BMC Endocrine Disorders最新文献

{"title":"Serum anti-Müllerian hormone levels in women following bariatric surgery: insights from a systematic review and meta-analysis.","authors":"Mohammad Sharifi, Mohammad Jalaeian Dehghani, Mohammad Amin Karimi, Ali Jafari","doi":"10.1186/s12902-026-02394-9","DOIUrl":"10.1186/s12902-026-02394-9","url":null,"abstract":"<p><strong>Aim: </strong>This systematic review and meta-analysis aimed to evaluate the effects of bariatric surgery on serum anti-Müllerian hormone (AMH) levels in women, highlighting potential implications for ovarian reserve and fertility management.</p><p><strong>Methods: </strong>A systematic literature search was conducted in PubMed, Web of Science, Scopus, and Embase databases up to February 2025. The included studies were observational in design (cohort, case-control, cross-sectional) and provided quantitative pre- and post-operative AMH data. Quality assessment was performed using the Newcastle-Ottawa Scale, and data were analyzed using a random-effects meta-analysis.</p><p><strong>Results: </strong>A total of 14 studies were included in the systematic review, with 591 participants contributing to the quantitative meta-analysis. The pooled results indicated that bariatric surgery did not significantly alter AMH levels overall (WMD = 0.05 ng/mL; 95% CI: -0.66, 0.75; p = 0.897), with substantial heterogeneity among effect estimates (I² = 93.9%, p < 0.001). Subgroup analyses suggested significant AMH reductions in studies with baseline AMH > 3 ng/mL, upper age limit ≤ 35 years, longer follow-up, retrospective design, smaller sample size, and South Asian populations, while a significant increase was observed in the fertile subgroup.</p><p><strong>Conclusions: </strong>Bariatric surgery was not associated with a significant overall change in serum AMH levels. Findings suggest variable AMH responses across clinical and methodological contexts; however, given substantial heterogeneity and limited reproductive outcome data, these changes should be interpreted as dynamic endocrine biomarker responses rather than direct evidence of altered ovarian reserve or fertility potential.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13621544/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148387409","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":"Prevalence of food addiction and its association with ghrelin and metabolic parameters in patients with type 1 diabetes mellitus: a cross-sectional study.","authors":"Muhammet Fatih Şahin, Sinem Kiyici, Deniz Sigirli, Said Karaca","doi":"10.1186/s12902-026-02401-z","DOIUrl":"10.1186/s12902-026-02401-z","url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to determine the prevalence of food addiction (FA) in adults with type 1 diabetes mellitus (T1DM) and examine its associations with serum ghrelin levels and metabolic control parameters.</p><p><strong>Methods: </strong>The study included 160 patients with a median age of 32.0 years (range: 19.0-60.0), of whom 51.3% (n = 82) were female. After recording anthropometric measurements, sociodemographic data, medical histories, and detailed physical examinations were obtained. Following an 8-hour fasting period, venous blood samples were collected to measure serum ghrelin levels and biochemical parameters. Serum ghrelin levels were assessed using the ELISA method. FA was evaluated using the modified Yale Food Addiction Scale 2.0 (mYFAS 2.0).</p><p><strong>Results: </strong>FA prevalence was 25.6% (n = 41). The FA group had higher median BMI (p = 0.047), while monthly income, diabetes duration, and insulin pump use were lower (p = 0.025, p = 0.009, and p = 0.046, respectively). Age, gender, education, and metabolic control indicators (HbA1c, lipids) were similar between groups. Serum ghrelin levels did not differ based on FA status. However, ghrelin showed modest negative correlations with BMI (r=-0.171; p = 0.030), waist circumference (r=-0.256; p = 0.001), and triglycerides (r=-0.168; p = 0.033).</p><p><strong>Conclusion: </strong>Our findings indicate that the prevalence of FA is observed at considerable rates among patients with T1DM. Although no significant differences were observed in metabolic control parameters between patients with and without FA, the FA group exhibited a modestly higher BMI, suggesting a potential association between addiction-like eating behavior and adiposity in adults with T1DM.</p><p><strong>Clinical trial registration: </strong>Not applicable.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13621618/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148381623","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":"Machine learning-assisted prediction of obstructive sleep apnea in patients with metabolic dysfunction-associated steatotic liver disease: a multicenter study with external validation.","authors":"Qihang Gao, Yahui Wu, Ke Lei, Tie Zhao, Yixiang Xing, Min Kang, Yun Shen","doi":"10.1186/s12902-026-02391-y","DOIUrl":"10.1186/s12902-026-02391-y","url":null,"abstract":"<p><strong>Background: </strong>Metabolic dysfunction-associated steatotic liver disease (MASLD) is closely associated with obstructive sleep apnea (OSA) through shared metabolic and inflammatory mechanisms. Early identification of high-risk individuals remains challenging, highlighting the need for reliable predictive tools.