Clinical research in cardiology : official journal of the German Cardiac Society · 2015
Impact of income status on prognosis of acute coronary syndrome patients during Greek financial crisis.
СтатьяМногоцентровое исследованиеНаблюдательное исследованиеНазвание и аннотация: Перевод пока не подготовлен
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Andrikopoulos George, Tzeis Stylianos, Terentes-Printzios Dimitrios, Varounis Christos, Vlachopoulos Charalampos, Mantas Ioannis, Patsilinakos Sotirios, Lampropoulos Stylianos, Olympios Christoforos, Kartalis Athanasios, Manolis Athanasios, Gotsis Alexandros, Triposkiadis Filippos, Tsaknakis Themistoklis, Goudevenos Ioannis, Kaprinis Ioannis, Pras Athanasios, Vasiliou Fotios, Skoumpourdis Emmanouil, Sakka Gerasimoula, Draganigos Antonios, Vardas Panos
Аннотация
BACKGROUND: The effect of income status on patient outcome merits investigation during periods of financial crisis. We evaluated the impact of income status on out-of-hospital prognosis in a cohort of acute coronary syndrome (ACS) patients, included in a countrywide study during a period of financial crisis.
METHODS: The study is a secondary analysis of a prospective, multicenter, observational study-the PHAETHON study-enrolling consecutive ACS patients in 37 hospitals in Greece. Patients were classified as low or high income based on the reported net annual household income using as a cut-off point the relative poverty threshold for Greece of 12,000 Euros. The outcome measure was survival free of the primary composite endpoint (cardiovascular death, myocardial infarction, stroke/transient ischemic attack, urgent revascularization and urgent hospitalization due to cardiovascular causes).
RESULTS: The study population included 794 patients. The administration rate of evidence-based medications was similar in the low- (n = 455) and high-income (n = 339) groups during hospitalization and upon discharge. In a median follow-up of 189 days (interquartile range: 180-212 days), low-income patients had 92 % higher risk of the combined endpoint as compared to high-income patients [Hazard ratio (HR):1.92, 95 % CI:1.25-2.94, p = 0.003]. The effect of low-income status on the combined outcome remained significant after adjustment for age, gender and depression (HR:1.59, 95 % CI:1.02-2.49; p = 0.043).
CONCLUSIONS: In a period of financial crisis, low income is a significant and independent predictor of poor out-of-hospital outcome in ACS patients. This association has profound implications and should be taken into consideration by public health policy makers.
METHODS: The study is a secondary analysis of a prospective, multicenter, observational study-the PHAETHON study-enrolling consecutive ACS patients in 37 hospitals in Greece. Patients were classified as low or high income based on the reported net annual household income using as a cut-off point the relative poverty threshold for Greece of 12,000 Euros. The outcome measure was survival free of the primary composite endpoint (cardiovascular death, myocardial infarction, stroke/transient ischemic attack, urgent revascularization and urgent hospitalization due to cardiovascular causes).
RESULTS: The study population included 794 patients. The administration rate of evidence-based medications was similar in the low- (n = 455) and high-income (n = 339) groups during hospitalization and upon discharge. In a median follow-up of 189 days (interquartile range: 180-212 days), low-income patients had 92 % higher risk of the combined endpoint as compared to high-income patients [Hazard ratio (HR):1.92, 95 % CI:1.25-2.94, p = 0.003]. The effect of low-income status on the combined outcome remained significant after adjustment for age, gender and depression (HR:1.59, 95 % CI:1.02-2.49; p = 0.043).
CONCLUSIONS: In a period of financial crisis, low income is a significant and independent predictor of poor out-of-hospital outcome in ACS patients. This association has profound implications and should be taken into consideration by public health policy makers.
Предметные рубрики MeSH
Acute Coronary SyndromeAgedDisease-Free SurvivalEconomic RecessionFemaleGreeceHealth Care CostsHealth Services AccessibilityHealthcare DisparitiesHumansIncomeKaplan-Meier EstimateMaleMiddle AgedPovertyProportional Hazards ModelsProspective StudiesPublic HealthRisk AssessmentRisk FactorsTime FactorsTreatment Outcome