ObjectiveTo investigate the changing trend of hemoglobin （Hb） and related influencing factors in patients with liver failure after artificial liver support system （ALSS） therapy. MethodsA total of 106 patients with liver failure who were hospitalized and received ALSS therapy in our hospital from January to December 2018 were enrolled and analyzed in terms of clinical data and red blood cell parameters such as Hb， mean corpuscular volume （MCV）， mean corpuscular hemoglobin （MCH）， mean corpuscular hemoglobin concentration （MCHC）， and red blood cell distribution width-coefficient of variation （RDW-CV）. A one-way repeated-measures analysis of variance was used for comparison of continuous data with repeated measurement between groups， and the paired t-test was used for comparison between two groups. The Kruskal-Wallis H test was used for comparison of continuous data with skewed distribution between multiple groups， the Mann-Whitney U test was used for further comparison between two groups. Univariate and multivariate linear regression analyses were used to identify the influencing factors for the reduction in Hb after ALSS therapy. ResultsThe 106 patients with liver failure received 606 sessions of ALSS therapy， and Hb was measured for 402 sessions before and after treatment. There was a significant reduction in Hb after ALSS therapy in the patients with liver failure （97.49±20.51 g/L vs 109.38±20.22 g/L， t=32.764， P<0.001）. Longitudinal observation was further performed for 14 patients with liver failure， and the results showed that the level of Hb was 108.50±21.61 g/L before the last session of ALSS therapy， with certain recovery compared with the level of Hb （103.14±19.15 g/L） on the second day after ALSS， and there was an increase in Hb on day 3 （102.57±21.73 g/L） and day 7 （105.57±22.04 g/L） after surgery. The level of Hb in patients with liver failure on the second day after ALSS decreased with the increase in the number of ALSS sessions （F=8.996， P<0.001）， while MCV and MCH gradually increased with the increase in the number of ALSS sessions （F=9.154 and 13.460， P=0.004 and P<0.001）， and RDW-CV first gradually increased and then gradually decreased （F=4.520， P=0.032）； MCHC showed fluctuations with no clear trend （F=0.811， P=0.494）. The multivariate linear regression analysis showed that the duration of ALSS therapy， the mode of ALSS therapy， and initial treatment were independent risk factors for the reduction in Hb after ALSS therapy. ConclusionALSS therapy can influence the level of peripheral blood Hb in patients with liver failure， and patient blood management should be strengthened for patients with liver failure who are receiving ALSS therapy.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Objective To observe the effect of remifentanil-based fast-track anesthesia on the quality of anesthesia recovery in children with congenital heart disease underwent transcatheter closure.Methods Children with congenital heart disease who underwent transcatheter closure were divided into treatment group and control group according to the anesthesia plan.The anesthesia plan of the control group was as follows:anesthesia induction(intramuscular injection of ketamine at 4 mg·kg-1,intravenous injection of propofol at 2.5 mg·kg-1,fentanyl at 10 μg·kg-1and cisatracurium at 0.1 mg·kg-1)and anesthesia maintenance(fentanyl at0.4μg·kg-1·min-1 and propofol at 8 μg·kg-1·min-1).The anesthesia plan of the treatment group was as follows:anesthesia induction(intramuscular injection of ketamine at 5 mg·kg-,intravenous injection of midazolam at 0.1 mg·kg-1,sufentanil at 1.0 μg·kg-1 and cisatracurium at 0.1 mg·kg-1)and anesthesia maintenance(remifentanil at 0.5 μg·kg-1·min-1 and propofol at 8 μg·kg-1·min-1).Anesthesia recovery,facial expression,leg posture,activity,crying and comfortability(FLACC)of 5 pain scores,Ramsay score,hemodynamics,myocardial injury indexes,and adverse drug reactions were compared between the two groups.Results There were 64 cases in treatment group and 56 cases in control group.The spontaneous respiration recovery time,call time and extubation time of the treatment group were(4.87±1.22),(10.16±2.58)and(12.55±3.19)min,shorter than those in control group,which were(5.49±1.35),(13.34±3.27)and(15.67±3.62)min(all P＜0.05).At 1 h and 2 h after operation,Ramsay scores of treatment group were 2.58±0.35 and 3.69±0.42,were lower than 3.02±0.47 and 4.24±0.39 in control group(all P＜0.05).At 1 h and 2 h after operation,the FLACC scores of the treatment group were 3.03±0.81 and 3.75±0.84,lower than 3.78±0.62 and 4.36±0.51 in control group(all P＜0.05).Mean arterial pressure(MAP)of treatment group at the insertion of laryngeal mask,the insertion of occluder and the end of the operation were(102.45±10.26),(94.18±8.37)and(91.46±10.15)mmHg,lower than those in control group,which were(107.84±10.11),(100.57±9.84)and(97.33±8.53)mmHg(all P＜0.05).On day 1 and day 3 after operation,serum creatine kinase isoenzyme(CK-MB)levels in the treatment group were(10.03±2.58)and(8.65±2.16)U·L-1,lower than those in control group,which were(12.44±3.07)and(10.16±2.35)U·L-1(all P＜0.05).On day 1 and day 3 after operation,serum cardiac troponin Ⅰ(cTn Ⅰ)levels in treatment group[(0.07±0.02)and(0.04±0.01)μg·L-1]were lower than those in control group[(0.09±0.03)and(0.06±0.02)μg·L-1](all P＜0.05).The incidence of adverse anesthesia reactions in treatment group was 6.25％(4 cases/64 cases),lower than 17.86％(10 cases/56 cases)in control group(P＜0.05).Conclusion Remifentanil-based fast-track anesthesia can improve the quality of anesthesia recovery in children with congenital heart disease undergoing transcatheter closure,with good sedative and analgesic effects,stable hemodynamics during operation,and low incidence of adverse drug reactions.

