{"paper_id":"3a9eb289-4c95-4b3e-b765-6e87ebb04bf6","body_text":"Trends in Comorbidities and Medication Use Among Type 2 Diabetes Patients in Iran: A Gender-Specific Analysis (2021–2023) | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Trends in Comorbidities and Medication Use Among Type 2 Diabetes Patients in Iran: A Gender-Specific Analysis (2021–2023) Mahfam Alijaniha, Mahdin Alijaniha, Mahdi Mirzaalimohammadi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7376319/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Aims : This study aimed to examine the prevalence of cardiovascular diseases, hypertension, hypothyroidism, and mental health disorders among patients with type 2 diabetes (T2D) attending the Qaem Clinic in Qazvin, Iran, from 2021 to 2023. The study also evaluated trends in medication use and clinical outcomes, focusing on gender differences. Methods : A quantitative descriptive registry-based study was conducted using electronic health records. Adult patients diagnosed with T2D who attended the clinic at least once during the study period were included. Key variables analyzed included demographic data, clinical diagnoses, medication use patterns, hemoglobin A1c (HbA1c) levels, and annual medication costs. Statistical analyses included descriptive statistics, independent t-tests, Chi-square tests, and ANOVA for trend analysis. Results : From 2021 to 2023, the number of T2D patients increased from 2,391 to 2,739, with a consistent gender distribution favoring women (61.5% to 61.6%). The prevalence of heart failure decreased from 20.1% to 16.9%, while hypertension increased from 55.0% to 56.1%. Medication trends showed a decline in metformin use from 53.7% to 50.0%, alongside an increase in sulfonylureas from 6.2% to 14.2%. The average HbA1c level rose from 6.7% to 7.0% (p=0.03), reflecting worsening glycemic control. Annual medication costs surged from 5,191,089,880 R in 2021 to 16,622,679,312 R in 2023. Conclusion : The analysis reveals a growing prevalence of comorbidities among T2D patients and highlights concerning trends in medication management and glycemic control. The findings underscore the need for gender-specific healthcare strategies, enhanced adherence to clinical guidelines, and cost-effective management solutions to improve patient outcomes. Type 2 diabetes cardiovascular disease hypertension medication use gender differences clinical outcomes Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Introduction Type 2 diabetes (T2D) has reached pandemic proportions, with 537 million adults affected worldwide in 2021, a number projected to rise to 643 million by 2030 [ 1 ]. This growth is disproportionately concentrated in low- and middle-income countries, where health systems are often ill-equipped to manage the disease's long-term complications [ 1 ]. The Eastern Mediterranean region, including Iran, faces particular challenges due to rapid urbanization, dietary shifts, and sedentary lifestyles [ 2 ]. Iran exemplifies this crisis, with one of the highest T2D prevalence rates in the region. Recent studies estimate that 11.4% of Iranian adults (over 6 million people) have been diagnosed with diabetes, while an additional 9 million remain in pre-diabetic stages [ 3 ]. Projections suggest a 100% increase in T2D prevalence by 2050, demanding urgent action [ 4 ]. Diabetes is the eighth leading cause of global mortality, with CVD accounting for 65% of deaths among T2D patients [ 5 ]. Iranians with T2D face a 2–4 times higher risk of ischemic heart disease and stroke compared to non-diabetics, exacerbated by hypertension (prevalence: 70%) [ 6 , 7 ]. Despite advances in management, glycemic control remains suboptimal in Iran, with only 30% of patients achieving HbA1c targets [ 8 ]. Recent evidence shows that women account for nearly half of T2D cases globally, yet gender disparities in complications remain understudied in Iran. [ 15 ] Recent studies have shown that heart failure frequently occurs in patients with type 2 diabetes even without prior coronary heart disease, leading to high mortality and hospitalization rates (Khan et al., 2019). This highlights the need for comprehensive cardiovascular risk management in diabetic patients beyond traditional atherosclerotic factors.[ 13 , 17 ] Polypharmacy further complicates T2D management, affecting 19.3% of older adults and increasing hospitalization risks [ 9 ]. However, data on its impact in Iran are scarce. Additionally, multimorbidity (e.g., diabetes with hypertension or mental health disorders) affects 35% of chronic disease patients, escalating costs and disability. [ 10 ] With Iran’s aging population projected to reach 21.7% by 2050, tailored strategies for comorbid T2D are imperative [ 11 ]. This study examines the prevalence of CVD, hypertension, and medication trends among T2D patients at Qaem Clinic (2021–2023), with a focus on gender disparities. By analyzing real-world data from a high-burden region, we aim to inform context-specific interventions and address critical gaps in Iran’s diabetes care. While regional studies have examined T2D comorbidities in the Middle East (Alketbi et al., 2025), none have longitudinally analyzed gender-specific trends in medication use within Iran’s socioeconomic context, marking this study’s novelty. Method 2.1 Study Design A regional registry-based study using Qaem Clinic’s electronic health records was conducted to assess the prevalence of cardiovascular diseases (CVDs), hypertension, hypothyroidism, and mental health disorders among patients with type 2 diabetes mellitus (T2D) attending Qaem Clinic in Qazvin, Iran, from 2021 to 2023. The study also evaluated medication use patterns, glycemic control via HbA1c levels, and other relevant laboratory parameters. The registry-based approach allowed for comprehensive longitudinal data analysis within a real-world clinical setting. 2.2 Setting Qaem Clinic is a multidisciplinary outpatient facility serving a diverse patient population in Qazvin, Iran. The clinic provides specialized care for patients with diabetes and other chronic diseases, maintaining detailed electronic health records (EHRs) that facilitate longitudinal patient monitoring. 2.3 Participants Inclusion Criteria: Adults aged 18 years or older with a confirmed diagnosis of T2D based on established clinical criteria (e.g., ADA guidelines). At least one documented clinic visit between January 2021 and December 2023. Exclusion Criteria: Patients diagnosed with type 1 diabetes mellitus. Records with incomplete or missing critical data elements necessary for analysis. 