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

N Narendran Gopalan V Vinod Kumar Viswanathan V Vignes Anand Srinivasalu S Saranya Arumugam A Adhin Bhaskar T Tamizhselvan Manoharan S Santosh Kishor Chandrasekar D Divya Bujagaruban R Ramya Arumugham G Gopi Jagadeeswaran S Saravanan Madurai Pandian A Arunalatha Ponniah T Thirumaran Senguttuvan P Ponnuraja Chinnaiyan B Baskaran Dhanraj V Vineet Kumar Chadha B Balaji Purushotham M Manoj Vasanth Murhekar

Abstract

Background Judicious 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. Methods De-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. Results Of 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. Conclusions The 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.

Article Details

Journal PLoS ONE
Volume / Issue Vol. 20, Issue 1
Published January 24, 2025
Pages e0312993
ISSN 1932-6203
Publisher Public Library of Science

Journal Info

PLoS ONE

Public Library of Science

ISSN: 1932-6203 Open Access Health Sciences

Authors (18)

N

Narendran Gopalan

V

Vinod Kumar Viswanathan

V

Vignes Anand Srinivasalu

S

Saranya Arumugam

A

Adhin Bhaskar

T

Tamizhselvan Manoharan

S

Santosh Kishor Chandrasekar

D

Divya Bujagaruban

R

Ramya Arumugham

G

Gopi Jagadeeswaran

S

Saravanan Madurai Pandian

A

Arunalatha Ponniah

T

Thirumaran Senguttuvan

P

Ponnuraja Chinnaiyan

B

Baskaran Dhanraj

V

Vineet Kumar Chadha

B

Balaji Purushotham

M

Manoj Vasanth Murhekar