ulmonary gas exchange during EVLP.

These data indicate that administration of tezosentan could improve pulmonary gas exchange during EVLP.

To observe cumulative morbidity of postoperative inguinal hernia (PIH) and identify risk factors associated with its development in patients who underwent retropubic radical prostatectomy (RRP), laparoscopic prostatectomy (LRP) or robotic assisted laparoscopic prostatectomy (RALP) operation.

From June 2009 to September 2016, 756 patients diagnosed with localized prostate cancer who had undergone RRP, LRP or RALP in our center were included in this study. Patients with PIH were retrospectively investigated in such factors as age, BMI, previous abdominal operations, diabetes mellitus history, hypertension history, prostate volume, previous hernia, operative methods, operative approach, preoperative Gleason, clinical T-stage, PLND situation, operative time, and estimated blood loss. Univariate and multivariate cox hazard regressions analysis were utilized to identify risk factors predisposing to PIH.

A total of 53 of 751(7.1%) patients developed PIH at a median follow-up period of 43 months. PIH rate in RRP was significantly higher compared to LRP and RALP group (RRP 15.3%, LRP 6.7%, RALP1.9%, P = 0.038). Right side (69.8%) and indirect (88.8%) PIH were dominant type in hernia group. Univariate and multivariate cox hazard regressions analysis indicated that age and RRP approach were identified to be implicated to PIH [adjusted hazard ratio7.39(1.18-46.39), 2.93(95% CI 1.47-5.84)].

RRP technique and older age, especially patients over 80 years, are associated with higher incidence for PIH development. Appropriate prophylaxis during the operation should be evaluated for those in high-risk.

RRP technique and older age, especially patients over 80 years, are associated with higher incidence for PIH development. Appropriate prophylaxis during the operation should be evaluated for those in high-risk.

In 2017, ostomy patients gained access to ostomy products in community pharmacies that are fully reimbursed by the Portuguese National Health Service. This impacted the daily lives of people with ostomy and opened a new market of products and services for pharmacies. However, little is known about the sociodemographic and clinical profile of ostomy patients. This study aims to characterize people with ostomy and their caregivers, evaluate access and satisfaction with the pharmacy and explore participants’ expectations regarding services and counselling.

This was an observational, cross-sectional, multicentre study involving pharmacy users who acquired ostomy products in Portuguese community pharmacies. Data were collected through a confidential self-report questionnaire between June and August 2019.

Approximately 56% of the participants were ostomy patients, of whom 65.9% were men. The average age of participating ostomy patients was 65.5 years old (SD = 12.9), and near 80% were retired/pensioners. Careage of ostomy nursing care, highlight the opportunity for an extended role of pharmacists among this group.

The learning environment is one of the most influential factors in training of medical residents. The Dutch Residency Educational Climate Test (D-RECT) is one of the strongest instruments for measuring the learning environment. However, it has not been translated in French. The objective of this study is the psychometric validation of the DRECT French version.

After translation of the D-RECT questionnaire into French, residents of five Moroccan hospitals were invited to complete the questionnaire between July and September 2018. Confirmatory factor analysis was used to evaluate the validity of the construct using the standardized root mean square residual (SRMR), the root mean square error approximation (RMSEA), the Comparative Fit Index (CFI) and the Tucker- Lewis Index (TLI). Reliability analysis was analysed using Internal consistency and Test-retest.

During the study period, 211 residents completed the questionnaire. Confirmatory factor analysis showed an adequate model fit with the following indicators SRMR = 0.058 / RMSEA = 0.07 / CFI = 0.88 / TLI = 0.87. The French translation had a good internal consistency (Cronbach alpha score > 0.7 for all subscales) and a good temporal stability (correlation score between two measurements = 0.89).

This French version has an acceptable validity of the construct, a good internal consistency and good temporal reliability, and may be used to evaluate the learning climate. Additional research is necessary in other French-speaking contexts, in order to confirm these results.

This French version has an acceptable validity of the construct, a good internal consistency and good temporal reliability, and may be used to evaluate the learning climate. Additional research is necessary in other French-speaking contexts, in order to confirm these results.

With cardiovascular disease increasing, substantial research has focused on the development of prediction tools. We compare deep learning and machine learning models to a baseline logistic regression using only 'known’ risk factors in predicting incident myocardial infarction (MI) from harmonized EHR data.

Large-scale case-control study with outcome of 6-month incident MI, conducted using the top 800, from an initial 52 k procedures, diagnoses, and medications within the UCHealth system, harmonized to the Observational Medical Outcomes Partnership common data model, performed on 2.27 million patients. We compared several over- and under- sampling techniques to address the imbalance in the dataset. We compared regularized logistics regression, random forest, boosted gradient machines, and shallow and deep neural networks. A baseline model for comparison was a logistic regression using a limited set of 'known’ risk factors for MI. Hyper-parameters were identified using 10-fold cross-validation.

Twenty thousand Five hundred and ninety-one patients were diagnosed with MI compared with 2.25 million who did not. A deep neural network with random undersampling provided superior classification compared with other methods. However, the benefit of the deep neural network was only moderate, showing an F1 Score of 0.092 and AUC of 0.835, compared to a logistic regression model using only 'known’ risk factors. Calibration for all models was poor despite adequate discrimination, due to overfitting from low frequency of the event of interest.

