1.The diagnosis value of TNF-α ,IL-6 and NSE in cerebrospinal fluid of children with central nervous system infection
Shulan SHI ; Yanfei YANG ; Rongjie LI ; Junyi YANG ; Xingxing FENG ; Xiaojuan LI ; Bailing ZHOU ; Liyue KUI ; Tingyi DU
International Journal of Laboratory Medicine 2018;39(12):1470-1472
Objective To explore the diagnostic value of tumor necrosis factor-alpha (TNF-α) , interleukin-6 (IL-6) and neuron enolase (NSE) in the cerebrospinal fluid of children with central nervous sys-tem infection (CNSI).Methods 54 cases of CNSI hospitalized children ,admitted in the hospital from October 2015 to January 2017 ,were enrolled in the study and divided into viral meningitis group (30 cases) and suppu-rative meningitis group (24 cases).Another 20 cases who underwent cerebrospinal fluid examination and other related examinations were enrolled in the study as the control group.The levels of three biomarkers TNF-α , IL-6 and NSE in cerebrospinal fluid of three groups were detected by enzyme linked immunosorbent assay (ELISA).Results The levels of TNF-α ,IL-6 and NSE in purulent meningitis group were the hightest ,and the levels of these three factors in viral meningitis group were highter than the control group ,and the differ-ence was statistically significant in three groups (P<0.05).But there were a lot of data overlaps.There was no significant difference in the levels of TNF-α ,IL-6 and NSE between the brain group and the control group (P>0.05).Conclusion The detection of TNF-α ,IL-6 and NSE in cerebrospinal fluid has a certain clinical val-ue for the diagnosis of CNSI ,but it needs to be further verified by a large sample clinical trial.
2.Value of Fetuin-A, Fetuin-B, and insulin resistance index in predicting nonalcoholic fatty liver disease
Sulian YANG ; Rongjie SHI ; Lihua LI
Journal of Clinical Hepatology 2024;40(4):694-699
ObjectiveTo investigate the value of serum Fetuin-A and Fetuin-B combined with Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) in predicting nonalcoholic fatty liver disease (NAFLD). MethodsA total of 120 patients with NAFLD who attended Department of Gastroenterology, The First Affiliated Hospital of Dali University, from June 2020 to June 2021, and 120 healthy individuals who underwent physical examination at Physical Examination Center during the same period of time were enrolled as subjects, and clinical data were collected from all subjects. The serum levels of Fetuin-A and Fetuin-B were measured. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups, and the chi-square test was used for comparison of categorical data between two groups; the multivariate Logistic regression analysis was used to assess the risk factors for NAFLD. The receiver operating characteristic (ROC) curve was plotted to evaluate the predictive efficacy of Fetuin-A and Fetuin-B combined with HOMA-IR in NAFLD patients. ResultsCompared with the healthy control group, the NAFLD group had significantly higher levels of body mass index, systolic blood pressure, diastolic blood pressure, alanine aminotransferase, aspartate aminotransferase, fasting blood glucose, fasting insulin, triglycerides, HOMA-IR, Fetuin-A, and Fetuin-B (all P<0.05). The multivariate Logistic regression analysis showed that Fetuin-A (odds ratio [OR]=1.010, 95% confidence interval [CI]: 1.001 — 1.020, P<0.05), Fetuin-B (OR=1.113, 95%CI: 1.021 — 1.214, P<0.05), and HOMA-IR (OR=24.053, 95%CI: 2.624 — 220.470, P<0.05) were independent risk factors for NAFLD. The ROC curve analysis showed that Fetuin-A, Fetuin-B or HOMA-IR alone had an area under the ROC curve (AUC) of 0.637 (95%CI: 0.551 — 0.722), 0.853 (95%CI: 0.796 — 0.912), and 0.837 (95%CI: 0.763 — 0.912), respectively, and Fetuin-A combined with Fetuin-B, Fetuin-A combined with HOMA-IR, and Fetuin-B combined with HOMA-IR had an AUC of 0.853 (95%CI: 0.795 — 0.911), 0.843 (95%CI: 0.770 — 0.916), 0.922 (95%CI: 0.877 — 0.967), respectively, while the combination of these three indicators had an AUC of 0.922 (95%CI: 0.877 — 0.966). ConclusionFetuin-A and Fetuin-B have a certain value in predicting NAFLD, and Fetuin-B combined with HOMA-IR tends to have a higher predictive value.
