Objective: To investigate the application of antigen avoidance pattern for compatible platelets matching. Methods: Samples from two patients with immune-mediated platelet transfusion refractoriness were screened for platelet antibodies using solid-phase red blood cell adhesion assay (SPRCA). The genotypes of HLA-A, -B loci were determined via ploymerase chain reaction sequence. The specificity of HLA class I antibodies was detected using Luminex technology. Results: Platelet antibody screening via SPRCA yielded positive results in both samples. Antibody specificity testing showed the presence of antibodies against HLA-B65, A80, B13, as well as antibodies against HLA-A11, B52, A24 respectively, with both patients exhibiting 80 kinds of positive antibodies. The antibody avoidance pattern successfully selected compatible platelets for transfusion. The bleeding symptoms of two patients were improved after compatible platelets transfusion. Conclusion: For blood stations with limited platelet gene bank resources, antibody avoidance pattern for compatible platelets matching represents an effective strategy for immune-mediated platelet transfusion refractoriness.

Copper, as a kind of trace element, is crucial for the physiological functions of various key enzymes in the body, and the liver plays a central role in maintaining copper metabolism. Theoretically, dysfunction in the body’s metabolic processes, such as copper absorption, transportation, and excretion, can lead to copper deposition or deficiency in various organs. Wilson’s disease’s characteristic pathological manifestation is deposition of copper in liver. However, during liver pathological examinations, it has been found in clinical practice that certain patients with non-Wilson's disease and inherited metabolic liver disease may also have copper deposition. This review summarizes the inherited metabolic liver diseases that can cause liver copper deposition, their related pathogenesis, and the differential diagnosis approach from the perspectives of clinical and pathological characteristics.

Objective:To explore the current status of orthopedic nurses' health science popularization information generation capacity and training needs in Beijing.Methods:This study was a cross-sectional survey. Convenience sampling was used to select 818 orthopedic nurses from 54 hospitals (48 Class Ⅲ hospitals and 6 ClassⅡ hospitals) in Beijing in April 2024 for the study. General Information Questionnaire, Self-assessment Scale for Orthopedic Nurses' Health Science Popularization Information Generation Capacity, and Training Needs Scale for Orthopedic Nurses' Health Science Popularization Information Generation Capacity were used to survey the study participants. Multiple linear regression was used to analyze the factors influencing orthopedic nurses' health science popularization information generation capacity. A total of 818 questionnaires were distributed and 781 valid questionnaires were recovered, with a valid recovery rate of 95.48% (781/818) .Results:The 781 orthopedic nurses had a total score of [49.00 (42.00, 57.00) ] on the Self-assessment Scale for Orthopedic Nurses' Health Science Popularization Information Generation Capacity. Multiple linear regression analysis showed that years of working experience, health status, intention to participate in health science popularization, stage of health science popularization behavior, and frequency of participation in health science popularization training were the factors influencing orthopedic nurses' health science popularization information generation capacity ( P<0.05), which explained 17.30% of the total variation. Beijing orthopedic nurses had training needs in five areas of assessing audience needs, assessing message risk, revising and improving messages, generating messages, and pretesting messages. Conclusions:The Beijing orthopedic nurses' health science popularization information generation capacity is at a medium and high level, but there is still much room for improvement. It is recommended to pay attention to the physical and mental health of orthopedic nurses, improve the work commitment, and build a long-term incentive mechanism to stimulate the enthusiasm of orthopedic nurses in health science popularization. Medical institutions or specialty societies should actively formulate training programs, build training platforms, and gradually perfect the orthopedic nurses' health science popularization training system in order to comprehensively enhance the health science popularization information generation capacity and help China's great health.

Objective:To explore the current status of orthopedic nurses' health science popularization information generation capacity and training needs in Beijing.Methods:This study was a cross-sectional survey. Convenience sampling was used to select 818 orthopedic nurses from 54 hospitals (48 Class Ⅲ hospitals and 6 ClassⅡ hospitals) in Beijing in April 2024 for the study. General Information Questionnaire, Self-assessment Scale for Orthopedic Nurses' Health Science Popularization Information Generation Capacity, and Training Needs Scale for Orthopedic Nurses' Health Science Popularization Information Generation Capacity were used to survey the study participants. Multiple linear regression was used to analyze the factors influencing orthopedic nurses' health science popularization information generation capacity. A total of 818 questionnaires were distributed and 781 valid questionnaires were recovered, with a valid recovery rate of 95.48% (781/818) .Results:The 781 orthopedic nurses had a total score of [49.00 (42.00, 57.00) ] on the Self-assessment Scale for Orthopedic Nurses' Health Science Popularization Information Generation Capacity. Multiple linear regression analysis showed that years of working experience, health status, intention to participate in health science popularization, stage of health science popularization behavior, and frequency of participation in health science popularization training were the factors influencing orthopedic nurses' health science popularization information generation capacity ( P<0.05), which explained 17.30% of the total variation. Beijing orthopedic nurses had training needs in five areas of assessing audience needs, assessing message risk, revising and improving messages, generating messages, and pretesting messages. Conclusions:The Beijing orthopedic nurses' health science popularization information generation capacity is at a medium and high level, but there is still much room for improvement. It is recommended to pay attention to the physical and mental health of orthopedic nurses, improve the work commitment, and build a long-term incentive mechanism to stimulate the enthusiasm of orthopedic nurses in health science popularization. Medical institutions or specialty societies should actively formulate training programs, build training platforms, and gradually perfect the orthopedic nurses' health science popularization training system in order to comprehensively enhance the health science popularization information generation capacity and help China's great health.

