Clinical Epidemiology and Global Health最新文献

{"title":"Prevalence of depressive symptoms in middle-aged and elderly outpatient patients with chronic pain in three cities and provinces of China","authors":"Chengxin Du ,&nbsp;Weiwei Zhang ,&nbsp;Liyuan Xu ,&nbsp;Bifa Fan ,&nbsp;Jianqun Dong ,&nbsp;Liuxia Yan ,&nbsp;Yingying Jiang","doi":"10.1016/j.cegh.2025.101955","DOIUrl":"10.1016/j.cegh.2025.101955","url":null,"abstract":"<div><h3>Background</h3><div>Chronic pain and depression are closely related, significantly impacting patients' quality of life. Notably, large-scale cross-sectional studies on chronic pain patients are scarce in China. This study examined depressive symptoms' prevalence and factors in three provinces/cities' outpatient patients, aiming to support psychological intervention and diagnostic/treatment services.</div></div><div><h3>Methods</h3><div>Middle-aged and elderly patients with chronic pain in outpatient clinics in China (n = 4151) completed valid questionnaires on demographic characteristics, pain status, and depression in a cross-sectional study design. The chi-square test was used for comparison between groups, and multivariate logistic regression was used to analyze the influencing factors of depression in middle-aged and elderly patients with chronic pain.</div></div><div><h3>Results</h3><div>Among 4151 patients with chronic pain, 9.1 % had depression symptoms. The prevalence of depressive symptoms in patients with severe pain was 24.2 %. As the severity of pain increased, the detection rate of depressive symptoms showed an upward trend (trend test x² = 165.156, P &lt; 0.001). Past medical history (OR = 1.83, 95%CI: 1.28–2.62), insomnia (OR = 2.58, 95%CI: 2.03–3.29), number of pain sites ≥2 (OR = 1.60, 95%CI: 1.27–2.03), and severe pain (OR = 3.54, 95%CI: 2.28–5.51), dissatisfaction pain treatment (OR = 2.50, 95%CI: 1.83–3.42) were risk factors for depressive symptoms.</div></div><div><h3>Conclusions</h3><div>As the severity of pain increased, the detection rate of depressive symptoms showed an upward trend. Psychological health prevention and intervention should be actively implemented in key populations of chronic pain patients to improve the effectiveness and satisfaction of pain treatment.</div></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":"32 ","pages":"Article 101955"},"PeriodicalIF":2.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Epidemiological investigation of depressive disorders in healthcare workers throughout 12 years in the governorate of Sousse, Tunisia","authors":"Marwa Bouhoula ,&nbsp;Amen Moussa ,&nbsp;Asma Chouchane ,&nbsp;Amal Ghenim ,&nbsp;Rania Elghezal ,&nbsp;Asma Gaddour ,&nbsp;Narjes Belhadj ,&nbsp;Sonia Kammoun ,&nbsp;Asma Aloui ,&nbsp;Imène Kacem ,&nbsp;Maher Maoua ,&nbsp;Houda Kalboussi ,&nbsp;Olfa Elmaalel ,&nbsp;Souheil Chatti ,&nbsp;Aicha Brahem","doi":"10.1016/j.cegh.2025.101967","DOIUrl":"10.1016/j.cegh.2025.101967","url":null,"abstract":"<div><h3>Background</h3><div>Depressive disorders are a major global health challenge and are projected to become a leading cause of disability by 2030.</div></div><div><h3>Aims</h3><div>Examine the epidemiological characteristics of depressive disorders among healthcare workers and identify key associated risk factors.</div></div><div><h3>Methods</h3><div>A retrospective descriptive study was conducted at the Regional Health Directorate of Sousse, focusing on healthcare workers on long-term sick leave (LTSL) due to depressive disorders from 2010 to 2021. Data were collected from medical and administrative records and a questionnaire covering socio-professional and medical information. Diagnoses were based on DSM-5 criteria. Statistical analysis was conducted using SPSS version 26.</div></div><div><h3>Results</h3><div>Among 650 healthcare workers studied, 12.8 % were diagnosed with depressive disorders. Of these, 13 % reported work-related conflicts, 3.5 % had exposure to severe infectious diseases before COVID-19, and 17 % had direct contact with COVID-19 patients. Additionally, 71.4 % of participants with depressive disorders presented with anxiety, and 50 % had moderate depression. Significant associations (p &lt; 0.05) were found between disorder severity and occupational exposures, medical history, and the impact of COVID-19.