1.Monte Carlo-based estimation of absorbed dose and effective dose to critical tissues and organs of operators in the overexposure incident during an interventional procedure
Yuchen YIN ; Xuan WANG ; Wenxing XU ; Xiaoyu BAI ; Yu TU ; Bingjie ZHANG ; Liang SUN
Chinese Journal of Radiological Medicine and Protection 2024;44(8):688-692
Objective:To estimate tissue/organ doses and effective dose to operators in the overexposure incident during an interventional procedure using Monte Carlo method.Methods:The phantoms were constructed for both the operators and the patient based on the adult mesh-type reference computational phantoms (MRCPs) recommended by the International Commission on Radiological Protection (ICRP) Publication 145 and phantom deformation technology. Models of exposure scenario were constructed based on the on-site equipment and the irradiation conditions. The Monte Carlod simulation method was used to evaluate the absorbed dose to critical tissues and organs, such as the operator′s eye lens and thyroid, as well as the effective dose.Results:In the particular exposure conditions, the maximum absorbed doses in the primary organs of the two operators were in the left eye lens, with doses of 1.216 and 0.223 mGy, respectively. The thyroid absorbed doses were 0.074 and 0.019 mGy, while the effective doses to the two operators were 0.088 and 0.021 mSv, respectively. The reduction rates of effective dose for the two operators when wearing lead aprons and lead thyroid collars were 67.16% and 78.79%, respectively.Conclusions:The combination of Monte Carlo method and MRCPs can be used to restore a specific irradiation scenario to a high degree and to estimate the physical dose of to the irradiated persons.
2.Quality evaluation of Bupleuri Radix in Shanxi Province by LC-MS based pseudotargeted metabonomics
Xue BAI ; Ya-xuan GUO ; Ai-ling XU ; Xiao-xia GAO ; Xue-mei QIN ; Xiao-min WANG ; Zhen-yu LI
Acta Pharmaceutica Sinica 2023;58(7):1963-1970
Bupleuri Radix is commonly used in the traditional Chinese medicine, and saikosaponins are the important active ingredients. In this study, we first established a relative quantitative method for 25 saikosaponins using ultra high performance liquid chromatography-triple quadrupole mass spectrometry (UHPLC-QTrap-MS) in the scheduled multiple reaction monitoring (sMRM) mode. The established method showed good intra-day and intra-day precision, linearity, repeatability and stability. Then the method was applied to compare 37 batches of Bupleuri Radix from different planting areas. The results showed that there was no significant difference in the saikosaponins composition of Bupleuri Radix from different planting areas in Shanxi Province, which indicating that Bupleuri Radix is well adapted to the environment, so it is suitable for widely planting. However, Bupleuri Radix harvested at spring and autumn were differed from those harvested at summer, which indicated that the traditional harvesting experience was reasonable. Correlation analysis showed that saikosaponins a and d were positively correlated with some saponins, and 4 saponins (such as clinoposaponin XII) showed bigger content variation were identified by coefficient of variation analysis. The LC-MS based pseudotargeted metabonomic method established in this study can be applied to the comprehensive detection of saikosaponins, which providing new method for the quality evaluation of Bupleuri Radix.
3.Application of Microhaplotypes in Sibling Kinship Testing.
Xuan TANG ; Dan WEN ; Chu-Dong WANG ; Ru-Yi XU ; Hong-Tao JIA ; Jie-Nan LI ; Bai-Yi-la ZHALAGA
Journal of Forensic Medicine 2023;39(3):288-295
OBJECTIVES:
To investigate the efficacy of different numbers of microhaplotype (MH) loci and the introduction of different reference samples on the identification of full sibling, half sibling and differentiation between full sibling and half sibling kinships, and to explore the effect of changing mutation rate on sibling testing.
