/ 8743-LK])
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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© 2022 Amarasinghe G et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Amarasinghe G, Mendis V, Agampodi T and Agampodi S. Cross-sectional study to assess etiology and associated factors for anaemia during first trimester of pregnancy in Anuradhapura District, Sri Lanka: a protocol [version 3; peer review: 2 approved]. F1000Research 2022, 10:223 (https://doi.org/10.12688/f1000research.28226.3)

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This study is the largest to date to be conducted in a single region of Sri Lanka to determine the associations of socioeconomic status, dietary history, and maternal anthropometric findings with the presence of anemia that was confirmed by blood testing. Anemia is confirmed by appropriate laboratory blood analysis.

Survey data and nutritional information will be utilized. The published research will likely be helpful in creating information that can help inform public health policies that address proposed causation in Sri Lanka. Association of ≥ 10% will be reported.

Diagnosing anemia during the first trimester of pregnancy is a strength of the study, as anemia in the first trimester of pregnancy is associated with the poorest maternal and perinatal outcomes. The standard use of 120 mg of oral iron in Sri Lanka when iron deficiency is diagnosed is not consistent with recent data suggesting the negative impact of hepcidin on iron absorption.

The study is not generalizable, being too costly to implement on a population basis. Most studies, in contrast to the data presented, suggest that iron deficiency anemia is by far the most common cause of anemia in pregnancy. Additionally, no mention of the use of intravenous iron is discussed as this therapy is becoming more widely used to address moderate to severe anemia during pregnancy.

It would be important to comment on the grade of anemia (mild, moderate, severe) in the findings.

Is the rationale for, and objectives of, the study clearly described?

No
Is the study design appropriate for the research question?

Yes
Are sufficient details of the methods provided to allow replication by others?

Yes
Are the datasets clearly presented in a useable and accessible format?

No

Competing Interests: Presently conducting funded research anemia in pregnancy

Reviewer Expertise: Maternal child health

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.

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Author Response 14 Apr 2022

Gayani Amarasinghe, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Anuradhapura, 50000, Sri Lanka

14 Apr 2022

Author Response

We would like to express our gratitude to the reviewer for reviewing the manuscript. Please find a point-by-point reference to the comments that have been provided.

Comment 1:
This ... Continue reading We would like to express our gratitude to the reviewer for reviewing the manuscript. Please find a point-by-point reference to the comments that have been provided.

Comment 1:
This study is the largest to date to be conducted in a single region of Sri Lanka to determine the associations of socioeconomic status, dietary history, and maternal anthropometric findings with the presence of anemia that was confirmed by blood testing.
Anemia is confirmed by appropriate laboratory blood analysis. Survey data and nutritional information will be utilized. The published research will likely be helpful in creating information that can help inform public health policies that address proposed causation in Sri Lanka. Association of ≥ 10% will be reported.

Reponse:
Thank you for the comment.

Comment 2 :
Diagnosing anemia during the first trimester of pregnancy is a strength of the study, as anemia in the first trimester of pregnancy is associated with the poorest maternal and perinatal outcomes. The standard use of 120 mg of oral iron in Sri Lanka when iron deficiency is diagnosed is not consistent with recent data suggesting the negative impact of hepcidin on iron absorption.

Response:
Thank you for pointing this out. We certainly agree that 120 mg of oral iron is not backed by the latest evidence. However, this was the practice according to the national maternal care guideline of the country at the time of proposal preparation and carrying out the study, which was not under the control of the researchers. We have clearly stated this in our manuscript as the current recommendation of the maternal care package as noted below:
“anaemia screening during preconception and antenatal clinics (at their initial appointment and 28 weeks), universal iron supplementation, provision of double dose iron (elemental iron 120 mg/day) for anaemic mothers, nutritional education, prophylaxis for malaria, and treatment for worm infestations have long been incorporated to Sri Lanka’s pregnancy care package”.

Comment 3:
The study is not generalizable, being too costly to implement on a population basis.

Response:
Thank you for this comment. We agree that the process would be costly if it were to be used for routine surveillance. We do not propose to generalise the study methodology or etiological investigations to the entire population. Rather, this is an epidemiological study where we want to find out what aetiologies cause anaemia in this community so that they can be addressed through different public health measures which may or may not include an etiological diagnosis.

Comment 4:
Most studies, in contrast to the data presented, suggest that iron deficiency anaemia is by far the most common cause of anemia in pregnancy.

Response:
Thank you. We agree that iron deficiency is the commonest cause of anaemia in many places. However, a significant percentage of anaemia is due to other aetiologies. We have not claimed other aetiologies will be the commonest cause.
“This raises the question of whether etiologies other than iron deficiency are significantly responsible for anaemia in this population. Previous reports on the presence of hemoglobinopathies, heterogeneous nutrient deficiencies and hereditary disorders among Sri Lankans support this assumption^24–26. A recent national-wide study also indicates that iron deficiency may contribute only to 34% of anaemia in pregnancy²⁰.”

