Characteristics and Outcomes of Frail Patients with COVID-19 Admitted to ICU: An Individual Patient Data Meta-Analysis

Abstract Purpose: Frailty is often used in clinical decision-making for patients with COVID-19, yet studies have found variable influence of frailty on outcomes in those admitted to the intensive care unit (ICU). In this individual patient data meta-analysis, we evaluated the characteristics, and outcomes of frail patients admitted to ICU with COVID-19.Methods: We contacted the corresponding authors of sixteen eligible studies published between December 1st 2019 and February 28th 2021 reporting the clinical frailty scale (CFS) in patients with confirmed COVID-19 admitted to ICU. Individual patient data was obtained from 7 studies. We classified patients as non-frail (CFS=1-4) or frail (CFS=5-8). The primary outcome was hospital mortality. We also compared the use of mechanical ventilation (MV) and the proportion of ICU bed-days between frailty categories. Results: Of the 2001 patients admitted to ICU, 388 (19.4%) were frail. Increasing age and sequential organ failure assessment (SOFA) score, CFS ≥4, use of MV, vasopressors, renal replacement therapy and hyperlactatemia were risk factors for death in a multivariable analysis. Hospital mortality was higher in frail patients (65.2% vs. 41.8%; p<0.001), with adjusted mortality increasing with a rising CFS score beyond 3. Younger and non-frail patients were more likely to receive MV. Frail patients spent less time on MV (median days [IQR] 9 [5-16] vs. 11 [6-18]; p=0.012) and accounted for only 12.3% of total ICU bed-days. Conclusion: Frail patients with COVID-19 were commonly admitted to ICU and had greater hospital mortality but spent relatively fewer days in ICU when compared with non-frail patients. Frail patients receiving MV were at greater risk of death than non-frail patients. Systematic review registration: Registration protocol in PROSPERO (CRD42020224255).

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Individual Patient-Level Meta-Analysis of the Performance of the Decipher Genomic Classifier in High-Risk Men After Prostatectomy to Predict Development of Metastatic Disease

Journal of Clinical Oncology ◽

10.1200/jco.2016.70.2811 ◽

2017 ◽

Vol 35 (18) ◽

pp. 1991-1998 ◽

Cited By ~ 91

Author(s):

Daniel E. Spratt ◽

Kasra Yousefi ◽

Samineh Deheshi ◽

Ashley E. Ross ◽

Robert B. Den ◽

...

Keyword(s):

High Risk ◽

Clinical Decision Making ◽

Individual Patient Data ◽

Meta Analysis ◽

Multivariable Analysis ◽

Subsequent Treatment ◽

Cox Proportional Hazards ◽

Patient Data ◽

Individual Patient Level ◽

Patient Level

Purpose To perform the first meta-analysis of the performance of the genomic classifier test, Decipher, in men with prostate cancer postprostatectomy. Methods MEDLINE, EMBASE, and the Decipher genomic resource information database were searched for published reports between 2011 and 2016 of men treated by prostatectomy that assessed the benefit of the Decipher test. Multivariable Cox proportional hazards models fit to individual patient data were performed; meta-analyses were conducted by pooling the study-specific hazard ratios (HRs) using random-effects modeling. Extent of heterogeneity between studies was determined with the I2 test. Results Five studies (975 total patients, and 855 patients with individual patient-level data) were eligible for analysis, with a median follow-up of 8 years. Of the total cohort, 60.9%, 22.6%, and 16.5% of patients were classified by Decipher as low, intermediate, and high risk, respectively. The 10-year cumulative incidence metastases rates were 5.5%, 15.0%, and 26.7% ( P < .001), respectively, for the three risk classifications. Pooling the study-specific Decipher HRs across the five studies resulted in an HR of 1.52 (95% CI, 1.39 to 1.67; I2 = 0%) per 0.1 unit. In multivariable analysis of individual patient data, adjusting for clinicopathologic variables, Decipher remained a statistically significant predictor of metastasis (HR, 1.30; 95% CI, 1.14 to 1.47; P < .001) per 0.1 unit. The C-index for 10-year distant metastasis of the clinical model alone was 0.76; this increased to 0.81 with inclusion of Decipher. Conclusion The genomic classifier test, Decipher, can independently improve prognostication of patients postprostatectomy, as well as within nearly all clinicopathologic, demographic, and treatment subgroups. Future study of how to best incorporate genomic testing in clinical decision-making and subsequent treatment recommendations is warranted.

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Longer than 2 hours to antibiotics is associated with doubling of mortality in a multinational community-acquired bacterial meningitis cohort

Scientific Reports ◽

10.1038/s41598-021-04349-7 ◽

2022 ◽

Vol 12 (1) ◽

Author(s):

Damon P. Eisen ◽

Elizabeth Hamilton ◽

Jacob Bodilsen ◽

Rasmus Køster-Rasmussen ◽

Alexander J. Stockdale ◽

...

Keyword(s):

Propensity Score ◽

Bacterial Meningitis ◽

Individual Patient Data ◽

Meta Analysis ◽

Multivariable Analysis ◽

Neurological Impairment ◽

Risk Of Death ◽

Time To Antibiotics ◽

Matched Data ◽

Study Designs

AbstractTo optimally define the association between time to effective antibiotic therapy and clinical outcomes in adult community-acquired bacterial meningitis. A systematic review of the literature describing the association between time to antibiotics and death or neurological impairment due to adult community-acquired bacterial meningitis was performed. A retrospective cohort, multivariable and propensity-score based analyses were performed using individual patient clinical data from Australian, Danish and United Kingdom studies. Heterogeneity of published observational study designs precluded meta-analysis of aggregate data (I2 = 90.1%, 95% CI 71.9–98.3%). Individual patient data on 659 subjects were made available for analysis. Multivariable analysis was performed on 180–362 propensity-score matched data. The risk of death (adjusted odds ratio, aOR) associated with treatment after two hours was 2.29 (95% CI 1.28–4.09) and increased substantially thereafter. Similarly, time to antibiotics of greater than three hours was associated with an increase in the occurrence of neurological impairment (aOR 1.79, 95% CI 1.03–3.14). Among patients with community-acquired bacterial meningitis, odds of mortality increase markedly when antibiotics are given later than two hours after presentation to the hospital.

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