1.Comparison of PG-SGA, NRS 2002 and BIA in nutritional assessment and screening of patients with gynecologic cancers
Yongning CHEN ; Yang GUAN ; Li ZHENG ; Wenlian LIU ; Chunhua WU ; Yadi ZHANG ; Li CHEN ; Shipeng GONG
Parenteral & Enteral Nutrition 2017;24(4):221-224
Objective:To evaluate the application of PG-SGA,NRS 2002 and BIA in nutritional assessment and screening of patients with gynecologic cancers.Methods:118 patients were randomly selected.Nutritional status were evaluated by PG-SGA,NRS 2002 and BIA,and consistency between each tools were compared.Results:The prevalence of malnutrition or nutritional risk of patients were 64.4% (PG-SGA),57.6% (NRS 2002),and 33.9% (BIA) respectively.In all patients,the consistency of PG-SGA and NRS 2002 was high (P < 0.001),while there were not significantly consistent between BIA and PG-SGA,or between BIA and NRS 2002 (P < 0.001).Conclusion:According to the evaluation of PG-SGA or NRS 2002 in gynecologic patients,the prevalence of malnutrition or nutritional risk is high,and these two scales are suitable for nutritional assessment and screening of gynecologic cancer patients,especially in ovarian cancer patients.In addition,BIA may be a promising tool to evaluate cervical cancer patients' nutritional status.
2.Analysis of correlation between serum uric acid and non alcohol fatty liver disease
Dongxu WANG ; Lianjie LIN ; Yan LIN ; Yadi GUAN ; Shihang ZHENG ; Changqing ZHENG
Clinical Medicine of China 2018;34(2):121-124
Objective To explore the correlation between serum uric acid ( SUA) and non alcohol fatty liver disease(NAFLD). Methods From October 2015 to December 2016,two hundred and forty?nine cases of NAFLD in Shengjing Hospital of China Medical University and 144 N?NAFLD patients were included in the study,to analyze their general data ( sex, height, weight, blood pressure ) , liver function, blood lipid and SUA. SUA was divided into four groups by four point method,group Q1 ( 99 cases) ,group Q2 ( 98 cases) ,group Q3 ( 98 cases ) , group Q4 ( 98 cases ) . The proportion of NAFLD in each group was compared and the relationship between SUA and NAFLD was analyzed by Logistic regression. Results There were statistically significant differences between the NAFLD group and the N?NAFLD group in gender,age,DBP,BMI,ALT,AST,γ?GT,SUA,TG,TC,HDL?C,LDL?C (P<0. 05),the differences in SBP,Tbil,Dbil and UDbil had no statistical significance ( P>0. 05);the proportion of NAFLD in group Q1,group Q2,group Q3 and group Q4 was 41. 41%(41/99),57. 14%(56/98),71. 43%(70/98),83. 67%(82/98),respectively,the differences between groups were statistically significant ( P=<0. 05); Logistic regression analysis showed that SUA was a risk factor for NAFLD (OR=1. 016,P<0. 05),after the adjustment of age,gender,BMI,diastolic blood pressure,TG,TC,HDL?C and LDL?C,OR=1. 008,P=0. 001. Conclusion SUA is an independent risk factor of NAFLD.
3.Retesting of HIV antibody positive samples and analysis of confirmatory results
Jialu YAN ; Jing TONG ; Yangguang DU ; Yadi GUAN
Chinese Journal of Experimental and Clinical Virology 2021;35(4):404-407
Objective:To discuss the coincidence rate between the initial test and the retest result of the laboratory, and the relationship between the result of reexamination and the result of confirmation by analyzing the retesting and confirmatory result of positive samples in various medical institutions,Methods:A total of 710 HIV antibody positive samples from medical institutions within the jurisdiction of Xuzhou city from January 1 to December 31, 2018 were retrospectively collected as research materials. The source, population, reinspection result and confirmatory result were analyzed respectively.Results:The positive rate of reexamination in medical institutions, disease control institutions and blood collection and supply institutions was 62.12%(269/433), 96.53%(167/173), 14.42%(15/104), respectively. The double-reactive samples were confirmed to be positive at the time of reexamination or follow-up. The inconsistencies in the reexamination result were confirmed to be negative by the appropriate time or follow-up. The false positive rate by Bio-Rad reagents was 0.23% (1/443), the false positive rate by Alere reagents was 1.78% (8/450).Conclusions:From high to low, the retest compliance rate was in the order of disease control institutions, medical institutions, blood collection and supply institutions. The samples sent by the CDC can be tested directly without retesting. Therefore, the double-reactive samples in the reinspection should be mainly followed up. If the retest result are inconsistent and the samples are not confirmed positive or the follow-up result are positive, there is no missing test. The specificity of Bio-Rad reagents is better than that of Alere reagents.