</p><p><strong>Methods: </strong>This retrospective multicenter study included patients with MASLD from two tertiary hospitals in China. Least absolute shrinkage and selection operator (LASSO) regression combined with multivariate logistic regression was used for feature selection. Seven predictive models were constructed and compared, including logistic regression, decision tree, random forest, support vector machine, artificial neural network, XGBoost, and LightGBM. A nomogram was subsequently developed for individualized risk visualization.</p><p><strong>Results: </strong>A total of 310 patients from the Affiliated Heping Hospital of Changzhi Medical College were included as the development cohort, while 200 patients from Tongling People's Hospital served as the external validation cohort. LASSO regression initially identified multiple candidate predictors, and eight overlapping variables retained by both LASSO and multivariate analysis were ultimately selected, including sex, BMI, hypertension, T2DM, ALT, GGT, NLR, and TyG Index. Among the seven predictive algorithms, the logistic regression model demonstrated the most balanced performance in terms of discrimination, interpretability, calibration, and external stability. Decision curve analysis further confirmed favorable clinical utility across both cohorts.</p><p><strong>Conclusion: </strong>The proposed logistic regression model provides an interpretable and clinically practical tool for early prediction of OSA risk in patients with MASLD.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13621657/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148381618","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":"MCD biomarkers Egfr, Hmox1, Lgmn identified in NAFLD.","authors":"Kai-Yang Li, Jie Zhou, Mei Yang, Qing Zhang, Yi-Ming Zhao","doi":"10.1186/s12902-026-02354-3","DOIUrl":"10.1186/s12902-026-02354-3","url":null,"abstract":"<p><strong>Background: </strong>Non-alcoholic fatty liver disease (NAFLD) is associated with metabolic cell death (MCD), and this study aimed to dig deeper into the biomarkers associated with MCD in NAFLD, and to provide new references for the diagnosis and treatment of NAFLD.</p><p><strong>Methods: </strong>The datasets and MCD-related genes (MCD-RGs) associated with NAFLD were downloaded from the Gene Expression Omnibus (GEO) database and the literature, respectively. Differentially expressed genes (DEGs) between NAFLD and control groups were identified and intersected with MCD-RGs to yield candidate genes. Biomarkers were obtained by screening under four machine learning models, Receiver Operating Characteristic (ROC) curves, and expression validation. Based on the biomarkers, functional enrichment, diagnostic model construction, network modulation, and reverse transcription-quantitative polymerase chain reaction (RT-qPCR) were performed. At the same time, differential infiltration of immune cells in the NAFLD and control groups was analysed.</p><p><strong>Results: </strong>The 17 candidate genes were mostly involved in processes such as immunity and apoptosis. After screening, Egfr, Hmox1, and Lgmn were identified as biomarkers. Among these, Egfr was down-regulated whereas Hmox1 and Lgmn were up-regulated in NAFLD. Based on these biomarkers, a nomogram diagnostic model was constructed and demonstrated excellent predictive performance (AUC = 0.997). Subsequent enrichment analyses showed enrichment in inflammatory regulation between biomarkers and NAFLD groups. In addition, in the TF-biomarker network, Egfr and Hmox1 co-predicted NF-κB1. SORAFENIB was co-predicted in drug prediction. Meanwhile, five differentially infiltrating immune cells, such as CD8 T cells, were found to be strongly negatively correlated (cor = -0.475) with Egfr in both the NAFLD and control groups.</p><p><strong>Conclusion: </strong>In this study, Egfr, Hmox1, and Lgmn were used as biomarkers showing transcriptomic correlation with with MCD in NAFLD, and an excellent nomogram diagnostic model was developed accordingly, which is expected to provide a practical tool for diagnosis and treatment of NAFLD.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13621739/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148374437","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":"Prognostic factors and prognostic risk score of 30-day all-cause mortality in thyroid storm.","authors":"Pakpoom Chantrapitak, Worapaka Manosroi, Sittikul Thipbumrung, Pichitchai Atthakomol","doi":"10.1186/s12902-026-02348-1","DOIUrl":"10.1186/s12902-026-02348-1","url":null,"abstract":"<p><strong>Background: </strong>Thyroid storm is a life-threatening endocrine emergency with high mortality. Existing diagnostic score primarily focuses on diagnosis rather than predicting outcomes. This study aimed to identify prognostic factors and develop a practical clinical prognostic score for 30-day all-cause mortality in patients with thyroid storm.</p><p><strong>Methods: </strong>A retrospective cohort study was conducted at a tertiary care center in Thailand. Patients diagnosed with thyroid storm were included. To identify prognostic factors of 30-day all-cause mortality, clinical and biochemical variables were analyzed using multivariable logistic regression analysis presented with odds ratio (OR). A prognostic risk score was developed and internally validated using bootstrapping. Statistical significance p-value was set at < 0.05.