Evidence map›Paper›PMID 34589359›Full record

ArticleCureus2021

A Prospective Study of Specialized Coagulation Parameters in Admitted COVID-19 Patients and Their Correlation With Acute Respiratory Distress Syndrome and Outcome.

Tushar Sehgal, Nitesh Gupta, Santvana Kohli, Aditi Khurana, Jasmita Dass, Sahil Diwan, Mahendran A J, Maroof Khan, Mukul Aggarwal, Arulselvi Subramanian

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Review
  5. Review
  6. Review
  7. Dysregulation of Protein S in COVID-19.Best practice & research. Clinical haematology · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Tushar SehgalLaboratory Medicine, All India Institute of Medical Sciences, New Delhi, IND.
Nitesh GuptaInternal Medicine • Pulmonology, Vardhman Mahavir Medical College, Safdarjung Hospital, New Delhi, IND.
Santvana KohliAnesthesiology, Vardhaman Mahavir Medical College, Safdarjang Hospital, New Delhi, IND.
Aditi KhuranaEmergency Department, Vardhaman Mahavir Medical College, Safdarjang Hospital, New Delhi, IND.
Jasmita DassHematology, All India Institute of Medical Sciences, New Delhi, IND.
Sahil DiwanAnaesthesiology, Vardhaman Mahavir Medical College, Safdarjang Hospital, New Delhi, IND.
Mahendran A JInternal Medicine • Pulmonology, Safdarjung Hospital, New Delhi, IND.
Maroof KhanBiostatistics, All India Institute of Medical Sciences, New Delhi, IND.
Mukul AggarwalPediatrics • Hematology, All India Institute of Medical Sciences, New Delhi, IND.
Arulselvi SubramanianLaboratory Medicine, All India Institute of Medical Sciences, New Delhi, IND.
All India Institute of Medical Sciences · INSafdarjang Hospital · INVardhman Mahavir Medical College & Safdarjung Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Acute respiratory distress syndrome (ARDS) is a frequent complication of COVID-19 and is associated with a component of thrombo-inflammation and cytokine storm. COVID-19 also affects the hemostatic system causing multiple coagulation abnormalities that is a cause of concern and needs to be addressed.  Objective We aimed to assess coagulation parameters of COVID-19 patients and identify whether they could be used as potential prognostic biomarkers to predict ARDS and immediate outcomes. Methods This was a prospective study done on 68 patients at four serial time points. Patients between 18-85 years admitted to the hospital as in-patients and ICU with a confirmed diagnosis of COVID-19 by RT-PCR were included. Exclusion criteria included pregnancy, patients below and above the mentioned age, previously known coagulopathy, systemic anticoagulants or anti-platelet therapy or vitamin K antagonists and moribund patients. Patients were divided into three categories based on SOFA score at admission, presence (group 1) or absence (group 2) of ARDS and outcome (dead or alive). Routine and specialized coagulation tests were performed on patients' platelet-poor plasma at the time of study inclusion (day 0), days 3, 7 and at discharge on STAR Max®3 (Diagnostica Stago France) automated coagulation analyzer and included prothrombin time (PT), international normalized ratio (INR) (STA® -NeoPTimal), activated partial thromboplastin time (APTT) (STA® -Cephascreen), fibrinogen (STA® Liquid Fib), D-dimer (STA® LiatestD- Dimer), Protein C (STA Stachrom® Protein C), Protein S (STA® Latest Free Protein S) and Antithrombin (STA® Chrom ATIII). ELISA did testing for tissue plasminogen activator (Asserachrom® tPA) as per the manufacturer's protocol. Results Sixty-eight patients, including 43 (63%) males and 25 (37%) females, with a median age of 48 years (IQR 20-85), were recruited in this study. The incidence of ARDS was 34%, with a mortality of 13%. History of contact with a COVID-19 case was present in 71% (48/68) of the patients. Fever was the most common presenting symptom in 84% (57/68) of the patients. The most common comorbidities were hypertension and diabetes mellitus (DM) in 22% (15/68) and 21% (14/68) of the patients. DM (p=0.07) and chronic obstructive pulmonary disease (COPD) (p=0.03) were significantly associated with ARDS. DM (p=0.02), hypertension (p=0.01), and COPD (p=0.02) were also significantly associated with mortality. APTT was markedly prolonged among non-survivors at day 0 (D0) and D7 (p=0.03, p=0.02). D-Dimer was elevated in 38/68 (56%) patients at D0. D-Dimer levels were significantly higher in non-survivors (p<0.001), in ARDS patients (p=0.001) and patients with higher SOFA scores (p=0.001). ROC curve showed that D-dimer cut-off > 2.13 (AUC of 0.86) and >0.85 (AUC of 0.74) predicts mortality and ARDS, respectively. Among the natural anticoagulants, protein C was significantly associated with a high SOFA score at D0 and D3 (p=0.04).  Conclusion Diabetes mellitus, hypertension and COPD were associated with poor outcomes. D-dimer levels must be monitored in COVID patients due to their association with ARDS and mortality. We observed that the levels of natural anticoagulants fell during the illness, making them prone to coagulopathies; however, none were seen in this study. Elevated tPA levels were also found in our patients; fibrinolytic therapy may benefit COVID-19 patients suffering from ARDS.

Indexed as

ardscoagulation abnormalitiescovid-19outcomesofa score

Identifiers

PMID34589359
PMCPMC8464223
OpenAlexW3195640515

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.