Prevalence and incidence of multiple sclerosis in Turkey: A nationwide epidemiologic study.

BACKGROUND: Many studies on multiple sclerosis (MS) reveal different prevalence and epidemiologic results. OBJECTIVES: In this study, we aimed to determine the epidemiologic profile of MS using official health records in Turkey. METHODS: Patients diagnosed with MS from the official health data of the Ministry of Health, representing the entire population of Turkey, were included in the study. Prevalence and incidence calculations were performed using the data on gender, age, year of birth, city of residence, and year of diagnosis. RESULTS: As a result of the study, the number of patients with the ICD code G35 was determined as 201,061 and the number of patients with this code entered at least three times was determined as 82,225. The prevalence of MS in Turkey was calculated as 96.4 per 100,000 and the female/male ratio as 2.1/1. The incidence of MS in 2022 was 6.2 per 100,000 and the mean patient age was 43.1 ± 13.3 years (female: 43.0 ± 13.1 vs male: 43.2 ± 13.7) while the mean age at first diagnosis was 34.0 ± 13.0 (female: 33.6 ± 12.6 vs male: 34.9 ± 13.7). CONCLUSION: The research was conducted via Official Database of Turkey, which includes population of 85 million and provides valuable insights into the prevalence and incidence rates of this chronic disease.

The burden of scoliosis: a nationwide database study on demographics, incidence, and surgical rates.

INTRODUCTION: Scoliosis is characterized as a three-dimensional deformity of the spine, affected by variety of factors, including biological, mechanical, hormonal, and genetics. METHODS: Our study's primary objective was to delineate the demographics, incidence, and prevalence of scoliosis from a nationwide perspective, analyze the surgical intervention rates, with the aim of offering more insightful guidance to orthopedic physicians. This nationwide cohort study was conducted from digital database for healthcare information management. Relevant population data, for children under 18 years old, was extracted from the official government census within the period of January 2015 to December 2022. Utilizing diagnostic code of M41 [Scoliosis] was used to define the patient pool from ICD-10. Demographic variables, type of operations (posterior only, anterior only, or combined), and complications were documented. Incidence and prevalence values were calculated using population figures and case numbers. RESULT: There were 276,521 patients with an average incidence of 129 per 100,000. Frequency of females was 1.45 times greater than that of males (p < 0.001). A total of 10,417 surgeries were performed in 10,311 patients during the inspection period (3.8% of all cases). Posterior fusion was by far the most common surgical approach (n = 10.111; 97%) followed by anterior fusion (n = 200; 1,9%). CONCLUSIONS: Our findings reveal a significant increase in the average incidence of scoliosis diagnosis, rising from 107 per 100,000 individuals in 2015 to 161 per 100,000 in 2022. Scoliosis now impacts an estimated 1.2% of children and adolescents in Turkey. The risk is 1.45 times higher in females than in males.

Unseen Threefold Mortality After the First Ten Days in Hemodialysis Patients Following Joint Arthroplasty: A Nationwide Retrospective Cohort Study of 1,287 Arthroplasty Patients on Hemodialysis.

BACKGROUND: The study addresses the growing number of hemodialysis (HD) patients undergoing joint arthroplasty, who are at higher risk of complications and mortality. Previous research has often overlooked deaths after discharge. This study aimed to examine early outcomes in a large nationwide cohort of patients who underwent arthroplasty for elective and fracture-related reasons. METHODS: Between 2016 and 2022, a study was conducted using the e-Nabiz database of the Türkiye Ministry of Health, focusing on patients aged 18 years and above who underwent elective or fracture-related arthroplasty. This study included 1,287 patients reliant on dialysis who underwent total hip arthroplasty, total knee arthroplasty, or hemiarthroplasty (HA), with 7.7% of them receiving dialysis for the first time. Propensity score matching was used to create an equally sized group of non-dialysis-dependent patients, ensuring demographic balance in terms of age, sex, a comorbidity index, and surgery type. The primary objective was to compare mortality rates 10, 30, and 90 days after arthroplasty. RESULTS: The first-time dialysis patients who underwent HA had significantly higher 30- and 90-day mortality rates compared to the chronic dialysis group (P = .040 and P < .001, respectively). Also, the HD patients consistently exhibited higher 90-day mortality rates across all surgery types. With total knee arthroplasty, HD patients had a mortality rate of 8.7%, in stark contrast to 0% among non-HD patients (P < .001). Similarly, with total hip arthroplasty, HD patients had a 12% mortality rate, while non-HD patients had a markedly lower rate of 2.7% (P = .008). In the case of HA, HD patients had a significantly elevated 90-day mortality rate of 31.9%, in contrast to 17.1% among non-HD patients (P < .001). CONCLUSIONS: Joint arthroplasty has higher rates of mortality and complications among HD patients. Surgical decisions must be based on patients' overall health, necessitating collaboration among specialists. These patients should be closely monitored.

