BMC Endocrine Disorders最新文献

{"title":"Association of the inflammatory burden index with the risk of pre-diabetes and diabetes mellitus: a cross-sectional study.","authors":"Shuo Yu, Jiaxin Li, He Chen, Fuyu Xue, Siyi Wang, Meihui Tian, Hongfeng Wang, Haipeng Huang, Mengyuan Li","doi":"10.1186/s12902-025-01911-6","DOIUrl":"10.1186/s12902-025-01911-6","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to investigate the association between the Inflammatory Burden Index (IBI) and the prevalence of pre-diabetes (pre-DM) and diabetes mellitus (DM) in the U.S. population from 1999 to 2010. By analyzing relevant data collected during this period, the study seeks to understand IBI's role in the onset of pre-DM and DM and its potential implications for public health.</p><p><strong>Methods: </strong>A cross-sectional analysis was conducted using data from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2010. A total of 29,554 participants were included, with diabetes status determined by self-reported diagnoses and clinical indicators (such as glycosylated hemoglobin and fasting blood glucose). The Inflammatory Burden Index (IBI) was calculated using C-reactive protein (CRP) multiplied by the neutrophil-to-lymphocyte ratio. The generalized additive model (GAM) was employed to examine the relationship between increasing IBI and the incidence of pre-DM and DM.</p><p><strong>Result: </strong>The study included 29,554 participants, with 14,290 (48.4%) men and 15,264 (51.6%) women, and a mean age of 48.3 years (SD = 19.1). The findings revealed a significant association between IBI and the risk of pre-DM and DM. In the fully adjusted model, a stronger relationship was observed between pre-DM, DM, and IBI. The prevalence of pre-DM and DM was significantly higher in the fourth quartile (Q4) compared to the first quartile (Q1), with a 26% prevalence of pre-DM and an 18% prevalence of DM when IBI was greater than 1.04.</p><p><strong>Conclusion: </strong>Our study demonstrates a significant correlation between IBI and the risk of pre-DM and DM in the U.S.</p><p><strong>Population: </strong>Given these findings, we recommend that IBI be considered as a key indicator for the management and treatment of pre-DM and DM in clinical settings.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"82"},"PeriodicalIF":2.8,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11938584/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143718016","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}

{"title":"Predictor factors of uncontrolled diabetes.","authors":"Zahra Cheraghi, Amin Doosti-Irani, Parvin Cheraghi, Parham Mohammadi, Marzieh Otogara","doi":"10.1186/s12902-025-01906-3","DOIUrl":"10.1186/s12902-025-01906-3","url":null,"abstract":"<p><strong>Objective: </strong>The most significant challenge faced by individuals with diabetes is poor blood sugar control. The objective of this review is to identify the most crucial predictors of poor glycemic control among patients with diabetes.</p><p><strong>Materials: </strong>This review employed a comprehensive approach, utilizing all available analytical cross-sectional, case control and cohort studies to ascertain the pooled odds ratio/risk ratio of uncontrolled diabetes. The review encompassed articles from international databases, including Web of Science, PubMed, Scopus, and Google Scholar without restrictions on publication date or language. Data extraction was conducted until May 11, 2024, with statistical analyses performed using Stata 17 software, employing a random effects model at a 95% confidence level.</p><p><strong>Results: </strong>Out of 157,841 records, a total of 59 cross-sectional studies, 4 case-control studies, and 3 cohort studies were included, comprising 284,558 participants with a mean age of 53.78 years (SD = 6.33). There was no statistically significant association between the seven factors analyzed-age, gender, smoking status, education level, systolic blood pressure, diastolic blood pressure, and BMI. However, we observed a significant decrease in the likelihood of poor glycemic control with each unit increase in physical activity. Specifically, as physical activity levels increased, the likelihood of poor glycemic control decreased (adjusted OR 0.41; 95% CI: 0.24, 0.72; p-value = 0.02).</p><p><strong>Conclusion: </strong>Our systematic review and meta-analysis study showed that increased levels of physical activity in individuals with type 2 diabetes enhance the chances of achieving better glycemic control.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"84"},"PeriodicalIF":2.8,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11938783/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143717798","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}

