Impact of COVID-19 on non-COVID intensive care unit service utilization, case mix and outcomes: A registry-based analysis from India
| Autor: | Rajyabardhan Pattnaik, Mathew Pulicken, Kavita Ramesh, Pratheema Ramachandran, Rohit Aravindakshan Kooloth, Usha Rani, Rakesh Laxmappa, Bharath Kumar Tirupakuzhi Vijayaraghavan, Robert A. Fowler, Sristi Patodia, Augustian James, Jaganathan Selva, Ishara Udayanga, Ananth Ramaiyan, Lakshmi Ranganathan, Ramesh Venkataraman, Nagarajan Ramakrishnan, Rashan Haniffa, Meghena Mathew, Swagata Tripathy, Devachandran Jayakumar, Ebenezer Rabindrarajan, Abi Beane, Dilanthi Priyadarshini, Vrindha Pari, Ashwin K Mani, Dedeepiya Devaprasad, Aasiyah Rashan, Raymond Dominic Savio, Chamira Kodippily, Neill K. J. Adhikari, Kishore Mangal |
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| Přispěvatelé: | (IRIS), Indian Registry of IntenSive care |
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
medicine.medical_specialty Coronavirus disease 2019 (COVID-19) Medicine (miscellaneous) Apache II score General Biochemistry Genetics and Molecular Biology law.invention 03 medical and health sciences 0302 clinical medicine Case mix index law Service utilization Intensive care Severity of illness Pandemic medicine severity of illness 030212 general & internal medicine business.industry COVID-19 registries Articles Intensive care unit critical care 030104 developmental biology Emergency medicine business Research Article |
| Zdroj: | Wellcome Open Research |
| ISSN: | 2398-502X |
| Popis: | 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 1st October 2019 and 27th 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 31st 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=0.00002); unit turnover declined (median [Q1 Q3] 12.1 [11.32,13] to 8.58 [7.24,10], p 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. |
| Databáze: | OpenAIRE |
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