Prognostic value of variables derived from heart rate variability in patients with traumatic brain injury after decompressive surgery
Measurement of heart rate variability can reveal autonomic nervous system function. Changes in heart rate variability can be associated with disease severity, risk of complications, and prognosis. We aimed to investigate the prognostic value of heart rate variability measurements in patients with mo...
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| description | Measurement of heart rate variability can reveal autonomic nervous system function. Changes in heart rate variability can be associated with disease severity, risk of complications, and prognosis. We aimed to investigate the prognostic value of heart rate variability measurements in patients with moderate-to-severe traumatic brain injury after decompression surgery. We conducted a prospective study of 80 patients with traumatic brain injury after decompression surgery using a noninvasive electrocardiography device for data collection. Assessment of heart rate variability parameters included the time and frequency domains. The correlations between heart rate variability parameters and one-year mortality and functional outcomes were analyzed. Time domain measures of heart rate variability, using the standard deviation of the RR intervals and the square root of the mean squared differences of successive RR intervals, were statistically significantly lower in the group of patients with unfavorable outcomes and those that died. In frequency domain analysis, very low-frequency and total power were significantly higher in patients with favorable functional outcomes. High-frequency, low-frequency, and total power were statistically significantly higher in patients who survived for more than one year. Multivariate analysis using a model combining age and the Glasgow Coma Scale score with variables derived from heart rate variability substantially improved the prognostic value for predicting long-term outcome. These findings reinforced the concept that traumatic brain injury impacts the brain-heart axis and cardiac autonomic modulation even after decompression surgery, and variables derived from heart rate variability may be useful predictors of outcome. |
| doi_str_mv | 10.1371/journal.pone.0245792 |
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Changes in heart rate variability can be associated with disease severity, risk of complications, and prognosis. We aimed to investigate the prognostic value of heart rate variability measurements in patients with moderate-to-severe traumatic brain injury after decompression surgery. We conducted a prospective study of 80 patients with traumatic brain injury after decompression surgery using a noninvasive electrocardiography device for data collection. Assessment of heart rate variability parameters included the time and frequency domains. The correlations between heart rate variability parameters and one-year mortality and functional outcomes were analyzed. Time domain measures of heart rate variability, using the standard deviation of the RR intervals and the square root of the mean squared differences of successive RR intervals, were statistically significantly lower in the group of patients with unfavorable outcomes and those that died. In frequency domain analysis, very low-frequency and total power were significantly higher in patients with favorable functional outcomes. High-frequency, low-frequency, and total power were statistically significantly higher in patients who survived for more than one year. Multivariate analysis using a model combining age and the Glasgow Coma Scale score with variables derived from heart rate variability substantially improved the prognostic value for predicting long-term outcome. These findings reinforced the concept that traumatic brain injury impacts the brain-heart axis and cardiac autonomic modulation even after decompression surgery, and variables derived from heart rate variability may be useful predictors of outcome.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0245792</identifier><identifier>PMID: 33539419</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Age ; Autonomic nervous system ; Biology and Life Sciences ; Brain ; Brain tumors ; Cerebral infarction ; Congestive heart failure ; Coronary artery disease ; Diabetes ; Diabetes mellitus ; Drug abuse ; Editing ; EKG ; Electrocardiography ; Electronic mail ; Fast Fourier transformations ; Fourier analysis ; Fourier transforms ; Fractures ; Frequency analysis ; Frequency domain analysis ; Head injuries ; Health aspects ; Heart beat ; Heart rate ; Hematoma ; Hemothorax ; Hospitals ; Industrial engineering ; Injuries ; Medical prognosis ; Medicine and Health Sciences ; Meningitis ; Mortality ; Myocardial infarction ; Neurosurgery ; Patients ; Research and Analysis Methods ; Science and technology ; Sepsis ; Signal quality ; Spleen ; Surgeons ; Surgery ; Trauma ; Traumatic brain injury ; Variability</subject><ispartof>PloS one, 2021-02, Vol.16 (2), p.e0245792-e0245792</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Lu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Changes in heart rate variability can be associated with disease severity, risk of complications, and prognosis. We aimed to investigate the prognostic value of heart rate variability measurements in patients with moderate-to-severe traumatic brain injury after decompression surgery. We conducted a prospective study of 80 patients with traumatic brain injury after decompression surgery using a noninvasive electrocardiography device for data collection. Assessment of heart rate variability parameters included the time and frequency domains. The correlations between heart rate variability parameters and one-year mortality and functional