Hypertensive disorders of pregnancy, an umbrella term that includes preexisting and gestational hypertension, preeclampsia, and eclampsia, complicate up to 10% of pregnancies and represent a significant cause of maternal and perinatal morbidity and mortality. Despite the differences in guidelines, there appears to be consensus that severe hypertension and non-severe hypertension with evidence of end-organ damage need to be controlled; yet the ideal target ranges below 160/110 mmHg remain a source of debate. This review outlines the definition, pathophysiology, goals of therapy, and treatment agents used in hypertensive disorders of pregnancy.

The content and quality of medical information available on video sharing websites such as YouTube is not known. We analyzed the source and quality of medical information about Ebola hemorrhagic fever (EHF) disseminated on YouTube and the video characteristics that influence viewer behavior. An inquiry for the search term ‘Ebola’ was made on YouTube. The first 100 results were arranged in decreasing order of “relevance” using the default YouTube algorithm. Videos 1–50 and 51–100 were allocated to a high relevance (HR), and a low relevance (LR) video group, respectively. Multivariable logistic regression models were used to assess the predictors of a video being included in the HR vs. LR groups. Fourteen videos were excluded because they were parodies, songs or stand-up comedies (n = 11), not in English (n = 2) or a remaining part of a previous video (n = 1). Two scales, the video information and quality and index and the medical information and content index (MICI) assessed the overall quality, and the medical content of the videos, respectively. There were no videos from hospitals or academic medical centers. Videos in the HR group had a higher median number of views (186,705 vs. 43,796, p < 0.001), more ‘likes’ (1119 vs. 224, p < 0.001), channel subscriptions (208 vs. 32, p < 0.001), and ‘shares’ (519 vs. 98, p < 0.001). Multivariable logistic regression showed that only the ‘clinical symptoms’ component of the MICI scale was associated with a higher likelihood of a video being included in the HR vs. LR group.(OR 1.86, 95 % CI 1.06–3.28, p = 0.03). YouTube videos presenting clinical symptoms of infectious diseases during epidemics are more likely to be included in the HR group and influence viewers behavior.

Telemedicine training was not a substantial element of most residency programmes prior to the COVID-19 pandemic. Social distancing measures changed this. The Cleveland Clinic Internal Medicine Residency Programme (IMRP) is one of the largest programmes in the USA, which made the task of implementing a telemedicine curriculum more complex. Here we describe our experience implementing an effective, expedited telemedicine curriculum for our ambulatory resident clinics. This study was started in April 2020 when we implemented a resident-led curriculum and training programme for providing ambulatory telemedicine care. The curriculum was finalised in less than 5 weeks. It entailed introducing a formal training programme for residents, creating a resource guide for different video communication tools and training preceptors to safely supervise care in this new paradigm. Residents were surveyed before the curriculum to assess prior experience with telemedicine, and then afterward to assess the curriculum's effectiveness. We also created a mini-CEX assessment for residents to solicit feedback on their performance during virtual appointments. Over 2000 virtual visits were performed by residents in a span of 10 weeks. Of 148 residents, 38% responded to the pre-participation survey. A majority had no prior telemedicine experience and expressed only slight comfort with the modality. Through collaboration with experienced residents and faculty, we expeditiously deployed an enhancement to our ambulatory care curriculum to teach residents how to provide virtual care and help faculty with supervision. We share our insights on this experience for other residency programmes to use.

Background : Although the American Board of Internal Medicine (ABIM) certification is valued as a reflection of physicians’ experience, education, and expertise, limited methods exist to predict pe...

Summary: Isolated distal deep-vein thrombosis (DDVT) of the lower extremities can be associated with subsequent proximal deep-vein thrombosis (PDVT) and/or acute pulmonary embolism (PE). We aimed to develop a model predicting the probability of developing PDVT and/or PE within three months after an isolated episode of DDVT. We conducted a retrospective cohort study of patients with symptomatic DDVT confirmed by lower extremity vein ultrasounds between 2001–2012 in the Cleveland Clinic Health System. We reviewed all the ultrasounds, chest ventilation/perfusion and computed tomography scans ordered within three months after the initial DDVT to determine the incidence of PDVT and/or PE. A multiple logistic regression model was built to predict the rate of developing these complications. The final model included 450 patients with isolated DDVT. Within three months, 30 (7%) patients developed an episode of PDVT and/or PE. Only two factors predicted subsequent thromboembolic complications: inpatient status (OR, 6.38; 95 % CI, 2.17 to 18.78) and age (OR, 1.02 per year; 95 % CI, 0.99 to 1.05). The final model had a bootstrap bias-corrected c-statistic of 0.72 with a 95 % CI (0.64 to 0.79). Outpatients were at low risk ( 10%). Inpatients aged < 60 were at intermediate risk. We created a simple model that can be used to risk stratify patients with isolated DDVT based on inpatient status and age. The model might be used to choose between anticoagulation and monitoring with serial ultrasounds.