Polypharmacy and pattern of medication use among patients with gastroesophageal reflux disease: results from Pars Cohort study.

BACKGROUND: Gastroesophageal Reflux Disease (GERD) is a common chronic condition. Its chronic nature may affect the pattern of medication use. This study aimed to investigate the prevalence, associated factors, and patterns of polypharmacy and medication use among GERD patients in southwestern Iran. METHODS: We used data from the Pars Cohort Study. We classified drugs using the Anatomical Therapeutic Chemical classification system. The Lexicomp® database was used to assess potential drug-drug interactions. Multivariable Poisson regression was applied. Adjusted prevalence ratio (PR) and its 95% confidence interval (CI) were estimated. RESULTS: A total of 9262 participants were included. Among 2,325 patients with GERD, age-standardized prevalence of polypharmacy was 9.5% (95% CI: 7.5%, 11.6%) in males, and 19.3% (95% CI: 17.2%, 21.4%) in females. The PR of experiencing Polypharmacy by GERD patients compared to non-GERD patients was 1.82 (95% CI: 1.61, 2.05%). Multimorbidity (PR: 3.33; CI: 2.66, 4.15), gender (PR: 1.68; CI: 1.30, 2.18), and metabolic syndrome (PR: 1.77; CI: 1.45, 2.15) were associated with polypharmacy among GERD patients. Drugs for acid-related disorders were the most common used drugs among men, women and elders. We found that 13.9%, 4.2%, and 1.1% of GERD patients had type C, D and X drug interactions, respectively. CONCLUSION: GERD is correlated with a higher prevalence of polypharmacy. Among GERD patients, females, those with multi-morbidities, and those with metabolic syndrome may be affected more by polypharmacy. Considering the fairly high rate of interactions identified, a review of the medication list is essential when approaching GERD patients, and physicians must check for medications that may worsen GERD.

Terminal T-wave concordance is associated with SYNTAX score among left bundle branch block patients suspected of acute coronary syndrome without modified Sgarbossa criteria.

BACKGROUND: Timely and precise diagnosis of ischemic cardiac events based on electrocardiogram is challengeable among patients with Left Bundle Branch Block (LBBB). The present study aimed to assess the correlation between SYNTAX score and terminal T-wave morphologies among LBBB patients suspected of Acute Coronary Syndrome (ACS) without modified Sgarbossa criteria. METHOD: This cross-sectional study was conducted on the LBBB patients suspected of ACS without modified Sgarbossa criteria. Binary logistic regression was used to assess the correlation of ischemic heart disease (IHD, SYNTAX score > 0) and SYNTAX score categories with terminal T-wave morphologies including T-wave direction in lead V6 and terminal T-wave concordance in leads I, V5, and V6. RESULT: This study was done on 93 patients with the mean age of 62.4 ± 9.6 years. More than half of the patients were female (58.1%, 95% CI: 47.4% to 68.2%). Among the participants with IHD, the SYNTAX score categories were correlated to discordant terminal T-wave in leads I, V5, and V6 (OR = 5.71, 95% CI: 1.04 to 31.28, p = 0.04). CONCLUSION: Among the LBBB patients with acute ischemic cardiac events without modified Sgarbossa criteria, those with discordant terminal T-waves in leads I, V5, or V6 had higher SYNTAX scores and might require more invasive coronary revascularization techniques such as Coronary Artery Bypass Graft (CABG) surgery.

Population-based pattern of medication use and prevalence of polypharmacy among patients with cardiovascular diseases: results of the Pars cohort study from Iran.

BACKGROUND: Polypharmacy in patients with cardiovascular diseases (CVDs) has been linked to several adverse outcomes. This study aimed to investigate the pattern of medication use and prevalence of polypharmacy among CVDs patients in Iran. METHOD: We used the baseline data of the Pars cohort study (PCS). The participants were asked to bring their medication bags; then, the medications were classified using the Anatomical Therapeutic Chemical classification. Polypharmacy was defined as using five or more medications concurrently. Poisson regression modeling was applied. The adjusted prevalence ratios (PR) and its 95% confidence interval (CI) were estimated. RESULTS: Totally, 9262 participants were enrolled in the PCS, of whom 961 had CVDs. The prevalence of polypharmacy in participants with and without CVDs was 38.9% and 7.1%, respectively. The highest prevalence of polypharmacy (51.5%) was among obese patients. Abnormal waist-hip ratio (PR: 2.79; 95% CI 1.57-4.94), high socioeconomic status (PR: 1.65; 95% CI 1.07-2.54), tobacco-smoking (PR: 1.35; 95% CI 1.00-1.81), patients with more than three co-morbidities (PR: 1.41; 95% CI 1.30-1.53), high physical activity (PR: 0.66; 95% CI 0.45-0.95), use of opiate ever (PR: 0.46; 95% CI 0.26-0.82), and healthy overweight subjects (PR: 0.22; 95% CI 0.12-0.39) were associated with polypharmacy. Cardiovascular drugs (76.1%), drugs acting on blood and blood-forming organs (50.4%), and alimentary tract and metabolism drugs (33.9%) were the most frequently used drugs. Agents acting on the renin-angiotensin system were the mostly used cardiovascular system drugs among men and those above 60 years old, while beta-blocking agents were mostly prevalent among cardiovascular system drugs in women with CVDs. CONCLUSION: Given the high prevalence of polypharmacy among CVDs patients, and subsequent complications, programs to educate both physicians and patients to prevent this issue is crucial.

Evidence-based practice in traditional persian medicine (TPM): a stakeholder and social network analysis.

BACKGROUND: The utilization of complementary and alternative medicine (CAM) is experiencing a global surge, accompanied by the adoption of national CAM policies in numerous countries. Traditional Persian medicine (TPM) is highly used as CAM in Iran, and the ongoing scientific evaluation of its interventions and the implementation of evidence-based medicine (EBM) encounters various barriers. Therefore, comprehending the characteristics and interactions of stakeholders is pivotal in advancing EBM within TPM policies. In this study, we utilized both classical stakeholder analysis and social network analysis to identify key stakeholders and potential communication patterns, thereby promoting EBM in TPM policy-making. METHODS: A cross-sectional nationwide stakeholder analysis was conducted in 2023 using snowball sampling. The interviews were carried out using a customized version of the six building blocks of health. Data were collected through semi-structured interviews. Stakeholders were assessed based on five factors (power, interest, influence, position, and competency). The connections and structure of the network were analyzed using degree, betweenness, closeness centrality, and modularity index to detect clusters of smaller networks. RESULTS: Among twenty-three identified stakeholders, the Ministry of Health and Medical Education (MOHME) and the Public were the most powerful and influential. The Iranian Academy of Medical Sciences was the most competent stakeholder. Social network analysis revealed a low density of connections among stakeholders. Pharmaceutical companies were identified as key connectors in the network, while the Public, supreme governmental bodies, and guilds acted as gatekeepers or brokers. The MOHME and Maraji were found to be high-ranking stakeholders based on four different centrality measures. CONCLUSION: This study identifies powerful stakeholders in the network and emphasizes the need to engage uninterested yet significant stakeholders. Recommendations include improving competence through education, strengthening international relations, and fostering stronger relationships. Engaging key connectors and gatekeepers is essential for bridging gaps in the network.