</p><p><strong>Results: </strong>A total of 115 patients were included, with a 30-day mortality rate of 13%. Significant prognostic factors of 30-day mortality included male sex (OR 4.34), hypertension (OR 2.54), SOFA score ≥ 2 (OR 9.93), and GCS ≤ 10 (OR 1.95). Based on these four variables, a weighted scoring system (total 8 points) was developed. The model demonstrated good discriminatory performance with an apparent AUC of 0.81, which remained robust at 0.79 (95% CI 0.69-0.91) after internal validation via bootstrapping.</p><p><strong>Conclusion: </strong>The prognostic factors and proposed clinical prognostic score, incorporating simple and readily available parameters, provides an effective tool for early risk stratification in thyroid storm. This score can facilitate prioritized intensive care admission. Further external validation is warranted to confirm its generalizability across diverse clinical settings.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13621474/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148374357","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":"Impact of growth hormone preparation switching on treatment outcomes in children with growth hormone deficiency: a retrospective real-world cohort study.","authors":"Duygu Deligozoglu, Irem Gokdemir, Can Alp Genc, Gonul Buyukyilmaz, Sirmen Kizilcan Cetin, Emregul Işik, Hande Nur Sengil, Derya Tepe, Pinar Kocaay, Mehmet Boyraz, Fatih Gurbuz","doi":"10.1186/s12902-026-02395-8","DOIUrl":"10.1186/s12902-026-02395-8","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Switching between recombinant human growth hormone (rhGH) preparations has become increasingly common in pediatric practice because of reimbursement policies, product availability, and patient preferences. However, concerns persist regarding potential effects on growth outcomes and biochemical responses in real-world settings. This study aimed to evaluate whether switching growth hormone (GH) preparations is associated with differences in growth and biochemical outcomes compared with continuing the same product in children with growth hormone deficiency (GHD).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;This single-center retrospective cohort study included 130 children with GHD receiving GH therapy between 2019 and 2024: 66 who underwent a single switch between preparations and 64 who continued the same product. Annualized changes in height standard deviation score (SDS), height velocity, insulin-like growth factor-1 (IGF-1) SDS, and insulin-like growth factor binding protein-3 (IGFBP-3) SDS were assessed over predefined 12-month observation windows. Patients were additionally stratified according to GHD severity, defined by a peak GH response &lt; 7 ng/mL (severe/complete GHD) or 7-10 ng/mL (partial/borderline GHD). Within-group comparisons were performed using Wilcoxon signed-rank or Friedman tests, and between-group comparisons were performed using Mann-Whitney U tests or chi-square tests, as appropriate. Multivariate linear regression analyses adjusted for age, pubertal status, GH dose, baseline height SDS, and GHD severity.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Baseline demographic, auxological, and perinatal characteristics were similar between the groups. In both cohorts, height SDS, IGF-1 SDS, and IGFBP-3 SDS improved significantly during follow-up, whereas GH dose remained stable. When outcomes were compared during equivalent treatment intervals, no significant differences were observed between the switch and nonswitch groups in height velocity (8.72 ± 2.64 vs. 8.42 ± 1.62 cm/year; p = 0.108), ΔHeight SDS (0.53 ± 0.51 vs. 0.39 ± 0.37; p = 0.206), ΔIGF-1 SDS (0.82 ± 0.69 vs. 0.71 ± 0.54; p = 0.486), or ΔIGFBP-3 SDS (0.86 ± 0.90 vs. 0.64 ± 0.45; p = 0.283). Similar findings were observed in patients with severe GHD (peak GH &lt; 7 ng/mL). Multivariate regression analysis identified baseline height SDS and GH dose as independent predictors of 12-month height SDS change, whereas switch status and GHD severity were not independently associated with growth response.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;Switching between rhGH preparations was not associated with impaired growth or adverse biochemical outcomes in children with GHD. Growth and biochemical responses were comparable between switched and nonswitched patients during equivalent treatment intervals, including among patients with severe GHD. These findings support the clinical feasibility of switching between daily rhGH preparations when required because of reimbursement policie","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13595697/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148366675","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":"Barriers to glycemic control among youth with diabetes in Ghana: a mixed-methods cross-sectional study.","authors":"Serwah Bonsu Asafo-Agyei, Emmanuel Ameyaw, Samuel Blay Nguah, Sandra Kwarteng Owusu, Laila Matogah Adutwum, Mary Agyeiwaah Effah Bioh, Elizabeth Owusu, Priscilla Aseye Fugah","doi":"10.1186/s12902-026-02397-6","DOIUrl":"10.1186/s12902-026-02397-6","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Diabetes mellitus in children, adolescents and young adults presents major clinical, social, and psychological challenges, particularly in low- and middle-income settings. Despite donor-supported access to free insulin and self-management supplies, many youths continue to have poor glycemic control. This study assessed barriers to glycemic control among Ghanaian youth with Type 1 and Type 2 diabetes, focusing on sociodemographic factors, institutional and family support, and stigma.