Evidence map›Paper›PMID 34868744›Full record

ArticleCureus2021

Dynamics of Inflammatory Markers in Predicting Mortality in COVID-19.

Aditi Parimoo, Ashutosh Biswas, Upendra Baitha, Gaurav Gupta, Shivam Pandey, Piyush Ranjan, Vandana Gupta, Debarchan Barman Roy, Bindoo Prakash, Naveet Wig

Abstract 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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Review
  6. International journal of molecular sciences · 2023
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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.

Aditi ParimooDepartment of Medicine, All India Institute of Medical Sciences, New Delhi, IND.
Ashutosh BiswasDepartment of Medicine, All India Institute of Medical Sciences, New Delhi, IND.
Upendra BaithaDepartment of Medicine, All India Institute of Medical Sciences, New Delhi, IND.
Gaurav GuptaDepartment of Medicine, All India Institute of Medical Sciences, New Delhi, IND.
Shivam PandeyDepartment of Biostatistics, All India Institute of Medical Sciences, New Delhi, IND.
Piyush RanjanDepartment of Medicine, All India Institute of Medical Sciences, New Delhi, IND.
Vandana GuptaDivision of Periodontics, Center for Dental Education and Research, All India Institute of Medical Sciences, New Delhi, IND.
Debarchan Barman RoyDepartment of Medicine, All India Institute of Medical Sciences, New Delhi, IND.
Bindoo PrakashDepartment of Medicine, All India Institute of Medical Sciences, New Delhi, IND.
Naveet WigDepartment of Medicine, All India Institute of Medical Sciences, New Delhi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction A cytokine storm is an important cause of morbidity and mortality in patients with coronavirus disease 2019 (COVID-19). The objective of the study was to determine the prognostic significance of pro-inflammatory cytokines with the overall final outcome of patients with COVID-19. Methods We conducted a retrospective study of 142 patients admitted with COVID-19 in the Department of Medicine at All India Institute of Medical Sciences, New Delhi, from May 2021 to June 2021. We obtained their demographic, clinical, and biochemical characteristics at baseline and 48-72 hours prior to the terminal event (survival/death). The data were analyzed to determine the prognostic significance of these markers on the final outcome. Results Higher levels of inflammatory markers were associated with a worse final outcome (ferritin p-value <0.001, c-reactive protein (CRP) p-value <0.001, interleukin 6 (IL-6) p-value 0.007, procalcitonin p-value 0.005, and lactic acid p-value 0.004). Optimal probability cut-offs for these markers for predicting mortality were: ferritin: 963 ng/mL (sensitivity - 67.35%, specificity - 67.50%), CRP: 66.3 mg/L (sensitivity - 78.43%, specificity - 74.12%), IL-6: 46.2 pg/mL (sensitivity - 59.26%, specificity - 59.57%), procalcitonin: 0.3ng/mL (sensitivity - 65.38 %, specificity - 66.67%), lactic acid: 1.5 mg/dL (sensitivity - 59.26%, specificity - 58.57%). Multivariate logistic regression analysis was done, which showed that pre-terminal event CRP was associated with a statistically significant higher risk of mortality (Unadjusted OR 18.89, Adjusted OR 1.008, p=0.002, 95% CI 6.815 - 47.541). Conclusion Inflammatory markers have a prognostic significance in patients with COVID-19, with higher levels being associated with worse outcomes.

Indexed as

covid-19 indiacytokine storminflammatory biomarkersmortality predictorsoutcome predictors in covid-19

Identifiers

PMID34868744
PMCPMC8629097

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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.