1.Erratum: Author correction to "Sphingosine-1-phosphate, a novel TREM2 ligand, promotes microglial phagocytosis to protect against ischemic brain injury" Acta Pharm Sin B 12 (2022) 1885-1898.
Tengfei XUE ; Juan JI ; Yuqin SUN ; Xinxin HUANG ; Zhenyu CAI ; Jin YANG ; Wei GUO ; Ruobing GUO ; Hong CHENG ; Xiulan SUN
Acta Pharmaceutica Sinica B 2025;15(5):2813-2814
[This corrects the article DOI: 10.1016/j.apsb.2021.10.012.].
2.Validation of a predictive model for platelet transfusion refractoriness in patients with hematological diseases
Xiulan HUANG ; Shuhan YUE ; Qun CAI ; Liqi LU ; Mengzhen HE ; Qiao LEI ; Caoyi LIU ; Jingwei ZHANG
Chinese Journal of Blood Transfusion 2025;38(4):537-545
[Objective] To validate and optimize the platelet transfusion refractoriness (PTR) prediction model for patients with hematological disorders established by our center. [Methods] The data of patients with hematological diseases who received platelet transfusions from December 2021 to December 2022 were used as the training set, and data from January 2023 to December 2023 as the validation set. The validation set data was used to validate the predictive model constructed on the training set. Relevant risk factors for PTR were collected through literature review and preliminary studies。 The patients were divided into effective and ineffective groups according to the corrected count increment (CCI) of platelet counts. Predictive factors were screened using univariate and multivariate logistic regression. The calibration of the model were assessed via calibration curves, while discrimination, accuracy, sensitivity, and specificity were evaluated using receiver operating characteristic (ROC) curves Clinical utility was further analyzed with decision curve analysis (DCA). [Results] The Hosmer-Lemeshow (H-L) goodness-of-fit test for the validation set yielded S: P=0.000, indicating that the original model needs optimization. Baseline comparisons and logistic regression identified the number of red blood cell units (RBCU) and platelet units (PLT-U) transfused as key predictors for the optimized model. The H-L goodness-of-fit test S: P values for the training and validation sets were 0.930 and 0.056, respectively; the ROC areas were 0.793 5 and 0.809 4, specificities 90.95% and 84.21%, sensitivities 59.26% and 70.04%, and accuracies 78.14% and 74.10%, respectively. DCA demonstrated clinical net benefit within a prediction probability threshold range of 0.2-0.8. [Conclusion] Transfusion volumes of RBC-U and PLT-U were inversely associated with PTR in hematological patients. The resulting PTR prediction model exhibits moderate predictive efficacy and clinical benefit.
3.Analysis of liver histological characteristics and clinically related factors in patients with inactive HBsAg carriers
Xinyang ZHANG ; Shan REN ; Sujun ZHENG ; Rongshan FAN ; Qingfa RUAN ; Wenqi HUANG ; Haibing GAO ; Yao XIE ; Minghui LI ; Xiulan XUE ; Fang YANG ; Junliang FU ; Xinyue CHEN
Chinese Journal of Hepatology 2025;33(7):660-666
Objective:To analyze the liver histological characteristics and clinically related factors in inactive hepatitis B surface antigen (HBsAg) carriers (IHC), and also explore whether antiviral treatment is necessary for IHC, as defined in the 2022 version of the hepatitis B prevention and treatment guidelines.Methods:A multicenter, retrospective cohort study was conducted. Two hundred and thirty-one IHC cases who underwent liver biopsy histopathological examination in nine medical institutions, including Beijing Youan Hospital affiliated with Capital Medical University, from January 2018 to December 2023 were included. General informative data, clinical serological markers, and transient elastography (TE) examination results were collected. Patients were divided into a positive (148 cases) and a negative group (83 cases) according to the results of hepatitis B virus (HBV) DNA detection. The differences in liver pathological inflammatory activity (G) and liver fibrosis stage (S) were analyzed between the two groups to explore the correlation between liver tissue conditions and clinically related factors. Comparsions of normally distributed continwous data, skeukd continuous data, and categorical data between groups are performed using t tests, Mann-Whitney U tests and χ2 tests, respectively. Results:The age of 231 IHC cases was 43 (38, 51) years old, with 95.2% (220/231) aged ≥30 years, and males accounted for 64.9% (150/231). HBsAg and HBV DNA levels were 131.9 (20.8, 400.9) IU/mL and 94.0 (0, 448.5) IU/mL, respectively, of which 35.9% (83/231) were HBV DNA negative (<20 IU/mL). The remarkable proportions of G≥2, S≥2, and liver injury (G≥2 and/or S≥2) in liver tissue were 16.5% (38/231), 29% (67/231), and 35.9% (83/231), respectively. The S≥2 proportion was significantly higher in the HBV DNA-negative group than the positive group (42.2% vs. 21.6%, P<0.001), and it mainly occurred in the population cohort over 30 years old (44.9% vs. 31.0%, P=0.04). The liver stiffness measurement (LSM), aspartate transaminase to platelet ratio index (APRI), and platelet (PLT) were significantly higher in the S≥2 group than the S<2 group ( P<0.05). Conclusion:Clinicians can comprehensively evaluate the degree of liver fibrosis in IHC based on clinical factors such as age, PLT, APRI, and LSM, even if the liver histological results are lacking. The China 2022 version guidelines define that nearly half of IHC has histological indications for antiviral therapy, and liver biopsy and prompt treatment can be recommended.
