scholarly journals The FRAIL-FIT study: Frailty’s relationship with adverse-event incidence in the longer term, at one year following intensive care unit treatment – A retrospective observational cohort study

2019 ◽  
Vol 21 (2) ◽  
pp. 124-133 ◽  
Author(s):  
David Hewitt ◽  
Malcolm G Booth
Keyword(s):  
Intensive Care Unit ◽  
Cohort Study ◽  
Intensive Care ◽  
Confidence Interval ◽  
Observational Cohort Study ◽  
Clinical Frailty Scale ◽  
Frail Patients ◽  
Observational Cohort ◽  
One Year ◽  
Retrospective Observational Cohort Study

Introduction Frailty is a syndrome of decreased reserve and heightened vulnerability. Frailty scoring has potential to facilitate more informed decisions in the intensive care unit. To validate this, its relationship with outcomes must be tested extensively. This study aimed to investigate frailty’s impact on adverse outcomes after intensive care unit admission, primarily one-year mortality. Methods This single-centre retrospective observational cohort study examined prospectively collected data from 400 intensive care unit patients. Frailty was assessed using the Clinical Frailty Scale and defined as Clinical Frailty Scale ≥ 5. Unadjusted and adjusted analyses tested the relationships of frailty, covariates and outcomes. Results Of 400 eligible patients, 111 (27.8%) were frail and 289 (72.3%) were non-frail. Compared to non-frail patients, frail patients were older (62 vs. 56, p < 0.001) and had higher Acute Physiology and Chronic Health Evaluation II scores (22 vs. 19, p < 0.001). Females were more likely to be frail than males (34.1% vs. 22.9% frail, p = 0.018). Frail patients were less likely to survive the intensive care unit (p = 0.03), hospital (p = 0.003) or to one year (p < 0.001). Frailty significantly increased one-year mortality hazards in unadjusted analyses (hazard ratio 1.96; 95% confidence interval 1.41–2.72; p < 0.001) and covariate adjusted analyses (hazard ratio 1.41; 95% confidence interval 1.00–1.98; p = 0.0497). Frail patients had more hospital admissions (p = 0.014) and longer hospital stays within both one year before (p = 0.002) and one year after intensive care unit admission (p = 0.012). Conclusions Frailty was common and associated with greater age, female gender, higher sickness severity and more healthcare use. Frailty was significantly associated with greater risks of mortality in both unadjusted and adjusted analyses. Frailty scoring is a promising tool which could improve decision making in intensive care.

scholarly journals The FRAIL-FIT 30 Study – Factors influencing 30-day mortality in frail patients admitted to ICU: A retrospective observational cohort study

2021 ◽  
pp. 175114372098516
Author(s):  
David Hewitt ◽  
Michael Ratcliffe ◽  
Malcolm G Booth
Keyword(s):  
Cohort Study ◽  
Single Point ◽  
Observational Cohort Study ◽  
Adverse Outcomes ◽  
Royal Infirmary ◽  
Clinical Frailty Scale ◽  
Icu Admission ◽  
Frail Patients ◽  
Observational Cohort ◽  
Retrospective Observational Cohort Study

Background Frailty is a multi-dimensional syndrome of reduced reserve, resulting from overlapping physiological decrements across multiple systems. The contributing factors, temporality and magnitude of frailty’s effect on mortality after ICU admission are unclear. This study assessed frailty’s impact on mortality and life sustaining therapy (LST) use, following ICU admission. Methods This single-centre retrospective observational cohort study analysed data collected prospectively in Glasgow Royal Infirmary ICU. Of 684 eligible patients, 171 were frail and 513 were non-frail. Frailty was quantified using the Rockwood Clinical Frailty Scale (CFS). All patients were followed up 1-year after ICU admission. The primary outcome was all-cause mortality at 30-days post-ICU admission. Key secondary outcomes included mortality at 1-year and LST use. Results Frail patients were significantly less likely to survive 30-days post-ICU admission (61.4% vs 81.1%, p < 0.001). This continued to 1-year (48.5% vs 68.2%, p < 0.001). Frailty significantly increased mortality hazards in covariate-adjusted analyses at 30-days (HR 1.56; 95%CI 1.14–2.15; p = 0.006), and 1-year (HR 1.35; 95%CI 1.03–1.76; p = 0.028). Single-point CFS increases were associated with a 30-day mortality hazard of 1.23 (95%CI 1.13–1.34; p < 0.001) in unadjusted analyses, and 1.11 (95%CI 1.01–1.22; p = 0.026) after covariate adjustment. Frail patients received significantly more days of LST (median[IQR]: 5[3,11] vs 4[2,9], p = 0.008). Conclusion Frailty was significantly associated with greater mortality at all time points studied, but most notably in the first 30-days post-ICU admission. This was despite greater LST use. The accrual effect of frailty increased adverse outcomes. Point-by-point use of frailty scoring could allow for more informed decision making in ICU.

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