Comment 5:
Additionally, no mention of the use of intravenous iron is discussed as this therapy is becoming more widely used to address moderate to severe anemia during pregnancy.

Response:
Thank you for highlighting this new trend. However, we do not think that mentioning it is very much relevant to the current study, which does not focus on treatment modalities for anaemia or iron deficiency.

Comment 6:
It would be important to comment on the grade of anaemia (mild, moderate, severe) in the findings.

Response:
Thank you for pointing this out. We have added the grading of anaemia as moderate, mild, and severe to the methodology section of the revised manuscript as you have suggested:
“Anaemia will be further classified as mild (10 – 10.9 g/dl) moderate (7-9.9 g/dl) and severe (<7 g/dl) based on the WHO classification.”

Comment 7:
Is the rationale for, and objectives of, the study clearly described? No

Response:
To clarify the objectives of the study we have modified the final paragraph of the introduction section as follows:
“This study will explore aims to estimate the haemoglobin distribution and, the prevalence of anaemia, and identify factors associated with anaemia among first-trimester pregnant women in Anuradhapura district, Sri Lanka. It will also explore investigate the contribution of several etiological causes to anaemia in this population.”

Comment 8:
Are the datasets clearly presented in a useable and accessible format? No

Response:
This is the protocol paper and we do not present any data here.
We would like to express our gratitude to the reviewer for reviewing the manuscript. Please find a point-by-point reference to the comments that have been provided.

Comment 1:
This study is the largest to date to be conducted in a single region of Sri Lanka to determine the associations of socioeconomic status, dietary history, and maternal anthropometric findings with the presence of anemia that was confirmed by blood testing.
Anemia is confirmed by appropriate laboratory blood analysis. Survey data and nutritional information will be utilized. The published research will likely be helpful in creating information that can help inform public health policies that address proposed causation in Sri Lanka. Association of ≥ 10% will be reported.

Reponse:
Thank you for the comment.

Comment 2 :
Diagnosing anemia during the first trimester of pregnancy is a strength of the study, as anemia in the first trimester of pregnancy is associated with the poorest maternal and perinatal outcomes. The standard use of 120 mg of oral iron in Sri Lanka when iron deficiency is diagnosed is not consistent with recent data suggesting the negative impact of hepcidin on iron absorption.

Response:
Thank you for pointing this out. We certainly agree that 120 mg of oral iron is not backed by the latest evidence. However, this was the practice according to the national maternal care guideline of the country at the time of proposal preparation and carrying out the study, which was not under the control of the researchers. We have clearly stated this in our manuscript as the current recommendation of the maternal care package as noted below:
“anaemia screening during preconception and antenatal clinics (at their initial appointment and 28 weeks), universal iron supplementation, provision of double dose iron (elemental iron 120 mg/day) for anaemic mothers, nutritional education, prophylaxis for malaria, and treatment for worm infestations have long been incorporated to Sri Lanka’s pregnancy care package”.

Comment 3:
The study is not generalizable, being too costly to implement on a population basis.

Response:
Thank you for this comment. We agree that the process would be costly if it were to be used for routine surveillance. We do not propose to generalise the study methodology or etiological investigations to the entire population. Rather, this is an epidemiological study where we want to find out what aetiologies cause anaemia in this community so that they can be addressed through different public health measures which may or may not include an etiological diagnosis.

Comment 4:
Most studies, in contrast to the data presented, suggest that iron deficiency anaemia is by far the most common cause of anemia in pregnancy.

Response:
Thank you. We agree that iron deficiency is the commonest cause of anaemia in many places. However, a significant percentage of anaemia is due to other aetiologies. We have not claimed other aetiologies will be the commonest cause.
“This raises the question of whether etiologies other than iron deficiency are significantly responsible for anaemia in this population. Previous reports on the presence of hemoglobinopathies, heterogeneous nutrient deficiencies and hereditary disorders among Sri Lankans support this assumption^24–26. A recent national-wide study also indicates that iron deficiency may contribute only to 34% of anaemia in pregnancy²⁰.”

Comment 5:
Additionally, no mention of the use of intravenous iron is discussed as this therapy is becoming more widely used to address moderate to severe anemia during pregnancy.

Response:
Thank you for highlighting this new trend. However, we do not think that mentioning it is very much relevant to the current study, which does not focus on treatment modalities for anaemia or iron deficiency.

Comment 6:
It would be important to comment on the grade of anaemia (mild, moderate, severe) in the findings.

Response:
Thank you for pointing this out. We have added the grading of anaemia as moderate, mild, and severe to the methodology section of the revised manuscript as you have suggested:
“Anaemia will be further classified as mild (10 – 10.9 g/dl) moderate (7-9.9 g/dl) and severe (<7 g/dl) based on the WHO classification.”

