Sagittal split ramus osteotomy-enhanced mandibular distraction osteogenesis: A biomechanically superior approach for three-dimensional reconstruction in severe micrognathia.

Background: Mandibular distraction osteogenesis (MDO) remains essential for severe micrognathia correction. The clinical adoption of conventional osteotomy techniques has been constrained by complications including non-union, inferior alveolar nerve injury, and dental germ damage, compounded by suboptimal occlusal relationships and compromised facial aesthetics. Critical considerations in MDO execution encompass neural structure preservation, osteotomy gap integrity, and achieving three-dimensional skeletal augmentation to enhance both functional stability and craniofacial proportions.

Elevated cytokine levels in patients with High-altitude pulmonary edema.

Background: Immunomodulation is integral to the body's adaptation to varying altitudes. Nevertheless, the effects of immune regulation on the onset of high-altitude pulmonary edema (HAPE) are not well understood. This research aimed to explore the influence of immune regulation on HAPE pathogenesis through the assessment of cytokine levels.

Integrative proteomics and metabolomics reveal important pathways and potential biomarkers in high-altitude pulmonary hypertension.

High-altitude pulmonary hypertension (HAPH) is a severe condition affecting highland residents, yet its molecular mechanisms remain incompletely understood. This study aimed to investigate the pathogenesis of HAPH through integrated metabolomic and proteomic analyses. We performed untargeted metabolomics and proteomics analyses on plasma samples from HAPH patients (n=30) and matched healthy controls (n=30).

A machine learning-based severity stratification tool for high altitude pulmonary edema.

This study aimed to identify key predictors for the severity of High Altitude Pulmonary Edema (HAPE) to assist clinicians in promptly recognizing severely affected patients in the emergency department, thereby reducing associated mortality rates. Multinomail logistic regression, random forest, and decision tree methods were utilized to determine important predictor variables and evaluate model performance. A total of 508 patients diagnosed with HAPE were included in the study, with 53 variables analyzed.