Keywords
Mucopolysaccharidosis, Inborn error, Inherited metabolic diseases, Iraqi children, Carrier frequency, the prevalence
Mucopolysaccharidosis, Inborn error, Inherited metabolic diseases, Iraqi children, Carrier frequency, the prevalence
Mucopolysaccharidosis (MPS) is a rare inherited metabolic disorder that is the most heterogeneous group of lysosomal storage diseases (LSD). It is characterized by multiorgan impairment caused by glycosaminoglycan (GAG) buildup in various tissues and organs, eventually resulting in severe debilitation and fatality in early life.1 There are 11 types/sub-types of MPS, each caused by a specific lysosomal enzyme dysfunction or deficiency that contributes to GAG breakdown and, as a result, causes a variety of clinical manifestations such as coarsening of facial characteristics, hepatosplenomegaly, cognitive impairment, dysostosis multiplex, hernias, corneal cloudiness, kyphoscoliosis, cardiac complications, etc.2 Different types usually have mutual symptoms, particularly MPS I and II, but MPS III and VII are characterized by severe neurological features and hydrops fetalis, respectively.3 These clinical symptoms are involved in the diagnosis of MPS. However, implementing newborn screening programs and enzymatic and molecular assays for early and precise diagnosis of asymptomatic suspected individuals is imperious for improving therapeutic outcomes.4,5 Enzyme replacement therapy (ERT) and hematopoietic stem cell transplantation are conventional therapeutic approaches for most MPS types/subtypes. However, the emergence of novel therapeutic strategies like gene therapy, pharmacological chaperone, and substrate reduction therapy is on the way to proving its effectiveness, especially for managing neurological manifestations and other intractable symptoms.6 All MPS types are inherited by autosomal recessive inheritance except MPS II, which is inherited as an X-linked pattern.7 The first case of MPS was diagnosed in 1917 by Charles Hunter; ethnicity and geographical region may affect the phenotypic characteristics of MPS.8 This is the first epidemiological survey regarding MPS in Iraq, although there were similar studies considering the epidemiology of MPS disorders conducted in the province of Arabian nations; this retrospective epidemiological study of MPS was undertaken to calculate the birth prevalence rate and frequencies of different types of MPS for a period of one-decade from 2010 to 2020 in Iraq. In 2017, the overall prevalence of MPS in Saudi Arabia (a neighbor of Iraq) was estimated and calculated by Nouriya A. Al-Sannaa et al. as 15.64 per 100,000 live births.9 In 2013, a study of MPS prevalence in the United Arab Emirates (UAE) was achieved by Fatma A. Al-Jasmi et al. and revealed an overall prevalence of 5.5 per 100,000 live births.10 Ben Turkia H et al. in 2009 surveyed MPS epidemiology with the estimation of a combined MPS majority in Tunisia, and the result revealed 2.3 per 100,000 live births.11 Despite this, the worldwide studies regarding MPS epidemiology were insufficient; the overall birth prevalence of MPS in Portugal, Brazil, the USA, Malaysia, etc., was calculated.12
The reported epidemiological surveys are expected to be underestimated; this is attributed to insufficient data regarding the diagnosis of rare diseases.13 Therefore, further epidemiological studies regarding the prevalence of different MPS types become essential to estimate both the individual and overall influence of LSDs on patients, their families and the public and decide which therapeutic approach should be commenced to improve the outcomes prior to irreversible impairment effectively ensues. Furthermore, these data will be necessary to accurately assess the cost of these illnesses to community health care organizations, and they will serve as the basis for establishing screening and therapeutic programs.14
This study was designed to calculate the individual and overall birth prevalence of mucopolysaccharidosis in Iraq and the frequencies of each type. In the discussion, we compare the outcomes with described epidemiological statistics from other Arabian countries.
On July 26, 2022, the Ministry of Health and Environment, Al-Rasafa Health Directorate Training and Human Development Center Research Committee approved the research proposal as requested from the College of Pharmacy, University of Mustansiriyah, which defined the current study’s aims and projected data collection procedures (ethics board approval code: 386). An English version was provided on 16th October 2022.
The research also approved by Mustansiriyah University College of Pharmacy Research Ethics Committee at 28/6/2022 with approval number1 research number.13 The researcher explained the study’s goal and gave an information sheet to each responder and obtained signed permission to participate. There were no incentives given to the patients.
The present research was an observational, retrospective, cross-sectional study of patients who had already been diagnosed with MPS.
