Dose response relationship between D-dimer level and mortality in critically ill COVID-19 patients: a retrospective observational study

Dita Aditianingsih; Ratna Farida Soenarto; Artheta Mutiara Puiantana; Raymond Pranata; Michael Anthonius Lim; Putu Angga Risky Raharja; Ponco Birowo; Markus Meyer

doi:10.12688/f1000research.108972.1

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Research Article

Dose response relationship between D-dimer level and mortality in critically ill COVID-19 patients: a retrospective observational study

[version 1; peer review: 1 approved, 1 approved with reservations]

Dita Aditianingsih ^1,2, Ratna Farida Soenarto¹, Artheta Mutiara Puiantana¹, [...] Raymond Pranata³, Michael Anthonius Lim³, Putu Angga Risky Raharja⁴, Ponco Birowo⁴, Markus Meyer⁵

Dita Aditianingsih ^1,2, Ratna Farida Soenarto¹, [...] Artheta Mutiara Puiantana¹, Raymond Pranata³, Michael Anthonius Lim³, Putu Angga Risky Raharja⁴, Ponco Birowo⁴, Markus Meyer⁵

PUBLISHED 03 Mar 2022

Author details Author details

¹ Department of Anesthesia and Intensive Care, Dr. Cipto Mangunkusumo Hospital – Universitas Indonesia Hospital, Jakarta, DKI Jakarta, Indonesia
² Division of Critical Care, Universitas Indonesia Hospita, Depok, Jawa Barat, Indonesia
³ Faculty of Medicine, Pelita Harapan University, Tangerang, Banten, Indonesia
⁴ Department of Urology, Dr. Cipto Mangunkusumo Hospital – Universitas Indonesia Hospital, Jakarta, DKI Jakarta, Indonesia
⁵ Faculty of Medicine, Universitas Indonesia, Jakarta, DKI Jakarta, Indonesia

Dita Aditianingsih
Roles: Conceptualization, Data Curation, Formal Analysis, Funding Acquisition, Investigation, Methodology, Project Administration, Resources, Supervision, Validation, Writing – Original Draft Preparation, Writing – Review & Editing

Ratna Farida Soenarto
Roles: Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Project Administration, Resources, Software, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing

Artheta Mutiara Puiantana
Roles: Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Project Administration, Resources, Software, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing

Raymond Pranata
Roles: Data Curation, Formal Analysis, Investigation, Methodology, Project Administration, Resources, Software, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing

Michael Anthonius Lim
Roles: Resources, Supervision, Validation

Putu Angga Risky Raharja
Roles: Supervision, Validation

Ponco Birowo
Roles: Resources, Supervision, Validation

Markus Meyer
Roles: Supervision, Validation

OPEN PEER REVIEW

REVIEWER STATUS

This article is included in the Emerging Diseases and Outbreaks gateway.

Abstract

Background: Coronavirus disease 2019 (COVID-19) is a global pandemic. Coagulopathy is one of the most common complications characterized by increased D-dimer level. We aimed to investigate the dose-response relationship between elevated D-dimer level and mortality in critically ill COVID-19 patients.
Methods: This was a retrospective observational study in 259 critically ill COVID-19 patients requiring intensive care unit admission between March and December 2020. We compared the mortality rate between patients with and without elevated D-dimer. Receiver operating characteristic (ROC) curve analysis, Fagan’s nomogram, and dose-response relationship were performed to determine the association between D-dimer level and mortality.
Results: Overall mortality rate was 40.9% (106 patients). Median D-dimer level was higher in non-survivor group (10,170 ng/mL vs 4,050 ng/mL, p=0.028). The association remained significant after multivariate logistic regression analysis (p=0.046). The optimal cut-off for D-dimer level to predict mortality from ROC curve analysis was 9,020 ng/mL (OR (odds ratio) 3.73 [95% CI (confidence interval) 1.91 – 7.28], p<0.001). D-dimer level >9,020 ng/mL confers 67% posterior probability of mortality and D-dimer level <9,020 ng/mL had 35% probability of mortality.
Conclusions: There was a non-linear dose-response relationship between D-dimer level and mortality with P_nonlinearity of 0.004. D-dimer level was associated with mortality in critically ill COVID-19 patients in the non-linear dose-response relationship.

Keywords

COVID-19; critically ill; D-dimer; dose-response relationship; mortality

Corresponding author: Dita Aditianingsih

Competing interests: No competing interests were disclosed.

