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Usefulness of the Combination of In-Hospital Poor Diuretic Response and Systemic Congestion to Predict Future Cardiac Events in Patients With Acute Decompensated Heart Failure
We aimed to (1) investigate the relation between diuretic response (DR) with or without systemic congestion and prognosis and (2) explore the potential predictors of poor DR for risk stratification in patients with acute decompensated heart failure (ADHF). We enrolled 186 consecutive patients hospit...
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Published in: | The American journal of cardiology 2017-06, Vol.119 (12), p.2010-2016 |
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container_end_page | 2016 |
container_issue | 12 |
container_start_page | 2010 |
container_title | The American journal of cardiology |
container_volume | 119 |
creator | Aoki, Soichiro, MD Okumura, Takahiro, MD, PhD Sawamura, Akinori, MD Kitagawa, Katsuhide, MD Morimoto, Ryota, MD Sakakibara, Masaki, MD, PhD Murohara, Toyoaki, MD, PhD |
description | We aimed to (1) investigate the relation between diuretic response (DR) with or without systemic congestion and prognosis and (2) explore the potential predictors of poor DR for risk stratification in patients with acute decompensated heart failure (ADHF). We enrolled 186 consecutive patients hospitalized for ADHF. The DR was defined as (body weight at discharge − body weight at admission)/40 mg furosemide or equivalent loop diuretic dose. Systemic congestion on admission was simply evaluated by the presence of leg edema or jugular venous distention. All patients were divided into 4 groups based on the median of DR (−0.50 kg/40 mg) and the status of systemic congestion; GR/C (good DR with systemic congestion, n = 66), GR/N (good DR without systemic congestion, n = 27), PR/C (poor DR with systemic congestion, n = 48); and PR/N (poor DR without systemic congestion, n = 45). The composite outcome was defined as cardiac death and rehospitalization for worsening heart failure. In survival analysis, the cardiac event-free rate in PR/C was significantly lower than that in any other groups (log-rank, p |
doi_str_mv | 10.1016/j.amjcard.2017.03.030 |
format | article |
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We enrolled 186 consecutive patients hospitalized for ADHF. The DR was defined as (body weight at discharge − body weight at admission)/40 mg furosemide or equivalent loop diuretic dose. Systemic congestion on admission was simply evaluated by the presence of leg edema or jugular venous distention. All patients were divided into 4 groups based on the median of DR (−0.50 kg/40 mg) and the status of systemic congestion; GR/C (good DR with systemic congestion, n = 66), GR/N (good DR without systemic congestion, n = 27), PR/C (poor DR with systemic congestion, n = 48); and PR/N (poor DR without systemic congestion, n = 45). The composite outcome was defined as cardiac death and rehospitalization for worsening heart failure. In survival analysis, the cardiac event-free rate in PR/C was significantly lower than that in any other groups (log-rank, p <0.001), and PR/C was an independent predictor of cardiac events (hazard ratio 2.17, p = 0.016). In conclusion, the combination of in-hospital poor DR, characterized by previous ischemic heart disease, and prehospital dose of daily loop diuretics, and systemic congestion provides a risk stratification for future cardiac events in patients with ADHF.</description><identifier>ISSN: 0002-9149</identifier><identifier>EISSN: 1879-1913</identifier><identifier>DOI: 10.1016/j.amjcard.2017.03.030</identifier><identifier>PMID: 28438307</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Acute Disease ; Aged ; Aged, 80 and over ; Aldosterone ; Anemia ; Angiotensin ; Antagonists ; Bioavailability ; Body weight ; Cardiology ; Cardiovascular ; Cardiovascular disease ; Congestion ; Congestive heart failure ; Continuity (mathematics) ; Coronary artery disease ; Creatinine ; Death ; Disease Progression ; Diuretics ; Dose-Response Relationship, Drug ; Drugs ; Echocardiography ; Edema ; Edema - drug therapy ; Edema - epidemiology ; Edema - etiology ; Emergencies ; Emergency medical services ; Ethics ; Etiology ; Female ; Follow-Up Studies ; Furosemide ; Geriatrics ; Glomerular filtration rate ; Guidelines ; Health hazards ; Heart failure ; Heart Failure - complications ; Heart Failure - drug therapy ; Heart Failure - epidemiology ; Heart rate ; Hemoglobin ; Humans ; Incidence ; Inhibitors ; Inpatients ; Japan - epidemiology ; Kidneys ; Lists ; Male ; Mathematical models ; Medical prognosis ; Mortality ; Multivariate analysis ; Nitrogen ; Older people ; Patients ; Pharmacokinetics ; Pharmacology ; Prognosis ; Regression analysis ; Retrospective Studies ; Risk ; Risk Assessment ; Sensitivity ; Sodium Potassium Chloride Symporter Inhibitors - administration & dosage ; Statistical analysis ; Survival ; Survival analysis ; Survival Rate - trends ; Time Factors ; Treatment Outcome ; Urea ; Variance analysis</subject><ispartof>The American journal of cardiology, 2017-06, Vol.119 (12), p.2010-2016</ispartof><rights>Elsevier Inc.