Evidence map›Paper›PMID 34605619›Full record

ArticleEuropean journal of physical and rehabilitation medicine2022

Functional assessment and rehabilitation protocol in acute patients affected by SARS-CoV-2 infection hospitalized in the Intensive Care Unit and in the Medical Care Unit.

Susanna Ricotti, Lucia Petrucci, Gabriella Carenzio, Ettore Carlisi, Giuseppe DI Natali, Annalisa DE Silvestri, Claudio Lisi, Covid Rehabilitation Group

Open access · greenAbstract read
In one paragraph

Article in European journal of physical and rehabilitation medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Susanna RicottiUnit of Rehabilitation, Department of Medical Sciences and Infectious Disease, IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, Italy - s.ricotti@smatteo.pv.it.
Lucia PetrucciUnit of Rehabilitation, Department of Medical Sciences and Infectious Disease, IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, Italy.
Gabriella CarenzioUnit of Rehabilitation, Department of Medical Sciences and Infectious Disease, IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, Italy.
Ettore CarlisiUnit of Rehabilitation, Department of Medical Sciences and Infectious Disease, IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, Italy.
Giuseppe DI NataliUnit of Rehabilitation, Department of Medical Sciences and Infectious Disease, IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, Italy.
Annalisa DE SilvestriUnit of Clinical Epidemiology and Biometrics, IRCCS Policlinico San Matteo Foundation, Pavia, Italy.
Claudio LisiUnit of Rehabilitation, Department of Medical Sciences and Infectious Disease, IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, Italy.
Covid Rehabilitation Group
University of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease (COVID-19) is characterized by different clinical pictures that may require prolonged hospitalization and produce disabilities challenging the recovery of previous independence.

aimThe aim is to evaluate the impact of an early assisted rehabilitation program on the functional status of an acutely hospitalized population affected by COVID-19.

designSingle-institution retrospective longitudinal study.

settingInpatient intensive care units (ICU) and medical care units (MCU). POPULATION: Acute COVID-19 patients.

methodsGeneral information was collected; age-adjusted Charlson Comorbidity Index was used for comorbidities. Duration of hospital stay, the length of stay in ICU and/or MCU, the length of the rehabilitative treatment, and the destination at the discharge were collected. Evaluation was performed when patients were clinically stable (T0), and at hospital discharge (T1); for subjects enrolled in ICU functional status was assessed at the time of transfer to the MCU. Muscle strength of the four limbs was measured with the Medical Research Council (MRC) sum-score. Functional status was assessed using the 3-item Barthel Index (BI-3) and the General Physical Mobility Score (GPMS). Early assisted-tailored rehabilitation protocol was applied in ICU and in MCU: the aims were the maintenance (or recovery) of the range of motion and of the strength and the recovery of sitting/standing position and gait.

resultsWe evaluated 116 patients (mean age 65, SD 11) (65% male), 68 in ICU (mean age 60, SD 10), 48 in MCU (mean age 73, SD 9). At discharge, BI-3 and GPMS significantly improved in both ICU (P<0.001) and MCU (P<0.001) subgroups of patients. MRC sum-score significantly improved in ICU patients (P<0.001). Patients hospitalized in ICU had a significantly longer hospital stay. At discharge, patients admitted to the ICU reach a functional state that is close to that of patients admitted to the MCU.

conclusionsThe results suggest that an early assisted rehabilitation program may be helpful in improving the short-term functional status of an acutely hospitalized population affected by COVID-19, with discharge at home of 48% CLINICAL REHABILITATION IMPACT: this study focuses on a functional assessment method to be used to identify the rehabilitation needs and verify the results of an early rehabilitation protocol applied to the acute COVID-19 patient admitted to ICU and MCU.

Indexed as

COVID-19AgedFemaleHospitalizationHumansIntensive Care UnitsLongitudinal StudiesMaleMiddle AgedProspective StudiesRetrospective StudiesSARS-CoV-2

Identifiers

PMID34605619
PMCPMC9980591
OpenAlexW3204335510

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Registered trials

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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.