Fracture Patterns and Mortality in Osteopetrosis: A 7-year Retrospective Analysis from Türkiye's National Registry.

BACKGROUND: The aim of this study is to determine the demographic data, fracture treatment methods, and medical treatments of patients diagnosed with osteopetrosis in the national registry. METHODS: Patients with International Classification of Diseases (ICD)-10 code Q78.2 for osteopetrosis between January 1, 2016 and April 11, 2023 were retrospectively reviewed. Data on sex, age at time of diagnosis, fracture history, mortality, and use of medications were evaluated for all patients. In addition, open reduction and internal fixation, closed reduction and internal fixation, closed reduction and casting, and conservative treatment methods were noted. The number of patients requiring deformity surgery was determined. The incidence and prevalence of osteopetrosis were also calculated in this cross-sectional study. RESULTS: A total of 476 patients diagnosed with osteopetrosis were identified. The mean age at time of diagnosis of these patients was 5.79 ± 5.43 years. A total of 101 patients died. As the age at diagnosis decreased, the mortality rate of the patients increased with statistical significance ( P <0.001). A total of 192 fractures were seen in 121 osteopetrosis patients in this study. Femur fractures were most common among these patients with osteopetrosis. A history of fracture was statistically significantly less common in patients using a combination of vitamin D + calcium compared with patients not using such medication ( P <0.001). In this 7-year cross-sectional study, the incidence was found to be 1 in 416,000 and the prevalence was 0.00199% in the population under 18 years of age. CONCLUSION: Younger age at diagnosis is associated with higher mortality in patients with osteopetrosis. In addition, the combination of vitamin D and calcium were associated with lower fracture incidence. LEVEL OF EVIDENCE: Prognostic Level II.

Elevating healthcare through artificial intelligence: analyzing the abdominal emergencies data set (TR_ABDOMEN_RAD_EMERGENCY) at TEKNOFEST-2022.

OBJECTIVES: The artificial intelligence competition in healthcare at TEKNOFEST-2022 provided a platform to address the complex multi-class classification challenge of abdominal emergencies using computer vision techniques. This manuscript aimed to comprehensively present the methodologies for data preparation, annotation procedures, and rigorous evaluation metrics. Moreover, it was conducted to introduce a meticulously curated abdominal emergencies data set to the researchers. METHODS: The data set underwent a comprehensive central screening procedure employing diverse algorithms extracted from the e-Nabiz (Pulse) and National Teleradiology System of the Republic of Türkiye, Ministry of Health. Full anonymization of the data set was conducted. Subsequently, the data set was annotated by a group of ten experienced radiologists. The evaluation process was executed by calculating F1 scores, which were derived from the intersection over union values between the predicted bounding boxes and the corresponding ground truth (GT) bounding boxes. The establishment of baseline performance metrics involved computing the average of the highest five F1 scores. RESULTS: Observations indicated a progressive decline in F1 scores as the threshold value increased. Furthermore, it could be deduced that class 6 (abdominal aortic aneurysm/dissection) was relatively straightforward to detect compared to other classes, with class 5 (acute diverticulitis) presenting the most formidable challenge. It is noteworthy, however, that if all achieved outcomes for all classes were considered with a threshold of 0.5, the data set's complexity and associated challenges became pronounced. CONCLUSION: This data set's significance lies in its pioneering provision of labels and GT-boxes for six classes, fostering opportunities for researchers. CLINICAL RELEVANCE STATEMENT: The prompt identification and timely intervention in cases of emergent medical conditions hold paramount significance. The handling of patients' care can be augmented, while the potential for errors is minimized, particularly amidst high caseload scenarios, through the application of AI. KEY POINTS: • The data set used in artificial intelligence competition in healthcare (TEKNOFEST-2022) provides a 6-class data set of abdominal CT images consisting of a great variety of abdominal emergencies. • This data set is compiled from the National Teleradiology System data repository of emergency radiology departments of 459 hospitals. • Radiological data on abdominal emergencies is scarce in literature and this annotated competition data set can be a valuable resource for further studies and new AI models.

