Do gender-based differences in presentation and management influence predictors of hospitalization costs and length of stay after an acute myocardial infarction?
Previous studies have reported conflicting results on gender differences in the management of acute myocardial infarction (AMI) and have not evaluated hospital length of stay or costs. To determine gender-based differences in presentation, management, length of stay, costs, and prognosis after AMI,...
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Veröffentlicht in: | The American journal of cardiology 1995-12, Vol.76 (16), p.1122-1125 |
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creator | Paul, Sumita D. Eagle, Kim A. Guidry, Ursula DiSalvo, Thomas G. Villarreal-Levy, Gerardo Conrad Smith, A.J. O'Donnell, Christopher J. Manjoub, Zakwan A. Muluk, Visala Newell, John B. O'Gara, Patrick T. |
description | Previous studies have reported conflicting results on gender differences in the management of acute myocardial infarction (AMI) and have not evaluated hospital length of stay or costs. To determine gender-based differences in presentation, management, length of stay, costs, and prognosis after AMI, we studied 561 patients with AMI. Women were older, had systemic hypertension, diabetes mellitus, and a non-Q-wave AMI more frequently, whereas more men smoked cigarettes. Predictors of coronary angiography were: male gender (RR 1.9; 95% Cl 1.2 to 3.1), chest pain at presentation (RR 1.8; 95% Cl 1.0 to 3.3), recurrent angina (RR 4.1; 95% Cl 2.5 to 6.8), admission via the emergency room (RR 0.2; 95% Cl 0.1 to 0.3), and younger age. Gender did not predict mortality. Among presenting features, the predictors of length of stay were diabetes, prior coronary bypass and prior coronary angioplasty in men, and age alone in women. Pulmonary edema and need for coronary bypass during the hospital course were predictors of length of stay in men only. Among presenting features, predictors or cost were diabetes in men and congestive heart failure in women. Predictors of cost during hospitalization for men were pulmonary edema, coronary angiography, intraaortic balloon pump use, and coronary bypass; for women, they were peak levels of creatine kinase and coronary bypass. Thus, predictors of length of stay and hospitalization costs differ based on gender. Efforts at cost containment may need to be gender-specific. |
doi_str_mv | 10.1016/S0002-9149(99)80318-X |
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To determine gender-based differences in presentation, management, length of stay, costs, and prognosis after AMI, we studied 561 patients with AMI. Women were older, had systemic hypertension, diabetes mellitus, and a non-Q-wave AMI more frequently, whereas more men smoked cigarettes. Predictors of coronary angiography were: male gender (RR 1.9; 95% Cl 1.2 to 3.1), chest pain at presentation (RR 1.8; 95% Cl 1.0 to 3.3), recurrent angina (RR 4.1; 95% Cl 2.5 to 6.8), admission via the emergency room (RR 0.2; 95% Cl 0.1 to 0.3), and younger age. Gender did not predict mortality. Among presenting features, the predictors of length of stay were diabetes, prior coronary bypass and prior coronary angioplasty in men, and age alone in women. Pulmonary edema and need for coronary bypass during the hospital course were predictors of length of stay in men only. Among presenting features, predictors or cost were diabetes in men and congestive heart failure in women. Predictors of cost during hospitalization for men were pulmonary edema, coronary angiography, intraaortic balloon pump use, and coronary bypass; for women, they were peak levels of creatine kinase and coronary bypass. Thus, predictors of length of stay and hospitalization costs differ based on gender. Efforts at cost containment may need to be gender-specific.</description><identifier>ISSN: 0002-9149</identifier><identifier>EISSN: 1879-1913</identifier><identifier>DOI: 10.1016/S0002-9149(99)80318-X</identifier><identifier>PMID: 7484895</identifier><identifier>CODEN: AJCDAG</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Aged ; Biological and medical sciences ; Cardiology. 