Evidence map›Paper›PMID 39854588›Full record

ArticlePloS one2025

Prediction of mortality and prioritisation to tertiary care using the 'OUR-ARCad' risk score gleaned from the second wave of COVID-19 pandemic-A retrospective cohort study from South India.

Narendran Gopalan, Vinod Kumar Viswanathan, Vignes Anand Srinivasalu, Saranya Arumugam, Adhin Bhaskar, Tamizhselvan Manoharan, Santosh Kishor Chandrasekar, Divya Bujagaruban, Ramya Arumugham, Gopi Jagadeeswaran and 8 more

Abstract read
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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Narendran GopalanICMR-NIRT-Indian Council of Medical Research -National Institute for Research in Tuberculosis, Chetpet, Chennai, India.ORCID 0000-0002-8049-7541
Vinod Kumar ViswanathanGSMC-Government Stanley Medical College and Hospital, Chennai, India.ORCID 0000-0001-5039-1538
Vignes Anand SrinivasaluICMR-NIRT-Indian Council of Medical Research -National Institute for Research in Tuberculosis, Chetpet, Chennai, India.
Saranya ArumugamICMR-NIRT-Indian Council of Medical Research -National Institute for Research in Tuberculosis, Chetpet, Chennai, India.
Adhin BhaskarICMR-NIRT-Indian Council of Medical Research -National Institute for Research in Tuberculosis, Chetpet, Chennai, India.
Tamizhselvan ManoharanICMR-NIRT-Indian Council of Medical Research -National Institute for Research in Tuberculosis, Chetpet, Chennai, India.
Santosh Kishor ChandrasekarICMR-NIRT-Indian Council of Medical Research -National Institute for Research in Tuberculosis, Chetpet, Chennai, India.ORCID 0009-0006-8217-0901
Divya BujagarubanICMR-NIRT-Indian Council of Medical Research -National Institute for Research in Tuberculosis, Chetpet, Chennai, India.
Ramya ArumughamICMR-NIRT-Indian Council of Medical Research -National Institute for Research in Tuberculosis, Chetpet, Chennai, India.
Gopi JagadeeswaranICMR-NIRT-Indian Council of Medical Research -National Institute for Research in Tuberculosis, Chetpet, Chennai, India.
Saravanan Madurai PandianGSMC-Government Stanley Medical College and Hospital, Chennai, India.
Arunalatha PonniahGSMC-Government Stanley Medical College and Hospital, Chennai, India.
Thirumaran SenguttuvanNIE-Indian Council of Medical Research-National Institute of Epidemiology, Chennai, India.ORCID 0000-0003-1497-8678
Ponnuraja ChinnaiyanICMR-NIRT-Indian Council of Medical Research -National Institute for Research in Tuberculosis, Chetpet, Chennai, India.
Baskaran DhanrajICMR-NIRT-Indian Council of Medical Research -National Institute for Research in Tuberculosis, Chetpet, Chennai, India.
Vineet Kumar ChadhaNTI-National Tuberculosis Institute, Bangalore, India.
Balaji PurushothamGSMC-Government Stanley Medical College and Hospital, Chennai, India.
Manoj Vasanth MurhekarNIE-Indian Council of Medical Research-National Institute of Epidemiology, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundJudicious utilisation of tertiary care facilities through appropriate risk stratification assumes priority, in a raging pandemic, of the nature of delta variant-predominated second wave of COVID-19 pandemic in India. Prioritisation of tertiary care, through a scientifically validated risk score, would maximise recovery without compromising individual safety, but importantly without straining the health system.

methodsDe-identified data of COVID-19 confirmed patients admitted to a tertiary care hospital in South India, between April 1, 2021 and July 31, 2021, corresponding to the peak of COVID-19 second wave, were analysed after segregating into 'survivors' or 'non-survivors' to evaluate the risk factors for COVID-19 mortality at admission and formulate a risk score with easily obtainable but clinically relevant parameters for accurate patient triaging. The predictive ability was ascertained by the area under the receiver operator characteristics (AUROC) and the goodness of fit by the Hosmer-Lemeshow test and validated using the bootstrap method.

resultsOf 617 COVID-19 patients (325 survivors, 292 non-survivors), treated as per prevailing national guidelines, with a slight male predilection (358/617 [58.0%]), fatalities in the age group above and below 50 years were (217/380 [57.1%]) and (75/237 [31.6%]), p<0.001. The relative distribution of the various parameters among survivors and non-survivors including self-reported comorbidities helped to derive the individual risk scores from parameters significant in the multivariable logistic regression. The 'OUR-ARCad' risk score components were-Oxygen saturation SaO2<94%-23, Urea > 40mg/dL-15, Neutrophil/Lymphocytic ratio >3-23, Age > 50 years-8, Pulse Rate >100-8 and Coronary Artery disease-15. A summated score above 50, mandated tertiary care management (sensitivity-90%, specificity-75%; AUC-0.89), validated in 2000 bootstrap dataset.

conclusionsThe OUR-ARCad risk score, could potentially maximize recovery in a raging COVID-19 pandemic, through prioritisation of tertiary care services, neither straining the health system nor compromising patient's safety, delivering and diverting care to those who needed the most.

Indexed as

COVID-19Tertiary Health CareAdultAgedFemaleHumansIndiaMaleMiddle AgedPandemicsRetrospective StudiesRisk AssessmentRisk FactorsROC CurveSARS-CoV-2Tertiary Care Centers

Identifiers

PMID39854588
PMCPMC11761102

What Socratic holds

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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 Socratic graph.