Evidence map›Paper›PMID 31486940›Full record

ArticleIntensive care medicine experimental2019

Determining rhythmicity and determinism of temperature curves in septic and non-septic critically ill patients through chronobiological and recurrence quantification analysis: a pilot study.

Vasilios E Papaioannou, Eleni N Sertaridou, Ioanna G Chouvarda, George C Kolios, Ioannis N Pneumatikos

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Article in Intensive care medicine experimental, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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3 · Its place in the literature

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7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Vasilios E PapaioannouIntensive Care Unit, Alexandroupolis University Hospital, Democritus University of Thrace, Dragana, 68100, Alexandroupolis, Greece.
Eleni N SertaridouIntensive Care Unit, Alexandroupolis University Hospital, Democritus University of Thrace, Dragana, 68100, Alexandroupolis, Greece. elenisertaridou@yahoo.com.ORCID http://orcid.org/0000-0002-1540-8119
Ioanna G ChouvardaLaboratory of Computing, Medical Informatics and Biomedical Imaging Technologies, Faculty of Medicine, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
George C KoliosLaboratory of Pharmacology, Faculty of Medicine, Democritus University of Thrace, Dragana, 68100, Alexandroupolis, Greece.
Ioannis N PneumatikosIntensive Care Unit, Alexandroupolis University Hospital, Democritus University of Thrace, Dragana, 68100, Alexandroupolis, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA few studies have demonstrated that critically ill patients exhibit circadian deregulation and reduced complexity of different time series, such as temperature.

resultsIn this prospective study, we enrolled 21 patients divided into three groups: group A (N = 10) included subjects who had septic shock at the time of ICU entry, group B (N = 6) included patients who developed septic shock during ICU stay, and group C consisted of 5 non-septic critically ill patients. Core body temperature (CBT) was recorded for 24 h at a rate of one sample per hour (average of CBT for that hour) and during different occasions: upon ICU entry and exit in groups A and C and upon entry, septic shock development, and exit in group B. Markers of circadian rhythmicity included mean values, amplitude that is the difference between peak and mean values, and peak time. Furthermore, recurrence quantification analysis (RQA) was employed for assessing different markers of complexity of temperature signals. Patients from group C exhibited higher temperature amplitude upon entry (0.45 ± 0.19) in relation with both groups A (0.28 ± 0.18, p < 0.05) and B (0.32 ± 0.13, p < 0.05). Circadian features did not differ within all groups. Temperature amplitude in groups B and C upon entry was negatively correlated with SAPS II (r = - 0.72 and - 0.84, p < 0.003) and APACHE II scores (r = - 0.70 and - 0.63, p < 0.003), respectively, as well as duration of ICU and hospital stay in group B (r = - 0.62 and - 0.64, p < 0.003) and entry SOFA score in group C (r = - 0.82, p < 0.003). Increased periodicity of CBT was found for all patients upon exit related to entry in the ICU. Different RQA features indicating periodic patterns of change of entry CBT were negatively correlated with severity of disease and length of ICU stay for all patients.

conclusionsIncreased temperature rhythmicity during ICU entry was related with lower severity of disease and better clinical outcomes, whereas the more deterministic CBT patterns were found in less critically ill patients with shorter ICU stay.

Indexed as

Circadian rhythmComplexityCritical illnessEntropySeptic shockTemperature

Identifiers

PMID31486940
PMCPMC6728111

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