Multi-omics analysis of immune-related microbiome and prognostic model in head and neck squamous cell carcinoma.

Objectives: The aim of our study is to explore the transcriptional and microbial characteristics of head and neck cancer's immune phenotypes using a multi-omics approach.

Materials And Methods: Employing TCGA data, we analyzed head and neck squamous cell carcinoma (HNSCC) immune cells with CIBERSORT and identified differentially expressed genes using DESeq2. Microbial profiles, obtained from the TCMA database, were analyzed using LEfSe algorithm to identify differential microbes in immune cell infiltration (ICI) subgroups.

Dual mechanisms based on synergistic effects of evaporation potential and streaming potential for natural water evaporation.

Electricity generation by natural water evaporation generators (NWEGs) using porous materials shows great potential for energy harvesting, but mechanistic investigations of NWEGs have mostly been limited to streaming potential studies. In this study, we propose the coexistence of an evaporation potential and streaming potential in a NWEG using ZSM-5 as the generation material. The iron probe method, salt concentration regulation, solution regulation, and side evaporation area regulation were used to analyze the NWEG mechanism.

Hospital spending and length of hospital stay for mental disorders in Hunan, China.

Objectives: To describe hospital spending and length of stay for mental disorders in Hunan, China.

Methods: We extracted hospital care data for Hunan province from the Chinese National Health Statistics Network Reporting System. Patients with mental disorders (ICD-10 codes: F00 to F99) as the principal diagnosis and hospitalized between January 1, 2017 and December 31, 2019 were included.

Spatial distribution of stroke readmission within 30 days and the influencing factors in Hunan Province.

Objectives: Stroke readmission increases financial burden on the family and the consumption of medical resources, and 30-day readmission rate is an important indicator for quality evaluation on health services. The influential factors for readmission mainly include patient-related factors, hospital factors, and society-related factors, with regional differences. This study aims to explore the spatial distribution and its main relevant factors for 30-day readmission of stroke patients in Hunan Province, and to provide the useful information for the improvement of regional prevention and control of stroke readmission.

Early Prediction Model for Critical Illness of Hospitalized COVID-19 Patients Based on Machine Learning Techniques.

Motivation: Patients with novel coronavirus disease 2019 (COVID-19) worsen into critical illness suddenly is a matter of great concern. Early identification and effective triaging of patients with a high risk of developing critical illness COVID-19 upon admission can aid in improving patient care, increasing the cure rate, and mitigating the burden on the medical care system. This study proposed and extended classical least absolute shrinkage and selection operator (LASSO) logistic regression to objectively identify clinical determination and risk factors for the early identification of patients at high risk of progression to critical illness at the time of hospital admission.

Development and Validation of a Predictive Nomogram with Age and Laboratory Findings for Severe COVID-19 in Hunan Province, China.

Purpose: To identify more objectively predictive factors of severe outcome among patients hospitalized for coronavirus disease 2019 (COVID-19).

Patients And Methods: A retrospective cohort of 479 hospitalized patients diagnosed with COVID-19 in Hunan Province was selected. The prognostic effects of factors such as age and laboratory indicators were analyzed using the Kaplan-Meier method and Cox proportional hazards model.

Analysis of hospitalization costs and length of stay for oral cancer patients undergoing surgery: Evidence from Hunan, China.

Objective: To provide information about hospitalization costs and length of stay (LOS) for inpatients undergoing oral cancer (OC) surgery, and to investigate the association of hospitalization costs and LOS with demographics, tumor subsite, surgery-related and hospital characteristics.

Methods: Data extracted from Chinese National Health Statistics Network Reporting System database in Hunan, China during 2017-2019 were analyzed using quantile regression models.

Results: A total of 6,420 OC patients undergoing surgery were identified.

Understanding variations and influencing factors on length of stay for T2DM patients based on a multilevel model.

Aim: Shortening the length of stay (LOS) is a potential and sustainable way to relieve the pressure that type 2 diabetes mellitus (T2DM) patients placed on the public health system.

Method: Multi-stage random sampling was used to obtain qualified hospitals and electronic medical records for patients discharged with T2DM in 2018. A box-cox transformation was adopted to normalize LOS.

Risk of Metformin in Patients With Type 2 Diabetes With COVID-19: A Preliminary Retrospective Report.

The current outbreak of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has spread across the world. No specific antiviral agents have been adequately evidenced for the treatment of coronavirus disease 2019 (COVID-19). Although metformin has been recommended as a host-directed therapy for COVID-19, there are some opposite views.

PML overexpression inhibits proliferation and promotes the osteogenic differentiation of human mesenchymal stem cells.

The promyelocytic leukemia (PML) gene, as an important tumor-suppressor, has been proven to regulate stem cell function in multiple tissues; however its role in human mesenchymal stem cells (hMSCs) remains unclear. In the present study, the effect of PML on regulating the proliferation and osteogenic differentiation of hMSCs was explored. New downstream genes that may be responsible for the regulation of PML were found, and possible mechanisms were analyzed.

[Study on matrine alleviating retinoic acid resistance in acute promyelocytic leukemia].

Objective: To explore the role of matrine (MAT) alleviating all-trans retinoic acid (ATRA) resistance in acute promyelocytic leukemia (APL) and its mechanism.

Methods: ATRA sensitive strain of APL (NB4) and resistant strain (NB4-R1, NB4-R2) were used in this study. The low toxic dosage of MAT was established by MTT test, and ATRA IC(50) of the cell strains (cultured with or without 0.