METHODS:
First, a family map involving three generations was established, and four full sibling identification models, five half sibling identification models and five models distinguishing full and half siblings were constructed for different reference samples introduced. Based on the results of the previous study, two sets of nonbinary SNP-MH containing 34 and 54 loci were selected. Based on the above MH loci, 100 000 pairs of full sibling vs. unrelated individuals, 100 000 pairs of half sibling vs. unrelated individuals and 100 000 pairs of full sibling vs. half sibling were simulated based on the corresponding sibling kinship testing models, and the efficacy of each sibling kinship testing model was analyzed by the likelihood ratio algorithm under different thresholds. The mutant rate of 54 MH loci was changed to analyze the effect of mutation rate on sibling identification.
RESULTS:
In the same relationship testing model, the systematic efficacy of sibling testing was positively correlated with the number of MH loci detected. With the same number of MH loci, the efficacy of full sibling testing was better than that of uncle or grandfather when the reference sample introduced was a full sibling of A, but there was no significant difference in the identification efficacy of the four reference samples introduced for full sibling and half sibling differentiation testing. In addition, the mutation rate had a slight effect on the efficacy of sibling kinship testing.
CONCLUSIONS
Increasing the number of MH loci and introducing reference samples of known relatives can increase the efficacy of full sibling testing, half sibling testing, and differentiation between full and half sibling kinships. The level of mutation rate in sibling testing by likelihood ratio method has a slight but insignificant effect on the efficacy.
Humans
;
Siblings
;
Polymorphism, Single Nucleotide
;
DNA Fingerprinting/methods*
4.A multicenter epidemiological study of acute bacterial meningitis in children.
Cai Yun WANG ; Hong Mei XU ; Jiao TIAN ; Si Qi HONG ; Gang LIU ; Si Xuan WANG ; Feng GAO ; Jing LIU ; Fu Rong LIU ; Hui YU ; Xia WU ; Bi Quan CHEN ; Fang Fang SHEN ; Guo ZHENG ; Jie YU ; Min SHU ; Lu LIU ; Li Jun DU ; Pei LI ; Zhi Wei XU ; Meng Quan ZHU ; Li Su HUANG ; He Yu HUANG ; Hai Bo LI ; Yuan Yuan HUANG ; Dong WANG ; Fang WU ; Song Ting BAI ; Jing Jing TANG ; Qing Wen SHAN ; Lian Cheng LAN ; Chun Hui ZHU ; Yan XIONG ; Jian Mei TIAN ; Jia Hui WU ; Jian Hua HAO ; Hui Ya ZHAO ; Ai Wei LIN ; Shuang Shuang SONG ; Dao Jiong LIN ; Qiong Hua ZHOU ; Yu Ping GUO ; Jin Zhun WU ; Xiao Qing YANG ; Xin Hua ZHANG ; Ying GUO ; Qing CAO ; Li Juan LUO ; Zhong Bin TAO ; Wen Kai YANG ; Yong Kang ZHOU ; Yuan CHEN ; Li Jie FENG ; Guo Long ZHU ; Yan Hong ZHANG ; Ping XUE ; Xiao Qin LI ; Zheng Zhen TANG ; De Hui ZHANG ; Xue Wen SU ; Zheng Hai QU ; Ying ZHANG ; Shi Yong ZHAO ; Zheng Hong QI ; Lin PANG ; Cai Ying WANG ; Hui Ling DENG ; Xing Lou LIU ; Ying Hu CHEN ; Sainan SHU
Chinese Journal of Pediatrics 2022;60(10):1045-1053
