Evidence map›Paper›PMID 35257497›Full record

ArticleJournal of cachexia, sarcopenia and muscle2022

Clinical frailty, and not features of acute infection, is associated with late mortality in COVID-19: a retrospective cohort study.

Nikolaos I Vlachogiannis, Kenneth F Baker, Georgios Georgiopoulos, Charalampos Lazaridis, Ina Schim van der Loeff, Aidan T Hanrath, Kateryna Sopova, Simon Tual-Chalot, Aikaterini Gatsiou, Ioakim Spyridopoulos and 3 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06430073 (Effect of Infections and Global DNA Methylation on Frailty Trajectories in Hospitalized Older Patients), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06430073 unknown statusnot on this mapstarted 2024, after this paper: background citation

Effect of Infections and Global DNA Methylation on Frailty Trajectories in Hospitalized Older Patients: a Multicenter Observational Study (INFRAGEN)

TypeobservationalSponsorUniversity Hospital of FerraraRan2024 to 2026Enrolled340ConditionsAging, Frailty, Telomere Shortening, Inflammation
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Long COVID and hypertension-related disorders: a report from the Japanese Society of Hypertension Project Team on COVID-19.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. [Coronavirus disease 2019 and frailty].Zeitschrift fur Gerontologie und Geriatrie · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 4 countries.

Nikolaos I VlachogiannisBiosciences Institute, Vascular Biology and Medicine Theme, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK.ORCID 0000-0001-7878-8078
Kenneth F BakerRVI and Freeman Hospitals, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK.
Georgios GeorgiopoulosBiosciences Institute, Vascular Biology and Medicine Theme, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK.
Charalampos LazaridisRVI and Freeman Hospitals, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK.
Ina Schim van der LoeffTranslational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK.
Aidan T HanrathTranslational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK.
Kateryna SopovaRVI and Freeman Hospitals, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK.
Simon Tual-ChalotBiosciences Institute, Vascular Biology and Medicine Theme, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK.
Aikaterini GatsiouBiosciences Institute, Vascular Biology and Medicine Theme, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK.
Ioakim SpyridopoulosRVI and Freeman Hospitals, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK.
Kimon StamatelopoulosBiosciences Institute, Vascular Biology and Medicine Theme, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK.
Christopher J A DuncanRVI and Freeman Hospitals, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK.
Konstantinos StellosBiosciences Institute, Vascular Biology and Medicine Theme, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK.
Newcastle upon Tyne Hospitals NHS Foundation Trust · GBNewcastle University · GBNational and Kapodistrian University of Athens · GRHeidelberg University · DE

Funding

European Research Council 759248Wellcome Trust 211153/Z/18/Z
6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) is associated with excess mortality after hospital discharge. Identification of patients at increased risk of death following hospital discharge is needed to guide clinical monitoring and early intervention. Herein, we aimed to identify predictors of early vs. late mortality in COVID-19 patients.

methodsA total of 471 patients with polymerase chain reaction-confirmed COVID-19 were followed up for 9 months [median (inter-quartile range) of follow-up time: 271 (14) days] after hospital admission. COVID-19-related signs and symptoms, laboratory features, co-morbidities, Coronavirus Clinical Characterisation Consortium (4C) mortality and Clinical Frailty Scale (CFS) scores were analysed by logistic regression for association with early (28 day) vs. late mortality. Receiver operating characteristic (ROC) analysis was used to determine the discriminative value of 4C and CFS scores for early vs. late mortality.

resultsA total of 120 patients died within 28 days from hospital admission. Of the remaining 351 patients, 41 died within the next 8 months. Respiratory failure, systemic inflammation, and renal impairment were associated with early mortality, while active cancer and dementia were associated with late mortality, after adjustment for age and sex. 4C mortality score and CFS were associated with both early [odds ratio (OR) (95% confidence interval-CI): 4C: 1.34 (1.25-1.45); CFS: 1.49 (1.33-1.66)] and late [OR (95% CI): 4C: 1.23 (1.12-1.36); CFS: 2.04 (1.62-2.56)] mortality. After adjustment for CFS, the association between 4C and late mortality was lost. By ROC analysis, 4C mortality score was superior to CFS for 28 day mortality [area under the curve (AUC) (95% CI): 0.779 (0.732-0.825) vs. 0.723 (0.673-0.773), respectively; P = 0.039]. In contrast, CFS had higher predictive value for late mortality compared with 4C mortality score [AUC (95% CI): 0.830 (0.776-0.883) vs. 0.724 (0.650-0.798), respectively; P = 0.007].

conclusionsIn our cohort, late mortality in COVID-19 patients is more strongly associated with premorbid clinical frailty than with severity of the acute infection phase.

Indexed as

COVID-19FrailtyCohort StudiesHumansRetrospective Studies4C mortality scoreCOVID-19FrailtyLate mortalityPrognosis

Identifiers

PMID35257497
PMCPMC9088314
OpenAlexW4221011382

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.