Objective:To investigate the methodological differences in the detection, the inflammatory markers and the pathogenic epidemiological characteristics of influenza A virus in clinical laboratories, in order to provide more diagnostic and epidemiological data for diagnosis and prevention for children with influenza A.Methods:A retrospective cross-sectional study was conducted to collect 96 731 patients with suspected influenza A from January 2016 to October 2024 in Nanyang City Center Hospital from the Clinical Laboratory Testing Information System, including 5 731 patients with confirmed influenza A, aged 5.2 (2.8, 43.7) years old. We analyzed the distribution of influenza A patients from age and mixed infections, the relationship between patient age and positive detection rate by restricted cubic spline (RCS), analyzed differences in testing methods used Kappa consistency testing and receiver operating characteristic (ROC) curves, established a model of inflammatory markers by logistic regression, as well as developed a prediction model and also the mutation of the hemagglutinin (HA) sequence of the influenza A subtype H3N2 virus using evolutionary tree analysis.Results:RCS analysis showed an inverted 'S' shaped non-linear relationship between the positive detection rate of influenza A and the age groups of the patients. Among the mixed infections, 1.43%(1 352/94 867) of the cases were combined with Mycoplasma pneumoniae infection. The Kappa values of reverse transcription PCR (RT-PCR) and serological indirect immunofluorescence assay (IFA) for detecting influenza A in nasopharyngeal swabs and alveolar lavage fluid in clinical laboratories were 0.632 and 0.809, respectively, and those of magnetic particle chemiluminescence assay were 0.614 and 0.668, respectively, and the area under curves in ROC curve of IFA and RT-PCR were 0.869 and 0.792, respectively. The inflammatory indexes were usually elevated in severe children compared with mild children. By binary logistic regression model analysis, neutrophil-to-lymphocyte ratio, D-dimer/fibrinogen and prognosis nutrition index were the risk factors and serum amyloid A/C reactive protein ratio was the protective factor for severe children with influenza A, and the OR values of the above factors were 1.760, 7.076, 1.045, and 0.719, respectively, and P<0.01. By the Bayesian Interdiction Criterion, the optimal seasonal autoregressive moving average mixed model for influenza A epidemics was ARIMA (1, 1, 1) (2, 1, 2) 12 with the highest prediction accuracy of 98.63%. The seven strains of H3N2 all belonged to the same isoforms, with nucleotide similarity of the HA gene ranging from 99.5% to 99.9%, and the glycosylation site, receptor-binding site, and the conserved amino acid residue Glycosylation sites, receptor binding sites and conserved amino acid residues remained unchanged. HA sequence analysis showed that the prevalent strains in Nanyang had undergone mutation to different degree compared with the vaccine strains. Conclusion:Scientific and rational testing and characteristic inflammatory markers in the clinical laboratory are of great clinical value in the diagnosis of children with severe influenza A. At the same time, the epidemiological monitoring of influenza A variants should be strengthened.

Objective:To explore the evaluation and relationship of hepatitis B virus(HBV)surface antigen(HBsAg)in clinical laboratory in different detection systems,further scientifically and reasonably to explain the test results for serving clinical practices.Methods:During the period from June 2021 to July 2022,100 425 specimens of patients with screened,suspected and confirmed HBV infections were collected from the clinical departments(mainly infectious hepatology)of Nanyang Central Hospital.Detection methodology included quantitative(electrochemiluminescence and chemiluminescence),qualitative(gold standard),semi-quantita-tive(ELISA),and highly sensitive HBV-DNA(RT-PCR)methods,and then analyzed the strengths and weaknesses and closeness be-tween each methodology.The relationship between the two Roche HBsAg detection systems was analyzed by correlation analysis.The HBsAg efficacy analysis was validated using Cut/Off value setting and detection limit,which in turn analyzed the distribution of false-positive and false-negative reporting models.Results:Detection results for low-and medium-concentration HBsAg showed a correla-tion between the electrochemical luminescence semi-quantitative method and ELISA method.ELISA method still had advantages in terms of sensitivity and specificity when detecting HBsAg,and there were no significant differences compared to domestic and interna-tional HBsAg quantitative detection systems.Performance validation conducted in accordance with the CNAS-GL038 document showed that the minimum detection limit for HBsAg calculated using the ELISA method in this laboratory was 0.1 U/ml.When the ROC curve Cut/Off value was set to 0.105,the area under the curve was the largest(AUC=0.986).Based on Roche's semi-quantitative electroche-miluminescence detection and patient medical history,in the common reporting model for hepatitis B five-item detection using ELISA method,HBsAg false positives occurred most frequently when HBsAg was positive alone,and HBsAg occurred most frequently in the false positive range when the OD value was less than 0.5.In ELISA method for detecting HBsAg,as the OD value increased from 0.01 to 0.10,the number of false-negative results also increased.Roche Elecsys HBsAg Ⅱ Quant Ⅱ and Elecsys HBsAg Ⅱ testing systems exhibited good linearity under certain conditions,with a ratio of approximately 1/0.18.In Elecsys HBsAg Ⅱ Quant Ⅱ detection sys-tem,the test results of HBsAg samples diluted 400 times were highly consistent with the original test results with a coefficient of deter-mination R2=0.993 8.Conclusion:There was a certain relationship between various detection systems of HBsAg at a suitable concen-tration.The detection of HBsAg by ELISA can meet the needs of clinical detection.

