A systematic review and meta-analysis: pulmonary mycosis pathogen distribution.

BACKGROUND: This study sought to systematically evaluate the distribution characteristics and high-risk factors of pulmonary mycosis pathogens, and provide evidence for the clinical treatment and prognosis of patients with pulmonary mycosis. METHODS: The Embase, Ovid, PubMed, Medline, and Springer databases were searched to find publications on the distribution characteristics and high-risk factors of pulmonary mycosis pathogens that had been published between the establishment of the databases and April 1, 2021. The Cochrane Handbook 5.0.2 was used to evaluate the risk of bias of the articles included in this study, and Review Manager 5.3 was used to conduct a meta-analysis of the included articles. RESULTS: Eleven articles were included in this study, comprising 6,415 subjects. The meta-analysis results showed that pathogen infection significantly increased the mortality of patients [MD =2.67; 95% confidence interval (CI): (1.52, 4.68); Z=3.43; P=0.0006]. Patient age was significantly correlated with the incidence of pulmonary mycosis [MD =1.21; 95% CI: (0.78, 1.86); Z=0.84; P=0.40]. The use of antibiotics was significantly correlated to the incidence of pulmonary mycosis [MD =1.41; 95% CI: (1.15, 1.72); Z=3.30; P=0.001]. Glucocorticoid use was significantly correlated to the incidence of pulmonary mycosis [MD =1.81; 95% CI: (1.13, 2.91); Z=2.45; P=0.01]. However, gender had no obvious correlation with the incidence of pulmonary mycosis [MD =1.21; 95% CI: (0.78, 1.86); Z=0.84; P=0.40]. Further, no correlation was found between smoking history and the incidence of pulmonary mycosis [MD =0.86; 95% CI: (0.51, 1.45); Z=0.57; P=0.57]. DISCUSSION: The main types of bacterial infections in patients with pulmonary mycosis were Pseudomonas aeruginosa, Haemophilus influenzae, Streptococcus pneumoniae, Candida albicans, and Helicobacter pylori. In addition to the lungs, pathogens were found to be distributed in the intestines, urinary tract, and digestive tract. Additionally, patient age, antibiotic use, and glucocorticoid use increased the incidence of pulmonary mycosis. Thus, these factors should be paid attention to in the clinical treatment of patients with pulmonary mycosis.

Prediction of Overall Survival in Gastric Cancer Using a Nine-lncRNA.

Long noncoding RNA (lncRNA) was closely attached to various cancers according to previous studies. In this study we aimed to investigate an lncRNA signature with prognostic value of over survival (OS) outcomes of gastric cancer (GC). Profiles of mRNAs expression and clinical information of 381 GC tissues and 32 nontumor gastric tissues were downloaded from The Cancer Genome Atlas database. Comparison of various lncRNA expression between cancer tissue and normal tissue was made among these data. In the end, a nine-lncRNA signature was discovered using univariate and multivariate Cox regression analyses, with a prospect possibility of the OS in GC patients. Receiver operating characteristic (ROC) was used to evaluate the accuracy of survival model. The gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were used to predict the possible functions and pathways of these lncRNAs. Altogether 720 distinctively expressed lncRNAs were selected between GC and normal tissues. By univariate and multivariate Cox regression analyses, nine lncRNAs were eventually filtered to set a predictive model, distributing patients into high-risk and low-risk groups with extraordinary different OS. Area under the curve of the ROC curve for the nine-lncRNA signature's prediction of 5-year OS was 0.795. Further functional enrichment analyses indicated that these lncRNAs may be associated with biological processes such as protein binding, DNA replication, and cell cycle. Our study identified a nine-lncRNA signature, which could act as a potential prognostic biomarker in the prediction of GC patients' OS.