{"title":"Hyperostosis frontalis interna and association of disease control with frontal bone thickness in acromegaly.","authors":"Ihsan Ayhan, Ömercan Topaloğlu, Taner Bayraktaroğlu","doi":"10.1186/s12902-025-01904-5","DOIUrl":"10.1186/s12902-025-01904-5","url":null,"abstract":"<p><strong>Purpose: </strong>Studies investigating hyperostosis frontalis interna (HFI) in acromegaly are limited. We aimed to investigate HFI and the association of disease control with frontal bone thickness (FBT) in acromegaly.</p><p><strong>Methods: </strong>Adult patients with acromegaly were grouped according to the presence of HFI on the baseline MRI: Group 1 absent, Group 2 present. We measured FBT, parietal bone thickness (PBT) and occipital bone thickness (OBT) in the mid-sagittal plane on MRI. The changes between first and last measurements were analyzed. We grouped the patients as controlled vs. uncontrolled acromegaly, and as established disease control for at least 5-year vs. 1-5-years.</p><p><strong>Results: </strong>Group 1/Group 2 comprised of 23/29 patients, female/male ratio was 34/18, and mean age 55.41(± 14.21) years. Median follow-up duration was 108 months (6-408). FBT^first (p = 0.001), FBT^last (p < 0.001), PBT^last (p = 0.025), and OBT^last (p = 0.028) were higher in Group 2 than in Group 1. FBT^change, PBT^change, and OBT^change were positive in Group 2 (p < 0.001, p = 0.008, and p = 0.008; respectively). The ratio of patients with FBT(increased) was higher in Group 2 than in Group 1 (p = 0.001). FBT^first, FBT^last, PBT^first, PBT^last, OBT^first, OBT^last, FBT^change, PBT^change and OBT^change were similar in controlled or uncontrolled acromegaly groups. FBT^change and OBT^change were positive in patients with disease control established for at least 5 years (n = 30) (p = 0.027 and p = 0.002, respectively).</p><p><strong>Conclusion: </strong>HFI was common in patients with acromegaly. HFI is associated with a continuous increase in FBT, PBT and OBT. HFI, bone thickness, or increase in bone thickness seems independent of disease activity. Since headaches can be related to an increase in bone thickness, patients should be evaluated and graded during baseline imaging.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"81"},"PeriodicalIF":2.8,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11938554/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143717854","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}

{"title":"Glycemic Comparison Index (GCI): a retrospective analysis of its prognostic value in ICU patients with AMI and diabetes.","authors":"Yingfang She, Chunfei Wang, Le Fu, Liang Luo, Yide Li","doi":"10.1186/s12902-025-01907-2","DOIUrl":"10.1186/s12902-025-01907-2","url":null,"abstract":"<p><strong>Background: </strong>Acute myocardial infarction (AMI) has a significant impact on global health, especially among individuals with diabetes, emphasizing the need for specialized glycemic management. This study examines the glycemic comparison index (GCI), a novel prognostic tool designed for patients with AMI and diabetes, aiming to enhance glucose management in critical care settings.</p><p><strong>Methods: </strong>This retrospective cohort analysis used data from the Medical Information Mart for Intensive Care IV database (version 2.2). The GCI was calculated by comparing mean blood glucose levels in the intensive care unit (ICU) to baseline glucose levels. Patients were stratified into tertiles based on their GCI scores. The primary outcome measured was one-year all-cause mortality, while secondary outcomes included hospital mortality, ICU-free days, and hypoglycemic events. Statistical analyses included time-dependent receiver operating characteristic (ROC), cox proportional hazards models, generalized linear models (GLM), and restricted cubic spline analysis.</p><p><strong>Results: </strong>The patient population comprised 622 individuals, with a mean age of 69.9 years and 64.6% male representation. The high GCI group exhibited the highest one-year mortality rate and fewer ICU-free days, while the low GCI group exhibited a higher incidence of hypoglycemia. Statistical analyses revealed that GCI was a significant predictor of one-year all-cause mortality (hazard ratio: 2.21, 95% confidence interval: 1.51-3.24). Analysis using time-dependent ROC confirmed the consistent predictive accuracy of GCI for survival at 1, 6, and 12 months (area under the curve: 0.671, 0.670, and 0.634, respectively). Furthermore, GLM analysis indicated that a higher GCI was associated with fewer ICU-free days.</p><p><strong>Conclusions: </strong>Higher GCI values are associated with increased one-year mortality and fewer ICU-free days in patients with AMI and diabetes. In comparison, lower GCI values are correlated with a higher risk of hypoglycemia. The GCI demonstrates potential as a personalized prognostic tool, although further validation is needed.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"85"},"PeriodicalIF":2.8,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11938553/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143717848","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}