2.4 Data Extraction and Quality Control Data were extracted systematically from the clinic’s electronic health records using standardized diagnostic codes based on the International Classification of Diseases, 10th Revision (ICD-10), to identify T2D and comorbid conditions (e.g., I20–I25 for ischemic heart disease, I50 for heart failure). Laboratory values and medication prescriptions were retrieved using structured query language (SQL) queries within the EHR system. To ensure data accuracy and minimize bias, a two-step quality control process was implemented: initially, two independent researchers extracted and cross-verified the data. Discrepancies were resolved through consensus, and a biostatistician conducted a final verification of the dataset. This approach reduced the risk of misclassification and incomplete data capture, enhancing the reliability of study findings (12). Missing data (>5% for key variables) were excluded, and sensitivity analyses confirmed robustness. 2.5 Variables Demographic Data: Age, sex, and duration of diabetes. Clinical Data: Presence of cardiovascular diseases (ischemic heart disease, heart failure), hypertension, hypothyroidism, and mental health disorders as identified by ICD-10 codes and clinical notes. Treatment Outcomes: Blood pressure measurements, HbA1c levels (median values reported annually), and fasting plasma glucose. Medication Use: Proportions of patients prescribed metformin, sulfonylureas, alpha-glucosidase inhibitors, insulin (regular and NPH), and other relevant drugs. Cost Data: Annual total drug therapy costs in Iranian Rials. 2.6 Statistical Analysis Descriptive statistics were used to summarize continuous variables as means ± standard deviations and categorical variables as frequencies and percentages. Group comparisons between genders were performed using independent samples t-tests for continuous variables and Chi-square tests for categorical variables. Trends over the three years (2021-2023) were assessed using one-way Analysis of Variance (ANOVA). Additionally, multivariable models were applied to analyze trends controlling for potential confounding factors, adjusting for age, sex, and diabetes duration. Statistical significance was considered at a p-value < 0.05. All analyses were performed using SPSS version 26 and R software (14). 2.7 Sample Size All eligible T2D patients registered at Qaem Clinic from 2021 to 2023 were included, totaling between 2,391 and 2,739 individuals per year. This comprehensive inclusion minimized selection bias and enhanced the generalizability of findings within the clinic population. Result The gender distribution among patients with diabetes at the Qaem Clinic from 2021 to 2023 shows a consistent trend, with women representing a higher percentage than men. Specifically :(figure1) -In 2021, women comprised 61.50% of the patient population, while men accounted for 38.50%. -In 2022, this trend continued with women at 62.20% and men at 37.80%. -By 2023, the distribution remained similar, with women at 61.60% and men at 38.40%. The analysis of antihyperglycemic medication usage over the years reveals significant trends: (Figure 2) - Metformin prescriptions decreased from 53.70% in 2021 to 50.00% in 2023, indicating a possible shift towards alternative treatments. - The use of sulfonylureas increased from 6.20% to 14.20%, suggesting a growing reliance on these medications. - Other medications like thiazolidinediones and alpha-glucosidase inhibitors saw minimal changes, with thiazolidinediones decreasing slightly from 2.00% to 1.80%, while alpha-glucosidase inhibitors rose from 0.40% to 1.50%. The prevalence of comorbidities among patients with diabetes showed notable changes: (Figure 3) - The rate of heart failure decreased from 20.10% in 2021 to 16.90% in 2023. - Conversely, hypertension increased from 55.00% to 56.10%, indicating ongoing challenges in managing blood pressure. - The prevalence of hypothyroidism rose from 5.00% to 7.10%, and mental health disorders increased from 2.30% to 3.60%. The data on HbA1c levels and insulin usage highlight critical trends: (Figure 4) - The average HbA1c level increased from 1.10% in 2021 to 1.50% in 2023, indicating worsening glycemic control. - Metformin usage remained consistent at around 54%, decreasing slightly to 50%, while insulin prescriptions saw a slight increase from 1.05% to 1.60%. The analysis of annual medication costs for patients with diabetes at the Qaem Clinic from 2021 to 2023 reveals a significant upward trend in expenses: (Figure 5) In 2021, the total cost of medications was 5,191,089,880. This amount increased dramatically in 2022 to 10,687,145,494, nearly doubling the expenditure compared to the previous year. By 2023, the costs further escalated to 16,622,679,312, indicating a continued rise in the financial burden associated with diabetes management. Costs surged from 5.2 billion IRR (~ $12,000 PPP) in 2021 to 16.6 billion IRR (~ $39,000 PPP) in 2023. Discussion 4.1 Summary of Key Findings Data from Qaem Clinic between 2021 and 2023 reveal important trends in the management of patients with type 2 diabetes. As shown in Fig. 1 , women constituted 61.5% of patients in 2021, suggesting the need for gender-sensitive healthcare strategies. A notable decline in metformin use (from 53.7–50.0%) occurred alongside a significant increase in sulfonylurea prescriptions (from 6.2–14.2%). While heart failure prevalence decreased, rates of hypertension, hypothyroidism, and mental health disorders increased, indicating ongoing challenges in managing comorbidities. Alarmingly, average HbA1c levels rose from 6.7–7.0%, reflecting worsening glycemic control, which coincided with a slight increase in insulin use (from 1.05–1.60%). Additionally, annual medication costs more than tripled over the study period, highlighting a growing financial burden on patients. 4.2 Comparative Analysis with Global Studies and Guidelines The observed reduction in metformin use contrasts with international clinical guidelines such as those from the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD), which recommend metformin as the first-line therapy for type 2 diabetes due to its efficacy, safety, and cardiovascular benefits (ADA, 2023; Davies et al., 2022). The increased reliance on sulfonylureas, which are generally considered second-line agents with higher risks of hypoglycemia and weight gain, may reflect local prescribing practices influenced by drug availability, cost considerations, or physician preferences. Similar trends have been reported in some low- and middle-income countries where economic constraints affect medication choices (Mendis et al., 2019). This divergence from guideline-recommended therapy underscores the need for targeted educational initiatives and policy interventions to align treatment with best practices. The significant rise in medication costs parallels the economic challenges facing Iran, including inflation, currency devaluation, and international sanctions that have disrupted pharmaceutical supply chains (World Bank, 2023). These factors likely contribute to increased drug prices and reduced affordability, which may drive shifts toward older, less expensive medications like sulfonylureas despite their less favorable safety profiles. Contrary to declining sulfonylurea use in Gulf countries (Alketbi et al., 2025), our findings reflect Iran’s reliance on older therapies, likely due to economic sanctions limiting access to newer agents. 