</rights><rights>2017 Elsevier Inc.</rights><rights>Copyright © 2017 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Sequoia S.A. Jun 15, 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c558t-62f5269444cb43f504ec75d6a54c2a96146316737dd8e5f0dfd785e478db8e2f3</citedby><cites>FETCH-LOGICAL-c558t-62f5269444cb43f504ec75d6a54c2a96146316737dd8e5f0dfd785e478db8e2f3</cites><orcidid>0000-0001-5076-2052</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28438307$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Aoki, Soichiro, MD</creatorcontrib><creatorcontrib>Okumura, Takahiro, MD, PhD</creatorcontrib><creatorcontrib>Sawamura, Akinori, MD</creatorcontrib><creatorcontrib>Kitagawa, Katsuhide, MD</creatorcontrib><creatorcontrib>Morimoto, Ryota, MD</creatorcontrib><creatorcontrib>Sakakibara, Masaki, MD, PhD</creatorcontrib><creatorcontrib>Murohara, Toyoaki, MD, PhD</creatorcontrib><title>Usefulness of the Combination of In-Hospital Poor Diuretic Response and Systemic Congestion to Predict Future Cardiac Events in Patients With Acute Decompensated Heart Failure</title><title>The American journal of cardiology</title><addtitle>Am J Cardiol</addtitle><description>We aimed to (1) investigate the relation between diuretic response (DR) with or without systemic congestion and prognosis and (2) explore the potential predictors of poor DR for risk stratification in patients with acute decompensated heart failure (ADHF). We enrolled 186 consecutive patients hospitalized for ADHF. The DR was defined as (body weight at discharge − body weight at admission)/40 mg furosemide or equivalent loop diuretic dose. Systemic congestion on admission was simply evaluated by the presence of leg edema or jugular venous distention. All patients were divided into 4 groups based on the median of DR (−0.50 kg/40 mg) and the status of systemic congestion; GR/C (good DR with systemic congestion, n = 66), GR/N (good DR without systemic congestion, n = 27), PR/C (poor DR with systemic congestion, n = 48); and PR/N (poor DR without systemic congestion, n = 45). The composite outcome was defined as cardiac death and rehospitalization for worsening heart failure. In survival analysis, the cardiac event-free rate in PR/C was significantly lower than that in any other groups (log-rank, p <0.001), and PR/C was an independent predictor of cardiac events (hazard ratio 2.17, p = 0.016). In conclusion, the combination of in-hospital poor DR, characterized by previous ischemic heart disease, and prehospital dose of daily loop diuretics, and systemic congestion provides a risk stratification for future cardiac events in patients with ADHF.</description><subject>Acute Disease</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aldosterone</subject><subject>Anemia</subject><subject>Angiotensin</subject><subject>Antagonists</subject><subject>Bioavailability</subject><subject>Body weight</subject><subject>Cardiology</subject><subject>Cardiovascular</subject><subject>Cardiovascular disease</subject><subject>Congestion</subject><subject>Congestive heart failure</subject><subject>Continuity (mathematics)</subject><subject>Coronary artery disease</subject><subject>Creatinine</subject><subject>Death</subject><subject>Disease Progression</subject><subject>Diuretics</subject><subject>Dose-Response Relationship, Drug</subject><subject>Drugs</subject><subject>Echocardiography</subject><subject>Edema</subject><subject>Edema - drug therapy</subject><subject>Edema - epidemiology</subject><subject>Edema - etiology</subject><subject>Emergencies</subject><subject>Emergency medical services</subject><subject>Ethics</subject><subject>Etiology</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Furosemide</subject><subject>Geriatrics</subject><subject>Glomerular filtration rate</subject><subject>Guidelines</subject><subject>Health hazards</subject><subject>Heart failure</subject><subject>Heart Failure - complications</subject><subject>Heart Failure - drug therapy</subject><subject>Heart Failure - epidemiology</subject><subject>Heart rate</subject><subject>Hemoglobin</subject><subject>Humans</subject><subject>Incidence</subject><subject>Inhibitors</subject><subject>Inpatients</subject><subject>Japan - epidemiology</subject><subject>Kidneys</subject><subject>Lists</subject><subject>Male</subject><subject>Mathematical models</subject><subject>Medical prognosis</subject><subject>Mortality</subject><subject>Multivariate analysis</subject><subject>Nitrogen</subject><subject>Older people</subject><subject>Patients</subject><subject>Pharmacokinetics</subject><subject>Pharmacology</subject><subject>Prognosis</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Risk</subject><subject>Risk Assessment</subject><subject>Sensitivity</subject><subject>Sodium Potassium Chloride Symporter Inhibitors - administration & dosage</subject><subject>Statistical analysis</subject><subject>Survival</subject><subject>Survival analysis</subject><subject>Survival Rate - trends</subject><subject>Time Factors</subject><subject>Treatment Outcome</subject><subject>Urea</subject><subject>Variance analysis</subject><issn>0002-9149</issn><issn>1879-1913</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqFUl1rFDEUHUSxa_UnKAFffJk1mSQzyYtStq1bKLhYi48hm9yxWWeSNckU9lf5F812V4W-CIEkl3PO_Ti3ql4TPCeYtO83cz1ujI523mDSzTEtBz-pZkR0siaS0KfVDGPc1JIweVK9SGlTvoTw9nl10ghGBcXdrPp1m6CfBg8podCjfAdoEca18zq74PehK18vQ9q6rAe0CiGiczdFyM6gL5C2wSdA2lt0s0sZxhJdBP8d0gM7B7SKYJ3J6HLKhYUWpWCnDbq4B58Tch6tSqKH9zeX79CZmTKgczBh3IJPOoNFS9CxCGg3FIWX1bNeDwleHe_T6vby4utiWV9__nS1OLuuDeci123T86aVjDGzZrTnmIHpuG01Z6bRsiWspaTtaGetAN5j29tOcGCdsGsBTU9Pq3cH3W0MP6fSjxpdMjAM2kOYkiJCEiEkJU2Bvn0E3YQp-lKdIhI3TEraiYLiB5SJIaUIvdpGN-q4UwSrvaNqo46Oqr2jCtNycOG9OapP6xHsX9YfCwvg4wEAZRz3DqJKpkzUlLlHMFnZ4P6b4sMjBTM474wefsAO0r9uVGoUVjf7tdpvFekKmTNOfwMsusr4</recordid><startdate>20170615</startdate><enddate>20170615</enddate><creator>Aoki, Soichiro, MD</creator><creator>Okumura, Takahiro, MD, PhD</creator><creator>Sawamura, Akinori, MD</creator><creator>Kitagawa, Katsuhide, MD</creator><creator>Morimoto, Ryota, MD</creator><creator>Sakakibara, Masaki, MD, PhD</creator><creator>Murohara, Toyoaki, MD, PhD</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7Z</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5076-2052</orcidid></search><sort><creationdate>20170615</creationdate><title>Usefulness of the Combination of In-Hospital Poor Diuretic Response and Systemic Congestion to Predict Future Cardiac Events in Patients With Acute Decompensated Heart Failure</title><author>Aoki, Soichiro, MD ; Okumura, Takahiro, MD, PhD ; Sawamura, Akinori, MD ; Kitagawa, Katsuhide, MD ; Morimoto, Ryota, MD ; Sakakibara, Masaki, MD, PhD ; Murohara, Toyoaki, MD, PhD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c558t-62f5269444cb43f504ec75d6a54c2a96146316737dd8e5f0dfd785e478db8e2f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Acute Disease</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aldosterone</topic><topic>Anemia</topic><topic>Angiotensin</topic><topic>Antagonists</topic><topic>Bioavailability</topic><topic>Body weight</topic><topic>Cardiology</topic><topic>Cardiovascular</topic><topic>Cardiovascular disease</topic><topic>Congestion</topic><topic>Congestive heart failure</topic><topic>Continuity (mathematics)</topic><topic>Coronary artery disease</topic><topic>Creatinine</topic><topic>Death</topic><topic>Disease Progression</topic><topic>Diuretics</topic><topic>Dose-Response Relationship, Drug</topic><topic>Drugs</topic><topic>Echocardiography</topic><topic>Edema</topic><topic>Edema - drug therapy</topic><topic>Edema - epidemiology</topic><topic>Edema - etiology</topic><topic>Emergencies</topic><topic>Emergency medical services</topic><topic>Ethics</topic><topic>Etiology</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Furosemide</topic><topic>Geriatrics</topic><topic>Glomerular filtration rate</topic><topic>Guidelines</topic><topic>Health hazards</topic><topic>Heart failure</topic><topic>Heart Failure - complications</topic><topic>Heart Failure - drug therapy</topic><topic>Heart Failure - epidemiology</topic><topic>Heart rate</topic><topic>Hemoglobin</topic><topic>Humans</topic><topic>Incidence</topic><topic>Inhibitors</topic><topic>Inpatients</topic><topic>Japan - epidemiology</topic><topic>Kidneys</topic><topic>Lists</topic><topic>Male</topic><topic>Mathematical models</topic><topic>Medical prognosis</topic><topic>Mortality</topic><topic>Multivariate analysis</topic><topic>Nitrogen</topic><topic>Older people</topic><topic>Patients</topic><topic>Pharmacokinetics</topic><topic>Pharmacology</topic><topic>Prognosis</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>Risk</topic><topic>Risk Assessment</topic><topic>Sensitivity</topic><topic>Sodium Potassium Chloride Symporter Inhibitors - administration & dosage</topic><topic>Statistical