Unlabelled: Few studies have explored the effect of frailty on the long-term survival of COVID-19 patients after ICU admission. Furthermore, the Clinical Frailty Scale (CFS) validity in critical care patients remains debated. We investigated the association between frailty and 6-month survival in critically ill COVID-19 patients. We also explored whether ICU resource utilization varied according to frailty status and examined the concurrent validity of the CFS in this setting.
Design: Ancillary study of a longitudinal prospective cohort.
Setting: University hospital in São Paulo.
Patients: Patients with severe COVID-19 admitted to ICU.
Interventions: None.
Measurements And Main Results: We assessed baseline frailty using the CFS (1-9; frail ≥ 5) and used validated procedures to compute a Frailty Index (0-1; frail > 0.25). We used Cox models to estimate associations of frailty status with 6-month survival after ICU admission and area under the receiver operating characteristic curves (AUCs) to estimate CFS's accuracy in identifying frailty according to Frailty Index. We included 1,028 patients (mean age, 66 yr; male, 61%). Overall, 224 (22%) patients were frail (CFS ≥ 5), and 608 (59%) died over the 6-month follow-up. Frailty was independently associated with lower 6-month survival and further stratified mortality in patients with similar age and Sequential Organ Failure Assessment scores. We additionally verified that the CFS was highly accurate in identifying frailty as defined by the Frailty Index (AUC, 0.91; 95% CI, 0.89-0.93). Although treatment modalities did not diverge according to frailty status, higher CFS scores were associated with withholding organ support due to refractory organ failure.
Conclusions: One in five COVID-19 patients admitted to the ICU was frail. CFS scores greater than or equal to 5 were associated with lower long-term survival and decisions on withholding further escalation of invasive support for multiple organ failure in the ICU. Clinicians should consider frailty alongside sociodemographic and clinical measures to have a fuller picture of COVID-19 prognosis in critical care.
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http://dx.doi.org/10.1097/CCE.0000000000000712 | DOI Listing |
Am J Sports Med
January 2025
Department of Orthopaedics, Rush University Medical Center, Rush University Medical College, Chicago, Illinois, USA.
Background: Critical analysis of studies with high level of evidence has relied on the significance set by the reported values. However, this strategy steers readers toward categorical interpretation of the data; therefore, a more comprehensive approach of data analysis is warranted. The continuous fragility index (CFI) allows for frailty interpretation of any given study's continuous outcome results.
View Article and Find Full Text PDFBMC Med Res Methodol
January 2025
Department of Computer Science and Engineering, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran.
Time-to-event data are very common in medical applications. Regression models have been developed on such data especially in the field of survival analysis. Kernels are used to handle even more complicated and enormous quantities of medical data by injecting non-linearity into linear models.
View Article and Find Full Text PDFJt Comm J Qual Patient Saf
November 2024
Conceptual Framework: The Surgical Pause is a rapid, scalable strategy for health care systems to optimize perioperative outcomes for high-risk, frail patients considering elective surgery. The first and most important step is to screen for frailty, thereby identifying the 5% to 10% of patients at most risk for postoperative complications, loss of independence, institutionalization, and mortality. The second step is to take action to improve outcomes.
View Article and Find Full Text PDFAm J Geriatr Psychiatry
December 2024
Department of Clinical and Experimental Sciences (DA, BB), University of Brescia, Brescia, Italy; Molecular Markers Laboratory (BB), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy. Electronic address:
Objectives: The present study aims to assess the prevalence, associated clinical symptoms, longitudinal changes, and imaging correlates of Loss of Insight (LOI), which is still unexplored in syndromes associated with Frontotemporal Lobar Degeneration (FTLD).
Design: Retrospective longitudinal cohort study, from Oct 2009 to Feb 2023.
Setting: Tertiary Frontotemporal Dementia research clinic.
Heart Rhythm
January 2025
Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China. Electronic address:
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