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A convergent cross-sectional mixed-methods study was conducted among 161 participants under 30 years attending a pediatric and adolescent endocrine clinic in Ghana between July and December 2025. Quantitative and qualitative data were collected concurrently through structured interviews containing closed-ended and open-ended questions. Quantitative data assessed socioeconomic barriers, institutional support, stigma, and disclosure patterns, while qualitative data explored participants' experiences and perceptions of diabetes-related stigma. Clinical data, including diabetes type and HbA1c measured using an Abbott Afinion™ 2 point-of-care analyzer, were extracted from medical records. Quantitative data were analyzed descriptively and using ordinal logistic regression, while qualitative responses were analyzed thematically. Findings were integrated during interpretation using the socioecological framework.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Most participants were adolescents or young adults (88.8%), and 81% had Type 1 diabetes. Glycemic control was poor (mean HbA1c 9.97% ± 2.5%), with 85% of participants having HbA1c above 7.5%. Although most participants had access to free insulin, 30% reported difficulty affording transportation to clinic visits, and 24% experienced food insecurity. Institutional support was limited, with only 15.4% having access to a health professional and 25% to a school/work health facility. Stigma was widespread, with 72% perceiving diabetes as stigmatized in their communities. Qualitative findings highlighted fear of disclosure, social exclusion, and misconceptions such as diabetes being contagious or spiritually caused, which contributed to concealment and avoidance of social activities (reported by 43%). Only 28% of participants had disclosed their diagnosis beyond close family and friends. Socioeconomic status was the most consistent predictor of glycemic control, with higher status associated with lower odds of poor control. Integration of quantitative and qualitative findings demonstrated that socioeconomic disadvantage, institutional limitations, and stigma jointly impacted diabetes self-management behaviors.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;Beyond insulin access, Ghanaian youth with diabetes face significant socioeconomic and psychosocial barriers. Improving outcomes requires integrated interventions, including targeted financial support, strengthened institutional care, and ","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13595700/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148366728","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":"Development and validation of a risk models for gout in patients with diabetic kidney disease.","authors":"Ningyu Cai, Mengdie Chen, Yiyun Wang, Ping Feng, Xianping Zhu, Qidong Zheng","doi":"10.1186/s12902-026-02389-6","DOIUrl":"10.1186/s12902-026-02389-6","url":null,"abstract":"<p><strong>Background: </strong>Patients with diabetic kidney disease (DKD) exhibit a markedly elevated risk of developing gout. The coexistence of these conditions severely compromises health. Consequently, risk for gout necessitates evaluation within this patient cohort. This study aimed to identify risk factoes of gout among DKD patients and to establish and validate a clinically usable nomogram for estimating individual gout risk.</p><p><strong>Methods: </strong>A two-center, retrospective analysis enrolling DKD patients managed at the Metabolic Management Centers of Taizhou Central Hospital and Yuhuan Second People's Hospital between September 2017 and February 2025 was conducted. Key risk factors were selected using an integrated approach combining Best Subset Regression and Least Absolute Shrinkage and Selection Operator analysis, followed by multivariate logistic regression to identify independent correlates of gout. A risk nomogram was then generated. Model performance was assessed using Area Under the Receiver Operating Characteristic Curve (AUC) values, calibration plots, Hosmer-Lemeshow goodness-of-fit tests, and a decision curve analysis (DCA) approach.</p><p><strong>Results: </strong>Overall, 5,670 DKD patients were analyzed. Of these, 4,617 participants from Yuhuan Second People's Hospital were divided into training and internal validation cohorts, while 1,088 patients from Taizhou Central Hospital formed an external validation cohort. Variables incorporated into the final model included sex, body mass index, fasting C-peptide, estimated glomerular filtration rate, and serum urate. The nomogram displayed strong discrimination with respective AUCs of 0.784, 0.782, and 0.770 in the training, internal validation, and external validation cohorts. Calibration plots showed close alignment between predicted and observed outcomes (Hosmer-Lemeshow p-values 0.769, 0.332, and 0.520 for the respective cohorts). DCA demonstrated net benefits across various threshold probabilities deemed clinically useful.