Basic electronic health record (EHR) adoption in **Türkiye is nearly complete but challenges persist.

BACKGROUND: The digitalization studies in public hospitals in Türkiye started with the Health Transformation Program in 2003. As digitalization was accomplished, the policymakers needed to measure hospitals' electronic health record (EHR) usage and adoptions. The ministry of health has been measuring the dissemination of meaningful usage and adoption of EHR since 2013 using Electronic Medical Record Adoption Model (EMRAM). The first published study about this analysis covered the surveys applied between 2013 and 2017. The results showed that 63.1% of all hospitals in Türkiye had at least basic EHR functions, and 36% had comprehensive EHR functions. Measuring the countrywide EHR adoption level is becoming popular in the world. This study aims to measure adoption levels of EHR in public hospitals in Türkiye, indicate the change to the previous study, and make a benchmark with other countries measuring national EHR adoption levels. The research question of this study is to reveal whether there has been a change in the adoption level of EHR in the three years since 2018 in Türkiye. Also, make a benchmark with other countries such as the US, Japan, and China in country-wide EHR adoption in 2021. METHODS: In 2021, 717 public hospitals actively operating in Türkiye completed the EMRAM survey. The survey results, deals with five topics (General Stage Status, Information Technology Security, Electronic Health Record/Clinical Data Repository, Clinical Documentation, Closed-Loop Management), was reviewed by the authors. Survey data were compared according to hospital type (Specialty Hospitals, General Hospitals, Teaching and Research Hospitals) in terms of general stage status. The data obtained from the survey results were analyzed with QlikView Personal Edition. The availability and prevalence of medical information systems and EHR functions and their use were measured. RESULTS: We found that 33.7% of public hospitals in Türkiye have only basic EHR functions, and 66.3% have extensive EHR functions, which yields that all hospitals (100%) have at least basic EHR functions. That means remarkable progress from the previous study covering 2013 and 2017. This level also indicates that Türkiye has slightly better adoption from the US (96%) and much better than China (85.3%) and Korea (58.1%). CONCLUSIONS: Although there has been outstanding (50%) progress since 2017 in Turkish public hospitals, it seems there is still a long way to disseminate comprehensive EHR functions, such as closed-loop medication administration, clinical decision support systems, patient engagement, etc. Measuring the stage of EHR adoption at regular intervals and on analytical scales is an effective management tool for policymakers. The bottom-up adoption approach established for adopting and managing EHR functions in the US has also yielded successful results in Türkiye.

Positive effects of health behaviors acquired during the COVID-19 pandemic process on the prevention of other infectious diseases.

