29 research outputs found
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Impact of Right Ventricular Performance in Patients Undergoing Extracorporeal Membrane Oxygenation Following Cardiac Surgery
Background: Extracorporeal membrane oxygenation following cardiac surgery safeguards endâorgan oxygenation but unfavorably alters cardiac hemodynamics. Along with the detrimental effects of cardiac surgery to the right heart, this might impact outcome, particularly in patients with preexisting right ventricular (RV) dysfunction. We sought to determine the prognostic impact of RV function and to improve established riskâprediction models in this vulnerable patient cohort. Methods and Results: Of 240 patients undergoing extracorporeal membrane oxygenation support following cardiac surgery, 111 had echocardiographic examinations at our institution before implantation of extracorporeal membrane oxygenation and were thus included. Median age was 67 years (interquartile range 60â74), and 74 patients were male. During a median followâup of 27 months (interquartile range 16â63), 75 patients died. Fiftyâone patients died within 30 days, 75 during longâterm followâup (median followâup 27 months, minimum 5 months, maximum 125 months). Metrics of RV function were the strongest predictors of outcome, even stronger than left ventricular function (P<0.001 for receiver operating characteristics comparisons). Specifically, RV freeâwall strain was a powerful predictor univariately and after adjustment for clinical variables, Simplified Acute Physiology Scoreâ3, tricuspid regurgitation, surgery type and duration with adjusted hazard ratios of 0.41 (95%CI 0.24â0.68; P=0.001) for 30âday mortality and 0.48 (95%CI 0.33â0.71; P<0.001) for longâterm mortality for a 1âSD (SD=â6%) change in RV freeâwall strain. Combined assessment of the additive EuroSCORE and RV freeâwall strain improved risk classification by a net reclassification improvement of 57% for 30âday mortality (P=0.01) and 56% for longâterm mortality (P=0.02) compared with the additive EuroSCORE alone. Conclusions: RV function is strongly linked to mortality, even after adjustment for baseline variables and clinical risk scores. RV performance improves established risk prediction models for shortâ and longâterm mortality
In-situ estimation of ice crystal properties at the South Pole using LED calibration data from the IceCube Neutrino Observatory
The IceCube Neutrino Observatory instruments about 1 km3 of deep, glacial ice at the geographic South Pole using 5160 photomultipliers to detect Cherenkov light emitted by charged relativistic particles. A unexpected light propagation effect observed by the experiment is an anisotropic attenuation, which is aligned with the local flow direction of the ice. Birefringent light propagation has been examined as a possible explanation for this effect. The predictions of a first-principles birefringence model developed for this purpose, in particular curved light trajectories resulting from asymmetric diffusion, provide a qualitatively good match to the main features of the data. This in turn allows us to deduce ice crystal properties. Since the wavelength of the detected light is short compared to the crystal size, these crystal properties do not only include the crystal orientation fabric, but also the average crystal size and shape, as a function of depth. By adding small empirical corrections to this first-principles model, a quantitatively accurate description of the optical properties of the IceCube glacial ice is obtained. In this paper, we present the experimental signature of ice optical anisotropy observed in IceCube LED calibration data, the theory and parametrization of the birefringence effect, the fitting procedures of these parameterizations to experimental data as well as the inferred crystal properties.</p
In situ estimation of ice crystal properties at the South Pole using LED calibration data from the IceCube Neutrino Observatory
The IceCube Neutrino Observatory instruments about 1âkm3 of deep, glacial ice at the geographic South Pole. It uses 5160 photomultipliers to detect Cherenkov light emitted by charged relativistic particles. An unexpected light propagation effect observed by the experiment is an anisotropic attenuation, which is aligned with the local flow direction of the ice. We examine birefringent light propagation through the polycrystalline ice microstructure as a possible explanation for this effect. The predictions of a first-principles model developed for this purpose, in particular curved light trajectories resulting from asymmetric diffusion, provide a qualitatively good match to the main features of the data. This in turn allows us to deduce ice crystal properties. Since the wavelength of the detected light is short compared to the crystal size, these crystal properties include not only the crystal orientation fabric, but also the average crystal size and shape, as a function of depth. By adding small empirical corrections to this first-principles model, a quantitatively accurate description of the optical properties of the IceCube glacial ice is obtained. In this paper, we present the experimental signature of ice optical anisotropy observed in IceCube light-emitting diode (LED) calibration data, the theory and parameterization of the birefringence effect, the fitting procedures of these parameterizations to experimental data, and the inferred crystal properties.Peer Reviewe
In situ estimation of ice crystal properties at the South Pole using LED calibration data from the IceCube Neutrino Observatory
The IceCube Neutrino Observatory instruments
about 1 km3 of deep, glacial ice at the geographic South
Pole. It uses 5160 photomultipliers to detect Cherenkov
light emitted by charged relativistic particles. An unexpected
light propagation effect observed by the experiment is an
anisotropic attenuation, which is aligned with the local flow
direction of the ice. We examine birefringent light propaga-
tion through the polycrystalline ice microstructure as a pos-
sible explanation for this effect. The predictions of a first-
principles model developed for this purpose, in particular
curved light trajectories resulting from asymmetric diffusion,
provide a qualitatively good match to the main features of the
data. This in turn allows us to deduce ice crystal properties.
