HEALTH MANAGEMENT WITH A SPECIAL FOCUS ON CARDIOVASCULAR DISEASE – STUDY OF INSTITUTION AT THE TERTIARY LEVEL

Purine metabolism in the circulatory system yields uric acid as its final oxidation product, which is believed to be linked to the development of gout and kidney stones. Hyperuricemia is closely correlated with cardiovascular disease, metabolic syndrome, and chronic kidney disease, as attested by the epidemiological and empirical research. In this review, we summarize the recent knowledge about hyperuricemia, with a special focus on its physiology, epidemiology, and correlation with cardiovascular disease. This review also discusses the possible positive effects of treatment to reduce urate levels in patients with cardiovascular disease and hyperuricemia, which may lead to an improved clinical treatment plan.

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DECADE LONG TEMPORAL TRENDS IN REVASCULARIZATION FOR PATIENTS WITH DIABETES MELLITUS: A REPORT FROM THE NORTHERN NEW ENGLAND CARDIOVASCULAR DISEASE STUDY GROUP

Journal of the American College of Cardiology ◽

10.1016/s0735-1097(21)02322-6 ◽

2021 ◽

Vol 77 (18) ◽

pp. 963

Author(s):

Jan H. Denkmann ◽

David Malenka ◽

Niveditta Ramkumar ◽

Cathy Ross ◽

Samip Vasaiwala ◽

...

Keyword(s):

Diabetes Mellitus ◽

Cardiovascular Disease ◽

New England ◽

Temporal Trends ◽

Study Group ◽

Patients With Diabetes ◽

Northern New England ◽

Disease Study

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Identification of Health Expenditures Determinants: A Model to Manage the Economic Burden of Cardiovascular Disease

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18094652 ◽

2021 ◽

Vol 18 (9) ◽

pp. 4652

Author(s):

Fiorella Pia Salvatore ◽

Alessia Spada ◽

Francesca Fortunato ◽

Demetris Vrontis ◽

Mariantonietta Fiore

Keyword(s):

Cardiovascular Disease ◽

Hospital Discharge ◽

Random Effects ◽

Economic Burden ◽

Linear Models ◽

Health Management ◽

Model Performance ◽

Real Data ◽

Large Set ◽

Regional Health

The purpose of this paper is to investigate the determinants influencing the costs of cardiovascular disease in the regional health service in Italy’s Apulia region from 2014 to 2016. Data for patients with acute myocardial infarction (AMI), heart failure (HF), and atrial fibrillation (AF) were collected from the hospital discharge registry. Generalized linear models (GLM), and generalized linear mixed models (GLMM) were used to identify the role of random effects in improving the model performance. The study was based on socio-demographic variables and disease-specific variables (diagnosis-related group, hospitalization type, hospital stay, surgery, and economic burden of the hospital discharge form). Firstly, both models indicated an increase in health costs in 2016, and lower spending values for women (p < 0.001) were shown. GLMM indicates a significant increase in health expenditure with increasing age (p < 0.001). Day-hospital has the lowest cost, surgery increases the cost, and AMI is the most expensive pathology, contrary to AF (p < 0.001). Secondly, AIC and BIC assume the lowest values for the GLMM model, indicating the random effects’ relevance in improving the model performance. This study is the first that considers real data to estimate the economic burden of CVD from the regional health service’s perspective. It appears significant for its ability to provide a large set of estimates of the economic burden of CVD, providing information to managers for health management and planning.

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