4.Analysis of liver histological characteristics and clinically related factors in patients with inactive HBsAg carriers
Xinyang ZHANG ; Shan REN ; Sujun ZHENG ; Rongshan FAN ; Qingfa RUAN ; Wenqi HUANG ; Haibing GAO ; Yao XIE ; Minghui LI ; Xiulan XUE ; Fang YANG ; Junliang FU ; Xinyue CHEN
Chinese Journal of Hepatology 2025;33(7):660-666
Objective:To analyze the liver histological characteristics and clinically related factors in inactive hepatitis B surface antigen (HBsAg) carriers (IHC), and also explore whether antiviral treatment is necessary for IHC, as defined in the 2022 version of the hepatitis B prevention and treatment guidelines.Methods:A multicenter, retrospective cohort study was conducted. Two hundred and thirty-one IHC cases who underwent liver biopsy histopathological examination in nine medical institutions, including Beijing Youan Hospital affiliated with Capital Medical University, from January 2018 to December 2023 were included. General informative data, clinical serological markers, and transient elastography (TE) examination results were collected. Patients were divided into a positive (148 cases) and a negative group (83 cases) according to the results of hepatitis B virus (HBV) DNA detection. The differences in liver pathological inflammatory activity (G) and liver fibrosis stage (S) were analyzed between the two groups to explore the correlation between liver tissue conditions and clinically related factors. Comparsions of normally distributed continwous data, skeukd continuous data, and categorical data between groups are performed using t tests, Mann-Whitney U tests and χ2 tests, respectively. Results:The age of 231 IHC cases was 43 (38, 51) years old, with 95.2% (220/231) aged ≥30 years, and males accounted for 64.9% (150/231). HBsAg and HBV DNA levels were 131.9 (20.8, 400.9) IU/mL and 94.0 (0, 448.5) IU/mL, respectively, of which 35.9% (83/231) were HBV DNA negative (<20 IU/mL). The remarkable proportions of G≥2, S≥2, and liver injury (G≥2 and/or S≥2) in liver tissue were 16.5% (38/231), 29% (67/231), and 35.9% (83/231), respectively. The S≥2 proportion was significantly higher in the HBV DNA-negative group than the positive group (42.2% vs. 21.6%, P<0.001), and it mainly occurred in the population cohort over 30 years old (44.9% vs. 31.0%, P=0.04). The liver stiffness measurement (LSM), aspartate transaminase to platelet ratio index (APRI), and platelet (PLT) were significantly higher in the S≥2 group than the S<2 group ( P<0.05). Conclusion:Clinicians can comprehensively evaluate the degree of liver fibrosis in IHC based on clinical factors such as age, PLT, APRI, and LSM, even if the liver histological results are lacking. The China 2022 version guidelines define that nearly half of IHC has histological indications for antiviral therapy, and liver biopsy and prompt treatment can be recommended.