Objective: To analyze the clinical epidemiological characteristics including composition of pathogens , clinical characteristics, and disease prognosis acute bacterial meningitis (ABM) in Chinese children. Methods: A retrospective analysis was performed on the clinical and laboratory data of 1 610 children <15 years of age with ABM in 33 tertiary hospitals in China from January 2019 to December 2020. Patients were divided into different groups according to age,<28 days group, 28 days to <3 months group, 3 months to <1 year group, 1-<5 years of age group, 5-<15 years of age group; etiology confirmed group and clinically diagnosed group according to etiology diagnosis. Non-numeric variables were analyzed with the Chi-square test or Fisher's exact test, while non-normal distrituction numeric variables were compared with nonparametric test. Results: Among 1 610 children with ABM, 955 were male and 650 were female (5 cases were not provided with gender information), and the age of onset was 1.5 (0.5, 5.5) months. There were 588 cases age from <28 days, 462 cases age from 28 days to <3 months, 302 cases age from 3 months to <1 year of age group, 156 cases in the 1-<5 years of age and 101 cases in the 5-<15 years of age. The detection rates were 38.8% (95/245) and 31.5% (70/222) of Escherichia coli and 27.8% (68/245) and 35.1% (78/222) of Streptococcus agalactiae in infants younger than 28 days of age and 28 days to 3 months of age; the detection rates of Streptococcus pneumonia, Escherichia coli, and Streptococcus agalactiae were 34.3% (61/178), 14.0% (25/178) and 13.5% (24/178) in the 3 months of age to <1 year of age group; the dominant pathogens were Streptococcus pneumoniae and the detection rate were 67.9% (74/109) and 44.4% (16/36) in the 1-<5 years of age and 5-<15 years of age . There were 9.7% (19/195) strains of Escherichia coli producing ultra-broad-spectrum β-lactamases. The positive rates of cerebrospinal fluid (CSF) culture and blood culture were 32.2% (515/1 598) and 25.0% (400/1 598), while 38.2% (126/330)and 25.3% (21/83) in CSF metagenomics next generation sequencing and Streptococcus pneumoniae antigen detection. There were 4.3% (32/790) cases of which CSF white blood cell counts were normal in etiology confirmed group. Among 1 610 children with ABM, main intracranial imaging complications were subdural effusion and (or) empyema in 349 cases (21.7%), hydrocephalus in 233 cases (14.5%), brain abscess in 178 cases (11.1%), and other cerebrovascular diseases, including encephalomalacia, cerebral infarction, and encephalatrophy, in 174 cases (10.8%). Among the 166 cases (10.3%) with unfavorable outcome, 32 cases (2.0%) died among whom 24 cases died before 1 year of age, and 37 cases (2.3%) had recurrence among whom 25 cases had recurrence within 3 weeks. The incidences of subdural effusion and (or) empyema, brain abscess and ependymitis in the etiology confirmed group were significantly higher than those in the clinically diagnosed group (26.2% (207/790) vs. 17.3% (142/820), 13.0% (103/790) vs. 9.1% (75/820), 4.6% (36/790) vs. 2.7% (22/820), χ2=18.71, 6.20, 4.07, all P<0.05), but there was no significant difference in the unfavorable outcomes, mortility, and recurrence between these 2 groups (all P>0.05). Conclusions: The onset age of ABM in children is usually within 1 year of age, especially <3 months. The common pathogens in infants <3 months of age are Escherichia coli and Streptococcus agalactiae, and the dominant pathogen in infant ≥3 months is Streptococcus pneumoniae. Subdural effusion and (or) empyema and hydrocephalus are common complications. ABM should not be excluded even if CSF white blood cell counts is within normal range. Standardized bacteriological examination should be paid more attention to increase the pathogenic detection rate. Non-culture CSF detection methods may facilitate the pathogenic diagnosis.
