Contemporary roles of registries in clinical cardiology: Insights from Western and Eastern European countries

Hall, Marlous; Cenko, Edina; Bueno, Héctor; Gale, Chris P

doi:10.1016/j.ijcard.2016.06.220

Cited by 6 publications

(3 citation statements)

References 29 publications

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“…Registries have many uses. (2,3) Depending on the information therein, registries allow quantification of 'disease burden' and the use of health services, and so can aid planning and commissioning of care. They can serve to chart the implementation of new technologies and form a repository for the long-term surveillance of implanted devices.…”

Section: Utility Of Clinical Registriesmentioning

confidence: 99%

Recycling existing data: a greener future for clinical registries

Weston

2018

European Heart Journal - Quality of Care and Clinical Outcomes

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Section: Utility Of Clinical Registriesmentioning

confidence: 99%

Recycling existing data: a greener future for clinical registries

Weston

2018

European Heart Journal - Quality of Care and Clinical Outcomes

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“…Compared to other Europeans, people residing in centraleastern European regions have been identified as having the most significant mortality prevalence due to CVEs, with Eastern Europeans having a shorter life expectancy, these lifespan inequalities being closely associated with variations in ICHD fatality rates. The fact that Eastern European countries with high prevalences of ICHD have increased rates of coronary revascularization is not sufficient to equally reduce the mortality caused by ischemic coronary pathologies in all these countries [9][10][11][12][13][14][15][16]. As the causal link between CVEs and exposure to high levels of low-density lipoprotein-cholesterol (LDL-C) has been established [17,18], recent studies have evaluated the degree to which LDL-C targets were being met in different European populations, taking into consideration the CV risk category of the patients included.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Cardiovascular Risk Categories and Achievement of Therapeutic Targets in European Patients with Type 2 Diabetes

Reurean-Pintilei,

Potcovaru,

Salmen

et al. 2024

JCM

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Background: Individuals diagnosed with type 2 diabetes mellitus (T2DM) are more prone to experiencing severe cardiovascular (CV) events, often occurring at a younger age, due to a complex interplay of risk factors. T2DM diagnosis inherently classifies patients as belonging to a higher CV risk group. In light of the increased susceptibility to severe CV outcomes, our study aims to assess the distribution of CV risk categories and the attainment of therapeutic targets among Romanian patients diagnosed with T2DM. Methods: A cross-sectional analysis was performed, including 885 patients diagnosed with T2DM who were consecutively admitted to a secondary care hospital unit between January and July 2019. Data collection included demographics, lipid profile, glycated hemoglobin (HbA1c), blood pressure (BP), estimated glomerular filtration rate (eGFR), and medication specifics for T2DM and associated conditions. Patients were stratified into CV risk categories based on the ESC/EAS guidelines, encompassing moderate, high, and very high risk categories. The rationale for selecting these guidelines for CV risk categories was that they were current and provided best practice recommendations for T2DM patients during the cross-sectional evaluation. We assessed therapeutic target achievement rates for LDL-C, HbA1C, and BP for each CV risk category. Additionally, we examined utilization rates of statins and novel cardio- and reno-protective, non-insulin antidiabetic medications. Results: The group’s average age was 62.9 ± 7.7 years and comprised 53.7% females. An average HbA1c level of 7.1 ± 1.3% was observed in the group. Within the cohort, 83% had hypertension, with a mean systolic BP of 132 ± 16.2 mm Hg and mean diastolic BP of 80 ± 9.6 mm Hg. Additionally, 64.6% of patients were obese, with a mean body mass index of 32.3 ± 5.3 kg/m2. Mean LDL-C levels varied across the different CV risk categories: 106.6 ± 35.6 mg/dL in the very high risk category, 113 ± 39.3 mg/dL in the high risk category, and 124.3 ± 38.3 mg/dL in the moderate risk category. Most treatment schemes included metformin (87.0%) and statins (67.0%), with variable use rates for other glucose-lowering and CV risk-modifying therapies. The percentage of patients using GLP-1 RAs was 8.1%, while 3.9% used SGLT2 inhibitors. Conclusions: Most Romanian patients with T2DM are at very high or high CV risk. Despite reaching glycemic control targets, most patients are not achieving the composite target, which includes, besides glycemic control, BP values and lipid profile. Many patients with T2DM are not benefiting from DM therapies with additional cardiorenal benefits or statins.

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“… 10 The Hospital Episode Statistics (HES) data warehouse of all admissions to National Health Service (NHS) hospitals in England provide an opportunity to study disease accrual patterns for a ‘real world’ nationwide population across the full breadth of conditions. 11 Whilst classical epidemiological methods, such as multistate models, are powerful for modelling known pathways of a limited number of disease states, they scale poorly beyond 10 or 15 conditions. Therefore, data-driven approaches, such as process mining, 12 which do not rely on a priori knowledge of the order of occurrence of events, are crucial to the discovery of novel trajectories.…”

Section: Introductionmentioning

confidence: 99%

Disease trajectories following myocardial infarction: insights from process mining of 145 million hospitalisation episodes

Hayward,

Batty,

Westhead

et al. 2023

eBioMedicine

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Contemporary roles of registries in clinical cardiology: Insights from Western and Eastern European countries

Cited by 6 publications

References 29 publications

Recycling existing data: a greener future for clinical registries

Recycling existing data: a greener future for clinical registries

Assessment of Cardiovascular Risk Categories and Achievement of Therapeutic Targets in European Patients with Type 2 Diabetes

Disease trajectories following myocardial infarction: insights from process mining of 145 million hospitalisation episodes

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