Two types of data were obtained. Firstly, the live births between 2010 and 2020 were obtained from the central registry of the Ministry of Health. The data were obtained as pdf file after direct visit to Ministry of Health, Environment of Iraq. Secondly, from July to October 2022, information was collected and investigated from populations diagnosed with MPS in five metabolic centers (there are only five metabolic centers available in Iraq), listed below, in Iraq, as seen in Figure 1.
1. Child’s Central Teaching Hospital/Metabolic diseases unit/Baghdad governorate.
2. Al-Kadhimiya Teaching Hospital/Metabolic diseases unit/Baghdad governorate.
3. Medical City/Pediatric Teaching Hospital/Baghdad governorate.
4. Faiha Specialized Diabetes, Endocrine, and Metabolism Center (FDEMC)/Basra governorate.
5. Raparin Children’s Hospital/Erbil governorate.
The patients were identified from their patient files at the five centers, and asked to participate in this research during their weekly hospital visits to get ERT supplements. Written informed consent to allow their data records to be used in this research was obtained from the patients. For patients that were minors, parental consent was obtained during these visits. Approval to access the patient records was approved by each center.
Study size
Since the research is concerned with estimating prevalence, no estimation of sample size was performed; consequently, all individuals diagnosed with this condition were included in the study.
Data analysis and calculation of prevalence
The numbers of live births in Iraq were obtained from the Ministry of Health and Environment (Health and vital statistics department) for 2010-2020. Birth prevalence is calculated as (the number of defectively birthed cases in a definite province and time * 100,000) ÷ (the number of total live births in that province and time).13 Poisson distribution for the calculation of confidence intervals (95%) for the birth prevalence was considered through the implementation of MedCalc statistical software (version 20.218).15 In addition, the Hardy-Weinberg equation was used to calculate carrier frequency.16 The authors attempted to remove data that was inaccurate (e.g. family history of MPS was not complete), corrupted, poorly formatted, duplicated, or incomplete from a database. There is potential for data to be duplicated or mislabeled when merging different data sources from the Ministry database or hospitals. Therefore, data that did not belong in the live birth dataset was removed.
We attempted to eliminate selection bias during patient evaluation by having each individual’s diagnosis confirmed before enrollment. This was done by comparing recorded cases between the hospitals and the Ministry of Health’s central registry.
We tried to avoid geographic bias, i.e. the propensity to pick research locations for studies in a manner that excludes or decreases selection in specific geographic regions, by including all MPS specialised centers in Iraq.
Poisson distribution for the calculation of confidence intervals (95%) for the birth prevalence was considered, a Poisson distribution is a discrete probability distribution. It gives the probability of an event happening a certain number of times (k) within a given interval of time or space. This was employed through the implementation of MedCalc statistical software (version 20.218).
Live births documented in the Iraqi’s annual statistic report organized by the Ministry of Health from 2010 until 2020 totaled 12,319,467. In the past decade, we found 367 patients (more than half of them were males and aged older than 10 years as presented in Table 1) diagnosed with MPS I, II, III, IV, and VI, and no individuals have been diagnosed with MPS VII or IX. From our data, the overall birth prevalence of MPS is 2.97 per 100,000 live births; data on the birth prevalence rates are summarized in Table 2. Data regarding different MPS type frequencies are illustrated in Figure 2.
Disease | No. of patientsa | Prevalence per 100,000 live births | Prevalence (No. per live birth) | Poisson 95% confidence interval * 106 | Carrier frequencyb |
---|---|---|---|---|---|
MPS I | 73 | 0.593 | 5.93 * 10-6 | 4.64 – 7.45 | 4.87 |
MPS IIc | 43 | 0.349 | 3.49 * 10-6 | 2.52 – 4.70 | 3.73 |
MPS III B | 11 | 0.089 | 0.89 * 10-6 | 0.44 – 1.59 | 1.88 |
MPS IV A | 77 | 0.625 | 6.25 * 10-6 | 4.93 – 7.81 | 4.99 |
MPS VI | 163 | 1.320 | 13.2 * 10-6 | 11.28 – 15.43 | 7.23 |
Total No. | 367 | 2.97 | 29.7 * 10-6 | 26.82 – 33.00 | 10.84 |
The overall birth prevalence of MPS in the Iraqi population (2.97 per 100,000 live births), when compared with the birth prevalence of other Arabian countries, such as the UAE (5.5 per 100,000 live births) and Saudi Arabia (15.64 per 100,000 live births), was lower.9 However, it is similar to the birth prevalence in Tunisia (2.3 per 100,000 live births).17 The fact that there are only five specialized metabolic centers for diagnosis and registration of MPS cases in Iraq significantly facilitates data collection for this study; hence, we are highly confident (Poisson Confidence Interval 95%) that only a few instances might be undiagnosed. This could be attributed to several causes, including poor health awareness regarding implementation of newborn screening program, particularly for affected families, even after the first birthed child was diagnosed with MPS, unavailability of specialized centers that perform molecular analysis for diagnosis of suspected cases with an inborn error of metabolism. Therefore, several MPS cases might be undiagnosed.
