Single-cell mitophagy patterns within the tumor microenvironment modulate intercellular communication, impacting the progression and prognosis of hepatocellular carcinoma.

Background: Hepatocellular carcinoma (HCC) is a common malignant tumor of the digestive system with a high incidence that seriously threatens patients' lives and health. However, with the rise and application of new treatments, such as immunotherapy, there are still some restrictions in the treatment and diagnosis of HCC, and the therapeutic effects on patients are not ideal.

Methods: Two single-cell RNA sequencing (scRNA-seq) datasets from HCC patients, encompassing 25,189 cells, were analyzed in the study.

Chemokine family significance and prognostic value in colorectal cancer.

Background: Colorectal cancer (CRC) poses a substantial global health concern, exhibits inconspicuous early symptoms, and is typically diagnosed at advanced stages leading to unfavorable outcomes. The intricate tumor microenvironment plays a crucial role in CRC development and progression, where chemokines contribute significantly. These chemokines exhibit widespread expression within tumor cells, facilitating immune cell infiltration, angiogenesis, and the establishment of distant metastases.

Corrigendum: Modulation of local immunity by the vaginal microbiome is associated with triggering spontaneous preterm birth.

[This corrects the article DOI: 10.3389/fimmu.2024.

Single-cell sequencing analysis reveals cancer-associated pericyte subgroup in esophageal squamous cell carcinoma to predict prognosis.

Background: The role of cancer-associated pericytes (CAPs) in tumor microenvironment (TME) suggests that they are potential targets for cancer treatment. The mechanism of CAP heterogeneity in esophageal squamous cell carcinoma (ESCC) remains unclear, which has limited the development of treatments for tumors through CAPs. Therefore, a comprehensive understanding of the classification, function, cellular communication and spatial distribution of CAP subpopulations in ESCC is urgently needed.

Predicting the risk of gastroparesis in critically ill patients after CME using an interpretable machine learning algorithm - a 10-year multicenter retrospective study.

Background: Gastroparesis following complete mesocolic excision (CME) can precipitate a cascade of severe complications, which may significantly hinder postoperative recovery and diminish the patient's quality of life. In the present study, four advanced machine learning algorithms-Extreme Gradient Boosting (XGBoost), Random Forest (RF), Support Vector Machine (SVM), and -nearest neighbor (KNN)-were employed to develop predictive models. The clinical data of critically ill patients transferred to the intensive care unit (ICU) post-CME were meticulously analyzed to identify key risk factors associated with the development of gastroparesis.

Sarcopenia is a risk factor for postoperative delirium in geriatric hip fracture patients: a retrospective study.

Background: Various factors contribute to postoperative delirium (POD) in elderly patients undergoing hip fracture surgeries. Sarcopenia was defined as the progressive loss of skeletal muscle mass and strength associated with aging. The aim of this study was to explore the prevalence of POD and sarcopenia in geriatric patients undergoing hip fracture surgeries and to investigate the correlation between preoperative sarcopenia and POD.

Evaluation of the effectiveness of GASMAN anesthesia simulation software combined with case-based learning versus traditional lecture-based learning in inhalation anesthesia education.

Objective: To evaluate the effectiveness of integrating GASMAN anesthesia simulation software with case-based learning (IGC) compared to traditional lecture-based learning (LBL) in teaching inhalation anesthesia to undergraduate anesthesiology students.

Methods: Fourth-year students from two academic years (2022, = 110; 2023, = 131) enrolled in a five-year anesthesiology program were assigned to either traditional lecture-based learning (LBL) or IGC groups. The LBL group received traditional lectures using PowerPoint slides, while the IGC group engaged with GASMAN anesthesia simulation software (a tool designed for anesthesia simulation and gas monitoring) combined with case-based learning.

A nomogram model based on albumin-bilirubin score for predicting 90-day prognosis in patients with acute-on-chronic liver failure.

Objective: To develop a nomogram model based on the albumin-bilirubin (ALBI) score for predicting the 90-day prognosis of patients with acute-on-chronic liver failure (ACLF) and to evaluate its predictive efficacy.

