Pub Date : 2024-09-27DOI: 10.1186/s12902-024-01737-8
Zhenzhen Wang, Hang Zhang, Guixia Zheng, Zheng Wang, Lei Shi
Background: Klotho plays a pivotal role in human aging. Metabolic syndrome (MetS) is composed of multiple conditions that are also risk factors for cardiovascular disease and diabetes. We try to discuss gender-specific differences in Klotho and the associations between Klotho and MetS components.
Materials and methods: The National Health and Nutrition Examination Survey database from cycle 2015-2016 was analyzed. MetS was defined according to the 2005 updated criteria by the American Heart Association and National Heart Lung and Blood Institute. Gender-specific differences in serum Klotho, and associations between Klotho level and MetS components were examined.
Results: A total of 2475 participants (40-79 years old) with comprehensive data were included (52% women). In general, lower Klotho was associated with advanced age, male sex, tobacco use, elevated triglycerides, renal insufficiency, inflammation, low estradiol, and low sex hormone-binding globulin (SHBG). The correlation between MetS and Klotho was more obvious in women, mainly in waist circumference and triglyceride. There were no gender-specific differences in the associations between Klotho and renal dysfunction, but multivariate linear regression analysis showed gender differences in other factors associated with Klotho. Estradiol, SHBG, high-density lipoprotein cholesterol (HDL), and high-sensitivity C-reactive protein (CRP) were associated with Klotho levels independent of age and renal function in men, whereas in women, Klotho was independently associated with triglycerides and white blood cell count.
Conclusion: Klotho levels had gender disparities regardless of age, renal function, and sex hormones. In the current cohort, triglycerides were the major component of MetS that was independently associated with serum Klotho levels, and the association was particularly seen in women. However, HDL was found to be the male-specific MetS component independently associated with Klotho.
{"title":"Gender-specific association between circulating serum Klotho and metabolic components in adults.","authors":"Zhenzhen Wang, Hang Zhang, Guixia Zheng, Zheng Wang, Lei Shi","doi":"10.1186/s12902-024-01737-8","DOIUrl":"10.1186/s12902-024-01737-8","url":null,"abstract":"<p><strong>Background: </strong>Klotho plays a pivotal role in human aging. Metabolic syndrome (MetS) is composed of multiple conditions that are also risk factors for cardiovascular disease and diabetes. We try to discuss gender-specific differences in Klotho and the associations between Klotho and MetS components.</p><p><strong>Materials and methods: </strong>The National Health and Nutrition Examination Survey database from cycle 2015-2016 was analyzed. MetS was defined according to the 2005 updated criteria by the American Heart Association and National Heart Lung and Blood Institute. Gender-specific differences in serum Klotho, and associations between Klotho level and MetS components were examined.</p><p><strong>Results: </strong>A total of 2475 participants (40-79 years old) with comprehensive data were included (52% women). In general, lower Klotho was associated with advanced age, male sex, tobacco use, elevated triglycerides, renal insufficiency, inflammation, low estradiol, and low sex hormone-binding globulin (SHBG). The correlation between MetS and Klotho was more obvious in women, mainly in waist circumference and triglyceride. There were no gender-specific differences in the associations between Klotho and renal dysfunction, but multivariate linear regression analysis showed gender differences in other factors associated with Klotho. Estradiol, SHBG, high-density lipoprotein cholesterol (HDL), and high-sensitivity C-reactive protein (CRP) were associated with Klotho levels independent of age and renal function in men, whereas in women, Klotho was independently associated with triglycerides and white blood cell count.</p><p><strong>Conclusion: </strong>Klotho levels had gender disparities regardless of age, renal function, and sex hormones. In the current cohort, triglycerides were the major component of MetS that was independently associated with serum Klotho levels, and the association was particularly seen in women. However, HDL was found to be the male-specific MetS component independently associated with Klotho.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11430003/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142341711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-20DOI: 10.1186/s12902-024-01724-z
Amal H Mohamed, Majid Darraj, Abuobaida Yassin, Mohammed Somaili, Ahmed Sayed, Omar Oraibi, Mostafa Mohrag, Mohammed Ali Madkhali, Sameer Alqassimi, Mohammed A Madkhali
Background: Diabetes Mellitus is a major predictor for severity and mortality that is increased by 50% in COVID-19 infection. The aim of this study is to estimate the prevalence of new-onset DM among patients with COVID-19 and examined the short clinical outcomes of the disease.
Method: This is a retrospective study of revising electronic medical records to assess the prevalence of new-onset DM in COVID-19 patients and its impact on the severity of the disease. Adult patients with confirmed COVID-19 during the period from June 2020 to December 2021 were enrolled.
Results: 725 patients were included. 53.8% of them were males and 46.2 were females, the mean age was 43.35 ± 16.76. 13.2% were diabetics; 2.2% with preexisting DM and 11.0% had new-onset DM. 6.34% had coexisting medical conditions. DKA at presentation was observed in 6 patients (0.8%) of newly diagnosed DM. There is a significant correlation between age and family history (FH), and BMI and new-onset DM (P < 0.05). The overall mortality rate was 2.2%, and it was significantly higher in diabetics in comparison to non-diabetics (P < 0.001). 8.6% had persistent hyperglycemia after 4 months of follow-up.
Conclusion: The prevalence of COVID-19 related new-onset DM was correlated significantly with disease severity and mortality rate. Age, FH, and BMI, were the major predictors. We recommend that frequent monitoring of blood glucose for patients with COVID-19 infections to detect DM, therefore, prompt treatment can be initiated.