</div></div><div><h3>Conclusion</h3><div>Depressive disorders among healthcare workers are a pressing public health issue, with occupational factors like work-related conflicts and exposure to infectious diseases identified as key risk factors. Addressing these issues through psychological support programs and workplace interventions is essential to safeguard the mental well-being of healthcare workers and ensure the sustainability of healthcare services.</div></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":"32 ","pages":"Article 101967"},"PeriodicalIF":2.3,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatiotemporal dynamics of dengue hotspots in an urbanizing landscape: A five-year analysis in Selangor, Malaysia","authors":"Nur Athen Mohd Hardy Abdullah ,&nbsp;Nazri Che Dom ,&nbsp;Siti Aekbal Salleh ,&nbsp;Hasber Salim ,&nbsp;Nopadol Precha ,&nbsp;Rahmat Dapari","doi":"10.1016/j.cegh.2025.101966","DOIUrl":"10.1016/j.cegh.2025.101966","url":null,"abstract":"<div><h3>Introduction</h3><div>Spatial analysis plays a crucial role in vector control by assessing disease dynamics and identifying risk areas. While numerous studies have examined dengue incidence in Malaysia, few have specifically investigated prolonged localized dengue epidemics lasting more than 30 days. This study aims to analyze the distribution and patterns of dengue hotspots in Selangor from 2017 to 2021.</div></div><div><h3>Methods</h3><div>Dengue hotspot coordinates were obtained from Google Maps and mapped using ArcGIS. Heat maps were generated to visualize temporal and spatial hotspot patterns across epidemiological weeks and districts. Hotspot analysis was conducted to identify areas with a high frequency of dengue cases.</div></div><div><h3>Results</h3><div>Over 400 dengue hotspots were identified, primarily concentrated in Gombak, Hulu Langat, Klang, and Petaling districts characterized by high population densities exceeding 1000 individuals per km². Peak dengue hotspot occurrences (≥70 per week) were observed during three seasonal periods: January–March, June–September, and October–December.</div></div><div><h3>Conclusion</h3><div>This study provides new insights into the spatial-temporal distribution of prolonged dengue outbreaks in Selangor. The findings can inform targeted vector control strategies and policy interventions in high-risk areas.</div></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":"32 ","pages":"Article 101966"},"PeriodicalIF":2.3,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determine the promotion target of exclusive breastfeeding among poor families in Indonesia","authors":"Mizna Sabilla ,&nbsp;Agung Dwi Laksono ,&nbsp;Hario Megatsari","doi":"10.1016/j.cegh.2025.101960","DOIUrl":"10.1016/j.cegh.2025.101960","url":null,"abstract":"<div><h3>Background</h3><div>Promoting exclusive breastfeeding (EBF) for poor families is expected to have a big impact on children's future development. The study analyzed the promotion target to increase EBF among poor families in Indonesia.</div></div><div><h3>Methods</h3><div>It was a cross-sectional study that looked at 48,995 children. We examined EBF practice as a dependent variable. We included eight characteristics as independent variables (residence, maternal age, marital, education, employment, wealth, antenatal care (ANC), and early initiation of breastfeeding (EIBF). Finally, we did a binary logistic regression test.</div></div><div><h3>Results</h3><div>The data reveals that the percentage of exclusive breastfeeding (EBF) among impoverished households in Indonesia is 39.9 %. The outcome showed that mothers in rural areas were 1.235 times more likely than those in urban areas to perform EBF (95 % CI 1.229–1.241). According to maternal age, all ages were more likely to achieve EBF than &lt;20. Moreover, based on marital status, married mothers were 1.055 times more likely than divorced/widowed mothers to perform EBF (95 % CI 1.034–1.076). Mothers with all education levels were more likely than those without education to achieve EBF. Mothers with ANC were 1.430 times more likely to achieve EBF than those without (95 % CI 1.416–1.444). Mothers who perform EIBF were 1.624 times more likely than those who did not perform EIBF to achieve EBF (95 % CI 1.616–1.632).</div></div><div><h3>Conclusion</h3><div>Six mother characteristics were the specific promotion target among poor families to increase EBF in Indonesia: living in urban areas, being young, having divorced/widowed status, having a poor education, and not performing ANC and EIBF.