Evidence map›Paper›PMID 33434372›Full record

ArticleJournal of clinical nursing2021

Patients recovering from COVID-19 pneumonia in sub-acute care exhibit severe frailty: Role of the nurse assessment.

Elena Mandora, Laura Comini, Adriana Olivares, Michela Fracassi, Maria Grazia Cadei, Mara Paneroni, Lucia Marchina, Adrian Suruniuc, Alberto Luisa, Simonetta Scalvini and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical nursing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 36% 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.

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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Article
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

12 authors at 1 institution in 1 country.

Elena MandoraIstituti Clinici Scientifici Maugeri IRCCS, Cardiac Rehabilitation of the Institute of Lumezzane, Brescia, Italy.
Laura CominiIstituti Clinici Scientifici Maugeri IRCCS, Scientific Direction of the Institute of Lumezzane, Brescia, Italy.
Adriana OlivaresIstituti Clinici Scientifici Maugeri IRCCS, Scientific Direction of the Institute of Lumezzane, Brescia, Italy.
Michela FracassiIstituti Clinici Scientifici Maugeri IRCCS, Cardiac Rehabilitation of the Institute of Lumezzane, Brescia, Italy.
Maria Grazia CadeiIstituti Clinici Scientifici Maugeri IRCCS, Health Direction of the Institute of Lumezzane, Brescia, Italy.
Mara PaneroniIstituti Clinici Scientifici Maugeri IRCCS, Respiratory Rehabilitation of the Institute of Lumezzane, Brescia, Italy.
Lucia MarchinaIstituti Clinici Scientifici Maugeri IRCCS, Neurological Rehabilitation of the Institute of Lumezzane, Brescia, Italy.
Adrian SuruniucIstituti Clinici Scientifici Maugeri IRCCS, Neurological Rehabilitation of the Institute of Lumezzane, Brescia, Italy.
Alberto LuisaIstituti Clinici Scientifici Maugeri IRCCS, Neurological Rehabilitation of the Institute of Lumezzane, Brescia, Italy.
Simonetta ScalviniIstituti Clinici Scientifici Maugeri IRCCS, Cardiac Rehabilitation of the Institute of Lumezzane, Brescia, Italy.
Giacomo CoricaIstituti Clinici Scientifici Maugeri IRCCS, Health Direction of the Institute of Lumezzane, Brescia, Italy.
Michele VitaccaIstituti Clinici Scientifici Maugeri IRCCS, Respiratory Rehabilitation of the Institute of Lumezzane, Brescia, Italy.ORCID https://orcid.org/0000-0002-9389-7915
Istituti Clinici Scientifici Maugeri · IT

Funding

'Ricerca Corrente' funding scheme of the Italian Ministry of Health
6 · The paper itself

Abstract

AIMS AND

objectivesTo document the level of frailty in sub-acute COVID-19 patients recovering from acute respiratory failure and investigate the associations between frailty, assessed by the nurse using the Blaylock Risk Assessment Screening Score (BRASS), and clinical and functional patient characteristics during hospitalisation.

backgroundFrailty is a major problem in patients discharged from acute care, but no data are available on the frailty risk in survivors of COVID-19 infection.

designA descriptive cross-sectional study (STROBE checklist).

methodsAt admission to sub-acute care in 2020, 236 COVID-19 patients (median age 77 years - interquartile range 68-83) were administered BRASS and classified into 3 levels of frailty risk. The Short Physical Performance Battery (SPPB) was also administered to measure physical function and disability. Differences between BRASS levels and associations between BRASS index and clinical parameters were analysed.

resultsThe median BRASS index was 14.0 (interquartile range 9.0-20.0) denoting intermediate frailty (32.2%, 41.1%, 26.7% of patients exhibited low, intermediate and high frailty, respectively). Significant differences emerged between the BRASS frailty classes regards to sex, comorbidities, history of cognitive deficits, previous mechanical ventilation support and SPPB score. Patients with no comorbidities (14%) exhibited low frailty (BRASS: median 5.5, interquartile range 3.0-12.0). Age ≥65 years, presence of comorbidities, cognitive deficit and SPPB % predicted <50% were significant predictors of high frailty.

conclusionsMost COVID-19 survivors exhibit substantial frailty and require continuing care after discharge from acute care. RELEVANCE TO CLINICAL PRACTICE: The BRASS index is a valuable tool for nurses to identify those patients most at risk of frailty, who require a programme of rehabilitation and community reintegration.

Indexed as

COVID-19FrailtyNurse's RoleNursing AssessmentSubacute CareAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleRisk AssessmentSeverity of Illness Indexcoronavirusdisabilitynursingoutcomephysical functionrehabilitation

Identifiers

PMID33434372
PMCPMC8014482
OpenAlexW3120537840

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.