{"title":"Prevalence and short-term clinical impacts of new-onset diabetes mellitus among patients with COVID-19 in jazan region, Saudi Arabia.","authors":"Amal H Mohamed, Majid Darraj, Abuobaida Yassin, Mohammed Somaili, Ahmed Sayed, Omar Oraibi, Mostafa Mohrag, Mohammed Ali Madkhali, Sameer Alqassimi, Mohammed A Madkhali","doi":"10.1186/s12902-024-01724-z","DOIUrl":"https://doi.org/10.1186/s12902-024-01724-z","url":null,"abstract":"<p><strong>Background: </strong>Diabetes Mellitus is a major predictor for severity and mortality that is increased by 50% in COVID-19 infection. The aim of this study is to estimate the prevalence of new-onset DM among patients with COVID-19 and examined the short clinical outcomes of the disease.</p><p><strong>Method: </strong>This is a retrospective study of revising electronic medical records to assess the prevalence of new-onset DM in COVID-19 patients and its impact on the severity of the disease. Adult patients with confirmed COVID-19 during the period from June 2020 to December 2021 were enrolled.</p><p><strong>Results: </strong>725 patients were included. 53.8% of them were males and 46.2 were females, the mean age was 43.35 ± 16.76. 13.2% were diabetics; 2.2% with preexisting DM and 11.0% had new-onset DM. 6.34% had coexisting medical conditions. DKA at presentation was observed in 6 patients (0.8%) of newly diagnosed DM. There is a significant correlation between age and family history (FH), and BMI and new-onset DM (P < 0.05). The overall mortality rate was 2.2%, and it was significantly higher in diabetics in comparison to non-diabetics (P < 0.001). 8.6% had persistent hyperglycemia after 4 months of follow-up.</p><p><strong>Conclusion: </strong>The prevalence of COVID-19 related new-onset DM was correlated significantly with disease severity and mortality rate. Age, FH, and BMI, were the major predictors. We recommend that frequent monitoring of blood glucose for patients with COVID-19 infections to detect DM, therefore, prompt treatment can be initiated.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11414278/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142280292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective: The primary objective of this study was to investigate the risk factors for diabetic peripheral neuropathy (DPN) and to establish an early diagnostic prediction model for its onset, based on clinical data and biochemical indices.
Methods: Retrospective data were collected from 1,446 diabetic patients at the First Affiliated Hospital of Anhui University of Chinese Medicine and were split into training and internal validation sets in a 7:3 ratio. Additionally, 360 diabetic patients from the Second Affiliated Hospital were used as an external validation cohort. Feature selection was conducted within the training set, where univariate logistic regression identified variables with a p-value < 0.05, followed by backward elimination to construct the logistic regression model. Concurrently, the random forest algorithm was applied to the training set to identify the top 10 most important features, with hyperparameter optimization performed via grid search combined with cross-validation. Model performance was evaluated using ROC curves, decision curve analysis, and calibration curves. Model fit was assessed using the Hosmer-Lemeshow test, followed by Brier Score evaluation for the random forest model. Ten-fold cross-validation was employed for further validation, and SHAP analysis was conducted to enhance model interpretability.
Results: A nomogram model was developed using logistic regression with key features: limb numbness, limb pain, diabetic retinopathy, diabetic kidney disease, urinary protein, diastolic blood pressure, white blood cell count, HbA1c, and high-density lipoprotein cholesterol. The model achieved AUCs of 0.91, 0.88, and 0.88 for the training, validation, and test sets, respectively, with a mean AUC of 0.902 across 10-fold cross-validation. Hosmer-Lemeshow test results showed p-values of 0.595, 0.418, and 0.126 for the training, validation, and test sets, respectively. The random forest model demonstrated AUCs of 0.95, 0.88, and 0.88 for the training, validation, and test sets, respectively, with a mean AUC of 0.886 across 10-fold cross-validation. The Brier score indicates a good calibration level, with values of 0.104, 0.143, and 0.142 for the training, validation, and test sets, respectively.
Conclusion: The developed nomogram exhibits promise as an effective tool for the diagnosis of diabetic peripheral neuropathy in clinical settings.
{"title":"Establishment and external validation of an early warning model of diabetic peripheral neuropathy based on random forest and logistic regression.","authors":"Lujie Wang, Jiajie Li, Yixuan Lin, Huilun Yuan, Zhaohui Fang, Aihua Fei, Guoming Shen, Aijuan Jiang","doi":"10.1186/s12902-024-01728-9","DOIUrl":"https://doi.org/10.1186/s12902-024-01728-9","url":null,"abstract":"<p><strong>Objective: </strong>The primary objective of this study was to investigate the risk factors for diabetic peripheral neuropathy (DPN) and to establish an early diagnostic prediction model for its onset, based on clinical data and biochemical indices.</p><p><strong>Methods: </strong>Retrospective data were collected from 1,446 diabetic patients at the First Affiliated Hospital of Anhui University of Chinese Medicine and were split into training and internal validation sets in a 7:3 ratio. Additionally, 360 diabetic patients from the Second Affiliated Hospital were used as an external validation cohort. Feature selection was conducted within the training set, where univariate logistic regression identified variables with a p-value < 0.05, followed by backward elimination to construct the logistic regression model. Concurrently, the random forest algorithm was applied to the training set to identify the top 10 most important features, with hyperparameter optimization performed via grid search combined with cross-validation. Model performance was evaluated using ROC curves, decision curve analysis, and calibration curves. Model fit was assessed using the Hosmer-Lemeshow test, followed by Brier Score evaluation for the random forest model. Ten-fold cross-validation was employed for further validation, and SHAP analysis was conducted to enhance model interpretability.</p><p><strong>Results: </strong>A nomogram model was developed using logistic regression with key features: limb numbness, limb pain, diabetic retinopathy, diabetic kidney disease, urinary protein, diastolic blood pressure, white blood cell count, HbA1c, and high-density lipoprotein cholesterol. The model achieved AUCs of 0.91, 0.88, and 0.88 for the training, validation, and test sets, respectively, with a mean AUC of 0.902 across 10-fold cross-validation. Hosmer-Lemeshow test results showed p-values of 0.595, 0.418, and 0.126 for the training, validation, and test sets, respectively. The random forest model demonstrated AUCs of 0.95, 0.88, and 0.88 for the training, validation, and test sets, respectively, with a mean AUC of 0.886 across 10-fold cross-validation. The Brier score indicates a good calibration level, with values of 0.104, 0.143, and 0.142 for the training, validation, and test sets, respectively.</p><p><strong>Conclusion: </strong>The developed nomogram exhibits promise as an effective tool for the diagnosis of diabetic peripheral neuropathy in clinical settings.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11414046/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142280291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background/aim: In the current study, we aimed to assess the association of carbohydrate quality index (CQI) with the risk of non-alcoholic fatty liver disease (NAFLD) in Iranian adults.