Objective:To explore the evaluation and relationship of hepatitis B virus(HBV)surface antigen(HBsAg)in clinical laboratory in different detection systems,further scientifically and reasonably to explain the test results for serving clinical practices.Methods:During the period from June 2021 to July 2022,100 425 specimens of patients with screened,suspected and confirmed HBV infections were collected from the clinical departments(mainly infectious hepatology)of Nanyang Central Hospital.Detection methodology included quantitative(electrochemiluminescence and chemiluminescence),qualitative(gold standard),semi-quantita-tive(ELISA),and highly sensitive HBV-DNA(RT-PCR)methods,and then analyzed the strengths and weaknesses and closeness be-tween each methodology.The relationship between the two Roche HBsAg detection systems was analyzed by correlation analysis.The HBsAg efficacy analysis was validated using Cut/Off value setting and detection limit,which in turn analyzed the distribution of false-positive and false-negative reporting models.Results:Detection results for low-and medium-concentration HBsAg showed a correla-tion between the electrochemical luminescence semi-quantitative method and ELISA method.ELISA method still had advantages in terms of sensitivity and specificity when detecting HBsAg,and there were no significant differences compared to domestic and interna-tional HBsAg quantitative detection systems.Performance validation conducted in accordance with the CNAS-GL038 document showed that the minimum detection limit for HBsAg calculated using the ELISA method in this laboratory was 0.1 U/ml.When the ROC curve Cut/Off value was set to 0.105,the area under the curve was the largest(AUC=0.986).Based on Roche's semi-quantitative electroche-miluminescence detection and patient medical history,in the common reporting model for hepatitis B five-item detection using ELISA method,HBsAg false positives occurred most frequently when HBsAg was positive alone,and HBsAg occurred most frequently in the false positive range when the OD value was less than 0.5.In ELISA method for detecting HBsAg,as the OD value increased from 0.01 to 0.10,the number of false-negative results also increased.Roche Elecsys HBsAg Ⅱ Quant Ⅱ and Elecsys HBsAg Ⅱ testing systems exhibited good linearity under certain conditions,with a ratio of approximately 1/0.18.In Elecsys HBsAg Ⅱ Quant Ⅱ detection sys-tem,the test results of HBsAg samples diluted 400 times were highly consistent with the original test results with a coefficient of deter-mination R2=0.993 8.Conclusion:There was a certain relationship between various detection systems of HBsAg at a suitable concen-tration.The detection of HBsAg by ELISA can meet the needs of clinical detection.

