Predictors of early and long-term mortality after ICU discharge in critically ill COVID-19 patients: A prospective cohort study

被引:1
|
作者
Santos, Mariana M. S. [1 ,2 ,3 ,4 ]
Pereira, Isabel J. [1 ,4 ,5 ,6 ]
Cuboia, Nelson [1 ,2 ,3 ,4 ]
Reis-Pardal, Joana [1 ,2 ,3 ,4 ]
Adriao, Diana [5 ]
Cardoso, Teresa [7 ]
Aragao, Irene [7 ]
Santos, Lurdes [8 ,9 ,10 ]
Sarmento, Antonio [8 ,9 ,10 ]
Rosa, Regis G. [11 ,12 ,13 ]
Granja, Cristina [4 ,6 ,8 ,10 ,14 ,15 ]
Teixeira, Cassiano [13 ,16 ,17 ]
Azevedo, Luis [1 ,2 ,3 ,4 ]
机构
[1] Univ Porto, Fac Med, Dept Community Med Informat & Hlth Decis Sci, MEDCIDS Med Comunidade Informacao & Decisao Saude, Porto, Portugal
[2] Univ Porto, CINTESIS RISE Ctr Hlth Technol & Serv Res CINTESIS, Porto, Portugal
[3] Univ Porto, Hlth Res Network Associated Lab RISE, Porto, Portugal
[4] Univ Porto, Fac Med, Porto, Portugal
[5] Ctr Hosp Gaia Espinho Vila Nova De Gaia, Polyvalent Intens Care Med Serv, Vila Nova De Gaia, Portugal
[6] CINTESIS Ctr Hlth, CriticalMed Crit Care & Emergency Med, Porto, Portugal
[7] Univ Porto, Hosp Santo Antonio, Oporto Hosp Ctr, Intens Care Unit UCIP, Porto, Portugal
[8] CHUSJ Ctr Hosp Univ S Joao, Porto, Portugal
[9] Ctr Hosp Univ S Joao, Infect Dis Intens Care Unit ID ICU, Porto, Portugal
[10] Ctr Hosp Univ Sao Joao Porto, Intens Care Dept, Porto, Portugal
[11] Hosp Moinhos Vento, Porto Alegre, RS, Brazil
[12] INOVA Med, Res Unit, Porto Alegre, RS, Brazil
[13] Brazilian Res Intens Care Network BRICNet, Sao Paulo, SP, Brazil
[14] Ctr Hosp Univ Sao Joao, Anaesthesiol Dept, Porto, Portugal
[15] Univ Porto, Fac Med, Dept Surg & Physiol, Porto, Portugal
[16] Hosp Clin Porto Alegre, Intens Care Dept, Porto Alegre, RS, Brazil
[17] UFCSPA Med Sch, Porto Alegre, RS, Brazil
来源
PLOS ONE | 2023年 / 18卷 / 11期
关键词
INTENSIVE-CARE;
D O I
10.1371/journal.pone.0293883
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background To mitigate mortality among critically ill COVID-19 patients, both during their Intensive Care Unit (ICU) stay and following ICU discharge, it is crucial to measure its frequency, identify predictors and to establish an appropriate post-ICU follow-up strategy.Methods In this multicentre, prospective cohort study, we included 586 critically ill COVID-19 patients.Results We observed an overall ICU mortality of 20.1% [95%CI: 17.1% to 23.6%] (118/586) and an overall hospital mortality of 25.4% [95%CI: 22.1% to 29.1%] (149/586). For ICU survivors, 30 days (early) post-ICU mortality was 5.3% [95%CI: 3.6% to 7.8%] (25/468) and one-year (late) post-ICU mortality was 7.9% [95%CI: 5.8% to 10.8%] (37/468). Pre-existing conditions/comorbidities were identified as the main independent predictors of mortality after ICU discharge: hypertension and heart failure were independent predictors of early mortality; and hypertension, chronic kidney disease, chronic obstructive pulmonary disease and cancer were independent predictors of late mortality.Conclusion Early and late post-ICU mortality exhibited an initial surge (in the first 30 days post-ICU) followed by a subsequent decline over time. Close monitoring of critically ill COVID-19 post-ICU survivors, especially those with pre-existing conditions, is crucial to prevent adverse outcomes, reduce mortality and to establish an appropriate follow-up strategy.
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页数:14
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