Comment 7:
Is the rationale for, and objectives of, the study clearly described? No

Response:
To clarify the objectives of the study we have modified the final paragraph of the introduction section as follows:
“This study will explore aims to estimate the haemoglobin distribution and, the prevalence of anaemia, and identify factors associated with anaemia among first-trimester pregnant women in Anuradhapura district, Sri Lanka. It will also explore investigate the contribution of several etiological causes to anaemia in this population.”

Comment 8:
Are the datasets clearly presented in a useable and accessible format? No

Response:
This is the protocol paper and we do not present any data here.
Competing Interests: None Close
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COMMENTS ON THIS REPORT

Author Response 14 Apr 2022

Gayani Amarasinghe, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Anuradhapura, 50000, Sri Lanka

14 Apr 2022

Author Response

We would like to express our gratitude to the reviewer for reviewing the manuscript. Please find a point-by-point reference to the comments that have been provided.

Comment 1:
This ... Continue reading We would like to express our gratitude to the reviewer for reviewing the manuscript. Please find a point-by-point reference to the comments that have been provided.

Comment 1:
This study is the largest to date to be conducted in a single region of Sri Lanka to determine the associations of socioeconomic status, dietary history, and maternal anthropometric findings with the presence of anemia that was confirmed by blood testing.
Anemia is confirmed by appropriate laboratory blood analysis. Survey data and nutritional information will be utilized. The published research will likely be helpful in creating information that can help inform public health policies that address proposed causation in Sri Lanka. Association of ≥ 10% will be reported.

Reponse:
Thank you for the comment.

Comment 2 :
Diagnosing anemia during the first trimester of pregnancy is a strength of the study, as anemia in the first trimester of pregnancy is associated with the poorest maternal and perinatal outcomes. The standard use of 120 mg of oral iron in Sri Lanka when iron deficiency is diagnosed is not consistent with recent data suggesting the negative impact of hepcidin on iron absorption.

Response:
Thank you for pointing this out. We certainly agree that 120 mg of oral iron is not backed by the latest evidence. However, this was the practice according to the national maternal care guideline of the country at the time of proposal preparation and carrying out the study, which was not under the control of the researchers. We have clearly stated this in our manuscript as the current recommendation of the maternal care package as noted below:
“anaemia screening during preconception and antenatal clinics (at their initial appointment and 28 weeks), universal iron supplementation, provision of double dose iron (elemental iron 120 mg/day) for anaemic mothers, nutritional education, prophylaxis for malaria, and treatment for worm infestations have long been incorporated to Sri Lanka’s pregnancy care package”.

Comment 3:
The study is not generalizable, being too costly to implement on a population basis.

Response:
Thank you for this comment. We agree that the process would be costly if it were to be used for routine surveillance. We do not propose to generalise the study methodology or etiological investigations to the entire population. Rather, this is an epidemiological study where we want to find out what aetiologies cause anaemia in this community so that they can be addressed through different public health measures which may or may not include an etiological diagnosis.

Comment 4:
Most studies, in contrast to the data presented, suggest that iron deficiency anaemia is by far the most common cause of anemia in pregnancy.

Response:
Thank you. We agree that iron deficiency is the commonest cause of anaemia in many places. However, a significant percentage of anaemia is due to other aetiologies. We have not claimed other aetiologies will be the commonest cause.
“This raises the question of whether etiologies other than iron deficiency are significantly responsible for anaemia in this population. Previous reports on the presence of hemoglobinopathies, heterogeneous nutrient deficiencies and hereditary disorders among Sri Lankans support this assumption^24–26. A recent national-wide study also indicates that iron deficiency may contribute only to 34% of anaemia in pregnancy²⁰.”

Comment 5:
Additionally, no mention of the use of intravenous iron is discussed as this therapy is becoming more widely used to address moderate to severe anemia during pregnancy.

Response:
Thank you for highlighting this new trend. However, we do not think that mentioning it is very much relevant to the current study, which does not focus on treatment modalities for anaemia or iron deficiency.

Comment 6:
It would be important to comment on the grade of anaemia (mild, moderate, severe) in the findings.

Response:
Thank you for pointing this out. We have added the grading of anaemia as moderate, mild, and severe to the methodology section of the revised manuscript as you have suggested:
“Anaemia will be further classified as mild (10 – 10.9 g/dl) moderate (7-9.9 g/dl) and severe (<7 g/dl) based on the WHO classification.”

Comment 7:
Is the rationale for, and objectives of, the study clearly described? No

Response:
To clarify the objectives of the study we have modified the final paragraph of the introduction section as follows:
“This study will explore aims to estimate the haemoglobin distribution and, the prevalence of anaemia, and identify factors associated with anaemia among first-trimester pregnant women in Anuradhapura district, Sri Lanka. It will also explore investigate the contribution of several etiological causes to anaemia in this population.”

