A novel nomogram to predict the risk of requiring mechanical ventilation in patients with sepsis within 48 hours of admission: a retrospective analysis.

Objective: To establish a model that can predict the risk of requiring mechanical ventilation within 48 h after admission in patients with sepsis.

Methods: Data for patients with sepsis admitted to Dongyang People's Hospital from October 2011 to October 2023 were collected and divided into a modeling group and a validation group. Independent risk factors in the modeling group were analyzed, and a corresponding predictive nomogram was established.

The efficacy and safety of ZR2 versus R-CHOP-like for elderly patients with newly diagnosed diffuse large B cell lymphoma: a single-center prospective study in China.

Bruton's tyrosine kinase inhibitors have been demonstrated preliminary efficacy in diffuse large B-cell lymphoma (DLBCL). To compare the safety and efficacy of zanubrutinib plus rituximab and lenalidomide (ZR2) and R-CHOP-like for elderly patients with newly diagnosed DLBCL, we conducted this single-center prospective study. Patients were treated with 6 cycles of ZR2 or R-CHOP-like regimen for the first-line treatment.

Gastric and small bowel metastases from lung adenocarcinoma: A case report.

Rationale: Metastatic tumors in the stomach and small bowel are rare. This article reports a case of lung adenocarcinoma metastasizing to the stomach and small bowel.

Patient Concerns: This case study presents the medical history of a 41-year-old male construction worker with a 1-month-long cough and slight chest discomfort.

Predictive value of the CURB-65, qSOFA, and APACHE II for in-hospital mortality in patients with acute exacerbation chronic obstructive pulmonary disease.

This study aimed to evaluate the efficacy of Quick Sequential Organ Failure Assessment, Confusion, Urea, Respiratory Rate, Blood Pressure, and Age Above or Below 65 Years (CURB-65), and Acute Physiology and Chronic Health Evaluation (APACHE) II in predicting the in-hospital mortality of patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). This retrospective study was conducted on 1583 hospitalized patients diagnosed with AECOPD from 2017 to 2019. Appropriate clinical data were retrieved from medical records from the time of admission up until the patients were discharged.

Decreased prevalence of alcohol use and related sociodemographic factors in an urban district of Shanghai, China: Evidence from three cross-sectional surveys (2010-2021).

Background: Alcohol use contributes considerably to the global impact of disease. However, limited research has been conducted recently to explore the changes in the prevalence of alcohol use, especially in urban Shanghai, China.

Objectives: To estimate the prevalence changes of alcohol use and explore related sociodemographic factors among urban residents of Xuhui district, Shanghai, China.

A novel sequence type of carbapenem-resistant hypervirulent Klebsiella pneumoniae strains from a county-level tertiary hospital in Southeastern China.

The whole-genome sequencing of carbapenem-resistant Klebsiella pneumoniae (CRKP) strains is required for investigating the molecular epidemiology because of their diverse molecular types across geographical regions. CRKP strains were collected from a tertiary hospital in Southeastern China from January 2017 to December 2020. Following species identification, drug susceptibility phenotypes were determined based on minimum inhibitory concentrations using the VITEK 2 Compact system.

Machine learning derived model for the prediction of bleeding in dual antiplatelet therapy patients.

Objective: This study aimed to develop a predictive model for assessing bleeding risk in dual antiplatelet therapy (DAPT) patients.

Methods: A total of 18,408 DAPT patients were included. Data on patients' demographics, clinical features, underlying diseases, past history, and laboratory examinations were collected from Affiliated Dongyang Hospital of Wenzhou Medical University.

Unlocking Apoptotic Pathways: Overcoming Tumor Resistance in CAR-T-Cell Therapy.

Background: Chimeric antigen receptor (CAR)-T-cell therapy has transformed cancer treatment, leading to remarkable clinical outcomes. However, resistance continues to be a major obstacle, significantly limiting its efficacy in numerous patients.

Objectives: This review critically examines the challenges associated with CAR-T-cell therapy, with a particular focus on the role of apoptotic pathways in overcoming resistance.

Early B lymphocyte subsets in blood predict prognosis in sepsis.

Background: B lymphocytes play a key role in immunosuppression. This study investigated the prognostic value of B cell subsets in sepsis.

Methods: Flow cytometry was used to assess peripheral B cell subsets from patients with sepsis on the first and seventh days following admission, as well as 111 healthy controls.

Integrated GMPS and RAMP3 as a signature to predict prognosis and immune heterogeneity in hepatocellular carcinoma.

Background: Hepatocellular carcinoma (HCC) is a highly fatal malignant worldwide. As different expression levels of specific genes can lead to different HCC outcomes, we aimed to develop a gene signature capable of predicting HCC prognosis.

Methods: In this study, transcriptomic sequencing and relevant clinical data were extracted from public platforms.

Predictive Model of Internal Bleeding in Elderly Aspirin Users Using XGBoost Machine Learning.

Objective: This study aimed to develop a predictive model for assessing internal bleeding risk in elderly aspirin users using machine learning.

Methods: A total of 26,030 elderly aspirin users (aged over 65) were retrospective included in the study. Data on patient demographics, clinical features, underlying diseases, medical history, and laboratory examinations were collected from Affiliated Dongyang Hospital of Wenzhou Medical University.

Target Attainment and Population Pharmacokinetics of Nirmatrelvir/Ritonavir in Critically Ill Adult Patients.

Background: The population pharmacokinetics of nirmatrelvir/ritonavir (NIR/RIT) has not yet been described for critically ill adult patient.

Purpose: This was a prospective observational population pharmacokinetic study of nirmatrelvir/ritonavir (NIR/RIT) in critically ill adult patients and identify optimal dosing regimens.

Patients And Methods: The prescription of NIR/RIT is determined by the attending physician and ranges from 150mg/100mg to 300mg/100mg twice a day.

Reassessment of pioglitazone and bladder cancer based on FAERS database.

Background: The association between pioglitazone (PLZ) and bladder cancer (BC) remains controversial in several randomized control trials, meta-analyses of multiple prospective studies, and large-scale observational studies.

Research Design And Methods: Adverse event (AE) data from 1 January 2004 to 31 March 2024 were extracted from the Food and Drug Administration Adverse Event Reporting System (FAERS) database. Disproportionality analysis were applied to quantify the signals of PLZ related BC.

Clinical and biochemical factors for bacteria in bile among patients with acute cholangitis.

Background: Acute cholangitis is a clinical syndrome caused by a bacterial infection in the biliary system. The bacteria could exist in the bile before bile drainage despite empirical antibiotic treatment.

Methods: Patients with acute cholangitis admitted to a tertiary hospital in Southeastern China from August 2011 to September 2021 were involved when bile cultures were performed.

A nomogram for predicting short-term mortality in ICU patients with coexisting chronic obstructive pulmonary disease and congestive heart failure.

Objective: This study aimed to develop and validate a nomogram for predicting 28-day and 90-day mortality in intensive care unit (ICU) patients who have chronic obstructive pulmonary disease (COPD) coexisting with congestive heart failure (CHF).

Methods: An extensive analysis was conducted on clinical data from the Medical Information Mart for Intensive Care IV database, covering patients over 18 years old with both COPD and CHF, who were were first-time ICU admissions between 2008 and 2019. The least absolute shrinkage and selection operator (LASSO) regression method was employed to screen clinical features, with the final model being optimized using backward stepwise regression guided by the Akaike Information Criterion (AIC) to construct the nomogram.