Socioeconomic Status, Functional Recovery, and Long-Term Mortality among Patients Surviving Acute Myocardial Infarction
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{"title"=>"Socioeconomic Status, Functional Recovery, and Long-Term Mortality among Patients Surviving Acute Myocardial Infarction", "type"=>"journal", "authors"=>[{"first_name"=>"David A.", "last_name"=>"Alter", "scopus_author_id"=>"35309419400"}, {"first_name"=>"Barry", "last_name"=>"Franklin", "scopus_author_id"=>"34975083800"}, {"first_name"=>"Dennis T.", "last_name"=>"Ko", "scopus_author_id"=>"7103246001"}, {"first_name"=>"Peter C.", "last_name"=>"Austin", "scopus_author_id"=>"7101795555"}, {"first_name"=>"Douglas S.", "last_name"=>"Lee", "scopus_author_id"=>"8219745600"}, {"first_name"=>"Paul I.", "last_name"=>"Oh", "scopus_author_id"=>"7006672637"}, {"first_name"=>"Therese A.", "last_name"=>"Stukel", "scopus_author_id"=>"7005118000"}, {"first_name"=>"Jack V.", "last_name"=>"Tu", "scopus_author_id"=>"7202821388"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"369060152", "issn"=>"19326203", "isbn"=>"1932-6203", "doi"=>"10.1371/journal.pone.0065130", "scopus"=>"2-s2.0-84878645596", "pmid"=>"23755180", "sgr"=>"84878645596"}, "id"=>"3d63e56f-628d-3b7a-8a1e-2e754d605a35", "abstract"=>"Objectives: To examine the relationship between socio-economic status (SES), functional recovery and long-term mortality following acute myocardial infarction (AMI). Background: The extent to which SES mortality disparities are explained by differences in functional recovery following AMI is unclear.", "link"=>"http://www.mendeley.com/research/socioeconomic-status-functional-recovery-longterm-mortality-among-patients-surviving-acute-myocardia", "reader_count"=>34, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Researcher"=>6, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>8, "Student > Postgraduate"=>2, "Student > Master"=>4, "Student > Bachelor"=>4, "Lecturer"=>3}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Researcher"=>6, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>8, "Student > Postgraduate"=>2, "Student > Master"=>4, "Student > Bachelor"=>4, "Lecturer"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Materials Science"=>1, "Medicine and Dentistry"=>13, "Sports and Recreations"=>3, "Business, Management and Accounting"=>1, "Psychology"=>7, "Social Sciences"=>5, "Linguistics"=>1}, "reader_count_by_subdiscipline"=>{"Materials Science"=>{"Materials Science"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>13}, "Social Sciences"=>{"Social Sciences"=>5}, "Sports and Recreations"=>{"Sports and Recreations"=>3}, "Psychology"=>{"Psychology"=>7}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Linguistics"=>{"Linguistics"=>1}, "Unspecified"=>{"Unspecified"=>3}}, "reader_count_by_country"=>{"United Kingdom"=>2}, "group_count"=>6}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1073358"], "description"=>"<p>Health service delivery according to income tertile during the year following AMI hospitalization.</p>", "links"=>[], "tags"=>["Population biology", "epidemiology", "Economic epidemiology", "cardiovascular", "Myocardial infarction", "Clinical research design", "Cardiovascular disease epidemiology", "Non-clinical medicine", "Socioeconomic aspects of health", "Public health", "Behavioral and social aspects of health", "Sports and exercise medicine", "tertile", "ami"], "article_id"=>710816, "categories"=>["Medicine", "Biological Sciences"], "users"=>["David A. Alter", "Barry Franklin", "Dennis T. Ko", "Peter C. Austin", "Douglas S. Lee", "Paul I. Oh", "Thérèse A. Stukel", "Jack V. Tu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0065130.t003", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Health_service_delivery_according_to_income_tertile_during_the_year_following_AMI_hospitalization_/710816", "title"=>"Health service delivery according to income tertile during the year following AMI hospitalization.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-06-03 00:13:36"}