Comment 8:
Are the datasets clearly presented in a useable and accessible format? No

Response:
This is the protocol paper and we do not present any data here.
We would like to express our gratitude to the reviewer for reviewing the manuscript. Please find a point-by-point reference to the comments that have been provided.

Comment 1:
This study is the largest to date to be conducted in a single region of Sri Lanka to determine the associations of socioeconomic status, dietary history, and maternal anthropometric findings with the presence of anemia that was confirmed by blood testing.
Anemia is confirmed by appropriate laboratory blood analysis. Survey data and nutritional information will be utilized. The published research will likely be helpful in creating information that can help inform public health policies that address proposed causation in Sri Lanka. Association of ≥ 10% will be reported.

Reponse:
Thank you for the comment.

Comment 2 :
Diagnosing anemia during the first trimester of pregnancy is a strength of the study, as anemia in the first trimester of pregnancy is associated with the poorest maternal and perinatal outcomes. The standard use of 120 mg of oral iron in Sri Lanka when iron deficiency is diagnosed is not consistent with recent data suggesting the negative impact of hepcidin on iron absorption.

Response:
Thank you for pointing this out. We certainly agree that 120 mg of oral iron is not backed by the latest evidence. However, this was the practice according to the national maternal care guideline of the country at the time of proposal preparation and carrying out the study, which was not under the control of the researchers. We have clearly stated this in our manuscript as the current recommendation of the maternal care package as noted below:
“anaemia screening during preconception and antenatal clinics (at their initial appointment and 28 weeks), universal iron supplementation, provision of double dose iron (elemental iron 120 mg/day) for anaemic mothers, nutritional education, prophylaxis for malaria, and treatment for worm infestations have long been incorporated to Sri Lanka’s pregnancy care package”.

Comment 3:
The study is not generalizable, being too costly to implement on a population basis.

Response:
Thank you for this comment. We agree that the process would be costly if it were to be used for routine surveillance. We do not propose to generalise the study methodology or etiological investigations to the entire population. Rather, this is an epidemiological study where we want to find out what aetiologies cause anaemia in this community so that they can be addressed through different public health measures which may or may not include an etiological diagnosis.

Comment 4:
Most studies, in contrast to the data presented, suggest that iron deficiency anaemia is by far the most common cause of anemia in pregnancy.

Response:
Thank you. We agree that iron deficiency is the commonest cause of anaemia in many places. However, a significant percentage of anaemia is due to other aetiologies. We have not claimed other aetiologies will be the commonest cause.
“This raises the question of whether etiologies other than iron deficiency are significantly responsible for anaemia in this population. Previous reports on the presence of hemoglobinopathies, heterogeneous nutrient deficiencies and hereditary disorders among Sri Lankans support this assumption^24–26. A recent national-wide study also indicates that iron deficiency may contribute only to 34% of anaemia in pregnancy²⁰.”

Comment 5:
Additionally, no mention of the use of intravenous iron is discussed as this therapy is becoming more widely used to address moderate to severe anemia during pregnancy.

Response:
Thank you for highlighting this new trend. However, we do not think that mentioning it is very much relevant to the current study, which does not focus on treatment modalities for anaemia or iron deficiency.

Comment 6:
It would be important to comment on the grade of anaemia (mild, moderate, severe) in the findings.

Response:
Thank you for pointing this out. We have added the grading of anaemia as moderate, mild, and severe to the methodology section of the revised manuscript as you have suggested:
“Anaemia will be further classified as mild (10 – 10.9 g/dl) moderate (7-9.9 g/dl) and severe (<7 g/dl) based on the WHO classification.”

Comment 7:
Is the rationale for, and objectives of, the study clearly described? No

Response:
To clarify the objectives of the study we have modified the final paragraph of the introduction section as follows:
“This study will explore aims to estimate the haemoglobin distribution and, the prevalence of anaemia, and identify factors associated with anaemia among first-trimester pregnant women in Anuradhapura district, Sri Lanka. It will also explore investigate the contribution of several etiological causes to anaemia in this population.”

Comment 8:
Are the datasets clearly presented in a useable and accessible format? No

Response:
This is the protocol paper and we do not present any data here.
Competing Interests: None Close
Report a concern

Views

Reviewer Report 17 Jun 2021

Manjula Danansuriya, Anti Malaria Campaign, Ministry of Health, Colombo, Sri Lanka

Approved

https://doi.org/10.5256/f1000research.56421.r85340

After considering the revised text and the author's responses to the ... Continue reading

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Version 1

VERSION 1

PUBLISHED 18 Mar 2021

Views

Reviewer Report 15 Apr 2021

Manjula Danansuriya, Anti Malaria Campaign, Ministry of Health, Colombo, Sri Lanka

Approved with Reservations

https://doi.org/10.5256/f1000research.31221.r81701

Abstract body should be homogenous. Objectives are stated differently at different places. Propose to improve the title as -assessing/exploring prevalence of known causes of anaemia- rather than "assessing etiology".
Justification could have been

