Objective To investigate the relationship of benign prostatic hyperplasia(BPH) with abnormal glucose and lipid metabolism in the elderly. Methods A total of 152 elderly patients with BPH were selected as study subjects. The levels of fasting plasma glucose (FPG), 2-hour postprandial glucose (2 hPG), fasting insulin (FINS), total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), blood uric acid (UA), and prostate-specific antigen (PSA) were measured. Their systolic blood pressure (SBP) and diastolic blood pressure (DBP) were also measured. Prostate volume (PV) and annual prostate growth rate were calculated, and the International Prostate Symptom Score (IPSS) was assessed. Based on blood glucose, blood lipids, and IPSS, the patients were divided into normal blood glucose group(99 cases) and hyperglycemia group(53 cases), normal blood lipid group(112 cases) and dyslipidemia group(40 cases), and moderate symptom group(91 cases) and severe symptom group(61 cases). The clinical characteristics of patients in each group were compared, and the relationships of abnormal glucose and lipid metabolism with the severity of lower urinary tract symptoms in patients with BPH were analyzed. Results Compared with the normal blood glucose group, patients in the hyperglycemia group had higher age, SBP, annual prostate growth rate, IPSS, and levels of FPG, 2 hPG, FINS, and PSA, larger PV, and lower HDL-C level (P < 0.05). Compared with the normal blood lipid group, patients with BPH in the dyslipidemia group had higher age, SBP, annual prostate growth rate, IPSS, and levels of FPG, FINS, TC, TG, LDL-C, and UA, larger waist circumference and PV, and lower HDL-C level (P < 0.05). Compared with the moderate symptom group, patients in the severe symptom group had higher age, BMI, SBP, annual prostate growth rate, and FPG levels, higher incidence rates of hyperglycemia and dyslipidemia, larger PV, and lower HDL-C levels (P < 0.05). Multivariate Logistic regression analysis indicated that age ≥70 years, SBP ≥140 mmHg, hyperglycemia, dyslipidemia, increased PV, and elevated annual prostate growth rate were all independent risk factors for the occurrence of severe lower urinary tract symptoms in patients with BPH (P < 0.05). Conclusion Elderly BPH is closely related to abnormal glucose and lipid metabolism, and abnormal glucose and lipid metabolism are risk factors for the exacerbation of lower urinary tract symptoms.

Background and objective The incidence rate of lung cancer in Xuanwei has been continuously in-creasing in recent years,and it also features high incidence across all age groups and high mortality rates among female lung cancer patients.Therefore,the search for more stable biomarkers for the diagnosis of Xuanwei lung cancer holds tremendous clinical application prospects.This study aims to explore the clinical application value of these four microRNAs(miRNAs)in-dividually and in combination with traditional lung cancer tumor markers in the detection and diagnosis of Xuanwei lung can-cer.Methods By detecting the expression levels of four miRNAs and five traditional lung cancer tumor markers in the serum of 45 Xuanwei lung cancer patients and healthy physical examination participants,the Logistic regression model was employed to comprehensively evaluate the sensitivity,specificity,diagnostic efficacy,and other relevant statistical indicators of the four miR-NAs in the diagnosis of Xuanwei lung cancer.Results Among the individual miRNAs,miR-4646-5p and miR-3654 showed significant differences in expression levels between the Xuanwei lung cancer group and the control group(P＜0.05).miR-3654 demonstrated the best diagnostic performance with a sensitivity of 86.7％ ,specificity of 82.2％ ,and an area under the curve of 0.847.Combining miR-3654 with miR-4646-5p and carcinoembryonic antigen(CEA)resulted in the highest diagnostic ef-ficacy for Xuanwei lung cancer,with a sensitivity of 73.3％ ,specificity of 93.3％ ,area under the curve of 0.901,and a positive predictive value of 91.7％ .Conclusion Among the four miRNAs,serum miR-3654 exhibits the best diagnostic efficacy for Xuanwei lung cancer.Combined with miR-4646-5p and CEA,its diagnostic value for Xuanwei lung cancer can be effectively enhanced,making it a promising screening indicator for Xuanwei lung cancer.