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Type 3 MR was caused by coronary artery vasospasm with apical leaflet tenting. Treatments varied depending on the underlying cause and included cardiac resynchronization therapy for type 1, surgical valve replacement for type 2, and medical therapy for type3.

Paroxysmal severe MR is a rare cause of heart failure in patients with preserved LV function. We have identified 3 distinct mechanisms that can lead to this dynamic process, with treatments varying based on the underlying cause.

Paroxysmal severe MR is a rare cause of heart failure in patients with preserved LV function. We have identified 3 distinct mechanisms that can lead to this dynamic process, with treatments varying based on the underlying cause.

To examine differences in community mobility reduction and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outcomes across counties with differing levels of socioeconomic disadvantage.

The sample included counties in the United States with at least one SARS-CoV-2 case between April 1 and May 15, 2020. Outcomes were growth in SARS-CoV-2 cases, SARS-CoV-2-related deaths, and mobility reduction across three settings retail/recreation, grocery/pharmacy, and workplace. The main explanatory variable was the social deprivation index (SDI), a composite socioeconomic disadvantage measure.

Adjusted differences in outcomes between low-, medium-, and high-SDI counties (defined by tertile) were calculated using linear regression with state-fixed effects. SJ6986 research buy Workplace mobility reduction was 1.75 (95% CI, -2.36 to -1.14; P<.001) and 3.48 percentage points (95% CI, -4.21 to -2.75; P<.001) lower for medium- and high-SDI counties relative to low-SDI counties, respectively. Mobility reductions in the otherese findings are consistent with evidence demonstrating that economically disadvantaged communities have been disproportionately impacted by the coronavirus disease 2019 pandemic. Efforts to socially distance may be more burdensome for these communities, potentially exacerbating disparities in SARS-CoV-2-related outcomes.

To investigate the influences of non-vitamin K antagonist oral anticoagulants (NOACs) on rates of initiations of oral anticoagulants (OACs) and outcomes among elderly patients with atrial fibrillation (AF).

From January 1, 2009, to December 31, 2015, 33,539 newly-diagnosed AF patients older than 85 years old who survived more than 180 days after AF diagnosis were studied. Temporal trends regarding OAC initiation rates after incident AF were analyzed. The 1-year risks of ischemic stroke, intracranial hemorrhage, and mortality of incident AF patients diagnosed each year were compared with that of the year2009.

Initiation rates of OACs after AF was newly diagnosed in the elderly significantly increased from 9.5% to 34.3%, mainly due to the introduction of NOACs (from 0% to 26.2%). Several clinical factors were associated with OACs underuse, including chronic obstructive pulmonary disease, abnormal renal function, anemia, and history of bleeding. Compared with year 2009 (incidence rate, 5.55%/year), the 1-year risk of ischemic stroke after AF diagnosis decreased in the era of NOACs (incidence rate, 4.20%/year; adjusted hazard ratio [aHR], 0.748 in year 2012; 4.39%/year, aHR, 0.789 in 2014; 2.75%/year; aHR, 0.513 in year 2015; all P<.01, except for year 2013, 4.80%/year [P=.07]). Also, the risks of mortality were lower in years 2012 to 2015, while the risk of ICH remained unchanged.

Initiation rates of OACs after AF was newly diagnosed in the elderly significantly increased following the introduction of NOACs. A lower risk of ischemic stroke, mortality, and composite adverse events was observed, which was temporally associated with the increasing prescription rates of OACs.

Initiation rates of OACs after AF was newly diagnosed in the elderly significantly increased following the introduction of NOACs. A lower risk of ischemic stroke, mortality, and composite adverse events was observed, which was temporally associated with the increasing prescription rates of OACs.

To investigate the relationship between maximal exercise capacity measured before severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and hospitalization due to coronavirus disease 2019 (COVID-19).

We identified patients (≥18 years) who completed a clinically indicated exercise stress test between January 1, 2016, and February 29, 2020, and had a test for SARS-CoV-2 (ie, real-time reverse transcriptase polymerase chain reaction test) between February 29, 2020, and May 30, 2020. Maximal exercise capacity was quantified in metabolic equivalents of task (METs). Logistic regression was used to evaluate the likelihood that hospitalization secondary to COVID-19 is related to peak METs, with adjustment for 13 covariates previously identified as associated with higher risk for severe illness from COVID-19.

We identified 246 patients (age, 59±12 years; 42% male; 75% black race) who had an exercise test and tested positive for SARS-CoV-2. Among these, 89 (36%) were hospitalized. Peak METs were ise capacity is associated with lower risk of complications due to viral infections, such as COVID-19.Medications to treat disease and extend life in our patients often amass in quantities, resulting in what has been termed "polypharmacy." This imprecise label usually describes the accumulation of 5, and often more, medications. Polypharmacy in advancing age frequently results in drug therapy problems related to interactions, drug toxicity, falls with injury, delirium, and nonadherence. Polypharmacy is associated with resulting increased hospitalizations and higher costs of care for individuals and health care systems. To reduce polypharmacy, we delineate a systematic, consultative approach to identify highest-risk medications and drug-therapy problems. We address strategic reductions (deprescribing) of medications in palliative care, long-term care, and ambulatory older adults. Best practices for reducing opioids, benzodiazepines, and other high-risk medications include education about risk and agreement by patients and their families, advocates, and care teams. Addressing deprescribing should be within the framework of patients' health status as their care and goals transition from longevity to a plan of maintaining alertness, comfort, and satisfaction of quality of life.