Metabolic Syndrome

Factors contributing to the missed diagnosis of incidental gallbladder cancer (IGBC): an integrated analysis of clinical features and ultrasound radiomics.

BACKGROUND: Incidental gallbladder cancer (IGBC) is often diagnosed only during or after cholecystectomy, and preoperative identification remains challenging. This study preliminarily explored factors contributing to IGBC missed diagnosis and attempted to develop an ultrasound radiomics‑based identification model. METHODS: A retrospective cohort of 62 IGBC and 78 non‑incidental GBC (NIGBC) patient...

C-reactive protein-triglyceride-glucose index as a novel biomarker for type 2 diabetes mellitus association in women with a history of gestational diabetes mellitus.

OBJECTIVE: To explore the relationship between the C-reactive protein-triglyceride-glucose index (CTI) and the risk of type 2 diabetes mellitus (T2DM) in women with prior gestational diabetes mellitus (GDM). METHODS: Logistic regression and restricted cubic spline (RCS) analyses were used to explore the relationship between CTI and the risk of T2DM. Subgroup and interaction analyses were conducted...

Anthropometry-adjusted TyG indices predict diabetes, graft failure, and mortality in kidney transplant recipients.

CONTEXT: The triglyceride-glucose (TyG) index is a widely used surrogate marker of insulin resistance and associated with cardiometabolic outcomes. Ho...

Trustworthy AI for personalized glycemic control: a systematic review and critical appraisal of multimodal forecasting and safety-critical closed-loop control.

Tight glycemic control reduces acute complications (hypoglycemia, hyperglycemia) and long-term microvascular/macrovascular risks. The application of A...

Social Determinants of Health and Fentanyl Overdose Mortality Across US Counties: An XGBoost and SHAP Analysis Identifying Silent Risk Counties and Treatment Deserts.

BACKGROUND: Fentanyl overdose deaths are still increasing across the U.S. Even though the crisis is growing, we still do not fully understand which co...

Risk prediction of non-small cell lung cancer in patients with pulmonary nodules: a single-center cohort study based on six machine learning algorithms.

OBJECTIVE: Lung cancer is a major global public health concern. Non-small cell lung cancer (NSCLC), the most common subtype, has drawn increasing atte...

Validation of a pan-ELastography Machine-learning (ELM) score to predict clinically significant portal hypertension in compensated advanced chronic liver disease.

BACKGROUND: Clinically significant portal hypertension (CSPH) drives decompensation and mortality in advanced chronic liver disease (ACLD). Although n...

Evaluation of a sleep sound analysis smartphone app for home obstructive sleep apnea screening among community-dwelling Chinese adults with hypertension.

PURPOSE: This study aimed to evaluate the validity and feasibility of home obstructive sleep apnea screening using a sleep sound analysis smartphone a...

Task-shifting to nonexperts using artificial intelligence-guided point-of-care ultrasound: a cohort study of patient selection, image quality, and learning curves.

AIMS: To define rates of diagnostic image acquisition, clinical drivers of image quality and the learning curve for artificial intelligence (AI)-guide...

Identification of candidate genes and metabolites associated with lactation performance in Kazakh mares using blood multi-omics and machine learning.

BACKGROUND: The Kazakh mare, an indigenous breed of Xinjiang, exhibits strong adaptability to arid and cold conditions while maintaining relatively st...

Associations of Accelerometer-Derived "Weekend Warrior" Physical Activity Pattern With Incident First Cardiometabolic Disease and Cardiometabolic Multimorbidity in Individuals With Hypertension.

BACKGROUND: To examine associations between accelerometer-derived "weekend warrior" (WW) physical activity pattern (most moderate-to-vigorous-intensit...

Machine learning-assisted prediction of obstructive sleep apnea in patients with metabolic dysfunction-associated steatotic liver disease: a multicenter study with external validation.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is closely associated with obstructive sleep apnea (OSA) through shared m...

Development of a predictive model for preeclampsia utilizing time-of-flight mass spectrometry based on novel nanomaterials integrated with machine learning.

BACKGROUND: Preeclampsia (PE) is a serious complication of pregnancy, causing irreversible damage to multiple systems and organs of both mother and ba...

Opportunistic screening for incident cardiometabolic disease in metabolically healthy non-obese individuals: a prospective cohort study.

BACKGROUND: Metabolically healthy non-obese (MHN) individuals are considered at low cardiometabolic risk, yet a subset may harbor unfavorable visceral...

Machine learning-based risk assessment of neonatal perinatal adverse outcomes of anemia during pregnancy: a modeling study.

BACKGROUND: Gestational anemia significantly elevates the risk of adverse maternal and neonatal outcomes, necessitating early predictive tools for tar...

Insulin resistance surrogate indices and incident cardiovascular disease across cardiovascular-kidney-metabolic stages 0-3: a prospective cohort study.

BACKGROUND: The American Heart Association (AHA) recently proposed the concept of Cardiovascular-Kidney-Metabolic (CKM) syndrome, highlighting the str...

Naturalistic driving data can identify elevated driving risk in adults with Type 1 diabetes.

OBJECTIVE: Individuals with Type 1 Diabetes Mellitus (T1DM) may experience acute glucose events, such as hypoglycemia and severe hyperglycemia, that c...

Time-dependent predictive contribution of the triglyceride-glucose index for incident cardiovascular disease in a 9-year Chinese cohort.

This study aims to investigate the association between triglyceride-glucose (TyG) index and risk of CVD using explainable survival analysis method bas...

Association of lipid profiles with suicide attempts in young adults with first-episode drug-naive major depressive disorder: a gender-specific analysis.

Major depressive disorder (MDD) is strongly associated with suicide risk. While lipid metabolism dysregulation is implicated in MDD pathophysiology, i...

Postoperative cerebral infarction after major thoracic and abdominopelvic surgery: a retrospective single-centre cohort study of incidence, risk factors, and outcomes.

BACKGROUND: Postoperative cerebral infarction (POCI) is an uncommon but potentially fatal complication of major non-cardiac surgery and is associated ...