Benefit of primary percutaneous coronary interventions in the elderly with ST segment elevation myocardial infarction.

OBJECTIVE: Primary percutaneous coronary intervention (P-PCI) has demonstrated its efficacy in patients with ST segment elevation myocardial infarction (STEMI). However, patients with STEMI ≥75 years receive less P-PCI than younger patients despite their higher in-hospital morbimortality. The objective of this analysis was to determine the effectiveness of P-PCI in patients with STEMI ≥75 years. METHODS: We included 979 patients with STEMI ≥75 years, from the ATención HOspitalaria del Síndrome coronario study, a registry of 8142 consecutive patients with acute coronary syndrome admitted at 31 Spanish hospitals in 2014-2016. We calculated a propensity score (PS) for the indication of P-PCI. Patients that received or not P-PCI were matched by PS. Using logistic regression, we compared the effectiveness of performing P-PCI versus non-performance for the composite primary event, which included death, reinfarction, acute pulmonary oedema or cardiogenic shock during hospitalisation. RESULTS: Of the included patients, 81.5 % received P-PCI. The matching provided two groups of 169 patients with and without P-PCI. Compared with its non-performance, P-PCI presented a composite event OR adjusted by PS of 0.55 (95% CI 0.34 to 0.89). CONCLUSIONS: Receiving a P-PCI was significantly associated with a reduced risk of major intrahospital complications in patients with STEMI aged 75 years or older.

Total and cardiovascular mortality risk according to KDIGO guidelines classification in type 2 diabetic patients. / Riesgo de mortalidad total y cardiovascular según la clasificación propuesta por las guías KDIGO en pacientes con diabetes tipo 2.

BACKGROUND AND AIMS: Our aim was to assess the usefulness of KDIGO 2012 risk classification to predict total and cardiovascular mortality in type 2 diabetes mellitus (DM2). MATERIAL AND METHODS: Prospective cohort study that included DM2 patients. Clinical end-points were total and cardiovascular mortality. The main predictive variable was KDIGO risk classification, which is a combination of urinary albumin excretion and glomerular filtration rate. The predictive value was evaluated by the integrated discrimination improvement (IDI) index. RESULTS: 453 patients (39.3% males, aged 64.9 [SD 9.3] and with a mean diabetes duration of 10.4 [SD 7.5] years) were included. During a median follow-up of 13 years, mortality rates per 1000 patients/year (26.5 vs. 45.1 vs. 79,2 vs. 109,8; p<0,001) and cardiovascular mortality (8.1 vs. 17.4 vs. 24.7 vs. 57.5; p<0,001) were progressively increased in successive KDIGO categories. In the multivariate analysis, there was also a progressive increase of mortality risk (HR[moderate risk]=1.29; HR[high risk])=1.83; HR[very high risk]=2.15; p=.016) and cardiovascular mortality risk (HR[moderate risk]=1.73; HR[high risk]=2.27; HR[very high risk]=4.22; p=.007) in the successive categories. KDIGO classification was able to improve the mortality risk prediction (IDI=0.00888; p=.047) and cardiovascular mortality risk prediction (IDI=0.01813; p=.035). CONCLUSIONS: KDIGO risk classification can effectively stratify total and cardiovascular mortality risk in DM2 patients.