Abstract body should be homogenous. Objectives are stated differently at different places. Propose to improve the title as -assessing/exploring prevalence of known causes of anaemia- rather than "assessing etiology".
Justification could have been backed by more stronger reference from 2015 National nutrition survey which revealed - prevalence of anaemia among preg. women as 31.8% ; of them only 9.9% were identified as having iron def. anaemia (IDA) as per serum ferritin levels, highlighting other causes for anaemia is more prevalent among SRL pregnant women compared to IDA.
Sample size should be 865 not 383. Equation should be:
Ideally sample size should have been calculated to different entities of anaemia (as per available literature) i.e.: thalassemia, mixed deficiency, etc and sample size for the study should be the largest N of those (see here).

Is the rationale for, and objectives of, the study clearly described?

Partly
Is the study design appropriate for the research question?

Yes
Are sufficient details of the methods provided to allow replication by others?

Yes
Are the datasets clearly presented in a useable and accessible format?

Not applicable

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Community Medicine

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Author Response 13 May 2021

Gayani Amarasinghe, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Anuradhapura, 50000, Sri Lanka

13 May 2021

Author Response

We would like to express our gratitude for the valuable comments given by the reviewer. Please find a point by point reference for the comments below.

Comment 1: Abstract ... Continue reading We would like to express our gratitude for the valuable comments given by the reviewer. Please find a point by point reference for the comments below.

Comment 1: Abstract body should be homogeneous. Objectives are stated differently at different places. Propose to improve the title as -assessing/exploring prevalence of known causes of anemia- rather than "assessing etiology".
Response: Thank you for pointing out the discrepancy in stated objectives at different places. We have corrected the objectives in the abstract and the main text to improve the clarity and homogeneity. We would like to adhere to the original title of the article rather than updating to ‘exploring prevalence of known etiologies’ as our original aim is to actually identify etiologies that may matter in the study population. That’s why the algorithm includes examination of peripheral blood film assessments (in hope of identifying clues to alternate etiologies) when the suspected etiology proves unlikely according to the algorithm based testing.

Comment 2: Justification could have been backed by stronger reference from 2015 National nutrition survey which revealed - prevalence of anaemia among preg. women as 31.8% ; of them only 9.9% were identified as having iron def. anaemia (IDA) as per serum ferritin levels, highlighting other causes for anaemia is more prevalent among SRL pregnant women compared to IDA.
Response: Thank you for this valuable suggestion. We updated the text accordingly.

Comment 3: Sample size should be 865 not 383.
Response: Thank you very much for pointing this out. We have used the same formula for calculation. However, we have mentioned that we used 2% precision for the calculation whereas we had actually used 3% precision. This has been a mistake from us and has been corrected in the new version.

Comment 4: Ideally sample size should have been calculated to different entities of anaemia (as per available literature) i.e.: thalassemia, mixed deficiency, etc. and sample size for the study should be the largest N of those (see here).
Response: We agree that this would have been the ideal method. However, when the known population prevalence of etiologies (iron deficiency and thalassemia) among pregnant women are applied for the sample size calculation, obtained minimum sample sizes are smaller than the sample size we have used (n-1866). Hence we employed this method also taking into consideration the feasibility.
We would like to express our gratitude for the valuable comments given by the reviewer. Please find a point by point reference for the comments below.

Comment 1: Abstract body should be homogeneous. Objectives are stated differently at different places. Propose to improve the title as -assessing/exploring prevalence of known causes of anemia- rather than "assessing etiology".
Response: Thank you for pointing out the discrepancy in stated objectives at different places. We have corrected the objectives in the abstract and the main text to improve the clarity and homogeneity. We would like to adhere to the original title of the article rather than updating to ‘exploring prevalence of known etiologies’ as our original aim is to actually identify etiologies that may matter in the study population. That’s why the algorithm includes examination of peripheral blood film assessments (in hope of identifying clues to alternate etiologies) when the suspected etiology proves unlikely according to the algorithm based testing.

Comment 2: Justification could have been backed by stronger reference from 2015 National nutrition survey which revealed - prevalence of anaemia among preg. women as 31.8% ; of them only 9.9% were identified as having iron def. anaemia (IDA) as per serum ferritin levels, highlighting other causes for anaemia is more prevalent among SRL pregnant women compared to IDA.
Response: Thank you for this valuable suggestion. We updated the text accordingly.

Comment 3: Sample size should be 865 not 383.
Response: Thank you very much for pointing this out. We have used the same formula for calculation. However, we have mentioned that we used 2% precision for the calculation whereas we had actually used 3% precision. This has been a mistake from us and has been corrected in the new version.