Objective:To investigate the methodological differences in the detection, the inflammatory markers and the pathogenic epidemiological characteristics of influenza A virus in clinical laboratories, in order to provide more diagnostic and epidemiological data for diagnosis and prevention for children with influenza A.Methods:A retrospective cross-sectional study was conducted to collect 96 731 patients with suspected influenza A from January 2016 to October 2024 in Nanyang City Center Hospital from the Clinical Laboratory Testing Information System, including 5 731 patients with confirmed influenza A, aged 5.2 (2.8, 43.7) years old. We analyzed the distribution of influenza A patients from age and mixed infections, the relationship between patient age and positive detection rate by restricted cubic spline (RCS), analyzed differences in testing methods used Kappa consistency testing and receiver operating characteristic (ROC) curves, established a model of inflammatory markers by logistic regression, as well as developed a prediction model and also the mutation of the hemagglutinin (HA) sequence of the influenza A subtype H3N2 virus using evolutionary tree analysis.Results:RCS analysis showed an inverted 'S' shaped non-linear relationship between the positive detection rate of influenza A and the age groups of the patients. Among the mixed infections, 1.43%(1 352/94 867) of the cases were combined with Mycoplasma pneumoniae infection. The Kappa values of reverse transcription PCR (RT-PCR) and serological indirect immunofluorescence assay (IFA) for detecting influenza A in nasopharyngeal swabs and alveolar lavage fluid in clinical laboratories were 0.632 and 0.809, respectively, and those of magnetic particle chemiluminescence assay were 0.614 and 0.668, respectively, and the area under curves in ROC curve of IFA and RT-PCR were 0.869 and 0.792, respectively. The inflammatory indexes were usually elevated in severe children compared with mild children. By binary logistic regression model analysis, neutrophil-to-lymphocyte ratio, D-dimer/fibrinogen and prognosis nutrition index were the risk factors and serum amyloid A/C reactive protein ratio was the protective factor for severe children with influenza A, and the OR values of the above factors were 1.760, 7.076, 1.045, and 0.719, respectively, and P<0.01. By the Bayesian Interdiction Criterion, the optimal seasonal autoregressive moving average mixed model for influenza A epidemics was ARIMA (1, 1, 1) (2, 1, 2) 12 with the highest prediction accuracy of 98.63%. The seven strains of H3N2 all belonged to the same isoforms, with nucleotide similarity of the HA gene ranging from 99.5% to 99.9%, and the glycosylation site, receptor-binding site, and the conserved amino acid residue Glycosylation sites, receptor binding sites and conserved amino acid residues remained unchanged. HA sequence analysis showed that the prevalent strains in Nanyang had undergone mutation to different degree compared with the vaccine strains. Conclusion:Scientific and rational testing and characteristic inflammatory markers in the clinical laboratory are of great clinical value in the diagnosis of children with severe influenza A. At the same time, the epidemiological monitoring of influenza A variants should be strengthened.

Objective To minimize variations in treatment outcomes of L5/S1 percutaneous intervertebral radiofrequency thermocoagulation(PIRFT)arising from physician proficiency and achieve precise quantitative risk assessment of the puncture paths.Methods We used a self-developed deep neural network DWT-UNet for automatic segmentation of the magnetic resonance(MR)images of the L5/S1 segments into 7 key structures:L5,S1,Ilium,Disc,N5,Dura mater,and Skin,based on which a needle insertion path planning environment was modeled.Six hard constraints and 6 soft constraints were proposed based on clinical criteria for needle insertion,and the physician's experience was quantified into weights using the analytic hierarchy process and incorporated into the risk function for needle insertion paths to enhance individual case adaptability.By leveraging the proposed skin entry point sampling sub-algorithm and Kambin's triangle projection area sub-algorithm in conjunction with the analytic hierarchy process,and employing various technologies such as ray tracing,CPU multi-threading,and GPU parallel computing,a puncture path was calculated that not only met clinical hard constraints but also optimized the overall soft constraints.Results A surgical team conducted a subjective evaluation of the 21 needle puncture paths planned by the algorithm,and all the paths met the clinical requirements,with 95.24%of them rated excellent or good.Compared with the physician's planning results,the plans generated by the algorithm showed inferior DIlium,DS1,and Depth(P<0.05)but much better DDura,DL5,DN5,and AKambin(P<0.05).In the 21 cases,the planning time of the algorithm averaged 7.97±3.73 s,much shorter than that by the physicians(typically beyond 10 min).Conclusion The multi-constraint optimal puncture path planning algorithm offers an efficient automated solution for PIRFT of the L5/S1 segments with great potentials for clinical application.

Objective To minimize variations in treatment outcomes of L5/S1 percutaneous intervertebral radiofrequency thermocoagulation(PIRFT)arising from physician proficiency and achieve precise quantitative risk assessment of the puncture paths.Methods We used a self-developed deep neural network DWT-UNet for automatic segmentation of the magnetic resonance(MR)images of the L5/S1 segments into 7 key structures:L5,S1,Ilium,Disc,N5,Dura mater,and Skin,based on which a needle insertion path planning environment was modeled.Six hard constraints and 6 soft constraints were proposed based on clinical criteria for needle insertion,and the physician's experience was quantified into weights using the analytic hierarchy process and incorporated into the risk function for needle insertion paths to enhance individual case adaptability.By leveraging the proposed skin entry point sampling sub-algorithm and Kambin's triangle projection area sub-algorithm in conjunction with the analytic hierarchy process,and employing various technologies such as ray tracing,CPU multi-threading,and GPU parallel computing,a puncture path was calculated that not only met clinical hard constraints but also optimized the overall soft constraints.Results A surgical team conducted a subjective evaluation of the 21 needle puncture paths planned by the algorithm,and all the paths met the clinical requirements,with 95.24%of them rated excellent or good.Compared with the physician's planning results,the plans generated by the algorithm showed inferior DIlium,DS1,and Depth(P<0.05)but much better DDura,DL5,DN5,and AKambin(P<0.05).In the 21 cases,the planning time of the algorithm averaged 7.97±3.73 s,much shorter than that by the physicians(typically beyond 10 min).Conclusion The multi-constraint optimal puncture path planning algorithm offers an efficient automated solution for PIRFT of the L5/S1 segments with great potentials for clinical application.