3.PSA value gray area (4-10 ng/ml) prostate biopsy study
Jinwei SHANG ; Lai DONG ; Rongjie SHI ; Ruizhe ZHAO ; Tian HAN ; Minjie PAN ; Bin YANG ; Yamin WANG ; Wei XIA ; Lixin HUA ; Gong CHENG
Chinese Journal of Urology 2024;45(5):386-390
Objective:To explore the strategy of prostate biopsy in patients with prostate specific antigen(PSA)gray zone based on prostate imaging reporting and data system (PI-RADS).Methods:The clinical data of 427 patients who underwent transperineal prostate biopsy in the First Affiliated Hospital of Nanjing Medical University from January 2020 to December 2022 were retrospectively analyzed. The median age was 66 (61, 72) years old. The median PSA was 6.62 (5.46, 8.19) ng/ml. The median PSA density (PSAD) was 0.15 (0.11, 0.21) ng/ml 2. The median prostate volume (PV) was 43.68 (31.12, 56.82) ml. PSA velocity (PSAV) data were available in 65 patients with negative MRI examination(PI-RADS <3), and the median PSAV was 1.40 (0.69, 2.89) ng/(ml· year). Among the patients with positive MRI(PI-RADS≥3), there were 174 patients with only 1 lesion and 83 patients with ≥2 lesions. A total of 170 patients with negative MRI underwent systematic biopsy, and 257 patients with positive MRI underwent systematic combined targeted biopsy. The PI-RADS score, regions of interest(ROI), PSAD, f/tPSA and PSAV were analyzed to explore the biopsy strategy for patients with PSA gray area based on bpMRI imaging. Results:Of the 427 patients included in the study, 194 were positive and 233 were negative. Among the patients with positive biopsy pathology, 140 cases were clinically significant prostate cancer (CsPCa). Among the MRI-negative patients, there were 33 cases with PSAV ≥1.4 ng/(ml·year), and 10 cases of prostate cancer and 6 cases of CsPCa were detected by systematic biopsy.In 32 cases with PSAV <1.4 ng/(ml·year), 3 cases of prostate cancer and 0 case of CsPCa were detected by systematic biopsy. The sensitivity of systematic biopsy for the diagnosis of prostate cancer and CsPCa in patients with PSAV≥1.4 ng/(ml·year) were 76.9% (10/13) and 100.0% (6/6) respectively, the specificity were 55.8% (29/52) and 54.2% (32/59) respectively, the negative predictive value were 90.6% (29/32) and 100.0% (32/32) respectively, and the positive predictive value were 30.3% (10/33) and 18.2% (6/33) respectively. In MRI-positive patients with PI-RADS 3, the prostate cancer detection rates of targeted biopsy combined with systematic biopsy, systematic biopsy and targeted biopsy were 41.7% (45/108), 32.4% (35/108) and 35.2% (38/108), respectively ( P=0.349). The detection rates of CsPCa were 27.8% (30/108), 21.3% (23/108) and 25.0% (27/108), respectively ( P=0.541). In patients with PI-RADS 4-5 and PSAD > 0.15 ng/ml 2, the detection rates of CsPCa in targeted biopsy combined with systematic biopsy, systematic biopsy and targeted biopsy were 67.8% (61/90), 58.9% (53/90) and 67.8% (61/90), respectively ( P=0.354). Conclusions:For MRI-negative patients, all CsPCa could be detected by perineal systematic biopsy when PSAV ≥1.4 ng/(ml·year), and active observation could be performed when PSAV <1.4 ng/(ml·year). For MRI-positive patients, targeted combined systemic biopsy was required when PI-RADS score was 3, and targeted biopsy only could be performed when PI-RADS score ≥4 and PSAD >0.15 ng/ml 2, otherwise targeted combined systemic biopsy was required.