Methods: This case-control study was conducted on 225 newly diagnosed NAFLD patients and 450 controls, aged 20-60 years. A food frequency questionnaire was used to calculate the CQI and its components, including fiber intake, glycemic index, whole grains: total grains ratio, and solid carbohydrates: total carbohydrates ratio. Multivariable logistic regression was used to estimate the odds ratio (OR) of NAFLD across the tertile of CQI and its components.
Results: The participant's mean ± SD of body mass index and age were 26.8 ± 4.3 kg/m2 and 38.1 ± 8.8 years, respectively. The median (interquartile) CQI score in participants of the case and control groups was 20 (15-25) and 23 (18-28), respectively. In the multivariable-adjusted model, the risk of NAFLD decreased significantly across the tertiles of the CQI [(OR: 0.20; %95CI: 0.11-0.39), Ptrend <0.001)]. Also, the odds of NAFLD decreased across tertiles of solid carbohydrates to total carbohydrates ratio [(OR: 0.39; 95%CI: 0.22-0.69), Ptrend <0.001)]. However, a high dietary glycemic index (GI) was associated with increased odds of NAFLD [(OR:7.47; 95%CI: 3.89-14.33, Ptrend<0.001)]. There was no significant relationship between other CQI components, including fiber intake and whole grain/total grains and the risk of NAFLD.
Conclusions: Our results revealed that a diet with a high quality of carbohydrates, characterized by higher intakes of solid carbohydrates, whole grain, and low GI carbohydrates, can be related to a reduced risk of NAFLD.
{"title":"Carbohydrate quality index and risk of non-alcoholic fatty liver disease in Iranian adults.","authors":"Mitra Kazemi Jahromi, Niloufar Saber, Mostafa Norouzzadeh, Ghazal Daftari, Fatemeh Pourhabibi-Zarandi, Hamid Ahmadirad, Hossein Farhadnejad, Farshad Teymoori, Ammar Salehi-Sahlabadi, Parvin Mirmiran","doi":"10.1186/s12902-024-01609-1","DOIUrl":"https://doi.org/10.1186/s12902-024-01609-1","url":null,"abstract":"<p><strong>Background/aim: </strong>In the current study, we aimed to assess the association of carbohydrate quality index (CQI) with the risk of non-alcoholic fatty liver disease (NAFLD) in Iranian adults.</p><p><strong>Methods: </strong>This case-control study was conducted on 225 newly diagnosed NAFLD patients and 450 controls, aged 20-60 years. A food frequency questionnaire was used to calculate the CQI and its components, including fiber intake, glycemic index, whole grains: total grains ratio, and solid carbohydrates: total carbohydrates ratio. Multivariable logistic regression was used to estimate the odds ratio (OR) of NAFLD across the tertile of CQI and its components.</p><p><strong>Results: </strong>The participant's mean ± SD of body mass index and age were 26.8 ± 4.3 kg/m<sup>2</sup> and 38.1 ± 8.8 years, respectively. The median (interquartile) CQI score in participants of the case and control groups was 20 (15-25) and 23 (18-28), respectively. In the multivariable-adjusted model, the risk of NAFLD decreased significantly across the tertiles of the CQI [(OR: 0.20; %95CI: 0.11-0.39), P<sub>trend</sub> <0.001)]. Also, the odds of NAFLD decreased across tertiles of solid carbohydrates to total carbohydrates ratio [(OR: 0.39; 95%CI: 0.22-0.69), P<sub>trend</sub> <0.001)]. However, a high dietary glycemic index (GI) was associated with increased odds of NAFLD [(OR:7.47; 95%CI: 3.89-14.33, P<sub>trend</sub><0.001)]. There was no significant relationship between other CQI components, including fiber intake and whole grain/total grains and the risk of NAFLD.</p><p><strong>Conclusions: </strong>Our results revealed that a diet with a high quality of carbohydrates, characterized by higher intakes of solid carbohydrates, whole grain, and low GI carbohydrates, can be related to a reduced risk of NAFLD.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11414208/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142280290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-19DOI: 10.1186/s12902-024-01717-y
Jacklyn Vollmer, W. Jay Christian, Mary E. Lacy
Polycystic ovary syndrome (PCOS) is a hormonal disorder that affects 6–12% of United States women of reproductive age. Because women with PCOS are at an increased risk of developing type 2 diabetes, clinical practice guidelines from a number of organizations (e.g. American Diabetes Association, American College of Obstetricians and Gynecologists, US Preventive Services Task Force) recommend that individuals with PCOS are routinely screened for diabetes. Guidelines further indicate that an oral glucose tolerance test (OGTT) should be used for diabetes screening in women with PCOS as opposed to an A1C or fasting plasma glucose test. The purpose of this study is two-fold: 1) to estimate rates of diabetes screening among a nationwide sample of commercially insured women with PCOS and 2) to report the percentage of women screened using each test (OGTT, A1C, fasting plasma glucose) among those who were screened. We used the MarketScan Commercial Claims database (2011–2019) to identify a sample of women aged 18–64 years with PCOS who were free from diabetes at baseline and had ≥ 5 years of continuous enrollment in their insurance plan. PCOS was ascertained using International Classification of Disease diagnosis codes (ICD-9: 256.4; ICD-10: E28.2). Diabetes screening was ascertained using Current Procedural Terminology (CPT) codes (A1C: 8303683037; Fasting blood sugar: 82947; OGTT: 82950). Diabetes screening rates were calculated for the overall study sample as well as across subgroups defined by age, overweight/obesity, hypertension, hypercholesterolemia, and vascular disease. In our sample of 191,110 commercially insured women with PCOS, 73.40% were screened at least once for diabetes during a five-year period. Among the women screened, 19.24% were screened using the Androgen Excess Society (AES)-recommended OGTT, 61.58% were screened using A1C, and 23.37% were screened using fasting blood sugar. In a sample of commercially insured individuals spanning the timeframe 2011–2019, nearly 75% of women with PCOS complied with the ACOG screening guidelines for diabetes. Although OGTT is recommended as the preferred screening tool for women with PCOS it was less commonly used than A1C and fasting blood sugar tests.
