SynthesisJournal of clinical monitoring and computing2025
Heart rate variability as a marker of multiple organ dysfunction syndromes: a systematic review.
Synthesis in Journal of clinical monitoring and computing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07443072 (Heart Rate Variability and Processed EEG Features as Predictors of Postoperative Outcomes After Cranial Neurosurgery - A Prospective Observational Study in the Post-Anesthesia Care Unit), which is not on this map. Cited by 8 papers.
What it found
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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.
Heart Rate Variability and Processed EEG Features as Predictors of Postoperative Outcomes After Cranial Neurosurgery - A Prospective Observational Study in the Post-Anesthesia Care Unit
Who cites it
8 citing papers in PubMed.
- From Static Risk Estimates to Dynamic Clinical Trajectories: A Conceptual Analysis of Perioperative Medicine.Health care analysis : HCA : journal of health philosophy and policy · 2026Article
- Heart rate variability as a marker of multiple organ dysfunction syndrome in deeply sedated, prepubescent patients: a secondary analysis.Journal of clinical monitoring and computing · 2026Observational
- [Prognostic value of critical illness scores and the ratio of neutrophil count to lymphocyte and platelet count for predicting 28-day mortality in pediatric sepsis].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2026Article
- Development and validation of a MODS risk prediction model for organophosphorus poisoning patients.Frontiers in medicine · 2026Article
- Analysis of the predictive value of heart rate variability analysis combined with SOFA and APACHE II scores for the 28-day mortality risk of patients in the emergency intensive care unit.Frontiers in medicine · 2026Article
- Sepsis-associated gastrointestinal dysfunction: neuroimmune mechanisms, gut-brain axis disruption, and therapeutic potential of vagus nerve-targeted neuromodulation.Frontiers in medicine · 2026Review
- Socioeconomic disparities in physiological dysregulation: a longitudinal mediation analysis of cardiometabolic multimorbidity among middle-aged and elderly Chinese.BMC public health · 2025Observational
- Interpreting heart rate variability: addressing the role of anesthesia and pain.Journal of clinical monitoring and computing · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple organ dysfunction syndrome (MODS) can be caused by many factors. Assessments of the severity of MODS are currently based on occasional measurements of several clinical variables (laboratory data, vital signs, etc.). The analysis of heart rate variability (HRV) as a guide to autonomic nervous system activity might be of value in the continuous assessment of the severity of MODS. We systematically reviewed publications on the value of HRV variables for the diagnosis of MODS in patients of any age admitted to the ICU. Two investigators independently searched the PubMed, Embase, Cochrane and Science Direct databases for articles in English or French published between 2004 and 2024. Ten studies were included and rated for endpoint bias (MODS or mortality), using the revised Quality Assessment of Diagnostic Accuracy Studies. Nine studies assessed MODS, and six assessed mortality. All the studies evidenced low HRV in patients with MODS and in non-survivors. The results of our review show that HRV indices are influenced by the severity of MODS and might serve as a tool for predicting mortality in patients with MODS. However, patient characteristics, and treatments and HRV processing methods must be taken into account when interpreting the results. In order to clarify the impact of MODS on HRV variables, methodologically rigorous studies are now needed.
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