Background/aim: It was aimed to evaluate the positive effects of health behaviors (general hygiene, wearing face masks, physical distancing, and travel restrictions) acquired during the coronavirus disease 2019 (COVID-19) pandemic on the prevention of other infectious diseases in Ankara Province, Türkiye. Materials and methods: This study was designed retrospectively. Among the notifiable group A infectious diseases, acute intestinal infections (AIIs) with International Classification of Diseases, Tenth Revision diagnosis codes A09 (diarrhea and gastroenteritis presumed to be of infectious origin), R11 (nausea and vomiting), and K52 (other noninfectious gastroenteritis and colitis), as well as influenza, tuberculosis, measles, varicella, malaria, and meningococcal meningitis were included in the scope of this study.The data of the selected infectious diseases in Ankara Province for the last 2 years before the pandemic (January 2018-December 2019) and for the 2-year period of the pandemic (January 2020-December 2021) were analyzed after checking the data. The number of cases were presented as frequencies, the 1-sample chi-squared test was used in the statistical analysis and the statistical significance level (α) was taken as 0.05. Results: The findings for each disease/disease group were discussed under separate headings. Comparing the prepandemic period (2018-2019) with the pandemic period (2020-2021), the decreases in the number of cases of selected infectious diseases, except influenza, were statistically significant. Conclusion: Undoubtedly, the experience gained from the pandemic struggle will guide us in shaping our future lives. From this point forward, we should be aware that living in crowded environments and as a highly mobile population, that unhygienic habits are unfavorable for the spread of all infectious diseases, and we should take care to continuously apply the precautions for healthy living in our new lifestyle.

Characteristics of diabetes mellitus patients in Turkey: An analysis of national electronic health records.

BACKGROUND: It was estimated that there were 537 million people with diabetes mellitus in 2021, representing 10.5% of the global adult population. Diabetes prevalence in Turkey is 13.5%, according to a meta-analysis and 17.3% according to a recent study. Although the primary purpose of Electronic Health Records (EHRs) is clinical, researchers can use them to conduct epidemiologic investigations. This study aims to document the prevalence of diabetes and to evaluate the healthcare utilization of people with diabetes compared to the people without diabetes, based on national EHR. METHODS: Only people over 14 years old were included in the analysis. Our criteria for being diabetic were 1) having an HbA1c over 6.5% (48 mmol/mol), 2) having a prescription with DM diagnosis, ICD-10 codes E10-E14, or 3) having at least two fasting blood glucose measurements over 126 mg/dl. RESULTS: At the end of 2020, there were 7,178,674 individuals with diabetes, with 11.12% prevalence, 13.10% in women while 9.12% in men. Age-adjusted healthcare facility admission per capita was 15.5 for people with diabetes, 9.5 for people without diabetes, while the number of prescriptions was 7.9 for people with diabetes while 4.5 for people without diabetes in 2019. The mean number of prescriptions containing antidiabetics was 2.88 per person with diabetes in 2019. DISCUSSION: Approximately 11% of Turkish people have diagnosed with diabetes. We estimate that about one-third of people with diabetes are undiagnosed and the majority of these people are men. The results show that such large databases have the capability of supplying a vast amount of information to the scientific community.

The effect of hypertension and antihypertensive therapies on the course of COVID-19 infection: Turkish national health system data.

AIM: The effect of hypertension (HT) and antihypertensive therapies such as renin-angiotensin-aldosterone system (RAAS) blockers on the disease course in COVID-19 patients is controversial. The purpose of this study was to evaluate the effect of HT and antihypertensive therapies on the course of COVID-19 disease. METHOD: The age, sex, comorbid diseases, and antihypertensive therapies of 132,790 patients with positive COVID-19 real-time transcriptase polymerase chain reaction (RT-PCR) tests in the Turkish Health Ministry National COVID-19 database between 11 March and 31 May 2020, were examined and analyzed. RESULTS: Forty-one percent of the 132,790 patients in this study (median age: 40, 47.3% female) were hospitalized for treatment, and 4.5% were followed-up in the intensive care unit (ICU). The most frequent comorbid disease, at 19.5%, was HT (n = 25,863). Mortality was determined in 4.9% of HT patients and 1.9% of non-HT patients (p < .001). HT, age, and male gender emerged as independent predictors of hospitalization and admission to the ICU, while HT was not a predictor of mortality. In addition, no adverse effect of any antihypertensive treatment, including RAAS inhibitors, on mortality was detected. CONCLUSION: Based on Turkish national data, HT is common in COVID-19 patients, but does not appear to be an independent predictor of mortality, and no adverse effect of RAAS inhibitors on COVID-19-related mortality was observed.

The outcome of COVID-19 in patients with hematological malignancy.