{"title":"Diabetes screening among women with polycystic ovary syndrome: a descriptive study of commercial claims, 2011–2019","authors":"Jacklyn Vollmer, W. Jay Christian, Mary E. Lacy","doi":"10.1186/s12902-024-01717-y","DOIUrl":"https://doi.org/10.1186/s12902-024-01717-y","url":null,"abstract":"Polycystic ovary syndrome (PCOS) is a hormonal disorder that affects 6–12% of United States women of reproductive age. Because women with PCOS are at an increased risk of developing type 2 diabetes, clinical practice guidelines from a number of organizations (e.g. American Diabetes Association, American College of Obstetricians and Gynecologists, US Preventive Services Task Force) recommend that individuals with PCOS are routinely screened for diabetes. Guidelines further indicate that an oral glucose tolerance test (OGTT) should be used for diabetes screening in women with PCOS as opposed to an A1C or fasting plasma glucose test. The purpose of this study is two-fold: 1) to estimate rates of diabetes screening among a nationwide sample of commercially insured women with PCOS and 2) to report the percentage of women screened using each test (OGTT, A1C, fasting plasma glucose) among those who were screened. We used the MarketScan Commercial Claims database (2011–2019) to identify a sample of women aged 18–64 years with PCOS who were free from diabetes at baseline and had ≥ 5 years of continuous enrollment in their insurance plan. PCOS was ascertained using International Classification of Disease diagnosis codes (ICD-9: 256.4; ICD-10: E28.2). Diabetes screening was ascertained using Current Procedural Terminology (CPT) codes (A1C: 8303683037; Fasting blood sugar: 82947; OGTT: 82950). Diabetes screening rates were calculated for the overall study sample as well as across subgroups defined by age, overweight/obesity, hypertension, hypercholesterolemia, and vascular disease. In our sample of 191,110 commercially insured women with PCOS, 73.40% were screened at least once for diabetes during a five-year period. Among the women screened, 19.24% were screened using the Androgen Excess Society (AES)-recommended OGTT, 61.58% were screened using A1C, and 23.37% were screened using fasting blood sugar. In a sample of commercially insured individuals spanning the timeframe 2011–2019, nearly 75% of women with PCOS complied with the ACOG screening guidelines for diabetes. Although OGTT is recommended as the preferred screening tool for women with PCOS it was less commonly used than A1C and fasting blood sugar tests.","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142261154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Although the skeleton remains a common target of primary hyperparathyroidism, the classic bone disease “osteitis fibrosa cystica” is currently rare due to early diagnosis. This case represents severe classic bone manifestations of primary hyperparathyroidism due to delayed diagnosis and delayed medical attention. A 19-year-old young female was symptomatically managed for chronic back pain and nonspecific bone pain in the small joints of both hands over 2 months by a general practitioner. The patient had delayed seeking for treatment for 3 months. Later, she was evaluated for tuberculosis, hematological malignancies and rheumatic disorders following a fractured T12 vertebra and underwent pedicle screw fixation. However, clinical examination and investigations, including biochemistry, imaging and histology, ruled out the above conditions. Unfortunately, serum calcium level was not performed at the initial presentation. Later, primary hyperparathyroidism was diagnosed on the basis of moderate hypercalcaemia and elevated intact PTH levels (2064 pg/ml). She had sufficient vitamin D levels and normal kidney function. Her DXA scan revealed severe secondary osteoporosis with the lowest Z score of -8 at the total lumbar spine. Ultrasonography of the thyroid revealed a hypo echoic mass in the left lower neck, and localization studies with technetium-99 m sestamibi and 4D-CT revealed a left inferior parathyroid adenoma (1.6 × 1.5 × 1.6 cm). CT scan also revealed brown tumors in the mandible and vertebrae and diffuse bony changes in the skull, sternum, humerus and vertebrae. Her radiographs revealed subperiosteal bone resorption on the radial aspects of the middle and distal phalanges and brown tumors in both the ulna and fibula. We excluded MEN and other hereditary syndromes in our patient with a personal and family history and with a normal pituitary hormone profile because of poor resources for genetic testing. She underwent parathyroid adenoma excision, and the postoperative period was complicated with hungry bone syndrome, requiring high doses of calcium and active vitamin D supplements. These supplements were gradually weaned off over 6 months, and she recovered with normal biochemical investigations. Histology revealed parathyroid adenoma without malignant features. In developing countries where routine calcium screening is not available, clinicians should be aware of various manifestations of primary hyperparathyroidism to allow diagnosis as soon as possible without delay to prevent further progression, as it is a treatable condition.
