Heart rate variability predicts 30-day all-cause mortality in intensive care units. (5th August 2016)
- Record Type:
- Journal Article
- Title:
- Heart rate variability predicts 30-day all-cause mortality in intensive care units. (5th August 2016)
- Main Title:
- Heart rate variability predicts 30-day all-cause mortality in intensive care units
- Authors:
- Bishop, David G
Wise, Robert D
Lee, Carolyn
von Rahden, Richard P
Rodseth, Reitze N - Abstract:
- Abstract : Background: Autonomic nervous function, as quantified by heart rate variability (HRV), has shown promise in predicting clinically important outcomes in the critical care setting; however, there is debate concerning its utility. HRV analysis was assessed as a practical tool for outcome prediction in two South African hospitals and compared with Acute Physiology and Chronic Health Evaluation II (APACHE II) scoring. Method: In a dual centre, prospective, observational cohort study of patients admitted to the intensive care units (ICU) of two hospitals in KwaZulu-Natal, South Africa frequency domain HRV parameters were explored as predictors of: all-cause mortality at 30 days after admission; ICU stay duration; the need for invasive ventilation; the need for inotrope/vasopressor therapy; and the need for renal replacement therapy. The predictive ability of HRV parameters against the APACHE II score for the study outcomes was also compared. Results: A total of 55 patients were included in the study. Very low frequency power (VLF) was shown to predict 30-day mortality in ICU (odds ratio 0.6; 95% confidence interval 0.396–0.911). When compared with APACHE II, VLF remained a significant predictor of outcome, suggesting that it adds a unique component of prediction. No HRV parameters were predictive for the other secondary outcomes. Conclusion: This study found that VLF independently predicted all-cause mortality at 30 days after ICU admission. VLF provided additionalAbstract : Background: Autonomic nervous function, as quantified by heart rate variability (HRV), has shown promise in predicting clinically important outcomes in the critical care setting; however, there is debate concerning its utility. HRV analysis was assessed as a practical tool for outcome prediction in two South African hospitals and compared with Acute Physiology and Chronic Health Evaluation II (APACHE II) scoring. Method: In a dual centre, prospective, observational cohort study of patients admitted to the intensive care units (ICU) of two hospitals in KwaZulu-Natal, South Africa frequency domain HRV parameters were explored as predictors of: all-cause mortality at 30 days after admission; ICU stay duration; the need for invasive ventilation; the need for inotrope/vasopressor therapy; and the need for renal replacement therapy. The predictive ability of HRV parameters against the APACHE II score for the study outcomes was also compared. Results: A total of 55 patients were included in the study. Very low frequency power (VLF) was shown to predict 30-day mortality in ICU (odds ratio 0.6; 95% confidence interval 0.396–0.911). When compared with APACHE II, VLF remained a significant predictor of outcome, suggesting that it adds a unique component of prediction. No HRV parameters were predictive for the other secondary outcomes. Conclusion: This study found that VLF independently predicted all-cause mortality at 30 days after ICU admission. VLF provided additional predictive ability above that of the APACHE II score. As suggested by this exploratory analysis larger multi-centre studies seem warranted. … (more)
- Is Part Of:
- Southern African journal of anaesthesia and analgesia. Volume 22:Number 4(2016)
- Journal:
- Southern African journal of anaesthesia and analgesia
- Issue:
- Volume 22:Number 4(2016)
- Issue Display:
- Volume 22, Issue 4 (2016)
- Year:
- 2016
- Volume:
- 22
- Issue:
- 4
- Issue Sort Value:
- 2016-0022-0004-0000
- Page Start:
- 125
- Page End:
- 128
- Publication Date:
- 2016-08-05
- Subjects:
- APACHE II -- autonomic nervous system -- critical care -- heart rate variability -- mortality
Anaesthesia -- Periodicals
Analgesia -- Periodicals
617.96 - Journal URLs:
- https://www.tandfonline.com/loi/ojaa20 ↗
- DOI:
- 10.1080/22201181.2016.1202605 ↗
- Languages:
- English
- ISSNs:
- 2220-1181
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 5941.xml