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To determine gender-based differences in presentation, management, length of stay, costs, and prognosis after AMI, we studied 561 patients with AMI. Women were older, had systemic hypertension, diabetes mellitus, and a non-Q-wave AMI more frequently, whereas more men smoked cigarettes. Predictors of coronary angiography were: male gender (RR 1.9; 95% Cl 1.2 to 3.1), chest pain at presentation (RR 1.8; 95% Cl 1.0 to 3.3), recurrent angina (RR 4.1; 95% Cl 2.5 to 6.8), admission via the emergency room (RR 0.2; 95% Cl 0.1 to 0.3), and younger age. Gender did not predict mortality. Among presenting features, the predictors of length of stay were diabetes, prior coronary bypass and prior coronary angioplasty in men, and age alone in women. Pulmonary edema and need for coronary bypass during the hospital course were predictors of length of stay in men only. Among presenting features, predictors or cost were diabetes in men and congestive heart failure in women. Predictors of cost during hospitalization for men were pulmonary edema, coronary angiography, intraaortic balloon pump use, and coronary bypass; for women, they were peak levels of creatine kinase and coronary bypass. Thus, predictors of length of stay and hospitalization costs differ based on gender. Efforts at cost containment may need to be gender-specific.</description><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Cardiology. Vascular system</subject><subject>Cardiovascular disease</subject><subject>Coronary Angiography</subject><subject>Coronary heart disease</subject><subject>Emergency Service, Hospital - economics</subject><subject>Female</subject><subject>Health care expenditures</subject><subject>Heart</subject><subject>Hospital Charges</subject><subject>Hospital Costs</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Length of Stay</subject><subject>Male</subject><subject>Medical research</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Myocardial Infarction - diagnosis</subject><subject>Myocardial Infarction - economics</subject><subject>Myocardial Infarction - mortality</subject><subject>Myocardial Infarction - therapy</subject><subject>Prognosis</subject><subject>Risk Factors</subject><subject>Sex Factors</subject><subject>Survival Rate</subject><issn>0002-9149</issn><issn>1879-1913</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1995</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc-KFDEYxIMo67r6CAtBRPTQmnQ63clpkfUvLHhQYW8h_fXXs1m6kzFJC-Pb-KZ2ZoY5ePEUkvpVUaQIueTsDWe8ffuNMVZXmjf6ldavFRNcVbcPyDlXna645uIhOT8hj8mTlO7XK-eyPSNnXaMapeU5-fM-0A36AWPV24QDHdw4YkQPmKjzdBsxoc82u-Cp9QOdrbcbnNe3VR6npZCFGhzkEBMNI70Laeuyndzvgw1CymlvntBv8l1hUrY7aseMcRWohSUjnXcBbBycnUq0jVDcV0_Jo9FOCZ8dzwvy4-OH79efq5uvn75cv7upoGlkrgCYgA56VXfCcilUL2SHsm27RkgmOUiuQPQIYkTdMws16IGBUi0WnokL8vKQu43h54Ipm9klwGmyHsOSTNe1mqlGr-Dzf8D7sES_djO1YEJKpkqaPEAQQ0oRR7ONbrZxZzgzZT-z38-UcYzWZr-fuV19l8fwpZ9xOLmOg636i6NuE9hpjNaDSyes1qKpdel4dcBw_bFfDqNJ4MpUg4sI2QzB_afIX56Gunk</recordid><startdate>19951201</startdate><enddate>19951201</enddate><creator>Paul, Sumita D.</creator><creator>Eagle, Kim A.</creator><creator>Guidry, Ursula</creator><creator>DiSalvo, Thomas G.</creator><creator>Villarreal-Levy, Gerardo</creator><creator>Conrad Smith, A.J.</creator><creator>O'Donnell, Christopher J.</creator><creator>Manjoub, Zakwan A.</creator><creator>Muluk, Visala</creator><creator>Newell, John B.</creator><creator>O'Gara, Patrick T.</creator><general>Elsevier Inc</general><general>Elsevier</general><general>Elsevier Limited</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>7TS</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>M7Z</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>19951201</creationdate><title>Do gender-based differences in presentation and management influence predictors of hospitalization costs and length of stay after an acute myocardial infarction?</title><author>Paul, Sumita D. ; Eagle, Kim A. ; Guidry, Ursula ; DiSalvo, Thomas G. ; Villarreal-Levy, Gerardo ; Conrad Smith, A.J. ; O'Donnell, Christopher J. ; Manjoub, Zakwan A. ; Muluk, Visala ; Newell, John B. ; O'Gara, Patrick T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c445t-cc03c7cb8273a1538b357e5667435051c518c3bec3fe9b0ac2c9d0c886e3a1503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1995</creationdate><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Cardiology. Vascular system</topic><topic>Cardiovascular disease</topic><topic>Coronary Angiography</topic><topic>Coronary heart disease</topic><topic>Emergency Service, Hospital - economics</topic><topic>Female</topic><topic>Health care expenditures</topic><topic>Heart</topic><topic>Hospital Charges</topic><topic>Hospital Costs</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Length of Stay</topic><topic>Male</topic><topic>Medical research</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Myocardial Infarction - diagnosis</topic><topic>Myocardial Infarction - economics</topic><topic>Myocardial Infarction - mortality</topic><topic>Myocardial Infarction - therapy</topic><topic>Prognosis</topic><topic>Risk Factors</topic><topic>Sex Factors</topic><topic>Survival Rate</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Paul, Sumita D.