尽管骨骼仍是原发性甲状旁腺功能亢进症的常见靶点，但由于诊断较早，典型的骨病 "纤维囊性骨炎 "目前已很少见。本病例是原发性甲状旁腺功能亢进症因诊断延误和就医不及时而导致的严重典型骨病表现。一名19岁的年轻女性因慢性背痛和双手小关节的非特异性骨痛，由一名全科医生对症治疗了2个月。患者拖延了 3 个月才寻求治疗。后来，她因T12椎体骨折接受了椎弓根螺钉固定术，并被评估为肺结核、血液恶性肿瘤和风湿性疾病。然而，临床检查和生化、影像学和组织学等检查排除了上述病症。遗憾的是，最初就诊时并未检测血清钙水平。后来，根据中度高钙血症和升高的完整PTH水平（2064 pg/ml），诊断为原发性甲状旁腺功能亢进。她体内维生素 D 水平充足，肾功能正常。她的 DXA 扫描显示她患有严重的继发性骨质疏松症，腰椎总段的最低 Z 值为-8。甲状腺超声检查显示左下颌有一个低回声肿块，锝-99 m sestamibi和4D-CT定位检查显示左下甲状旁腺腺瘤（1.6 × 1.5 × 1.6厘米）。CT 扫描还发现下颌骨和椎骨有褐色肿瘤，头骨、胸骨、肱骨和椎骨有弥漫性骨质改变。她的X光片显示，中趾骨和远趾骨桡侧骨膜下骨吸收，尺骨和腓骨均有棕色肿瘤。由于基因检测资源匮乏，我们根据患者的个人和家族病史以及正常的垂体激素谱排除了MEN和其他遗传性综合征。她接受了甲状旁腺腺瘤切除术，术后并发了饿骨综合征，需要大剂量补充钙和活性维生素D。6个月后，她逐渐停用了这些补充剂，并恢复了正常的生化检查。组织学检查显示她患有甲状旁腺腺瘤，但无恶性特征。在没有常规钙筛查的发展中国家，临床医生应了解原发性甲状旁腺功能亢进症的各种表现，以便尽快确诊，防止病情进一步恶化，因为这是一种可以治疗的疾病。
{"title":"Unravelling a hidden pathology of a vertebral fracture in a teenage girl","authors":"Sharmika Sivageethan, Shahini Winson Gnanathayalan, Minuri Fernando, Uditha Bulugahapitiya","doi":"10.1186/s12902-024-01732-z","DOIUrl":"https://doi.org/10.1186/s12902-024-01732-z","url":null,"abstract":"Although the skeleton remains a common target of primary hyperparathyroidism, the classic bone disease “osteitis fibrosa cystica” is currently rare due to early diagnosis. This case represents severe classic bone manifestations of primary hyperparathyroidism due to delayed diagnosis and delayed medical attention. A 19-year-old young female was symptomatically managed for chronic back pain and nonspecific bone pain in the small joints of both hands over 2 months by a general practitioner. The patient had delayed seeking for treatment for 3 months. Later, she was evaluated for tuberculosis, hematological malignancies and rheumatic disorders following a fractured T12 vertebra and underwent pedicle screw fixation. However, clinical examination and investigations, including biochemistry, imaging and histology, ruled out the above conditions. Unfortunately, serum calcium level was not performed at the initial presentation. Later, primary hyperparathyroidism was diagnosed on the basis of moderate hypercalcaemia and elevated intact PTH levels (2064 pg/ml). She had sufficient vitamin D levels and normal kidney function. Her DXA scan revealed severe secondary osteoporosis with the lowest Z score of -8 at the total lumbar spine. Ultrasonography of the thyroid revealed a hypo echoic mass in the left lower neck, and localization studies with technetium-99 m sestamibi and 4D-CT revealed a left inferior parathyroid adenoma (1.6 × 1.5 × 1.6 cm). CT scan also revealed brown tumors in the mandible and vertebrae and diffuse bony changes in the skull, sternum, humerus and vertebrae. Her radiographs revealed subperiosteal bone resorption on the radial aspects of the middle and distal phalanges and brown tumors in both the ulna and fibula. We excluded MEN and other hereditary syndromes in our patient with a personal and family history and with a normal pituitary hormone profile because of poor resources for genetic testing. She underwent parathyroid adenoma excision, and the postoperative period was complicated with hungry bone syndrome, requiring high doses of calcium and active vitamin D supplements. These supplements were gradually weaned off over 6 months, and she recovered with normal biochemical investigations. Histology revealed parathyroid adenoma without malignant features. In developing countries where routine calcium screening is not available, clinicians should be aware of various manifestations of primary hyperparathyroidism to allow diagnosis as soon as possible without delay to prevent further progression, as it is a treatable condition.","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142261155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The systemic immunity-inflammation index (SII) is a newly developed biomarker that provides an integrated measure of inflammation in the body. We aim to evaluate the relationship between SII and body fat distribution. Adults from the National Health and Nutrition Examination Survey (NHANES) 2011–2018 were included. The SII was computed using lymphocyte (LC), neutrophil (NC), and platelet (PC) counts as its components. Body fat distribution was assessed by (total, android, gynoid) percentage fat, total abdominal fat area, subcutaneous adipose tissue area, visceral adipose tissue area, and the ratio of visceral to subcutaneous adipose tissue area (V/S ratio). Multivariable weighted linear regression and subgroup analysis were use to examine the relationships between fat distribution and SII. Restricted cubic splines (RCS) and threshold effect analysis were used to examine analyze nonlinear associations. After exclusions, a total of 11,192 adults with a weighted mean age of 38.46 ± 0.26 years were studied. In multivariable weighted linear regression, each level increase in log2SII was associated with increased of 0.23 SDs total percentage fat (95% CI = 0.03, 0.43) and 0.26 SDs android percentage fat (95% CI = 0.06, 0.47). Besides, the subgroup analysis showed that the positive association between SII and android percentage fat was mainly among obese individuals (BMI > 30 kg/m2) and non-obese individuals without DM or hypertension. Meanwhile, the relationship between SII and the V/S ratio was found to be significant in the female subgroup, the obese subgroup, individuals with non-alcoholic fatty liver disease (NAFLD), and those without diabetes mellitus. Finally, SII exhibited an inverted U-shaped relationship with total percentage fat, android percent fat and total abdominal fat. Accordingly, threshold effect analysis indicated a positive association between lower SII levels and total percentage fat, android percentage fat and total abdominal fat area. In the nationwide study, it was observed that the SII exhibited a significant correlation with higher levels of body fat, specifically android fat. This association was particularly noticeable within specific subgroups of the population.
