The purpose of the current study is to evaluate the incidence of age-related macular degeneration (AMD) in dyslipidemia-related diseases with or without the use of fibrate. Patients were defined as dyslipidemia-related diseases according to the diagnostic code and lab exam arrangement, then the population was divided into those with fibrate application and those without via 1:2 ratios of propensity-score matching. The primary outcome is the development of AMD after dyslipidemia-related diseases by the Cox proportional hazard regression. Besides, the relationship between the medical compliance of fibrate, presented as medical possession ratio (MPR), and the AMD development was also analyzed. A total of 22,917 patients and 45,834 individuals were enrolled in the study and control groups. There were 572 and 1181 events of any AMD development in the study and control groups which showed identical risk of AMD (aHR: 0.94, 95% CI: 0.85-1.04). However, a reduced risk of any AMD was found in those patients reached a baseline MPR more than 20% (aHR: 0.729, 95% CI: 0.599-0.887, = 0.0016) and overall MPR more than 5% three years after the diagnosis of dyslipidemia-related diseases (aHR: 0.712, 95% CI: 0.557-0.909, = 0.0065). Besides, a lower risk of dry-AMD was also found in those patients with the above conditions (aHR: 0.736, 95% CI: 0.599-0.906, = 0.0038 and aHR: 0.721, 95% CI: 0.557-0.934, = 0.0133, respectively). In conclusion, the use of fibrate with fair initial medical compliance will decrease the incidence of AMD in patients with dyslipidemia-related diseases, especially for the development of dry-AMD.
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http://dx.doi.org/10.3390/ijerph18010301 | DOI Listing |
BMC Public Health
July 2024
Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
Background: Dyslipidemia, characterized by variations in plasma lipid profiles, poses a global health threat linked to millions of deaths annually.
Objectives: This study focuses on predicting dyslipidemia incidence using machine learning methods, addressing the crucial need for early identification and intervention.
Methods: The dataset, derived from the Lifestyle Promotion Project (LPP) in East Azerbaijan Province, Iran, undergoes a comprehensive preprocessing, merging, and null handling process.
Zhonghua Nei Ke Za Zhi
March 2024
No.2 Department of Infectious Diseases, Tianjin Second People's Hospital, Tianjin 300192, China.
J Clin Lipidol
June 2024
epHealth UK, C/O Taylor Vinters, Floor 33 Tower 42, 25 Old Broad Street, London, EC2N 1HQ, United Kingdom (Pereira); Instituto epHealth, 2302 Consolação Street, CJ 21, Room 104, Consolação, Sao Paulo, SP, Postal Code 01302-001, Brazil (Pereira).
Background: Statins are the main strategy to reduce dyslipidemia-related cardiovascular risk. Nevertheless, there is scarce evidence on the real-world statins use in primary care settings in low-middle-income countries.
Objective: We conducted a cross-sectional retrospective study using anonymized data routinely collected by community health workers in Brazil aimed to evaluate statin use and associated factors in a primary prevention population with cardiovascular risk enhancers.
J Int Soc Sports Nutr
December 2023
National Institute of Sports Medicine, Center for Sports Nutrition, Beijing, China.
Background: Accumulation of body fat and dyslipidemia are associated with the development of obesity and cardiometabolic diseases. Moreover, the degree to which lipids can be metabolized has been cited as a determinant of cardiometabolic health and prolonged endurance capacity. In the backdrop of increasing obesity and cardiometabolic diseases, lipid metabolism and its modulation by physical activity, dietary adjustments, and supplementation play a significant role in maintaining health and endurance.
View Article and Find Full Text PDFArch Public Health
July 2023
Viatris, Jeddah, Saudi Arabia.
Background: In recent years, Saudi Arabia has witnessed staggering rates of hypertension and dyslipidemia-related cardiovascular (CV) deaths, overburdening the healthcare ecosystem of the country. Appropriate public health interventions can be devised through quantitative mapping of evidence. Identification of potential data gaps can prioritize future research needs and develop a 'best-fit' framework for patient-centric management of hypertension and dyslipidemia.
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