5.Prediction model of platelet transfusion refractoriness in patients with hematological disorders
Shuhan YUE ; Xiulan HUANG ; Yan ZENG ; Qiao LEI ; Mengzhen HE ; Liqi LU ; Shisong YOU ; Jingwei ZHANG
Chinese Journal of Blood Transfusion 2024;37(8):890-895,939
Objective To explore the risk factors for platelet transfusion refractoriness(PTR)in patients with hemato-logical disorders,construct a prediction model and validate the model efficacy.Methods Patients with hematological disor-ders who received platelet transfusion therapy in the Chengdu Second People's Hospital from December 2021 to December 2022 were retrospectively included to judge the effectiveness of platelet transfusion and screened for risk factors by univariate and multivariate logistic regression.A prediction model for PTR was constructed using receiver operating characteristic(ROC)curve,calibration curve and decision curve(DCA)to assess the differentiation,calibration and clinical value of the model,respectively.Results A total of 334 hematological patients were included,including 168 males and 176 females,with a PTR incidence of 40.4%.Univariate and multivariate logistic regression analysis showed that platelet transfusion vol-ume,erythrocyte transfusion volume,and neutrophil ratio were risk factors for PTR(P<0.05).A prediction model for PTR in hematological patients was established based on these risk factors.The area under the model's curve was 0.8377(95%CI:0.723-0.772),the sensitivity was 58.52%,and the specificity was 89.95%.The calibration curve showed that the S∶P was 0.964,the maximum absolute difference Emax was 0.032,and the average absolute difference Eavg was 0.009.The DCA a-nalysis showed that the model had clinical application value when the risk threshold ranged from 0.2 to 0.9.Conclusion The PTR prediction model based on platelet transfusion volume,erythrocyte transfusion volume and neutrophil ratio can pro-vide a basis for effective platelet transfusion in hematological patients.
6.Genetic testing results and clinical characteristics study of PICU patients with unknown pathogenesis
Juan LIU ; Yu ZHENG ; Jiaotian HUANG ; Ping ZANG ; Zhenya YAO ; Xiulan LU
Chinese Pediatric Emergency Medicine 2024;31(12):894-899
Objective:To summarize and analyze the results of gene detection and clinical characteristics of children with unknown etiology in pediatric intensive care unit (PICU).Methods:The clinical data from children with unknown clinical diagnosis and completed the whole exon sequencing who were admitted to PICU at Hunan Children's Hospital from September 20,2014 to December 30,2018 were collected .According to the results of gene detection,patients were divided into positive gene test group and regative gene test group,and the clinical characteristics between two groups were compared.Results:A total of 58 cases were included,and 119 samples were sent for the whole exone sequencing (including samples from both children and their families).Pathogenic mutations were identified in 34 cases (58.6%),with 39 pathogenic genes detected.Three pathogenic genes were detected in one patient (1.7%),two pathogenic genes were detected in each of the three patients (5.2%),and one pathogenic gene was detected in each of the 30 patients (51.7%).Among the 39 pathogenic genes,18 genes(46.2%) were autosomal dominant,15 genes(38.5%) were autosomal recessive,four genes(10.3%) were X-linked recessive,and two genes(5.1%) were copy number variants .The proportion of congenital heart disease in positive gene test group was higher than that in negative gene test group(32.4% vs.8.3%,χ 2=4.668, P=0.031),while there was no statistical difference in other clinical features( P>0.05).There was no significant difference in clinical characteristics between the positive gene test group and the negative gene test group among the death children ( P>0.05).Among 58 cases,39 cases (67.2%) resulted in death,and the positive rate of genetic disease diagnosis of the dead children was 66.7%(26/39).The mortality rate of children with positive genetic test was 76.5%(26/34),22 cases (84.7%) died directly from genetic diseases,and four cases died indirectly. Conclusion:Genetic diseases are one of the important causes of death among children in PICU.The clinical characteristics of children with genetic diseases in PICU are complex and diverse,lacking specificity.The whole exon sequencing presents a high diagnosis rate in severe and fatal PICU patients.It is recommended that children with unknown etiology in PICU should undergo genetic testing,especially those with congenital heart disease,in order to help make a clear diagnosis and guide treatment.