{"title":"Systemic immunity-inflammation index is associated with body fat distribution among U.S. adults: evidence from national health and nutrition examination survey 2011–2018","authors":"Xue Liu, Yuhao Zhang, Yuchen Li, Yaodong Sang, Yuwei Chai, Li Zhang, Haiqing Zhang","doi":"10.1186/s12902-024-01725-y","DOIUrl":"https://doi.org/10.1186/s12902-024-01725-y","url":null,"abstract":"The systemic immunity-inflammation index (SII) is a newly developed biomarker that provides an integrated measure of inflammation in the body. We aim to evaluate the relationship between SII and body fat distribution. Adults from the National Health and Nutrition Examination Survey (NHANES) 2011–2018 were included. The SII was computed using lymphocyte (LC), neutrophil (NC), and platelet (PC) counts as its components. Body fat distribution was assessed by (total, android, gynoid) percentage fat, total abdominal fat area, subcutaneous adipose tissue area, visceral adipose tissue area, and the ratio of visceral to subcutaneous adipose tissue area (V/S ratio). Multivariable weighted linear regression and subgroup analysis were use to examine the relationships between fat distribution and SII. Restricted cubic splines (RCS) and threshold effect analysis were used to examine analyze nonlinear associations. After exclusions, a total of 11,192 adults with a weighted mean age of 38.46 ± 0.26 years were studied. In multivariable weighted linear regression, each level increase in log2SII was associated with increased of 0.23 SDs total percentage fat (95% CI = 0.03, 0.43) and 0.26 SDs android percentage fat (95% CI = 0.06, 0.47). Besides, the subgroup analysis showed that the positive association between SII and android percentage fat was mainly among obese individuals (BMI > 30 kg/m2) and non-obese individuals without DM or hypertension. Meanwhile, the relationship between SII and the V/S ratio was found to be significant in the female subgroup, the obese subgroup, individuals with non-alcoholic fatty liver disease (NAFLD), and those without diabetes mellitus. Finally, SII exhibited an inverted U-shaped relationship with total percentage fat, android percent fat and total abdominal fat. Accordingly, threshold effect analysis indicated a positive association between lower SII levels and total percentage fat, android percentage fat and total abdominal fat area. In the nationwide study, it was observed that the SII exhibited a significant correlation with higher levels of body fat, specifically android fat. This association was particularly noticeable within specific subgroups of the population.","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142261159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-18DOI: 10.1186/s12902-024-01718-x
Yuntong Liu, Haodong Jiang, Lan Luo, Zhengnan Gao
In recent times, a number of new indices for measuring visceral obesity have been developed. This research sought to investigate the relationship between four visceral obesity indices and prediabetes and diabetes. Conducted in 2011 as a cross-sectional analysis in Dalian, China, this study utilized logistic regression models to explore the relationships between four visceral obesity indices and prediabetes and diabetes. It also assessed the dose-response relationships using restricted cubic splines (RCS), performed subgroup analyses, and conducted interaction tests. The predictive values of four visceral obesity indices were evaluated using receiver operating characteristic (ROC) curves. The study enrolled 10,090 participants, with prediabetes and diabetes prevalence at 80.53%. Multifactorial logistic regression revealed positive relationships between the four visceral obesity indices and prediabetes and diabetes. The results of the RCS analysis revealed a linear relationship between the body roundness index (BRI), cardiometabolic index (CMI) and prediabetes and diabetes. Conversely, a non-linear relationship was observed between Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP) and prediabetes and diabetes. Subgroup analyses demonstrated stronger relationships of CMI, CVAI, and LAP with prediabetes and diabetes among females. ROC curves suggested that LAP could be an effective predictor of these conditions. This research confirmed that four visceral obesity indices are linked with a higher risk of prediabetes and diabetes in middle-aged and elderly individuals in Dalian. Importantly, LAP could be an effective predictor of prediabetes and diabetes. Effective weight management significantly reduces the risk of both prediabetes and diabetes.