Comment 4: Ideally sample size should have been calculated to different entities of anaemia (as per available literature) i.e.: thalassemia, mixed deficiency, etc. and sample size for the study should be the largest N of those (see here).
Response: We agree that this would have been the ideal method. However, when the known population prevalence of etiologies (iron deficiency and thalassemia) among pregnant women are applied for the sample size calculation, obtained minimum sample sizes are smaller than the sample size we have used (n-1866). Hence we employed this method also taking into consideration the feasibility.
Competing Interests: None Close
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COMMENTS ON THIS REPORT

Author Response 13 May 2021

Gayani Amarasinghe, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Anuradhapura, 50000, Sri Lanka

13 May 2021

Author Response

We would like to express our gratitude for the valuable comments given by the reviewer. Please find a point by point reference for the comments below.

Comment 1: Abstract ... Continue reading We would like to express our gratitude for the valuable comments given by the reviewer. Please find a point by point reference for the comments below.

Comment 1: Abstract body should be homogeneous. Objectives are stated differently at different places. Propose to improve the title as -assessing/exploring prevalence of known causes of anemia- rather than "assessing etiology".
Response: Thank you for pointing out the discrepancy in stated objectives at different places. We have corrected the objectives in the abstract and the main text to improve the clarity and homogeneity. We would like to adhere to the original title of the article rather than updating to ‘exploring prevalence of known etiologies’ as our original aim is to actually identify etiologies that may matter in the study population. That’s why the algorithm includes examination of peripheral blood film assessments (in hope of identifying clues to alternate etiologies) when the suspected etiology proves unlikely according to the algorithm based testing.

Comment 2: Justification could have been backed by stronger reference from 2015 National nutrition survey which revealed - prevalence of anaemia among preg. women as 31.8% ; of them only 9.9% were identified as having iron def. anaemia (IDA) as per serum ferritin levels, highlighting other causes for anaemia is more prevalent among SRL pregnant women compared to IDA.
Response: Thank you for this valuable suggestion. We updated the text accordingly.

Comment 3: Sample size should be 865 not 383.
Response: Thank you very much for pointing this out. We have used the same formula for calculation. However, we have mentioned that we used 2% precision for the calculation whereas we had actually used 3% precision. This has been a mistake from us and has been corrected in the new version.

Comment 4: Ideally sample size should have been calculated to different entities of anaemia (as per available literature) i.e.: thalassemia, mixed deficiency, etc. and sample size for the study should be the largest N of those (see here).
Response: We agree that this would have been the ideal method. However, when the known population prevalence of etiologies (iron deficiency and thalassemia) among pregnant women are applied for the sample size calculation, obtained minimum sample sizes are smaller than the sample size we have used (n-1866). Hence we employed this method also taking into consideration the feasibility.
We would like to express our gratitude for the valuable comments given by the reviewer. Please find a point by point reference for the comments below.

Comment 1: Abstract body should be homogeneous. Objectives are stated differently at different places. Propose to improve the title as -assessing/exploring prevalence of known causes of anemia- rather than "assessing etiology".
Response: Thank you for pointing out the discrepancy in stated objectives at different places. We have corrected the objectives in the abstract and the main text to improve the clarity and homogeneity. We would like to adhere to the original title of the article rather than updating to ‘exploring prevalence of known etiologies’ as our original aim is to actually identify etiologies that may matter in the study population. That’s why the algorithm includes examination of peripheral blood film assessments (in hope of identifying clues to alternate etiologies) when the suspected etiology proves unlikely according to the algorithm based testing.

Comment 2: Justification could have been backed by stronger reference from 2015 National nutrition survey which revealed - prevalence of anaemia among preg. women as 31.8% ; of them only 9.9% were identified as having iron def. anaemia (IDA) as per serum ferritin levels, highlighting other causes for anaemia is more prevalent among SRL pregnant women compared to IDA.
Response: Thank you for this valuable suggestion. We updated the text accordingly.

Comment 3: Sample size should be 865 not 383.
Response: Thank you very much for pointing this out. We have used the same formula for calculation. However, we have mentioned that we used 2% precision for the calculation whereas we had actually used 3% precision. This has been a mistake from us and has been corrected in the new version.

Comment 4: Ideally sample size should have been calculated to different entities of anaemia (as per available literature) i.e.: thalassemia, mixed deficiency, etc. and sample size for the study should be the largest N of those (see here).
Response: We agree that this would have been the ideal method. However, when the known population prevalence of etiologies (iron deficiency and thalassemia) among pregnant women are applied for the sample size calculation, obtained minimum sample sizes are smaller than the sample size we have used (n-1866). Hence we employed this method also taking into consideration the feasibility.
Competing Interests: None Close
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Version 3

VERSION 3 PUBLISHED 18 Mar 2021

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Version 2 (revision) 13 May 21	read	read
Version 1 18 Mar 21	read

Manjula Danansuriya, Ministry of Health, Colombo, Sri Lanka
Richard Derman, Thomas Jefferson University, Philadelphia, USA

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25 Apr 2022 | for Version 3

Richard Derman, Thomas Jefferson University, Philadelphia, PA, USA

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Approved

I believe the authors have responded appropriately to the questions that I had posed.