7.A cross-sectional survey on the types of antiviral treatment plans for patients with chronic hepatitis B
Xiulan XUE ; Qianguo MAO ; Qingfa RUAN ; Feng MIN ; Wenqi HUANG ; Xiaoting ZHENG ; Huiqing LIANG
Chinese Journal of Hepatology 2024;32(1):29-34
Objective:To understand the current antiviral treatment status and various clinical types of treatment plans in Xiamen City so as to explore ways to improve and optimize the diagnosis and treatment standards for chronic hepatitis B.Methods:A cross-sectional survey method was used to study the antiviral treatment status and treatment plans for chronic hepatitis B patients who visited and were diagnosed in the Department of Infectious Diseases and Hepatology of all tertiary hospitals in Xiamen City at 0:00~23:59 on May 25, 2022.Results:A total of 665 cases were surveyed in this study, with an antiviral treatment rate of 81.2%(540/665). The antiviral treatment rate of patients who accorded with the current guidelines for antiviral treatment indications was 85.8%(507/591). The antiviral treatment rate for 362 outpatients was 72.9%(264/362). Among them, the antiviral treatment rates were 80.1%, 89.3%, and 25.0%(226/282, 25/28, 13/52), respectively, for patients diagnosed with chronic hepatitis B, hepatitis B cirrhosis, and hepatitis B surface antigen-carrying status. The treatment plan for all outpatient patients was mainly oral nucleos(t)ide analogues, accounting for 59.1%(214/362). The antiviral treatment rate for 303 inpatients was 91.1%(276/303). The various clinical types of antiviral therapy rates among all patients were 70%~95%. The antiviral treatment plan for inpatients was mainly based on pegylated interferon alpha treatment, accounting for 72.6%(220/303).Conclusion:Antiviral treatment for chronic hepatitis B in Xiamen City can still be strengthened to meet the current demand for expanding antiviral treatment indications. Antiviral treatment rates and various types of treatment plans differ between outpatients and inpatients; thus, further awareness and acceptance of the goal of improving antiviral therapy, especially in outpatients, and the possibility for a clinical cure based on pegylated interferon alpha treatment are needed to maximize the benefit to more patients.
8.Genetic testing results and clinical characteristics study of PICU patients with unknown pathogenesis
Juan LIU ; Yu ZHENG ; Jiaotian HUANG ; Ping ZANG ; Zhenya YAO ; Xiulan LU
Chinese Pediatric Emergency Medicine 2024;31(12):894-899
Objective:To summarize and analyze the results of gene detection and clinical characteristics of children with unknown etiology in pediatric intensive care unit (PICU).Methods:The clinical data from children with unknown clinical diagnosis and completed the whole exon sequencing who were admitted to PICU at Hunan Children's Hospital from September 20,2014 to December 30,2018 were collected .According to the results of gene detection,patients were divided into positive gene test group and regative gene test group,and the clinical characteristics between two groups were compared.Results:A total of 58 cases were included,and 119 samples were sent for the whole exone sequencing (including samples from both children and their families).Pathogenic mutations were identified in 34 cases (58.6%),with 39 pathogenic genes detected.Three pathogenic genes were detected in one patient (1.7%),two pathogenic genes were detected in each of the three patients (5.2%),and one pathogenic gene was detected in each of the 30 patients (51.7%).Among the 39 pathogenic genes,18 genes(46.2%) were autosomal dominant,15 genes(38.5%) were autosomal recessive,four genes(10.3%) were X-linked recessive,and two genes(5.1%) were copy number variants .The proportion of congenital heart disease in positive gene test group was higher than that in negative gene test group(32.4% vs.8.3%,χ 2=4.668, P=0.031),while there was no statistical difference in other clinical features( P>0.05).There was no significant difference in clinical characteristics between the positive gene test group and the negative gene test group among the death children ( P>0.05).Among 58 cases,39 cases (67.2%) resulted in death,and the positive rate of genetic disease diagnosis of the dead children was 66.7%(26/39).The mortality rate of children with positive genetic test was 76.5%(26/34),22 cases (84.7%) died directly from genetic diseases,and four cases died indirectly. Conclusion:Genetic diseases are one of the important causes of death among children in PICU.The clinical characteristics of children with genetic diseases in PICU are complex and diverse,lacking specificity.The whole exon sequencing presents a high diagnosis rate in severe and fatal PICU patients.It is recommended that children with unknown etiology in PICU should undergo genetic testing,especially those with congenital heart disease,in order to help make a clear diagnosis and guide treatment.
