“
“Sperm prolamine deficiency and DNA damage were analysed employing chromomycin A(3) (CMA) staining and the terminal deoxynucleotidyl transferase-mediated dUTP nick-end labelling assay, respectively, in 132 patients (82 IVF, 50 intracytoplasmic sperm injection [ICSI]). The antioxidant ability of seminal plasma was analysed in 10 men, using the total oxidant scavenging capacity assay. A significant negative correlation was found between abnormal protamination and sperm parameters, including sperm DNA fragmentation (P < 0.01). A close relationship was found between sperm protamination and fertilization and

pregnancy only in IVF (P = 0.004 and P < 0.04, respectively); in ICSI there was a correlation between DNA fragmentation and pregnancy (P = 0.031). Finally, there was a negative correlation between chromatin under-protamination and the antioxidant GSK1120212 concentration ability of seminal plasma (P < 0.01). Results of this Study underline that. despite sperm abnormal protamination and DNA fragmentation being positively correlated, they affect the reproductive outcome in different ways: ill particular there was good

prognostic value for CMA(3) analysis only in IVF whereas DNA fragmentation analysis was prognostic only for ICSI outcome. Data are also provided find more to support the idea of a relationship between detective antioxidant system activity and impairment of chromatin packaging”
“BackgroundRisk factors for emergent readmissions or death after acute myocardial infarction (AMI) are important in identifying patients at risk for major adverse events. However, there has been limited investigation conducted of prospective clinical registries to determine relevant risk factors.

HypothesisWe hypothesize 30-day readmission or death could be predicted using patient, procedural, and process factors.

MethodsPatients presenting with ST-elevation myocardial infarction (STEMI) from 2006 to 2011 were prospectively enrolled in a STEMI registry (1271 patients). Thirty-day

readmission was ascertained by administrative claims data. Death was determined by linking to the Social Security Death Master File. Univariate and stepwise multivariate logistic regression A-1210477 datasheet was conducted with Hosmer-Lemeshow goodness-of-fit statistics for model calibration and receiver operating characteristic (ROC) curve for model discrimination.

ResultsThe combined end point of 30-day readmission or postdischarge death included 135 patients (10.6%), including 109 emergent readmissions and 26 deaths. Factors associated with an increase risk of 30-day readmission or postdischarge death included age 80 years, diabetes, chest pain or cardiac arrest at presentation, and 3-vessel disease found at initial angiography.