analysis</topic><topic>Survival</topic><topic>Survival analysis</topic><topic>Survival Rate - trends</topic><topic>Time Factors</topic><topic>Treatment Outcome</topic><topic>Urea</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aoki, Soichiro, MD</creatorcontrib><creatorcontrib>Okumura, Takahiro, MD, PhD</creatorcontrib><creatorcontrib>Sawamura, Akinori, MD</creatorcontrib><creatorcontrib>Kitagawa, Katsuhide, MD</creatorcontrib><creatorcontrib>Morimoto, Ryota, MD</creatorcontrib><creatorcontrib>Sakakibara, Masaki, MD, PhD</creatorcontrib><creatorcontrib>Murohara, Toyoaki, MD, PhD</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Databases</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biochemistry Abstracts 1</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>The American journal of cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aoki, Soichiro, MD</au><au>Okumura, Takahiro, MD, PhD</au><au>Sawamura, Akinori, MD</au><au>Kitagawa, Katsuhide, MD</au><au>Morimoto, Ryota, MD</au><au>Sakakibara, Masaki, MD, PhD</au><au>Murohara, Toyoaki, MD, PhD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Usefulness of the Combination of In-Hospital Poor Diuretic Response and Systemic Congestion to Predict Future Cardiac Events in Patients With Acute Decompensated Heart Failure</atitle><jtitle>The American journal of cardiology</jtitle><addtitle>Am J Cardiol</addtitle><date>2017-06-15</date><risdate>2017</risdate><volume>119</volume><issue>12</issue><spage>2010</spage><epage>2016</epage><pages>2010-2016</pages><issn>0002-9149</issn><eissn>1879-1913</eissn><abstract>We aimed to (1) investigate the relation between diuretic response (DR) with or without systemic congestion and prognosis and (2) explore the potential predictors of poor DR for risk stratification in patients with acute decompensated heart failure (ADHF). We enrolled 186 consecutive patients hospitalized for ADHF. The DR was defined as (body weight at discharge − body weight at admission)/40 mg furosemide or equivalent loop diuretic dose. Systemic congestion on admission was simply evaluated by the presence of leg edema or jugular venous distention. All patients were divided into 4 groups based on the median of DR (−0.50 kg/40 mg) and the status of systemic congestion; GR/C (good DR with systemic congestion, n = 66), GR/N (good DR without systemic congestion, n = 27), PR/C (poor DR with systemic congestion, n = 48); and PR/N (poor DR without systemic congestion, n = 45). The composite outcome was defined as cardiac death and rehospitalization for worsening heart failure. In survival analysis, the cardiac event-free rate in PR/C was significantly lower than that in any other groups (log-rank, p <0.001), and PR/C was an independent predictor of cardiac events (hazard ratio 2.17, p = 0.016). In conclusion, the combination of in-hospital poor DR, characterized by previous ischemic heart disease, and prehospital dose of daily loop diuretics, and systemic congestion provides a risk stratification for future cardiac events in patients with ADHF.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>28438307</pmid><doi>10.1016/j.amjcard.2017.03.030</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-5076-2052</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Acute Disease Aged Aged, 80 and over Aldosterone Anemia Angiotensin Antagonists Bioavailability Body weight Cardiology Cardiovascular Cardiovascular disease Congestion Congestive heart failure Continuity (mathematics) Coronary artery disease Creatinine Death Disease Progression Diuretics Dose-Response Relationship, Drug Drugs Echocardiography Edema Edema - drug therapy Edema - epidemiology Edema - etiology Emergencies Emergency medical services Ethics Etiology Female Follow-Up Studies Furosemide Geriatrics Glomerular filtration rate Guidelines Health hazards Heart failure Heart Failure - complications Heart Failure - drug therapy Heart Failure - epidemiology Heart rate Hemoglobin Humans Incidence Inhibitors Inpatients Japan - epidemiology Kidneys Lists Male Mathematical models Medical prognosis Mortality Multivariate analysis Nitrogen Older people Patients Pharmacokinetics Pharmacology Prognosis Regression analysis Retrospective Studies Risk Risk Assessment Sensitivity Sodium Potassium Chloride Symporter Inhibitors - administration & dosage Statistical analysis Survival Survival analysis Survival Rate - trends Time Factors Treatment Outcome Urea Variance analysis |
title | Usefulness of the Combination of In-Hospital Poor Diuretic Response and Systemic Congestion to Predict Future Cardiac Events in Patients With Acute Decompensated Heart Failure |
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