1.Clinical efficacy of polymyxin B in combination with tigecycline in pneumonia caused by pan-drug resistant Klebsiella pneumoniae
Dibin LI ; Qianqian HAO ; Hairui LINGHU ; Huajiang DONG ; Yue TU
International Journal of Biomedical Engineering 2022;45(1):31-35
Objective:To investigate the clinical efficacy of injectable polymyxin B combined with tigecycline in pneumonia caused by pan-drug resistant Klebsiella pneumonia (PDR-KP). Methods:The retrospective analysis utilized clinical data of 71 patients with PDR-KP admitted to the Neurointensive Care Unit of Beijing Chaoyang Integrative Medicine Emergency Medical Center between September 2018 and August 2021. All patients received injectable polymyxin B combined with tigecycline. The response rate, bacterial clearance rate, and safety of this therapeutic option were evaluated according to the clinical symptoms and biochemical parameters before treatment (baseline), 7 days after the treatment, and at the end of the treatment.Results:The treatment time of 71 patients ranged from 8 to 14 days, with an average of 11 days. The symptoms, signs, laboratory tests, and chest CT findings of most patients significantly improved after the treatment using polymyxin B combined with tigecycline. On the 7th day after the treatment, 37 patients were clinically effective, with a total effective rate of 52.1%(37/71); 41 patients obtained bacteriological clearance, with a bacterial clearance rate of 57.7%(41/71). At the end of treatment, 51 patients were clinically effective, with a total effective rate of 71.8%(51/71); 56 patients obtained bacteriological clearance, with a bacterial clearance rate of 78.9%(56/71). Compared with the results on the 7th day after the treatment, the total effective rate ( χ2=5.86, P=0.016) and bacterial clearance rate ( χ2=7.32, P=0.007) of patients at the end of treatment were significantly increased. Skin pigmentation occurred in 39.4%(28/71) of patients during the treatment. Conclusions:Polymyxin B combined with tigecycline can be tried as a treatment option for pneumonia caused by PDR-KP, but more reliable clinical evidence is still needed.
2.Nomgram model for individual prediction of coronary heart disease with pulmonary hypertension
Hongmei LI ; Dibin WANG ; Xiaoqin WENG
Journal of Public Health and Preventive Medicine 2024;35(1):89-92
Objective To establish an individual Nomgram model for predicting the risk of coronary heart disease complicated with pulmonary hypertension. Methods From January 2017 to December 2021 , 352 patients with coronary heart disease (CHD) complicated with pulmonary hypertension in our hospital were selected, and 352 patients with coronary heart disease but without pulmonary hypertension were selected as the control group. The clinical baseline data of the two groups were analyzed first, and then logistics multivariate analysis was performed. To explore the risk factors of coronary heart disease complicated with pulmonary hypertension, the Nomgram model was established to predict the risk, and the predictive value of the model was tested by receiver characteristic curve (ROC). Results Logistics multivariate analysis showed that alcoholism, smoking, stroke history, hypertension course, CHD course, PASP, HCT, PaCO2, D-dimer, NIHSS score and low PaO2 were all independent risk factors for CHD complicated with pulmonary hypertension. Nomgram model prediction results for patients with coronary heart disease showed that Alcohol abuse, smoking, stroke history, duration of hypertension (5.66 years), duration of coronary heart disease (2.12 years), NIHSS (12.33 points), PASP (75.22mmHg), HCT (33.22%), PaCO2 (56.11mmHg), D-dimer (255.12μg/L), PaO2 (56.22mmHg) is a risk factor for coronary heart disease complicated with pulmonary hypertension. ROC curve showed that the area under the prediction curve of Nomgram model for coronary heart disease complicated with pulmonary hypertension was 0.675. Conclusion Nomgram model can predict pulmonary hypertension in patients with coronary heart disease to a certain extent.