</div></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":"32 ","pages":"Article 101960"},"PeriodicalIF":2.3,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143454994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Celiac disease and COVID-19: Leveraging health registries for crucial insights and public health strategies","authors":"Beatrice Gasperini ,&nbsp;Antonio Cherubini ,&nbsp;Marco Pompili ,&nbsp;Donatella Sarti ,&nbsp;Emilia Prospero","doi":"10.1016/j.cegh.2025.101962","DOIUrl":"10.1016/j.cegh.2025.101962","url":null,"abstract":"<div><h3>Background</h3><div>Celiac disease is an immune-mediated disorder triggered by gluten in genetically predisposed individuals, characterized by the presence of specific antibodies and inflammation of the small intestine. This study aims to assess the risk of SARS-CoV-2 infection and clinical outcomes among individuals with celiac disease compared to the general population using administrative data from health registries.</div></div><div><h3>Methods</h3><div>This retrospective case-control study was conducted in the Marche region, Italy, using the Celiac Disease Registry and the Italian National Monitoring System for COVID-19, from February 25, 2020, to March 31, 2021. Propensity score matching (1:1) was applied to compare celiac patients and controls based on age, sex, residence. Socio-demographic variables, chronic conditions, clinical outcomes were assessed.</div></div><div><h3>Results</h3><div>Among 4488 celiac patients, 209 (4.65 %, 95 % CI: 4.05–5.31 %) contracted COVID-19. The infection rate in the celiac group (4.65 %) was similar to that in the non-celiac (4.43 %) (OR: 1.05, 95 % CI: 0.91–1.21, p = 0.49). Hospitalizations occurred in 7.2 % of non-celiac patients and 2.9 % of celiac patients (p = 0.015). After propensity score matching, 417 individuals were included in the analysis, showing no significant differences in clinical outcomes, including hospitalization and mortality, between the groups (p &gt; 0.05).</div></div><div><h3>Conclusions</h3><div>By integrating data from the Celiac Disease Registry and COVID-19 Monitoring System, we conducted a comprehensive analysis, providing valuable insights with minimal resource investment compared to interview-based studies. The findings suggest that celiac patients do not require additional COVID-19 precautions beyond standard public health measures, supporting the use of registries for informed healthcare decision-making.</div></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":"32 ","pages":"Article 101962"},"PeriodicalIF":2.3,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and validation of SaPeIH-Q: A questionnaire to measure knowledge, attitude, and practice on seat belt usage among pregnant women in Indonesia","authors":"Ida Hayati ,&nbsp;Ilham Ameera Ismail ,&nbsp;Suzanna Daud ,&nbsp;Muhammad Syafiee Mohd Rashid ,&nbsp;Zaliha Ismail","doi":"10.1016/j.cegh.2025.101944","DOIUrl":"10.1016/j.cegh.2025.101944","url":null,"abstract":"<div><h3>Problems considered</h3><div>The outcome on mortality and morbidity to both mother and child from motor vehicle accidents are associated with proper seat belt usage. This study aims to develop and validate <em>Sabuk</em>.<em>Pengaman</em>.<em>Pada</em>.<em>Ibu</em>.<em>Hamil</em> Questionnaire (SaPeIH-Q), a questionnaire in the Indonesian Language that measures knowledge, attitude, and practice on seat belt usage among pregnant women.</div></div><div><h3>Methods</h3><div>Stage 1 was development of the questionnaire and stage 2 involved the validity and reliability testing. A total of 43 items under three domains were developed based on literature review and the health belief model theory. The SaPeIH-Q validation process includes content validity by a panel of seven experts and one pregnant women, face validity by ten pregnant women, construct validity using exploratory factor analysis by 80 participants, and reliability analysis using Cronbach Alpha.</div></div><div><h3>Results</h3><div>From the content validity, two out of 12 knowledge items were removed due to low Item Content Validity (I-CVI) values. One of the 14 attitude items was revised but retained. In the practice domain, all 17 items have an I-CVI value of more than 0.78 but the number of items were reduced to six due to repetition, and one item was moved to the knowledge domain. Construct validity was carried out for the knowledge and attitude domains respectively. From the construct validation process, the knowledge items were further reduced from 11 to 10, and the attitude items from 14 to 12. The Cronbach alpha values of each of the 3 domains were 0.931, 0.956, and 0.911 respectively.