BMC cardiovascular disorders · 2014
Do gender differences in primary PCI mortality represent a different adherence to guideline recommended therapy? a multicenter observation.
Сравнительное исследованиеСтатьяМногоцентровое исследованиеНаблюдательное исследованиеНазвание и аннотация: Перевод в очереди
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Birkemeyer Ralf, Schneider Henrik, Rillig Andreas, Ebeling Juliane, Akin Ibrahim, Kische Stefan, Paranskaya Liliya, Jung Werner, Ince Hueseyin, Nienaber Christoph A
Аннотация
BACKGROUND: It is uncertain whether gender differences in outcome after primary percutaneous coronary intervention (PCI) are only attributable to different baseline characteristics or additional factors.
METHODS: Databases of two German myocardial infarction network registries were combined with a total of 1104 consecutive patients admitted with acute ST-elevation myocardial infarction (STEMI) and treated according to standardized protocols.
RESULTS: Approximately 25% of patients were females. Mean age (69 vs 61 years), incidence of diabetes (28% vs 20%), hypertension (68 vs 58%) and renal insufficiency (26% vs 19%) was significantly higher compared to males. Mean prehospital delay was numerically longer in females (227 vs 209 min) as was in hospital delay (35 vs 30 min). PCI was finally performed in 92% of females and 95% of males with comparable procedural success (95% vs 97%). Use of drug eluting stents (55% vs 68%) and application of GP 2b 3a blockers (75% vs 89%) was significantly less frequent in women. At discharge, prescription of beta blockers and lipid lowering drugs was also significantly lower in females (84% vs 90% and 71% vs 84%). Unadjusted in-hospital mortality was significantly higher in females (10% vs 5%) without attenuation after 12 months. Adjusted mortality however did not differ significantly between genders.
CONCLUSION: Higher unadjusted mortality in females after primary PCI was accompanied by significant differences in baseline characteristics, interventional approach and secondary prophylaxis in spite of the same standard of care. Lower guideline adherence seems to be less gender specific but rather a manifestation of the risk-treatment paradox.
METHODS: Databases of two German myocardial infarction network registries were combined with a total of 1104 consecutive patients admitted with acute ST-elevation myocardial infarction (STEMI) and treated according to standardized protocols.
RESULTS: Approximately 25% of patients were females. Mean age (69 vs 61 years), incidence of diabetes (28% vs 20%), hypertension (68 vs 58%) and renal insufficiency (26% vs 19%) was significantly higher compared to males. Mean prehospital delay was numerically longer in females (227 vs 209 min) as was in hospital delay (35 vs 30 min). PCI was finally performed in 92% of females and 95% of males with comparable procedural success (95% vs 97%). Use of drug eluting stents (55% vs 68%) and application of GP 2b 3a blockers (75% vs 89%) was significantly less frequent in women. At discharge, prescription of beta blockers and lipid lowering drugs was also significantly lower in females (84% vs 90% and 71% vs 84%). Unadjusted in-hospital mortality was significantly higher in females (10% vs 5%) without attenuation after 12 months. Adjusted mortality however did not differ significantly between genders.
CONCLUSION: Higher unadjusted mortality in females after primary PCI was accompanied by significant differences in baseline characteristics, interventional approach and secondary prophylaxis in spite of the same standard of care. Lower guideline adherence seems to be less gender specific but rather a manifestation of the risk-treatment paradox.
Предметные рубрики MeSH
Adrenergic beta-AntagonistsAgedAged, 80 and overDrug-Eluting StentsFemaleGermanyGuideline AdherenceHealth Status DisparitiesHealthcare DisparitiesHospital MortalityHumansHypolipidemic AgentsMaleMiddle AgedMyocardial InfarctionPercutaneous Coronary InterventionPlatelet Aggregation InhibitorsPractice Guidelines as TopicPractice Patterns, Physicians'RegistriesRisk AssessmentRisk FactorsSex FactorsTime FactorsTime-to-TreatmentTreatment Outcome