In this study, we aim to report the outcomes for COVID-19 in patients with hematological malignancy in Turkey. Data from laboratory-confirmed 188 897 COVID-19 patients diagnosed between 11 March 2020 and 22 June 2020 included in the Republic of Turkey, Ministry of Health database were analyzed retrospectively. All COVID-19 patients with hematological malignancy (n = 740) were included in the study and an age, sex, and comorbidity-matched cohort of COVID-19 patients without cancer (n = 740) at a 1:1 ratio was used for comparison. Non-Hodgkin lymphoma (30.1%), myelodysplastic syndrome (19.7%), myeloproliferative neoplasm (15.7%) were the most common hematological malignancies. The rates of severe and critical disease were significantly higher in patients with hematological malignancy compared with patients without cancer (P = .001). The rates of hospital and intensive care unit (ICU) admission were higher in patients with hematological malignancy compared with the patients without cancer (P = .023, P = .001, respectively). The length of hospital stay and ICU stay was similar between groups (P = .7, P = .3, retrospectively). The rate of mechanical ventilation (MV) support was higher in patients with hematological malignancy compared with the control group (P = .001). The case fatality rate was 13.8% in patients with hematological malignancy, and it was 6.8% in the control group (P = .001). This study reveals that there is an increased risk of COVID-19-related serious events (ICU admission, MV support, or death) in patients with hematological malignancy compared with COVID-19 patients without cancer and confirms the high vulnerability of patients with hematological malignancy in the current pandemic.

Perioperative SARS-CoV-2 infection among women undergoing major gynecologic cancer surgery in the COVID-19 era: A nationwide, cohort study from Turkey.

OBJECTIVE: The objective of this study was to determine the rate of perioperative SARS-CoV-2 infection among gynecologic cancer patients undergoing major surgery. METHODS: The database of the Turkish Ministry of Health was searched in order to identify all consecutive gynecologic cancer patients undergoing major surgery between March 11, 2020 and April 30, 2020 for this retrospective, nationwide, cohort study. The inclusion criteria were strictly founded on a final histopathological diagnosis of a malignant gynecologic tumor. COVID-19 cases were diagnosed by reverse transcriptase- polymerase chain reaction testing for SARS-CoV-2. The rate of perioperative SARS-CoV-2 infection and the 30-day mortality rate of COVID-19 patients were investigated. RESULTS: During the study period, 688 women with gynecologic cancer undergoing major surgery were identified nationwide. The median age of the patients was 59 years. Most of the surgeries were open (634/688, 92.2%). There were 410 (59.6%) women with endometrial cancer, 195 (28.3%) with ovarian cancer, 66 (9.6%) with cervical cancer, 14 (2.0%) with vulvar cancer and 3 (0.4%) with uterine sarcoma. The rate of SARS-CoV-2 infections confirmed within 7 days before or 30 days after surgery was 46/688 (6.7%). All but one woman was diagnosed postoperatively (45/46, 97.8%). The rates of intensive care unit admission and invasive mechanical ventilation were 4/46 (8.7%) and 2/46 (4.3%), respectively. The 30-day mortality rate was 0%. CONCLUSION: In the COVID-19 era, gynecologic cancer surgery may be performed with an acceptable rate of perioperative SARS-CoV-2 infection if the staff and the patients strictly adhere to the established infection control measures.

First known COVID-19 case and contact tracing efforts in Istanbul, Turkey

Background/aim: COVID-19 has now become a global pandemic. Understanding the routes of transmission is vital in the mitigation and suppression of the disease. Istanbul has become one of the disease's epicenters. This study aims to describe the first COVID-19 case and contact tracing efforts around it in Istanbul. Materials and methods: The descriptive study was conducted in Istanbul, Turkey. The first COVID-19 cases and those associated with them were investigated with contact tracing, and primary and secondary cases were described. Results: The source case was an individual who returned to Turkey from international travel at the beginning of March and tested PCR (­). The index case is the brother of the source case and is considered the first PCR (+) case diagnosed in Istanbul. Contact tracing revealed 23 PCR (+) cases, 14 of which resulted in hospitalization and three deaths. Conclusions: This study described cases of the first COVID-19 cluster in Istanbul. Moreover, contact tracing was used in this first cluster. This contributed to contact tracing algorithms in Turkey.

