Characterization of Myocardial Injury With High-Sensitivity Troponin.

BACKGROUND: High-sensitivity troponin I, cardiac form (hs-cTnI) accelerates the assessment of acute coronary syndrome. Little has been documented about its performance, how it relates to different types of myocardial injury, and its impact on morbidity and mortality. This study sought to expand understanding of hs-cTnI by characterizing types of myocardial injury, the impact of comorbidities, and 30-day outcomes. METHODS: The study retrospectively evaluated 1,975 patients with hs-cTnI levels obtained in the emergency department or inpatient setting from June to September 2020. Troponin was considered elevated if it was higher than the 99th percentile for either sex. Charts were reviewed to determine the presence of myocardial injury. Troponin elevation was adjusted for demographics, comorbidities, and kidney dysfunction. Thirty-day mortality and readmission rates were calculated. RESULTS: Of 1,975 patients, 468 (24%) had elevated hs-cTnI, and 330 (17%) had at least 1 type of myocardial injury, type 2 myocardial infarction being the most frequent. Sensitivity and specificity using the 99th percentile as a cutoff were 99% and 92%, respectively. The average maximum hs-cTnI level was significantly higher for type 1 myocardial infarction (P < .001). Being male, Black, non-Hispanic, and a hospital inpatient were all associated with higher initial and peak hs-cTnI levels (P < .001). Elevated hs-cTnI level, age, heart disease, kidney dysfunction, and inpatient status were predictive of 30-day mortality on multivariate analysis. CONCLUSION: Elevated hs-cTnI levels in emergency department and inpatient settings occurs most commonly because of type 2 myocardial infarction. Maximum hs-cTnI level is associated with the patient's particular type of myocardial injury, certain demographics, and cardiovascular comorbidities, and it may be a predictor of 30-day outcomes.

Risk of Stroke in Older Adults With Heart Failure.

Heart failure (HF) is a risk factor for incident stroke. However, less is known about the independent nature of this association and to what extent various baseline characteristics may mediate this risk. Of the 5,795 community-dwelling adults aged ≥65 years in the Cardiovascular Health Study, 5,448 were free of baseline stroke, of whom 229 had baseline HF. We used a multivariable-adjusted Cox regression model to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for centrally adjudicated incident stroke associated with HF. Participants had a mean age of 73 years, 58% were women, and 15% were African-American. During 23 years of follow-up, incident stroke occurred in 18.8% and 19.3% of those with and without HF, respectively, but the time to first stroke was shorter in those with HF (age-gender-race-adjusted HR 1.64, 95% CI 1.21 to 2.25). The association remained essentially unchanged after adjustments for tobacco, alcohol, and physical activity (HR 1.63, 95% CI 1.21 to 2.24), attenuated after adjustment for hypertension, atrial fibrillation, myocardial infarction, and diabetes mellitus (HR 1.26, 95% CI 0.92 to 1.72), and further attenuated after additional adjustment for 10 baseline functional and subclinical variables (HR 1.05, 95% CI 0.76 to 1.46). In conclusion, despite a similar 23-year stroke incidence, time to first stroke was shorter in older adults with HF than without. However, this extra risk appears to be mediated primarily by 4 cardiovascular diseases that are also risk factors for HF. These findings highlight the importance of the primary prevention of these HF risk factors to reduce the extra risk of stroke in HF.

Leveraging Healthcare System Data to Identify High-Risk Dyslipidemia Patients.

PURPOSE OF REVIEW: While randomized controlled trials have historically served as the gold standard for shaping guideline recommendations, real-world data are increasingly being used to inform clinical decision-making. We describe ways in which healthcare systems are generating real-world data related to dyslipidemia and how these data are being leveraged to improve patient care. RECENT FINDINGS: The electronic medical record has emerged as a major source of clinical data, which alongside claims and pharmacy dispending data is enabling healthcare systems the ability to identify care gaps (underdiagnosis and undertreatment) in patients with dyslipidemia. Availability of this data also allows healthcare systems the ability to test and deliver interventions at the point-of-care. Real-world data possess great potential as a complement to randomized controlled trials. Healthcare systems are uniquely positioned to not only define care gaps and areas of opportunity, but to also to leverage tools (e.g., clinical decision support, case identification) aimed at closing them.

A Gut Feeling: Acute Liver Failure - An Unusual Manifestation of Malignant Catatonia.

We present a rare case in which malignant catatonia led to acute liver failure (ALF). A 19-year-old male was admitted for psychosis and developed ALF with a peak aspartate aminotransferase and alanine aminotransferase of 5,728 U/L and 7,735 U/L, respectively, and a peak international normalized ratio of 7.1. Liver biopsy showed significant confluent necrosis involving >70% of the liver tissue. He was listed for a liver transplant but was ultimately taken off of because of significant improvement with treatment by N-acetylcysteine infusion. Through our research, we found that symptoms of hepatitis can be seen with psychotic disorders, but ALF is rare.

Price Transparency: Empowering Patient Choice and Promoting Provider Competition.

In light of recent health policy efforts to promote price transparency, this perspective reviews the challenges and benefits of price transparency. These price transparency efforts include the recent executive order and associated rulemaking directing providers to disclose negotiated and out-of-pocket costs for "shoppable" healthcare services. First, we explore the previous efforts of states and health plans targeted at price transparency, reviewing lessons for future implementation. Second, we address the value of price transparency in light of various policy concerns and objections. Finally, we jointly hypothesize potential effects of and opportunities presented by price transparency for patients, physicians, and other healthcare industry stakeholders.