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Early vascular ageing contributes to cardiovascular (CV) morbidity and mortality. There are different possibilities to calculate vascular age including methods based on CV risk scores, but different methods might identify different subjects with early vascular ageing. We aimed to compare SCORE and Framingham Risk Score (FRS)-based vascular age calculation methods on subjects that were involved in a national screening program in Hungary. We also aimed to compare the distribution of subjects identified with early vascular ageing based on estimated pulse wave velocity (ePWV). The Three Generations for Health program focuses on the development of primary health care in Hungary. One of the key elements of the program is the identification of risk factors of CV diseases. Vascular ages based on the SCORE and FRS were calculated based on previous publications and were compared with chronological age and with each other in the total population and in patients with hypertension or diabetes. ePWV was calculated based on a method published previously. Supernormal, normal, and early vascular ageing were defined as <10%, 10–90%, and >90% ePWV values for the participants. In total, 99,231 subjects were involved in the study, and among them, 49,191 patients had hypertension (HT) and 15,921 patients had diabetes (DM). The chronological age of the total population was 54.0 (48.0–60.0) years, while the SCORE and FRS vascular ages were 59.0 (51.0–66.0) and 64.0 (51–80) years, respectively. In the HT patients, the chronological, SCORE, and FRS vascular ages were 57.0 (51.0–62.0), 63.0 (56.0–68.0), and 79.0 (64.0–80.0) years, respectively. In the DM patients, the chronological, SCORE, and FRS vascular ages were 58.0 (52.0–62.0), 63.0 (56.0–68.0), and 80.0 (76.0–80.0) years, respectively. Based on ePWV, the FRS identified patients with an elevated vascular age with high sensitivity (97.3%), while in the case of the SCORE, the sensitivity was much lower (13.3%). In conclusion, different vascular age calculation methods can provide different vascular age results in a population-based cohort. The importance of this finding for the implementation in CV preventive strategies requires further studies. [ABSTRACT FROM AUTHOR]

Introduction: The "Taking the screening tests in place" program offers cardiovascular screening activities to the inhabitants of underprivileged settlements., Objective: Evaluation of the health status and cardiovascular risk of the Roma and non-Roma population in underprivileged settlements., Method: Information was collected about the demography, lifestyle, current illnesses, access to healthcare and the quality of patient information. General health check (body weight, height, blood pressure, blood sugar, ankle-brachial index) and cardiovascular examination were performed. Data were analyzed in Roma and non-Roma groups with Pearson's chi-squared test., Results: 3649 people participated in the study (851 [23%] men, 2798 [77%] women), 16% (598) of the investigated population belonged to the Roma population. The mean age of men in the general population was 58 years and of women 55 years, in the Roma population 48 years and 47 years. People in the Roma population smoked more often (men 45%, women 64%) than people in the general population (both sexes 30%). In the Roma population, the consumption of sugary soft drinks at least four times a week (men 55% vs. women 43%) and the BMI (men 30 vs. 29, woman 29 vs. 28) were significantly higher. In the Roma population, 31% of the men and 13% of the women thought that their health status was bad, while in the general population it was 17% of men and 8% of women. Incidence of COPD (18% vs. 9%), coronary disease (18% vs. 13%), peripheral artery disease (13% vs. 9%) was significantly higher in the Roma population among women., Conclusion: In the investigated population, the Roma inhabitants were significantly younger, smoked more, they were more obese, the chronic diseases were more common among them, and they considered their health status worse than the general population. Orv Hetil. 2023; 164(20): 792-799.

Introduction: Several international studies have already confirmed the importance of the socioeconomic status of acute myocardial infarction patients in terms of patient care and prognosis. To our knowledge, a nationwide examination of this kind has not yet taken place in Hungary. The investigation of this problem field was made possible by the fact that from January 1, 2014, all healthcare providers must record the data of patients treated with a diagnosis of acute myocardial infarction in the database of the Hungarian Myocardial Infarction Registry (HUMIR)., Objective: In this study, the authors searched for an answer to whether the complex development index (CDI) in Hungary's 174 districts and 23 capital districts influences the treatment and prognosis of acute myocardial infarction patients., Method: Based on the CDI worked out by the Hungarian Central Statistical Office, the authors divided the Hungarian districts into low (CDI&#95;L), medium (CDI&#95;M) and high (CDI&#95;H) CDI groups according to their values. They examined the incidence, hospital treatment and prognosis of acute myocardial infarction in these administrative-territorial units. The HUMIR included 66,253 patients treated by myocardial infarction between 2015 and 2019. Their place of residence could be identified based on the zip code and in which district it was located. In the examined population, 29,101 patients with ST-elevation (STEMI) and 37,152 without ST-elevation (NSTEMI) received treatment for acute myocardial infarction., Results: In the population over 15 years of age, the age-standardized incidence of STEMI was 68.8 per 100,000 inhabitants a year in the CDI&#95;L group and 52.7 per 100,000 inhabitants a year in the CDI&#95;H group. Almost the same values were found in all three CDI subgroups of NSTEMI incidence (69.5 and 67 per 10,000 inhabitants a year). The frequency of percutaneous coronary intervention in the case of STEMI was higher than in NSTEMI, but within the groups, CDI did not influence the performance of this treatment. In the case of STEMI, the rates of patients who underwent percutaneous coronaria intervention in all three CDI subgroups (CDI&#95;L, CDI&#95;M, CDI&#95;H) were 83.5%, 83.7%, 83.5%, while in the case of NSTEMI they were 57.4%, 57.7%, 57.3%. The authors applied a Cox multivariate regression analysis to examine myocardial infarction mortality. The CDI did not affect the 30-day mortality rates in the case of any myocardial infarction: the hazard ratio (HR) values were 0.906 and 0.914 (p = 0.04659; p = 0.04686) in the case of STEMI, while 1.067 and 1.001 (p = 0.16520; p = 0.98933) in the case of NSTEMI. In the case of a STEMI diagnosis, the risk of the 30-364-day and the 1-year mortality in the subgroup of CDI&#95;H was significantly lower (HR = 0.822 and 0.816) than in the subgroup of CDI&#95;L (p = 0.00096 and p = 0.00001). In the case of NSTEMI diagnosis, the authors found a difference in the risk of beyond 1-year mortality by comparing the districts in the subgroup of CDI&#95;L with the districts in CDI&#95;H: in the latter case, the HR of the mortality was 0.876, which was significantly lower (p = 0.00029) than in the subgroup of CDI&#95;L., Conclusion: The CDI has independent prognostic significance in determining the late prognosis of acute myocardial infarction patients. Orv Hetil. 2022; 163(47): 1862-1871.

