1.Influencing factors of urinary tract infection after transurethral bipolar plasma enucleation of the prostate in patients with benign prostatic hyperplasia and the early predictive value of serum inflammatory indicators for postoperative urinary tract infection
Yingming PENG ; He ZHENG ; Lijie YUAN ; Yinggen ZHANG ; Wen KONG ; Jiayue TIAN ; Yanhe CHANG
International Journal of Surgery 2025;52(2):123-130
Objective:To analyze the influence factors of urinary tract infection after transurethral bipolar plasma enucleation of the prostate (TUPEP) in patients with benign prostatic hyperplasia(BPH), and the early predictive value of serum inflammatory indicators for postoperative urinary tract infection.Methods:A total of 300 patients with BPH who received TUPEP treatment in the Department of Urology, Kailuan General Hospital from January 2021 to August 2023 were selected, according to whether they had urinary tract infections after the operation, they were divided into infection group ( n=117) and non-infection group ( n=183). The clinical data of the two groups were collected, and the serum inflammatory indexes of the two groups were recorded within 24 hours after the operation, including white blood cell count (WBC), neutrophil granulocyte (NE%), high-sensitivity C-reactive protein (hs-CRP), serum amyloid A (SAA), procalcitonin (PCT), heparin-binding protein (HBP), interleukin-2 (IL-2), interleukin-4 (IL-4), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), and serum ferritin (SF). The differences of clinical data and serum inflammatory indexes between the two groups were analyzed. The measurement data of normal distribution were expressed as mean ± standard deviation ( ± s), and independent sample t-test was used for inter-group comparisons. The measurement data of non- normal distribution were represented by median (interquartile range) [ M ( Q1, Q3)], and the Mann-Whitney U test was used for inter-group comparison. The count data were expressed as cases and percentage, and inter-group comparisons were conducted using the Chi-test. Multivariate Logistic regression analysis was used to explored the influencing factors of urinary tract infections in BPH patients after TUPEP surgery. The receiver operating characteristic (ROC) curve was plotted using GraphPad Prism 8.0.1 medical plotting softwar to evaluate the predictive value of serum inflammatory markers and combined detection of multiple markers for early postoperative urinary tract infections. Results:The duration of disease, history of diabetes, international prostate symptom score (IPSS), prostate volume, preoperative serum prostate-specific antigen (PSA) level, preoperative urine residual volume, operation time, intraoperative blood loss, postoperative catheter indwelling time, and hospitalization time in the infection group were higher than those in the non-infection group ( P<0.05). The preoperative 25-hydroxyvitamin D (25OHD) level and maximum urinary flow rate were lower in the infection group than those in the non- infection group ( P<0.05). Multivariate Logistic regression analysis showed that the course of the disease, history of diabetes, IPSS score, prostate volume, preoperative PSA level, preoperative urine residual volume, operation time, intraoperative blood loss, postoperative catheter indwelling time was positively correlated with urinary tract infection after TUPEP ( B=0.660, 0.242, 0.164, 0.125, 0.230, 0.066, 0.382, 0.022, 0.436, P<0.01), and preoperative 25OHD level and preoperative maximum urinary flow rate were negatively correlated with urinary tract infection after TUPEP ( B=-0.216, -0.372, P<0.01). The levels of hs-CRP, SAA, PCT, HBP, IL-2, IL-4, IL-6, IL-8, IL-10, TNF-α, IFN-γ, SF in the infection group were higher than those in the non-infection group ( P<0.001). The ROC curve analysis showed that the area under the curve (AUC) of hs-CRP, SAA, PCT, HBP, IL-2, IL-4, IL-6, IL-8, IL-10, TNF-α, IFN-γ, SF in early predicting urinary tract infection after TUPEP in BPH patients were 0.697, 0.775, 0.902, 0.873, 0.884, 0.904, 0.917, 0.823, 0.906, 0.852, 0.807, 0.787. The AUC of the combined detection of multiple serum inflammatory markers was 0.972, the sensitivity and specificity were 93.18% and 96.63%, and the sensitivity and specificity of the combined detection of multiple serum inflammatory markers were higher than those of separate detection. Conclusion:The course of BPH, whether to combine history of diabetes, preoperative IPSS score, prostate volume, preoperative PSA level, preoperative 25OHD level, preoperative maximum urinary flow rate, operation time, intraoperative blood loss, and postoperative catheter indwelling time are influencing factors of urinary tract infection after TUPEP, hs-CRP, SAA, PCT, HBP, IL-2, IL-4, IL-6, IL-8, IL-10, TNF-α, IFN-γ, SF had certain value in the early prediction of urinary tract infection after TUPEP in patients with BPH, the combination of multiple indicators can improve the predictive value of early urinary tract infection.
