Ischemic cardiomyopathy: epidemiology, pathophysiology, outcomes, and therapeutic options.

Ischemic cardiomyopathy (ICM) is the most prevalent cause of heart failure (HF) in developed countries, with significant morbidity and mortality, despite constant improvements in the management of coronary artery disease. Current literature on this topic remains fragmented. Therefore, this review aimed to summarize the most recent data on ICM, focusing on its definition, epidemiology, outcomes, and therapeutic options. The most widely accepted definition is represented by a left ventricular dysfunction in the presence of significant coronary artery disease. The prevalence of ICM is largely influenced by age and sex, with older individuals and males being more affected. Its pathophysiology is characterized by plaque buildup, thrombus formation, hypoperfusion, ischemic cell death, and left ventricular remodeling. Despite improvements in therapy, ICM still represents a public health burden, with a 1-year mortality rate of 16% and a 5-year mortality rate of approximately 40% in the USA and Europe. Therefore, optimization of cardiovascular function, prevention of progressive remodeling, reduction of HF symptoms, and improved survival are the main goals of treatment. Therapeutic options for ICM include lifestyle changes, optimal medical therapy, revascularization, device therapy, mechanical circulatory support, and cardiac transplantation. Personalized management strategies and tailored patient care are needed to improve the outcomes of patients with ICM.

The Use of Quality Improvement Interventions in Reducing Rarely Appropriate Cardiac Imaging.

The use of cardiac imaging has become increasingly prevalent over the last decade. Approximately 10% to 15% of noninvasive cardiac imaging is ordered for rarely appropriate indications. The appropriate use criteria (AUC) for cardiac imaging were issued to decrease unnecessary testing and reduce health care costs. However, it remains unclear whether these efforts have been successful. This meta-analysis evaluates whether AUC quality improvement (QI) interventions effectively reduce inappropriate cardiac imaging. Databases were searched for studies reporting QI intervention effect aiming to reduce rarely appropriate noninvasive cardiac imaging based on AUC. Imaging modalities assessed include transthoracic echocardiography, stress echocardiography, and myocardial perfusion imaging. We searched Ovid MEDLINE, EMBASE, Scopus, Web of Science, Google Scholar, and EBSCO CINAHL. The primary end point was a decrease of rarely appropriate testing. The search was not restricted to time or publication status. The literature search identified 2,391 possible studies, 13 studies and 26,557 patients were included. Mean follow-up was 12 months (1 to 60 months). QI interventions were statistically significant in reducing rarely appropriate tests after the intervention compared with the control group (odds ratio [OR] 0.51, 95% confidence interval [CI] 0.41 to 0.64, p <0.01). The QI interventions were also assessed for persistence based on short-term (<3 months) and long-term (>3 months) efficacy. Both the short-term effect and long-term effect were persistent (OR 0.6, 95% CI 0.47 to 0.77, p <0.01 and OR 0.47, 95% CI 0.37 to 0.61, p <0.01, respectively). AUC QI interventions are associated with the successful decrease of inappropriate noninvasive cardiac testing with these effects persisting over time.

COVID-19-Related Circumstances for Hospital Readmissions: A Case Series From 2 New York City Hospitals.

OBJECTIVE: The aim of the study was to determine the main factors contributing to hospital readmissions and their potential preventability after a coronavirus disease 2019 (COVID-19) hospitalization at 2 New York City hospitals. METHODS: This was a retrospective study at 2 affiliated New York City hospitals located in the Upper East Side and Lower Manhattan neighborhoods. We performed case reviews using the Hospital Medicine Reengineering Network framework to determine potentially preventable readmissions among patients hospitalized for COVID-19 between March 3, 2020 (date of first case) and April 27, 2020, and readmitted to either of the 2 hospitals within 30 days of discharge. RESULTS: Among 53 readmissions after hospitalization for COVID-19, 44 (83%) were deemed not preventable and 9 (17%) were potentially preventable. Nonpreventable readmissions were mostly due to disease progression or complications of COVID-19 (37/44, 84%). Main factors contributing to potentially preventable readmissions were issues with initial disposition (5/9, 56%), premature discharge (3/9, 33%), and inappropriate readmission (1/9, 11%) for someone who likely did not require rehospitalization. CONCLUSIONS: Most readmissions after a COVID-19 hospitalization were not preventable and a consequence of the natural progression of the disease, specifically worsening dyspnea or hypoxemia. Some readmissions were potentially preventable, mostly because of issues with disposition that were directly related to challenges posed by the ongoing COVID-19 pandemic. Clinicians should be aware of challenges with disposition related to circumstances of the COVID-19 pandemic.

Type 2 diabetes impacts colorectal adenoma detection in screening colonoscopy.

BACKGROUND: Diabetes is associated with an increased risk of colorectal cancer (CRC). We conducted a retrospective analysis of adenoma detection rates (ADR) in initial screening colonoscopies to further investigate the role of diabetes in adenoma detection. METHODS: A chart review was performed on initial average risk screening colonoscopies (ages 45-75) during 2012-2015. Data collected included basic demographics, insurance, BMI, family history of CRC, smoking, diabetes, and aspirin use. Multivariable generalized linear mixed models for binary outcomes were used to examine the relationship between diabetes and variables associated with CRC risk and ADR. RESULTS: Of 2865 screening colonoscopies, 282 were performed on patients with type 2 diabetes (T2DM). Multivariable analysis suggested that T2DM (OR = 1.49, 95% CI:1.13-1.97, p = 0.0047) was associated with an increased ADR, as well as smoking, older age, higher BMI and male sex (all p < 0.05). For patients with T2DM, those not taking diabetes medications were more likely to have an adenoma than those taking medication (OR = 2.38, 95% CI:1.09-5.2, p = 0.03). CONCLUSION: T2DM has an effect on ADR after controlling for multiple confounding variables. Early interventions for prevention of T2DM and prescribing anti-diabetes medications may reduce development of colonic adenomas and may contribute to CRC prevention.

Confounders in Adenoma Detection at Initial Screening Colonoscopy: A Factor in the Assessment of Racial Disparities as a Risk for Colon Cancer.

BACKGROUND AND AIMS: The incidence and mortality of colorectal cancer is persistently highest in Black/African-Americans in the United States. While access to care, barriers to screening, and poverty might explain these findings, there is increased interest in examining biological factors that impact the colonic environment. Our group is examining biologic factors that contribute to disparities in development of adenomas prospectively. In preparation for this and to characterize a potential patient population, we conducted a retrospective review of initial screening colonoscopies in a cohort of patients. METHODS: A retrospective review was performed on initial average risk screening colonoscopies on patients (age 45-75 years) during 2012 at three institutions. Descriptive statistics and multivariable logistic regression models were used to examine the relationship between potential risk factors and the detection of adenomas. RESULTS: Of the 2225 initial screening colonoscopies 1495 (67.2%) were performed on Black/African-Americans and 566 (25.4%) on Caucasians. Multivariable logistic regression revealed that older age, male sex, current smoking and teaching gastroenterologists were associated with higher detection of adenomas and these were less prevalent among Black/African-Americas except for age. Neither race, ethnicity, BMI, diabetes mellitus, HIV nor insurance were associated with adenoma detection. CONCLUSION: In this sample, there was no association between race and adenoma detection. While this may be due to a lower prevalence of risk factors for adenomas in this sample, our findings were confounded by a lower detection rate by consultant gastroenterologists at one institution. The study allowed us to rectify the problem and characterize patients for future trials.