{"title":"Strong association between atherogenic index of plasma and obesity in college students.","authors":"Zhi-Long Wang, Jiming Li, Chang-Hao Sun, Xin Yin, Xiao-Yu Zhi, Yi-Tian Liu, Ying-Ying Zheng, Ting-Ting Wu, Xiang Xie","doi":"10.1186/s12902-024-01807-x","DOIUrl":"10.1186/s12902-024-01807-x","url":null,"abstract":"<p><strong>Background: </strong>The issue of obesity is becoming more and more prominent. Understanding the metabolic profile of obese young adults and finding possible risk markers for early prediction and intervention is of great importance.</p><p><strong>Methods: </strong>A total of 13,082 college students with an average age of 20 years were enrolled in this cross-sectional study. The lipid composition was measured and novel lipid profiles such as AIP, AI, LCI, Non-HDL-C, TC/HDL-C, LDL-C/HDL-C and TyG were calculated. Participants were then assessed as normal weight, overweight or obese based on their BMI. Pearson correlation analysis, multivariate logistic analysis, and predictive analysis were used to assess the association and discriminative power between lipid profile and obesity.</p><p><strong>Results: </strong>The prevalence of obesity with dyslipidemia was 61.0% in males and 38.7% in females. Most obese patients were associated with only one dyslipidemia component, with the highest proportion having low HDL-C. We found a positive correlation between all lipid profiles except HDL-C and BMI. Multivariate logistics regression shows, AIP were strongly associated with obesity, which shows the largest OR = 12.86, 95%CI (9.46,17.48).</p><p><strong>Conclusions: </strong>In the youth population, higher AIP levels were positively and strongly associated with obesity. AIP may be a novel and better risk biomarker for predicting obesity.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"80"},"PeriodicalIF":2.8,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11938727/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143708424","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}

{"title":"Predictive modeling of graves' orbitopathy activity based on meibomian glands analysis using in vivo confocal microscopy.","authors":"Zixuan Su, Yayan You, Shengnan Cheng, Jiahui Huang, Xueqing Liang, Xinghua Wang, Fagang Jiang","doi":"10.1186/s12902-025-01895-3","DOIUrl":"10.1186/s12902-025-01895-3","url":null,"abstract":"<p><strong>Objectives: </strong>This study aims to identify indicators of disease activity in patients with graves' orbitopathy (GO) by examining the microstructural characteristics of meibomian glands (MGs) and developed a diagnostic model.</p><p><strong>Methods: </strong>We employed in vivo confocal microscopy (IVCM) to examine MGs in GO patients. Patients classified in the active phase were determined based on the clinical activity score (CAS). The research employed the least absolute shrinkage and selection operator (LASSO) method to select key indicators. Subsequently, a logistic regression model was constructed to predict GO disease activity.</p><p><strong>Results: </strong>A total of 45 GO patients, corresponding to 90 eyes, were included in this study. A Lasso regression algorithm was utilized to select the predictor variables. Five predictor variables were included in our diagnostic model ultimately. The area under the curve (AUC) for the training set model reached 0.959, and for the validation set was 0.969. The training set and validation set models both demonstrated high accuracy in calibration. Finally, a Nomogram chart was constructed to visualize the diagnostic model.</p><p><strong>Conclusion: </strong>We constructed a diagnostic model based on microstructural indicators of MGs obtained through IVCM and offered a clinical utility for assessing GO disease activity, aiding in the diagnosis and selection of treatment strategies for GO.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"83"},"PeriodicalIF":2.8,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11938666/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143717791","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}