Recommend indexing.

Competing Interests

Presently conducting funded research anemia in pregnancy

Reviewer Expertise

Maternal child health

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

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12 Apr 2022 | for Version 3

Manjula Danansuriya, Anti Malaria Campaign, Ministry of Health, Colombo, Sri Lanka

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Approved

The revised version (Version 3) has addressed the issues highlighted. No further comments.

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Community Medicine/Public Health

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

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16 Mar 2022 | for Version 2

Richard Derman, Thomas Jefferson University, Philadelphia, PA, USA

21 Views Cite this report Responses(1)

Approved With Reservations

Is the rationale for, and objectives of, the study clearly described?

No
Is the study design appropriate for the research question?

Yes
Are sufficient details of the methods provided to allow replication by others?

Yes
Are the datasets clearly presented in a useable and accessible format?

No

Competing Interests

Presently conducting funded research anemia in pregnancy

Reviewer Expertise

Maternal child health

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Author Response

14 Apr 2022

Gayani Amarasinghe, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Anuradhapura, 50000, Sri Lanka

We would like to express our gratitude to the reviewer for reviewing the manuscript. Please find a point-by-point reference to the comments that have been provided.

Comment 1:
This study is the largest to date to be conducted in a single region of Sri Lanka to determine the associations of socioeconomic status, dietary history, and maternal anthropometric findings with the presence of anemia that was confirmed by blood testing.
Anemia is confirmed by appropriate laboratory blood analysis. Survey data and nutritional information will be utilized. The published research will likely be helpful in creating information that can help inform public health policies that address proposed causation in Sri Lanka. Association of ≥ 10% will be reported.

Reponse:
Thank you for the comment.

Comment 2 :
Diagnosing anemia during the first trimester of pregnancy is a strength of the study, as anemia in the first trimester of pregnancy is associated with the poorest maternal and perinatal outcomes. The standard use of 120 mg of oral iron in Sri Lanka when iron deficiency is diagnosed is not consistent with recent data suggesting the negative impact of hepcidin on iron absorption.

Response:
Thank you for pointing this out. We certainly agree that 120 mg of oral iron is not backed by the latest evidence. However, this was the practice according to the national maternal care guideline of the country at the time of proposal preparation and carrying out the study, which was not under the control of the researchers. We have clearly stated this in our manuscript as the current recommendation of the maternal care package as noted below:
“anaemia screening during preconception and antenatal clinics (at their initial appointment and 28 weeks), universal iron supplementation, provision of double dose iron (elemental iron 120 mg/day) for anaemic mothers, nutritional education, prophylaxis for malaria, and treatment for worm infestations have long been incorporated to Sri Lanka’s pregnancy care package”.

Comment 3:
The study is not generalizable, being too costly to implement on a population basis.

Response:
Thank you for this comment. We agree that the process would be costly if it were to be used for routine surveillance. We do not propose to generalise the study methodology or etiological investigations to the entire population. Rather, this is an epidemiological study where we want to find out what aetiologies cause anaemia in this community so that they can be addressed through different public health measures which may or may not include an etiological diagnosis.

Comment 4:
Most studies, in contrast to the data presented, suggest that iron deficiency anaemia is by far the most common cause of anemia in pregnancy.

Response:
Thank you. We agree that iron deficiency is the commonest cause of anaemia in many places. However, a significant percentage of anaemia is due to other aetiologies. We have not claimed other aetiologies will be the commonest cause.
“This raises the question of whether etiologies other than iron deficiency are significantly responsible for anaemia in this population. Previous reports on the presence of hemoglobinopathies, heterogeneous nutrient deficiencies and hereditary disorders among Sri Lankans support this assumption^24–26. A recent national-wide study also indicates that iron deficiency may contribute only to 34% of anaemia in pregnancy²⁰.”

Comment 5:
Additionally, no mention of the use of intravenous iron is discussed as this therapy is becoming more widely used to address moderate to severe anemia during pregnancy.

Response:
Thank you for highlighting this new trend. However, we do not think that mentioning it is very much relevant to the current study, which does not focus on treatment modalities for anaemia or iron deficiency.

Comment 6:
It would be important to comment on the grade of anaemia (mild, moderate, severe) in the findings.

Response:
Thank you for pointing this out. We have added the grading of anaemia as moderate, mild, and severe to the methodology section of the revised manuscript as you have suggested:
“Anaemia will be further classified as mild (10 – 10.9 g/dl) moderate (7-9.9 g/dl) and severe (<7 g/dl) based on the WHO classification.”

