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.

Objective:To understand the thyroid function of the physical examination population in Tangshan area, and analyze the effects of thyroid function on blood lipids, fasting blood glucose (FPG), and serum 25 hydroxyvitamin D [25(OH)D].Methods:A population from the Tangshan area who underwent physical examinations at the Kailuan General Hospital from June 2020 to June 2021 was selected as the study subjects and the levels of their thyroid serological indicators [thyroid stimulating hormone (TSH), free triiodothyronine (FT3), free thyroxine (FT4), triiodothyronine (TT3), and thyroid hormone (TT4)] were tested. According to thyroid function, they were divided into normal group, hyperthyroidism group, hypothyroidism group, subclinical hyperthyroidism group, and subclinical hypothyroidism group. We compared the blood lipid indicators [triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C)], FPG, and 25(OH)D levels in different subgroups, and the Pearson correlation analysis was used to investigate the correlation between TSH levels and blood lipids, FPG, and 25(OH)D levels.Results:In this study, 2 884 subjects were selected from the physical examination population in Tangshan area. The proportion of people with abnormal thyroid function was 12.03%(347/2 884), among which the proportion of subclinical thyroid function abnormal population in the total thyroid function abnormal population was 80.69%(280/347). As men age, the proportion of thyroid dysfunction in the age groups of 21-<30 years old, 30-<40 years old, 40-<50 years old, and ≥50 years old was 5.06%(4/79), 7.52%(33/439), 8.91%(53/595), and 9.95%(66/663), respectively. The proportion of thyroid dysfunction in the above age group of women was 14.02%(15/107), 15.06%(61/405), 15.47%(67/433), and 29.45%(48/163). The serum TG, TC, LDL-C, and 25(OH)D levels in the hyperthyroidism group were lower than those in the normal group, while HDL-C and FPG levels were higher than those in the normal group, with statistically significant differences (all P<0.05). The serum TG and TC in the hypothyroidism group were higher than those in the normal group, while FPG and 25(OH)D were lower than those in the normal group, with statistically significant differences (all P<0.05). TSH levels were positively correlated with TC and LDL-C, while negatively correlated with FPG and 25(OH)D (all P<0.05). Conclusions:Subclinical thyroid dysfunction is the main cause of thyroid dysfunction in the Tangshan area, and TSH levels are correlated with blood lipids, fasting blood glucose, and serum 25(OH)D levels.

OBJECTIVE: To study the general law of typing of bronchiectasis according to syndrome differentiation. METHODS: We collected the symptoms, conditions of tongue and pulse in patients of bronchiectasis, using frequencies procedure, discriminant analysis and K-means cluster analysis in SPSS statistical software as research medium. RESULTS: Five hundred and sixty three patients with bronchiectasis were studied. It suggested that accumulation of phlegm-heat in the lungs (45.65%), liver fire attacking the lungs (24.51%), asthenia of pulmonosplenic qi (22.38%), asthenia of both qi and yin (7.46%) were the main types. CONCLUSION: Clinical epidemiology provided scientific basis for further studying of the typing of bronchiectasis according to syndrome differentiation. Building up differentiation of syndromes through differentiation and analysis of main symptoms can be used in clinical diagnosis.