1.Application of matrix-assisted laser desorption ionization-time of flight mass spectrometer in identification of clinical common bacteria
Bing WANG ; Xiaoqing REN ; Meiling CHU ; Liu YANG ; Xiangyu SHENG ; Lianqing ZHOU ; Wencheng XUE ; Dongya MENG
International Journal of Laboratory Medicine 2014;(16):2228-2230
Objective To evaluated the application value of two kinds of mass spectrometer(MS)and Vitek MS system in the i-dentification of routinely isolated bacteria in clinic.Methods 149 strains of common bacteria(including 14 genera and 30 species)i-solated from blood,urine,cerebral spinal fluid,secretion and sputum samples in our hospital from March 2012 to January 2013 were collected and simultaneously identified by 2 kinds of matrix-assisted laser desorption ionization-time of flight mass spectrometer (MALD-TOF-MS).The identification results were compared with those identified by the conventional biochemical identification (Vitek2 compact).The strains with the inconsistent results identified by 3 kinds of method were confirmed by 16S rDNA gene se-quencing.Results Among 149 common bacteria,the correct identification rates of genus and species by the Bruker Biotyper MS were 98% and 96% respectively and which by the Vitek MS system were 97% and 95% respectively.There were no misidentified bacterial strains by these two kinds of MS.Conclusion No statistical difference in the identification results was observed between these two kinds of MS system(P >0.05).Both exhibit excellent identification level and are suitable for the routine laboratory iden-tification of clinical microorganism.
2.Prognostic value of pretreatment 18F-FDG PET/CT metabolic parameters in elderly classical Hodgkin′s lymphoma
Bo TANG ; Dongya ZHOU ; Min LIU ; Chongyang DING
Chinese Journal of Nuclear Medicine and Molecular Imaging 2022;42(4):196-201
Objective:To investigate the prognostic value of pretreatment 18F-FDG PET/CT metabolic parameters in patients with elderly classical Hodgkin′s lymphoma (cHL). Methods:From April 2011 to April 2020, the pretreatment clinical and 18F-FDG PET/CT metabolic parameters of 42 elderly cHL patients (29 males and 13 females, median age 69 years) pathologically confirmed in the First Affiliated Hospital of Nanjing Medical University were retrospectively analyzed. Metabolic tumor volume (MTV) and total lesion glycolysis (TLG) were obtained with 41%SUV max as the threshold. ROC curve analysis was applied to obtain the best prognostic cut-off value of SUV max, MTV and TLG. Kaplan-Meier method and log-rank test were used for univariate survival analysis, and Cox proportional hazard regression model was used for multivariate survival analysis. Results:SUV max, MTV and TLG of 42 elderly cHL patients were 16.49(12.24, 23.59), 79.29(26.29, 184.51) ml and 729.02(206.03, 2 073.98) g, respectively. ROC curve showed that the AUCs of SUV max, MTV and TLG were 0.425, 0.882 and 0.832, respectively, and the best prognostic cut-off values were 16.49, 82.38 ml and 556.26 g, respectively. Univariate analysis showed that age, B symptoms, lactate dehydrogenase (LDH) level, Hb content, Ann Arbor stage, German Hodgkin Study Group (GHSG) score, MTV and TLG were relative factors affecting progression-free survival (PFS) rate ( χ2 values: 4.50-12.60, all P<0.05), and age, B symptoms, LDH level, Ann Arbor stage, GHSG score, MTV and TLG were relative factors affecting overall survival (OS) rate ( χ2 values: 5.20-11.17, all P<0.05). Multivariate analysis showed that MTV (relative risk ( RR)=5.370, 95% CI: 1.697-16.277) and TLG ( RR=4.854, 95% CI: 1.228-23.352) were independent prognostic predictors of PFS rate (both P<0.05), and GHSG score ( RR=3.761, 95% CI: 1.092-12.955; RR=3.668, 95% CI: 1.068-12.571), MTV ( RR=6.173, 95% CI: 1.431-16.322) and TLG ( RR=5.162, 95% CI: 1.200-22.199) were independent prognostic predictors of OS rate (all P<0.05). Conclusion:MTV and TLG in pretreatment 18F-FDG PET/CT are independent prognostic factors for predicting PFS and OS in patients with elderly cHL patients, which have certainly reference value for prognosis.