Vital exhaustion and cardiovascular prognosis in myocardial infarction and heart failure: predictive power of different trajectories
We examined the different trajectories of vital exhaustion (VE) over a 12-month period and their impact on prognosis in a sample of myocardial infarction (MI) and chronic heart failure (CHF) patients. Consecutive MI (n=407) and CHF patients (n=297) were assessed at baseline, and at 3- and 12-month f...
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description | We examined the different trajectories of vital exhaustion (VE) over a 12-month period and their impact on prognosis in a sample of myocardial infarction (MI) and chronic heart failure (CHF) patients.
Consecutive MI (n=407) and CHF patients (n=297) were assessed at baseline, and at 3- and 12-month follow-up for symptoms of VE. Latent growth mixture modelling was used to examine the course of VE over time. The combined clinical endpoint was defined as cardiac hospital readmission or death.
Four distinct trajectories for VE were found: low VE, decreasing VE, increasing VE, and severe VE. Sex, marital status, left ventricular ejection fraction, psychotropic medication, sample group (CHF v. MI) and depressive symptoms were associated with VE, varying according to classes. The mean follow-up period was 25.3 months in which 34.7% of the patients experienced an event. Multivariate Cox regression showed that, compared with patients in the low VE class, patients in the increasing VE class [hazard ratio (HR)=1.16, 95% confidence interval (CI) 1.58-3.61, p=0.01], and the severe VE class (HR=1.69, 95% CI 1.31-2.64, p=0.02) had an increased risk for adverse cardiovascular events (i.e. cardiovascular hospital readmission or cardiovascular death). Decreasing VE was not related to adverse cardiovascular events (HR=0.97, 95% CI 0.66-1.69, p=0.81).
VE trajectories varied across cardiac patients, and had a differential effect on cardiovascular outcome. Increasing VE and severe VE classes were predictors of poor cardiovascular prognosis. These results suggest that identification of cardiac patients with an increased risk of adverse health outcomes should be based on multiple assessments of VE. |
doi_str_mv | 10.1017/S0033291710001133 |
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Consecutive MI (n=407) and CHF patients (n=297) were assessed at baseline, and at 3- and 12-month follow-up for symptoms of VE. Latent growth mixture modelling was used to examine the course of VE over time. The combined clinical endpoint was defined as cardiac hospital readmission or death.
Four distinct trajectories for VE were found: low VE, decreasing VE, increasing VE, and severe VE. Sex, marital status, left ventricular ejection fraction, psychotropic medication, sample group (CHF v. MI) and depressive symptoms were associated with VE, varying according to classes. The mean follow-up period was 25.3 months in which 34.7% of the patients experienced an event. Multivariate Cox regression showed that, compared with patients in the low VE class, patients in the increasing VE class [hazard ratio (HR)=1.16, 95% confidence interval (CI) 1.58-3.61, p=0.01], and the severe VE class (HR=1.69, 95% CI 1.31-2.64, p=0.02) had an increased risk for adverse cardiovascular events (i.e. cardiovascular hospital readmission or cardiovascular death). Decreasing VE was not related to adverse cardiovascular events (HR=0.97, 95% CI 0.66-1.69, p=0.81).