Methods: Clinical data of 290 ACLF patients at the Third People's Hospital of Nantong City, collected from December 2020 to December 2023, were analyzed. The data were divided into a training set ( = 200) and a validation set ( = 90), with August 2022 as the cut-off date.

Blood urea nitrogen-to-albumin ratio as a new prognostic indicator of 1-year all-cause mortality in patients with IPF.

Background: Idiopathic pulmonary fibrosis (IPF) is an interstitial lung disease characterized by chronic inflammation and progressive fibrosis. The blood urea nitrogen-to-albumin ratio (BAR) is a comprehensive parameter associated with inflammation status; however, it is unknown whether the BAR can predict the prognosis of IPF.

Methods: This retrospective study included 176 patients with IPF, and 1-year all-cause mortality of these patients was recorded.

Increased platelet aggregation in hepatic tissue of metabolic-associated fatty liver disease-an observational study.

Objective: The study aimed to observe the quantity of platelet aggregation in the hepatic tissue of patients with metabolic-associated fatty liver disease (MAFLD) and its relationship with hepatic inflammation, fibrosis, and fatty degeneration.

Methods: Clinical data of 55 patients with MAFLD and 25 patients without MAFLD, admitted to the Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine from December 2020 to May 2022, were retrospectively analyzed. Liver tissue obtained by liver biopsy underwent routine pathological examination.

Efficacy and safety of acupuncture for postoperative gastroparesis syndrome: a systematic review and meta-analysis.

Background: Postoperative gastroparesis syndrome (PGS) is a common postoperative complication characterized by epigastralgia, nausea, and vomiting. Acupuncture is widely used to aid recovery, but its efficacy and safety have not been systematically evaluated.

Method: We retrieved randomized controlled trials (RCTs) using acupuncture as the primary intervention from six databases.

Bibliometric mapping of mesenchymal stem cell therapy for bone regeneration from 2013 to 2023.

Mesenchymal stem cells (MSCs) have shown significant potential in bone regeneration and regenerative medicine in recent years. With the advancement of tissue engineering, MSCs have been increasingly applied in bone repair and regeneration, and their clinical application potential has grown through interdisciplinary approaches involving biomaterials and genetic engineering. However, there is a lack of systematic reviews summarizing their applications in bone regeneration.

Comparison between traditional logistic regression and machine learning for predicting mortality in adult sepsis patients.

Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population. This study compared the performance of traditional logistic regression and machine learning models in predicting adult sepsis mortality.

Objective: To develop an optimum model for predicting the mortality of adult sepsis patients based on comparing traditional logistic regression and machine learning methodology.

Proteomics analysis reveals age-related proteins in the urine of chronic kidney disease patients.

Chronic kidney disease (CKD) is closely linked to the aging process, making the identification of protein biomarkers that reflect aging in specific organs and tissues crucial for a deeper understanding of this phenomenon. This study aimed to identify potential aging-related proteins present in the urine of CKD patients. Utilizing liquid chromatography-tandem mass spectrometry (LC-MS/MS) proteomic analysis, we identified a total of 1,712 proteins in the urine samples from both healthy controls and CKD patients in our discovery cohort.

Comparison of the EQ-5D-3L and EQ-5D-5L instruments in patients undergoing unicompartmental knee arthroplasty.

Purpose: The purpose of this investigation is to assess and contrast the effectiveness of the two EuroQol five dimensions questionnaire (EQ-5D) versions-EQ-5D-3L and EQ-5D-5L-in assessing one-year quality of life outcomes for patients with knee osteoarthritis (KOA) undergoing unicompartmental knee arthroplasty (UKA).

Material And Method: From the medical records at the Honghui Hospital, Xi'an Jiaotong University, 402 individuals aged 50 and above, who were one-year post-operation, were selected to fill out survey questionnaires during their return hospital visits. Of these, 231 respondents (57.

High perioperative lactate levels as a potential predictor for severe acute kidney injury following aortic arch surgery.

