1.Establishment and verification of a prediction model of venous thromboembolism in elderly patients with urinary system calculi after endoscopic surgery
Songlin CHEN ; Jun QU ; Cong HUANG ; Jinzhu XIAO
Journal of Modern Urology 2024;29(5):427-431
Objective To analyze the risk factors of venous thromboembolism(VTE)after endoscopic surgery in elderly patients with urinary system calculi,construct a prediction model and validate it.Methods A retrospective analysis was conducted on the clinical data of 402 elderly patients(≥ 60 years)with urinary system calculi who underwent endoscopic surgery in our hospital during Jan.2018 and Jan.2023.The patients were divided into VTE group(n=43)and non-VTE group(n=359)based on whether VTE occurred after surgery.Risk factors of VTE were screened with univariate and multivariate logistic regression analyses.Based on the screening results(P<0.05 for the factor),a nomogram prediction model was established,the receiver operating characteristic(ROC)curve was drawn,the area under the curve(AUC)was calculated to determine the efficacy of the model,and a calibration chart was drawn to determine the accuracy of the model.Results Univariate analysis showed that age>70 years,body mass index(BMI)≥30,VTE history,history of malignant tumors,diabetes,operation time>180 min,diuretic use during operation,and postoperative ambulation time>24 h were risk factors of VTE(P<0.05).Logistic regression analysis showed that age>70 years,BMI ≥ 30,history of VTE,history of malignant tumors,and operation time>180 min were independent risk factors of VTE(P<0.05).The AUC in the ROC curve of the validation set data was 0.789(95%CI:0.731-0.848,P<0.001).The calibration chart showed that the calibration curve was close to the standard curve(Brier=0.13).Conclusion Age>70 years,BMI ≥30,history of VTE,history of malignant tumors,and surgery time>180 min are independent risk factors of postoperative VTE in elderly patients with urinary system calculi undergoing endoscopic surgery.The prediction model can effectively predict the risk factors of postoperative VTE.
2.Professor CAO Hongxin's Experience in Syndrome Differentiation and Treatment of Allergic Rhinitis
Yipin FAN ; Songlin QU ; Huamin ZHANG ;
Journal of Traditional Chinese Medicine 2024;65(23):2404-2407
To summarize the experience of Professor CAO Hongxin in syndrome differentiation and treatment of allergic rhinitis. Based on the clinical and pathological characteristics of allergic rhinitis, it is believed that its main pathogenesis is zang-fu organs deficiency or retention of latent pathogens, and affected by external pathogens, resulting in a decrease in the body's adaptability to the external environment, so the body showed as healthy qi deficiency and pathogenic qi excess, accumulation of pathogens in the nasal cavity, and unfavorable clearing of the cavity, leading to allergic rhinitis. In clinic, it is often divided into three syndromes for treatment: deficiency of lung and spleen qi, and disharmony between ying and wei qi; kidney deficiency and lung heat, and wind pathogen invading the lungs; liver and gallbladder stagnation and heat, and wind pathogen attacking the exterior. The prescriptions were recommended to apply Yupingfeng Powder (玉屏风散) plus Guizhi Decoction (桂枝汤), self-prescribed Jingfang Guishao Dihuang Decoction (荆防桂芍地黄汤), and modified Qingkong Decoction (清空汤), respectively.
3.Advances in therapeutic drug monitoring methods based on liquid chromatography-tandem mass spectrometry
Ziying LI ; Jie XIE ; Ziyu QU ; You JIANG ; Di ZHANG ; Songlin YU ; Xiaoli MA ; Ling QIU ; Xinhua DAI ; Xiang FANG ; Xiaoping YU
Chinese Journal of Laboratory Medicine 2024;47(3):332-340
Liquid chromatography-tandem mass spectrometry (LC-MS/MS) technology has the characteristics of high specificity and high throughput, making it rapidly applied and developed in the field of clinical testing. Its application in the monitoring of therapeutic drugs can effectively improve the quantitative accuracy and sensitivity, and formulate a personalized and optimal dosing plan for patients. However, this technology still faces some challenges, and automation, quality control, and quantitative traceability will be the future development direction.