{"title":"Wilson disease combined with polycystic ovary syndrome-clinical features, treatment, and outcome in Chinese patients.","authors":"Lin Chen, Ming-Juan Fang, Liang-Liang Zhang, Yong-Feng Liu, Yong-Zhu Han, Xu-En Yu, Yin Xu","doi":"10.1186/s12902-025-01899-z","DOIUrl":"10.1186/s12902-025-01899-z","url":null,"abstract":"<p><strong>Objective: </strong>We aimed to analyze the clinical features, treatment, and prognosis of Wilson disease (WD) combined with polycystic ovary syndrome (PCOS), and to explore the correlation between endocrine abnormalities and liver damage.</p><p><strong>Patients and methods: </strong>The clinical data of 40 female patients of WD combined with PCOS (PCOS-WD) were retrospectively analyzed. 43 age- and BMI-matched patients of PCOS with non-WD (PCOS-NWD) were performed as the control group. The patients of PCOS-WD were assigned to adolescent group (n = 18) and reproductive age group (n = 22) according to the age onset of PCOS, and also assigned to normal testosterone group (n = 18) and elevated testosterone group (n = 22) according to the testosterone level. The clinical features, laboratory tests, imaging examinations, treatment, and outcome of all patients were analyzed, and correlation analysis was processed between gonadal hormone and liver damage parameters.</p><p><strong>Results: </strong>The testosterone level was significantly higher in the PCOS-NWD than in the PCOS-WD patients (Z=-2.306, P = 0.021). The clinical hyperandrogenism was significantly more prevalent in adolescent group within PCOS-WD patients (P = 0.025), while the serum alanine aminotransferase was significantly higher in reproductive age group (Z=-2.572, P = 0.010). The hepatic fibrosis index was significantly higher in elevated testosterone group than in normal testosterone group (Z = -2.190, P = 0.029), while the progesterone level was lower in elevated testosterone group (Z = 2.394, P = 0.017). The testosterone level was positively correlated with the hepatic fibrosis index (P = 0.039, R = 0.328). In followed-up observations, no significant difference was found in menstrual cycle and pregnancy outcomes between progesterone combined with copper chelation therapy and copper chelation therapy alone.</p><p><strong>Conclusion: </strong>PCOS is an important endocrine comorbidity of female WD patients. The extent of liver damage in WD patients may be related to the hormonal imbalance of PCOS. The study recommends routine screening for PCOS in adolescent WD patients. Testosterone levels may serve as a valuable reference for informing treatment decisions. Copper chelation therapy with or without progesterone is beneficial to the recovery of patients with PCOS-WD.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"78"},"PeriodicalIF":2.8,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11931747/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143691113","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}

{"title":"Menstrual disorder is associated with blood type in PCOS patients: evidence from a cross-sectional survey.","authors":"Shuhan Yang, Hua Zhang, Li Shi, Yang Yang, Yonghao Lu, Weiyu Qiu, Ii Fukuzawa, Lifei Zhou, Xiyan Xin, Ning Ding, Liyan Luo, Wei Wang, Haolin Zhang","doi":"10.1186/s12902-025-01898-0","DOIUrl":"10.1186/s12902-025-01898-0","url":null,"abstract":"<p><strong>Background: </strong>Previous studies have shown a correlation between ABO blood type and the occurrence of certain diseases. However, there is limited research on the potential association between ABO blood group and polycystic ovary syndrome (PCOS). This study aims to investigate the potential connection between ABO blood type and the regularity of menstrual cycles, menstrual bleeding level, and additional metabolic indicators among individuals diagnosed with PCOS.</p><p><strong>Methods: </strong>This cross-sectional study involved 312 PCOS patients and 133 healthy controls whose menstruation and blood type were investigated by questionnaires. Their blood lipid content and hormone levels were also measured. We assessed the association between ABO blood type distribution in different groups and the occurrence of menstrual conditions in PCOS patients.</p><p><strong>Results: </strong>445 women participated in the study. There was a statistically significant difference in ABO blood type distribution among PCOS patients with varying menstrual levels (P = 0.036). Compared with other blood type groups, PCOS patients with blood type O exhibited statistically significant differences in BMI (P = 0.033), E2 levels (P < 0.001), LH levels (P = 0.022), and FSH levels (P < 0.001), and showed a higher tendency towards greater menstrual bleeding.</p><p><strong>Conclusion: </strong>There exists a correlation between ABO blood type and menstrual bleeding level among PCOS patients. In particular, individuals with blood type O display a heightened likelihood of experiencing greater menstrual bleeding with more favorable endocrine status compared to non-O blood types in the population.</p><p><strong>Clinical trial registration: </strong>ClinicalTrials.gov NCT04264832 ( https://clinicaltrials.gov ). Registered on February 7, 2020.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"77"},"PeriodicalIF":2.8,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11931743/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143691027","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}