Grant information: The author(s) declared that no grants were involved in supporting this work.

Copyright: © 2022 Aditianingsih D 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: Aditianingsih D, Soenarto RF, Puiantana AM et al. Dose response relationship between D-dimer level and mortality in critically ill COVID-19 patients: a retrospective observational study [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2022, 11:269 (https://doi.org/10.12688/f1000research.108972.1) First published: 03 Mar 2022, 11:269 (https://doi.org/10.12688/f1000research.108972.1) Latest published: 10 Jan 2023, 11:269 (https://doi.org/10.12688/f1000research.108972.2)

Introduction

Currently, the coronavirus disease 2019 (COVID-19) is one of the most common diseases affecting society globally, causing a sizeable number of deaths as of 2022.¹ Although the majority of patients had only mild-moderate clinical manifestations, a small but significant proportion developed life-threatening complications, for example, multiple organ failure.²^–⁴ This is especially true in patients with comorbidities, such as diabetes mellitus (DM), chronic kidney disease (CKD), and cerebrovascular and cardiovascular diseases, that are associated with increased severity and mortality from COVID-19.⁵^–¹¹ The cases of COVID-19 remain high and threaten to overwhelm the healthcare system, therefore risk stratification is required for prudent allocation of resources. Several biomarkers have been evaluated or repurposed to attain this objective.¹²^–¹⁴

The importance of simple laboratory values, such as complete blood count, coagulation parameters, and inflammatory biomarkers, cannot be underestimated during the ongoing COVID-19 pandemic.¹⁵^–¹⁸ These values can help predict the severity of the disease course and often indicate the need for intensive care unit (ICU) admission or mechanical ventilation. Coagulopathy is among the most frequently found complications, which is characterized by the elevation of D-dimer level and changes in fibrinogen levels and platelet counts.¹⁹^,²⁰ Although increased D-dimer levels have been consistently observed in severely and critically ill patients, the optimal cut-off level and prognostic values remain unknown.²¹ This study aimed to investigate the dose-response relationship between elevated D-dimer level and mortality in critically ill COVID-19 patients.

Methods

Ethics

This study was conducted in accordance with the ethical standards of the Helsinki Declaration. The Ethics Committee of the Faculty of Medicine, Universitas Indonesia (date 15.06.20, No. 0593/UN2.F1/ETIK/PPM.00.02/2020) approved the study protocol. Informed consent was not obtained because the study was retrospective observational in nature.

Study design

This study was a retrospective observational study in Cipto Mangunkusumo Hospital and Universitas Indonesia Hospital, Indonesia. There were 261 critically ill COVID-19 patients requiring intensive care unit (ICU) admission between March and December 2020. COVID-19 diagnosis was based on a reverse transcriptase-polymerase chain reaction (RT-PCR) examination. We did consecutive enrollment to address any potential sources of bias. Data on the patients’ baseline clinical and laboratory characteristics were collected in a list form from the medical records in December 2020 and then analyzed using IBM SPSS Statistics version 25. We used a multivariate analysis to adjust the possible effect of confounders.

Outcome

The outcome of this study was mortality, defined as clinically validated death/non-survivor. The outcome was ascertained from the medical record and confirmed by the death certificate. An independent investigator of the data collection process and patient care performed the statistical analysis. We compared the mortality rate between the patients with elevated D-dimer level and those without.

Statistical analysis

We performed the statistical analysis using SPSS 25.0 (Armonk, US) and STATA 14.0 (College Station, TX, US). We tested continuous data for normal distribution; t-test was used for normally distributed data, and Mann-Whitney test was used for abnormally distributed data. Chi-square test or Fischer-Exact test was performed for categorical variables. Normally distributed continuous data were presented as mean and standard deviation (SD); while abnormally distributed continuous data were reported as the median and interquartile range (IQR). Bivariate analysis was performed to evaluate variables. Continuous variables were compared using either independent T or Mann-Whitney U test. Categorical variables were tested by using chi-square test. Significant variables (P<0.05) were included in the logistic regression analysis. ROC curve analysis was performed to determine the optimal cut-off points for the D-dimer level. The sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR-), and area under the curve (AUC) were calculated. Fagan’s nomogram was plotted to determine the posterior probability of mortality for the cut-off points determined by ROC curve analysis. The dose-response relationship between D-dimer level and mortality in the patients was explored and reported in the form of a restricted cubic spline.

