Ability of the modified NUTRIC score to predict all-cause mortality among ICU patients with acute pancreatitis: A retrospective analysis using the MIMIC-IV database.

Background: Acute pancreatitis (AP) is a common acute abdominal condition that can lead to severe complications. Malnutrition significantly impacts the prognosis of patients with AP, so effective tools are needed to identify those at high nutritional risk. This study validated the ability of the modified NUTRIC score to predict all-cause mortality and identify nutritional risk in patients with acute pancreatitis in the ICU.

Traditional Chinese medicine Chaiqinchengqi decoction for patients with acute pancreatitis: A randomized clinical trial.

Background: Chaiqinchengqi decoction, a traditional Chinese medicine, has shown promising effects in in vitro, animal and preliminary small human studies for acute pancreatitis, but evidence of clinical practice is limited.

Purpose: To investigate whether Chaiqinchengqi decoction could improve clinical outcomes in patients with acute pancreatitis.

Study Design: Prospective, pragmatic, randomized controlled trial.

Classification-based pathway analysis using GPNet with novel P-value computation.

Pathway analysis plays a critical role in bioinformatics, enabling researchers to identify biological pathways associated with various conditions by analyzing gene expression data. However, the rise of large, multi-center datasets has highlighted limitations in traditional methods like Over-Representation Analysis (ORA) and Functional Class Scoring (FCS), which struggle with low signal-to-noise ratios (SNR) and large sample sizes. To tackle these challenges, we use a deep learning-based classification method, Gene PointNet, and a novel $P$-value computation approach leveraging the confusion matrix to address pathway analysis tasks.

Precise Measurement of the e^{+}e^{-}→D_{s}^{+}D_{s}^{-} Cross Section at Center-of-Mass Energies from Threshold to 4.95 GeV.

Using the e^{+}e^{-} collision data collected with the BESIII detector operating at the BEPCII collider, at center-of-mass energies from the threshold to 4.95 GeV, we present precise measurements of the cross section for the process e^{+}e^{-}→D_{s}^{+}D_{s}^{-} using a single-tag method. The resulting cross section line shape exhibits several new structures, thereby offering an input for a future coupled-channel analysis and model tests, which are critical to understand vector charmonium-like states with masses between 4 and 5 GeV.

Type 3 deiodinase activation mediated by the Shh/Gli1 axis promotes sepsis-induced metabolic dysregulation in skeletal muscles.

Background: Non-thyroidal illness syndrome is commonly observed in critically ill patients, characterized by the inactivation of systemic thyroid hormones (TH), which aggravates metabolic dysfunction. Recent evidence indicates that enhanced TH inactivation is mediated by the reactivation of type 3 deiodinase (Dio3) at the tissue level, culminating in a perturbed local metabolic equilibrium. This study assessed whether targeted inhibition of Dio3 can maintain tissue metabolic homeostasis under septic conditions and explored the mechanism behind Dio3 reactivation.