VE trajectories varied across cardiac patients, and had a differential effect on cardiovascular outcome. Increasing VE and severe VE classes were predictors of poor cardiovascular prognosis. These results suggest that identification of cardiac patients with an increased risk of adverse health outcomes should be based on multiple assessments of VE.</description><identifier>ISSN: 0033-2917</identifier><identifier>EISSN: 1469-8978</identifier><identifier>DOI: 10.1017/S0033291710001133</identifier><identifier>PMID: 20553635</identifier><identifier>CODEN: PSMDCO</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Adult and adolescent clinical studies ; Aged ; Apathy ; Biological and medical sciences ; Cardiac surgery ; Cardiology. Vascular system ; Cardiovascular disease ; Coronary heart disease ; Depression ; Depression - diagnosis ; Depression - psychology ; Fatigue ; Fatigue - diagnosis ; Fatigue - mortality ; Fatigue - psychology ; Female ; Follow-Up Studies ; Heart ; Heart failure ; Heart Failure - diagnosis ; Heart Failure - mortality ; Heart Failure - psychology ; Heart failure, cardiogenic pulmonary edema, cardiac enlargement ; Hospitals ; Humans ; Male ; Medical prognosis ; Medical sciences ; Middle Aged ; Models, Psychological ; Mood disorders ; Myocardial Infarction - diagnosis ; Myocardial Infarction - mortality ; Myocardial Infarction - psychology ; Myocarditis. Cardiomyopathies ; Netherlands ; Patient Readmission ; Patients ; Prognosis ; Psychology. Psychoanalysis. Psychiatry ; Psychopathology. Psychiatry ; Readmission ; Risk Assessment ; Statistics as Topic ; Surveys and Questionnaires ; Survival Analysis</subject><ispartof>Psychological medicine, 2011-04, Vol.41 (4), p.731-738</ispartof><rights>Copyright © Cambridge University Press 2010</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c508t-65b6cdf226f6b8e32d24b5d52072ec36a01abc1c39c6a5c10dc095c43f9e476a3</citedby><cites>FETCH-LOGICAL-c508t-65b6cdf226f6b8e32d24b5d52072ec36a01abc1c39c6a5c10dc095c43f9e476a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0033291710001133/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,314,776,780,12825,27901,27902,30976,30977,55603</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23924619$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20553635$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Smith, O. R. F.</creatorcontrib><creatorcontrib>Kupper, N.</creatorcontrib><creatorcontrib>Denollet, J.</creatorcontrib><creatorcontrib>de Jonge, P.</creatorcontrib><title>Vital exhaustion and cardiovascular prognosis in myocardial infarction and heart failure: predictive power of different trajectories</title><title>Psychological medicine</title><addtitle>Psychol Med</addtitle><description>We examined the different trajectories of vital exhaustion (VE) over a 12-month period and their impact on prognosis in a sample of myocardial infarction (MI) and chronic heart failure (CHF) patients.
Consecutive MI (n=407) and CHF patients (n=297) were assessed at baseline, and at 3- and 12-month follow-up for symptoms of VE. Latent growth mixture modelling was used to examine the course of VE over time. The combined clinical endpoint was defined as cardiac hospital readmission or death.
Four distinct trajectories for VE were found: low VE, decreasing VE, increasing VE, and severe VE. Sex, marital status, left ventricular ejection fraction, psychotropic medication, sample group (CHF v. MI) and depressive symptoms were associated with VE, varying according to classes. The mean follow-up period was 25.3 months in which 34.7% of the patients experienced an event. Multivariate Cox regression showed that, compared with patients in the low VE class, patients in the increasing VE class [hazard ratio (HR)=1.16, 95% confidence interval (CI) 1.58-3.61, p=0.01], and the severe VE class (HR=1.69, 95% CI 1.31-2.64, p=0.02) had an increased risk for adverse cardiovascular events (i.e. cardiovascular hospital readmission or cardiovascular death). Decreasing VE was not related to adverse cardiovascular events (HR=0.97, 95% CI 0.66-1.69, p=0.81).