Objective To investigate the distribution characteristics of pathogens in adult community-acquired pneumonia(CAP)patients who visited the fever clinic before and after the outbreak of the novel coronavirus infection,and to provide theoretical basis for the diagnosis,treatment,and prevention of CAP.Methods CAP patients who visited the fever clinic of Peking University Third Hospital from June 2017 to July 2022 were included in the study and divided into pre-outbreak and post-outbreak groups based on the time point(January 24,2020,when Beijing entered the first-level COVID-19 prevention and control).Respiratory samples were collected and pathogen nucleic acid detection was performed using real-time fluorescence quantitative polymerase chain reaction.The detection and distribution of pathogens were analyzed.Results A total of 415 CAP patients were included,divided into pre-outbreak group(312 cases)and post-outbreak group(103 cases).Mycoplasma pneumoniae,Streptococcus pneumoniae,and Influenza A virus were the three most common pathogens in the pre-outbreak CAP group.In the post-outbreak community-acquired pneumonia,Influenza B virus,Klebsiella pneumoniae and Streptococcus pneumoniae were the three most common pathogens.The incidence of Influenza A virus,Parainflluenza virus,and Mycoplasma pneumoniae was significantly higher in the pre-outbreak period than in the post-outbreak period,and the differences between the two groups were statistically significant(all P＜0.05).Conclusion Before and after the epidemic,viral infection are the main pathogens of CAP patients,which is of great significance for future empirical treatment,protection of susceptible population and control of infectious diseases.

Objective To study the bioequivalence of two glipizide tablets in healthy Chinese subjects.Methods Randomized,open,single-administration,two-period,self-cross-over trial design was used in the study.There were 28 Chinese healthy subjects in the fasted state and 28 in the fed state,complete repeat cross single dose oral glipizide tablets test preparation or reference preparation 5 mg.The plasma concentration of glipizide was determined by liquid chromatography/tandem mass spectrometry at different time points after administration.The non-compartmental model was used to calculate the pharmacokinetic parameters and evaluate the bioequivalence of the two formulations.Results The main pharmacokinetic parameters of glipizide in the fasted state were as follows:Cmax were(551.60±91.26)and(518.10±105.10)ng·mL-1;AUC0-t were(3 074.33±861.91)and(3 026.77±934.25)h·ng·mL-1;AUC0-∞ were(3 204.85±990.78)and(3 166.35±1 107.36)h ng·mL-1.The parameters of glipizide in the fed state were as follows:Cmax were(517.30±98.97)and(472.80±114.48)ng·mL-1;AUC0-t were(3 001.12±830.87)and(2 932.79±736.35)h·ng·mL-1;AUC0-∞ were(3 067.00±918.84)and(2 997.44±819.14)h·ng·mL-1.The 90％confidence interval of the Cmax,AUC0-t and AUC0-∞ of the test formulation and the reference formulation were from 80.00％to 125.00％.The incidence of adverse events in fasted group and fed group was no serious adverse events.Conclusion The two glipizide tablets were bioequivalent under fasted and fed conditions,and good security.

Objective:To analyze the correlation between peripheral blood lymphocyte subsets, especially B cells, and the relapse of autoimmune encephalitis (AE).Methods:A retrospective analysis was conducted on patients with AE who were diagnosed and treated in Peking Union Medical College Hospital from January 2012 to January 2023. The clinical data including gender, age and changes in related indicators of CD19 +B cells, CD16/56 +NK cells, CD3 +T cells, CD4 +T cells, CD8 +T cells, IgG, IgA, and IgM before and after recurrence were analyzed.Binary Logistic regression analysis was applied to the study of correlation between AE recurrence and gender, age, CD19 +B cells, CD16/56 +NK cells, CD3 +T cells, CD4 +T cells, CD8 +T cells, IgG, IgA and IgM. The receiver operating characteristic (ROC) curves of the cells that affect AE recurrence (CD19 +B cells, CD16/56 +NK cells, CD3 +T cells, CD4 +T cells and CD8 +T cells) were plotted separately. Results:A total of 198 eligible AE patients were included, including 98 males and 100 females, aged (39.52±17.91) years. Among these patients, 78 cases had relapses, with a recurrence rate of 39.4%. The results of Logistic regression analysis showed that CD19 +B cells ( B=0.006, P<0.001), CD16/56 +NK cells ( B=0.004, P<0.05), CD3 +T cells ( B=-0.011, P<0.05), CD4 +T cells ( B=0.014, P<0.05) and CD8 +T cells ( B=0.010, P<0.05) were highly correlated with the relapse of AE. ROC curve analysis showed that CD19 +B cells (area under the curve: 0.833, P<0.001, critical value: 73.5/μl; sensitivity: 69.2%, specificity: 86.7%), CD3 +T cells (area under the curve: 0.784, P<0.001), CD4 +T cells (area under the curve: 0.808, P<0.001), and CD8 +T cells (area under the curve: 0.742, P<0.001) all had a certain predictive value for AE relapse. Among all the indicators, the area under the curve of CD19 +B cells was the largest, which had a higher value in predicting AE recurrence. Conclusion:The increase in peripheral blood CD19 +B cells has high predictive value for the relapse of AE.