Evidence map›Paper›PMID 39592996›Full record

ArticleBMC public health2024

Incidence and risk factors of Post-intensive care syndrome (PICS) in surgical ICU survivors: a prospective Chinese cohort study.

Ka Yin Lui, Gen Luo, Shuhe Li, Xiaodong Song, Xiayan Qian, Ruoxu Dou, Liqiong Li, Xiangdong Guan, Changjie Cai

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
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  4. 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.

Ka Yin Lui *Department of Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, Zhongshan 2nd Road, Yuexiu District, Guangzhou, Guangdong Province, 510080, China.
Gen Luo *Department of Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, Zhongshan 2nd Road, Yuexiu District, Guangzhou, Guangdong Province, 510080, China.
Shuhe LiUniversity of Exeter Medical School, University of Exeter, Heavitree Road, Exeter, EX12LU, Devon, UK.
Xiaodong SongDepartment of Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, Zhongshan 2nd Road, Yuexiu District, Guangzhou, Guangdong Province, 510080, China.
Xiayan QianDepartment of Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, Zhongshan 2nd Road, Yuexiu District, Guangzhou, Guangdong Province, 510080, China.
Ruoxu DouDepartment of Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, Zhongshan 2nd Road, Yuexiu District, Guangzhou, Guangdong Province, 510080, China.
Liqiong LiDepartment of Nursing, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, Zhongshan 2nd Road, Yuexiu District, Guangzhou, Guangdong Province, 510080, China.
Xiangdong GuanDepartment of Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, Zhongshan 2nd Road, Yuexiu District, Guangzhou, Guangdong Province, 510080, China.
Changjie CaiDepartment of Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, Zhongshan 2nd Road, Yuexiu District, Guangzhou, Guangdong Province, 510080, China. caichjie@mail.sysu.edu.cn.

Funding

Guangdong Medical Science and Technology Research A2022208
6 · The paper itself

Abstract

backgroundPost-intensive care syndrome (PICS) is a term coined by the Society of Critical Care Medicine to describe the psychological, cognitive, and physical dysfunction that ICU survivors may experience. Although surgical patients represent a substantial proportion of ICU survivors, studies describing PICS in this specific population remain limited. This study aims to determine the incidence and independent risk factors associated with PICS among surgical ICU survivors in a Chinese cohort.

methodsThe study was a prospective cohort study of critically ill surgical patients who were discharged from the ICU at the First Affiliated Hospital of Sun Yat-sen University between August 2021 and June 2022. Demographic characteristics, disease-related information, and ICU treatment were collected, and enrolled participants were followed up within six months after ICU discharge. The Chinese version of the Medical Outcomes Study 36-item Short-Form Health Survey (SF-36) and the Short Memory Questionnaire (SMQ) were used to assess PICS. The physical component summary (PCS) and the mental component summary (MCS) were averaged from the corresponding four-dimension scores in the SF-36. PICS diagnosis was determined based on the presence of at least one of the following: physiological dysfunction (defined as PCS reductions greater than 10), psychological dysfunction (defined as MCS reductions greater than 10), or cognitive dysfunction (defined as SMQ reductions and scores less than 40 at six months). PICS diagnosis was based on the presence of at least one of the following: physiological, psychological, or cognitive dysfunction.

resultsA total of 565 patients were screened in this study, and 83 were enrolled after applying the inclusion and exclusion criteria. Overall, 65 surgical ICU survivors developed PICS within six months, with an incidence rate of 78.3%. The prevalences were 55.4% and 27.7% at the end of 3 and 6 months after ICU discharge, respectively. Univariate analysis showed that there was a correlation between the occurrence of PICS and the total bilirubin and creatinine levels at ICU admission, APACHE II score, ICU length of stay, and the presence of dialysis (P < 0.05). ICU length of stay was identified as an independent risk factor for the occurrence of PICS in surgical ICU survivors after adjusting for confounders.

conclusionThe overall PICS incidence in surgical ICU survivors was 78.3%, with prevalence gradually decreasing over time to 27.7% within 6 months. For surgical survivors requiring ICU care, the longer the ICU stay, the more likely to develop PICS. IMPLICATIONS FOR CLINICAL PRACTICE: The findings offer valuable insights into the incidence and risk factors of PICS in surgical ICU survivors, which can help healthcare professionals identify surgical cases at high risk of developing PICS and tailor the treatment effectively.

Indexed as

Intensive Care UnitsSurvivorsAdultAgedChinaCritical IllnessFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk FactorsCognitive impairmentPhysiological impairmentPost-intensive care syndrome (PICS)Psychological impairmentSurgical ICU survivors

Identifiers

PMID39592996
PMCPMC11590359

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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.