Background and Purpose: In the "Three Generations for Health" programme, general practitioners were responsible for screening for dementia in their practices using mini-COG and Mini Mental State Examination. The aim was to present the screening results of those included, their assessment by the doctor and the further fate of the patients., Methods: After mini-COG test, MMSE test was performed in case of suspected dementia. The examiner categorized the result as abnormal or no abnormal, recorded the referral, and recorded the data in an online interface. Our study is a cross-sectional study; the evolution and distribution of the parameters described in the objectives are described with raw case numbers and proportions. Patients aged 55 years and over were recruited consecutively. Only those cases (29 730) where mini-COG and MMSE test results were available, their assessment by the physician, and referral data to specialist care were analyzed., Results: The Mini-COG test revealed that 64% of the subjects were suspected of cognitive decline. Misclassification occurred in 13 015 cases, with 21% of the Mini-Cog test scores matching cognitive decline and 21% of lesions considered abnormal by GPs. The MMSE test raised the suspicion of dementia in 34% of the sample (10 174 people), with 4 262 (42%) of the participating GPs considering the result abnormal. 11% (2095 people) of people with abnormal Mini-Cog test scores and 17% (1709 people) of people with suspected dementia based on MMSE test scores were referred to specialist care., Conclusion: Our study assessed the practice of detecting cognitive decline in primary health care. The tools adopted for screening for dementia were used by practices, but the assessment of results and referral of suspected cases of dementia to specialist care were below the expected level. There is a need to improve primary care providers' knowledge of dementia detection and treatment and to strengthen links with specialist care.

Introduction: In patients who have survived myocardial infarction, platelet aggregation inhibitor (TAG) treatment plays an important role in preventing recurrent ischemic events. Objective: to investigate the proportion of patients who received aspirin, clopidogrel, prasugrel and ticagrelor during the hospitalization and the proportion of patients who continued taking the recommended therapy during follow-up. All patients treated for myocardial infarction who had a medical ID number were included in the study. Results: 16 273 patients had ST-elevation (STEMI) and 20 305 patients had non-ST-elevation (NSTEMI) infarction. 80% of patients were hypertensive. Diabetes mellitus (35%) and impaired renal function (30%) were demonstrated in one in three patients. The TAG treatment recommendation was analysed in 36 578 patients who left the hospital. Clopidogrel 12.7%, prasugrel 4.3%, ticagrelor, 93.9%, 77.7%, 8.3% and 3.2% were found in the NSTEMI group. For medicines available under special conditions (prasugrel, ticagrelor), there were significant differences between cen­tres: the proposal varied between 1.2–4.3% for prasugrel and 0.3–10.8% for ticagrelor. Drug switching events were monitored using the National Institute of Health Insurance Fund database. Pharmacovigilance data were available for 29 405 patients. We considered the longest period in the adherence study, and the grace period was 2 months. Adherence durations were processed using a standard survival analysis toolkit (Kaplan–Meier method). At 1 year after the first switch, 76.1%, 78.3%, and 80.9% of the patients in clopidogrel, prasugrel and ticagrelor were adherents to the recommended treatment. Conclusion: The frequency of use of certain antiplatelet drugs varies significantly across different intervention centres. More than three-quarters of the patients are adherent to treatment 1 year after starting treatment.

Background: Patients with their given complaints and symptoms expect certain diagnoses to be estimated with the same probability when seen by different family doctors. These estimations showed extreme variation among family doctors in Switzerland. The present study investigated whether there is any difference in the probabilities of the same diagnoses given by Hungarian doctors and, if so, what the responsible factors are. Estimates given by specialists, residents of family medicine, and medical students were also compared., Material/methods: In this cross-sectional study, 484 family physicians, 124 medical residents, and 148 medical students completed a questionnaire that assessed the diagnostic probability of six clinical scenarios., Results: Medians and ranges of probability were almost the same in both countries. Significant negative correlation was observed between age and the estimation of COPD among the family physicians (Spearman's r=-0.231, p<0.001). This correlation was even more expressed in men and was independent of gender, previous specialization in internal medicine or pulmonology, and the location of practice. Family physicians rated the probability of myocardial infarction higher than the residents (p<0.01). They also rated the probability of congestive heart disease higher than the medical students (p<0.001). Women residents and students gave higher estimates in almost all clinical settings than did men., Conclusions: Diagnostic estimates of the same clinical scenarios vary widely among Hungarian family doctors, residents, and medical students. The independent inverse relationship between the doctor's age and his/her estimate of the probability of COPD underscores the need to intensify education on this disease.