【Objective】 To investigate the changes of platelet, white blood cell, red blood cell counts, Hb and PCV before and after plateletpheresis donation. 【Methods】 10 444 platelet donors who donated platelet from Aug 1, 2019 to Jul 31, 2020 were selected as subjects, among which first-time donors were selected as control group and donors who donated twice or more as donation group. After matching gender and age using Propensity Score Matching method in the two groups, the changes of platelet, white blood cell, red blood cell counts, Hb and PCV of platelet blood donors were compared by t test. 【Results】 There were a slight increase in Plt (t=-6.651, P<0.05), a decrease in WBC (t=2.312, P<0.05), a decrease in hemoglobin(t=4.643, P<0.05), and no change in RBC (t=1.439, P>0.05) and in PCV (t=0.030, P>0.05) after plateletpheresis donation. 【Conclusion】 Plateletpheresis donation has an effect on some peripheral blood parameters, but within the normal reference range.

With the development of technology and instruments, more and more giant liver tumors have been resected under laparoscopy. Compared with traditional approach hepatectomy, anterior hepatectomy is more suitable for laparoscopic resection of huge liver tumors, and it is also more in line with the " tumor-free principle" when it is used in the resection of liver malignant tumors. Our team summarized the experiences and lessons of laparoscopic hepatectomy and communicated with domestic and foreign experts to form a set of single center standardized process of laparoscopic anterior right hepatectomy, which is summarized as follows.

Objective:To explore the effect of functional electrical stimulation on cognition and on the expression of the brain-derived neurotrophic factor (BDNF), synaptophysin (SYN) and microtubule-associated protein 2 (MAP2) using a rat model of vascular dementia.Methods:Ninety pathogen-free male Wistar rats were randomly divided into a sham operation group, a placebo stimulation group and an electrical stimulation group. Both the placebo and electrical stimulation groups underwent bilateral occlusion of the common carotid artery to establish a model of vascular dementia. In the sham operation group the arteries were exposed without occlusion. Each group was then sub-divided into 3, 7 and 14 days subgroups with 10 rats in each subgroup. Beginning seven days after the surgery, the rats in the electrical stimulation group were given 30-minutes of stimulation every day while those in the sham operation group and the placebo stimulation group were given false electrical stimulation. After 3, 7 or 14 days the rats′ cognitive functioning was quantified using the Morris water maze test. The rats were then sacrificed and the expression of BDNF mRNA was measured using in situ hybridization. MAP2 and SYN levels were quantified immunohistochemically.Results:After 14 days the average latency in the placebo stimulation group was significantly longer than in the other groups. On the sixth day the average time in the target zone among the placebo stimulation group was significantly shorter than the other two groups′ averages. After only 3 days of simulation, the average expression of BDNF mRNA in the CA1 area of the hippocampus was significantly lower in the placebo stimulation group than among the others. After 7 days of stimulation the placebo group′s average was significantly lower than that of the sham operation group. The average expression of MAP2 had decreased significantly in the placebo stimulation group compared with the other two groups after 7 and 14 days of simulation. After 7 days the average expression of SYN in the placebo stimulation group was significantly lower than in the sham operation group, and after 14 days it was significantly lower than in the other two groups.Conclusions:Functional electrical stimulation may improve learning and memory in rats modelling vascular dementia through increasing BDNF, SYN and MAP2 expression levels.

To meet the requirement of pathological practice and development, we systematically analyzed the situation of pathological residents training and the importance of initiating the clinical scientific research training. Additionally, we proposed the principle and implementation strategy for clinical scientific research training. According to features of pathological practice, we employed the modularized teaching to divide the training courses into several modules: discussion module for clinical pathology, lecture module for advanced research, and training modules for basic scientific theory, technology and writing skill. With these approaches, the systematic and structured system of standardized residents training is implemented to improve the clinical research ability of pathological residents.