ArticlePhysiological reports2020
Skin temperature variability is an independent predictor of survival in patients with cirrhosis.
Article in Physiological reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Overview of Mathematical Relations Between Poincaré Plot Measures and Time and Frequency Domain Measures of Heart Rate Variability.Entropy (Basel, Switzerland) · 2025Article
- Application of physiological network mapping in the prediction of survival in critically ill patients with acute liver failure.Scientific reports · 2024Article
- Physiological network approach to prognosis in cirrhosis: A shifting paradigm.Physiological reports · 2024Review
- Application of short-term analysis of skin temperature variability in prediction of survival in patients with cirrhosis.Frontiers in network physiology · 2023Article
- The mechanistic and prognostic implications of heart rate variability analysis in patients with cirrhosis.Physiological reports · 2022Review
- Prognosis and Survival Modelling in Cirrhosis Using Parenclitic Networks.Frontiers in network physiology · 2022Article
- Skin temperature variability is an independent predictor of survival in patients with cirrhosis.Physiological reports · 2020Article
- Heart Rate Turbulence Predicts Survival Independently From Severity of Liver Dysfunction in Patients With Cirrhosis.Frontiers in physiology · 2020Article
- Organ System Network Disruption Is Associated With Poor Prognosis in Patients With Chronic Liver Failure.Frontiers in physiology · 2020Article
- The predictive role of autonomic neuropathy in pre- and post-liver transplantation outcomes: a systematic review and meta-analysis.Annals of gastroenterologyArticle
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Authors and funding
8 authors at 2 institutions in 3 countries.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundCirrhosis is a disease with multisystem involvement. It has been documented that patients with cirrhosis exhibit abnormal patterns of fluctuation in their body temperature. However, the clinical significance of this phenomenon is not well understood. The aim of this study was to determine if temperature variability analysis can predict survival in patients with cirrhosis.
methodsThirty eight inpatients with cirrhosis were enrolled in the study. Wireless temperature sensors were used to record patients' proximal skin temperature for 24 hr. The pattern of proximal temperature fluctuation was assessed using the extended Poincaré plot to measure short-term and long-term proximal temperature variability (PTV). Patients were followed up for 12 months, and information was collected on the occurrence of death/liver transplantation.
resultsDuring the follow-up period, 15 patients (39%) died or underwent transplantation for hepatic decompensation. Basal proximal skin temperature absolute values were comparable in survivors and nonsurvivors. However, nonsurvivors showed a significant reduction in both short-term and long-term HRV indices. Cox regression analysis showed that both short-term and long-term PTV indices could predict survival in these patients. However, only measures of short-term PTV were shown to be independent of the severity of hepatic failure in predicting survival. Finally, the prognostic value of short-term PTV was also independent of heart rate variability, that is, a measure of autonomic dysfunction.
conclusionChanges in the pattern of patients' temperature fluctuations, rather than their absolute values, hold key prognostic information, suggesting that impaired thermoregulation may play an important role in the pathophysiology of cirrhosis.
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