Evidence map›Paper›PMID 34987936›Full record

ArticleCureus2021

Epidemiology and Risk Factors of COVID-19-Related Mortality.

Debarchan Barman Roy, Vandana Gupta, Shalini Tomar, Gaurav Gupta, Ashutosh Biswas, Piyush Ranjan, Upendra Baitha, Shivam Pandey, 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. COVID-19-related hospital admission in spouses of partners in at-risk occupations.Scandinavian journal of work, environment & health · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Article
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.

Debarchan Barman RoyMedicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Vandana GuptaPeriodontics, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Shalini TomarMedicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Gaurav GuptaMedicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Ashutosh BiswasMedicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Piyush RanjanMedicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Upendra BaithaMedicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Shivam PandeyBiostatistics, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Bindoo PrakashMedicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Naveet WigMedicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction During the coronavirus disease 2019 (COVID-19) pandemic in India, several characteristics of hospitalized COVID-19 patients, based on demographics, mortality predictors, and presence of comorbidities, were found to be associated with poor outcomes. The objective of this study was to identify such epidemiological and clinical characteristics among the patients admitted at a tertiary-care center in India that may have predisposed them to COVID-19-related mortality. Methods This retrospective observational study conducted at the Department of Medicine, All India Institute of Medical Sciences, New Delhi, in May 2021 included 141 COVID-19 confirmed patients. The medical history, demographic characteristics, comorbidities, clinical findings, and laboratory data of each patient were obtained. The data were analyzed to identify significant clinical and laboratory parameters that led to the adverse final outcomes. Results Hypertension was the most common comorbidity and the presence of diabetes with hypertension led to poorer final outcomes. Lower oxygen saturation and requirement of oxygen supplementation at admission along with worse prognostic scores during admission led to poorer outcomes. Twenty-seven patients needed non-invasive ventilation (NIV) during the hospital course, and all ultimately landed up among the 56 patients who were managed on invasive mechanical ventilation (IMV). Multivariate logistic regression analysis performed identified COVID-19 severity at admission, co-existence of hypertension and diabetes mellitus, systolic blood pressure less than 90 mm Hg, and serum creatinine greater than 1.2 mg/dL to be associated with higher COVID-19 mortality. Conclusion COVID-19 patients having the co-existence of diabetes and hypertension constitute a high-risk group and may be targeted by prompt vaccination strategies. The presence of severe disease along with a need for oxygen therapy and other intensive care interventions ultimately led to unfavorable outcomes.

Indexed as

covid-19 indiacovid-19 mortalitydiabetes and hypertensionepidemiology and public healthrisk-factors

Identifiers

PMID34987936
PMCPMC8719433

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