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arch integrating gender concerns to help inform performance-based health workforce financing policy options in the era of the Sustainable Development Goals.

There is a dearth of evidence on gender-based outcomes of publicly funded incentivizing physician payment schemes for chronic disease care. https://www.selleckchem.com/products/remodelin.html As the popularity of P4P to achieve health system goals continues to grow, so does the risk of unintended consequences. There is a critical need for research integrating gender concerns to help inform performance-based health workforce financing policy options in the era of the Sustainable Development Goals.

International studies indicate deficits in end-of-life care that can lead to distress for patients and their next-of-kin. The aim of the study was to translate and validate the "Care of the Dying Evaluation" (CODE) into German (CODE-GER).

Translation according to EORTC (European Organisation for Research and Treatment of Cancer) guidelines was followed by data collection to evaluate psychometric properties of CODE-GER. Participants were next-of-kin of patients who had died an expected death in two hospitals. They were invited to participate at least eight, but not later than 16 weeks after the patient's death. To calculate construct validity, the Palliative care Outcome Scale (POS) was assessed. Difficulty and perceived strain of answering the questionnaire were assessed by a numeric scale (0-10).

Out of 1137 next-of-kin eligible, 317 completed the questionnaire (response rate 27.9%). Data from 237 main sample participants, 38 interraters and 55 next-of-kin who participated for repeated measurement were analysed. Overall internal consistency, α = 0.86, interrater reliability, ICC (1) = 0.79, and retest-reliability, ICC (1, 2) = 0.85, were good. Convergent validity between POS and CODE-GER, r = -.46, was satisfactory. A principal component analysis with varimax rotation showed a 7-factor solution. Difficulty, M = 2.2; SD ± 2.4, and perceived strain, M = 4.1; SD ± 3.0, of completing the questionnaire were rather low.

The results from the present study confirm CODE-GER as a reliable and valid instrument to assess the quality of care of the dying person. More over our study adds value to the original questionnaire by proposing a deepened analysis of obtained data. The development of seven subscales increases its potential for further surveys and research.

This study was registered retrospectively on the 25th of January 2018 at the German Clinical Trials Register ( DRKS00013916 ).

This study was registered retrospectively on the 25th of January 2018 at the German Clinical Trials Register ( DRKS00013916 ).

Prediction of drug response based on multi-omics data is a crucial task in the research of personalized cancer therapy.

We proposed an iterative sure independent ranking and screening (ISIRS) scheme to select drug response-associated features and applied it to the Cancer Cell Line Encyclopedia (CCLE) dataset. For each drug in CCLE, we incorporated multi-omics data including copy number alterations, mutation and gene expression and selected up to 50 features using ISIRS. Then a linear regression model based on the selected features was exploited to predict the drug response. Cross validation test shows that our prediction accuracies are higher than existing methods for most drugs.

Our study indicates that the features selected by the marginal utility measure, which measures the conditional probability of drug responses given the feature, are helpful for drug response prediction.

Our study indicates that the features selected by the marginal utility measure, which measures the conditional probability of drug responses given the feature, are helpful for drug response prediction.

This study aimed to evaluate the benefit of brachial-ankle pulse wave velocity (baPWV) as a noninvasive marker of arterial stiffness for the prediction of all-cause and cause-specific mortality in patients with type 2 diabetes.

This multicenter prospective observational study analyzed 2308 patients with type 2 diabetes between 2008 and 2018. The patients were categorized according to the quartiles of baPWV. Cause of mortality was determined using death certificates and patient clinical records. We estimated proportional mortality rates from all causes, cardiovascular, cancer, and other causes among adults with diabetic status according to their baPWV. Cox regression models were used to estimate hazard ratios (HRs).

There were 199 deaths (8.6%) in the study population during a median follow-up duration of 8.6years. When baPWV was assessed as quartiles, a significantly higher risk of all-cause mortality (HR = 5.39, P < 0.001), cardiovascular-mortality (HR = 14.89, P < 0.001), cancer-mortality (HR = ch/search_result_st01.jsp?seq=16677.

This long-term, large-scale, multicenter prospective observational cohort study provide evidence that increased arterial stiffness, as measured by baPWV, predicts the risk of all-cause and cause-specific mortality in type 2 diabetes, supporting the prognostic utility of baPWV. Trial registration Clinical Research Information Service (CRIS), KCT 0005010. Retrospectively Registered May 12, 2020. https//cris.nih.go.kr/cris/search/search_result_st01.jsp?seq=16677.

The COVID-19 pandemic has led to more than 760,000 deaths worldwide (correct as of 16th August 2020). Studies suggest a hyperinflammatory response is a major cause of disease severity and death. Identitfying COVID-19 patients with hyperinflammation may identify subgroups who could benefit from targeted immunomodulatory treatments. Analysis of cytokine levels at the point of diagnosis of SARS-CoV-2 infection can identify patients at risk of deterioration.

We used a multiplex cytokine assay to measure serum IL-6, IL-8, TNF, IL-1β, GM-CSF, IL-10, IL-33 and IFN-γ in 100 hospitalised patients with confirmed COVID-19 at admission to University Hospital Southampton (UK). Demographic, clinical and outcome data were collected for analysis.

Age > 70 years was the strongest predictor of death (OR 28, 95% CI 5.94, 139.45). IL-6, IL-8, TNF, IL-1β and IL-33 were significantly associated with adverse outcome. Clinical parameters were predictive of poor outcome (AUROC 0.71), addition of a combined cytokine panel significantly improved the predictability (AUROC 0.