Objective: To characterize the populations that selected the combination measles, mumps, rubella, and varicella vaccine (MMRV) as their first measles-containing
Objective: To examine whether an endotoxin- and severity-guided approach could improve patient selection for endotoxin-targeted therapy in sepsis. Approach: TIG
Objective: To evaluate the relationship between coffee consumption and atrial fibrillation (AF) recurrence risk. Approach: Evidence Review: The writing group su
Objective: To analyze the association between joint tenderness and ultrasound abnormalities in anti-cyclic citrullinated peptide-positive patients with musculos
Objective: To advance a handheld device for diabetes and pre-diabetes screening through eye scans. Approach: Device Development: Occuity is developing the SD1 d
Objective: To evaluate the association between margin width and ipsilateral breast tumor recurrence (IBTR) in postmenopausal patients with hormone receptor-posi
Objective: To discuss the clinical experiences with XIPERE and microneedle technology for treating uveitis. Approach: Interview with Dr. Chin Yee: Dr. Chin Yee
Objective: To explore the influence of gut health and the microbiome on drug absorption, metabolism, and efficacy. Approach: Microbiome Influence: The gut micro
Objective: To explore the use of AI applications in the diagnosis and risk assessment of oral epithelial dysplasia (OED) within the context of a Cancer Research
Objective: To highlight the importance of laboratory findings and early molecular testing in diagnosing tick-borne anaplasmosis, particularly in a patient with
Objective: To develop and internally validate a multivariable model for individualized pseudoprogression risk estimation in high-grade glioma patients after rad
Objective: To evaluate age-associated differences in treatment patterns and overall survival in patients with nonmetastatic intrahepatic cholangiocarcinoma (ICC
Objective: To compare the efficacy and safety of quadruple therapy versus triple therapy in patients with heart failure and preserved ejection fraction (HFpEF).
Objective: To report a rare case of a patient with concurrent stiff-person syndrome (SPS) and myasthenia gravis (MG) associated with thymoma and evaluate the ef
Objective: To investigate the association of admission-based composite inflammatory indices and C-reactive protein-to-albumin ratio (CAR) with in-hospital morta
The study analyzed 709 ICU patients from the emergency department to assess the association of inflammatory indices with in-hospital mortality.
Higher median values of Multi-Inflammatory Index (MII) and C-reactive protein-to-albumin ratio (CAR) were found in non-survivors compared to survivors.
Cox regression analyses indicated that CAR and all three MII variants were associated with in-hospital mortality.
Receiver operating characteristic analyses revealed limited discriminatory performance for MII variants and CAR in predicting mortality.
The findings suggest that admission-based inflammatory indices serve as adjunctive markers rather than standalone prognostic tools.
Objective: To evaluate the efficacy of exercise training interventions on frailty, cardiorespiratory fitness (CRF), and lower limb function in non-dialysis chro
Eighteen randomized controlled trials involving 938 participants were included in the systematic review and meta-analysis.
Exercise interventions significantly improved walking speed and reduced fatigue in patients with non-dialysis chronic kidney disease.
Overall cardiorespiratory fitness and lower limb function were significantly enhanced through exercise interventions in the study population.
Outcomes for absolute body weight, handgrip strength, and general physical activity levels did not show statistical significance.
The systematic review aims to provide a detailed analysis of exercise effects on frailty, cardiorespiratory fitness, and lower limb function in NDD-CKD patients.
Objective: To develop and interpret an early prediction model for incident AKI in adult ICU patients with polytrauma using routinely available data from the fir
Acute kidney injury (AKI) is a common complication in polytrauma patients, complicating early risk stratification due to reliance on delayed serum creatinine changes.
The study developed a machine learning model using data from the first 6 hours after ICU admission to predict AKI in adult polytrauma patients.
Logistic regression achieved the highest performance in predicting AKI, with an AUC of 0.900 and high sensitivity and negative predictive value.
SHAP analysis identified key predictors for AKI, including SOFA score, weight, magnesium levels, and vital signs.
External validation showed moderate transportability of the logistic regression model, indicating the need for further prospective validation.