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1.
Epidemiol Infect ; 149: e22, 2021 01 05.
Article in English | MEDLINE | ID: mdl-33397522

ABSTRACT

The prognostic factor for in-hospital mortality in tuberculosis (TB) patients requiring intensive care unit (ICU) care remains unclear. Therefore, a retrospective study was conducted aiming to estimate the in-hospital mortality rate and the risk factors for mortality in a high-burden setting. All patients with culture-confirmed TB that were admitted to the ICU of the hospital between March 2012 and April 2019 were identified retrospectively. Data, such as demographic characteristics, comorbidities, laboratory measures and mortality, were obtained from medical records. The Cox proportional hazards regression model was used to identify prognostic factors that influence in-hospital mortality. A total of 82 ICU patients with confirmed TB were included in the analysis, and 22 deaths were observed during the hospital stay, 21 patients died in the ICU. In the multivariable model adjusted for sex and age, the levels of serum albumin and white blood cell (WBC) count were significantly associated with mortality in TB patients requiring ICU care (all P < 0.01), the hazard ratios were 0.8 (95% confidence interval (CI): 0.7-0.9) per 1 g/l and 1.1 (95% CI: 1.0-1.2) per 1 × 109/l, respectively. In conclusion, in-hospital mortality remains high in TB patients requiring ICU care. Low serum albumin level and high WBC count significantly impact the risk of mortality in these TB patients in China.


Subject(s)
Intensive Care Units , Tuberculosis, Pulmonary/mortality , Adult , Aged , China/epidemiology , Female , Humans , Male , Middle Aged , Proportional Hazards Models , Retrospective Studies , Risk Factors , Tuberculosis, Pulmonary/epidemiology
2.
Future Oncol ; 17(35): 4907-4923, 2021 Dec.
Article in English | MEDLINE | ID: mdl-34751593

ABSTRACT

Aims: HOX clusters encode proteins that play pivotal roles in regulating transcription factors and many other proteins during embryogenesis. However, little is known about the diagnostic and prognostic values of HOXC family members in gastric cancer (GC). Materials and methods: The authors evaluated the data in patients with GC based on bioinformatics analysis. Results: HOXC6/8/9/10/11/13 were overexpressed in GC and associated with a poor prognosis. HOXC4/5 were downregulated in GC tissues. Receiver operating characteristic curve analysis demonstrated that they have high diagnostic value. In addition, HOXC4/5/6/9/10/11/13 were negatively correlated with DNA methylation level. The gene set enrichment analysis results implied that they play essential roles in multiple biological processes underlying tumorigenesis. Conclusion: HOXC family members are potential targets for diagnosis and may work as prognostic biomarkers of GC.


Lay abstracts Gastric cancer (GC) remains one of the most common malignant tumors of the digestive system and the third most common cause of death from cancer. Since GC is usually diagnosed at an advanced stage, despite advances in comprehensive treatment strategies, its mortality rate is still very high. GC is a disease that is highly heterogeneous in terms of genotype and phenotype. Therefore, a more complete understanding of the molecular mechanism of GC carcinogenesis and identification of reliable molecular targets for the diagnosis and prognosis of GC are highly valued. It is well known that the HOXC gene family expression is upregulated in most solid tumor types, such as lung cancer, colon cancer and prostate cancer. The authors explore the role of the HOXC gene family in GC. Results demonstrated that HOXC family members are potential targets for diagnosis and may work as prognostic biomarkers of GC.


Subject(s)
Biomarkers, Tumor , Homeodomain Proteins/genetics , Multigene Family , Stomach Neoplasms/genetics , Stomach Neoplasms/mortality , Carcinogenesis/genetics , Computational Biology/methods , DNA Methylation , Databases, Genetic , Disease Susceptibility , Epigenomics , Gene Expression Profiling , Gene Expression Regulation, Neoplastic , Homeodomain Proteins/metabolism , Humans , Kaplan-Meier Estimate , Prognosis , Protein Interaction Mapping , Protein Interaction Maps , Stomach Neoplasms/diagnosis , Stomach Neoplasms/metabolism , Transcriptome
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