COVID-19 clinical course and blood groups: Turkish population-based study

Background/aim: SARS-CoV-2 enters the cell through the binding of the S glycoprotein on the surface of the virus to the angiotensin- converting enzyme 2 (ACE-2) in the host cells and also SARS-CoV S protein binding to ACE-2 was inhibited by anti-A antibodies. The aim of the study was to investigate the relationship between blood groups and the course of COVID-19 in Turkey. Materials and methods: Laboratory confirmed COVID-19 patients aged 18 and over (n = 39.850) were randomized in age and sex- matched groups according to blood groups. Results: Advanced age, male sex and blood group A were found to be related with increased rate of intensive care unit (ICU) admission (OR = 1.089, 95% CI: 1.085­1.093 for age; OR = 1.963, 95% CI: 1.737­2.218 for male sex; OR = 1.216, 95% CI: 1.023­1.446 for blood group A). When blood group O individuals were compared to non-O individuals, no significant difference was observed regarding the rate of hospital and ICU admission, mechanical ventilation (MV) support, length of hospital and ICU stay, and case fatality rate (CFR). The CFR in patients with blood group A, B, O, and AB were 2.6%, 2.2%, 3.1%, and 2.3%, respectively. There were no significant differences between Rh-negative and positive patients regarding the rate of hospital and ICU admission (p = 0.280 and p = 0.741, respectively), also the rate of MV support and CFR was similar (p = 0.933 and p = 0.417). Conclusion: Our study revealed that ABO and Rh blood groups do not have any impact on the rate of hospital admission, hospital and ICU stay, MV support, and CFR.

Outcome of COVID-19 in patients with chronic myeloid leukemia receiving tyrosine kinase inhibitors.

INTRODUCTION: In this study, we aim to report the outcome of COVID-19 in chronic myeloid leukemia (CML) patients receiving tyrosine kinase inhibitor (TKI). METHOD: The data of 16 laboratory-confirmed COVID-19 patients with CML receiving TKI and age, gender, and comorbid disease matched COVID-19 patients without cancer at a 3/1 ratio (n = 48), diagnosed between March 11, 2020 and May 22, 2020 and included in the Republic of Turkey, Ministry of Health database, were analyzed retrospectively. RESULTS: The rates of intensive care unit (ICU) admission, and mechanical ventilation (MV) support were lower in CML patients compared to the control group, however, these differences did not achieve statistical significance (p = 0.1, and p = 0.2, respectively). The length of hospital stay was shorter in CML patients compared with the control group; however, it was not statistically significant (p = 0.8). The case fatality rate (CFR) in COVID-19 patients with CML was 6.3%, and it was 12.8% in the control group. Although the CFR in CML patients with COVID-19 was lower compared to the control group, this difference did not achieve statistical significance (p = 0.5). When CML patients were divided into 3 groups according to the TKI, no significant difference was observed regarding the rate of ICU admission, MV support, CFR, the length of stay in both hospital and ICU (all p > 0.05). CONCLUSION: This study highlights that large scale prospective and randomized studies should be conducted in order to investigate the role of TKIs in the treatment of COVID-19.

Adoption rates of electronic health records in Turkish Hospitals and the relation with hospital sizes.

BACKGROUND: Nation-wide adoption of electronic health records (EHRs) in hospitals has become a Turkish policy priority in recognition of their benefits in maintaining the overall quality of clinical care. The electronic medical record maturity model (EMRAM) is a widely used survey tool developed by the Healthcare Information and Management Systems Society (HIMSS) to measure the rate of adoption of EHR functions in a hospital or a secondary care setting. Turkey completed many standardizations and infrastructural improvement initiatives in the health information technology (IT) domain during the first phase of the Health Transformation Program between 2003 and 2017. Like the United States of America (USA), the Turkish Ministry of Health (MoH) applied a bottom-up approach to adopting EHRs in state hospitals. This study aims to measure adoption rates and levels of EHR use in state hospitals in Turkey and investigate any relationship between adoption and use and hospital size. METHODS: EMRAM surveys were completed by 600 (68.9%) state hospitals in Turkey between 2014 and 2017. The availability and prevalence of medical information systems and EHR functions and their use were measured. The association between hospital size and the availability/prevalence of EHR functions was also calculated. RESULTS: We found that 63.1% of all hospitals in Turkey have at least basic EHR functions, and 36% have comprehensive EHR functions, which compares favourably to the results of Korean hospitals in 2017, but unfavorably to the results of US hospitals in 2015 and 2017. Our findings suggest that smaller hospitals are better at adopting certain EHR functions than larger hospitals. CONCLUSION: Measuring the overall adoption rates of EHR functions is an emerging approach and a beneficial tool for the strategic management of countries. This study is the first one covering all state hospitals in a country using EMRAM. The bottom-up approach to adopting EHR in state hospitals that was successful in the USA has also been found to be successful in Turkey. The results are used by the Turkish MoH to disseminate the nation-wide benefits of EHR functions.