</div></div><div><h3>Conclusion</h3><div>The final Indonesian Language SaPeIH-Q with 28 items or questions is a valid and reliable instrument for measuring knowledge, attitude, and practice on seat belt usage among pregnant women.</div></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":"32 ","pages":"Article 101944"},"PeriodicalIF":2.3,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geospatial insights into chronic bronchitis: Evaluating hotspots and environmental factors in MUDHRA-cohort of Mysuru district, India","authors":"Manjunatha M.C ,&nbsp;Mahesh P.A ,&nbsp;Madhu B ,&nbsp;Sawant Sushant Anil ,&nbsp;Karthik C.B","doi":"10.1016/j.cegh.2025.101921","DOIUrl":"10.1016/j.cegh.2025.101921","url":null,"abstract":"<div><h3>Background</h3><div>Geospatial techniques are critical for identifying potential environmental risk factors and implementing effective prevention strategies for chronic diseases. The <strong>M</strong>ysuru st<strong>U</strong>dies of <strong>D</strong>eterminants of <strong>H</strong>ealth in <strong>R</strong>ural <strong>A</strong>dults (MUDHRA)-Cohort was a notable study that systematically investigated the prevalence and risk factors associated with Chronic Bronchitis (CB) in 16 randomly selected villages of Mysuru District between 2006 and 2009. The objective of this study is to spatially visualize the highest prevalence of MUDHRA-CB at village level, and identifying potential environmental risk factors.</div></div><div><h3>Methods</h3><div>An analysis was conducted on a total of 8457 individuals aged 30 years and older to ascertain the presence of chronic bronchitis symptoms. To assess the prevalence of chronic bronchitis, a door-to-door survey was conducted using international Burden of Obstructive Lung Disease (BOLD) study questionnaires. The thematic map of chronic bronchitis burden was generated using Geographic Information System (GIS) tools and overlaid on the land use and land cover patterns extracted from Remote Sensing (RS) satellite images.</div></div><div><h3>Results</h3><div>The thematic map identified Karya village has having the highest prevalence (14.82 %), while there were no reported cases of chronic bronchitis in Alatthuru village. The land use land cover map generated showed the presence of a mine located around 310 m from Karya village. Inhalation of dust particles from the mine operations and wind direction could be attributed to the higher prevalence of chronic bronchitis.</div></div><div><h3>Conclusion</h3><div>Spatial epidemiological research studies that incorporate RS, GIS, and local field studies may aid in identifying potential environmental factors associated with a higher risk of chronic conditions.</div></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":"32 ","pages":"Article 101921"},"PeriodicalIF":2.3,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143428172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Harnessing ensemble deep learning models for precise detection of gynaecological cancers","authors":"Chetna Vaid Kwatra ,&nbsp;Harpreet Kaur ,&nbsp;Saiprasad Potharaju ,&nbsp;Swapnali N. Tambe ,&nbsp;Devyani Bhamare Jadhav ,&nbsp;Sagar B. Tambe","doi":"10.1016/j.cegh.2025.101956","DOIUrl":"10.1016/j.cegh.2025.101956","url":null,"abstract":"<div><h3>Problem considered</h3><div>The accurate and timely identification of gynaecological cancers is critical for improving patient outcomes and increasing survival rates. However, diagnostic imaging for these conditions is complex and prone to human error, necessitating advanced computational methods to enhance diagnostic reliability.</div></div><div><h3>Methods</h3><div>This study proposes an ensemble framework combining two state-of-the-art deep learning models, ResNet50 and Inception V3, for robust gynaecological malignancy detection. The synergistic integration of these models aims to leverage their strengths, significantly improving diagnostic performance. The models were trained and validated on a comprehensive dataset of medical images, including histopathology slides and radiological scans. The ensemble model's performance was rigorously evaluated using key metrics, including sensitivity, specificity, and overall diagnostic accuracy.</div></div><div><h3>Results</h3><div>The ensemble model achieved remarkable diagnostic accuracy, with results showing 99.8 % accuracy, 99.6 % sensitivity, and 99.9 % specificity. In comparison, the individual performance of ResNet50 and Inception V3 models was substantially lower. This demonstrates the effectiveness of the ensemble approach in detecting a wide range of gynaecological cancers, including ovarian and cervical malignancies.