Efficacy of Fluid Assessment Based on Intrathoracic Impedance Monitoring in Patients With Systolic Heart Failure

Background: Previous studies have demonstrated that intrathoracic impedance monitoring (IIM) is associated with fluid overload. However, it remains unclear whether this new technology can predict heart failure (HF) before deterioration. Whether fluid status based on IIM predicts HF in patients with...

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Veröffentlicht in:Circulation Journal 2011, Vol.75(1), pp.129-134
Hauptverfasser: Soga, Yoshimitsu, Ando, Kenji, Arita, Takeshi, Hyodo, Makoto, Goya, Masahiko, Iwabuchi, Masashi, Nobuyoshi, Masakiyo
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container_end_page 134
container_issue 1
container_start_page 129
container_title Circulation Journal
container_volume 75
creator Soga, Yoshimitsu
Ando, Kenji
Arita, Takeshi
Hyodo, Makoto
Goya, Masahiko
Iwabuchi, Masashi
Nobuyoshi, Masakiyo
description Background: Previous studies have demonstrated that intrathoracic impedance monitoring (IIM) is associated with fluid overload. However, it remains unclear whether this new technology can predict heart failure (HF) before deterioration. Whether fluid status based on IIM predicts HF in patients with left ventricular (LV) systolic dysfunction was investigated. Methods and Results: A prospective clinical observational study of 123 patients implanted with IIM-capable cardiac devices was carried out. The primary endpoint was the positive predictive value (PPV) at 12 months. Secondary endpoints were a correlation between onset of HF and IIM, optimal threshold of fluid index and duration between the alert and HF. Complete follow-up clinical data were obtained from 111 patients. During the observational period, 168 alerts were confirmed from 68 patients. In patient-based analysis (alert-based analysis), PPV was 33.8% (33.9%). Sensitivity, specificity and false positive was 67.6% (83.8%), 49.4% (28.4%) and 50.6% (71.6%), respectively. Mean duration between the alert and HF event was 21.4±6.1 days. On multivariate logistic analysis, maximum fluid index, LV ejection fraction and atrial fibrillation were independent predictors of HF events. The optimal cut-off value determined by receiver operating characteristic curve was 114-ohm·day with sensitivity and specificity of 89.5% and 73.0%, respectively. Conclusions: IIM-based fluid index in patients with HF due to LV systolic dysfunction was effective in predicting worsening HF. (Circ J 2011; 75: 129-134)
doi_str_mv 10.1253/circj.CJ-10-0730
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However, it remains unclear whether this new technology can predict heart failure (HF) before deterioration. Whether fluid status based on IIM predicts HF in patients with left ventricular (LV) systolic dysfunction was investigated. Methods and Results: A prospective clinical observational study of 123 patients implanted with IIM-capable cardiac devices was carried out. The primary endpoint was the positive predictive value (PPV) at 12 months. Secondary endpoints were a correlation between onset of HF and IIM, optimal threshold of fluid index and duration between the alert and HF. Complete follow-up clinical data were obtained from 111 patients. During the observational period, 168 alerts were confirmed from 68 patients. In patient-based analysis (alert-based analysis), PPV was 33.8% (33.9%). Sensitivity, specificity and false positive was 67.6% (83.8%), 49.4% (28.4%) and 50.6% (71.6%), respectively. Mean duration between the alert and HF event was 21.4±6.1 days. On multivariate logistic analysis, maximum fluid index, LV ejection fraction and atrial fibrillation were independent predictors of HF events. The optimal cut-off value determined by receiver operating characteristic curve was 114-ohm·day with sensitivity and specificity of 89.5% and 73.0%, respectively. Conclusions: IIM-based fluid index in patients with HF due to LV systolic dysfunction was effective in predicting worsening HF. 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However, it remains unclear whether this new technology can predict heart failure (HF) before deterioration. Whether fluid status based on IIM predicts HF in patients with left ventricular (LV) systolic dysfunction was investigated. Methods and Results: A prospective clinical observational study of 123 patients implanted with IIM-capable cardiac devices was carried out. The primary endpoint was the positive predictive value (PPV) at 12 months. Secondary endpoints were a correlation between onset of HF and IIM, optimal threshold of fluid index and duration between the alert and HF. Complete follow-up clinical data were obtained from 111 patients. During the observational period, 168 alerts were confirmed from 68 patients. In patient-based analysis (alert-based analysis), PPV was 33.8% (33.9%). Sensitivity, specificity and false positive was 67.6% (83.8%), 49.4% (28.4%) and 50.6% (71.6%), respectively. Mean duration between the alert and HF event was 21.4±6.1 days. On multivariate logistic analysis, maximum fluid index, LV ejection fraction and atrial fibrillation were independent predictors of HF events. The optimal cut-off value determined by receiver operating characteristic curve was 114-ohm·day with sensitivity and specificity of 89.5% and 73.0%, respectively. Conclusions: IIM-based fluid index in patients with HF due to LV systolic dysfunction was effective in predicting worsening HF. 