</creatorcontrib><creatorcontrib>Eagle, Kim A.</creatorcontrib><creatorcontrib>Guidry, Ursula</creatorcontrib><creatorcontrib>DiSalvo, Thomas G.</creatorcontrib><creatorcontrib>Villarreal-Levy, Gerardo</creatorcontrib><creatorcontrib>Conrad Smith, A.J.</creatorcontrib><creatorcontrib>O'Donnell, Christopher J.</creatorcontrib><creatorcontrib>Manjoub, Zakwan A.</creatorcontrib><creatorcontrib>Muluk, Visala</creatorcontrib><creatorcontrib>Newell, John B.</creatorcontrib><creatorcontrib>O'Gara, Patrick T.</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>Physical Education Index</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</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>Paul, Sumita D.</au><au>Eagle, Kim A.</au><au>Guidry, Ursula</au><au>DiSalvo, Thomas G.</au><au>Villarreal-Levy, Gerardo</au><au>Conrad Smith, A.J.</au><au>O'Donnell, Christopher J.</au><au>Manjoub, Zakwan A.</au><au>Muluk, Visala</au><au>Newell, John B.</au><au>O'Gara, Patrick T.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Do gender-based differences in presentation and management influence predictors of hospitalization costs and length of stay after an acute myocardial infarction?</atitle><jtitle>The American journal of cardiology</jtitle><addtitle>Am J Cardiol</addtitle><date>1995-12-01</date><risdate>1995</risdate><volume>76</volume><issue>16</issue><spage>1122</spage><epage>1125</epage><pages>1122-1125</pages><issn>0002-9149</issn><eissn>1879-1913</eissn><coden>AJCDAG</coden><abstract>Previous studies have reported conflicting results on gender differences in the management of acute myocardial infarction (AMI) and have not evaluated hospital length of stay or costs. To determine gender-based differences in presentation, management, length of stay, costs, and prognosis after AMI, we studied 561 patients with AMI. Women were older, had systemic hypertension, diabetes mellitus, and a non-Q-wave AMI more frequently, whereas more men smoked cigarettes. Predictors of coronary angiography were: male gender (RR 1.9; 95% Cl 1.2 to 3.1), chest pain at presentation (RR 1.8; 95% Cl 1.0 to 3.3), recurrent angina (RR 4.1; 95% Cl 2.5 to 6.8), admission via the emergency room (RR 0.2; 95% Cl 0.1 to 0.3), and younger age. Gender did not predict mortality. Among presenting features, the predictors of length of stay were diabetes, prior coronary bypass and prior coronary angioplasty in men, and age alone in women. Pulmonary edema and need for coronary bypass during the hospital course were predictors of length of stay in men only. Among presenting features, predictors or cost were diabetes in men and congestive heart failure in women. Predictors of cost during hospitalization for men were pulmonary edema, coronary angiography, intraaortic balloon pump use, and coronary bypass; for women, they were peak levels of creatine kinase and coronary bypass. Thus, predictors of length of stay and hospitalization costs differ based on gender. Efforts at cost containment may need to be gender-specific.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>7484895</pmid><doi>10.1016/S0002-9149(99)80318-X</doi><tpages>4</tpages></addata></record> |
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subjects | Aged Biological and medical sciences Cardiology. Vascular system Cardiovascular disease Coronary Angiography Coronary heart disease Emergency Service, Hospital - economics Female Health care expenditures Heart Hospital Charges Hospital Costs Hospitals Humans Length of Stay Male Medical research Medical sciences Middle Aged Myocardial Infarction - diagnosis Myocardial Infarction - economics Myocardial Infarction - mortality Myocardial Infarction - therapy Prognosis Risk Factors Sex Factors Survival Rate |
title | Do gender-based differences in presentation and management influence predictors of hospitalization costs and length of stay after an acute myocardial infarction? |
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