Adolescent
;
Brain Abscess
;
Child
;
Child, Preschool
;
Escherichia coli
;
Female
;
Humans
;
Hydrocephalus
;
Infant
;
Infant, Newborn
;
Male
;
Meningitis, Bacterial/epidemiology*
;
Retrospective Studies
;
Streptococcus agalactiae
;
Streptococcus pneumoniae
;
Subdural Effusion
;
beta-Lactamases
5.Evaluation of delayed laparoscopic cholecystectomy after percutaneous transhepatic gallbladder drainage in the management of acute cholecystitis
Yaqi LIU ; Fangjingwei XU ; Xin WANG ; Quan WU ; Xuan CAI ; Zhixue ZHENG ; Nan BAI ; Jingming ZHAO ; Jingtao BI
Chinese Journal of General Surgery 2022;37(6):430-433
Objective:To evaluate delayed laparoscopic cholecystectomy (DLC) after percutaneous transhepatic gallbladder drainage (PTGBD) in acute cholecystitis.Methods:Clinical data of 64 patients who were diagnosed moderate (grade Ⅱ) acute cholecystitis by the 2018 Tokyo Guidelines in acute phase and underwent delayed LC at our hospital from Jan 2018 to Jan 2021 were compared between two groups ie PTGBD treatment (21 cases)in acute stage before DLC and DLC without PTGBD group (43 cases). The difficulty score of TG18 was used to evaluated every surgical procedure of the cases by reviewing the operation videos.Results:Patients in DLC after PTGBD group had a longer hospital stay and operation time, more blood lose and higher difficulty score than the DLC without PTGBD group(all P<0.05). There was no statistically significant difference in the conversion rate and morbidity rate between the two groups( P>0.05). Conclusion:This study fails to show there is any if ever benefit of PTGBD before DLC over DLC without PTGBD in the management of Grade Ⅱ acute cholecystitis.
6.The research of pulmonary function changes after thoracoscopic lobectomy versus thoracoscopic segmentectomy based on propensity score matching method
Nadier YIMIN ; Zhouyi LU ; Yunbiao BAI ; Kaiheng GAO ; Yulong TAN ; Xuan WANG ; An WANG ; Dong XU ; Dayu HUANG ; Zhenhua HAO ; Huijun ZHANG ; Ning WU ; Shaohua WANG ; Qinyun MA ; Yingwei WANG ; Xiaofeng CHEN
Chinese Journal of Thoracic and Cardiovascular Surgery 2022;38(1):1-4
Objective:To compare the effects of thoracoscopic anatomical segmentectomy and thoracoscopic lobectomy on patients' respiratory function.Methods:Retrospective analysis of 326 patients who underwent thoracoscopic surgery from July 2016 to July 2019(209 patients underwent anatomical segmentectomy, 117 patients underwent lobectomy). According to variables including gender, age, tumor location, smoking history and BMI, two propensity score-matched cohorts including 89 patients respectively were constructed. The patients’ baseline data and respiratory function date of the patients pre-operation and post-operation were analyzed. The measurement data that obey the normal distribution were described by mean±standard deviation, and the t-test was used for comparison between groups; the measurement data of non-normal distribution was described by the median value( P25, P75), and the Wilcoxon rank sum test was used for the comparison between groups; The data was described by frequency, and the chi-square test or Fisher's exact probability method was used for comparison between groups. Results:At the first-month follow-up after surgery, there was no significant difference in the variation of FVC[(0.48±0.40)L vs.(0.34±0.37)L, P=0.215)and FEV1[(0.52±0.46)L vs.(0.43±0.77)L, P=0.364), and in the change rate of FVC(%)[15.23(8.74, 21.25) vs. 14.58(7.75, 19.40), P=0.122], FEV1(%)[17.25(9.56, 22.78) vs. 16.42(9.15, 20.28), P=0.154]and DLCO(%)[18.54(10.88, 25.68)vs. 17.45(9.58, 23.75) P=0.245]. Between the segmentectomy group and lobectomy group, there was a significant difference in the alteration of FVC[(0.50±0.47)L vs. (0.29±0.31)L, P=0.031] and FEV1[(0.44±0.34)L vs.(0.24±0.23)L, P<0.001], the change rate of FVC(%)[14.27(7.87, 22.32) vs. 9.95(5.56, 17.24), P=0.008]、FEV1(%)[15.23(8.36, 22.17)vs. 10.05(5.15, 18.54), P<0.001]and DLCO(%)[13.74(6.24, 19.78) vs. 4.45(-2.32, 13.75), P=0.023]in the 6th month after surgery. The lobectomy group had a higher variation of FEV1[(0.34±0.49)L vs.(0.18±0.26)L, P=0.006] and change rate of FVC(%)[9.28(2.15, 18.94) vs. 5.24(0.52, 11.45), P=0.0032] and FEV1(%)[10.45(3.15, 21.32) vs. 6.50(1.55, 14.24), P<0.001] in the first year after surgery. However, the variation of FVC[(0.29±0.36)L vs.(0.21±0.24)L, P=0.176) and the change rate of DLCO(%)[8.35(2.15, 16.45) vs. 6.23(2.12, 14.54), P=0.143] didn't show a significant difference between the two groups. Conclusion:Whether in the short or the middle postoperative period, segmentectomy can preserve postoperative respiratory function than lobectomy.