Background: Acute type A aortic dissection (ATAAD) is a life-threatening condition that often requires total aortic arch replacement (TAR) combined with frozen elephant trunk (FET) implantation. Despite advancements in surgical techniques and preoperative management, postoperative acute kidney injury (AKI) remains a prevalent complication that significantly affects patient prognosis, particularly severe AKI. The aim of this study was to investigate the predictive value of perioperative lactate levels in severe postoperative AKI after TAR.

Case report: Electrical impedance tomography-guided ventilator weaning in an obese patient with severe pneumonia.

Background: Electrical impedance tomography (EIT) evaluates lung function by providing continuous, real-time monitoring of regional lung ventilation distribution to guide the restoration of lung ventilation. Patients with obesity who are dependent on mechanical ventilation often struggle with weaning. This case report highlights the potential of EIT to guide the weaning of ventilator-dependent patients in an obese patient with severe pneumonia.

Evaluation of the diagnostic efficiency of fluorescence hybridization for pulmonary tuberculosis: a systematic review and meta-analysis.

Objective: In clinical practice, an accurate and efficient detection approach for pulmonary tuberculosis (PTB) is highly needed. The fluorescence hybridization (FISH) assay for PTB might be a suitable alternative to current tests. However, a systematic assessment of the diagnostic performance of this new approach is not available.

Harnessing artificial intelligence in sepsis care: advances in early detection, personalized treatment, and real-time monitoring.

Sepsis remains a leading cause of morbidity and mortality worldwide due to its rapid progression and heterogeneous nature. This review explores the potential of Artificial Intelligence (AI) to transform sepsis management, from early detection to personalized treatment and real-time monitoring. AI, particularly through machine learning (ML) techniques such as random forest models and deep learning algorithms, has shown promise in analyzing electronic health record (EHR) data to identify patterns that enable early sepsis detection.

Screening key genes for intracranial aneurysm rupture using LASSO regression and the SVM-RFE algorithm.

Background: Although an intracranial aneurysm (IA) is widespread and fatal, few drugs can be used to prevent its rupture. This study explored the molecular mechanism and potential targets of IA rupture through bioinformatics methods.

Methods: The gene expression matrices of GSE13353, GSE122897, and GSE15629 were downloaded.

Individualized treatment recommendations for patients with locally advanced head and neck squamous cell carcinoma utilizing deep learning.

Background: The conventional treatment for locally advanced head and neck squamous cell carcinoma (LA-HNSCC) is surgery; however, the efficacy of definitive chemoradiotherapy (CRT) remains controversial.

Objective: This study aimed to evaluate the ability of deep learning (DL) models to identify patients with LA-HNSCC who can achieve organ preservation through definitive CRT and provide individualized adjuvant treatment recommendations for patients who are better suited for surgery.

Methods: Five models were developed for treatment recommendations.

The association between the neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio and delirium in ischemic stroke patients.

Background: Delirium is a severe neuropsychiatric symptom following acute ischemic stroke (IS) and is associated with poor outcomes. Systemic inflammation and immune dysregulation are believed to contribute to the pathophysiology of delirium. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) are widely recognized as convenient and reliable biomarkers of systemic inflammation.

Relationship between maternal pre-pregnancy BMI and neonatal birth weight in pregnancies with gestational diabetes mellitus: a retrospective cohort study.

Aim: The aim of this study was to explore the association between maternal pre-pregnancy body mass index (BMI) and neonatal birth weight in pregnancies with gestational diabetes mellitus (GDM).

Methods: This was a retrospective cohort study conducted between January 2019 and June 2020 at a university hospital in Fuzhou, China.

Results: Pre-pregnancy BMI was used to categorize 791 pregnant women as underweight (3.

A bibliometric analysis of optic atrophy from 2003 to 2023: research trends and hot spots.

Background: Optic atrophy (OA) is primarily caused by damage to the retinal pathway system, including widespread degeneration of retinal ganglion cells and axons, leading to visual impairment and blindness. Despite its clinical significance and diverse etiological factors, there is currently a lack of comprehensive bibliometric analyses exploring research trends and hotspots within this field.

Method: This study retrieved relevant literature on OA published between 2003 and 2023 from the Web of Science Core Collection database.