{"title":"Causal associations between gut microbiota and type 2 diabetes mellitus subtypes: a mendelian randomization analysis.","authors":"Zhichao Ruan, Jiangteng Liu, Jinxi Zhao","doi":"10.1186/s12902-025-01863-x","DOIUrl":"10.1186/s12902-025-01863-x","url":null,"abstract":"<p><strong>Purpose: </strong>To investigate the causal relationships between gut microbiota and novel adult-onset type 2 diabetes mellitus(T2DM) subtypes.</p><p><strong>Methods: </strong>We conducted Mendelian randomization (MR) analyses using genome-wide association data from European populations. Initial MR analyses examined associations between gut microbiota and four T2DM subtypes, followed by validation analyses using type 1 diabetes mellitus(T1DM) and T2DM GWAS data. We also performed bidirectional MR analyses and tested for heterogeneity and pleiotropy across all analyses.</p><p><strong>Results: </strong>Our MR analyses revealed distinctive associations between gut microbiota and T2DM subtypes: six bacterial taxa with severe insulin-deficient diabetes (SIDD), four with severe insulin-resistant diabetes (SIRD), eight with mild obesity-related diabetes (MOD), and eight with mild age-related diabetes (MARD). These associations were distinct from T1DM findings. Six bacterial taxa were validated in T2DM analyses, with four showing directionally consistent effects: Class Clostridia (OR = 0.57, P = 0.045) and Order Clostridiales (OR = 0.57, P = 0.045) were associated with reduced MOD risk, while species Catus (OR = 1.80, P = 0.007) was associated with increased MOD risk, and genus Holdemania (OR = 2.51, P = 0.004) was associated with increased SIRD risk. No significant heterogeneity or pleiotropy was observed across analyses.</p><p><strong>Conclusions: </strong>Our MR analyses reveal novel causal relationships between gut microbiota and adult-onset T2DM subtypes, though further validation studies are warranted.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"79"},"PeriodicalIF":2.8,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11931760/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143691097","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}

{"title":"Factors influencing the severity of diabetic foot ulcers: a cross-sectional study.","authors":"Rickson Bahati, Daniel Kitua, Leonard Selestine, Ally Mwanga, Miriam Urio, Godfrey Mchele, David Antanamsu","doi":"10.1186/s12902-024-01785-0","DOIUrl":"10.1186/s12902-024-01785-0","url":null,"abstract":"<p><strong>Background: </strong>Diabetic foot ulcers (DFUs) are prevalent among individuals with poorly controlled diabetes, and severe cases can result in increased morbidity and a poor quality of life. This study aimed to identify the factors that affect the severity of DFUs, offering insights into potential interventions that could enhance patient outcomes.</p><p><strong>Methodology: </strong>A prospective cross-sectional study was conducted from August 2023 to March 2024 at Muhimbili National Hospital in Tanzania, involving 177 consecutively selected patients with DFUs. The primary outcome variable was the severity of DFUs, which was assessed using the Meggitt-Wagner severity score. Both socio-demographic and clinical characteristics were evaluated to determine their association with the outcome variable using multivariate ordinal logistic regression analysis.</p><p><strong>Results: </strong>The median age of the study participants was 60 years (IQR = 52-68), with a male-to-female ratio of 2 to 1. Notably, Wagner grades 4 and 5 accounted for 57.6% of the participants. Factors associated with increased severity of DFUs included age over 60 years (aOR = 1.83, 95% CI 1.05-3.23, p = 0.035) and poor adherence to diabetes medications (aOR = 2.62, 95% CI 1.36-5.09, p = 0.004). Conversely, having health insurance coverage was linked to better outcomes (aOR = 0.51, 95% CI 0.27-0.96, p = 0.036).</p><p><strong>Conclusion: </strong>The study highlights factors that can enhance comprehensive care for diabetic patients, especially elderly individuals. Key measures include implementing educational programs to encourage medication adherence, improving healthcare access, particularly for uninsured individuals, promoting insurance coverage, and making diabetes treatments more affordable.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":"25 1","pages":"76"},"PeriodicalIF":2.8,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11924770/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143662436","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}