The epidemiology of osteoporosis in Türkiye: A comprehensive analysis using the e-Nabiz database.

Objectives: The study aimed to define the epidemiology of osteoporosis and low bone mass based on bone mineral density at the femoral neck and the lumbar spine in adults 50 years and older in Türkiye. Patients and methods: The retrospective study included all patients diagnosed with osteoporosis with a bone mineral density scan between January 2016 and May 2023 in the e-Nabiz database, a government-run online healthcare database including over 68 million of active users. The data was categorized according to patient demographics, presentation age (0-17, 18-64, and >65 years), geographic regions, and healthcare levels. Results: A total of 4,253,039 patients (723,863 [17.0%] males, 3,529,176 [83.0%] females) were diagnosed with osteoporosis. Of the patients, 2,432,607 (57.2%) belonged to the 18-64 years age group, 1,783,690 (41.9%) were in the >65 years group, and 36,742 (0.9%) were in the 0-17 years group. The mean age at presentation was 61.1±14.4 (range, 0 to 110) years. The Marmara region had the highest number of cases with 1,330,325 (31.3%), and the Aegean region had the lowest with 194,009 (4.6%). Istanbul had the highest rate of osteoporosis as a province (18.4%), followed by Ankara (7.5%). The lowest rates were recorded in Bayburt (0.0%) and Tunceli (0.1%), respectively. Conclusion: Registry studies provide reliable information in epidemiological studies. In this study, the first of its kind in Türkiye, we reported the geographical distribution of osteoporosis. As expected, there were more osteoporosis patients in the more densely populated areas of the country. Secondary and tertiary care centers had more entries compared to primary care centers. The annual incidence of osteoporosis showed a declining trend over the years.

Insights from Turkey's big data: unraveling the preventability, pathogenesis, and risk management of Alzheimer's disease (AD).

Extensive research into dementia has more recently honed in on several key areas. These areas include the advancement of techniques such as the accumulation of amyloid-ß and tau proteins, the monitoring of cerebral hypometabolism rates etc. The primary objective of this study is to explore the intricate interplay between Alzheimer's disease (AD)-other dementias (D) and various chronic illnesses in terms of time, intensity, and connectivity. In this context, we retrospectively examined data of 149,786 individuals aged 65 and above who received diagnoses of AD and D in the year 2020. At first, logistic regression (LR) analysis has been made with "sex", "age" and "foreigner" (citizenship status) independent variables for AD and D. The LR models shows that while "sex" and "age" variables have a small rate on the risk of developing AD/D, it is detected that being a foreigner increase the risk of AD and D as 69.8% and 88.5% respectively. Besides, the LR models have middle-level success prediction rate for both of the two dependent variables. Additionally, we used the parallel coordinates graphs method within the R Studio to visualize their relationships and connections. The findings of this investigation strongly suggest that AD/D don't stand as isolated conditions, but rather stem from intricate interactions and progressive processes involving diverse chronic diseases over time. Notably, ailments including hypertension, coronary artery disease, diabetes, hyperlipidemia, and psychological disorders, contribute substantially to the emergence of both AD and D. This study highlights that the fight against AD/D can only be possible with next-generation prophylactic interventions that can predict and manage risks. Such an approach holds the potential to potentially lower AD and dementia to levels that are amenable to treatment.

