A novel approach to accurately measuring the burden of hospitalisations for cardiovascular disease in people with diabetes: A pilot study.

AIM: To determine the reliability of hospital discharge codes for heart failure (HF), acute myocardial infarction (AMI) and stroke compared with adjudicated diagnosis, and to pilot a scalable approach to adjudicate records on a population-based sample. METHODS: A population-based sample of 685 people with diabetes admitted (1274 admissions) to one of three Australian hospitals during 2018-2020 were randomly selected for this study. All medical records were reviewed and adjudicated. RESULTS: Cardiovascular diseases were the most common primary reason for hospitalisation in people with diabetes, accounting for ~17% (215/1274) of all hospitalisations, with HF as the leading cause. ICD-10 codes substantially underestimated HF prevalence and had the lowest agreement with the adjudicated diagnosis of HF (Kappa = 0.81), compared with AMI and stroke (Kappa ≥ 0.91). While ICD-10 codes provided suboptimal sensitivity (72%) for HF, the performance was better for AMI (sensitivity 84%; specificity 100%) and stroke (sensitivity 85%; specificity 100%). A novel approach to screen possible HF cases only required adjudicating 8% (105/1274) of records, correctly identified 78/81 of HF admissions and yielded 96% sensitivity and 98% specificity. CONCLUSIONS: While ICD-10 codes appear reliable for AMI or stroke, a more complex diagnosis such as HF benefits from a two-stage process to screen for suspected HF cases that need adjudicating. The next step is to validate this novel approach on large multi-centre studies in diabetes.

Pericoronary Adipose Tissue as a Marker of Cardiovascular Risk: JACC Review Topic of the Week.

Vascular inflammation is a key driver in atherosclerotic progression and plaque rupture. Recent evidence has shown that coronary computed tomography provides a noninvasive method of quantifying coronary inflammation by mapping changes in pericoronary adipose tissue (PCAT) radiodensity, which are associated with cardiovascular diseases. However, there are significant knowledge gaps in the performance and measurement of PCAT that complicate its interpretation. In this review the authors aim to summarize the role of PCAT in cardiac imaging and explore the clinical implications and applicability as a novel biomarker of cardiovascular risk, as well as to discuss its limitations and potential pitfalls.

Novel Non-pharmaceutical Advancements in Heart Failure Management: The Emerging Role of Technology.

PURPOSE OF REVIEW: To summarise and discuss the implications of recent technological advances in heart failure care. RECENT FINDINGS: Heart failure remains a significant source of morbidity and mortality in the US population despite multiple classes of approved pharmacological treatments. Novel cardiac devices and technologies may offer an opportunity to improve outcomes. Baroreflex Activation Therapy and Cardiac Contractility Remodelling may improve myocardial contractility by altering neurohormonal stimulation of the heart. Implantable Pulmonary Artery Monitors and Biatrial Shunts may prevent heart failure admissions by altering the trajectory of progressive congestion. Phrenic Nerve Stimulation offers potentially effective treatment for comorbid conditions. Smartphone applications offer an intriguing strategy for improving medication adherence. SUMMARY: Novel heart failure technologies offer promise for reducing this public health burden. Randomized controlled studies are indicated for assessing the future role of these novel therapies.

The impact of cultural and linguistic diversity on hospital readmission in patients hospitalized with acute heart failure.

AIMS: Health services worldwide face the challenge of providing care for increasingly culturally and linguistically diverse (CALD) populations. The aims of this study were to determine whether CALD patients hospitalized with acute heart failure (HF) are at increased risk of rehospitalization and emergency department (ED) visitation after discharge, compared to non-CALD patients, and within CALD patients to ascertain the impact of limited English proficiency (LEP) on outcomes. METHODS AND RESULTS: A cohort of 1613 patients discharged from hospital following an episode of acute HF was derived from hospital administrative datasets. CALD status was based on both country of birth and primary spoken language. Comorbidities, HF subtype, age, sex and socioeconomic status, and hospital readmission and ED visitation incidences, were compared between groups. A Cox proportional hazard model was employed to adjust for potential confounders. The majority of patients were classified as CALD [1030 (64%)]. Of these, 488 (30%) were designated as English proficient (CALD-EP) and 542 (34%) were designated CALD-LEP. Compared to non-CALD, CALD-LEP patients exhibited a greater cumulative incidence of HF-related readmission and ED visitation, as expressed by an adjusted hazard ratio (HR) [1.27 (1.02-1.57) and 1.40 (1.18-1.67), respectively]; this difference was not significant for all-cause readmission [adjusted HR 1.03 (0.88-1.20)]. CALD-EP showed a non-significant trend towards increased rehospitalization and ED visitation. CONCLUSION: This study suggests that CALD patients with HF, in particular those designated as CALD-LEP, have an increased risk of HF rehospitalization and ED visitation. Further research to elucidate the underlying reasons for this disparity are warranted.