Impact of COVID-19 on non-COVID intensive care unit service utilization, case mix and outcomes: A registry-based analysis from India.
null nullNeill K J AdhikariAbigail BeaneDedeepiya DevaprasadRobert FowlerRashan HaniffaAugustian JamesDevachandran JayakumarChamira KodippilyRohit Aravindakshan KoolothRakesh LaxmappaKishore MangalAshwin ManiMeghena MathewVrindha PariSristi PatodiaRajyabardhan PattnaikDilanthi Gamage DoneMathew PulickenEbenezer RabindrarajanPratheema RamachandranKavita RameshUsha RaniAnanth RamaiyanNagarajan RamakrishnanLakshmi RanganathanAasiyah RashanRaymond Dominic SavioJaganathan SelvaBharath Kumar Tirupakuzhi Vijayaraghavan MdSwagata TripathyIshara UdayangaRamesh VenkataramanPublished in: Wellcome open research (2021)
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=0.00002); unit turnover declined (median [Q1 Q3] 12.1 [11.32,13] to 8.58 [7.24,10], p<0.00001), and APACHE II score increased (median [Q1 Q3] 19 [19,20] to 21 [20,22] ; p<0.00001). Unadjusted ICU mortality increased (9.3% to 11.7%, p=0.01519) and the length of ICU stay was similar (median [Q1 Q3] 2.11 [2, 2] vs. 2.24 [2, 3] days; p=0.15096). 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.
Keyphrases
- coronavirus disease
- sars cov
- intensive care unit
- healthcare
- respiratory syndrome coronavirus
- mechanical ventilation
- type diabetes
- adipose tissue
- emergency department
- machine learning
- cardiovascular events
- risk factors
- social media
- chronic pain
- pain management
- deep learning
- body composition
- artificial intelligence
- glycemic control