</p><p><strong>Conclusions: </strong>The prognostic nomogram developed in validated in this study has been specifically tailored to estimate gout risk in DKD. The tool can help clinicians identify high-risk individuals and implement early, targeted preventive strategies.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13591689/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148359422","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":"Association of glycemic variability with 28-day mortality and adverse outcomes among non-diabetes patients after cardiac surgery with cardiopulmonary bypass: a retrospective analysis on the MIMIC-IV database.","authors":"Shanshan Wang, Lina Lin, Shuang Jin, Lili Chen, Xiufang Huang, Xiuxia Lin, Na Li","doi":"10.1186/s12902-026-02373-0","DOIUrl":"10.1186/s12902-026-02373-0","url":null,"abstract":"<p><strong>Objectives: </strong>To analyze postoperative glycemic variability (GV) patterns in non-diabetic patients undergoing cardiac surgery with cardiopulmonary bypass (CPB), and determine the association between various GV metrics and adverse outcomes, including 28-day mortality.</p><p><strong>Methods: </strong>A retrospective cohort study utilized data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, including 2,940 non-diabetic patients who underwent cardiac surgery with CPB. GV was quantified by mean blood glucose (MBG), largest amplitude of glycemic excursion (LAGE), standard deviation of blood glucose (SDBG), coefficient of variation (CV), and mean amplitude of glycemic excursions (MAGE). Cox proportional hazards models were used to determine the relationship between GV indices and clinical outcomes. The restricted cubic spline (RCS) analysis examined non-linear associations, while receiver operating characteristic (ROC) curves were used to assess predictive accuracy for 28-day mortality.</p><p><strong>Results: </strong>Abnormal MBG levels (hypoglycemia and hyperglycemia) and elevated GV metrics (LAGE, SDBG, CV, MAGE) were significantly linked to adverse clinical outcomes (P < 0.05). Results of Cox regression analysis demonstrated that LAGE and CV could strongly predict 28-day mortality compared to MBG, SDBG, and MAGE. RCS analysis revealed non-linear associations, with MBG exhibiting a U-shaped relationship. ROC analysis confirmed a superior predictive accuracy for LAGE (AUC = 0.845) and CV (AUC = 0.817) compared with other metrics (P < 0.05).</p><p><strong>Conclusions: </strong>Postoperative GV is an independent risk factor for 28-day mortality in non-diabetic CPB patients. LAGE and CV outperformed other GV indices in mortality prediction, highlighting the prognostic value of GV monitoring.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13591748/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148350944","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":"Association of metabolic syndrome and its components with systemic lupus erythematosus.","authors":"Zahra Bagheri-Hosseinabadi, Sahar Sadat Pourmirafzali, Mehdi Kafi, Mohammad Amin Lotfi, Mitra Abbasifard","doi":"10.1186/s12902-026-02387-8","DOIUrl":"10.1186/s12902-026-02387-8","url":null,"abstract":"<p><strong>Background: </strong>Systemic lupus erythematosus (SLE) patients might manifest an increased prevalence of Metabolic syndrome (MetS) components like insulin resistance, obesity, and dyslipidemia. Here we aimed to assess the interconnection between MetS components and SLE and attempted to divulge the potential contribution of MetS on SLE development.</p><p><strong>Methods: </strong>We enrolled 200 cases with SLE whose diagnosis was accomplished by American College of Rheumatology (ACR) criteria. MetS diagnosed was accomplished through the International Diabetes Federation (IDF) criteria.</p><p><strong>Results: </strong>The frequency of MetS among the SLE population was 28.5%. SLEDAI was not significantly different between SLE cases with and without MetS (P = 0.3519). CRP level was significantly higher in the SLE cases with MetS compared to those without MetS (P = 0.0412). BMI, FBS, WC (both in males and females), total cholesterol, TG, and LDL were significantly higher in SLE subjects with MetS compared to those without MetS. However, in both males and females, HDL level was significantly lower in SLE subjects with MetS compared to those without MetS. Obesity, CVD, T2D, dyslipidemia, and hypertension were more prevalent in MetS cases among the SLE population.</p><p><strong>Conclusions: </strong>An increased prevalence of MetS in the SLE population was observed, while these patients did not have worsen disease severity. All conventional components of MetS were associated with MetS development in the SLE population.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9152,"journal":{"name":"BMC Endocrine Disorders","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13591809/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148343834","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}