Activity

48 and 0.92, respectively. Models predicting hospitalization had an AUC of 0.47 to 0.84. Nineteen studies (63%) used logistic regression, 53% random forests, and 37% of studies used decision trees to build predictive models. None of the models were built or externally validated using data originating from Africa or the Middle-East.

The variation in the aetiologies of heart failure, limited access to structured health data, distrust in machine learning techniques among clinicians and the modest accuracy of existing predictive models are some of the factors precluding the widespread use of machine learning derived risk calculators.

The variation in the aetiologies of heart failure, limited access to structured health data, distrust in machine learning techniques among clinicians and the modest accuracy of existing predictive models are some of the factors precluding the widespread use of machine learning derived risk calculators.

Data on the epidemiology and treatment of atrial fibrillation in the Africa/Middle East region are limited, and the use of novel oral anticoagulants and their effectiveness in real-world clinical practice has not been evaluated.

This study used prospectively collected data from the Global Registry on Long-Term Oral Antithrombotic Treatment in Patients With Atrial Fibrillation (GLORIA-AF) to describe anticoagulant use and outcomes in Africa and the Middle East. Baseline characteristics of patients newly diagnosed with nonvalvular atrial fibrillation from Lebanon (242 patients, 40.3%), Saudi Arabia (236 patients, 39.3%), United Arab Emirates (87 patients, 14.5%), and South Africa (35 patients, 5.8%) were described, and clinical outcomes were investigated for all patients in this region who received dabigatran.In newly diagnosed patients (having a diagnosis within the last three months) with nonvalvular atrial fibrillation in Africa and the Middle East, the observed uptake of non-vitamin K oral anticoagulant77).

In the STEMI paradigm of Acute Myocardial Infarction (AMI), many NSTEMI patients have unrecognized acute coronary occlusion MI (OMI), may not receive emergent reperfusion, and have higher mortality than NSTEMI patients without occlusion. We have proposed a new OMI vs. Non-Occlusion MI (NOMI) paradigm shift. We sought to compare the diagnostic accuracy of OMI ECG findings vs. formal STEMI criteria for the diagnosis of OMI. We hypothesized that blinded interpretation for predefined OMI ECG findings would be more accurate than STEMI criteria for the diagnosis of OMI.

We performed a retrospective case-control study of patients with suspected acute coronary syndrome. The primary definition of OMI was either 1) acute TIMI 0-2 flow culprit or 2) TIMI 3 flow culprit with peak troponin T

≥

1.0ng/mL or I

≥

10.0ng/mL.

808 patients were included, of whom 49% had AMI (33% OMI; 16% NOMI). Sensitivity, specificity, and accuracy of STEMI criteria vs Interpreter 1 using OMI ECG findings among 808 patients were 41% vs 86%, 94% vs 91%, and 77% vs 89%, and for Interpreter 2 among 250 patients were 36% vs 80%, 91% vs 92%, and 76% vs 89%. STEMI(-) OMI patients had similar infarct size and mortality as STEMI(+) OMI patients, but greater delays to angiography.

Blinded interpretation using predefined OMI ECG findings was superior to STEMI criteria for the ECG diagnosis of Occlusion MI. These data support further investigation into the OMI vs. NOMI paradigm and suggest that STEMI(-) OMI patients could be identified rapidly and noninvasively for emergent reperfusion using more accurate ECG interpretation.

Blinded interpretation using predefined OMI ECG findings was superior to STEMI criteria for the ECG diagnosis of Occlusion MI. These data support further investigation into the OMI vs. NOMI paradigm and suggest that STEMI(-) OMI patients could be identified rapidly and noninvasively for emergent reperfusion using more accurate ECG interpretation.

One of the most comprehensive approaches to depression is the biopsychosocial model. From this wider perspective, social sciences have criticized the reductionist biomedical discourse, which has been dominating expert discourses for a long time. As these discourses determine the horizon of attributions and interventions, their lay interpretation plays a central role in the coping with depression.

In order to map these patterns, online depression forums are analyzed with natural language processing methods, where computational tools are complemented with a qualitative approach. Latent Dirichlet Allocation topic model of depression-related posts from the most popular English-speaking online health discussion forums (N=~70000) reveals the monolog (attributions and self-disclosures) and interactive (consultations and quasi-therapeutic interactions) patterns.

Following the evaluation of various models 18 topics were differentiated

referring to health, family, partnership and work issues;

referring to c.

A vast literature has demonstrated that several mother-related variables are positively associated with their daughters’ sexual and reproductive outcomes. One underexplored variable is sexual empowerment–a subdimension of empowerment. In this study, we explore if maternal sexual empowerment is predictive of adolescent daughters’ outcomes like early sexual initiation, teenage pregnancy, and contraception use.

This study uses data from the 2018 National Health and Nutrition Survey of Ecuador (Ensanut), a cross-sectional survey in Ecuador that measures health and nutrition. We examine whether mothers’ sexual empowerment–measured as a woman’s autonomy in sexual relationships and her ability to turn down sex and demand contraception use from her partner–is predictive of sexual and reproductive outcomes among female adolescent children. Logistic regression was performed to test this association.

Results showed that having a mother who lacked sexual empowerment increased the odds of early sexual initiation.on forms of bias in surveys regarding sexual activity among adolescents.

This paper examines whether the usage of the concept of

in Canada-based research aligns with traditional Indigenous notions of health and wellness.

A comprehensive search of the literature was conducted using primary databases, including Scholars Portal, ProQuest Social Science, Sociological Abstracts (ProQuest), OVID Healthstar, Embase, Medline, Pubmed and Google Scholar. Papers discussing

and Indigenous Health were selected and analyzed through Nvivo12 to generate common themes across the studies.

The analysis identified three major themes that focused on

as it relates to climate change, zoonosis, and social relationships between humans and animals. Climate change was seen to have affected the environmental health of Northern latitude areas where many Indigenous communities reside. ABL001 Bcr-Abl inhibitor Infectious diseases within Indigenous communities were a frequent topic of study and indicated that infections transmitted by dogs are likely to be addressed with

interventions.

interventions are likely to equally address the health of humans, animals, and the environment.