Results

This study enrolled 261 critically ill COVID-19 patients between March 2020 and December 2020 in this study. Two patients were excluded due to missing data, so 259 patients who met the inclusion criteria were included in the analysis. The mortality rate was 40.9% (106 patients). Demographic characteristics, preoperative laboratory parameters, and comorbidities of the patients were presented in Table 1. Patients in the non-survivor group were older than the survivor group. The mean ages of the non-survivor group and survivor group are 56.04 years and 46.73 years, respectively (p<0.001). There was no significant difference in gender distribution between groups. Non-survivors were more likely to have higher D-dimer levels, leukocyte levels, C-reactive protein levels, and lower thrombocyte levels. Comorbidities such as hypertension, coronary artery disease, and chronic kidney disease were more frequently found in the non-survivor group.

Table 1. Demographic, laboratory parameters, and comorbidities between survivor and non-survivor group.

Variables	Non-survivor group (N=106)	Survivor group (N=153)	P value
Age (years)	56.04±15.12	46.73±15.66	<0.001
Gender			0.591
Male	72 (67.9%)	99 (64.7%)
Female	34 (32.1%)	54 (35.3%)
Laboratory parameters
D-dimer level (ng/mL)	10,170 (3007.5 – 21,497.5)	4,050 (1,740 – 8,210)	0.028
Hemoglobin (g/dL)	11.32±2.89	11.82±2.74	0.154
Leukocyte (×10³ cells/μL)	13.66 (8.50 – 18.46)	10.59 (7.05 – 15.92)	0.013
Thrombocyte (×10³ cells/μL)	235.5 (174.5 – 335.8)	308.0 (222.0 – 415.0)	<0.001
C-reactive protein (mg/L)	182.0 (112.3 – 305.7)	140.1 (65.5 – 195.9)	<0.001
Procalcitonin (mg/dL)	3.38 (0.43 – 20.15)	0.89 (0.24 – 4.80)	0.718
Comorbidities
Hypertension	57 (53.8%)	60 (39.2%)	0.021
Coronary artery disease	28 (26.4%)	21 (13.7%)	0.010
Diabetes mellitus	32 (30.2%)	38 (24.8%)	0.340
Chronic kidney disease	29 (27.4%)	14 (9.2%)	<0.001

D-dimer level and mortality

Median D-dimer level was higher in the non-survivor group (10,170 ng/mL vs 4,050 ng/mL, p=0.028). This association remained significant after logistic regression multivariate analysis (p=0.046), as shown in Table 2.

Table 2. Multivariate logistic regression analysis of significant variables.

Variables	P value
Age	<0.001
D-dimer level	0.046
Leukocyte	0.189
Thrombocyte	0.070
C-reactive protein	0.014
Hypertension	0.787
Coronary artery disease	0.177
Chronic kidney disease	0.315

The optimal cut-off level for D-dimer to predict mortality in critically ill COVID-19 patients was determined to be 9,020 ng/mL (OR 3.73 [95% CI 1.91 – 7.28], p<0.001) through ROC curve analysis. It was associated with 52% sensitivity, 78% specificity, LR+2.31, and LR- 0.62. The AUC was 0.657 (95% CI 0.573-0.740), p=0.001 [Figure 1]. In our patients, a D-dimer level of >9,020 ng/mL gave 67% posterior probability of mortality, and a D-dimer level of <9,020 ng/mL had 35% probability of mortality [Figure 2]. There was a non-linear dose-response relationship between D-dimer level and mortality with P_nonlinearity=0.004 [Figure 3].

Figure 1. ROC curve analysis of D-dimer levels with cut off of 9,020 ng/mL to predict mortality in critically ill COVID-19 patients.

Figure 2. Posterior probability of mortality with D-dimer level cut off of 9,020 ng/mL.

Figure 3. Non-linear dose-response relationship between D-dimer level and mortality.

Discussion

This study showed that D-dimer level has a non-linear dose-relationship with mortality in critically ill COVID-19 patients. The optimal D-dimer level cut-off point was 9,020 ng/mL. An elevation beyond the cut-off point confers to 67% posterior probability of mortality, and D-dimer level of <9,020 ng/mL had 35% probability of mortality.

