Characteristics of lower respiratory tract pathogens in critically ill patients with heatstroke: a retrospective multi-center study.

This retrospective multicenter study was conducted across 83 intensive care units (ICUs) in 16 cities in Sichuan, China. Critically ill patients diagnosed with heatstroke and lung infections were included in the study. Specimens from the lower respiratory tract were collected for microbiological testing, and the characteristics of the pathogens were described.

Heatstroke: a multicenter study in Southwestern China.

Background: An increase in Heatstroke cases occurred in southwest China in 2022 due to factors like global warming, abnormal temperature rise, insufficient power supply, and other contributing factors. This resulted in a notable rise in Heatstroke patients experiencing varying degrees of organ dysfunction. This descriptive study aims to analyze the epidemiology and clinical outcomes of Heatstroke patients in the ICU, providing support for standardized diagnosis and treatment, ultimately enhancing the prognosis of Heatstroke.

Risk Factor Analysis and Nomogram for Predicting In-Hospital Mortality in ICU Patients with Heat Stroke: A National Multicenter Study.

Objective: The aim of this nationwide multicenter study was to ascertain the risk factors associated with in-hospital mortality in patients with heat stroke admitted to intensive care units (ICUs) and to develop a nomogram for prognostic prediction.

Methods: A retrospective analysis was conducted on clinical data collected from ICU patients diagnosed with heat stroke across multiple centers nationwide. Univariate and multivariate logistic regression analyses were performed to identify significant risk factors for in-hospital mortality.

Albumin Corrected Anion Gap and the Risk of in-Hospital Mortality in Patients with Acute Pancreatitis: A Retrospective Cohort Study.

Purpose: To explore the prognostic value of albumin corrected anion gap (ACAG) within 24 hours of admission to the intensive care unit (ICU) for acute pancreatitis (AP).

Patients And Methods: This was a retrospective cohort study. Adult AP patients admitted to ICU from June 2016 to December 2019 were included in the study, who were divided into three groups according to initial serum ACAG within 24 hours upon ICU admission: ACAG ≤ 14.

CONUT score is associated with short-term prognosis in patients with severe acute pancreatitis: a propensity score matching cohort study.

Background: The Controlling Nutritional Status (CONUT) score was designed to assess the immune-nutritional status in patients. This study aimed to investigate the role of the CONUT score in the short-term prognosis of severe acute pancreatitis.

Methods: This was a retrospective cohort study.

[Introduction on a forecasting model for infectious disease incidence rate based on radial basis function network].

It is important to forecast incidence rates of infectious disease for the development of a better program on its prevention and control. Since the incidence rate of infectious disease is influenced by multiple factors, and the action mechanisms of these factors are usually unable to be described with accurate mathematical linguistic forms, the radial basis function (RBF) neural network is introduced to solve the nonlinear approximation issues and to predict incidence rates of infectious disease. The forecasting model is constructed under data from hepatitis B monthly incidence rate reports from 1991-2002.

[Study on the factors influencing the quality of life among patients with malignant lymphoma].

Objective: To measure and assess the quality of life (QOL) and to explore the influencing factors on patients with malignant lymphoma.

Methods: QOL of 110 patients with malignant lymphoma were marked using EORTC QLQ-C30 short form, and multiple linear regression models were used to study the main factors influencing the QOL of patients with malignant lymphoma on five functional scales (physical, role, cognitive, emotional, and social) and the total scores.

Results: The influencing factors of quality of life on patients with malignant lymphoma appeared to be: history of relapse, refraining from smoking, older age, educational level, space for living, exercises, medical care system, and available health care programs.

[Study on the relations between serum insulin-like growth factor-1, insulin-like growth factor binding protein-3 and colorectal cancer: a meta-analysis].

Objective: To evaluate the relationship between circulating levels of insulin-like growth factor-1 (IGF-1), IGF-binding protein-3 (IGFBP-3) and colorectal cancer.

Methods: A meta-analysis of 6 epidemiological studies on insulin-like growth factors and risk of colorectal cancer were performed.

Results: The pooled odds ratio (OR) of IGF-1 and IGFBP-3 were 1.

[Study on the application of artificial neural network on diabetes mellitus/insulin-glucose tolerance classification].

Objective: To discuss the potential application of artificial neural network (ANN) on the epidemiological classification of disease.

Methods: Learning vector quantification neural network (LVQNN) and discriminate analysis were applied to data from epidemiological survey in a mine in 1996.

Results: The structure of LVQNN was 25-->13-->3.