Exploring Regional Disparities in Heart Failure Epidemiology and Outcomes: A Comprehensive Study Across Geographical Regions in Türkiye.

Background: Heart failure (HF) is a common condition that affects 1-3% of the general population. Its prevalence exhibits notable international and intranational disparities, partly explained by socioeconomic status, religion, ethnic diversity, and geographic factors. A comprehensive understanding of the epidemiological symptoms of HF in different regions of Türkiye has yet to be revealed. Aims: To examine epidemiological data from 2016 to 2022, focusing on crucial patient characteristics and geographical regions, to determine the incidence and prevalence of HF in Türkiye across seven diverse geographical regions. Study Design: A nationwide population-based retrospective cohort study. Methods: The comprehensive National Electronic Database of the Turkish Ministry of Health was used in this study to obtain data that covers the whole Turkish population from January 1, 2016, to December 31, 2022. The International Classification of Diseases-10 (ICD-10) codes were used to identify adults with HF (n = 2,701,099) and associated comorbidities. Türkiye is divided into seven geographically distinct regions. Epidemiological characteristics and survival data of these regions were analyzed separately. All-cause mortality was set as the primary outcome. Results: In , the total estimated prevalence of adult patients with HF is 2.939%, ranging from 2.442% in Southeastern Anatolia to 4.382% in the Black Sea Region. Except for the Eastern Anatolia Region, the three most often reported comorbidities were hypertension, dyslipidemia, and anxiety disorders. The rates of prescribing guideline-directed medical therapy (GDMT) for HF and other medications varied significantly. GDMT prescription rates were lowest in the Eastern Anatolia Region (82.6% for beta-blockers, 48.7% for RASi, 31.8% for mineralocorticoid receptor antagonists, and 9.4% for SGLT2i). The Mediterranean and Aegean regions had the highest median N-terminal brain natriuretic peptide (NT-proBNP) levels of 1,990,0 pg/ml (518.0-6,636,0) and 1,441,0 pg/ml (363.0-5,000,0), respectively. From 2016 to 2022, 915,897 (33.9%) of 2,701,099 patients died. The Eastern Anatolia Region had the lowest all-cause mortality rate of 26.5%, whereas the Black Sea Region had the highest all-cause mortality rate of 35.3%. Conclusion: Our real-world analysis revealed geographic disparities in HF characteristics, such as decreased mortality in socioeconomically challenged regions. Higher stress susceptibility in developed regions may increase the likelihood of adverse outcomes.

Prevalence, number of fractures, and hospital characteristics among the pediatric population with osteogenesis imperfecta: results from the nationwide registry of Türkiye.

OBJECTIVE: Osteogenesis imperfecta is a rare connective tissue disorder with an estimated number of 4-20 cases per 100 000 inhabitants. Although the prevalence differs among regions, there are only a few number of national registry studies published previously. The aim of this study was to determine the prevalence of osteogenesis imperfecta among the pediatric age group in Türkiye, together with the patient and hospital characteristics. METHODS: Via the e-health database of the Turkish Ministry of Health, we collected and retrospectively evaluated the medical records of the patients who were under 18 years of age with the diagnosis of osteogenesis imperfecta between 2016 and 2022. Total number of fractures, treatment modalities, and the hospital characteristics were also recorded. Two thousand seven hundred forty patients were extracted with a mean age of 9.77 ±â€…4.81 years. RESULTS: The prevalence of osteogenesis imperfecta in Türkiye among the pediatric population was calculated as 11.6 per 100 000 individuals. The median annual incidence was 31.5 per 100 000 live births between 2016 and 2022. There were 17.4 hospital admissions per patient per year. The mean age at the time of in-hospital mortality was 4.08 ±â€…5.03 years. The fracture rate per patient per year was 0.56 and conservative treatment was the most commonly preferred modality for all ages. CONCLUSION: This is the first registry-based nationwide study of osteogenesis imperfecta patients in Türkiye, providing important characteristics of the disease. Together with the help of the ongoing development of national health database systems, precision in patient identification would yield substantial benefits in terms of management of osteogenesis imperfecta.