Combined effects of nutritional status on long-term mortality in patients with non-st segment elevation myocardial infarction undergoing percutaneous coronary intervention.

OBJECTIVE: The aim of this study was to investigate the performance of controlling nutritional status (CONUT) index, geriatric nutritional risk index (GNRI), and prognostic nutritional index (PNI) scores in predicting the long-term prognosis of patients with non-ST-elevated myocardial infarction (NSTEMI) who underwent percutaneous coronary intervention (PCI). METHODS: A total of 915 patients with NSTEMI (female: 48.4%; mean age: 73.1±9.0 years) who underwent PCI at Adana Numune Training and Research Hospital, Cardiology Clinic between January 2014 and January 2015 were included in this cross-sectional and retrospective study. CONUT, GNRI, and PNI scores were calculated based on the admission data derived from samples of peripheral venous blood. The mean follow-up duration was 64.5±15.4 months. RESULTS: During follow-up (mean 64.5±15.4 months), 179 patients (19.6%) died. The mean GNRI and PNI scores were significantly lower in the nonsurvivor group; however, the median CONUT score was significantly higher in the nonsurvivor group compared with the survivor group. The receiver operating characteristic (ROC) curve analyses have shown that GNRI score has similar performance to the CONUT score and has better performance than PNI score in predicting 5-year mortality. The Kaplan-Meier curve analysis has shown that patients with lower PNI or GNRI had higher cumulative mortality than the patients with higher PNI or GNRI. Also, the patients with higher CONUT scores had higher cumulative mortality compared with those with lower scores. The multivariate analyses have shown that GNRI (HR: 0.973), PNI (HR: 0.967), CONUT score (HR: 1.527), and body mass index (BMI) (HR: 0.818) were independent predictors of the 5-year mortality in patients with NSTEMI. CONCLUSION: In this study, we have shown that CONUT score, GNRI, and PNI values were associated with the long-term mortality in patients with NSTEMI who underwent PCI, and GNRI yielded similar results to CONUT score but was better than PNI.

Combined effects of nutritional status on long-term mortality in patients with non-st segment elevation myocardial infarction undergoing percutaneous coronary intervention

SUMMARY OBJECTIVE: The aim of this study was to investigate the performance of controlling nutritional status (CONUT) index, geriatric nutritional risk index (GNRI), and prognostic nutritional index (PNI) scores in predicting the long-term prognosis of patients with non-ST-elevated myocardial infarction (NSTEMI) who underwent percutaneous coronary intervention (PCI). METHODS: A total of 915 patients with NSTEMI (female: 48.4%; mean age: 73.1±9.0 years) who underwent PCI at Adana Numune Training and Research Hospital, Cardiology Clinic between January 2014 and January 2015 were included in this cross-sectional and retrospective study. CONUT, GNRI, and PNI scores were calculated based on the admission data derived from samples of peripheral venous blood. The mean follow-up duration was 64.5±15.4 months. RESULTS: During follow-up (mean 64.5±15.4 months), 179 patients (19.6%) died. The mean GNRI and PNI scores were significantly lower in the nonsurvivor group; however, the median CONUT score was significantly higher in the nonsurvivor group compared with the survivor group. The receiver operating characteristic (ROC) curve analyses have shown that GNRI score has similar performance to the CONUT score and has better performance than PNI score in predicting 5-year mortality. The Kaplan-Meier curve analysis has shown that patients with lower PNI or GNRI had higher cumulative mortality than the patients with higher PNI or GNRI. Also, the patients with higher CONUT scores had higher cumulative mortality compared with those with lower scores. The multivariate analyses have shown that GNRI (HR: 0.973), PNI (HR: 0.967), CONUT score (HR: 1.527), and body mass index (BMI) (HR: 0.818) were independent predictors of the 5-year mortality in patients with NSTEMI. CONCLUSION: In this study, we have shown that CONUT score, GNRI, and PNI values were associated with the long-term mortality in patients with NSTEMI who underwent PCI, and GNRI yielded similar results to CONUT score but was better than PNI.

Guía de práctica clínica infarto agudo al miocardio con supradesnivel del segmento ST / ST-segment elevation myocardial infarction clinical practice guidelines

Generar recomendaciones basadas en la mejor evidencia disponible acerca del manejo de personas con Infarto Agudo al Miocardio con Supradesnivel segmento ST. Tipo de pacientes y escenario clínico Personas con Infarto Agudo al Miocardio con Supradesnivel segmento ST que reciben atención en el nivel primario, secundario y terciario de salud en el sector público y privado de salud.

Precatheterization Use of P2Y12 Inhibitors in Non-ST-Elevation Myocardial Infarction Patients Undergoing Early Cardiac Catheterization and In-Hospital Coronary Artery Bypass Grafting: Insights From the National Cardiovascular Data Registry®.

BACKGROUND: Current guidelines recommend early P2Y12 inhibitor administration in non-ST-elevation myocardial infarction, but it is unclear if precatheterization use is associated with longer delays to coronary artery bypass grafting (CABG) or higher risk of post-CABG bleeding and transfusion. This study examines the patterns and outcomes of precatheterization P2Y12 inhibitor use in non-ST-elevation myocardial infarction patients who undergo CABG. METHODS AND RESULTS: Retrospective analysis was done of 20 304 non-ST-elevation myocardial infarction patients in the ACTION (Acute Coronary Treatment and Intervention Outcomes Network) Registry (2009-2014) who underwent catheterization within 24 hours of admission and CABG during the index hospitalization. Using inverse probability-weighted propensity adjustment, we compared time from catheterization to CABG, post-CABG bleeding, and transfusion rates between patients who did and did not receive precatheterization P2Y12 inhibitors. Among study patients, 32.9% received a precatheterization P2Y12 inhibitor (of these, 2.2% were given ticagrelor and 3.7% prasugrel). Time from catheterization to CABG was longer among patients who received precatheterization P2Y12 inhibitor (median 69.9 hours [25th, 75th percentiles 28.2, 115.8] versus 43.5 hours [21.0, 71.8], P<0.0001), longer for patients treated with prasugrel (median 114.4 hours [66.5, 155.5]) or ticagrelor (90.4 hours [48.7, 124.5]) compared with clopidogrel (69.3 [27.5, 114.6], P<0.0001). Precatheterization P2Y12 inhibitor use was associated with a higher risk of post-CABG major bleeding (75.7% versus 73.4%, adjusted odds ratio 1.33, 95% confidence interval 1.22-1.45, P<0.0001) and transfusion (47.6% versus 35.7%, adjusted odds ratio 1.51, 95% confidence interval 1.41-1.62, P<0001); these relationships did not differ among patients treated with clopidogrel, prasugrel, or ticagrelor. CONCLUSIONS: Precatheterization P2Y12 inhibitor use occurs commonly among non-ST-elevation myocardial infarction patients who undergo early catheterization and in-hospital CABG. Despite longer delays to surgery, the majority of pretreated patients proceed to CABG <3 days postcatheterization. Precatheterization P2Y12 inhibitor use is associated with higher risks of postoperative bleeding and transfusion.