4.3 Gender and Regional Differences Women accounted for a consistently higher proportion of registered diabetic patients at Qaem Clinic. This may be due to multiple factors, including greater healthcare-seeking behavior among women, cultural norms facilitating women’s access to clinical care, or biological differences influencing diabetes prevalence and progression (Azizi et al., 2019). Regional lifestyle factors and social determinants of health may also play a role. Unfortunately, detailed demographic data such as age, education, or socioeconomic status stratified by gender were not available in this study, limiting deeper analysis. Future research incorporating stratified analyses could clarify these disparities and guide gender-specific interventions. 4.4 Implications for Research and Clinical Practice The findings highlight several important areas for future research and clinical focus: - Treatment patterns: Investigate reasons behind the decline in metformin use and rise in sulfonylurea prescriptions, including patient adherence, side effects, and economic factors. - Comorbidity management: Develop integrated care models that address the increasing burden of hypertension, hypothyroidism, and mental health disorders among diabetic patients. - Economic impact: Explore cost-effective diabetes management strategies that consider the financial constraints faced by patients and healthcare systems in Iran. - Gender-specific care: Conduct stratified analyses by gender and other demographic variables to tailor interventions and improve outcomes for women and men with diabetes. 4.4 Limitations of the Study This study, conducted at Qaem Clinic, has several important limitations that should be considered when interpreting the results. First, because the data come from a single center, the findings may not fully represent the broader population of Iran. Additionally, the study relied on retrospective electronic health records, which may contain incomplete or inaccurate information. We also did not have data on patients’ adherence to treatment or lifestyle factors such as diet and physical activity, which are important in diabetes management. Moreover, the absence of a control group limits our ability to draw causal conclusions about the relationship between medication use and health outcomes. Finally, changes in diabetes treatment guidelines during the study period might have influenced prescribing patterns, making it more challenging to interpret trends over time. Conclusion Our analysis of diabetes care at Qaem Clinic from 2021 to 2023 reveals several key insights. The consistently higher proportion of women among patients suggests the importance of developing gender-specific healthcare strategies. The observed decrease in metformin use alongside an increase in sulfonylurea prescriptions highlights a shift in treatment approaches that warrants further study, especially regarding medication effectiveness and patient adherence. The rising rates of comorbidities such as hypertension and hypothyroidism, together with increasing average HbA1c levels, point to ongoing challenges in achieving optimal blood sugar control. Additionally, the substantial increase in medication costs places a growing financial strain on patients, underscoring the need for more affordable and cost-effective management options. To address these issues, future research should explore comprehensive, multidisciplinary approaches to diabetes care. Policymakers and healthcare providers might consider strategies such as promoting the use of generic medications to reduce costs and implementing screening programs for hypertension and mental health conditions to improve overall patient outcomes. Collaborative efforts will be essential to improve the quality of care and reduce the burden of diabetes in this population. Declarations Author Contribution M.A. (Mahfam Alijaniha) conceptualized and designed the study, supervised the research, and acted as the corresponding author. M.A. and M.A. (Mahdin Alijaniha) conducted data collection and statistical analysis. M.M. (Mahdi Mirzaalimohammadi) contributed to data interpretation and manuscript revision. M.A. (Mahfam Alijaniha) wrote the main manuscript text. All authors reviewed and approved the final version of the manuscript. Ethics Approval The study protocol was approved by the Ethics Committee of Zanjan University of Medical Sciences (IR.QUMS.REC.1402.123). Written informed consent was obtained from all participants before data collection. All procedures were conducted by the Declaration of Helsinki. Human Ethics and Consent to Participate Human Ethics and Consent to Participate declarations: not applicable. Funding Declaration This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. References Khan, M. A. B., Hashim, M. J., Kwan King, J., Govender, R. D., Mustafa, H., & Al Kaabi, J. (2020). Epidemiology of Type 2 Diabetes – Global Burden of Disease and Forecasted Trends. J Epidemiol Glob Health, 10(1), 107–111. doi: 10.2991/jegh.k.191028.001 Hazar, N., Jokar, M., Namavari, N., Hosseini, S., & Rahmanian, V. (2024). An updated systematic review and Meta-analysis of the prevalence of type 2 diabetes in Iran, 1996–2023. Front Public Health, 12, 1322072. doi: 10.3389/fpubh.2024.1322072 World Health Organization. (n.d.). Diabetes fact sheet. Retrieved from https://www.who.int/news-room/fact-sheets/detail/diabetes Deshpande, A. D., Harris-Hayes, M., & Schootman, M. (2008). Epidemiology of Diabetes and Diabetes-Related Complications. Phys Ther, 88(11), 1254–1264. doi: 10.2522/pt.20080020 Remelli, F., Ceresini, M. 