1.ACPGBI scoring predicting mortality of patients with colorectal cancer
Chun ZHANG ; Wei FU ; Lihuan REN ; Liang WANG ; Lei LI ; Jiong YUAN ; Dechen WANG ; Tonglin ZHANG ; Jingqiao Lü
Chinese Journal of General Surgery 2009;24(4):278-281
Objective To evaluate a score system(Association of Coloproctology of Great Britain and Ireland ACPGBI)in prediction of postoperative mortality from colorectal cancer patients in a Chinese hospital. Methods We analyzed retrospectively 904 patients with histologically confirmed colorectal cancer who had colorectal surgery from 1992 to 2005.There were 525 colonic cancer patients and 379 rectal cancer patients.We divided patients into several groups according to operative urgency(elective or emergency);surgeons(colorectal specialists or other surgeons);cancer location(colon or rectal).According to ACPGBI score we got the prediction.This prediction was compared with the actual mortality;Chi-square test,receiver operator characteristic curve(ROC),Hosmer-Lemeshow goodness-of-fit test were used.Results Observed overall mortality within 30 days after surgery was 1.0%(9/904),and the predicted mortality was 8.3%(75/904).In all the subgroups the predicted momdity wag higher than observed mortality.We found that the actual mortality was higher in an individual subgroup in which the predicted mortality was higher. Conclusions For colorectal cancer patients undergoing a surgery the predicted mortality of ACPGBI score system was higher than the actual mortality in a Chinese hospital.
2.Association between serum uric acid and metabolic syndrome among adult residents in Anhui province
Wei XU ; Huadong WANG ; Xiuya XING ; Jingqiao XU ; Dan CAO ; Qianyao CHENG ; Yili LYU ; Zhirong LIU
Chinese Journal of Endocrinology and Metabolism 2023;39(10):865-869
Objective:To investigate the prevalence of metabolic syndrome(MS) among adult residents with different characteristics and the relationship between serum uric acid(SUA) level and MS using the data of Chinese Adult Chronic Diseases and Nutrition Surveillance(2018) program in Anhui.Methods:Multi-stage stratified cluster random sampling was used to select participants aged 18 and over for questionnaires, physical measurements, and laboratory tests. The complex weighted method was used to estimate the prevalence of MS among residents with different characteristics. Logistic regression model based on complex sampling data was used to analyze the relationship between SUA and MS. Receiver operating characteristic(ROC) curve was used to evaluate the reliability of SUA in diagnosing MS and determine the optimal cutoff point.Results:A total of 7 182 participants were included and the prevalence of MS among adult residents was 29.46%. The prevalence of MS was higher in females(33.76%) than that in males(25.28%), and the difference was statistically significant( P<0.05). After adjusting for other factors, for every 10 μmol/L increase in SUA, the risk of MS increased by 4% in males( OR=1.040, 95% CI 1.019-1.061) and 7% in females( OR=1.070, 95% CI 1.059-1.082). The area under the curve(AUC) for SUA in diagnosing MS was 0.816(95% CI 0.806-0.826), with a sensitivity of 0.761 and specificity of 0.727. The optimal cutoff point for SUA was 450 μmol/L. Conclusion:The prevalence of MS among adult residents in Anhui Province is 29.46%. SUA is a risk factor for MS, and increasing SUA level indicated a higher risk of MS. The optimal cutoff value of SUA may be helpful in diagnosing MS.
3.Deafness genetic mutation spectrum in nonsyndromic hearing impairment associated with enlarged vestibular aqueducts
Yi WANG ; Zhenbo CHEN ; Yong LI ; Jingqiao WANG ; Zhizhong LIU
Chinese Journal of Rehabilitation Theory and Practice 2023;29(1):119-124
ObjectiveTo investigate the deafness genetic mutation spectrum in nonsyndromic hearing impairment (NSHI) associated with enlarged vestibular aqueducts (EVA). MethodsFrom October, 2015 to August, 2016, 85 patients with NSHI from Hubei Yichang Special Education School were examined with temporal bone CT, and 20 deafness-related gene mutations in GJB2, GJB3, SLC26A4 and mtDNA 12S rRNA were detected with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. ResultsA total of 31 patients were found EVA with temporal bone CT. Compared with non-EVA patients, the proportion of deafness-related gene mutations was more in patients with EVA (χ2 = 11.160, P = 0.001), especially for c.919-2A>G mutation of SLC26A4 (χ2 = 23.870, P < 0.001). ConclusionThe deafness gene mutation spectrum is different in NSHI patients with or without EVA. It is needed to optimize genetic testing scheme for deafness for early diagnosis and intervention of NSHI associated with EVA.