{"title":"Relationship between four visceral obesity indices and prediabetes and diabetes: a cross-sectional study in Dalian, China","authors":"Yuntong Liu, Haodong Jiang, Lan Luo, Zhengnan Gao","doi":"10.1186/s12902-024-01718-x","DOIUrl":"https://doi.org/10.1186/s12902-024-01718-x","url":null,"abstract":"In recent times, a number of new indices for measuring visceral obesity have been developed. This research sought to investigate the relationship between four visceral obesity indices and prediabetes and diabetes. Conducted in 2011 as a cross-sectional analysis in Dalian, China, this study utilized logistic regression models to explore the relationships between four visceral obesity indices and prediabetes and diabetes. It also assessed the dose-response relationships using restricted cubic splines (RCS), performed subgroup analyses, and conducted interaction tests. The predictive values of four visceral obesity indices were evaluated using receiver operating characteristic (ROC) curves. The study enrolled 10,090 participants, with prediabetes and diabetes prevalence at 80.53%. Multifactorial logistic regression revealed positive relationships between the four visceral obesity indices and prediabetes and diabetes. The results of the RCS analysis revealed a linear relationship between the body roundness index (BRI), cardiometabolic index (CMI) and prediabetes and diabetes. Conversely, a non-linear relationship was observed between Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP) and prediabetes and diabetes. Subgroup analyses demonstrated stronger relationships of CMI, CVAI, and LAP with prediabetes and diabetes among females. ROC curves suggested that LAP could be an effective predictor of these conditions. This research confirmed that four visceral obesity indices are linked with a higher risk of prediabetes and diabetes in middle-aged and elderly individuals in Dalian. Importantly, LAP could be an effective predictor of prediabetes and diabetes. Effective weight management significantly reduces the risk of both prediabetes and diabetes.","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142261157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-18DOI: 10.1186/s12902-024-01719-w
Biting Zhao, Shuang Yang
Serum lipids are highly heritable and play an important role in cardiovascular and metabolic health. However, the relationship between high-density lipoprotein cholesterol (HDL-C) and serum 25-hydroxyvitamin D [25(OH)D] levels is unclear. This study aims to explore the association between serum 25(OH)D levels and HDL-C in adults aged 20–59. This cross-sectional study was based on data from the National Health and Nutrition Examination Survey (NHANES). Multivariable logistic regression was used to assess the relationship between HDL-C and serum 25(OH)D, with further analysis using smooth spline fitting and generalized additive models. A total of 28,084 adults were included in the study. After adjusting for multiple variables, we found a significant positive correlation between HDL-C and serum 25(OH)D levels (β = 8.3, 95% CI: 7.24–9.35, p < 0.001). Stratified subgroup analysis by gender showed that females consistently exhibited a positive correlation (β = 10.12, 95% CI: 9.07–11.18, p < 0.001), while males demonstrated an inverted U-shaped relationship between HDL-C and serum 25(OH)D. In the population aged 20–59, HDL-C levels are significantly associated with serum 25(OH)D levels. Clinically, simultaneous monitoring of HDL-C and vitamin D is recommended to better assess and manage cardiovascular health. Increasing vitamin D intake should be considered, especially for males with low HDL-C levels, to prevent related health issues.
{"title":"Exploring the unique association between high-density lipoprotein cholesterol and vitamin D deficiency in adults aged 20–59: findings based on the NHANES database","authors":"Biting Zhao, Shuang Yang","doi":"10.1186/s12902-024-01719-w","DOIUrl":"https://doi.org/10.1186/s12902-024-01719-w","url":null,"abstract":"Serum lipids are highly heritable and play an important role in cardiovascular and metabolic health. However, the relationship between high-density lipoprotein cholesterol (HDL-C) and serum 25-hydroxyvitamin D [25(OH)D] levels is unclear. This study aims to explore the association between serum 25(OH)D levels and HDL-C in adults aged 20–59. This cross-sectional study was based on data from the National Health and Nutrition Examination Survey (NHANES). Multivariable logistic regression was used to assess the relationship between HDL-C and serum 25(OH)D, with further analysis using smooth spline fitting and generalized additive models. A total of 28,084 adults were included in the study. After adjusting for multiple variables, we found a significant positive correlation between HDL-C and serum 25(OH)D levels (β = 8.3, 95% CI: 7.24–9.35, p < 0.001). Stratified subgroup analysis by gender showed that females consistently exhibited a positive correlation (β = 10.12, 95% CI: 9.07–11.18, p < 0.001), while males demonstrated an inverted U-shaped relationship between HDL-C and serum 25(OH)D. In the population aged 20–59, HDL-C levels are significantly associated with serum 25(OH)D levels. Clinically, simultaneous monitoring of HDL-C and vitamin D is recommended to better assess and manage cardiovascular health. Increasing vitamin D intake should be considered, especially for males with low HDL-C levels, to prevent related health issues.","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142261156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Patients with type 2 diabetes mellitus (T2D) have an increased risk of vascular complications. Despite the rise in the prevalence of T2D and its complications throughout the globe, there is a paucity of data regarding the prevalence and determinants of vascular complications of T2D in Ethiopia. Hence, this study aimed to assess the prevalence, patterns, and determinants of the