Structural and functional thalamic alterations in major depressive disorder with comorbid chronic pain. [PDF]
Ye J+5 more
europepmc +1 more source
This study investigated the utility of the Japanese NCD risk calculator for preoperative assessment in elderly patients undergoing pancreaticoduodenectomy (PD), using a validation study design. In the training cohort, two preoperative factors—the predicted incidence of postoperative ADL decline ≥ 44.8% and Clavien–Dindo grade IV or higher complications
Nana Kimura+9 more
wiley +1 more source
Early-life famine exposure and subsequent risk of chronic disease comorbidity in later adulthood: the role of social activities. [PDF]
Zhao R, Zheng Q, Chen LQ, Feng Q.
europepmc +1 more source
Mesenteric thrombosis: An unusual complication of severe acute pancreatitis—Report of two cases
Abstract The incidence of acute pancreatitis is 34 per 100 000 people in the general population and is on the rise. Approximately 15% to 20% of all patients experience severe pancreatitis, with a mortality rate nearing 20%. This condition is often linked to vascular complications, although mesenteric thrombosis is a rare presentation.
Asya Zubillaga‐Mares+5 more
wiley +1 more source
The relationship between comorbidities, physical inactivity, kinesiophobia and physical performance in hypertensive individuals: a cross-sectional study. [PDF]
Benli RK, Yasarer Ö, Mete E, Kiliç BB.
europepmc +1 more source
This study, utilizing two large‐cohort datasets, employs interpretable neural networks. It demonstrates that incorporating brain morphology and functional and structural networks enhances predictive accuracy for general psychopathology and its dimensions.
Jing Xia, Nanguang Chen, Anqi Qiu
wiley +1 more source
Prognostic risk profiling in COPD using Global Initiative for Chronic Obstructive Lung Disease 2023 ABE and comorbidity assessment: evidence from a register-based COPD cohort. [PDF]
Lin CH+9 more
europepmc +1 more source
Migraine and epilepsy: clinical and pathophysiological relations. [PDF]
Beneduce L+7 more
core +1 more source
Early diagnosis and prognosis prediction of central nervous system infections are critical. This study introduces a deep‐learning model utilizing cerebrospinal fluid immune‐cell morphology captured via 3D holotomography. The model effectively predicts infection etiology and prognosis, achieving high accuracy.
Bo Kyu Choi+5 more
wiley +1 more source