What is the relationship between validated frailty scores and mortality for adults with COVID-19 in acute hospital care? A systematic review
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Abstract
Background and Aim
The aim of this systematic review was to quantify the association between frailty and COVID-19 in relation to mortality in hospitalised patients.
Methods
Medline, Embase, Web of Science and the grey literature were searched for papers from inception to 10 September 2020; the search was re-run in Medline up until the 9 December 2020. Screening, data extraction and quality grading were undertaken by two reviewers. Results were summarised using descriptive statistics, including a meta-analysis of overall mortality; the relationships between frailty and COVID-19 mortality were summarised narratively.
Results
A total of 2,286 papers were screened resulting in 26 being included in the review. Most studies were from Europe, half from the UK, and one from Brazil; the median sample size was 242.5, median age 73.1 and 43.5% were female. In total, 22/26 used the Clinical Frailty Scale; reported mortality ranged from 14 to 65%. Most, but not all studies showed an association between increasing frailty and a greater risk of dying. Two studies indicated a sub-additive relationship between frailty, COVID-19 and death, and two studies showed no association.
Conclusions
Whilst the majority of studies have shown a positive association between COVID-19-related death and increasing frailty, some studies suggested a more nuanced understanding of frailty and outcomes in COVID-19 is needed. Clinicians should exert caution in placing too much emphasis on the influence of frailty alone when discussing likely prognosis in older people with COVID-19 illness.
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SciScore for 10.1101/2020.11.13.20231365: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources Search strategies: Medline, Embase and Web of Science databases were searched with exploded MeSH headings and relevant keywords, restricted to English language. Medlinesuggested: (MEDLINE, RRID:SCR_002185)Embasesuggested: (EMBASE, RRID:SCR_001650)MeSHsuggested: (MeSH, RRID:SCR_004750)Databases were searched from inception to 10th September 2020, and references were managed using Endnote software. Endnotesuggested: (EndNote, RRID:SCR_014001)coronavirus)) Grey literature was … SciScore for 10.1101/2020.11.13.20231365: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources Search strategies: Medline, Embase and Web of Science databases were searched with exploded MeSH headings and relevant keywords, restricted to English language. Medlinesuggested: (MEDLINE, RRID:SCR_002185)Embasesuggested: (EMBASE, RRID:SCR_001650)MeSHsuggested: (MeSH, RRID:SCR_004750)Databases were searched from inception to 10th September 2020, and references were managed using Endnote software. Endnotesuggested: (EndNote, RRID:SCR_014001)coronavirus)) Grey literature was accessed by searching: Open Grey, medRxiv, bioRxiv. bioRxivsuggested: (bioRxiv, RRID:SCR_003933)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Implications for research: Larger, more robust studies examining the relationship between COVID-19 and frailty are needed to resolve the limitations of the existing papers. Future studies should preserve the integrity of frailty scales so that comparisons can be made across studies [43], and should take account of the apparent interaction between frailty and COVID-19 testing [20, 33]. Implications for clinical practice: Clinicians should exert caution in placing too much emphasis on the influence of frailty alone when discussing likely prognosis in older people with COVID-19 infection. No tool should be used in isolation to direct clinical care, though frailty scores can form part of a more holistic assessment to inform a shared decision making discussion. Frailty can be useful in identifying the risk of complications such as delirium - increasingly being recognised as a high risk scenario [21, 44, 45] – and further frailty or deconditioning [46]. Updated clinical guidance on frailty and COVID, as well as other resources are available here: https://www.criticalcarenice.org.uk/ and the British Geriatrics Society will maintain a live web-repository of COVID and frailty studies [HERE].
Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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