Copper, as a kind of trace element, is crucial for the physiological functions of various key enzymes in the body, and the liver plays a central role in maintaining copper metabolism. Theoretically, dysfunction in the body’s metabolic processes, such as copper absorption, transportation, and excretion, can lead to copper deposition or deficiency in various organs. Wilson’s disease’s characteristic pathological manifestation is deposition of copper in liver. However, during liver pathological examinations, it has been found in clinical practice that certain patients with non-Wilson's disease and inherited metabolic liver disease may also have copper deposition. This review summarizes the inherited metabolic liver diseases that can cause liver copper deposition, their related pathogenesis, and the differential diagnosis approach from the perspectives of clinical and pathological characteristics.

Objective To investigate the status of occult hepatitis B virus infection(OBI)among blood donors in Quzhou,Zhejiang,and to analyze the mutation of S region in blood donors with anti-HBc+alone and non anti-HBc+alone.Methods The OBI samples were screened by ELISA and NAT;the HBV DNA was amplified and sequenced;20 anti-HBc+alone and 25 not anti-HBc+alone samples were obtained.Results The detection rate of OBI in Quzhou was 0.10%(155/161 045),and the positive rate of anti-HBc was 74.19%(115/155).The detection rate of OBI increased with the age of blood donors(P＜0.05),but was not related to gender.The positive rate of anti-HBc+alone was 22.58%(35/155),and that of not anti-HBc alone was 51.61%(80/155).Among the 45 OBI sequencing samples,the proportion of B and C geno-type was73.33%(33/45)and 20.00%(9/45),respectively.The mutation sites of blood donors in the anti-HBc+alone group were more than those in the not anti-HBc+alone group,and the mutation rates of S114T and V168A on MHR were significantly different(P＜0.05).Conclusion The genotype of OBI infection in Quzhou is mainly type B.The mutation sites of blood donors with anti-HBc+alone are higher than those with not anti-HBc+alone,which may be more suitable as one of the OBI screening indicators.

Objective To investigate the ability of combined baseline serum markers, i.e., HBV DNA, HBV RNA, HBsAg, and HBcrAg, to predict HBeAg seroconversion in patients with HBeAg-positive chronic hepatitis B (CHB) treated by nucleos(t)ide analogues. Methods A retrospective analysis was performed for 83 HBeAg-positive patients selected as subjects from the prospective CHB follow-up cohort established by Difficult & Complicated Liver Diseases and Artificial Liver Center, Beijing YouAn Hospital, Capital Medical University, from June 2007 to July 2008, and the baseline serum levels of HBV DNA, HBV RNA, HBsAg, and HBcrAg were analyzed. The t -test or the Mann-Whitney U test was used for comparison of continuous data between two groups, and the chi-square test was used for comparison of categorical data between two groups. The Spearman method was used for correlation analysis. A Cox regression model was established to calculate HBeAg seroconversion prediction score, and the time-dependent receiver operating characteristic curve was used to evaluate the ability of combined markers in predicting HBeAg seroconversion. The Kaplan-Meier method was used to calculate cumulative seroconversion rate in each group, and the Log-rank test was used for comparison between groups. Results For the 83 HBeAg-positive patients, the median follow-up time was 108 months, and 44.58%(37/83) of these patients achieved HBeAg seroconversion. Compared with the non-seroconversion group, the HBeAg seroconversion group had significantly lower baseline serum levels of HBV DNA [6.23(1.99-9.28) log 10 IU/mL vs 7.69(2.05-8.96) log 10 IU/mL, Z =-2.345, P =0.019] and HBV RNA [4.81(1.40-7.53) log 10 copies/mL vs 6.22(2.00-8.49) log 10 copies/mL, Z =-1.702, P =0.010], and there were no significant differences in the levels of HBsAg and HBcrAg between the two groups ( P > 0.05). The Cox regression equation constructed based on the above serum markers showed a median score of 0.95(range 0.37-3.45) for predicting HBeAg seroconversion. In the total population, the combined score was negatively correlated with HBsAg, HBV DNA, HBV RNA, and HBcrAg ( r =-0.697, -0.787, -0.990, and -0.819, all P < 0.001). Based on the median prediction score, the patients were divided into high HBeAg seroconversion group and low HBeAg seroconversion group; as for the prediction of HBeAg seroconversion rate at 36, 60, and 84 months, the high HBeAg seroconversion group had a seroconversion rate of 43.90%, 51.20%, and 63.10%, respectively, while the low HBeAg seroconversion group had a seroconversion rate of 9.60%, 17.00%, and 19.8%, respectively, and there was a significant difference between the two groups ( χ 2 =11.6, P < 0.001). Conclusion The combined prediction score based on baseline serum HBV markers can predict HBeAg seroconversion in CHB patients treated by nucleos(t)ide analogues.

