Evidence map›Paper›PMID 36060343›Full record

ArticleCureus2022

Novel Scoring Systems to Predict the Need for Oxygenation and ICU Care, and Mortality in Hospitalized COVID-19 Patients: A Risk Stratification Tool.

Vishakh C Keri, Pankaj Jorwal, Rohit Verma, Piyush Ranjan, Ashish D Upadhyay, Anivita Aggarwal, Radhika Sarda, Kunal Sharma, Shubham Sahni, Chaithra Rajanna

Abstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. 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.

Vishakh C KeriInfectious Diseases, All India Institute of Medical Sciences (AIIMS), New Delhi, IND.
Pankaj JorwalMedicine, All India Institute of Medical Sciences (AIIMS), New Delhi, IND.
Rohit VermaPsychiatry, All India Institute of Medical Sciences (AIIMS), New Delhi, IND.
Piyush RanjanMedicine, All India Institute of Medical Sciences (AIIMS), New Delhi, IND.
Ashish D UpadhyayStatistics, All India Institute of Medical Sciences (AIIMS), New Delhi, IND.
Anivita AggarwalInfectious Diseases, All India Institute of Medical Sciences (AIIMS), New Delhi, IND.
Radhika SardaInfectious Diseases, All India Institute of Medical Sciences (AIIMS), New Delhi, IND.
Kunal SharmaMedicine, All India Institute of Medical Sciences (AIIMS), New Delhi, IND.
Shubham SahniMedicine, All India Institute of Medical Sciences (AIIMS), New Delhi, IND.
Chaithra RajannaMedicine, All India Institute of Medical Sciences (AIIMS), New Delhi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA rapid surge in cases during the COVID-19 pandemic can overwhelm any healthcare system. It is imperative to triage patients who would require oxygen and ICU care, and predict mortality. Specific parameters at admission may help in identifying them. METHODOLOGY: A prospective observational study was undertaken in a COVID-19 ward of a tertiary care center. All baseline clinical and laboratory data were captured. Patients were followed till death or discharge. Univariable and multivariable logistic regression was used to find predictors of the need for oxygen, need for ICU care, and mortality. Objective scoring systems were developed for the same using the predictors.

resultsThe study included 209 patients. Disease severity was mild, moderate, and severe in 98 (46.9%), 74 (35.4%), and 37 (17.7%) patients, respectively. The neutrophil-to-lymphocyte ratio (NLR) >4 was a common independent predictor of the need for oxygen (p<0.001), need for ICU transfer (p=0.04), and mortality (p=0.06). Clinical risk scores were developed (10*c-reactive protein (CRP) + 14.8*NLR + 12*urea), (10*aspartate transaminase (AST) + 15.7*NLR + 14.28*CRP), (10*NLR + 10.1*creatinine) which, if ≥14.8, ≥25.7, ≥10.1 predicted need for oxygenation, need for ICU transfer and mortality with a sensitivity and specificity (81.6%, 70%), (73.3%, 75.7%), (61.1%, 75%), respectively.  Conclusion: The NLR, CRP, urea, creatinine, and AST are independent predictors in identifying patients with poor outcomes. An objective scoring system can be used at the bedside for appropriate triaging of patients and utilization of resources.

Indexed as

covid-19c-reactive proteinicumortalityneutrophil-lymphocyte ratiooxygenscoring system

Identifiers

PMID36060343
PMCPMC9424646

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