Evidence map›Paper›PMID 41139729›Full record

ArticleAnnals of intensive care2025

Distinct diurnal temperature rhythm patterns in critical illness myopathy: secondary analysis of two prospective trials.

D Mewes, S Weber-Carstens, K Rubarth, S D Boie, C Spies, A Kramer, J Fielitz, T Wollersheim, B Ananthasubramaniam, F Braune and 4 more

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In one paragraph

Article in Annals of intensive care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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

14 authors.

D MewesDepartment of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
S Weber-CarstensDepartment of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
K RubarthInstitute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
S D BoieInstitute of Medical Informatics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
C SpiesDepartment of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
A KramerLaboratory of Chronobiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
J FielitzDepartment of Internal Medicine B Cardiology, University Medicine Greifswald, Fleischmannstr. 41, 17475, Greifswald, Germany.
T WollersheimDepartment of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
B AnanthasubramaniamInstitute for Theoretical Biology, Humboldt-Universität zu Berlin, Philippstr.13, 10115, Berlin, Germany.
F BrauneDepartment of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
L HanckeDepartment of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
L SpiesInstitute of Medical Informatics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
F BalzerInstitute of Medical Informatics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
L J EngelhardtDepartment of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany. Lilian-jo.engelhardt@charite.de.ORCID http://orcid.org/0000-0002-2312-1142

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCritical illness myopathy (CIM) increases mortality and causes long-term disabilities. CIM is characterized by reduced muscle excitability, muscle atrophy, weakness, and impaired glucose metabolism. Functional circadian rhythms are important for skeletal muscle homeostasis. Circadian rhythms are often disrupted during critical illness in the Intensive Care Unit (ICU). This analysis investigates whether diurnal temperature rhythms differ in critically ill CIM compared to no-CIM patients.

methodsThis is a secondary analysis of two prospective trials including critically ill patients with CIM (n = 32) or no-CIM (n = 30) based on electrophysiological tests. Diurnal body temperature rhythms were compared between CIM and no-CIM groups in reference to n = 16 participants included in a bed rest study. Cosinor analysis was performed to determine the rhythm parameters and classify into rhythm classes. Aggregated and longitudinal data were compared between groups using non-parametric tests. Rhythm parameters were correlated with muscle atrophy, weakness and insulin sensitivity.

resultsCIM and no-CIM patients had severe multiorgan failure (median SOFA score 12 in both groups, p = 0.39). The temperature rhythm nadir timepoint was shifted in CIM patients (10:43 [09:21, 12:22]) and no-CIM (11:12 [09:43, 13:30]) compared to the healthy bed rest group (5:03 [3:22, 6:36]) p < 0.001. CIM patients showed lower temperature rhythm mesors than no-CIM patients (p = 0.041). The temperature rhythm amplitude was lower in both CIM and no-CIM patients compared to the healthy bed rest group (CIM: 0.3 °C [0.2, 0.4]; no-CIM: 0.2 °C [0.2, 0.3]; healthy bed rest: 0.5 °C [0.2, 0.6]; p < 0.01). Compared to no-CIM patients, CIM patients had higher temperature rhythm amplitudes (p = 0.021) and showed a less pronounced reduction in temperature rhythm amplitudes during ICU stay (p = 0.017). A higher temperature rhythm amplitude correlated negatively with M. vastus lateralis myocyte cross-sectional area.

conclusionsHeterogeneous phase shifts of diurnal temperature rhythms in CIM and no-CIM groups compared to healthy bed rest volunteers may indicate ICU-related circadian disruption. Suppression of temperature rhythm amplitude during ICU stay could represent an adaptive response to this disruption. Blunted amplitude suppression observed in CIM compared to no-CIM patients might reflect reduced adaptation, potentially contributing to muscle catabolism. This hypothesis-generating analysis underlines the need for mechanistic studies exploring circadian regulation in skeletal muscle during critical illness.

Indexed as

Body temperatureCircadian rhythm disruptionCircadian rhythmsCritical illnessCritical illness myopathyDiurnal rhythmsMuscle weaknessSkeletal muscle atrophyTemperature rhythm

Identifiers

PMID41139729
PMCPMC12554853

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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.