Gaussian estimates for the density of the non-linear stochastic heat equation in any space dimension

In this paper, we establish lower and upper Gaussian bounds for the probability density of the mild solution to the stochastic heat equation with multiplicative noise and in any space dimension. The driving perturbation is a Gaussian noise which is white in time with some spatially homogeneous covariance. These estimates are obtained using tools of the Malliavin calculus. The most challenging part is the lower bound, which is obtained by adapting a general method developed by Kohatsu-Higa to the underlying spatially homogeneous Gaussian setting. Both lower and upper estimates have the same form: a Gaussian density with a variance which is equal to that of the mild solution of the corresponding linear equation with additive noise.

Quality of care after acute coronary syndromes in a prospective cohort with reasons for non-prescription of recommended medications.

BACKGROUND: Adherence to guidelines is associated with improved outcomes of patients with acute coronary syndrome (ACS). Clinical registries developed to assess quality of care at discharge often do not collect the reasons for non-prescription for proven efficacious preventive medication in Continental Europe. In a prospective cohort of patients hospitalized for an ACS, we aimed at measuring the rate of recommended treatment at discharge, using pre-specified quality indicators recommended in cardiologic guidelines and including systematic collection of reasons for non-prescription for preventive medications. METHODS: In a prospective cohort with 1260 patients hospitalized for ACS, we measured the rate of recommended treatment at discharge in 4 academic centers in Switzerland. Performance measures for medication at discharge were pre-specified according to guidelines, systematically collected for all patients and included in a centralized database. RESULTS: Six hundred and eighty eight patients(54.6%) were discharged with a main diagnosis of STEMI, 491(39%) of NSTEMI and 81(6.4%) of unstable angina. Mean age was 64 years and 21.3% were women. 94.6% were prescribed angiotensin converting enzyme inhibitors/angiotensin II receptor blockers at discharge when only considering raw prescription rates, but increased to 99.5% when including reasons non-prescription. For statins, rates increased from 98% to 98.6% when including reasons for non-prescription and for beta-blockers, from 82% to 93%. For aspirin, rates further increased from 99.4% to 100% and from to 99.8% to 100% for P2Y12 inhibitors. CONCLUSIONS: We found a very high adherence to ACS guidelines for drug prescriptions at discharge when including reasons for non-prescription to drug therapy. For beta-blockers, prescription rates were suboptimal, even after taking into account reason for non-prescription. In an era of improving quality of care to achieve 100% prescription rates at discharge unless contra-indicated, pre-specification of reasons for non-prescription for cardiovascular preventive medication permits to identify remaining gaps in quality of care at discharge. TRIAL REGISTRATION: ClinicalTrials.gov NCT01000701.

Non-covalent and covalent protein labeling in two-dimensional gel electrophoresis.

Over the past decades, several sensitive post-electrophoretic stains have been developed for an identification of proteins in general, or for a specific detection of post-translational modifications such as phosphorylation, glycosylation or oxidation. Yet, for a visualization and quantification of protein differences, the differential two-dimensional gel electrophoresis, termed DIGE, has become the method of choice for a detection of differences in two sets of proteomes. The goal of this review is to evaluate the use of the most common non-covalent and covalent staining techniques in 2D electrophoresis gels, in order to obtain maximal information per electrophoresis gel and for an identification of potential biomarkers. We will also discuss the use of detergents during covalent labeling, the identification of oxidative modifications and review influence of detergents on finger prints analysis and MS/MS identification in relation to 2D electrophoresis.

Proportion of out of hospital adult non traumatic cardiac arrest presenting as a convulsion

Introduction: The majority of convulsions are due to an epilepticseizure or a convulsive syncope. In some cases, this is the firstsymptom of an out of hospital cardiac arrest (OH-CA).Objective: This study was aimed to measure the proportion of adultnon traumatic OH-CA presenting as a convulsion.Methodology: We prospectively collected all incoming calls with anout-of-hospital non traumatic seizure as the chief complaint in patients>18 years during a 24-months period. Among these calls, we collectedcases identified as OH-CA by paramedics.Results: During the 24-months period, the EMS dispatch centerreceived 561 calls for an out-of-hospital non traumatic convulsion in anadult. Twelve cases were ultimately classified as CA. In this group, onebystander spontaneously reported that the patient was known forepilepsy. The incidence of OH-CA presenting as convulsions wastherefore 2.1% of all calls for convulsion. Over the same period, theEMS dispatch center received 1035 calls related to an adult nontraumatic OH-CA. Therefore the rate of OH-CA presenting as aconvulsion represented 1.2% of all adult non traumatic OH-CA.Conclusion: Only 12 cases out of the 531 calls for non traumatic adultconvulsions were confirmed OH-CA (2.1%). Nevertheless, this unusualpresentation of OH-CA must be recognized by dispatchers, even whena patient is reported by bystander as a known epileptic. Dispatchersshould keep bystanders on line or call them back before paramedics'arrival, and have them confirm the progressive return of a normalpattern of breathing and state of consciousness; if not, they shouldencourage when necessary bystander to initiate CPR. For dispatchers,a past medical history of epilepsy should not be regarded as sufficientinformation to rule-out OH-CA. It is mandatory that known epilepticpatients should be monitored in the same way as non-epileptic patients.