</div></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":"32 ","pages":"Article 101956"},"PeriodicalIF":2.3,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of 2021 surveillance system for under-five children with pneumonia in Bantul Regency, Indonesia","authors":"Nining Puji Lestari ,&nbsp;Vicka Oktaria ,&nbsp;Samsu Aryanto ,&nbsp;Bayu Satria Wiratama","doi":"10.1016/j.cegh.2025.101958","DOIUrl":"10.1016/j.cegh.2025.101958","url":null,"abstract":"<div><h3>Introduction</h3><div>Hospital involvement in pneumonia surveillance for children under five was found to be limited. This study aimed to assess the sensitivity of pneumonia surveillance using the capture-recapture method and provide an overview of pneumonia morbidity and mortality in children under five.</div></div><div><h3>Methods</h3><div>A descriptive study using secondary data on pneumonia cases among children under five in 2021 was conducted. Data were collected from all public health centers and eight selected hospitals in Bantul Regency, chosen based on the highest number of reported cases. <strong>The sample size included all identified cases from these facilities.</strong> Cases were defined as acute pneumonia in children under five, meeting ICD-10 criteria (J12, J13, J14, J15, J16, J17, J18, and P23.9). Data were analyzed descriptively.</div></div><div><h3>Results</h3><div>Hospitals accounted for 87.9 % (872 cases) of the 992 cases identified from both data sources. The sensitivity of surveillance systems was 2.9 % at public health centers, 21.7 % at hospitals, and 23.9 % when considering data from both sources. Furthermore, 85.7 % (n = 14) of the deaths were attributed to unspecified congenital pneumonia.</div></div><div><h3>Conclusions</h3><div>The sensitivity of under-five pneumonia surveillance in Bantul remains low, primarily due to limited hospital participation. Strengthening hospital engagement in surveillance activities and enhancing interventions for congenital pneumonia is essential for improving case detection and public health response.</div></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":"32 ","pages":"Article 101958"},"PeriodicalIF":2.3,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence and mortality of infective endocarditis in Kazakhstan: A nationwide epidemiological study (2018–2022)","authors":"Zhumakyz Kussainova ,&nbsp;Mark Dayer ,&nbsp;Tolkyn Bulegenov ,&nbsp;Askar Abiltayev ,&nbsp;Guzyal Abilmazhinova ,&nbsp;Olga Tashtemirova ,&nbsp;Gulzhanat Jakova ,&nbsp;Sholpan Abralina ,&nbsp;Gulnara Tuleshova ,&nbsp;Islam Salikhanov","doi":"10.1016/j.cegh.2025.101959","DOIUrl":"10.1016/j.cegh.2025.101959","url":null,"abstract":"<div><h3>Background</h3><div>Over the past two decades, the global incidence rate of Infective Endocarditis (IE) has increased significantly, reaching 7.0–14.3 cases per 100,000 individuals per annum. Concurrently, the three-month mortality rate has risen to nearly 40 %. Despite these alarming trends, the worldwide epidemiological profile of IE remains incomplete, mainly due to the lack of data from Central Asian countries. To address this gap, we have undertaken an in-depth analysis of the prevalence and mortality rates of IE in Kazakhstan.</div></div><div><h3>Methods</h3><div>Using a nationwide database, we identified the annual trends in prevalence and mortality from IE in Kazakhstan over 5 years. Cumulative survival and potential demographic and clinical predictors of mortality among 1061 patients with IE were evaluated.</div></div><div><h3>Results</h3><div>Between 2018 and 2022, the incidence rate of IE in Kazakhstan was 5.4 cases per 100,000 population per annum. 21.3 % of patients with IE required valve replacement. The peak in-hospital mortality rate was observed in 2021, reaching 27.8 %. Mortality rates were notably lower among patients who underwent surgery (OR 0.7; 95 % CI 0.48–0.92; p = 0.04).</div></div><div><h3>Conclusions</h3><div>In Kazakhstan, despite a relatively low incidence of IE, the mortality rate among patients remains alarmingly high. Our comprehensive epidemiological analysis provides critical insights into IE incidence and mortality trends in Kazakhstan, offering valuable data that can significantly enhance the understanding and management of IE across Central Asia.</div></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":"32 ","pages":"Article 101959"},"PeriodicalIF":2.3,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}