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Prediction of Survival Time after Terminal Extubation: the Balance between Critical Care Unit Utilization and Hospice Medicine in the COVID-19 Pandemic Era (preprint)
researchsquare; 2022.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-2021529.v1
ABSTRACT
Background We established 1-hour and 1-day survival models after terminal extubation to optimize ventilator use and achieve a balance between critical care for COVID-19 and hospice medicine.Methods Data were obtained from patients with end-of-life status at terminal extubation from 2015 to 2020. The associations between APACHE II scores and parameters with survival time were analyzed. Parameters with a p-value ≤ 0.2 in univariate analysis were included in multivariate models. Cox proportional hazards regression analysis was used for the multivariate analysis of survival time at 1 hour and 1 day.Results Of the 140 enrolled patients, 76 (54.3%) died within 1 hour and 35 (25%) survived beyond 24 hours. No spontaneous breathing trial (SBT) within the past 24 hours, minute ventilation (MV) ≥ 12 L/min, and APACHE II score ≥ 25 were associated with shorter survival in the 1-hour regression model. Lower MV, SpO2 ≥ 96% and SBT were related to longer survival in the 1-day model. Hospice medications did not influence survival time.Conclusion An APACHE II score of ≥ 25 at 1 hour and SpO2 ≥ 96% at 1 day were strong predictors of disposition of patients to intensivists. These factors can help to objectively tailor pathways for post-extubation transition and rapidly allocate intensive care unit resources without sacrificing the quality of palliative care in the era of COVID-19.Trial registration They study was retrospectively registered. IRB No. 202101929B0
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Full text: Available Collection: Preprints Database: PREPRINT-RESEARCHSQUARE Main subject: COVID-19 Language: English Year: 2022 Document Type: Preprint

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Full text: Available Collection: Preprints Database: PREPRINT-RESEARCHSQUARE Main subject: COVID-19 Language: English Year: 2022 Document Type: Preprint