Abildgaardjacobs7466

hemical disease were effective in short-term prediction of preeclampsia, and the performance of GlyFn in particular as a POC test may meet the needs of rapid and accurate triage and intervention.BACKGROUND In this paper, we explore the concept of multi-objective optimization in the field of metabolic engineering when both continuous and integer decision variables are involved in the model. In particular, we propose a multi-objective model that may be used to suggest reaction deletions that maximize and/or minimize several functions simultaneously. The applications may include, among others, the concurrent maximization of a bioproduct and of biomass, or maximization of a bioproduct while minimizing the formation of a given by-product, two common requirements in microbial metabolic engineering. RESULTS Production of ethanol by the widely used cell factory Saccharomyces cerevisiae was adopted as a case study to demonstrate the usefulness of the proposed approach in identifying genetic manipulations that improve productivity and yield of this economically highly relevant bioproduct. We did an in vivo validation and we could show that some of the predicted deletions exhibit increased ethanol levels in comparison with the wild-type strain. CONCLUSIONS The multi-objective programming framework we developed, called MOMO, is open-source and uses POLYSCIP (Available at http//polyscip.zib.de/). as underlying multi-objective solver. MOMO is available at http//momo-sysbio.gforge.inria.fr.BACKGROUND To investigate clinicopathological variables influencing overall survival, overall recurrence, and post-recurrence survival (PRS) in patients who experienced curative-intent surgical resection of stage I non-small-cell lung cancer (NSCLC). METHODS We investigated a series of 1387 patients with stage I NSCLC who underwent surgical resection from 2008 to 2015. The effect clinicopathological factors on death, recurrence, and PRS were evaluated by Kaplan-Meier estimates and cox regression analysis. RESULTS Among the 1387 stage I patients, 301 (21.7%) experienced recurrence. The 5-year cumulative incidence of recurrence (CIR) for all patients was 20.2% and median PRS was 25.5 months. The older age (P = 0.036), p-stage IB (P = 0.001), sublobar resection(P less then 0.001), histology subtype (P less then 0.001), and lymphovascular invasion (LVI) (P = 0.042) were significantly associated with worse overall survival. Among 301 recurrent patients, univariable analysis indicated that p-stage IB (versus IA) (Pasis and bone metastasis were independent risk factors with PRS.BACKGROUND The Migraine Disability Assessment (MIDAS) questionnaire is widely used to determine the degree of migraine-related disability of subjects. So far, and to the best of our knowledge, no Spanish version of this tool has been validated. The questionnaire comprises seven items, with the first five constituting the main scale while the sixth and seventh items referring, respectively, to the frequency and intensity of headache. The present study aims to analyze the clinimetric properties of the Spanish version of the MIDAS questionnaire in a population of university students. METHODS We performed a cross-sectional study of validation for this measuring instrument. A total of 153 subjects participated in the study. We analyzed construct validity using factor analysis, test-retest reliability by the Intraclass Correlation Coeficient (ICC), internal consistency, and concurrent validity with respect to the 12-Item Short Form Health Survey (SF-12). RESULTS Factor analysis revealed a two-factor structure. The questionnaire has good reliability for the MIDAS main-scale score ([ICC = 0.81; 95% CI 0.63-0.90]), excellent reliability for headache frequency (ICC = 0.90; 95%; CI [0.79-0.95]), and moderately good reliability for headache intensity (ICC = 0.63; 95% CI [0.34-0.80]). The analysis also yielded good internal consistency results (α Cronbach = 0.797) and a moderate correlation between MIDAS-main scale and the physical component summary of SF-12 (Rho = - 0.326; p  less then   0.001). CONCLUSIONS The Spanish version of the MIDAS questionnaire is a valid and reliable tool to measure migraine-related disability in university subjects. The two additional items provide information that could help clinicians in making decisions.BACKGROUND Low cardiac output syndrome (LCOS) is an important complication of cardiac surgery. It is associated with increased morbidity and mortality. The incidence of LCOS after surgery is high in patients with congenital heart disease (CHD). Therefore, determining the risk factors of LCOS has clinical significance for the management of CHD. Tofacitinib This study aimed to analyze the risk factors of LCOS. METHODS We conducted a retrospective analysis of children with CHD who underwent cardiac surgery at Shanghai Children's Medical Center between January 1, 2014, and December 31, 2017. Demographic characteristics and baseline data were extracted from the health data resource center of the hospital, which integrates clinical routine data including medical records, diagnoses, orders, surgeries, laboratory tests, imaging, nursing, and other subsystems. Logistic regressions were performed to analyze the risk factors of LCOS. RESULTS Overall, 8660 infants with CHD were included, and 864 (9.98%) had LCOS after surgery. The m (1.009, 1.006-1.012, p  less then  0.001), myocardial preservation using histidine-tryptophan-ketoglutarate (1.677, 1.298-2.167, p  less then  0.001), and mitral insufficiency (1.714, 1.239-2.37, p  less then  0.001) were independent risk predictors of LCOS. CONCLUSIONS The incidence of postoperative LCOS in CHD children remains high. Circulation temperature, myocardial preservation using histidine-tryptophan-ketoglutarate, and usage of residual shunt after surgery were independent risk predictors for LCOS.BACKGROUND Personal genomics and comparative genomics are becoming more important in clinical practice and genome research. Both fields require sequence alignment to discover sequence conservation and variation. Though many methods have been developed, some are designed for small genome comparison while some are not efficient for large genome comparison. Moreover, most existing genome comparison tools have not been evaluated the correctness of sequence alignments systematically. A wrong sequence alignment would produce false sequence variants. RESULTS In this study, we present GSAlign that handles large genome sequence alignment efficiently and identifies sequence variants from the alignment result. GSAlign is an efficient sequence alignment tool for intra-species genomes. It identifies sequence variations from the sequence alignments. We estimate performance by measuring the correctness of predicted sequence variations. The experiment results demonstrated that GSAlign is not only faster than most existing state-of-the-art methods, but also identifies sequence variants with high accuracy.