Impact of COVID-19 on non-COVID intensive care unit service utilization, case mix and outcomes: A registry-based analysis from India

Author:

,KJ Adhikari NeillORCID,Beane AbiORCID,Devaprasad Dedeepiya,Fowler Robert,Haniffa RashanORCID,James Augustian,Jayakumar Devachandran,Kodippily Chamira,Aravindakshan Kooloth Rohit,Laxmappa Rakesh,Mangal Kishore,Mani Ashwin,Mathew Meghena,Pari Vrindha,Patodia Sristi,Pattnaik Rajyabardhan,Priyadarshini DilanthiORCID,Pulicken MathewORCID,Rabindrarajan Ebenezer,Ramachandran Pratheema,Ramesh Kavita,Rani Usha,Ramaiyan Ananth,Ramakrishnan Nagarajan,Ranganathan LakshmiORCID,Rashan AasiyahORCID,Dominic Savio Raymond,Selva Jaganathan,Tirupakuzhi Vijayaraghavan Bharath KumarORCID,Tripathy SwagataORCID,Udayanga IsharaORCID,Venkataraman Ramesh

Abstract

Background: Coronavirus disease 2019 (COVID-19) has been responsible for over 3.4 million deaths globally and over 25 million cases in India. As part of the response, India imposed a nation-wide lockdown and prioritized COVID-19 care in hospitals and intensive care units (ICUs). Leveraging data from the Indian Registry of IntenSive care, we sought to understand the impact of the COVID-19 pandemic on critical care service utilization, case-mix, and clinical outcomes in non-COVID ICUs.  Methods: We included all consecutive patients admitted between 1 st October 2019 and 27 th September 2020. Data were extracted from the registry database and included patients admitted to the non-COVID or general ICUs at each of the sites. Outcomes included measures of resource-availability, utilisation, case-mix, acuity, and demand for ICU beds. We used a Mann-Whitney test to compare the pre-pandemic period (October 2019 - February 2020) to the pandemic period (March-September 2020). In addition, we also compared the period of intense lockdown (March-May 31 st 2020) with the pre-pandemic period. Results: There were 3424 patient encounters in the pre-pandemic period and 3524 encounters in the pandemic period. Comparing these periods, weekly admissions declined (median [Q1 Q3] 160 [145,168] to 113 [98.5,134]; p<0.001); unit turnover declined (median [Q1 Q3] 12.1 [11.32,13] to 8.58 [7.24,10], p<0.001), and APACHE II score increased (median [Q1 Q3] 19 [19,20] to 21 [20,22] ; p<0.001). Unadjusted ICU mortality increased (9.3% to 11.7%, p=0.015) and the length of ICU stay was similar (median [Q1 Q3] 2.11 [2, 2] vs. 2.24 [2, 3] days; p=0.151). Conclusion: Our registry-based analysis of the impact of COVID-19 on non-COVID critical care demonstrates significant disruptions to healthcare utilization during the pandemic and an increase in the severity of illness.

Funder

Wellcome Trust

Publisher

F1000 Research Ltd

Subject

General Biochemistry, Genetics and Molecular Biology,Medicine (miscellaneous)

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