D-dimer is a fragment produced when plasmin cleaves fibrin during clot breakdown. In clinical practice, D-dimer assays are frequently used to exclude a diagnosis of deep vein thrombosis (DVT) and pulmonary embolism (PE). Abnormal coagulation function, specifically blood clotting, is often indicated by an elevation in D-dimer level, reflecting a severe viral infection. Elevated D-dimer level is associated with COVID-19 progression as well as a greater death rate from community-acquired pneumonia (CAP).¹⁷^,²² For this reason, testing D-dimer level on admission could be useful to stratify patients with COVID-19 early and to determine the treatment plan. A high on-admission D-dimer level might suggest a prothrombotic state, increased fibrinolysis, bleeding, and thrombotic events, and indicate cytokine storm, tissue damage, or impending sepsis.¹⁷^,²³

Elevated D-dimer level has been shown to be associated with mortality in COVID-19 patients.¹⁷ This study showed that D-dimer level can be used for prognostication in critically ill COVID-19 patients and also showed the non-linear dose-response relationship of D-dimer level and mortality. Elevation of inflammatory cytokines and biomarkers such as interleukin (IL)-2, IL-6, IL-7, granulocyte-colony stimulating factor, macrophage inflammatory protein 1-α, tumor necrosis factor-α, C-reactive protein (CRP), ferritin, procalcitonin (PCT), and D-dimer level were found in the systemic hyperinflammation phase.¹⁷^,²⁴ Excessive hyperinflammation consequently leads to multi-organ failure²⁴^–²⁶; therefore D-dimer level may reflect the severity of inflammation. Additionally, SARS-CoV-2 can induce hypercoagulability,²⁷^,²⁸ causing thrombosis in cardiovascular systems as well as myocardial injuries.²⁹ Coagulopathy and cardiac injury results in higher mortality in patients with COVID-19,³^,²⁶^,³⁰^,³¹ which may explain the relationship between D-dimer level and mortality in COVID-19 patients.

There is a crosstalk between blood coagulation and inflammation. The release of pro-inflammatory cytokines results in the upregulation of tissue factor (TF) expression on the endothelial cells and monocytes surfaces, which further promotes procoagulant activity.³² Moreover, hypoxia in COVID-19, CAP, or other illnesses may stimulate thrombosis by upregulating the hypoxia-inducible transcription factors which modulate the expression of various coagulation and fibrinolytic factors such as TF, tissue factor pathway inhibitor, and plasminogen activator inhibitor-1 (PAI-1).³³ In addition, neutrophil extracellular traps, in which neutrophil infiltrates lung capillaries and cause fibrin deposition and acute inflammation, may exacerbate COVID-19 progression by causing organ damage and promoting thrombosis.³⁴

International Society of Thrombosis and Haemostasis (ISTH) guideline states that an elevated D-dimer levels indicates increased thrombin production. COVID-19 patients with markedly elevated D-dimer level may require hospitalization despite the severity of clinical presentation.¹⁷^,³⁵ Prophylactic anticoagulant is recommended in hospitalized patients with COVID-19 in the absence of contraindication.

A limitation of this study was the small sample size of patients from two centers that needed further external validation to support the clinical practice. This research began at the beginning of the pandemic, hence there were adjustments to the system for recording and storing medical records for COVID-19 patients. Secondary data was taken from the medical records, which had a risk of selection, recall, or misclassification bias. This study is a cross-sectional descriptive study, which was influenced by several data biases such as data availability, different follow-up examination, and different given therapies because several patients underwent another different study as this study was held.

Conclusion

D-dimer level was associated with mortality in critically ill COVID-19 patients in the non-linear dose-response relationship.

Data availability

Underlying data

figshare: Data Set (D-Dimer).xlsx. https://doi.org/10.6084/m9.figshare.17125520.v5

This project contains the following files:

- Data Set (D-Dimer) – Outcome.xlsx (Outcome of the subjects whether died or stepped down from ICU)
- Data Set (D-Dimer) – Characteristics.xlsx (Characteristics of the subjects, such as gender, age, body weight, comorbidities, and lab result)
- Data Set (D-Dimer) – Lab.xlsx (Lab result from each subject)

Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).

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Version 2

VERSION 2 PUBLISHED 03 Mar 2022

Author details Author details

Michael Anthonius Lim
Roles: Resources, Supervision, Validation

Putu Angga Risky Raharja
Roles: Supervision, Validation

Ponco Birowo
Roles: Resources, Supervision, Validation

Markus Meyer
Roles: Supervision, Validation

Competing interests

No competing interests were disclosed.

