Elevated basophils in peripheral blood predict lower extremity deep venous thrombosis in non-surgical patients with spontaneous intracerebral hemorrhage.

Leukocytes are associated with lower extremity deep venous thrombosis (LEDVT) in patients with spontaneous intracerebral hemorrhage (sICH). Nonetheless, the correlation between differential leukocyte subtype counts in peripheral blood and LEDVT is poorly understood. This study explored the relationship between admission basophils in leukocytes and 14-day LEDVT in non-surgical patients with sICH.

Association between cardiometabolic index and depression in a stroke population: a cross-sectional study of NHANES.

Background: Stroke is a prevalent neurological disorder globally, often resulting in post-stroke depression (PSD). The cardiometabolic index (CMI) is a novel marker for assessing cardiovascular and metabolic health, but its association with PSD has not been adequately investigated. This study aims to explore the relationship between CMI and PSD, providing a basis for clinical prevention and treatment.

Development and external validation of a dynamic nomogram for predicting the risk of functional outcome after 90 days in patients with acute intracerebral hemorrhage.

Background And Purpose: Intracerebral hemorrhage remains a significant cause of death and disability worldwide, highlighting the urgent need for accurate prognostic assessments to optimize patient management. This study aimed to develop a practical nomogram for risk prediction of poor prognosis after 90 days in patients with intracerebral hemorrhage.

Methods: A retrospective study was conducted on 638 patients with intracerebral hemorrhage in the Second Hospital of Fujian Medical University, China, who were divided into a training set ( = 446) and a test set ( = 192) by random splitting.

Relationship Between Novel Inflammatory Indices and the Incidence of Postoperative Pneumonia After Endovascular Embolization for Aneurysmal Subarachnoid Hemorrhage.

Background: Accurate identification of the risk of postoperative pneumonia (POP) in aneurysmal subarachnoid hemorrhage (aSAH) is essential for the implementation of stratified treatment. This study evaluated the relevance and utility of the Systemic Immuno-inflammatory Index (SII) and the Systemic Inflammatory Response Index (SIRI) in predicting pneumonia after aSAH.

Methods: Two hundred and forty patients undergoing aSAH intervention were included.

Construction of an Interpretable Model of the Risk of Post-Traumatic Brain Infarction Based on Machine Learning Algorithms: A Retrospective Study.

Background: Post-traumatic cerebral infarction (PTCI) is a severe complication resulting from traumatic brain injury (TBI), which can lead to permanent neurological damage or death. The investigation of the factors associated with PTCI and the establishment of predictive models are crucial for clinical practice.

Methods: We made a retrospective analysis of clinical data from 1484 TBI patients admitted to the Neurosurgery Department of a provincial hospital from January 2018 to December 2023.

Relationship between albumin-globulin ratio and prostate-specific antigen: a cross-sectional study based on NHANES 2003-2010.

Purpose: The albumin-globulin ratio (AGR) influences the development of prostate cancer; however, the relationship between AGR and prostate-specific antigen (PSA) has not been reported.

Methods: This cross-sectional investigation used comprehensive AGR versus PSA data from men with 40 years of age and older, who participated in the National Health and Nutrition Examination Survey (NHANES) from 2003 to 2010, spanning 4 investigation cycles, as only these cycles contained complete PSA data. To evaluate the nonlinear relationship between the ARG and PSA level, a regression utilizing smoothed curve fitting (penalized spline approach) and a generalized additive model (GAM) were employed.

Association between the triglyceride glucose index and acute kidney injury following traumatic brain injury.

Acute kidney injury (AKI) is associated with adverse hospitalization. Previous studies have reported that an elevated triglyceride glucose (TyG) index is significantly associated with the development of AKI in patients with cardiovascular disease, as well as in those undergoing surgery; however, the potential of the TyG index to predict AKI following neurotrauma remains unclear. Patients diagnosed with traumatic brain injury (TBI) in Chinese tertiary hospitals between January 2014 and December 2023 were included in this retrospective study.

Association between vertebral bone quality score and residual back pain following percutaneous vertebroplasty for osteoporotic vertebral compression fractures.

Background: Residual back pain (RBP) is one of the complications following percutaneous vertebroplasty (PVP) in older people with osteoporotic vertebral compression fractures (OVCFs). The vertebral bone quality (VBQ) score obtained from magnetic resonance imaging (MRI) can be used to evaluate bone quality. The objective of this study aimed to explore the potential relationship between the VBQ score and RBP after PVP.

Virus-Inspired Biodegradable Tetrasulfide-Bridged Mesoporous Organosilica with GSH Depletion for Fluorescence Imaging-Guided Sonodynamic Chemotherapy of Glioblastoma Multiforme.

Glioblastoma multiforme (GBM), a highly prevalent and lethal form of malignant tumor, is typically treated with Temozolomide (TMZ), a chemotherapeutic agent. Nevertheless, the effectiveness of TMZ is hampered by inadequate cell entry, systemic adverse effects, and monotherapy constraints. Previous clinical studies have demonstrated that combination therapy can significantly enhance the therapeutic efficacy.

A Machine Learning Model Based on CT Imaging Metrics and Clinical Features to Predict the Risk of Hospital-Acquired Pneumonia After Traumatic Brain Injury.

Objective: To develop a validated machine learning (ML) algorithm for predicting the risk of hospital-acquired pneumonia (HAP) in patients with traumatic brain injury (TBI).

Materials And Methods: We employed the Least Absolute Shrinkage and Selection Operator (LASSO) to identify critical features related to pneumonia. Five ML models-Logistic Regression (LR), Extreme Gradient Boosting (XGB), Random Forest (RF), Naive Bayes Classifier (NB), and Support Vector Machine (SVC)-were developed and assessed using the training and validation datasets.

C-reactive protein is a predictor for lower-extremity deep venous thrombosis in patients with primary intracerebral hemorrhage.

Objective: Our study aimed to determine whether there exists an association between low-grade systemic inflammation, as measured by serum C-reactive protein (CRP), and the risk of lower-extremity deep venous thrombosis (LEDVT) in patients with primary intracerebral hemorrhage (ICH).

Methods: This observational study was retrospectively conducted on patients with primary ICH who were presented to two tertiary medical centers between January 2021 and August 2022. The primary outcome was detecting LEDVT occurrence within 14 days from the onset of the acute ICH episode.

Tracheal regeneration and mesenchymal stem cell augmenting potential of natural polyphenol-loaded gelatinmethacryloyl bioadhesive.

Hydrogels incorporating natural biopolymer and adhesive substances have extensively been used to develop bioactive drugs and to design cells encapsulating sturdy structure for biomedical applications. However, the conjugation of the adhesive in most hydrogels is insufficient to maintain long-lasting biocompatibility inadequate to accelerate internal organ tissue repair in the essential native cellular microenvironment. The current work elaborates the synthesis of charged choline-catechol ionic liquid (BIL) adhesive and a hydrogel with an electronegative atom rich polyphenol (PU)-laden gelatinmethacryloyl (GelMA) to improve the structural bioactivities for in vivo tracheal repair by inducing swift crosslinking along with durable mechanical and tissue adhesive properties.

Bibliometric and visualization analysis of radiation brain injury from 2003 to 2023.

Background: Over the past two decades, the field of radiation brain injury has attracted the attention of an increasing number of brain scientists, particularly in the areas of molecular pathology and therapeutic approaches. Characterizing global collaboration networks and mapping development trends over the past 20 years is essential.

Objective: The aim of this paper is to examine significant issues and future directions while shedding light on collaboration and research status in the field of radiation brain injury.