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This growth is disproportionately concentrated in low- and middle-income countries, where health systems are often ill-equipped to manage the disease's long-term complications [\\u003cspan citationid=\\\"CR1\\\" class=\\\"CitationRef\\\"\\u003e1\\u003c/span\\u003e]. The Eastern Mediterranean region, including Iran, faces particular challenges due to rapid urbanization, dietary shifts, and sedentary lifestyles [\\u003cspan citationid=\\\"CR2\\\" class=\\\"CitationRef\\\"\\u003e2\\u003c/span\\u003e]. Iran exemplifies this crisis, with one of the highest T2D prevalence rates in the region. Recent studies estimate that 11.4% of Iranian adults (over 6\\u0026nbsp;million people) have been diagnosed with diabetes, while an additional 9\\u0026nbsp;million remain in pre-diabetic stages [\\u003cspan citationid=\\\"CR3\\\" class=\\\"CitationRef\\\"\\u003e3\\u003c/span\\u003e]. Projections suggest a 100% increase in T2D prevalence by 2050, demanding urgent action [\\u003cspan citationid=\\\"CR4\\\" class=\\\"CitationRef\\\"\\u003e4\\u003c/span\\u003e].\\u003c/p\\u003e\\u003cp\\u003eDiabetes is the eighth leading cause of global mortality, with CVD accounting for 65% of deaths among T2D patients [\\u003cspan citationid=\\\"CR5\\\" class=\\\"CitationRef\\\"\\u003e5\\u003c/span\\u003e]. Iranians with T2D face a 2\\u0026ndash;4 times higher risk of ischemic heart disease and stroke compared to non-diabetics, exacerbated by hypertension (prevalence: 70%) [\\u003cspan citationid=\\\"CR6\\\" class=\\\"CitationRef\\\"\\u003e6\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR7\\\" class=\\\"CitationRef\\\"\\u003e7\\u003c/span\\u003e]. Despite advances in management, glycemic control remains suboptimal in Iran, with only 30% of patients achieving HbA1c targets [\\u003cspan citationid=\\\"CR8\\\" class=\\\"CitationRef\\\"\\u003e8\\u003c/span\\u003e].\\u003c/p\\u003e\\u003cp\\u003eRecent evidence shows that women account for nearly half of T2D cases globally, yet gender disparities in complications remain understudied in Iran. [\\u003cspan citationid=\\\"CR15\\\" class=\\\"CitationRef\\\"\\u003e15\\u003c/span\\u003e]\\u003c/p\\u003e\\u003cp\\u003eRecent studies have shown that heart failure frequently occurs in patients with type 2 diabetes even without prior coronary heart disease, leading to high mortality and hospitalization rates (Khan et al., 2019). This highlights the need for comprehensive cardiovascular risk management in diabetic patients beyond traditional atherosclerotic factors.[\\u003cspan citationid=\\\"CR13\\\" class=\\\"CitationRef\\\"\\u003e13\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR17\\\" class=\\\"CitationRef\\\"\\u003e17\\u003c/span\\u003e]\\u003c/p\\u003e\\u003cp\\u003ePolypharmacy further complicates T2D management, affecting 19.3% of older adults and increasing hospitalization risks [\\u003cspan citationid=\\\"CR9\\\" class=\\\"CitationRef\\\"\\u003e9\\u003c/span\\u003e]. However, data on its impact in Iran are scarce. Additionally, multimorbidity (e.g., diabetes with hypertension or mental health disorders) affects 35% of chronic disease patients, escalating costs and disability. [\\u003cspan citationid=\\\"CR10\\\" class=\\\"CitationRef\\\"\\u003e10\\u003c/span\\u003e] With Iran\\u0026rsquo;s aging population projected to reach 21.7% by 2050, tailored strategies for comorbid T2D are imperative [\\u003cspan citationid=\\\"CR11\\\" class=\\\"CitationRef\\\"\\u003e11\\u003c/span\\u003e].\\u003c/p\\u003e\\u003cp\\u003eThis study examines the prevalence of CVD, hypertension, and medication trends among T2D patients at Qaem Clinic (2021\\u0026ndash;2023), with a focus on gender disparities. By analyzing real-world data from a high-burden region, we aim to inform context-specific interventions and address critical gaps in Iran\\u0026rsquo;s diabetes care.\\u003c/p\\u003e\\u003cp\\u003e While regional studies have examined T2D comorbidities in the Middle East (Alketbi et al., 2025), none have longitudinally analyzed gender-specific trends in medication use within Iran\\u0026rsquo;s socioeconomic context, marking this study\\u0026rsquo;s novelty.\\u003c/p\\u003e\"},{\"header\":\"Method\",\"content\":\"\\u003cp\\u003e2.1 Study Design\\u003c/p\\u003e\\n\\u003cp\\u003eA regional registry-based study using Qaem Clinic\\u0026rsquo;s electronic health records was conducted to assess the prevalence of cardiovascular diseases (CVDs), hypertension, hypothyroidism, and mental health disorders among patients with type 2 diabetes mellitus (T2D) attending Qaem Clinic in Qazvin, Iran, from 2021 to 2023. The study also evaluated medication use patterns, glycemic control via HbA1c levels, and other relevant laboratory parameters. The registry-based approach allowed for comprehensive longitudinal data analysis within a real-world clinical setting.\\u003c/p\\u003e\\n\\u003cp\\u003e2.2 Setting\\u003c/p\\u003e\\n\\u003cp\\u003eQaem Clinic is a multidisciplinary outpatient facility serving a diverse patient population in Qazvin, Iran. The clinic provides specialized care for patients with diabetes and other chronic diseases, maintaining detailed electronic health records (EHRs) that facilitate longitudinal patient monitoring.\\u003c/p\\u003e\\n\\u003cp\\u003e2.3 Participants\\u003c/p\\u003e\\n\\u003cp\\u003eInclusion Criteria:\\u003c/p\\u003e\\n\\u003cp\\u003eAdults aged 18 years or older with a confirmed diagnosis of T2D based on established clinical criteria (e.g., ADA guidelines).\\u003c/p\\u003e\\n\\u003cp\\u003eAt least one documented clinic visit between January 2021 and December 2023.\\u003c/p\\u003e\\n\\u003cp\\u003eExclusion Criteria:\\u003c/p\\u003e\\n\\u003cp\\u003ePatients diagnosed with type 1 diabetes mellitus.\\u003c/p\\u003e\\n\\u003cp\\u003eRecords with incomplete or missing critical data elements necessary for analysis.\\u003c/p\\u003e\\n\\u003cp\\u003e2.4 Data Extraction and Quality Control\\u003c/p\\u003e\\n\\u003cp\\u003eData were extracted systematically from the clinic\\u0026rsquo;s electronic health records using standardized diagnostic codes based on the International Classification of Diseases, 10th Revision (ICD-10), to identify T2D and comorbid conditions (e.g., I20\\u0026ndash;I25 for ischemic heart disease, I50 for heart failure). Laboratory values and medication prescriptions were retrieved using structured query language (SQL) queries within the EHR system.\\u003c/p\\u003e\\n\\u003cp\\u003eTo ensure data accuracy and minimize bias, a two-step quality control process was implemented: initially, two independent researchers extracted and cross-verified the data. Discrepancies were resolved through consensus, and a biostatistician conducted a final verification of the dataset. This approach reduced the risk of misclassification and incomplete data capture, enhancing the reliability of study findings (12).\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003eMissing data (\\u0026gt;5% for key variables) were excluded, and sensitivity analyses confirmed robustness.\\u003c/p\\u003e\\n\\u003cp\\u003e2.5 Variables\\u003c/p\\u003e\\n\\u003cp\\u003eDemographic Data: Age, sex, and duration of diabetes.