Xingang Hu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Xingang Hu has a total of 17 co-authors. Here are the top co-authors by number of shared publications:
- Xiaoming Liu
Zhongyuan University of Technology
2 shared publications Aojun Zhang
Zhongyuan Univ Technol, Sch Comp Sci, Zhengzhou 450007, Peoples R China
1 shared publication- Bao Liu1 shared publication
Di Zhang
Zhongyuan Univ Technol, Sch Comp Sci, Zhengzhou 450007, Peoples R China
1 shared publicationDongqing Jia
Kaifeng Univ, Med Dept, Kaifeng 475004, Peoples R China
1 shared publicationFan Cao
1 shared publication
Latest Publications
- Open Access
Estrogen upregulates NR4A1 to counter TGF beta induced pulmonary fibrosis therapeutic insights for IPF
- Open Access
- 18 December 2024
- Published by Springer Nature in BMC Pulmonary Medicine
- Vol. 24 (1) , 621
Antibiotics versus Non-Antibiotic in the treatment of Aspiration Pneumonia: analysis of the MIMIC-IV database
Background Aspiration pneumonia (AP) is a common complication in the intensive care unit (ICU), which is associated with significantly increased morbidity and mortality and has a significant impact on patient prognosis. Antibiotics are commonly used in the clinical treatment of AP. However, the prognostic impact of antibiotics on patients with AP has not been adequately characterized. The purpose of this study is to illustrate the relationship between the use of antibiotics and in-hospital mortality of AP patients, as well as to analyze the effects of different antibiotic treatment regimens on the prognosis of the patients, and to further understand the distribution of pathogens and drug resistance in AP patients, so as to provide guidance information for the rational use of medication for patients in the clinic. Methods Clinical data of AP patients were extracted from the MIMIC-IV database. Statistical methods included multivariate logistic regression, propensity score matching (PSM), and inverse probability weighting (IPW) based on propensity scores to ensure the robustness of the findings. In addition, the characteristics of the medications used by patients with AP were described using statistical graphs and tables. Results A total of 4132 patients with AP were included. In-hospital mortality was significantly lower in the group using antibiotics compared to the group not using antibiotics (odds ratio [OR] = 0.44, 95% confidence interval [CI] 0.27- 0.71, P = 0.001). Furthermore, in the group using mechanical ventilation (MV), antibiotics use significantly reduced in-hospital mortality (OR = 0.30, 95% CI 0.15-0.57, P < 0.001). Vancomycin and cephalosporins are the most commonly used antibiotics to treat AP. Specifically, vancomycin in combination with piperacillin-tazobactam was used most frequently with 396 cases. The highest survival rate (97.6\%) was observed in patients treated with levofloxacin combined with metronidazole. Additionally, vancomycin combined with piperacillin-tazobactam had many inflammation related features that differed significantly from those in patients who did not receive medication. Conclusions Antibiotics use is closely associated with lower in-hospital mortality in ICU patients with AP. Moreover, understanding antibiotics use, the composition of pathogenic bacteria, and the rates of drug resistance in patients with AP can aid in disease prevention and prompt infection control.
- 18 December 2024
- Published by Springer Nature in BMC Pulmonary Medicine
- Vol. 24 (1) , 621
Open AccessAntibiotics versus Non-Antibiotic in the treatment of Aspiration Pneumonia: analysis of the MIMIC-IV database
Background Aspiration pneumonia (AP) is a common complication in the intensive care unit (ICU), which is associated with significantly increased morbidity and mortality and has a significant impact on patient prognosis. Antibiotics are commonly used in the clinical treatment of AP. However, the prognostic impact of antibiotics on patients with AP has not been adequately characterized. The purpose of this study is to illustrate the relationship between the use of antibiotics and in-hospital mortality of AP patients, as well as to analyze the effects of different antibiotic treatment regimens on the prognosis of the patients, and to further understand the distribution of pathogens and drug resistance in AP patients, so as to provide guidance information for the rational use of medication for patients in the clinic. Methods Clinical data of AP patients were extracted from the MIMIC-IV database. Statistical methods included multivariate logistic regression, propensity score matching (PSM), and inverse probability weighting (IPW) based on propensity scores to ensure the robustness of the findings. In addition, the characteristics of the medications used by patients with AP were described using statistical graphs and tables. Results A total of 4132 patients with AP were included. In-hospital mortality was significantly lower in the group using antibiotics compared to the group not using antibiotics (odds ratio [OR] = 0.44, 95% confidence interval [CI] 0.27- 0.71, P = 0.001). Furthermore, in the group using mechanical ventilation (MV), antibiotics use significantly reduced in-hospital mortality (OR = 0.30, 95% CI 0.15-0.57, P < 0.001). Vancomycin and cephalosporins are the most commonly used antibiotics to treat AP. Specifically, vancomycin in combination with piperacillin-tazobactam was used most frequently with 396 cases. The highest survival rate (97.6\%) was observed in patients treated with levofloxacin combined with metronidazole. Additionally, vancomycin combined with piperacillin-tazobactam had many inflammation related features that differed significantly from those in patients who did not receive medication. Conclusions Antibiotics use is closely associated with lower in-hospital mortality in ICU patients with AP. Moreover, understanding antibiotics use, the composition of pathogenic bacteria, and the rates of drug resistance in patients with AP can aid in disease prevention and prompt infection control.
- 18 October 2024
- Published by Elsevier in Neurocomputing
- Vol. 613
Causal-relationship representation enhanced joint extraction model for elements and relationships
- 18 October 2024
- Published by Elsevier in Neurocomputing
- Vol. 613
Causal-relationship representation enhanced joint extraction model for elements and relationships