Wernicke's Encephalopathy (WE) Associated with Hyperemesis Gravidarum (HG) Presenting with Psychiatric Morbidity: Description of Two Cases.

Background: Hyperemesis gravidarum (HG) refers to intractable vomiting during pregnancy and is rarely associated with Wernicke's encephalopathy (WE). HG-associated WE can lead to mortality and permanent cognitive impairment if left untreated. In this report, we present two cases of WE following HG occurring in the context of comorbid severe depression.

Migraine and heart: A reality check.

Migraine is a common neurological disorder affecting 12% of the global population. The common risk factors are adolescent age, genetics, and female sex, and are triggered by hormonal fluctuations, emotional stress, sensory overload, weather changes, alcohol consumption, fasting, cheese, chocolate, smoked fish, yeast extract, cured meats, artificial sweeteners, food preservatives containing nitrates and nitrites, and sleep disturbances. Migraine with aura is associated with an increased risk of cardiovascular disease events, such as myocardial infarction, angina pectoris, and cardiac arrhythmias, and has recently been added to the QRISK3 cardiovascular disease prediction score.

The prevalence and outcomes of depression in older HIV-positive adults in Northern Tanzania: a longitudinal study.

Studies of depression and its outcomes in older people living with HIV (PLWH) are currently lacking in sub-Saharan Africa. This study aims to investigate the prevalence of psychiatric disorders in PLWH aged ≥ 50 years in Tanzania focussing on prevalence and 2-year outcomes of depression. PLWH aged ≥ 50 were systematically recruited from an outpatient clinic and assessed using the Mini-International Neuropsychiatric Interview (MINI).

Lung Nodule Detection via Optimized Convolutional Neural Network: Impact of Improved Moth Flame Algorithm.

Lung cancer is a high-risk disease that affects people all over the world, and lung nodules are the most common sign of early lung cancer. Since early identification of lung cancer can considerably improve a lung scanner patient's chances of survival, an accurate and efficient nodule detection system can be essential. Automatic lung nodule recognition decreases radiologists' effort, as well as the risk of misdiagnosis and missed diagnoses.