\\u003c/p\\u003e\\n\\u003cp\\u003eClinical Data: Presence of cardiovascular diseases (ischemic heart disease, heart failure), hypertension, hypothyroidism, and mental health disorders as identified by ICD-10 codes and clinical notes.\\u003c/p\\u003e\\n\\u003cp\\u003eTreatment Outcomes: Blood pressure measurements, HbA1c levels (median values reported annually), and fasting plasma glucose.\\u003c/p\\u003e\\n\\u003cp\\u003eMedication Use: Proportions of patients prescribed metformin, sulfonylureas, alpha-glucosidase inhibitors, insulin (regular and NPH), and other relevant drugs.\\u003c/p\\u003e\\n\\u003cp\\u003eCost Data: Annual total drug therapy costs in Iranian Rials.\\u003c/p\\u003e\\n\\u003cp\\u003e2.6 Statistical Analysis\\u003c/p\\u003e\\n\\u003cp\\u003eDescriptive statistics were used to summarize continuous variables as means \\u0026plusmn; standard deviations and categorical variables as frequencies and percentages. Group comparisons between genders were performed using independent samples t-tests for continuous variables and Chi-square tests for categorical variables. Trends over the three years (2021-2023) were assessed using one-way Analysis of Variance (ANOVA). Additionally, multivariable models were applied to analyze trends controlling for potential confounding factors, adjusting for age, sex, and diabetes duration. Statistical significance was considered at a p-value \\u0026lt; 0.05. All analyses were performed using SPSS version 26 and R software (14).\\u003c/p\\u003e\\n\\u003cp\\u003e2.7 Sample Size\\u003c/p\\u003e\\n\\u003cp\\u003eAll eligible T2D patients registered at Qaem Clinic from 2021 to 2023 were included, totaling between 2,391 and 2,739 individuals per year. This comprehensive inclusion minimized selection bias and enhanced the generalizability of findings within the clinic population.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cimg 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\\\" width=\\\"746\\\" height=\\\"776\\\"\\u003e\\u003c/p\\u003e\"},{\"header\":\"Result\",\"content\":\"\\u003cp\\u003eThe gender distribution among patients with diabetes at the Qaem Clinic from 2021 to 2023 shows a consistent trend, with women representing a higher percentage than men. Specifically :(figure1)\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cspan dir=\\\"RTL\\\"\\u003e-In 2021, women comprised 61.50% of the patient population, while men accounted for 38.50%.\\u003c/span\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cspan dir=\\\"RTL\\\"\\u003e-In 2022, this trend continued with women at 62.20% and men at 37.80%.\\u003c/span\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e-By 2023, the distribution remained similar, with women at 61.60% and men at 38.40%.\\u003c/p\\u003e\\n\\u003cp\\u003eThe analysis of antihyperglycemic medication usage over the years reveals significant trends: (Figure 2)\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cspan dir=\\\"RTL\\\"\\u003e- \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; Metformin prescriptions decreased from 53.70% in 2021 to 50.00% in 2023, indicating a possible shift towards alternative treatments.\\u003c/span\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cspan dir=\\\"RTL\\\"\\u003e- \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; The use of sulfonylureas increased from 6.20% to 14.20%, suggesting a growing reliance on these medications.\\u003c/span\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cspan dir=\\\"RTL\\\"\\u003e- \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; Other medications like thiazolidinediones and alpha-glucosidase inhibitors saw minimal changes, with thiazolidinediones decreasing slightly from 2.00% to 1.80%, while alpha-glucosidase inhibitors rose from 0.40% to 1.50%.\\u003c/span\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThe prevalence of comorbidities among patients with diabetes showed notable changes: (Figure 3)\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cspan dir=\\\"RTL\\\"\\u003e- \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; The rate of heart failure decreased from 20.10% in 2021 to 16.90% in 2023.\\u003c/span\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cspan dir=\\\"RTL\\\"\\u003e- \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; Conversely, hypertension increased from 55.00% to 56.10%, indicating ongoing challenges in managing blood pressure.\\u003c/span\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cspan dir=\\\"RTL\\\"\\u003e- \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; The prevalence of hypothyroidism rose from 5.00% to 7.10%, and mental health disorders increased from 2.30% to 3.60%.\\u003c/span\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThe data on HbA1c levels and insulin usage highlight critical trends: (Figure 4)\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cspan dir=\\\"RTL\\\"\\u003e- \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; The average HbA1c level increased from 1.10% in 2021 to 1.50% in 2023, indicating worsening glycemic control.\\u003c/span\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cspan dir=\\\"RTL\\\"\\u003e- \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; Metformin usage remained consistent at around 54%, decreasing slightly to 50%, while insulin prescriptions saw a slight increase from 1.05% to 1.60%.\\u003c/span\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThe analysis of annual medication costs for patients with diabetes at the Qaem Clinic from 2021 to 2023 reveals a significant upward trend in expenses: (Figure 5)\\u003c/p\\u003e\\n\\u003cp\\u003eIn 2021, the total cost of medications was 5,191,089,880.\\u003c/p\\u003e\\n\\u003cp\\u003eThis amount increased dramatically in 2022 to 10,687,145,494, nearly doubling the expenditure compared to the previous year.\\u003c/p\\u003e\\n\\u003cp\\u003eBy 2023, the costs further escalated to 16,622,679,312, indicating a continued rise in the financial burden associated with diabetes management.\\u003c/p\\u003e\\n\\u003cp\\u003eCosts surged from 5.2 billion IRR (~ $12,000 PPP) in 2021 to 16.6 billion IRR (~ $39,000 PPP) in 2023.