Additionally, the poor financial status of most affected families may contribute to the underestimation of MPS cases, despite ERT and Diagnostic test presented as free medical services from government, most of poor families refuse to receive these services because they don’t have enough money for transportation and therefore neglect the diagnoses of other children who are recently born to MPS affected families. This fact was identified through phone communication with these families. Various types of MPS show different frequencies. In the Iraqi population, MPS VI was the most frequently reported type (1.32 per 100,000 live births, representing 44.41% of all MPS cases), followed by MPS IV A and MPS I (0.625 and 0.593 per 100,000 live births, respectively). The higher frequency rate of MPS VI among other MPS types was also reported in neighboring countries, including UAE and Saudi Arabia, which were 2.51 and 8.0 per 100,000 live births, respectively.9,10 Obviously, this could be attributed to the regional effect of similar variants or the high consanguinity rate, which increases the frequency of diseased allele transmission,18 which could be in accordance with the Iraqi situation. Typically, the correlation between consanguinity and homozygosity should be confirmed by genotyping, but molecular studies are still not available as a diagnostic tool in the Iraqi public health system. It is worth mentioning that the most prevalent type of MPS reported in almost all published studies was MPS III. Poorthuis et al. (1990) said that MPS II was more prevalent; this variation could be attributed to differences in ethnicity and geographical origin. In this study, it is imperative to mention the two children who are females affected by hunter MPS (type II), which attributed to skewed X-chromosomal inactivation and Iduronidase (IDS) de novo mutations, these two cases should receive genetic counseling with regard to their reproductive decisions.19
A limitation of our study is that there are no specialized laboratories to perform genetic analysis for confirmation of MPS diagnosis; thus, some cases may be missing, particularly mild cases that are difficult to diagnose. As a result, while providing comprehensive data on the epidemiological profile of MPS in Iraq, the total numbers obtained in this study may be underestimated. In addition, access to data at the registration centers was also challenging and time-consuming. This is due to the privacy of data recorded in these centers and the distant regions where the centers are located.
In conclusion, data obtained in this prevalence studies should be highly considered by the health system, including health care specialists, clinical genetics, and workers in laboratories involved in MPS diagnosis. Such information is essential for decision-makers to estimate the disease’s genetic and social burden to the public. Increasing awareness among affected families for early diagnoses, such as newborn screening programs for a new birth family member, may be needed. Estimating prevalence rates is essential and required for calculating the financial burden of therapeutic approaches for stabilizing MPS disorders like ERT.
Zenodo: Underlying data for Prevalence Rates of Mucopolysaccharidosis in Iraq: a retrospective cross-sectional observational study, https://doi.org/10.5281/zenodo.7783396. 20
This project contains the following underlying data:
The live births data can be obtained from the Iraqi Ministry of Health using contact details from their website. A paper-based request should be sent to the Department of Planning in the Statistics unit.
Zenodo: Patient’s Consent Form, https://doi.org/10.5281/zenodo.7652173. 21
Zenodo: Data sheet, https://doi.org/10.5281/zenodo.7652185. 22
Zenodo: Information sheet, https://doi.org/10.5281/zenodo.7714213. 23
Zenodo: STROBE checklist for ‘Prevalence Rates of Mucopolysaccharidosis in Iraq: a retrospective cross-sectional observational study,’ https://doi.org/10.5281/zenodo.7714215. 24
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
We thank Dr. Arabia and Dr. Dhaigham for their support in data collection from Child’s Central Teaching Hospital, Metabolic diseases Unit, Baghdad and Faiha Specialized Diabetes, and the Endocrine and Metabolism Center (FDEMC), Basra, respectively.
Views | Downloads | |
---|---|---|
F1000Research | - | - |
PubMed Central
Data from PMC are received and updated monthly.
|
- | - |
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Clinical Pharmacy and therapeutics
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | |
---|---|
1 | |
Version 1 13 Apr 23 |
read |
Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list:
Sign up for content alerts and receive a weekly or monthly email with all newly published articles
Already registered? Sign in
The email address should be the one you originally registered with F1000.
You registered with F1000 via Google, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Google account password, please click here.
You registered with F1000 via Facebook, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Facebook account password, please click here.
If your email address is registered with us, we will email you instructions to reset your password.
If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance.
Comments on this article Comments (0)