Abstract: Objective　To analyze the clinical characteristics of children with lobar pneumonia and the distribution of pathogens in bronchoalveolar lavage fluid (BALF) collected from these patients, hence providing a scientific basis for their precise diagnosis and treatment. Methods　A total of 115 children diagnosed with lobar pneumonia from August 2019 to August 2022 at Suining Central Hospital were screened as the research subjects. The clinical manifestations and occurrence of complications in the patients were investigated. All the children underwent bronchoalveolar lavage after admission, and BALF samples were collected. Fluorescence quantitative PCR was adopted to detect and analyze the distribution and clinical characteristics of Streptococcus pneumoniae (SP) and other related pathogenic microorganisms in BALF specimens. Results Among the 115 pediatric patients with lobar pneumonia, the occurrence of manifestations or complications including involvement of ≥2 lung lobes, myocardial damage, pleural effusion, abnormal liver function, digestive system involvement, nervous system involvement, rash, renal function impairment, and lung atelectasis were observed in 46, 46, 39, 33, 18, 17, 11, 5, and 4 cases, respectively. The pathogen positivity rate in the BALF samples of the 115 patients was 87.0% (100/115), with 81 cases of single infection and 19 cases of mixed infection. A total of 121 strains of pathogens were isolated, including 83 strains of Mycoplasmal pneumonia (MP) (accounting for 68.6%) and SP(13.2%). The differences in the detection rates of HI, MP, RSV strains among different age groups were statistically significant (χ2=8.834, 19.454, 10.284, P<0.05), while the differences in the infection rates of SP, KP, CP, and ADV were not statistically significant (χ2=3.393, 2.67, 0.565, 0.097, P>0.05). The MP pneumonia group showed significantly higher incidence of complications such as pleural effusion, nervous system involvement, and abnormal liver function than the non-MP pneumonia group (χ2=3.925, 4.195, and 4.513, P<0.05). The highest pathogen detection rate was in winter, accounting for 33.91%. Conclusions MP is the most common pathogen in BALF of children with lobar pneumonia. There is variation in the pathogen detection rate among different age groups and seasons. Those with combined infections were more prone to complications, which is worthy of attention by clinicians.

Objective To investigate the consistency between Shengxiang (S) and Xinbo (X) real-time PCR methods in the quantification of HBV RNA. Methods In the prospective follow-up cohort of 108 chronic hepatitis B (CHB) patients established from July 2007 to August 2008, 20 patients with HBeAg seroconversion were selected, and 20 patients without seroconversion were selected by propensity score matching at a ratio of 1∶ 1. The two quantification methods from S and X companies were used, and a retrospective analysis was performed for HBV RNA in serum samples at baseline and weeks 12, 24, and 48. The paired t -test was used for comparison of normally distributed continuous data between groups, and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups; the chi-square test was used for comparison of categorical data. The Pearson correlation coefficient, intraclass correlation coefficient (ICC), and the Bland-Altman method were used to evaluate the consistency of the two quantification methods. Results A total of 132 serum samples were tested by S reagent, and 154 were tested by X reagent; the detection rate of HBV RNA was 100% by both reagents. A total of 131 serum samples were tested by both reagents, with 34 samples at baseline and 29, 35, and 33 samples, respectively, at weeks 12, 24, and 48 of follow-up; at these four time points, the HBV RNA quantification data detected by X reagent were significantly higher than those detected by S reagent (5.75±1.64/5.43±1.73/5.13±1.54/4.76±1.55 log 10 copies/mL vs 4.80±1.48/4.52±1.53/4.10±1.50/3.92± 1.43 log 10 copies/mL, t =8.348, t =5.341, Z =-5.086, Z =-4.762, all P < 0.001). The correlation analysis of the two methods showed a Pearson correlation coefficient of 0.915 (95% confidence interval [ CI ]: 0.836-0.957) and an ICC of 0.771(95% CI : -0.021 to 0.931) at baseline, a Pearson correlation coefficient of 0.849(95% CI : 0.701-0.927) and an ICC of 0.733(95% CI : 0.138-0.902) at week 12, a Pearson correlation coefficient of 0.951(95% CI : 0.905-0.975) and an ICC of 0.776(95% CI : -0.058 to 0.942) at week 24, and a Pearson correlation coefficient of 0.933(95% CI : 0.867-0.967) and an ICC of 0.804(95% CI : -0.014 to 0.944) at week 48 (all P < 0.05). The Bland-Altman analysis showed that the difference of 96.18%(126/131) samples tested by the two methods was within the mean difference±1.96 standard deviation. Conclusion HBV RNA quantification by X reagent is higher than that by S reagent, while the two real-time PCR quantification methods show a good consistency in CHB patients with HBeAg seroconversion and those without seroconversion.