Evidence map›Paper›PMID 35113971›Full record

ArticlePloS one2022

Predictors of mortality among hospitalized COVID-19 patients and risk score formulation for prioritizing tertiary care-An experience from South India.

Narendran Gopalan, Sumathi Senthil, Narmadha Lakshmi Prabakar, Thirumaran Senguttuvan, Adhin Bhaskar, Muthukumaran Jagannathan, Ravi Sivaraman, Jayalakshmi Ramasamy, Ponnuraja Chinnaiyan, Vijayalakshmi Arumugam and 16 more

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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

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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

26 authors.

Narendran GopalanDepartment of Clinical Research, ICMR-National Institute for Research in Tuberculosis (Formerly Tuberculosis Research Centre), Chennai, Tamil Nadu, India.ORCID 0000-0002-8049-7541
Sumathi SenthilDepartment of General Medicine, Government Chengalpattu Medical College & Hospital, Chengalpattu, Tamil Nadu, India.
Narmadha Lakshmi PrabakarDepartment of General Medicine, Government Chengalpattu Medical College & Hospital, Chengalpattu, Tamil Nadu, India.
Thirumaran SenguttuvanDepartment of Clinical Research, ICMR-National Institute for Research in Tuberculosis (Formerly Tuberculosis Research Centre), Chennai, Tamil Nadu, India.ORCID 0000-0003-1497-8678
Adhin BhaskarDepartment of Statistics, ICMR-National Institute for Research in Tuberculosis (Formerly Tuberculosis Research Centre), Chennai, Tamil Nadu, India.
Muthukumaran JagannathanGovernment Chengalpattu Medical College & Hospital, Chengalpattu, Tamil Nadu, India.
Ravi SivaramanMDRU, Government Chengalpattu Medical College & Hospital, Chengalpattu, Tamil Nadu, India.
Jayalakshmi RamasamyDepartment of General Medicine, Government Chengalpattu Medical College & Hospital, Chengalpattu, Tamil Nadu, India.
Ponnuraja ChinnaiyanDepartment of Statistics, ICMR-National Institute for Research in Tuberculosis (Formerly Tuberculosis Research Centre), Chennai, Tamil Nadu, India.
Vijayalakshmi ArumugamDepartment of Microbiology, Government Chengalpattu Medical College & Hospital, Chengalpattu, Tamil Nadu, India.
Banumathy GetrudeDepartment of Community Medicine, Government Chengalpattu Medical College & Hospital, Chengalpattu, Tamil Nadu, India.
Gautham SakthivelDepartment of General Medicine, Government Chengalpattu Medical College & Hospital, Chengalpattu, Tamil Nadu, India.
Vignes Anand SrinivasaluDepartment of Clinical Research, ICMR-National Institute for Research in Tuberculosis (Formerly Tuberculosis Research Centre), Chennai, Tamil Nadu, India.ORCID 0000-0002-4932-0617
Dhanalakshmi RajendranDepartment of Clinical Research, ICMR-National Institute for Research in Tuberculosis (Formerly Tuberculosis Research Centre), Chennai, Tamil Nadu, India.ORCID 0000-0003-3332-8400
Arunjith NadukkandiyilDepartment of General Medicine, Government Chengalpattu Medical College & Hospital, Chengalpattu, Tamil Nadu, India.
Vaishnavi RaviDepartment of General Medicine, Government Chengalpattu Medical College & Hospital, Chengalpattu, Tamil Nadu, India.
Sadiqa Nasreen Hifzour RahamaneDepartment of General Medicine, Government Chengalpattu Medical College & Hospital, Chengalpattu, Tamil Nadu, India.
Nirmal Athur ParamasivamDepartment of General Medicine, Government Chengalpattu Medical College & Hospital, Chengalpattu, Tamil Nadu, India.
Tamizhselvan ManoharanDepartment of Statistics, ICMR-National Institute for Research in Tuberculosis (Formerly Tuberculosis Research Centre), Chennai, Tamil Nadu, India.
Maheshwari TheyagarajanDepartment of Clinical Research, ICMR-National Institute for Research in Tuberculosis (Formerly Tuberculosis Research Centre), Chennai, Tamil Nadu, India.
Vineet Kumar ChadhaCentral Leprosy Teaching & Research Institute, Chengalpattu, Tamil Nadu, India.
Mohan NatrajanDepartment of Clinical Research, ICMR-National Institute for Research in Tuberculosis (Formerly Tuberculosis Research Centre), Chennai, Tamil Nadu, India.
Baskaran DhanarajDepartment of Clinical Research, ICMR-National Institute for Research in Tuberculosis (Formerly Tuberculosis Research Centre), Chennai, Tamil Nadu, India.
Manoj Vasant MurhekarICMR-National Institute for Research in Tuberculosis (Formerly Tuberculosis Research Centre), Chennai, Tamil Nadu, India.
Shanthi Malar RamalingamGovernment Chengalpattu Medical College & Hospital, Chengalpattu, Tamil Nadu, India.
Padmapriyadarsini ChandrasekaranICMR-National Institute for Research in Tuberculosis (Formerly Tuberculosis Research Centre), Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe retrospectively data-mined the case records of Reverse Transcription Polymerase Chain Reaction (RT-PCR) confirmed COVID-19 patients hospitalized to a tertiary care centre to derive mortality predictors and formulate a risk score, for prioritizing admission. METHODS AND

findingsData on clinical manifestations, comorbidities, vital signs, and basic lab investigations collected as part of routine medical management at admission to a COVID-19 tertiary care centre in Chengalpattu, South India between May and November 2020 were retrospectively analysed to ascertain predictors of mortality in the univariate analysis using their relative difference in distribution among 'survivors' and 'non-survivors'. The regression coefficients of those factors remaining significant in the multivariable logistic regression were utilised for risk score formulation and validated in 1000 bootstrap datasets. Among 746 COVID-19 patients hospitalised [487 "survivors" and 259 "non-survivors" (deaths)], there was a slight male predilection [62.5%, (466/746)], with a higher mortality rate observed among 40-70 years age group [59.1%, (441/746)] and highest among diabetic patients with elevated urea levels [65.4% (68/104)]. The adjusted odds ratios of factors [OR (95% CI)] significant in the multivariable logistic regression were SaO2<95%; 2.96 (1.71-5.18), Urea ≥50 mg/dl: 4.51 (2.59-7.97), Neutrophil-lymphocytic ratio (NLR) >3; 3.01 (1.61-5.83), Age ≥50 years;2.52 (1.45-4.43), Pulse Rate ≥100/min: 2.02 (1.19-3.47) and coexisting Diabetes Mellitus; 1.73 (1.02-2.95) with hypertension and gender not retaining their significance. The individual risk scores for SaO2<95-11, Urea ≥50 mg/dl-15, NLR >3-11, Age ≥50 years-9, Pulse Rate ≥100/min-7 and coexisting diabetes mellitus-6, acronymed collectively as 'OUR-ARDs score' showed that the sum of scores ≥ 25 predicted mortality with a sensitivity-90%, specificity-64% and AUC of 0.85.

conclusionsThe 'OUR ARDs' risk score, derived from easily assessable factors predicting mortality, offered a tangible solution for prioritizing admission to COVID-19 tertiary care centre, that enhanced patient care but without unduly straining the health system.

Indexed as

HospitalizationHospital MortalityAdultAgedComorbidityCOVID-19FemaleHumansIndiaMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsSARS-CoV-2Severity of Illness Index

Identifiers

PMID35113971
PMCPMC8812932

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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.