Comment 7:
Is the rationale for, and objectives of, the study clearly described? No

Response:
To clarify the objectives of the study we have modified the final paragraph of the introduction section as follows:
“This study will explore aims to estimate the haemoglobin distribution and, the prevalence of anaemia, and identify factors associated with anaemia among first-trimester pregnant women in Anuradhapura district, Sri Lanka. It will also explore investigate the contribution of several etiological causes to anaemia in this population.”

Comment 8:
Are the datasets clearly presented in a useable and accessible format? No

Response:
This is the protocol paper and we do not present any data here.

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Competing Interests

None

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Reviewer Report

13 Views

17 Jun 2021 | for Version 2

Manjula Danansuriya, Anti Malaria Campaign, Ministry of Health, Colombo, Sri Lanka

13 Views Cite this report Responses(0)

Approved

After considering the revised text and the author's responses to the issues highlighted, I feel the article is in good shape now.

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Community Medicine

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

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Reviewer Report

44 Views

15 Apr 2021 | for Version 1

Manjula Danansuriya, Anti Malaria Campaign, Ministry of Health, Colombo, Sri Lanka

44 Views Cite this report Responses(1)

Approved With Reservations

Abstract body should be homogenous. Objectives are stated differently at different places. Propose to improve the title as -assessing/exploring prevalence of known causes of anaemia- rather than "assessing etiology".
Justification could have been backed by more stronger reference from 2015 National nutrition survey which revealed - prevalence of anaemia among preg. women as 31.8% ; of them only 9.9% were identified as having iron def. anaemia (IDA) as per serum ferritin levels, highlighting other causes for anaemia is more prevalent among SRL pregnant women compared to IDA.
Sample size should be 865 not 383. Equation should be:
Ideally sample size should have been calculated to different entities of anaemia (as per available literature) i.e.: thalassemia, mixed deficiency, etc and sample size for the study should be the largest N of those (see here).

Is the rationale for, and objectives of, the study clearly described?

Partly
Is the study design appropriate for the research question?

Yes
Are sufficient details of the methods provided to allow replication by others?

Yes
Are the datasets clearly presented in a useable and accessible format?

Not applicable

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Community Medicine

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Author Response

13 May 2021

Gayani Amarasinghe, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Anuradhapura, 50000, Sri Lanka

We would like to express our gratitude for the valuable comments given by the reviewer. Please find a point by point reference for the comments below.

Comment 1: Abstract body should be homogeneous. Objectives are stated differently at different places. Propose to improve the title as -assessing/exploring prevalence of known causes of anemia- rather than "assessing etiology".
Response: Thank you for pointing out the discrepancy in stated objectives at different places. We have corrected the objectives in the abstract and the main text to improve the clarity and homogeneity. We would like to adhere to the original title of the article rather than updating to ‘exploring prevalence of known etiologies’ as our original aim is to actually identify etiologies that may matter in the study population. That’s why the algorithm includes examination of peripheral blood film assessments (in hope of identifying clues to alternate etiologies) when the suspected etiology proves unlikely according to the algorithm based testing.

Comment 2: Justification could have been backed by stronger reference from 2015 National nutrition survey which revealed - prevalence of anaemia among preg. women as 31.8% ; of them only 9.9% were identified as having iron def. anaemia (IDA) as per serum ferritin levels, highlighting other causes for anaemia is more prevalent among SRL pregnant women compared to IDA.
Response: Thank you for this valuable suggestion. We updated the text accordingly.

Comment 3: Sample size should be 865 not 383.
Response: Thank you very much for pointing this out. We have used the same formula for calculation. However, we have mentioned that we used 2% precision for the calculation whereas we had actually used 3% precision. This has been a mistake from us and has been corrected in the new version.

Comment 4: Ideally sample size should have been calculated to different entities of anaemia (as per available literature) i.e.: thalassemia, mixed deficiency, etc. and sample size for the study should be the largest N of those (see here).
Response: We agree that this would have been the ideal method. However, when the known population prevalence of etiologies (iron deficiency and thalassemia) among pregnant women are applied for the sample size calculation, obtained minimum sample sizes are smaller than the sample size we have used (n-1866). Hence we employed this method also taking into consideration the feasibility.

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Competing Interests

None

Alongside their report, reviewers assign a status to the article:

Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested

Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.

Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions

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Cross-sectional study to assess etiology and associated factors for anaemia during first trimester of pregnancy in Anuradhapura District, Sri Lanka: a protocol

Abstract

Keywords

Revised Amendments from Version 2

Introduction

Methods

Study setting

Figure 1. Map of the Anuradhapura district, Sri Lanka.

Study design

Eligibility criteria

Sample size

Recruitment

Data collection: Component 1

Development and testing of the algorithm

Figure 2. Algorithm for investigating etiology of anaemia among first trimester pregnant women in Anuradhapura district.

Data collection: Component 2

Outcomes

Data management

Data analysis

Ethical considerations

Confidentiality

Dissemination of findings

Study status

Discussion

Data availability

Underlying data

Extended data

References

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