Evidence map›Paper›PMID 33690614›Full record

ArticlePloS one2021

Post-intensive care syndrome as a predictor of mortality in patients with critical illness: A cohort study.

Naoya Yanagi, Kentaro Kamiya, Nobuaki Hamazaki, Ryota Matsuzawa, Kohei Nozaki, Takafumi Ichikawa, Thomas S Valley, Takeshi Nakamura, Masashi Yamashita, Emi Maekawa and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 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

15 authors at 5 institutions in 2 countries.

Naoya YanagiDepartment of Rehabilitation Sciences, Graduate School of Medical Sciences, Kitasato University, Sagamihara, Japan.
Kentaro KamiyaDepartment of Rehabilitation Sciences, Graduate School of Medical Sciences, Kitasato University, Sagamihara, Japan.ORCID 0000-0002-7706-9511
Nobuaki HamazakiDepartment of Rehabilitation, Kitasato University Hospital, Sagamihara, Japan.
Ryota MatsuzawaDepartment of Physical Therapy, School of Rehabilitation, Hyogo University of Health Sciences, Kobe, Japan.
Kohei NozakiDepartment of Rehabilitation, Kitasato University Hospital, Sagamihara, Japan.
Takafumi IchikawaDepartment of Rehabilitation, Kitasato University Hospital, Sagamihara, Japan.
Thomas S ValleyDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States of America.
Takeshi NakamuraDepartment of Rehabilitation Sciences, Graduate School of Medical Sciences, Kitasato University, Sagamihara, Japan.
Masashi YamashitaDepartment of Rehabilitation Sciences, Graduate School of Medical Sciences, Kitasato University, Sagamihara, Japan.
Emi MaekawaDepartment of Cardiovascular Medicine, School of Medicine, Kitasato University, Sagamihara, Japan.
Tomotaka KoikeDepartment of Intensive Care Center, Kitasato University Hospital, Sagamihara, Japan.
Minako Yamaoka-TojoDepartment of Rehabilitation, School of Allied Health Sciences, Kitasato University, Sagamihara, Japan.
Masayasu AraiDivision of Intensive Care Medicine, Department of Research and Development Center for New Medical Frontiers, School of Medicine, Kitasato University, Sagamihara, Japan.
Atsuhiko MatsunagaDepartment of Rehabilitation Sciences, Graduate School of Medical Sciences, Kitasato University, Sagamihara, Japan.
Junya AkoDepartment of Cardiovascular Medicine, School of Medicine, Kitasato University, Sagamihara, Japan.
Kitasato University · JPKitasato University Hospital · JPHyogo University of Health Sciences · JPJuntendo University Hospital · JPUniversity of Michigan · US

Funding

Preventing avoidable deaths from pneumonia by improving use of intensive careK23HL140165 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VALLEY, THOMAS SEBASTIAN · 2018 to 2022
$915k
NHLBI NIH HHS K23 HL140165
6 · The paper itself

Abstract

introductionThe post-intensive care syndrome (PICS) encompasses multiple, diverse conditions, such as physical disability, cognitive impairment, and depression. We sought to evaluate whether conditions within PICS have similar associations with mortality among survivors of critical illness. MATERIALS AND

methodsIn this retrospective cohort study, we identified 248 critically ill patients with intensive care unit stay ≥72 hours, who underwent PICS evaluation. Patients with disability in activities of daily living, cognitive impairment, or depression before hospitalization were excluded. We defined PICS using established measures of physical disability (usual gait speed), cognitive impairment (Mini-Cog test), and depression (Patient Health Questionnaire-2) at hospital discharge. The endpoint was all-cause mortality.

resultsPatients had a median age of 69 years and Acute Physiology and Chronic Health Evaluation (APACHE) II score of 16. One hundred thirty-two patients were classified as having PICS, and 19 patients died. 81/248 (34%) patients had physical disability, 42/248 (19%) had cognitive impairment, and 44/248 (23%) had depression. After adjusting for covariates on multivariable Cox regression analyses, PICS was significantly associated with all-cause mortality (hazard ratio [HR] 3.78, 95% confidence interval [CI] 1.02 - 13.95; P = 0.046). However, the association between PICS and all-cause mortality was related to physical disability and cognitive impairment (P = 0.001 and P = 0.027, respectively), while depression was not (P = 0.623).

conclusionWhile PICS as a syndrome has been useful in gaining attention to the sequelae of critical illness, its relationship with long-term mortality is driven largely by physical disability and cognitive impairment and not depression.

Indexed as

AgedCause of DeathCognitive DysfunctionCohort StudiesCritical IllnessDepressionDisability EvaluationFemaleHumansIntensive Care UnitsKaplan-Meier EstimateLength of StayLogistic ModelsMaleMiddle AgedPatient Discharge

Identifiers

PMID33690614
PMCPMC7946187
OpenAlexW3134208727

What OpenQuestion holds

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LicenceCC BY
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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.