outcomes were analyzed. Time domain measures of heart rate variability, using the standard deviation of the RR intervals and the square root of the mean squared differences of successive RR intervals, were statistically significantly lower in the group of patients with unfavorable outcomes and those that died. In frequency domain analysis, very low-frequency and total power were significantly higher in patients with favorable functional outcomes. High-frequency, low-frequency, and total power were statistically significantly higher in patients who survived for more than one year. Multivariate analysis using a model combining age and the Glasgow Coma Scale score with variables derived from heart rate variability substantially improved the prognostic value for predicting long-term outcome. These findings reinforced the concept that traumatic brain injury impacts the brain-heart axis and cardiac autonomic modulation even after decompression surgery, and variables derived from heart rate variability may be useful predictors of outcome.</description><subject>Age</subject><subject>Autonomic nervous system</subject><subject>Biology and Life Sciences</subject><subject>Brain</subject><subject>Brain tumors</subject><subject>Cerebral infarction</subject><subject>Congestive heart failure</subject><subject>Coronary artery disease</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Drug abuse</subject><subject>Editing</subject><subject>EKG</subject><subject>Electrocardiography</subject><subject>Electronic mail</subject><subject>Fast Fourier transformations</subject><subject>Fourier analysis</subject><subject>Fourier transforms</subject><subject>Fractures</subject><subject>Frequency analysis</subject><subject>Frequency domain 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value of variables derived from heart rate variability in patients with traumatic brain injury after decompressive surgery</title><author>Lu, Hsueh-Yi ; Huang, Abel Po-Hao ; Kuo, Lu-Ting</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-6dd6b64832c32f3be3f7d3ba2a7c3c7961db3184349734a7be540e6da33921d63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Age</topic><topic>Autonomic nervous system</topic><topic>Biology and Life Sciences</topic><topic>Brain</topic><topic>Brain tumors</topic><topic>Cerebral infarction</topic><topic>Congestive heart failure</topic><topic>Coronary artery disease</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Drug abuse</topic><topic>Editing</topic><topic>EKG</topic><topic>Electrocardiography</topic><topic>Electronic mail</topic><topic>Fast Fourier transformations</topic><topic>Fourier analysis</topic><topic>Fourier 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One</addtitle><date>2021-02-04</date><risdate>2021</risdate><volume>16</volume><issue>2</issue><spage>e0245792</spage><epage>e0245792</epage><pages>e0245792-e0245792</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Measurement of heart rate variability can reveal autonomic nervous system function. Changes in heart rate variability can be associated with disease severity, risk of complications, and prognosis. We aimed to investigate the prognostic value of heart rate variability measurements in patients with moderate-to-severe traumatic brain injury after decompression surgery. We conducted a prospective study of 80 patients with traumatic brain injury after decompression surgery using a noninvasive electrocardiography device for data collection. Assessment of heart rate variability parameters included the time and frequency domains. The correlations between heart rate variability parameters and one-year mortality and functional outcomes were analyzed. Time domain measures of heart rate variability, using the standard deviation of the RR intervals and the square root of the mean squared differences of successive RR intervals, were statistically significantly lower in the group of patients with unfavorable outcomes and those that died. In frequency domain analysis, very low-frequency and total power were significantly higher in patients with favorable functional outcomes. High-frequency, low-frequency, and total power were statistically significantly higher in patients who survived for more than one year. Multivariate analysis using a model combining age and the Glasgow Coma Scale score with variables derived from heart rate variability substantially improved the prognostic value for predicting long-term outcome. These findings reinforced the concept that traumatic brain injury impacts the brain-heart axis and cardiac autonomic modulation even after decompression surgery, and variables derived from heart rate variability may be useful predictors of outcome.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33539419</pmid><doi>10.1371/journal.pone.0245792</doi><tpages>e0245792</tpages><orcidid>https://orcid.org/0000-0002-1405-8700</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Age Autonomic nervous system Biology and Life Sciences Brain Brain tumors Cerebral infarction Congestive heart failure Coronary artery disease Diabetes Diabetes mellitus Drug abuse Editing EKG Electrocardiography Electronic mail Fast Fourier transformations Fourier analysis Fourier transforms Fractures Frequency analysis Frequency domain analysis Head injuries Health aspects Heart beat Heart rate Hematoma Hemothorax Hospitals Industrial engineering Injuries Medical prognosis Medicine and Health Sciences Meningitis Mortality Myocardial infarction Neurosurgery Patients Research and Analysis Methods Science and technology Sepsis Signal quality Spleen Surgeons Surgery Trauma Traumatic brain injury Variability |
| title | Prognostic value of variables derived from heart rate variability in patients with traumatic brain injury after decompressive surgery |
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