7.Comparison of machine learning and Logistic regression model in predicting acute kidney injury after cardiac surgery: data analysis based on MIMIC-Ⅲ database
Wei XIONG ; Lifan ZHANG ; Kai SHE ; Guo XU ; Shanglin BAI ; Xuan LIU
Chinese Critical Care Medicine 2022;34(11):1188-1193
Objective:To establish an acute kidney injury (AKI) prediction model in patients after cardiac surgery by extreme gradient boosting (XGBoost) machine learning model, and to explore the risk and protective factors for AKI in patients after cardiac surgery.Methods:All patients who underwent cardiac surgery in Medical Information Mart for Intensive Care-Ⅲ (MIMIC-Ⅲ) database were enrolled, and they were divided into AKI group and non-AKI group according to whether AKI developed within 14 days after cardiac surgery. Their clinical characteristics were compared. Based on five-fold cross-validation, XGBoost and Logistic regression were used to establish the prediction model of AKI after cardiac surgery. And the area under the receiver operator characteristic curve (AUC) of the models was compared. The output model of XGBoost was interpreted by Shapley additive explanations (SHAP).Results:A total of 6 912 patients were included, of which 5 681 (82.2%) developed AKI within 14 days after the operation, and 1 231 (17.8%) did not. Compared with the non-AKI group, the main characteristics of AKI group included older age [years: 68.0 (59.0, 76.0) vs. 62.0 (52.0, 71.0)], higher incidence of emergency admission and complicated with obesity and diabetes (52.4% vs. 47.8%, 9.0% vs. 4.0%, 32.0% vs. 22.2%), lower respiratory rate [RR; bpm: times/min: 17.0 (14.0, 20.0) vs. 19.0 (15.0, 22.0)], lower heart rate [HR; bpm: 80.0 (67.0, 89.0) vs. 82.0 (71.5, 93.0)], higher blood pressure [mmHg (1 mmHg ≈ 0.133 kPa): 80.0 (70.7, 90.0) vs. 78.0 (70.0, 88.0)], higher hemoglobin (Hb), blood glucose, blood K + level and serum creatinine [SCr; Hb (g/L): 122.0 (109.0, 136.0) vs. 120.0 (106.0, 135.0), blood glucose (mmol/L): 7.3 (6.1, 8.9) vs. 6.8 (5.7, 8.5), blood K + level (mmol/L): 4.2 (3.9, 4.7) vs. 4.2 (3.8, 4.6), SCr (μmol/L): 88.4 (70.7, 106.1) vs. 79.6 (70.7, 97.2)], lower albumin (ALB) and triacylglycerol [TG; ALB (g/L): 38.0 (35.0, 41.0) vs. 39.0 (37.0, 42.0), TG (mmol/L): 1.4 (1.0, 2.0) vs. 1.5 (1.0, 2.2)] as well as higher incidence of multiple organ dysfunction syndrome (MODS) and sepsis (30.6% vs. 16.2%, 3.3% vs. 1.9%), with significant differences (all P < 0.05). In the output model of Logistic regression, important predictors were lactic acid [Lac; odds ratio ( OR) = 1.062, 95% confidence interval (95% CI) was 1.030-1.100, P = 0.005], obesity ( OR = 2.234, 95% CI was 1.900-2.640, P < 0.001), male ( OR = 0.858, 95% CI was 0.794-0.928, P = 0.049), diabetes ( OR = 1.820, 95% CI was 1.680-1.980, P < 0.001) and emergency admission ( OR = 1.278, 95% CI was 1.190-1.380, P < 0.001). Receiver operator characteristic curve (ROC curve) analysis showed that the AUC of the Logistic regression model for predicting AKI after cardiac surgery was 0.62 (95% CI was 0.61-0.67). After optimizing the XGBoost model parameters by grid search combined with five-fold