\\u003c/p\\u003e\"},{\"header\":\"Discussion\",\"content\":\"\\u003cdiv id=\\\"Sec12\\\" class=\\\"Section2\\\"\\u003e\\u003ch2\\u003e4.1 Summary of Key Findings\\u003c/h2\\u003e\\u003cp\\u003eData from Qaem Clinic between 2021 and 2023 reveal important trends in the management of patients with type 2 diabetes. As shown in Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig1\\\" class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003e, women constituted 61.5% of patients in 2021, suggesting the need for gender-sensitive healthcare strategies. A notable decline in metformin use (from 53.7\\u0026ndash;50.0%) occurred alongside a significant increase in sulfonylurea prescriptions (from 6.2\\u0026ndash;14.2%). While heart failure prevalence decreased, rates of hypertension, hypothyroidism, and mental health disorders increased, indicating ongoing challenges in managing comorbidities. Alarmingly, average HbA1c levels rose from 6.7\\u0026ndash;7.0%, reflecting worsening glycemic control, which coincided with a slight increase in insulin use (from 1.05\\u0026ndash;1.60%). Additionally, annual medication costs more than tripled over the study period, highlighting a growing financial burden on patients.\\u003c/p\\u003e\\u003c/div\\u003e\\u003cdiv id=\\\"Sec13\\\" class=\\\"Section2\\\"\\u003e\\u003ch2\\u003e4.2 Comparative Analysis with Global Studies and Guidelines\\u003c/h2\\u003e\\u003cp\\u003e The observed reduction in metformin use contrasts with international clinical guidelines such as those from the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD), which recommend metformin as the first-line therapy for type 2 diabetes due to its efficacy, safety, and cardiovascular benefits (ADA, 2023; Davies et al., 2022). The increased reliance on sulfonylureas, which are generally considered second-line agents with higher risks of hypoglycemia and weight gain, may reflect local prescribing practices influenced by drug availability, cost considerations, or physician preferences. Similar trends have been reported in some low- and middle-income countries where economic constraints affect medication choices (Mendis et al., 2019). This divergence from guideline-recommended therapy underscores the need for targeted educational initiatives and policy interventions to align treatment with best practices.\\u003c/p\\u003e\\u003cp\\u003eThe significant rise in medication costs parallels the economic challenges facing Iran, including inflation, currency devaluation, and international sanctions that have disrupted pharmaceutical supply chains (World Bank, 2023). These factors likely contribute to increased drug prices and reduced affordability, which may drive shifts toward older, less expensive medications like sulfonylureas despite their less favorable safety profiles.\\u003c/p\\u003e\\u003cp\\u003eContrary to declining sulfonylurea use in Gulf countries (Alketbi et al., 2025), our findings reflect Iran\\u0026rsquo;s reliance on older therapies, likely due to economic sanctions limiting access to newer agents.\\u003c/p\\u003e\\u003c/div\\u003e\\u003cdiv id=\\\"Sec14\\\" class=\\\"Section2\\\"\\u003e\\u003ch2\\u003e4.3 Gender and Regional Differences\\u003c/h2\\u003e\\u003cp\\u003eWomen accounted for a consistently higher proportion of registered diabetic patients at Qaem Clinic. This may be due to multiple factors, including greater healthcare-seeking behavior among women, cultural norms facilitating women\\u0026rsquo;s access to clinical care, or biological differences influencing diabetes prevalence and progression (Azizi et al., 2019). Regional lifestyle factors and social determinants of health may also play a role. Unfortunately, detailed demographic data such as age, education, or socioeconomic status stratified by gender were not available in this study, limiting deeper analysis. Future research incorporating stratified analyses could clarify these disparities and guide gender-specific interventions.\\u003c/p\\u003e\\u003c/div\\u003e\\u003cdiv id=\\\"Sec15\\\" class=\\\"Section2\\\"\\u003e\\u003ch2\\u003e4.4 Implications for Research and Clinical Practice\\u003c/h2\\u003e\\u003cp\\u003eThe findings highlight several important areas for future research and clinical focus:\\u003c/p\\u003e\\u003cp\\u003e\\u003cul\\u003e\\u003cli\\u003e\\u003cp\\u003e- Treatment patterns: Investigate reasons behind the decline in metformin use and rise in sulfonylurea prescriptions, including patient adherence, side effects, and economic factors.\\u003c/p\\u003e\\u003c/li\\u003e\\u003cli\\u003e\\u003cp\\u003e- Comorbidity management: Develop integrated care models that address the increasing burden of hypertension, hypothyroidism, and mental health disorders among diabetic patients.\\u003c/p\\u003e\\u003c/li\\u003e\\u003cli\\u003e\\u003cp\\u003e- Economic impact: Explore cost-effective diabetes management strategies that consider the financial constraints faced by patients and healthcare systems in Iran.\\u003c/p\\u003e\\u003c/li\\u003e\\u003cli\\u003e\\u003cp\\u003e- Gender-specific care: Conduct stratified analyses by gender and other demographic variables to tailor interventions and improve outcomes for women and men with diabetes.\\u003c/p\\u003e\\u003c/li\\u003e\\u003c/ul\\u003e\\u003c/p\\u003e\\u003c/div\\u003e\\u003cdiv id=\\\"Sec16\\\" class=\\\"Section2\\\"\\u003e\\u003ch2\\u003e4.4 Limitations of the Study\\u003c/h2\\u003e\\u003cp\\u003eThis study, conducted at Qaem Clinic, has several important limitations that should be considered when interpreting the results. First, because the data come from a single center, the findings may not fully represent the broader population of Iran. Additionally, the study relied on retrospective electronic health records, which may contain incomplete or inaccurate information. We also did not have data on patients\\u0026rsquo; adherence to treatment or lifestyle factors such as diet and physical activity, which are important in diabetes management. Moreover, the absence of a control group limits our ability to draw causal conclusions about the relationship between medication use and health outcomes. Finally, changes in diabetes treatment guidelines during the study period might have influenced prescribing patterns, making it more challenging to interpret trends over time.\\u003c/p\\u003e\\u003c/div\\u003e\"},{\"header\":\"Conclusion\",\"content\":\"\\u003cp\\u003eOur analysis of diabetes care at Qaem Clinic from 2021 to 2023 reveals several key insights. The consistently higher proportion of women among patients suggests the importance of developing gender-specific healthcare strategies. The observed decrease in metformin use alongside an increase in sulfonylurea prescriptions highlights a shift in treatment approaches that warrants further study, especially regarding medication effectiveness and patient adherence. The rising rates of comorbidities such as hypertension and hypothyroidism, together with increasing average HbA1c levels, point to ongoing challenges in achieving optimal blood sugar control. Additionally, the substantial increase in medication costs places a growing financial strain on patients, underscoring the need for more affordable and cost-effective management options.