Breaking new ground: machine learning enhances survival forecasts in hypercapnic respiratory failure.

Background: The prognostic prediction of patients with hypercapnic respiratory failure holds significant clinical value. The objective of this study was to develop and validate a predictive model for predicting survival in patients with hypercapnic respiratory failure.

Methods: The study enrolled a total of 697 patients with hypercapnic respiratory failure, including 565 patients from the First People's Hospital of Yancheng in the modeling group and 132 patients from the People's Hospital of Jiangsu Province in the external validation group.

A novel microRNA miR-4433a-3p as a potential diagnostic biomarker for lung adenocarcinoma.

Background: Lung adenocarcinoma is one of the leading causes of cancer-related deaths because of the lack of early specific clinical indicators. MicroRNAs (miRNAs) have become the focus in lung cancer diagnosis. Further studies are required to explore miRNA expression in the serum of lung adenocarcinoma patients and their correlation with therapy and analyse specific messenger RNA targets to improve the specificity and sensitivity of early diagnosis.

Development and validation of a prospective study to predict the risk of readmission within 365 days of respiratory failure: based on a random survival forest algorithm combined with COX regression modeling.

Background: There is a need to develop and validate a widely applicable nomogram for predicting readmission of respiratory failure patients within 365 days.

Methods: We recruited patients with respiratory failure at the First People's Hospital of Yancheng and the People's Hospital of Jiangsu. We used the least absolute shrinkage and selection operator regression to select significant features for multivariate Cox proportional hazard analysis.

Associations between short-term exposure to fine particulate matter and acute exacerbation of asthma in Yancheng, China.

Scarce evidence existed on the association between short-term exposure to fine particulate matter (PM) and asthma in China. In this study, we aimed to explore the relationship of PM with acute asthma exacerbation in a coastal city of China. Cases of acute asthma exacerbation were identified from hospital outpatient visits in Yancheng, China, from 2015 to 2018.