  • {"files"=>["https://ndownloader.figshare.com/files/1073354"], "description"=>"<p>Function recovery according to income tertile among patients referred to cardiac rehabilitation (<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0065130#pone-0065130-g001\" target=\"_blank\">Figure 1a</a>), not referred to cardiac rehabilitation (<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0065130#pone-0065130-g001\" target=\"_blank\">Figure 1b</a>), seen by a cardiologist in follow-up (<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0065130#pone-0065130-g001\" target=\"_blank\">Figure 1</a>), not seen by a cardiologist in follow-up (<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0065130#pone-0065130-g001\" target=\"_blank\">Figure 1d</a>).</p>", "links"=>[], "tags"=>["Population biology", "epidemiology", "Economic epidemiology", "cardiovascular", "Myocardial infarction", "Clinical research design", "Cardiovascular disease epidemiology", "Non-clinical medicine", "Socioeconomic aspects of health", "Public health", "Behavioral and social aspects of health", "Sports and exercise medicine", "tertile", "patients", "referred", "cardiac", "seen", "cardiologist", "follow-up"], "article_id"=>710814, "categories"=>["Medicine", "Biological Sciences"], "users"=>["David A. Alter", "Barry Franklin", "Dennis T. Ko", "Peter C. Austin", "Douglas S. Lee", "Paul I. Oh", "Thérèse A. Stukel", "Jack V. Tu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0065130.g001", "stats"=>{"downloads"=>3, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Function_recovery_according_to_income_tertile_among_patients_referred_to_cardiac_rehabilitation_Figure_1a_not_referred_to_cardiac_rehabilitation_Figure_1b_seen_by_a_cardiologist_in_follow_up_Figure_1_not_seen_by_a_cardiologist_in_follow_up_Figure_1d_/710814", "title"=>"Function recovery according to income tertile among patients referred to cardiac rehabilitation (Figure 1a), not referred to cardiac rehabilitation (Figure 1b), seen by a cardiologist in follow-up (Figure 1), not seen by a cardiologist in follow-up (Figure 1d).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-03 00:13:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/1073361"], "description"=>"i<p>Functional recovery was defined using self-reported DASI score. Statistical survival models incorporated Cox Proportional hazards and adjusted for clinical and process factors using backward stepwise regression.</p>ii<p>The unadjusted mortality model examines the crude relationship between income and long-term mortality with no adjustment for any concomitant factors.</p>iii<p>Overall wealth-mortality gradient examines income in tertiles but with one degree of freedom.</p>iv<p>The partially adjusted mortality model examines the relationship between income and long-term mortality after adjustments for age, sex, education, ethnicity, rurality, predicted 6 month mortality from the time of hospitalization, hypertension, diabetes, hyperlipidemia, comorbidities, smoking history, social isolation, history of depression, depression at 30-days, depression change between 30-days and 1-year, quality of life (SF-12) at 30-days and changes between 30-days and 1-year, chronic stress at 30-days and changes between 30-days and 1-year, Percutaneous Coronary Intervention within 1 year of hospitalization, Coronary artery bypass surgery within 1 year of hospitalization, physician visits (cardiologist, internal medicine and general practitioner), cardiac rehabilitation referral. as well as pharmacotherapies (beta-blockers, statins, ACE inhibitors, aspirin, nitrates) at hospital discharge, 30-days, and 1 year post-MI.</p>v<p>All factors included in the partially adjusted mortality model+functional capacity at 30-days and changes in functional capacity between 30-days and 1-year.</p>", "links"=>[], "tags"=>["Population biology", "epidemiology", "Economic epidemiology", "cardiovascular", "Myocardial infarction", "Clinical research design", "Cardiovascular disease epidemiology", "Non-clinical medicine", "Socioeconomic aspects of health", "Public health", "Behavioral and social aspects of health", "Sports and exercise medicine", "sequential", "adjustments", "one-year"], "article_id"=>710819, "categories"=>["Medicine", "Biological Sciences"], "users"=>["David A. Alter", "Barry Franklin", "Dennis T. Ko", "Peter C. Austin", "Douglas S. Lee", "Paul I. Oh", "Thérèse A. Stukel", "Jack V. Tu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0065130.t004", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_relationship_between_income_and_long_term_survival_after_sequential_adjustments_for_factors_associated_with_one_year_recovery_i_/710819", "title"=>"The relationship between income and long-term survival after sequential adjustments for factors associated with one-year recovery<sup>i</sup>.