1.Analysis of Surgical Treatment Outcomes in 709 Cases of Infective Endocarditis
Chaoji ZHANG ; Zining WU ; Xingrong LIU ; Guotao MA ; Shangdong XU ; Jianzhou LIU ; Sheng YANG ; Yanxue ZHAO ; Xinpei LIU ; Xiaocui WANG ; Xiaojun MA ; Ligang FANG ; Chunhua YU ; Huaiwu HE ; Qi MIAO ; Jun ZHENG
Medical Journal of Peking Union Medical College Hospital 2025;17(1):197-203
To review the clinical characteristics, short-term outcomes, and risk factors of patients with infective endocarditis(IE) who underwent surgical treatment at a single center, and to summarize treatment experience. Consecutive patients diagnosed with IE who underwent cardiac surgery at the Department of Cardiac Surgery, Peking Union Medical College Hospital between May 2012 and June 2024 were enrolled. Statistical analyses were performed on their baseline characteristics, comorbidities, IE predisposing factors, surgical indications, pathogen distribution, surgical strategies, short-term outcomes, and associated risk factors. A total of 709 IE patients meeting the inclusion and exclusion criteria were included. IE involved left-sided valves in 85.3% of cases. The median age was 48(35, 58) years, and 68.0% were male. Prosthetic valve endocarditis accounted for 8.7%. Patients with left-sided IE had a higher prevalence of comorbidities. Streptococcus was the causative pathogen in 43.2% of patients, while right-sided IE was more frequently associated with Significant differences in pathogen distribution were observed between patients with left-sided and right-sided IE. Heart failure was identified as an independent risk factor for both perioperative mortality and adverse outcomes in surgically treated patients. Through strict timing of surgical intervention and optimized perioperative management, surgical treatment may effectively reduce mortality and improve prognosis in patients with IE.
2.Study on chemical composition difference and analgesic effect of Paeonia lactiflora before and after being processed with wine
Jinhua HU ; Lili WENG ; Yanxue WU ; Tianli CHEN
China Pharmacy 2022;33(22):2738-2742
OBJECTIVE To investigate the chemical composition difference of Paeonia lactiflora before and after being processed with wine and its analgesic effect. METHODS UPLC-Q-TOF-MS was used to analyze the chemical composition of P. lactiflora before and after being processed with wine. Wister rats were randomly divided into blank group, model group, positive control group (ibuprofen 0.072 mg/g) and P. lactiflora low-dose and high-dose groups (0.005, 0.01 mg/g, by raw material) and P. lactiflora stir-baked with wine low-dose and high-dose groups (0.005, 0.01 mg/g, by raw material), with 6 rats in each group; the dysmenorrhea model of rats was induced by estradiol benzoate combined with oxytocin; the incubation period of body twisting in rats was recorded after the last medication; the contents of prostaglandin F2α(PGF2α), progesterone, nitric oxide (NO) and β -endorphin in uterine tissue homogenate were detected. RESULTS Same 60 chemical compositions were identified in both positive and negative ion modes of P. lactiflora and P. lactiflora stir-baked with wine. The contents of 7 compositions, such as linalool, pedunculagin and syringic acid, were increased after stir-baked with wine, but the contents of other compositions were decreased. Compared with model group, the incubation period of body twisting in all administration groups (except for P. lactiflora low-dose group) was significantly prolonged (P<0.05); PGF2α in uterine tissue homogenate (except for P. lactiflora low-dose group) was significantly decreased; the contents of progesterone (except for P. lactiflora low-dose and high-dose groups), NO (except for P. lactiflora low-dose and high-dose groups) and β-endorphin were significantly increased (P<0.05). CONCLUSIONS The analgesic effect of P. lactiflora stir-baked with wine on dysmenorrhea model rats is better than that of P. lactiflora, which may be related to the increase of 7 compositions such as linalool, pedunculagin and syringic acid after stir-baked with wine.
3.Optimization of Processing Technology of Paeonia lactiflora Stir-baked with Wine and Investigation of Its Anticoagulant Effect
Yanxue WU ; Tianli CHEN ; Xiaolin HOU ; Yan YAN ; Jing FANG ; Mengcong WANG ; Lili WENG
China Pharmacy 2021;32(21):2613-2618
OBJECTIVE:To optimize the processing technology of Paeonia lactiflora stir-baked with wine ,and to investigate its in vitro anticoagulant effect. METHODS :The weight coefficient of each index was determined and the comprehensive score was calculated with analytic hierarchy process (AHP),Criteria Importance Though Intercrieria Correlation (CRITIC)and AHP-CRITIC weighting method ,using the contents of oxypaeoniflorin ,albiflorin,paeoniflorin,benzoic acid and water-soluble extract as index. Box-Behnken response surface methodology was used to optimize the parameters of P. lactiflora stir-baked with wine ,such as moistening time ,frying time and frying temperature. Then in vitro anticoagulant experiment was used to investigate the pharmacodynamics of P. lactiflora stir-baked with wine prepared according to the optimal processing technology. RESULTS :The weight coefficients of albiflorin ,oxypaeoniflorin,paeoniflorin,benzoic acid and water-soluble extract determined by AHP-CRITIC weighting method were 0.233 9,0.131 7,0.183 3,0.078 9,0.372 3,respectively;the optimal processing technology of P. lactiflora stir-baked with wine included moistening time of 35 min,frying time of 20 min and frying temperature of 120 ℃. The results of in vitro anticoagulant test showed that P. lactiflora and P. lactiflora stir-baked with wine could significantly prolong the time of thrombin time ,prothrombin time ,activated partial thrombin time of plasma ;the effects of P. lactiflora stir-baked with wine were significantly better than those of P. lactiflora (P<0.05). CONCLUSIONS :The optimized processing technology of P. lactiflora stir-baked with wine is stable and feasible. The in vitro anticoagulant effect of P. lactiflora stir-baked with wine prepared by this tehcnology is better than that of raw products.

Result Analysis
Print
Save
E-mail