Autor: |
Yun-Cong Zheng, Yen-Min Huang, Pin-Yuan Chen, Hsiao-Yean Chiu, Huang-Pin Wu, Chien-Ming Chu, Wei-Siang Chen, Yu-Cheng Kao, Ching-Fang Lai, Ning-Yi Shih, Chien-Hong Lai |
Jazyk: |
angličtina |
Rok vydání: |
2023 |
Předmět: |
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Zdroj: |
European Journal of Medical Research, Vol 28, Iss 1, Pp 1-11 (2023) |
Druh dokumentu: |
article |
ISSN: |
2047-783X |
DOI: |
10.1186/s40001-022-00972-w |
Popis: |
Abstract Background We established 1-h 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 h and 1 day. Results Of the 140 enrolled patients, 76 (54.3%) died within 1 h and 35 (25%) survived beyond 24 h. No spontaneous breathing trial (SBT) within the past 24 h, minute ventilation (MV) ≥ 12 L/min, and APACHE II score ≥ 25 were associated with shorter survival in the 1 h 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 h 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. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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