Since the wavelength of the detected light is short compared
to the crystal size, these crystal properties include not only
the crystal orientation fabric, but also the average crystal size
and shape, as a function of depth. By adding small empiri-
cal corrections to this first-principles model, a quantitatively
accurate description of the optical properties of the IceCube
glacial ice is obtained. In this paper, we present the exper-
imental signature of ice optical anisotropy observed in Ice-
Cube light-emitting diode (LED) calibration data, the theory
and parameterization of the birefringence effect, the fitting
procedures of these parameterizations to experimental data,
and the inferred crystal propertie
Novel multiple sclerosis susceptibility loci implicated in epigenetic regulation.
We conducted a genome-wide association study (GWAS) on multiple sclerosis (MS) susceptibility in German cohorts with 4888 cases and 10,395 controls. In addition to associations within the major histocompatibility complex (MHC) region, 15 non-MHC loci reached genome-wide significance. Four of these loci are novel MS susceptibility loci. They map to the genes L3MBTL3, MAZ, ERG, and SHMT1. The lead variant at SHMT1 was replicated in an independent Sardinian cohort. Products of the genes L3MBTL3, MAZ, and ERG play important roles in immune cell regulation. SHMT1 encodes a serine hydroxymethyltransferase catalyzing the transfer of a carbon unit to the folate cycle. This reaction is required for regulation of methylation homeostasis, which is important for establishment and maintenance of epigenetic signatures. Our GWAS approach in a defined population with limited genetic substructure detected associations not found in larger, more heterogeneous cohorts, thus providing new clues regarding MS pathogenesis
Evidence for Increased Genetic Risk Load for Major Depression in Patients Assigned to Electroconvulsive Therapy
Electroconvulsive therapy (ECT) is the treatment of choice for severe and treatment-resistant
depression; disorder severity and unfavorable treatment outcomes are shown to be influenced
by an increased genetic burden for major depression (MD). Here, we tested whether ECT assignment
and response/nonresponse are associated with an increased genetic burden for major
depression (MD) using polygenic risk score (PRS), which summarize the contribution of diseaserelated
common risk variants. Fifty-one psychiatric inpatients suffering from a major depressive
episode underwent ECT. MD-PRS were calculated for these inpatients and a separate
population-based sample (n = 3,547 healthy; n = 426 self-reported depression) based on summary
statistics from the Psychiatric Genomics Consortium MDD-working group (Cases:
n = 59,851; Controls: n = 113,154). MD-PRS explained a significant proportion of disease status
between ECT patients and healthy controls (p = .022, R2 = 1.173%); patients showed higher
MD-PRS. MD-PRS in population-based depression self-reporters were intermediate between
ECT patients and controls (n.s.). Significant associations between MD-PRS and ECT response
(50% reduction in Hamilton depression rating scale scores) were not observed. Our findings indicate
that ECT cohorts show an increased genetic burden for MD and are consistent with the
hypothesis that treatment-resistant MD patients represent a subgroup with an increased genetic
risk for MD. Larger samples are needed to better substantiate these findings
Similarities and Differences of Mental Health in Women and Men: A Systematic Review of Findings in Three Large German Cohorts
In Germany, large, population-based cohort studies have been implemented in order to identify risk and protective factors for maintaining health across the life span. The purpose of this systematic review is to analyse findings from three large ongoing cohorts and to identify sex-specific prevalence rates, risk and protective factors for mental health. Published studies from the Cooperative Health Research in the Region Augsburg (KORA), the Study of Health in Pomerania (SHIP) and the Gutenberg Health Study (GHS)), representing the southern, north-eastern and middle parts of Germany, were identified through searches of the databases PubMed and Web of Science. A total of 52 articles was identified from the start of each cohort until June 2019. Articles reporting prevalence rates of mental health [N = 22], explanatory factors for mental health [N = 25], or both [N = 5] were identified. Consistent across cohorts, higher prevalence rates of internalizing disorders were found for women and more externalizing disorders for men. Risk and protective factors for mental health included social factors, lifestyle, physical health, body mass index (BMI), diabetes, genetic and biological factors. In all areas, differences and similarities were found between women and men. The most evident were the sex-specific risk profiles for depression with mostly external risk factors for men and internal risk factors for women. Gender was not assessed directly, therefore we examined whether socioeconomic and family-related factors reflecting gender roles or institutionalized gender could be used as a proxy for gender. Overall, this systematic review shows differences and similarities in prevalence rates and determinants of mental health indicators between women and men. They underline the importance of focussing on sex specific approaches in mental health research and in the development of prevention measures. Current research on mental health still lacks focus on gender aspects. Therefore, an increased focus on sex and gender in mental health research is of great importance