Our study suggests that DNN may not offer substantial benefit when trained on harmonized data, compared to traditional methods using established risk factors for MI.

Our study suggests that DNN may not offer substantial benefit when trained on harmonized data, compared to traditional methods using established risk factors for MI.

Age-related macular degeneration (AMD) is a chronic eye condition that leads to permanent vision loss in the central visual field. AMD makes reading challenging and inefficient. People with AMD often find it difficult to access, process and understand written patient education materials (PEMs). To promote health literacy, the demands of written PEMs must match the literacy capacities of the target audience. This study aims to evaluate the readability (grade level) and suitability (appropriateness) of online PEMs designed for people with AMD.

Online PEMs were sourced from websites of national organizations providing patient education materials designed for people with AMD. The Flesch-Kincaid Grade Level formula and the Suitability Assessment of Materials instrument were used to assess the readability and suitability of PEMs. Descriptive statistics were used to compare online PEMs by organization based on national guidelines for readability level (≤ sixth grade) and the recommended suitability score (≥ 70%)ealth information must match the reading capacities of the target audience. Heeding to evidence-based guidelines for providing written information to patients with low health literacy and low vision is beneficial for both patients and health care providers. Future research is warranted.

According to the Latin America Association for palliative care, Brazil offers only 0.48 palliative care services per 1 million inhabitants. In 2012, no accredited physicians were working in palliative care, while only 1.1% of medical schools included palliative care education in their undergraduate curricula. As a reflection of the current scenario, little research about end-of-life care has been published so that studies addressing this subject in the Brazilian setting are crucial.

A cross-sectional study study conducted with students applying for the medical residency of the Federal University of São Paulo were invited to voluntarily participate in an anonymous and self-administered questionnaire survey. The latter included demographic information, attitudes, prior training in end-of-life care, prior end-of-life care experience, the 20-item Palliative Care Knowledge Test (PCKT) and a consent term.

Of the 3086 subjects applying for residency, 2349 (76%) answered the survey, 2225 were eligible for analyroving palliative training, especially those involving contact with dying patients.

Psychiatric disorders and ocular neurovascular diseases may share a similar pathophysiological route of vascular structures or neurological changes. The aim of this study is to investigate the association between ocular neurovascular diseases and the risk of major psychiatric disorders.

This was a retrospective case-control, population-based study including patients aged ≥20 and were diagnosed between 1997 and 2013. Ocular neurovascular diseases diagnosed between 1997 and 2006 and newly diagnosed psychiatric disorders including bipolar disorder (BD), major depressive disorder (MDD), and schizophrenia between 2007 and 2013 were registered. Patients were propensity-score matched with control groups without psychiatric disorders in each cohort based on selected covariates.

A total of one million sampled patients in the database were categorized based on their diagnoses; 2243 (37.4% men) were categorized into the BD group, 10,110 (35.2% men) into the MDD group, and 1623 (43.1% men) into the schizophrenia group. In the BD group, all glaucoma (OR 1.49, [1.18-1.89]), open-angle glaucoma (OR 2.08, [1.34-3.24]), and closed-angle glaucoma (OR 2.12, [1.36-3.33]) showed statistical significance of risk. In the MDD group, age-related macular degeneration (OR 1.33, [1.13-1.57]), all glaucoma (OR 1.24, [1.11-1.37]), open-angle glaucoma (OR 1.47, [1.21-1.80]), and dry eye syndrome (OR 1.22, [1.13-1.31]) were associated with a significantly higher risk. In the schizophrenia group, only all glaucoma (OR 1.47, [1.02-2.11]), glaucoma suspect (OR 1.88, [1.01-3.49]), and open-angle glaucoma (OR 2.19, [1.13-4.26]) showed statistical significance.

In this population-based study, ocular neurovascular diseases, especially glaucoma, were associated with increased risks of BD, MDD, and schizophrenia.

In this population-based study, ocular neurovascular diseases, especially glaucoma, were associated with increased risks of BD, MDD, and schizophrenia.

The causal effects of plasma lipid concentrations and the risk of primary open angle glaucoma (POAG) are still unclear. Thus, the purpose of this study was to identify, applying a two-sample Mendelian randomization (MR) analysis, whether plasma lipid concentrations are causally associated with the risk of POAG.

Two-sample MR analysis of data from a genome-wide association study (GWAS) was performed to investigate the causal role of plasma lipid levels and POAG. A total of 185 independent single-nucleotide polymorphisms (SNPs) associated with plasma lipid levels were selected as instrumental variables (IVs). The SNPs were obtained from a meta-analysis of GWAS based on 188,577 European-ancestry individuals for MR analyses. Association with POAG for the SNPs was obtained from a GWAS conducted among the United Kingdom (UK) Biobank study participants with a total of 463,010 European-ancestry individuals. Four MR methods (inverse variance weighted [IVW], weighted mode, weighted median, and MR-Egger regression) were applied to obtain the overall causal estimate for multiple, instrumental SNPs.