Evidence map›Paper›PMID 38980434›Full record

ArticleAnnals of intensive care2024

Post-intensive care syndrome screening: a French multicentre survey.

Maïté Agbakou, Margot Combet, Maëlle Martin, Gauthier Blonz, Luc Desmedt, Amélie Seguin, Jérémie Lemarié, Olivier Zambon, Jean Reignier, Jean-Baptiste Lascarrou and 2 more

Abstract read
In one paragraph

Article in Annals of intensive care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
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.

Maïté AgbakouIntensive Care Unit, Nantes University Hospital, Nantes University, 30 Bd. Jean Monnet, Nantes, Cedex 1 44093, France. maite.agbakou@chu-nantes.fr.ORCID http://orcid.org/0009-0000-5098-291X
Margot CombetIntensive Care Unit, Kremlin-Bicêtre University Hospital, Assistance Publique- Hôpitaux de Paris, Le Kremlin-Bicêtre, France.
Maëlle MartinIntensive Care Unit, Nantes University Hospital, Nantes University, 30 Bd. Jean Monnet, Nantes, Cedex 1 44093, France.
Gauthier BlonzIntensive Care Unit, Nantes University Hospital, Nantes University, 30 Bd. Jean Monnet, Nantes, Cedex 1 44093, France.
Luc DesmedtIntensive Care Unit, Nantes University Hospital, Nantes University, 30 Bd. Jean Monnet, Nantes, Cedex 1 44093, France.
Amélie SeguinIntensive Care Unit, Nantes University Hospital, Nantes University, 30 Bd. Jean Monnet, Nantes, Cedex 1 44093, France.
Jérémie LemariéIntensive Care Unit, Nantes University Hospital, Nantes University, 30 Bd. Jean Monnet, Nantes, Cedex 1 44093, France.
Olivier ZambonIntensive Care Unit, Nantes University Hospital, Nantes University, 30 Bd. Jean Monnet, Nantes, Cedex 1 44093, France.
Jean ReignierIntensive Care Unit, Nantes University Hospital, Movement - Interactions - Performance Research Unit (MIP, (MIP, UR 4334), Nantes, France.
Jean-Baptiste LascarrouIntensive Care Unit, Nantes University Hospital, Nantes University, 30 Bd. Jean Monnet, Nantes, Cedex 1 44093, France.
Stephan EhrmannIntensive Care Unit, Tours University Hospital, Tours, France.
Emmanuel CanetIntensive Care Unit, Nantes University Hospital, Nantes University, 30 Bd. Jean Monnet, Nantes, Cedex 1 44093, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-intensive care syndrome (PICS), defined as physical, cognitive, and mental-health symptoms persisting long after intensive-care-unit (ICU) discharge, is increasingly recognised as a healthcare priority. Data on screening for PICS are sparse. Our objective here was to describe post-ICU screening in France, with special attention to visit availability and evaluations done during visits.

methodsWe conducted an online multicentre survey by emailing an anonymous 43-item questionnaire to French ICUs. For each ICU, a single survey was sent to either the head or the intensivist in charge of follow-up visits.

resultsOf 252 ICUs invited to participate, 161 (63.9%) returned the completed survey. Among them, 46 (28.6%) offered follow-up visits. Usually, a single visit led by an intensivist was scheduled 3 to 6 months after ICU discharge. Approximately 50 patients/year/ICU, that is, about 5% of admitted patients, attended post-ICU visits. The main criteria used to select patients for follow-up were ICU stay and/or invasive mechanical ventilation duration longer than 48 h, cardiac arrest, septic shock, and acute respiratory distress syndrome. Among ICUs offering visits, 80% used validated instruments to screen for PICS. Of the 115 ICUs not offering follow-up, 50 (43.5%) indicated an intention to start follow-up within the next year. The main barriers to offering follow-up were lack of available staff and equipment or not viewing PICS screening as a priority. Half the ICUs offering visits worked with an established network of post-ICU care professionals, and another 17% were setting up such a network. Obstacles to network creation were lack of interest among healthcare professionals and lack of specific training in PICS.

conclusionOnly a small minority of ICU survivors received follow-up designed to detect PICS. Less than a third of ICUs offered follow-up visits but nearly another third planned to set up such visits within the next year. Recommendations issued by French health authorities in 2023 can be expected to improve the availability and standardisation of post-ICU follow-up.

Indexed as

DisabilityFranceIntensive care unitPost-intensive care syndromeScreeningSurvey

Identifiers

PMID38980434
PMCPMC11233491

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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.