| Characteristics of heart rate variability can predict impending septic shock in emergency department patients with sepsis. | |
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MedLine Citation:
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PMID: 17389245 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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OBJECTIVES: To determine whether heart rate variability (HRV) measures can be used to predict which septic patients in the emergency department (ED) will progress to septic shock. METHODS: The authors prospectively enrolled consecutive patients who met the 2001 International Sepsis Definitions Conference criteria of sepsis and visited the ED of a university teaching hospital over a six-month period. In addition to the septic workup, a continuous 10-minute electrocardiogram recording was performed at the same time. The HRV measures were calculated off-line and correlated with the outcome of the patients. RESULTS: Eighty-one patients aged 30-84 years who met the inclusion criteria were enrolled. The patients were classified as those with no septic shock (n = 60) and those with septic shock (n = 21), according to their outcome within six hours. The baseline root mean square successive difference, high-frequency power, and normalized high-frequency power of the septic shock group were significantly higher than those of the no septic shock group. The low-frequency power, normalized low-frequency power, and low-/high-frequency power ratio of the septic shock group were significantly lower than those of the no septic shock group. Multiple logistic regression analysis identified root mean square successive difference as the best predictor of impending septic shock for septic ED patients. CONCLUSIONS: HRV measures may be used to identify septic ED patients with impending septic shock. Among those HRV measures, root mean square successive difference seems to be the best indicator to predict the occurrence of septic shock. |
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Authors:
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Wei-Lung Chen; Cheng-Deng Kuo |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2007-03-26 |
Journal Detail:
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Title: Academic emergency medicine : official journal of the Society for Academic Emergency Medicine Volume: 14 ISSN: 1553-2712 ISO Abbreviation: Acad Emerg Med Publication Date: 2007 May |
Date Detail:
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Created Date: 2007-04-25 Completed Date: 2007-05-21 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9418450 Medline TA: Acad Emerg Med Country: United States |
Other Details:
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Languages: eng Pagination: 392-7 Citation Subset: IM |
Affiliation:
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Department of Emergency Medicine, Cathay General Hospital, Taipei, Taiwan. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Aged Aged, 80 and over Chi-Square Distribution Electrocardiography Emergency Service, Hospital Female Heart Rate / physiology* Humans Logistic Models Male Middle Aged Predictive Value of Tests Prospective Studies Sepsis / physiopathology* Shock, Septic / physiopathology* Statistics, Nonparametric |
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