Grant information

The author(s) declared that no grants were involved in supporting this work.

Article Versions (2)

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Published: 10 Jan 2023, 11:269

https://doi.org/10.12688/f1000research.108972.2

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Published: 03 Mar 2022, 11:269

https://doi.org/10.12688/f1000research.108972.1

© 2022 Aditianingsih D 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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Aditianingsih D, Soenarto RF, Puiantana AM et al. Dose response relationship between D-dimer level and mortality in critically ill COVID-19 patients: a retrospective observational study [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2022, 11:269 (https://doi.org/10.12688/f1000research.108972.1)

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Reviewer Report 07 Sep 2022

Reza Zolfaghari Emameh, NIGEB, Tehran, Iran

Approved with Reservations

https://doi.org/10.5256/f1000research.120419.r147444

The manuscript entitled “Dose response relationship between D-dimer level and mortality in critically ill COVID-19 patients: a retrospective observational study” was reviewed carefully. The language is acceptable and the subject has great importance, although it is not the first report on the association of D-dimer high concentration with high mortality rate. Please see the following publication: https://www.scielo.br/j/clin/a/w3HnMz3KjhCfSJWVhfKMjRS/?format=pdf&lang=en.

Please state briefly about the literature on other factors having an association with high mortality rate or prepare a brief table with proper citations in the “Introduction”, such as PMID: 32572334¹, PMID: 32754004², PMID: 33407800³, PMID: 33083287⁴, and PMID: 36043922⁵.
Table 1: Why the diabetes survivor group has a higher percentage than the non-survivor group? I think diabetes patients are in the high-risk group.
Table 1: Why the thrombocyte percentage is higher in the survivor group than the non-survivor group? High thrombocyte count is one of the main reasons for VTE in COVID-19.

Therefore, after performing the modifications and due to the decision of the respected editor, this manuscript can be indexed.

Is the work clearly and accurately presented and does it cite the current literature?

Partly
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

References

1. Zolfaghari Emameh R, Falak R, Bahreini E: Application of System Biology to Explore the Association of Neprilysin, Angiotensin-Converting Enzyme 2 (ACE2), and Carbonic Anhydrase (CA) in Pathogenesis of SARS-CoV-2.Biol Proced Online. 2020; 22: 11 PubMed Abstract | Publisher Full Text
2. Zolfaghari Emameh R, Nosrati H, Eftekhari M, Falak R, et al.: Expansion of Single Cell Transcriptomics Data of SARS-CoV Infection in Human Bronchial Epithelial Cells to COVID-19.Biol Proced Online. 2020; 22: 16 PubMed Abstract | Publisher Full Text
3. Zolfaghari Emameh R, Eftekhari M, Nosrati H, Heshmatnia J, et al.: Identification and characterization of a silent mutation in RNA binding domain of N protein coding gene from SARS-CoV-2.BMC Res Notes. 2021; 14 (1): 10 PubMed Abstract | Publisher Full Text
4. Sepandi M, Taghdir M, Alimohamadi Y, Afrashteh S, et al.: Factors Associated with Mortality in COVID-19 Patients: A Systematic Review and Meta-Analysis.Iran J Public Health. 2020; 49 (7): 1211-1221 PubMed Abstract | Publisher Full Text
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Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Biotechnology, Bioinformatics, Carbonic anhydrase, SARS-CoV-2, COVID-19

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 10 Jan 2023

Dita Aditianingsih, Department of Anesthesia and Intensive Care, Dr. Cipto Mangunkusumo Hospital – Universitas Indonesia Hospital, Jakarta, Indonesia

10 Jan 2023

Author Response
First, thank you for the review.
1. We will add the article as you suggested.
2. We agree with the reviewer that diabetic patients have a higher
... Continue reading
First, thank you for the review.

We will add the article as you suggested.

We agree with the reviewer that diabetic patients have a higher risk. Although the diabetes survivor was higher, there was no significant difference in our patient for diabetes comorbidities (P =0.340), and it could be caused by the average younger age in the survivor group compared to the non-survivor group.

Thrombocytopenia is recognized as a negative prognostic factor in COVID-19 patients. Thrombocytopenia is detected in 5–41.7% of COVID-19 patients (the incidence varies according to disease severity) and it is typically mild. We briefly put it in the Introduction with some literature backgrounds.
First, thank you for the review.

We will add the article as you suggested.