\\u003c/p\\u003e\\u003cp\\u003eTo address these issues, future research should explore comprehensive, multidisciplinary approaches to diabetes care. Policymakers and healthcare providers might consider strategies such as promoting the use of generic medications to reduce costs and implementing screening programs for hypertension and mental health conditions to improve overall patient outcomes. Collaborative efforts will be essential to improve the quality of care and reduce the burden of diabetes in this population.\\u003c/p\\u003e\"},{\"header\":\"Declarations\",\"content\":\"\\u003ch2\\u003eAuthor Contribution\\u003c/h2\\u003e\\u003cp\\u003eM.A. (Mahfam Alijaniha) conceptualized and designed the study, supervised the research, and acted as the corresponding author. M.A. and M.A. (Mahdin Alijaniha) conducted data collection and statistical analysis. M.M. (Mahdi Mirzaalimohammadi) contributed to data interpretation and manuscript revision. M.A. (Mahfam Alijaniha) wrote the main manuscript text. All authors reviewed and approved the final version of the manuscript.\\u003c/p\\u003e\\u003cp\\u003e\\u003cstrong\\u003eEthics Approval\\u0026nbsp;\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThe study protocol was approved by the Ethics Committee of Zanjan University of Medical Sciences (IR.QUMS.REC.1402.123). Written informed consent was obtained from all participants before data collection. All procedures were conducted by the Declaration of Helsinki.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eHuman Ethics and Consent to Participate\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eHuman Ethics and Consent to Participate declarations: not applicable.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eFunding Declaration\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThis research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.\\u003c/p\\u003e\"},{\"header\":\"References\",\"content\":\"\\u003col\\u003e\\n \\u003cli\\u003e\\u003cspan dir=\\\"\\\"\\u003eKhan, M. A. B., Hashim, M. J., Kwan King, J., Govender, R. D., Mustafa, H., \\u0026amp; Al Kaabi, J. (2020). Epidemiology of Type 2 Diabetes \\u0026ndash; Global Burden of Disease and Forecasted Trends. J Epidemiol Glob Health, 10(1), 107\\u0026ndash;111. doi: 10.2991/jegh.k.191028.001\\u003c/span\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cspan dir=\\\"\\\"\\u003eHazar, N., Jokar, M., Namavari, N., Hosseini, S., \\u0026amp; Rahmanian, V. (2024). An updated systematic review and Meta-analysis of the prevalence of type 2 diabetes in Iran, 1996\\u0026ndash;2023. Front Public Health, 12, 1322072. doi: 10.3389/fpubh.2024.1322072\\u003c/span\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cspan dir=\\\"\\\"\\u003eWorld Health Organization. (n.d.). Diabetes fact sheet. Retrieved from https://www.who.int/news-room/fact-sheets/detail/diabetes\\u003c/span\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cspan dir=\\\"\\\"\\u003eDeshpande, A. D., Harris-Hayes, M., \\u0026amp; Schootman, M. (2008). Epidemiology of Diabetes and Diabetes-Related Complications. Phys Ther, 88(11), 1254\\u0026ndash;1264. doi: 10.2522/pt.20080020\\u003c/span\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cspan dir=\\\"\\\"\\u003eRemelli, F., Ceresini, M. G., Trevisan, C., Noale, M., \\u0026amp; Volpato, S. (2022). Prevalence and impact of polypharmacy in older patients with type 2 diabetes. Aging Clinical and Experimental Research, 34(8), 1969\\u0026ndash;1983. doi: 10.1007/s40520-022-02165-1\\u003c/span\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cspan dir=\\\"\\\"\\u003eChen, J., Zhang, F., Zhang, Y., Lin, Z., Deng, K., Hou, Q., Li, L., \\u0026amp; Gao, Y. (2024). Trajectories network analysis of chronic diseases among middle-aged and older adults: evidence from the China Health and Retirement Longitudinal Study (CHARLS). BMC Public Health, 24, Article 559.\\u003c/span\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cspan dir=\\\"\\\"\\u003eManoochehry, S., \\u0026amp; Rasouli, H. R. (2017). Iranian Population Policy and Aging: New Health Concerns. Iranian Journal of Trauma and Emergency Medicine, 2(1), e14. doi: 10.15171/ijtmgh.2017.14\\u003c/span\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cspan dir=\\\"\\\"\\u003eCiarambino, T., Crispino, P., Leto, G., Mastrolorenzo, E., Para, O., \\u0026amp; Giordano, M. (2022). Influence of Gender in Diabetes Mellitus and Its Complication. Int J Mol Sci, 23(16), 8850; doi: https://doi.org/10.3390/ijms23168850\\u003c/span\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cspan dir=\\\"\\\"\\u003eEsteghamati, A., Abbasi, M., Nakhjavani, M., Yousefizadeh, A., Basa, A.P., \\u0026amp; Afshar, H. (2006). Prevalence of diabetes and other cardiovascular risk factors in an Iranian population with acute coronary syndrome. Cardiovascular Diabetology, 5(1), Article 15.\\u003c/span\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cspan dir=\\\"\\\"\\u003e\\u0026nbsp;van Hulsteijn, L. T., Pasquali, R., Casanueva, F., Haluzik, M., Ledoux, S., Monteiro, M. P., Salvador, J., Santini, F., Toplak, H., \\u0026amp; Dekkers, O. M. (2020). Prevalence of endocrine disorders in obese patients: systematic review and meta-analysis. European Journal of Endocrinology, 182(1), 11\\u0026ndash;21. doi: https://doi.org/10.1530/EJE-19-0666\\u003c/span\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cspan dir=\\\"\\\"\\u003e\\u0026nbsp;Newby, D., Linden, A. B., Fernandes, M., Molero, Y., Winchester, L., Sproviero, W., Ghose, U., Li, Q. S., Launer, L. J., van Duijn, C. M., \\u0026amp; Nevado-Holgado, A. J. (2022). Comparative effect of metformin versus sulfonylureas with dementia and Parkinson\\u0026rsquo;s disease risk in US patients over 50 with type 2 diabetes mellitus. Journal of Clinical Endocrinology \\u0026amp; Metabolism, 107(10), e36109050. doi: PMCID: PMC9478804; PMID: 36109050.\\u003c/span\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cspan dir=\\\"\\\"\\u003e\\u0026nbsp;Das Shuvo, S., Hossen, M. T., Riazuddin, M., Hossain, M. S., Mazumdar, S., Parvin, R., \\u0026amp; Elahi, M. T. (2019). Prevalence of comorbidities and its associated factors among type-2 diabetes patients: a hospital-based study in Jashore District, Bangladesh. Journal of Cardiac Failure, 25(2), 78-86.\\u003c/span\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cspan dir=\\\"\\\"\\u003e\\u0026nbsp;Khan, H., Anker, S. D., Januzzi Jr, J. L., McGuire, D. K., Sattar, N., Woerle, H. J., \\u0026amp; Butler, J. (2019). Heart Failure Epidemiology in Patients With Diabetes Mellitus Without Coronary Heart Disease. Journal of Cardiac Failure, 25(2), 78-86.