microvascular and macrovascular complications of T2D among adult patients attending a teaching hospital in Addis Ababa, Ethiopia. A retrospective study was done by reviewing the electronic health records of adult patients with T2D attending the general medical and endocrine referral clinics of Yekatit 12 Hospital Medical College, Addis Ababa, Ethiopia, from June 1, 2023, to November 30, 2023. Statistical Package for Social Sciences (SPSS), version 25, was used to analyze the data. Descriptive analysis was used to summarize the sociodemographic, clinical, and laboratory profiles as well as the patterns of vascular complications of T2D. Bivariate and multivariate logistic regression models were fitted, and the crude odds ratio (COR) and adjusted odds ratio (AOR), together with the 95% confidence interval (CI), were computed to identify the determinants of microvascular and macrovascular complications of T2D. A total of 272 patients with T2D were included in this study; 50.5% were females, and the mean (± standard deviation) age was 56.3 ± 12.8 years. The majority of patients (62.5%) had diabetes for ≥ 5 years. More than half (51.5%) had poor glycemic control with glycated haemoglobin (HbA1c) value of ≥ 7%. The overall prevalence of vascular complications was 39%. The prevalence of microvascular complications was 23.5%, the most common being neuropathy (11.8%), and the prevalence of macrovascular complications was 21%, the most common being coronary artery disease (12.1%). The determinants of microvascular complications were age ≥ 60 years (AOR = 2.25, 95% CI: 1.17, 4.33), diabetes duration of ≥ 5 years (5–10 years [AOR = 3.13, 95% CI: 1.37, 7.18], and > 10 years [AOR = 3.88, 95% CI: 1.66, 9.06], and HbA1c value of ≥ 7% (AOR = 2.21, 95% CI: 1.14, 4.28). The odds of developing macrovascular complications were higher with diabetes duration of ≥ 5 to 10 years (AOR = 2.89, 95% CI: 1.37, 6.12) as compared with diabetes duration of < 5 years. This study demonstrated a high prevalence of microvascular and macrovascular complications in adult patients with T2D. Older age, prolonged duration of diabetes, and poor glycemic control were identified as the determinants for the development of microvascular complications of T2D, while prolonged duration of diabetes was the determining factor for the development of macrovascular complications. Hence, targeted initiatives are required to enhance the prevention and early detection of vascular complications of T2D in resource-limited countries like Ethiopia.
{"title":"Prevalence, patterns, and determinants of vascular complications of type 2 diabetes in a teaching hospital in Addis Ababa, Ethiopia: a retrospective study","authors":"Gashaw Solela, Henok A. Gessesse, Hailu Zegeye, Amare Worku, Beza Leulseged","doi":"10.1186/s12902-024-01731-0","DOIUrl":"https://doi.org/10.1186/s12902-024-01731-0","url":null,"abstract":"Patients with type 2 diabetes mellitus (T2D) have an increased risk of vascular complications. Despite the rise in the prevalence of T2D and its complications throughout the globe, there is a paucity of data regarding the prevalence and determinants of vascular complications of T2D in Ethiopia. Hence, this study aimed to assess the prevalence, patterns, and determinants of the microvascular and macrovascular complications of T2D among adult patients attending a teaching hospital in Addis Ababa, Ethiopia. A retrospective study was done by reviewing the electronic health records of adult patients with T2D attending the general medical and endocrine referral clinics of Yekatit 12 Hospital Medical College, Addis Ababa, Ethiopia, from June 1, 2023, to November 30, 2023. Statistical Package for Social Sciences (SPSS), version 25, was used to analyze the data. Descriptive analysis was used to summarize the sociodemographic, clinical, and laboratory profiles as well as the patterns of vascular complications of T2D. Bivariate and multivariate logistic regression models were fitted, and the crude odds ratio (COR) and adjusted odds ratio (AOR), together with the 95% confidence interval (CI), were computed to identify the determinants of microvascular and macrovascular complications of T2D. A total of 272 patients with T2D were included in this study; 50.5% were females, and the mean (± standard deviation) age was 56.3 ± 12.8 years. The majority of patients (62.5%) had diabetes for ≥ 5 years. More than half (51.5%) had poor glycemic control with glycated haemoglobin (HbA1c) value of ≥ 7%. The overall prevalence of vascular complications was 39%. The prevalence of microvascular complications was 23.5%, the most common being neuropathy (11.8%), and the prevalence of macrovascular complications was 21%, the most common being coronary artery disease (12.1%). The determinants of microvascular complications were age ≥ 60 years (AOR = 2.25, 95% CI: 1.17, 4.33), diabetes duration of ≥ 5 years (5–10 years [AOR = 3.13, 95% CI: 1.37, 7.18], and > 10 years [AOR = 3.88, 95% CI: 1.66, 9.06], and HbA1c value of ≥ 7% (AOR = 2.21, 95% CI: 1.14, 4.28). The odds of developing macrovascular complications were higher with diabetes duration of ≥ 5 to 10 years (AOR = 2.89, 95% CI: 1.37, 6.12) as compared with diabetes duration of < 5 years. This study demonstrated a high prevalence of microvascular and macrovascular complications in adult patients with T2D. Older age, prolonged duration of diabetes, and poor glycemic control were identified as the determinants for the development of microvascular complications of T2D, while prolonged duration of diabetes was the determining factor for the development of macrovascular complications. Hence, targeted initiatives are required to enhance the prevention and early detection of vascular complications of T2D in resource-limited countries like Ethiopia.","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142261158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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