Evidence map›Paper›PMID 38184625›Full record

Observational studyEuropean journal of medical research2024

Association of body temperature and mortality in critically ill patients: an observational study using two large databases.

Daniel J Tan, Jiayang Chen, Yirui Zhou, Jaryl Shen Quan Ong, Richmond Jing Xuan Sin, Thach V Bui, Anokhi Amit Mehta, Mengling Feng, Kay Choong See

Abstract readObservational Study
In one paragraph

Observational study in European journal of medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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

9 authors.

Daniel J TanInstitute of Data Science, National University of Singapore, Singapore, Singapore.
Jiayang ChenNational University Hospital, Singapore, Singapore.
Yirui ZhouSchool of Computing, National University of Singapore, Singapore, Singapore.
Jaryl Shen Quan OngSchool of Computing, National University of Singapore, Singapore, Singapore.
Richmond Jing Xuan SinFaculty of Science, National University of Singapore, Singapore, Singapore.
Thach V BuiFaculty of Engineering, National University of Singapore, Singapore, Singapore.
Anokhi Amit MehtaIndian Institute of Technology Bombay, Bombay, India.
Mengling FengSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore. ephfm@nus.edu.sg.
Kay Choong SeeDivision of Respiratory and Critical Care Medicine, Department of Medicine, National University Hospital, Singapore, Singapore.

Funding

A*STAR, CISCO Systems (USA) Pte. Ltd and National University of Singapore under its Cisco-NUS Accelerated Digital Economy Corporate Laboratory I21001E0002
6 · The paper itself

Abstract

backgroundBody temperature (BT) is routinely measured and can be controlled in critical care settings. BT can impact patient outcome, but the relationship between BT and mortality has not been well-established.

methodsA retrospective cohort study was conducted based on the MIMIC-IV (N = 43,537) and eICU (N = 75,184) datasets. The primary outcome and exposure variables were hospital mortality and first 48-h median BT, respectively. Generalized additive models were used to model the associations between exposures and outcomes, while adjusting for patient age, sex, APS-III, SOFA, and Charlson comorbidity scores, temperature gap, as well as ventilation, vasopressor, steroids, and dialysis usage. We conducted subgroup analysis according to ICU setting, diagnoses, and demographics.

resultsOptimal BT was 37 °C for the general ICU and subgroup populations. A 10% increase in the proportion of time that BT was within the 36-38 °C range was associated with reduced hospital mortality risk in both MIMIC-IV (OR 0.91; 95% CI 0.90-0.93) and eICU (OR 0.86; 95% CI 0.85-0.87). On the other hand, a 10% increase in the proportion of time when BT < 36 °C was associated with increased mortality risk in both MIMIC-IV (OR 1.08; 95% CI 1.06-1.10) and eICU (OR 1.18; 95% CI 1.16-1.19). Similarly, a 10% increase in the proportion of time when BT > 38 °C was associated with increased mortality risk in both MIMIC-IV (OR 1.09; 95% CI 1.07-1.12) and eICU (OR 1.09; 95% CI 1.08-1.11). All patient subgroups tested consistently showed an optimal temperature within the 36-38 °C range.

conclusionsA BT of 37 °C is associated with the lowest mortality risk among ICU patients. Further studies to explore the causal relationship between the optimal BT and mortality should be conducted and may help with establishing guidelines for active BT management in critical care settings.

Indexed as

Body TemperatureCritical IllnessHospital MortalityHumansRenal DialysisRetrospective StudiesBody temperatureCritical careElectronic health recordsFeverHypothermiaTherapeutic hypothermia

Identifiers

PMID38184625
PMCPMC10770998

What OpenQuestion holds

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LicenceCC BY
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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.