cross-validation, the model was trained well with no overfitting or overfitting. ROC analysis showed that the AUC of XGBoost model for predicting AKI after cardiac surgery was 0.77 (95% CI was 0.75-0.80), which was significantly higher than that of Logistic regression model ( P < 0.01). After SHAP treatment, in the output model of XGBoost, age and ALB were the most important predictors of the final outcome, where age was the risk factor (average |SHAP value| was 0.434), and ALB was the protective factor (average |SHAP value| was 0.221). Conclusions:Age is an important risk factor for AKI after cardiac surgery, and ALB is a protective factor. The performance of machine learning in predicting cardiac and vascular surgery-associated AKI is better than the traditional Logistic regression. XGBoost can analyze the more complex relationship between variables and outcomes, and can predict the risk of postoperative AKI more accurately and individually.
9.Expressions of melanoma lineage antigens and nuclear antigen Ki-67 and their correlations with prognosis in melanoma patients
BAI Xue ; LI Caili ; MAO Lili ; WEI Xiaoting ; QI Zhonghui ; SHENG Xinan ; CUI Chuanliang ; CHI Zhihong ; LIAN Bin ; WANG Xuan ; YAN Xieqiao ; TANG Bixia ; ZHOU Li ; LI Siming ; DUAN Rong ; XU Huayan ; GUO Jun ; SI Lu
Chinese Journal of Cancer Biotherapy 2021;28(2):157-164
[Abstract] Objective: To explore the expression patterns of melanoma lineage antigens and nuclear antigen Ki-67 and their correlations
with survival in melanoma patients. Methods: A retrospective analysis was conducted to analyze the pathological data of melanoma
patients treated at the Department of Melanoma, Peking University Cancer Hospital from February 2008 to August 2020, mainly
including the expression patterns of melanoma lineage antigens (S-100, HMB-45, Melan-A) and Ki-67, demographics, clinical features
and survival. The correlation between expression patterns of melanoma lineage antigens, Ki-67 and melanoma-specific survival (MSS)
was analyzed. Results: In total, 603 patients were included in this study. The median follow-up time was 47.4 months. The positive
rates of S-100, HMB, and Melan-A were 92.8%, 92.1% and 90.0%, respectively. The percentages of patients with melanoma lineage antigen scores
(S-100, HMB-45 and Melan-A was scored each, as 1 when positive and 0 when negative) of 0, 1, 2, and 3 were 0.5%, 5.0%, 15.6%, and
78.8%, respectively. The percentages of patients with Ki-67 scores of 0, 1, 2, and 3 were 43.0%, 36.3%, 16.3%, and 4.5%, respectively.
Ki-67 was highly expressed in mucosal and progressive melanomas. In a multivariate analysis, Ki-67 expression was an independent
prognostic factor for poorer MSS (HR=1.506, 95%CI: 1.248-1.818, P<0.001) as the incidence of MSS event increased by 50% per 25%
increase in Ki-67 expression, whereas there was no statistical correlation between melanoma lineage antigen expression and MSS
(HR=0.991, 95%CI: 0.759-1.293, P=0.94). Conclusion: High expressions melanoma lineage antigens are ubiquitous in melanoma
tissues, and Ki-67 is an independent prognostic factor for MSS.

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