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Ando, Kenji ; Arita, Takeshi ; Hyodo, Makoto ; Goya, Masahiko ; Iwabuchi, Masashi ; Nobuyoshi, Masakiyo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c469t-5da795705c0333b519a4323cbd43a125cd1c4209eb6ab5eb6c914f6df30ce8c33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Aged</topic><topic>Atrial Fibrillation - etiology</topic><topic>Atrial Fibrillation - physiopathology</topic><topic>Cardiac device</topic><topic>Cardiac Resynchronization Therapy</topic><topic>Cardiac Resynchronization Therapy Devices</topic><topic>Cardiography, Impedance</topic><topic>Chi-Square Distribution</topic><topic>Clinical Alarms</topic><topic>Defibrillators, Implantable</topic><topic>Electric Impedance</topic><topic>Equipment Design</topic><topic>Female</topic><topic>Heart failure</topic><topic>Heart Failure, Systolic - diagnosis</topic><topic>Heart Failure, Systolic - etiology</topic><topic>Heart Failure, Systolic - physiopathology</topic><topic>Heart Failure, Systolic - therapy</topic><topic>Humans</topic><topic>Intrathoracic impedance</topic><topic>Japan</topic><topic>Kaplan-Meier Estimate</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Odds Ratio</topic><topic>Predictive Value of Tests</topic><topic>Prospective Studies</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>Sensitivity and Specificity</topic><topic>Stroke Volume</topic><topic>Time Factors</topic><topic>Treatment Outcome</topic><topic>Ventricular Dysfunction, Left - complications</topic><topic>Ventricular Dysfunction, Left - diagnosis</topic><topic>Ventricular Dysfunction, Left - physiopathology</topic><topic>Ventricular Dysfunction, Left - therapy</topic><topic>Ventricular Function, Left</topic><topic>Water-Electrolyte Imbalance - diagnosis</topic><topic>Water-Electrolyte Imbalance - etiology</topic><topic>Water-Electrolyte Imbalance - physiopathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Soga, Yoshimitsu</creatorcontrib><creatorcontrib>Ando, Kenji</creatorcontrib><creatorcontrib>Arita, Takeshi</creatorcontrib><creatorcontrib>Hyodo, Makoto</creatorcontrib><creatorcontrib>Goya, Masahiko</creatorcontrib><creatorcontrib>Iwabuchi, Masashi</creatorcontrib><creatorcontrib>Nobuyoshi, Masakiyo</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Circulation Journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Soga, Yoshimitsu</au><au>Ando, Kenji</au><au>Arita, Takeshi</au><au>Hyodo, Makoto</au><au>Goya, Masahiko</au><au>Iwabuchi, Masashi</au><au>Nobuyoshi, Masakiyo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Efficacy of Fluid Assessment Based on Intrathoracic Impedance Monitoring in Patients With Systolic Heart Failure</atitle><jtitle>Circulation Journal</jtitle><addtitle>Circ J</addtitle><date>2011</date><risdate>2011</risdate><volume>75</volume><issue>1</issue><spage>129</spage><epage>134</epage><pages>129-134</pages><issn>1346-9843</issn><eissn>1347-4820</eissn><abstract>Background: Previous studies have demonstrated that intrathoracic impedance monitoring (IIM) is associated with fluid overload. However, it remains unclear whether this new technology can predict heart failure (HF) before deterioration. Whether fluid status based on IIM predicts HF in patients with left ventricular (LV) systolic dysfunction was investigated. Methods and Results: A prospective clinical observational study of 123 patients implanted with IIM-capable cardiac devices was carried out. The primary endpoint was the positive predictive value (PPV) at 12 months. Secondary endpoints were a correlation between onset of HF and IIM, optimal threshold of fluid index and duration between the alert and HF. Complete follow-up clinical data were obtained from 111 patients. During the observational period, 168 alerts were confirmed from 68 patients. In patient-based analysis (alert-based analysis), PPV was 33.8% (33.9%). Sensitivity, specificity and false positive was 67.6% (83.8%), 49.4% (28.4%) and 50.6% (71.6%), respectively. Mean duration between the alert and HF event was 21.4±6.1 days. On multivariate logistic analysis, maximum fluid index, LV ejection fraction and atrial fibrillation were independent predictors of HF events. The optimal cut-off value determined by receiver operating characteristic curve was 114-ohm·day with sensitivity and specificity of 89.5% and 73.0%, respectively. Conclusions: IIM-based fluid index in patients with HF due to LV systolic dysfunction was effective in predicting worsening HF. (Circ J 2011; 75: 129-134)</abstract><cop>Japan</cop><pub>The Japanese Circulation Society</pub><pmid>21127381</pmid><doi>10.1253/circj.CJ-10-0730</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
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subjects Aged
Atrial Fibrillation - etiology
Atrial Fibrillation - physiopathology
Cardiac device
Cardiac Resynchronization Therapy
Cardiac Resynchronization Therapy Devices
Cardiography, Impedance
Chi-Square Distribution
Clinical Alarms
Defibrillators, Implantable
Electric Impedance
Equipment Design
Female
Heart failure
Heart Failure, Systolic - diagnosis
Heart Failure, Systolic - etiology
Heart Failure, Systolic - physiopathology
Heart Failure, Systolic - therapy
Humans
Intrathoracic impedance
Japan
Kaplan-Meier Estimate
Logistic Models
Male
Middle Aged
Odds Ratio
Predictive Value of Tests
Prospective Studies
Risk Assessment
Risk Factors
Sensitivity and Specificity
Stroke Volume
Time Factors
Treatment Outcome
Ventricular Dysfunction, Left - complications
Ventricular Dysfunction, Left - diagnosis
Ventricular Dysfunction, Left - physiopathology
Ventricular Dysfunction, Left - therapy
Ventricular Function, Left
Water-Electrolyte Imbalance - diagnosis
Water-Electrolyte Imbalance - etiology
Water-Electrolyte Imbalance - physiopathology
title Efficacy of Fluid Assessment Based on Intrathoracic Impedance Monitoring in Patients With Systolic Heart Failure
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