Evidence map›Paper›PMID 36193697›Full record

ArticleJournal of rehabilitation medicine2022

Post-Intensive Care Syndrome Prevalence Six Months after Critical Covid-19: Comparison between First and Second Waves.

Amandine Rapin, François Constant Boyer, Bruno Mourvillier, Guillaume Giordano Orsini, Claire Launois, Redha Taiar, Gaëtan Deslee, Antoine Goury, Sandy Carazo-Mendez

Open access · goldAbstract read
In one paragraph

Article in Journal of rehabilitation medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Article
  4. Observational
  5. Observational
  6. 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

9 authors at 3 institutions in 1 country.

Amandine RapinCentre Hospitalo-Universitaire de Reims (CHU), Hôpital Sébastopol, Département de Médecine Physique et de Réadaptation, Reims, France; Université de Reims Champagne-Ardenne, Faculté de Médecine, Vieillissement, Fragilité (VieFra) Reims, France. arapin@chu-reims.fr.
François Constant BoyerCentre Hospitalo-Universitaire de Reims (CHU), Hôpital Sébastopol, Département de Médecine Physique et de Réadaptation, Reims, France; Université de Reims Champagne-Ardenne, Faculté de Médecine, Vieillissement, Fragilité (VieFra) Reims, France.
Bruno MourvillierCentre Hospitalo-Universitaire de Reims (CHU), Hôpital Robert-Debré, Service de Réanimation médicale, Reims, France.
Guillaume Giordano OrsiniCentre Hospitalo-Universitaire de Reims (CHU), Hôpital Robert-Debré, Service de Réanimation médicale, Reims, France.
Claire LaunoisCentre Hospitalo-Universitaire de Reims (CHU), Département de Médecine Pulmonaire, Reims, France; Université de Reims Champagne- Ardenne, Institut National de la Santé et de la Recherche Médicale Pathologies Pulmonaires et Plasticité Cellulaire (P3Cell) Unité Médicale de Recherche-S1250, Structure Fédérative de Recherche (SFR) CAP-SANTE, Reims, France.
Redha TaiarUniversité de Reims Champagne-Ardenne, Laboratoire MATériaux et Ingénieurerie Mécanique (MATIM), Reims, France.
Gaëtan DesleeCentre Hospitalo-Universitaire de Reims (CHU), Département de Médecine Pulmonaire, Reims, France; Université de Reims Champagne- Ardenne, Institut National de la Santé et de la Recherche Médicale Pathologies Pulmonaires et Plasticité Cellulaire (P3Cell) Unité Médicale de Recherche-S1250, Structure Fédérative de Recherche (SFR) CAP-SANTE, Reims, France.
Antoine GouryCentre Hospitalo-Universitaire de Reims (CHU), Hôpital Robert-Debré, Service de Réanimation médicale, Reims, France.
Sandy Carazo-MendezCentre Hospitalo-Universitaire de Reims (CHU), Hôpital Sébastopol, Département de Médecine Physique et de Réadaptation, Reims, France.
Centre Hospitalier Universitaire de Reims · FRInserm · FRMATériaux et Ingénierie Mécanique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the impact of improved intensive care for COVID-19 patients on the prevalence of post-intensive care syndrome (PICS).

designAmbispective cohort study. PATIENTS: Post-intensive care unit COVID-19 patients from the first and second waves of COVID-19.

methodsPatients were evaluated at 6 months after infection. PICS was defined as the presence of a 1-min sit-to-stand test (1STS) score < 2.5th percentile or a Symbol Digit Modalities Test (SDMT) below the 2 standard deviation cut-off, or a Hospital Anxiety and Depression Scale score ≥ 11.

resultsA total of 60 patients were included (34 from wave 1 and 26 from wave 2). Intensive care unit management improved between waves, with shorter duration of orotracheal intubation (7 vs 23.5 days, p = 0.015) and intensive care unit stay (6 vs 9.5 days, p = 0.006) in wave 2. PICS was present in 51.5% of patients after wave 1 and 52% after wave 2 (p = 0.971). Female sex and diabetes were significantly associated with PICS by multivariate analysis.

conclusionApproximately half of post-intensive care unit COVID-19 patients have 1 or more impairments consistent with PICS at 6 months, with an impact on quality of life and participation. Improved intensive care unit management was not associated with a decrease in the prevalence of PICS. Identification of patients at risk, particularly women and diabetic patients, is essential. Further studies of underlying mechanisms and the need for rehabilitation are essential to reduce the risk of PICS.

Indexed as

COVID-19Cohort StudiesCritical CareCritical IllnessFemaleHumansIntensive Care UnitsMalePrevalenceQuality of Life

Identifiers

PMID36193697
PMCPMC9627539
OpenAlexW4301390912

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.