9.Application effectiveness of PDCA in emergency blood management
Qun CAI ; Xiulan HUANG ; Tingting HUANG ; Liqi LU ; Shisong YOU ; Jingwei ZHANG
Chinese Journal of Blood Transfusion 2023;36(7):609-614
【Objective】 To explore the effectiveness of PDCA (Plan-Do-Check-Act Cycle Management) in clinical emergency blood management. 【Methods】 The data of emergency blood-using cases from January 2021 to June 2022 in each clinical department of our hospital were collected to observe the blood matching time, blood retrieving time, and emergency bloodusing rate. They were divided into PDCA experimental group (Experimental group, July to December 2021, n=287), pre-PDCA experimental group (Control group 1, January to June 2021, n=516) and post-PDCA experimental cessation group (Control group 2, January to June 2022, n=277). Subgroup analysis was performed according to different departments, which were Internal Medicine Department, Surgery Depatment, and ICU. The situation of non-emergency blood use occupying emergency lanes in the pre-implementation period was continuously improved using PDCA, and the differences in blood matching time, blood retrieving time, and emergency blood-using rate among the three groups were compared and analyzed by Kruskal-Wallis test and chi-square test. 【Results】 The blood matching time and blood retrieving time (M, min) in the experimental group, control group 1 and control group 2 were 19.00 vs 45.50 vs 23.00 and 22.00 vs 44.00 vs 25.00, respectively (P< 0.05), and were 19.00 vs 47.00 vs 24.00 and 23.00 vs 56.00 vs 30. 50 in Internal Medicine Department, 18.00 vs 57.50 vs 14.00 and 32.00 vs 41.00 vs 24.00 in Surgery Department, 20.00 vs 42.00 vs 23.00 and 16.50 vs 34.00 vs 12.50 in ICU (P<0.05). The rate of emergency blood use in the experimental group, control group 1, and control group 2 were 6.9%(287/4 141) vs 11.0%(516/4 689) vs 6.8%(277/4 089), respectively (P< 0.05), and were 6.3%(175/2 769) vs 11.8% (297/2 512) vs 6.7% (186/2 789) in Internal Medicine Department, 5.9%(24/405) vs 3.6 %(44/1 213) vs 7.4% (37/501) in Surgery Department, and 9.1% (88/967) vs 18% (175/973) vs 6.8%(54/799) in ICU (P<0.05). 【Conclusion】 The adoption of PDCA in Blood Transfusion Department can effectively shorten the blood matching time and blood retrieving time for clinical emergencies and improve the success rate of emergency blood transfusion.
10.Efficacy of apheresis platelet transfusion in 310 patients with haematological diseases
Shisong YOU ; Liqi LU ; Qun CAI ; Xiaomei LI ; Xiulan HUANG ; Jingwei ZHANG
Chinese Journal of Blood Transfusion 2023;36(1):36-41
【Objective】 To observe the effect of platelet transfusion in inpatients with haematological diseases, analyze the possible causes of platelet transfusion refractoriness (PTR), in order to further improve the efficacy of platelet transfusion. 【Methods】 A total of 310 patients with blood disease in our hospital from August 2020 to November 2021 who received platelet transfusion were retrospectively analyzed. Possible influencing factors of platelet transfusion, including gender, age, platelet preservation time, number of platelet transfusions, complication and red blood cell product transfusion were analyzed. 【Results】 Patients were divided into effective group and refractory group according to percentage platelet recovery (PPR) and corrected count increment (CCI). PTR was defined as PPR <20% or CCI <5 000 after two consecutive transfusions in 24 h or clinical bleeding symptoms or tendency not significantly controlled. Statistical differences were noticed between the two groups in terms of gender, pretransfusion white blood cell count, anemia, and whether antibiotics were used (P<0.05). The type of disease, gender, anemia and number of comorbidities were associated with PTR. The incidence of PTR was the highest in patients with myelodysplastic syndrome, and the incidence of PTR was higher in men than in women. Transfusion units of suspended red blood cells and the number of comorbidities were negatively correlated with the transfusion efficacy (P<0.05). 【Conclusion】 Possible influencing factors of platelet transfusion included the level of white blood cells before transfusion, use of antibiotics, anemia and transfusion of red blood cells, number of comorbidities, and type of disease, while no significant differences were found in age, hemolysis, hypersplenism, platelet preservation time, and number of platelet transfusions on transfusion efficacy.

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