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-06-03 00:13:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/1073360"], "description"=>"<p>Baseline characteristics of study participants according to income tertile.</p>", "links"=>[], "tags"=>["Population biology", "epidemiology", "Economic epidemiology", "cardiovascular", "Myocardial infarction", "Clinical research design", "Cardiovascular disease epidemiology", "Non-clinical medicine", "Socioeconomic aspects of health", "Public health", "Behavioral and social aspects of health", "Sports and exercise medicine"], "article_id"=>710818, "categories"=>["Medicine", "Biological Sciences"], "users"=>["David A. Alter", "Barry Franklin", "Dennis T. Ko", "Peter C. Austin", "Douglas S. Lee", "Paul I. Oh", "Thérèse A. Stukel", "Jack V. Tu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0065130.t001", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Baseline_characteristics_of_study_participants_according_to_income_tertile_/710818", "title"=>"Baseline characteristics of study participants according to income tertile.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-06-03 00:13:38"}
  • {"files"=>["https://ndownloader.figshare.com/files/1073362"], "description"=>"<div><p>Objectives</p><p>To examine the relationship between socio-economic status (SES), functional recovery and long-term mortality following acute myocardial infarction (AMI).</p><p>Background</p><p>The extent to which SES mortality disparities are explained by differences in functional recovery following AMI is unclear.</p><p>Methods</p><p>We prospectively examined 1368 patients who survived at least one-year following an index AMI between 1999 and 2003 in Ontario, Canada. Each patient was linked to administrative data and followed over 9.6 years to track mortality. All patients underwent medical chart abstraction and telephone interviews following AMI to identify individual-level SES, clinical factors, processes of care (i.e., use of, and adherence, to evidence-based medications, physician visits, invasive cardiac procedures, referrals to cardiac rehabilitation), as well as changes in psychosocial stressors, quality of life, and self-reported functional capacity.</p><p>Results</p><p>As compared with their lower SES counterparts, higher SES patients experienced greater functional recovery (1.80 ml/kg/min average increase in peak V02, P<0.001) after adjusting for all baseline clinical factors. Post-AMI functional recovery was the strongest modifiable predictor of long-term mortality (Adjusted HR for each ml/kg/min increase in functional capacity: 0.91; 95% CI: 0.87–0.94, P<0.001) irrespective of SES (P = 0.51 for interaction between SES, functional recovery, and mortality). SES-mortality associations were attenuated by 27% after adjustments for functional recovery, rendering the residual SES-mortality association no longer statistically significant (Adjusted HR: 0.84; 95% CI:0.70–1.00, P = 0.05). The effects of functional recovery on SES-mortality associations were not explained by access inequities to physician specialists or cardiac rehabilitation.</p><p>Conclusions</p><p>Functional recovery may play an important role in explaining SES-mortality gradients following AMI.</p></div>", "links"=>[], "tags"=>["Population biology", "epidemiology", "Economic epidemiology", "cardiovascular", "Myocardial infarction", "Clinical research design", "Cardiovascular disease epidemiology", "Non-clinical medicine", "Socioeconomic aspects of health", "Public health", "Behavioral and social aspects of health", "Sports and exercise medicine", "patients", "surviving", "acute", "myocardial"], "article_id"=>710820, "categories"=>["Medicine", "Biological Sciences"], "users"=>["David A. Alter", "Barry Franklin", "Dennis T. Ko", "Peter C. Austin", "Douglas S. Lee", "Paul I. Oh", "Thérèse A. Stukel", "Jack V. Tu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0065130", "stats"=>{"downloads"=>3, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Socioeconomic_Status_Functional_Recovery_and_Long_Term_Mortality_among_Patients_Surviving_Acute_Myocardial_Infarction_/710820", "title"=>"Socioeconomic Status, Functional Recovery, and Long-Term Mortality among Patients Surviving Acute Myocardial Infarction", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-06-03 00:13:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/1073359"], "description"=>"<p>Functional recovery, depression, psychosocial stress, emotional and physical well-being according to income tertile during the year following AMI hospitalization.