VE trajectories varied across cardiac patients, and had a differential effect on cardiovascular outcome. Increasing VE and severe VE classes were predictors of poor cardiovascular prognosis. These results suggest that identification of cardiac patients with an increased risk of adverse health outcomes should be based on multiple assessments of VE.</description><subject>Adult and adolescent clinical studies</subject><subject>Aged</subject><subject>Apathy</subject><subject>Biological and medical sciences</subject><subject>Cardiac surgery</subject><subject>Cardiology. Vascular system</subject><subject>Cardiovascular disease</subject><subject>Coronary heart disease</subject><subject>Depression</subject><subject>Depression - diagnosis</subject><subject>Depression - psychology</subject><subject>Fatigue</subject><subject>Fatigue - diagnosis</subject><subject>Fatigue - mortality</subject><subject>Fatigue - psychology</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Heart</subject><subject>Heart failure</subject><subject>Heart Failure - diagnosis</subject><subject>Heart Failure - mortality</subject><subject>Heart Failure - psychology</subject><subject>Heart failure, cardiogenic pulmonary edema, cardiac enlargement</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Male</subject><subject>Medical prognosis</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Models, Psychological</subject><subject>Mood disorders</subject><subject>Myocardial Infarction - diagnosis</subject><subject>Myocardial Infarction - mortality</subject><subject>Myocardial Infarction - psychology</subject><subject>Myocarditis. Cardiomyopathies</subject><subject>Netherlands</subject><subject>Patient Readmission</subject><subject>Patients</subject><subject>Prognosis</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychopathology. Psychiatry</subject><subject>Readmission</subject><subject>Risk Assessment</subject><subject>Statistics as Topic</subject><subject>Surveys and Questionnaires</subject><subject>Survival Analysis</subject><issn>0033-2917</issn><issn>1469-8978</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkUtv1DAUhS0EokPhB7BBFhJiFfAjdmJ2qOIlVWLBYxvd2NetR4k92Emhe344Hjq0Egh1dRfnO_d1CHnM2QvOePfyE2NSCsM7zhjjXMo7ZMNbbZredP1dstnLzV4_Ig9K2VZG8lbcJ0eCKSW1VBvy82tYYKL44xzWsoQUKURHLWQX0gUUu06Q6S6ns5hKKDREOl-m33J1hegh22vXOUJeqIcwrRlfVRe6UNULpLv0HTNNnrrgPWaMC10ybNEuKQcsD8k9D1PBR4d6TL68ffP55H1z-vHdh5PXp41VrF8arUZtnRdCez32KIUT7aicEqwTaKUGxmG03EpjNSjLmbPMKNtKb7DtNMhj8vyqbz3o24plGeZQLE4TRExrGQxrW636-sjbyF73QnAu2O2kksZII1Qln_5FbtOaYz14D9U0uNAV4leQzamUjH7Y5TBDvhw4G_ahD_-EXj1PDo3XcUZ37fiTcgWeHYCaKEw-Q7Sh3HB1vVZzUzl5GA7zmIM7w5sV_z_-F1_SxME</recordid><startdate>20110401</startdate><enddate>20110401</enddate><creator>Smith, O. 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F.</creator><creator>Kupper, N.</creator><creator>Denollet, J.</creator><creator>de Jonge, P.</creator><general>Cambridge University Press</general><scope>IQODW</scope><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>0-V</scope><scope>3V.</scope><scope>7QJ</scope><scope>7QP</scope><scope>7QR</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</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>HEHIP</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>M2S</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>7U1</scope><scope>7U2</scope><scope>C1K</scope></search><sort><creationdate>20110401</creationdate><title>Vital exhaustion and cardiovascular prognosis in myocardial infarction and heart failure: predictive power of different trajectories</title><author>Smith, O. R. F. ; Kupper, N. ; Denollet, J. ; de Jonge, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c508t-65b6cdf226f6b8e32d24b5d52072ec36a01abc1c39c6a5c10dc095c43f9e476a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adult and adolescent clinical studies</topic><topic>Aged</topic><topic>Apathy</topic><topic>Biological and medical sciences</topic><topic>Cardiac surgery</topic><topic>Cardiology. Vascular system</topic><topic>Cardiovascular disease</topic><topic>Coronary heart disease</topic><topic>Depression</topic><topic>Depression - diagnosis</topic><topic>Depression - psychology</topic><topic>Fatigue</topic><topic>Fatigue - diagnosis</topic><topic>Fatigue - mortality</topic><topic>Fatigue - psychology</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Heart</topic><topic>Heart failure</topic><topic>Heart Failure - diagnosis</topic><topic>Heart Failure - mortality</topic><topic>Heart Failure - psychology</topic><topic>Heart failure, cardiogenic pulmonary edema, cardiac enlargement</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Male</topic><topic>Medical prognosis</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Models, Psychological</topic><topic>Mood disorders</topic><topic>Myocardial Infarction - diagnosis</topic><topic>Myocardial Infarction - mortality</topic><topic>Myocardial Infarction - psychology</topic><topic>Myocarditis. Cardiomyopathies</topic><topic>Netherlands</topic><topic>Patient Readmission</topic><topic>Patients</topic><topic>Prognosis</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychopathology. Psychiatry</topic><topic>Readmission</topic><topic>Risk Assessment</topic><topic>Statistics as Topic</topic><topic>Surveys and Questionnaires</topic><topic>Survival Analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Smith, O. R. F.