\\u003c/span\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cspan dir=\\\"\\\"\\u003e\\u0026nbsp;Tatsumi, Y., \\u0026amp; Ohkubo, T. (2017). Hypertension with diabetes mellitus: significance from an epidemiological perspective for Japanese. Hypertension Research, 40(7), 795\\u0026ndash;806.\\u003cspan dir=\\\"\\\"\\u003e\\u0026nbsp;\\u003c/span\\u003e\\u003c/span\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cspan dir=\\\"\\\"\\u003e\\u0026nbsp;Riches-Suman, K. (2023). Increasing the Representation of Women in Diabetes Research. Diabetology, 4(2), 128-133. doi: https://doi.org/10.3390/diabetology4020014\\u003c/span\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cspan dir=\\\"\\\"\\u003e\\u0026nbsp;Emerging Trends in Metformin Prescribing in the United States from 2000 to 2015. (2019). Diabetes Care, 39(5), 757\\u0026ndash;763.\\u003c/span\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003e\\u003cspan dir=\\\"\\\"\\u003e\\u0026nbsp;Alketbi, L. B., Al Hashaikeh, B., Fahmawee, T., Sahalu, Y., Alkuwaiti, M. H. H., Nagelkerke, N., \\u0026amp; Almansouri, M. (2025). Hypertension and its determinants in Abu Dhabi population: a retrospective cohort study. Journal of Hypertension, 43(2), 308-317. doi: 10.1097/HJH.0000000000003907\\u003c/span\\u003e\\u003c/li\\u003e\\n \\u003cli\\u003eJodheea-Jutton, A., Hindocha, S., \\u0026amp; Bhaw-Luximon, A. (2022). Health economics of diabetic foot ulcer and recent trends to accelerate treatment. The Foot, 52, Article 101909. doi: https://doi.org/10.1016/j.foot.2022.101909\\u003c/li\\u003e\\n\\u003c/ol\\u003e\"}],\"fulltextSource\":\"\",\"fullText\":\"\",\"funders\":[],\"hasAdminPriorityOnWorkflow\":false,\"hasManuscriptDocX\":true,\"hasOptedInToPreprint\":true,\"hasPassedJournalQc\":\"\",\"hasAnyPriority\":false,\"hideJournal\":true,\"highlight\":\"\",\"institution\":\"\",\"isAcceptedByJournal\":false,\"isAuthorSuppliedPdf\":false,\"isDeskRejected\":\"\",\"isHiddenFromSearch\":false,\"isInQc\":false,\"isInWorkflow\":false,\"isPdf\":false,\"isPdfUpToDate\":true,\"isWithdrawnOrRetracted\":false,\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"researchsquare\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":true,\"externalIdentity\":\"\",\"sideBox\":\"\",\"snPcode\":\"\",\"submissionUrl\":\"/submission\",\"title\":\"Research Square\",\"twitterHandle\":\"researchsquare\",\"acdcEnabled\":true,\"dfaEnabled\":false,\"editorialSystem\":\"\",\"reportingPortfolio\":\"\",\"inReviewEnabled\":false,\"inReviewRevisionsEnabled\":true},\"keywords\":\"Type 2 diabetes, cardiovascular disease, hypertension, medication use, gender differences, clinical outcomes\",\"lastPublishedDoi\":\"10.21203/rs.3.rs-7376319/v1\",\"lastPublishedDoiUrl\":\"https://doi.org/10.21203/rs.3.rs-7376319/v1\",\"license\":{\"name\":\"CC BY 4.0\",\"url\":\"https://creativecommons.org/licenses/by/4.0/\"},\"manuscriptAbstract\":\"\\u003cp\\u003e\\u003cstrong\\u003eAims\\u003c/strong\\u003e: This study aimed to examine the prevalence of cardiovascular diseases, hypertension, hypothyroidism, and mental health disorders among patients with type 2 diabetes (T2D) attending the Qaem Clinic in Qazvin, Iran, from 2021 to 2023. The study also evaluated trends in medication use and clinical outcomes, focusing on gender differences.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eMethods\\u003c/strong\\u003e: A quantitative descriptive registry-based study was conducted using electronic health records. Adult patients diagnosed with T2D who attended the clinic at least once during the study period were included. Key variables analyzed included demographic data, clinical diagnoses, medication use patterns, hemoglobin A1c (HbA1c) levels, and annual medication costs. Statistical analyses included descriptive statistics, independent t-tests, Chi-square tests, and ANOVA for trend analysis.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eResults\\u003c/strong\\u003e: From 2021 to 2023, the number of T2D patients increased from 2,391 to 2,739, with a consistent gender distribution favoring women (61.5% to 61.6%). The prevalence of heart failure decreased from 20.1% to 16.9%, while hypertension increased from 55.0% to 56.1%. Medication trends showed a decline in metformin use from 53.7% to 50.0%, alongside an increase in sulfonylureas from 6.2% to 14.2%. The average HbA1c level rose from 6.7% to 7.0% (p=0.03), reflecting worsening glycemic control. Annual medication costs surged from 5,191,089,880 R in 2021 to 16,622,679,312 R in 2023.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eConclusion\\u003c/strong\\u003e: The analysis reveals a growing prevalence of comorbidities among T2D patients and highlights concerning trends in medication management and glycemic control. The findings underscore the need for gender-specific healthcare strategies, enhanced adherence to clinical guidelines, and cost-effective management solutions to improve patient outcomes.\\u003c/p\\u003e\",\"manuscriptTitle\":\"Trends in Comorbidities and Medication Use Among Type 2 Diabetes Patients in Iran: A Gender-Specific Analysis (2021–2023)\",\"msid\":\"\",\"msnumber\":\"\",\"nonDraftVersions\":[{\"code\":1,\"date\":\"2025-08-27 05:56:55\",\"doi\":\"10.21203/rs.3.rs-7376319/v1\",\"editorialEvents\":[{\"type\":\"communityComments\",\"content\":0}],\"status\":\"published\",\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"researchsquare\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":true,\"externalIdentity\":\"\",\"sideBox\":\"\",\"snPcode\":\"\",\"submissionUrl\":\"/submission\",\"title\":\"Research Square\",\"twitterHandle\":\"researchsquare\",\"acdcEnabled\":true,\"dfaEnabled\":false,\"editorialSystem\":\"\",\"reportingPortfolio\":\"\",\"inReviewEnabled\":false,\"inReviewRevisionsEnabled\":true}}],\"origin\":\"\",\"ownerIdentity\":\"d91c0e0b-401f-445c-9aa7-ffcbe805431a\",\"owner\":[],\"postedDate\":\"August 27th, 2025\",\"published\":true,\"recentEditorialEvents\":[],\"rejectedJournal\":[],\"revision\":\"\",\"amendment\":\"\",\"status\":\"posted\",\"subjectAreas\":[],\"tags\":[],\"updatedAt\":\"2025-08-30T03:53:48+00:00\",\"versionOfRecord\":[],\"versionCreatedAt\":\"2025-08-27 05:56:55\",\"video\":\"\",\"vorDoi\":\"\",\"vorDoiUrl\":\"\",\"workflowStages\":[]},\"version\":\"v1\",\"identity\":\"rs-7376319\",\"journalConfig\":\"researchsquare\"},\"__N_SSP\":true},\"page\":\"/article/[identity]/[[...version]]\",\"query\":{\"redirect\":\"/article/rs-7376319\",\"identity\":\"rs-7376319\",\"version\":[\"v1\"]},\"buildId\":\"8U1c8b4HqxoKbykW_rLl7\",\"isFallback\":false,\"isExperimentalCompile\":false,\"dynamicIds\":[84888],\"gssp\":true,\"scriptLoader\":[]}","source_license":"CC-BY-4.0","license_restricted":false}