Evidence map›Paper›PMID 38688799›Full record

SynthesisBritish journal of anaesthesia2024

Risk factors, biomarkers, and mechanisms for persistent inflammation, immunosuppression, and catabolism syndrome (PICS): a systematic review and meta-analysis.

Karan R Chadda, Ellen E Blakey, Thomas W Davies, Zudin Puthucheary

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in British journal of anaesthesia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

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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

4 authors.

Karan R ChaddaWilliam Harvey Research Institute, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, UK; Homerton College, University of Cambridge, Cambridge, UK; Birmingham Acute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK. Electronic address: krchadda95@gmail.com.
Ellen E BlakeyInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Thomas W DaviesWilliam Harvey Research Institute, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, UK; Adult Critical Care Unit, Royal London Hospital, London, UK.
Zudin PuthuchearyWilliam Harvey Research Institute, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, UK; Adult Critical Care Unit, Royal London Hospital, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPersistent inflammation, immunosuppression, and catabolism syndrome (PICS) has been proposed as an endotype of chronic critical illness (CCI). The aim of this systematic review is to synthesise the available evidence of risk factors, biomarkers, and biological mechanisms underlying PICS.

methodsMEDLINE, CENTRAL, and EMBASE were searched on June 2, 2023. Our population of interest was adult intensive care unit survivors. The exposure group was patients with PICS and the comparator group was patients with no PICS, CCI, or rapid recovery. Mean differences were pooled for each biomarker using a random effects DerSimonian-Laird method. Risk of bias assessment was done using the Newcastle-Ottawa Scale.

resultsSix papers were included. Five were single-centre retrospective cohort studies, and one was a prospective cohort study, with sample sizes ranging from 22 to 391 patients. Two studies showed an increased incidence of PICS with age, and two studies showed an association between PICS and Charlson Comorbidity Index scores. PICS was associated with requiring mechanical ventilation in four studies. Meta-analysis showed a 34.4 mg L

conclusionsWhile older patients and those with co-morbidities could be at greater risk for PICS, acquired risk factors, such as injury severity, are potentially more predictive of PICS than intrinsic patient characteristics. There are many potential biomarkers for PICS, but limited validation studies have been conducted. Persistent myeloid-derived suppressor cell expansion, the continual release of danger-associated molecular patterns and pathogen-associated molecular patterns propagating inflammation, and bioenergetic failure are all mechanisms underlying PICS that could offer potential for novel biomarkers and therapeutic interventions. CLINICAL

trial registrationInternational Prospective Register of Systematic Reviews (PROSPERO; CRD42023427749).

Indexed as

BiomarkersCritical IllnessInflammationHumansImmune ToleranceRisk FactorsSyndromeBiomarkerscatabolismchronic critical illnessimmunosuppressionintensive carepersistent inflammationPICSpost-intensive care syndrome

Identifiers

PMID38688799
PMCPMC11347813

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.