2.Effect of selenium supplementation on 10-year survival rate of chronic Keshan disease
Zhengjun YANG ; Xianni GUO ; Chan LIU ; Hong CHANG ; Yanhe ZHU
Chinese Journal of Endemiology 2022;41(11):894-897
Objective:To observe the effect of selenium supplementation on 10-year survival rate of chronic Keshan disease (KD).Methods:The 10-year follow-up data of 302 patients with chronic KD at the KD surveillance sites in Shaanxi Province were collected from the Shaanxi Institute for Endemic Disease Control and Research and Xi'an Jiaotong University, 170 (56.3%) cases were given selenium supplementation (oral administration of sodium selenite tablet, once a week, 1 mg/time) until the end point of follow-up as selenium supplementation group, and the rest (132 cases) were non-selenium supplementation group. Cox proportional hazards models were used to identify the independent predictors for 10-year survival rate of chronic KD. Kaplan-Meier method was used to analyze the 10-year survival rate of patients with chronic KD during the follow-up period and the Log-rank test was used to compare the 10-year survival rate between groups.Results:The follow-up deadline was October 2019. During the follow-up period, a total of 199 patients (199/302, 65.9%) of chronic KD died, including 101 patients (101/170, 59.4%) in the selenium supplementation group and 98 patients (98/132, 74.2%) in the non-selenium supplementation group. In COX proportional hazards model, after adjustment for other baseline characteristics [age, sex, body mass index (BMI), family history of KD, smoking, blood pressure, heart rate, ECG abnormalities, initial cardiothoracic ratio, left ventricular ejection fraction (LVEF), and blood selenium content], selenium supplementation and combined use of angiotensin-converting enzyme inhibitor + β receptor blocker (ACEI + BBs) were protective factors for 10-year survival in patients with chronic KD (selenium supplementation: HR = 0.39, 95% CI: 0.28 - 0.53; ACEI + BBs: HR = 0.57, 95% CI: 0.39 - 0.84). The 10-year survival rate of chronic KD patients after selenium supplementation was significantly higher than that of non-selenium supplementation group (Log-rank test, P < 0.05). Conclusion:Selenium supplementation and combined use of ACEI + BBs in chronic KD patients, are associated with better survival during the 10-year follow-up.
3.The relationship between silicosis and the polymorphism of HLA-DRB1 *, DQB1 * genes.
Baojun YUAN ; Zhixin ZHANG ; Hongfen LI ; Yanhe CHANG ; Zhizhong LIU ; Jimin ZOU ; Wei LI ; Xiaoyan SHAN
Chinese Journal of Industrial Hygiene and Occupational Diseases 2002;20(2):93-96
OBJECTIVETo investigate the relation between the susceptibility to silicosis and the polymorphism of HLA-DRB1 *, DQB1 * genes in Chinese Hans.
METHODSHLA-DRB1 * and DQB1 * gene polymorphism were tested in 48 silicosis patients and 100 normal controls by using polymerase chain reaction of sequence-specific primers (PCR-SSP).
RESULTSThe allele frequencies of DRB1 * 1401 and DQB1 * 05 in silicosis patients were significantly higher than those in normal controls (chi 2 = 5.61, P = 0.0066, RR = 17.40; chi 2 = 10.70, P = 0.0011, RR = 3.81, respectively), while the allele frequency of DRB1 * 09 was significantly lower in silicosis patients than that in controls (chi 2 = 5.70, P = 0.0187, RR = 0.21). There was a significant difference between the patient group and control group.
CONCLUSIONHLA-DRB1 * 1401 and DQB1 * 05 may be the susceptible genes and HLA-DRB1 * 09 the protection gene of silicosis, both susceptibility and protection may be related to HLA-DR gene locus. The joint action of allele genes may affect the pathogenesis of silicosis.
Gene Frequency ; Genetic Predisposition to Disease ; HLA-DQ Antigens ; genetics ; HLA-DQ beta-Chains ; HLA-DR Antigens ; genetics ; HLA-DRB1 Chains ; Humans ; Polymerase Chain Reaction ; Polymorphism, Genetic ; Silicosis ; genetics

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