</creatorcontrib><creatorcontrib>Kupper, N.</creatorcontrib><creatorcontrib>Denollet, J.</creatorcontrib><creatorcontrib>de Jonge, P.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</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>Sociology Collection</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>ProQuest Psychology</collection><collection>Research Library</collection><collection>Sociology Database</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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Psychological medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Smith, O. R. F.</au><au>Kupper, N.</au><au>Denollet, J.</au><au>de Jonge, P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Vital exhaustion and cardiovascular prognosis in myocardial infarction and heart failure: predictive power of different trajectories</atitle><jtitle>Psychological medicine</jtitle><addtitle>Psychol Med</addtitle><date>2011-04-01</date><risdate>2011</risdate><volume>41</volume><issue>4</issue><spage>731</spage><epage>738</epage><pages>731-738</pages><issn>0033-2917</issn><eissn>1469-8978</eissn><coden>PSMDCO</coden><abstract>We examined the different trajectories of vital exhaustion (VE) over a 12-month period and their impact on prognosis in a sample of myocardial infarction (MI) and chronic heart failure (CHF) patients.
Consecutive MI (n=407) and CHF patients (n=297) were assessed at baseline, and at 3- and 12-month follow-up for symptoms of VE. Latent growth mixture modelling was used to examine the course of VE over time. The combined clinical endpoint was defined as cardiac hospital readmission or death.
Four distinct trajectories for VE were found: low VE, decreasing VE, increasing VE, and severe VE. Sex, marital status, left ventricular ejection fraction, psychotropic medication, sample group (CHF v. MI) and depressive symptoms were associated with VE, varying according to classes. The mean follow-up period was 25.3 months in which 34.7% of the patients experienced an event. Multivariate Cox regression showed that, compared with patients in the low VE class, patients in the increasing VE class [hazard ratio (HR)=1.16, 95% confidence interval (CI) 1.58-3.61, p=0.01], and the severe VE class (HR=1.69, 95% CI 1.31-2.64, p=0.02) had an increased risk for adverse cardiovascular events (i.e. cardiovascular hospital readmission or cardiovascular death). Decreasing VE was not related to adverse cardiovascular events (HR=0.97, 95% CI 0.66-1.69, p=0.81).
VE trajectories varied across cardiac patients, and had a differential effect on cardiovascular outcome. Increasing VE and severe VE classes were predictors of poor cardiovascular prognosis. These results suggest that identification of cardiac patients with an increased risk of adverse health outcomes should be based on multiple assessments of VE.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>20553635</pmid><doi>10.1017/S0033291710001133</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult and adolescent clinical studies Aged Apathy Biological and medical sciences Cardiac surgery Cardiology. Vascular system Cardiovascular disease Coronary heart disease Depression Depression - diagnosis Depression - psychology Fatigue Fatigue - diagnosis Fatigue - mortality Fatigue - psychology Female Follow-Up Studies Heart Heart failure Heart Failure - diagnosis Heart Failure - mortality Heart Failure - psychology Heart failure, cardiogenic pulmonary edema, cardiac enlargement Hospitals Humans Male Medical prognosis Medical sciences Middle Aged Models, Psychological Mood disorders Myocardial Infarction - diagnosis Myocardial Infarction - mortality Myocardial Infarction - psychology Myocarditis. Cardiomyopathies Netherlands Patient Readmission Patients Prognosis Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Readmission Risk Assessment Statistics as Topic Surveys and Questionnaires Survival Analysis |
title | Vital exhaustion and cardiovascular prognosis in myocardial infarction and heart failure: predictive power of different trajectories |
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