The molecular prognostic scoring system for normal karyotype myelodysplastic syndromes.

Background: Molecular-clinical prognostic models for Myelodysplastic syndromes (MDS) offer more accurate prognosis predictions, yet existing models often overlook the heterogeneity of mutational profiles against the cytogenetic background. Moreover, how to apply these models in regions where large panel NGS is unaffordable remains a significant challenge to be addressed.

Methods: A total of 237 NK MDS patients from our center were used as the training set to screen for key variables and develop a prognostic model with overall survival (OS) as the endpoint.

α-Actinin-1 deficiency in megakaryocytes causes low platelet count, platelet dysfunction, and mitochondrial impairment.

Cytoskeletal remodeling and mitochondrial bioenergetics play important roles in thrombocytopoiesis and platelet function. Recently, α-actinin-1 mutations have been reported in patients with congenital macrothrombocytopenia. However, the role and underlying mechanism of α-actinin-1 in thrombocytopoiesis and platelet function remain elusive.

QM/MM study reveals novel mechanism of KRAS and KRAS catalyzed GTP hydrolysis.

As a crucial drug target, KRAS can regulate most cellular processes involving guanosine triphosphate (GTP) hydrolysis. However, the mechanism of GTP hydrolysis has remained controversial over the past decades. Here, several different GTP hydrolysis mechanisms catalyzed by wild-type KRAS (WT-KRAS) and KRAS mutants were discussed via four QM/MM calculation models.

Development and validation of a risk prediction model for multiple organ dysfunction syndrome secondary to severe heat stroke based on immediate assessment indicators on ICU admission.

Introduction: Early prediction of multiple organ dysfunction syndrome (MODS) secondary to severe heat stroke (SHS) is crucial for improving patient outcomes. This study aims to develop and validate a risk prediction model for those patients based on immediate assessment indicators on ICU admission.

Methods: Two hundred eighty-four cases with SHS in our hospital between July 2009 and April 2024 were retrospectively reviewed, and categorized into non-MODS and MODS groups.

A nomogram based on InLDH and InNLR for predicting disseminated intravascular coagulation in patients with heat stroke.

Background: Heat stroke (HS), a potentially fatal heat-related illness, is often accompanied by disseminated intravascular coagulation (DIC) early, resulting in a poorer prognosis. Unfortunately, diagnosis by current DIC scores is often too late to identify DIC. This study aims to investigate the predictors and predictive model of DIC in HS to identify DIC early.