Oldest-old Covid-19 patients: Lessons learnt in a geriatric intermediate care unit

Cuvelier, Clémence; Fassier, Thomas; Dalex, Meddy; Lagrue, Simon; Trombert, Véronique; Herrmann, Françoís; Zekry, Dina; Roux, Xavier

doi:10.1016/j.jcrc.2021.02.003

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…for in-hospital mortality and duration of respiratory support Cecchini et al [ 39 ] Italy 01.03.2020–30.04.2020 R/C CFS R > 65y PCR/CXR 122 87.1 6 55 (45.1) Frailty diff. for in-hospital mort Chinnadurai [ 40 ] UK 13.03.2020–30.04.2020 R/C CFS P n/r PCR 215 86 74 60–82 133 (61.9) In-hospital mortality Covino [ 41 ] Italy 01.0.4.2020–30.03.2021 P/C CFS P > 80y PCR 729 287 85 82–89 345 (47.3) In-hospital mortality Cuvelier [ 42 ] Switzerland 13.03.2020–11.05.2020 R/C CFS R > 80y NR 20 10 87,1 82.8–90.6 14 (70) Frailty diff. for in-hospital mort Davis [ 43 ] …”

Section: Resultsmentioning

confidence: 99%

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Clinical Frailty Scale (CFS) indicated frailty is associated with increased in-hospital and 30-day mortality in COVID-19 patients: a systematic review and meta-analysis

Rottler

Ocskay

Sipos

et al. 2022

Ann. Intensive Care

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Background The concept of frailty provides an age-independent, easy-to-use tool for risk stratification. We aimed to summarize the evidence on the efficacy of frailty tools in risk assessment in COVID-19 patients. Methods The protocol was registered (CRD42021241544). Studies reporting on frailty in COVID-19 patients were eligible. The main outcomes were mortality, length of hospital stay (LOH) and intensive care unit (ICU) admission in frail and non-frail COVID-19 patients. Frailty was also compared in survivors and non-survivors. Five databases were searched up to 24th September 2021. The QUIPS tool was used for the risk of bias assessment. Odds ratios (OR) and weighted mean differences (WMD) were calculated with 95% confidence intervals (CI) using a random effect model. Heterogeneity was assessed using the I2 and χ2 tests. Results From 3640 records identified, 54 were included in the qualitative and 42 in the quantitative synthesis. Clinical Frailty Scale (CFS) was used in 46 studies, the Hospital Frailty Risk Score (HFRS) by 4, the Multidimensional Prognostic Index (MPI) by 3 and three studies used other scores. We found that patients with frailty (CFS 4–9 or HFRS ≥ 5) have a higher risk of mortality (CFS: OR: 3.12; CI 2.56–3.81; HFRS OR: 1.98; CI 1.89–2.07). Patients with frailty (CFS 4–9) were less likely to be admitted to ICU (OR 0.28, CI 0.12–0.64). Quantitative synthesis for LOH was not feasible. Most studies carried a high risk of bias. Conclusions As determined by CFS, frailty is strongly associated with mortality; hence, frailty-based patient management should be included in international COVID-19 treatment guidelines. Future studies investigating the role of frailty assessment on deciding ICU admission are strongly warranted.

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Section: Resultsmentioning

confidence: 99%

“…IQR was not appropriately stated, thus could not be included in the analysis. Cuvelier et al included 20 severe COVID-19 patients admitted to a geriatric intermediate care unit, who were not eligible for any higher level treatment [ 42 ]. Non-survivors had higher median CFS (6.0, IQR: 5.5–6.5) compared to survivors (4.5, IQR: 3.5–6.0).…”

Section: Resultsmentioning

confidence: 99%