Evidence map›Paper›PMID 36549026›Full record

ArticleRespiratory medicine2023

Health trajectories in older patients hospitalized for COVID-19: Results from the GeroCovid multicenter study.

Caterina Trevisan, Francesco Tonarelli, Alberto Zucchelli, Ilaria Parrotta, Riccardo Calvani, Alba Malara, Fabio Monzani, Pietro Gareri, Gianluca Zia, Raffaele Antonelli Incalzi and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Respiratory medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Caterina TrevisanDepartment of Medical Science, University of Ferrara, Ferrara, Italy; Geriatrics Division, Department of Medicine (DIMED), University of Padua, Italy.
Francesco TonarelliGeriatric Intensive Care Unit, Department of Experimental and Clinical Medicine, University of Florence, Italy.
Alberto ZucchelliDepartment of Information Engineering, University of Brescia, Brescia, Italy.
Ilaria ParrottaMovement Control and Neuroplasticity Research Group, Tervuursevest 101, 3001, Leuven, Belgium. Electronic address: ilaria.parrotta@gmail.com.
Riccardo CalvaniFondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Alba MalaraPresidente Fondazione ANASTE-HUMANITAS, Responsabile Scientifico European Confederation of Care-Home Organisations (E.C.H.O.), Associazione Nazionale Strutture Territoriali (ANASTE) Calabria A full list of the working group members is provided in Supplementary material - Appendix 1, Italy.
Fabio MonzaniScuola di Specializzazione in Geriatria e Gerontologia Università di Pisa UOC Geriatria, Universitaria Azienda Ospedaliero-Universitaria Pisana, Italy.
Pietro GareriGeriatra ASP Catanzaro CDCD Catanzaro Lido, Italy.
Gianluca ZiaBluecomapanion, LTD, Italy.
Raffaele Antonelli IncalziUnit of Geriatrics, Department of Medicine, Campus Bio-Medico University and Teaching Hospital, Rome, Italy.
GeroCovid Acute Wards Working Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 has disproportionately affected older adults. Yet, healthcare trajectories experienced by older persons hospitalized for COVID-19 have not been investigated. This study aimed at estimating the probabilities of transitions between severity states in older adults admitted in COVID-19 acute wards and at identifying the factors associated with such dynamics.

methodsCOVID-19 patients aged ≥60 years hospitalized between March and December 2020 were involved in the multicentre GeroCovid project-acute wards substudy. Sociodemographic and health data were obtained from medical records. Clinical states during hospitalization were categorized on a seven-category scale, ranging from hospital discharge to death. Based on the transitions between these states, first, we defined patients' clinical course as positive (only improvements), negative (only worsening), or fluctuating (both improvements and worsening). Second, we focused on the single transitions between clinical states and estimated their probability (through multistage Markov modeling) and associated factors (with proportional intensity models).

resultsOf the 1024 included patients (mean age 78.1 years, 51.1% women), 637 (62.2%) had a positive, 66 (6.4%) had a fluctuating, and 321 (31.3%) had a negative clinical course. Patients with a fluctuating clinical course were younger, had better mobility and cognitive levels, fewer diseases, but a higher prevalence of cardiovascular disease and obesity. Considering the single transitions, the probability that older COVID-19 patients experienced clinical changes was higher within a 10-day timeframe, especially for milder clinical states. Older age, male sex, lower mobility level, multimorbidity, and hospitalization during the COVID-19 first wave (compared with the second one) were associated with an increased probability of progressing towards worse clinical states or with a lower recovery.

conclusionCOVID-19 in older inpatients has a complex and dynamic clinical course. Identifying individuals more likely to experience a fluctuating clinical course and sudden worsening may help organize healthcare resources and clinical management across settings at different care intensity levels.

Indexed as

COVID-19AgedAged, 80 and overDisease ProgressionFemaleHospitalizationHospitalsHumansMalePatient DischargeRetrospective StudiesAgedCOVID-19Health transitionsTrajectories

Identifiers

PMID36549026
PMCPMC9733961

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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.