We agree with the reviewer that diabetic patients have a higher risk. Although the diabetes survivor was higher, there was no significant difference in our patient for diabetes comorbidities (P =0.340), and it could be caused by the average younger age in the survivor group compared to the non-survivor group.

Thrombocytopenia is recognized as a negative prognostic factor in COVID-19 patients. Thrombocytopenia is detected in 5–41.7% of COVID-19 patients (the incidence varies according to disease severity) and it is typically mild. We briefly put it in the Introduction with some literature backgrounds.
Competing Interests: No competing interests were disclosed. Close
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Author Response 10 Jan 2023

Dita Aditianingsih, Department of Anesthesia and Intensive Care, Dr. Cipto Mangunkusumo Hospital – Universitas Indonesia Hospital, Jakarta, Indonesia

10 Jan 2023

Author Response
First, thank you for the review.
1. We will add the article as you suggested.
2. We agree with the reviewer that diabetic patients have a higher
... Continue reading
First, thank you for the review.

We will add the article as you suggested.

We agree with the reviewer that diabetic patients have a higher risk. Although the diabetes survivor was higher, there was no significant difference in our patient for diabetes comorbidities (P =0.340), and it could be caused by the average younger age in the survivor group compared to the non-survivor group.

Thrombocytopenia is recognized as a negative prognostic factor in COVID-19 patients. Thrombocytopenia is detected in 5–41.7% of COVID-19 patients (the incidence varies according to disease severity) and it is typically mild. We briefly put it in the Introduction with some literature backgrounds.
First, thank you for the review.

We will add the article as you suggested.

We agree with the reviewer that diabetic patients have a higher risk. Although the diabetes survivor was higher, there was no significant difference in our patient for diabetes comorbidities (P =0.340), and it could be caused by the average younger age in the survivor group compared to the non-survivor group.

Thrombocytopenia is recognized as a negative prognostic factor in COVID-19 patients. Thrombocytopenia is detected in 5–41.7% of COVID-19 patients (the incidence varies according to disease severity) and it is typically mild. We briefly put it in the Introduction with some literature backgrounds.
Competing Interests: No competing interests were disclosed. Close
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Reviewer Report 14 Mar 2022

Martin Westphal, University Hospital of Munster, Germany; Fresenius Kabi Deutschland GmbH, Bad Homburg, Germany

Approved

https://doi.org/10.5256/f1000research.120419.r126112

This is a very interesting and well conducted retrospective observational study in COVID-19 patients addressing a clinically relevant topic, i.e. the link between D-dimer levels and mortality.

Please be so kind and clarify the discrepancy in patient number reported in the abstract (259) and the study design (261), which just becomes obvious in the results section. Please clarify also, which data were missing, justifying exclusion. Were these exclusion criteria mentioned a priori in the study design/CRF?

The rather low sensitivity of the D-dimer levels to predict mortality represents a limitation that should be acknowledged and discussed. Are there any means to increase sensitivity, e.g. by combining 2 or more variables?

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?

Yes
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: Anesthesiology and intensive care

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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Version 2

VERSION 2 PUBLISHED 03 Mar 2022

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Version 1 03 Mar 22	read	read

Martin Westphal, University Hospital of Munster, Germany; Fresenius Kabi Deutschland GmbH, Bad Homburg, Germany
Reza Zolfaghari Emameh, NIGEB, Tehran, Iran
Luca Spiezia, Padua University, Padua, Italy