</p>", "links"=>[], "tags"=>["Population biology", "epidemiology", "Economic epidemiology", "cardiovascular", "Myocardial infarction", "Clinical research design", "Cardiovascular disease epidemiology", "Non-clinical medicine", "Socioeconomic aspects of health", "Public health", "Behavioral and social aspects of health", "Sports and exercise medicine", "psychosocial", "tertile", "ami"], "article_id"=>710817, "categories"=>["Medicine", "Biological Sciences"], "users"=>["David A. Alter", "Barry Franklin", "Dennis T. Ko", "Peter C. Austin", "Douglas S. Lee", "Paul I. Oh", "Thérèse A. Stukel", "Jack V. Tu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0065130.t002", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Functional_recovery_depression_psychosocial_stress_emotional_and_physical_well_being_according_to_income_tertile_during_the_year_following_AMI_hospitalization_/710817", "title"=>"Functional recovery, depression, psychosocial stress, emotional and physical well-being according to income tertile during the year following AMI hospitalization.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-06-03 00:13:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/1073355"], "description"=>"<p>Relationship between functional recovery (i.e., % 1-year changes in self-reported peak VO<sub>2)</sub> and expected 10-year mortality according to income after risk-adjustment for all remaining factors.</p>", "links"=>[], "tags"=>["Population biology", "epidemiology", "Economic epidemiology", "cardiovascular", "Myocardial infarction", "Clinical research design", "Cardiovascular disease epidemiology", "Non-clinical medicine", "Socioeconomic aspects of health", "Public health", "Behavioral and social aspects of health", "Sports and exercise medicine", "1-year", "self-reported", "10-year", "risk-adjustment"], "article_id"=>710815, "categories"=>["Medicine", "Biological Sciences"], "users"=>["David A. Alter", "Barry Franklin", "Dennis T. Ko", "Peter C. Austin", "Douglas S. Lee", "Paul I. Oh", "Thérèse A. Stukel", "Jack V. Tu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0065130.g002", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Relationship_between_functional_recovery_i_e_1_year_changes_in_self_reported_peak_VO_2_and_expected_10_year_mortality_according_to_income_after_risk_adjustment_for_all_remaining_factors_/710815", "title"=>"Relationship between functional recovery (i.e., % 1-year changes in self-reported peak VO<sub>2)</sub> and expected 10-year mortality according to income after risk-adjustment for all remaining factors.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-03 00:13:35"}

PMC Usage Stats | Further Information

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Relative Metric

{"start_date"=>"2013-01-01T00:00:00Z", "end_date"=>"2013-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[269, 466, 588, 697, 800, 896, 988, 1076, 1165, 1254, 1340, 1417]}, {"subject_area"=>"/Biology and life sciences/Population biology", "average_usage"=>[269, 448, 558, 658, 744, 830, 914, 995, 1068, 1139, 1214, 1284, 1349]}, {"subject_area"=>"/Medicine and health sciences", "average_usage"=>[264, 460, 584, 692, 794, 887, 978, 1067, 1154, 1241, 1328, 1408, 1474]}, {"subject_area"=>"/Medicine and health sciences/Cardiology", "average_usage"=>[233, 405, 515, 618, 700, 797, 883, 958, 1036, 1108, 1178, 1238, 1299]}, {"subject_area"=>"/Medicine and health sciences/Public and occupational health", "average_usage"=>[291, 491, 610, 723, 817, 906, 991, 1071, 1153, 1238, 1324, 1411, 1478]}, {"subject_area"=>"/People and places/Population groupings", "average_usage"=>[265, 456, 578, 682, 782, 881, 965, 1053, 1133, 1223, 1310, 1391, 1457]}, {"subject_area"=>"/Social sciences/Psychology", "average_usage"=>[294, 460, 580, 683, 777, 868, 957, 1044, 1124, 1202, 1276, 1356, 1422]}]}
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