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24 Apr 2024 | for Version 2

Luca Spiezia, Padua University, Padua, Italy

6 Views Cite this report Responses(0)

Approved With Reservations

I read with interest the paper written by Ratna Farida Soenarto et al. that describes the association between D-dimer plasma levels and mortality in a group of n. 259 critically ill COVID-19 patients admitted to Intensive Care Unit (ICU) between March and December 2020. The authors found a significant association between D-dimer levels and mortality.
My comments:
1. I think the authors have looked at in-hospital mortality but it's not written anywhere. Please specify throughout the text.
2. When was the dimer sample taken?
the type of test used to determine d-dimer value must be specified so that data from this study can be compared with data from other studies
3. There are no inclusion and exclusion criteria.
4. It’s necessary to stratify cases and controls according to the severity of the infection (using for example the SOFA score) and it’s also necessary to add to the multivariate model the SOFA score.
5. The sentence “Coagulopathy is one of the most common complications characterized by increased D-dimer level” reported in the abstract is reductive and misleading. Several papers have been published in the literature describing the coagulation alterations in patients with Covid-19 related infection. Please delete/rewrite.
6. Both in the “Introduction” section and in the “Discussion” section the association among hypercoagulability (i.e. Spiezia L et al. Thromb Haemost. 2020 Jun;120(6):998-1000; Ranucci M et al. J Thromb Haemost. 2020 Jul;18(7):1747-1751; Pianigada M et al. J Thromb Haemost. 2020 Jul;18(7):1738-1742) and venous thromboembolism (i.e. Klok FA et al, Thromb Res. 2020 Jul;191:145-147, Middeldorp S et al, J Thromb Haemost. 2020 Aug;18(8):1995-2002, Lodigiani C et al, Thromb Res. 2020 Jul;191:9-14, Avruscio G et al. Clin Transl Sci. 2020 Nov;13(6):1108-1114) and mortality needs to be considered much more in detail.

Is the work clearly and accurately presented and does it cite the current literature?

Partly
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

Coagulation disorders and venous thromboembolism

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Reviewer Report

10 Views

23 Jan 2023 | for Version 2

Martin Westphal, University Hospital of Munster, Germany; Fresenius Kabi Deutschland GmbH, Bad Homburg, Germany

10 Views Cite this report Responses(0)

Approved

The authors took care of the comments raised by the reviewers and revised the manuscript appropriately.

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Anesthesiology and intensive care

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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31 Views

07 Sep 2022 | for Version 1

Reza Zolfaghari Emameh, NIGEB, Tehran, Iran

31 Views Cite this report Responses(1)

Approved With Reservations

Please state briefly about the literature on other factors having an association with high mortality rate or prepare a brief table with proper citations in the “Introduction”, such as PMID: 32572334¹, PMID: 32754004², PMID: 33407800³, PMID: 33083287⁴, and PMID: 36043922⁵.
Table 1: Why the diabetes survivor group has a higher percentage than the non-survivor group? I think diabetes patients are in the high-risk group.
Table 1: Why the thrombocyte percentage is higher in the survivor group than the non-survivor group? High thrombocyte count is one of the main reasons for VTE in COVID-19.

Therefore, after performing the modifications and due to the decision of the respected editor, this manuscript can be indexed.

Is the work clearly and accurately presented and does it cite the current literature?

Partly
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

References

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Biotechnology, Bioinformatics, Carbonic anhydrase, SARS-CoV-2, COVID-19

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Author Response

10 Jan 2023

Dita Aditianingsih, Department of Anesthesia and Intensive Care, Dr. Cipto Mangunkusumo Hospital – Universitas Indonesia Hospital, Jakarta, Indonesia

First, thank you for the review.

We will add the article as you suggested.
We agree with the reviewer that diabetic patients have a higher risk. Although the diabetes survivor was higher, there was no significant difference in our patient for diabetes comorbidities (P =0.340), and it could be caused by the average younger age in the survivor group compared to the non-survivor group.
Thrombocytopenia is recognized as a negative prognostic factor in COVID-19 patients. Thrombocytopenia is detected in 5–41.7% of COVID-19 patients (the incidence varies according to disease severity) and it is typically mild. We briefly put it in the Introduction with some literature backgrounds.

View more View less

Competing Interests

No competing interests were disclosed.

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Reviewer Report

29 Views

14 Mar 2022 | for Version 1

Martin Westphal, University Hospital of Munster, Germany; Fresenius Kabi Deutschland GmbH, Bad Homburg, Germany

29 Views Cite this report Responses(0)

Approved

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?

Yes
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

Anesthesiology and intensive care

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.

Respond to this report

Responses (0)

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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Dose response relationship between D-dimer level and mortality in critically ill COVID-19 patients: a retrospective observational study

Abstract

Keywords

Introduction

Methods

Ethics

Study design

Outcome

Statistical analysis

Results

Table 1. Demographic, laboratory parameters, and comorbidities between survivor and non-survivor group.

D-dimer level and mortality

Table 2. Multivariate logistic regression analysis of significant variables.

Figure 1. ROC curve analysis of D-dimer levels with cut off of 9,020 ng/mL to predict mortality in critically ill COVID-19 patients.

Figure 2. Posterior probability of mortality with D-dimer level cut off of 9,020 ng/mL.

Figure 3. Non-linear dose-response relationship between D-dimer level and mortality.

Discussion

Conclusion

Data availability

Underlying data

References

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