[Objective] To evaluate the risk of bacterial contamination of platelets apheresis and improve the clinical diagnosis rate of transfusion-transmitted bacterial infections. [Methods] A retrospective analysis was conducted on 11 cases involving bacterial contamination detected in apheresis platelets during quality inspections at our center from 2021 to 2023, as well as cases of transfusion-transmitted bacterial infection (TTBI) caused by platelet transfusion. The return of positive platelet bacteria test results and clinical transfusion adverse reactions were statistically analyzed. [Results] There were 9 donors with bacteria-contaminated platelets, of which 3 were reported as clinical transfusion reaction, 4 were detected by quality sampling, and 2 were identified by appearance detection before transfusion. The bacterial contamination rate of platelets was about 0.08% (9/10 762). The contaminated platelets were involved in 11 cases of TTBI, with an incidence of TTBI of approximately 0.05% (11/21 916). Only 3 cases of transfusion reactions were clinically reported, while the rest were case tracking with positive results of platelet bacterial test from quality sampling. The clinical return rate of TTBI was 27.27% (3/11), with an average reporting time of 8.12 hours after the occurrence of transfusion reactions. The majority of the contaminated platelets were detected at the end stage of storage, with 55.56% (5/9) of platelets collected on the 4th day after collection. Partial contaminated platelets were identified through quality sampling, with a positive rate of 2.78% (4/144). [Conclusion] The platelet bacterial contamination rate is high, but with low clinical return rate. It is recommended to conduct routine platelet bacterial monitoring and improve clinical diagnostic level.

[Objective] To compare the efficacy and safety of deglycerolized red blood cells (DRBC) and suspended red blood cells (SRBC) based on the propensity score matching (PSM) method, so as to provide evidence for the rational use of DRBC resources in clinical practice. [Methods] A total of 89 patients who received DRBC transfusion and 2 916 patients who received SRBC transfusion in our hospital from January 2023 to September 2024 were included. A 1∶1 nearest neighbor PSM was used to balance covariates such as gender, age, and body mass index (BMI). The changes of hemoglobin (Hb), red blood cell (RBC) count, hematocrit (HCT), and inflammatory markers such as white blood cell (WBC) count, neutrophil (NE) count, C-reactive protein (CRP), and Interleukin-6(IL-6) in the last 72 hours after transfusion were analyzed by SPSS 26.0 and R software to evaluate clinical efficacy and transfusion safety. [Results] The baseline of the two groups was balanced after PSM (P>0.05). There was no significant difference in the total effective rate between the DRBC group (80.9%) and the SRBC group (86.5%) (P>0.05). In the SRBC group, WBC (×10 /L) increased from 9.634±6.742 to 10.147±6.835, CRP (mg/dL) increased from 5.468±4.647 to 6.174±6.114, and IL-6(pg/mL) decreased from 213.733±587.191 to 157.255±552.626. In the DRBC group, WBC (×10 /L) decreased from 11.123±7.880 to 11.011±8.549, CRP (mg/dL) decreased from 5.729±4.761 to 5.326±4.466, and IL-6(pg/mL) decreased from 238.806±639.060 to 152.255±266.558. Compared with the before treatment, the differences between the SRBC group and DRBC group were not statistically significant (P>0.05). Among all patients included in the statistics, the overall incidence of transfusion adverse reactions was 0.205% (6/2 916) in the SRBC group, and no adverse reactions occurred in the DRBC group. The incidence in the SRBC group was higher than that in the DRBC group. [Conclusion] Based on PSM analysis, there was no significant difference in the efficacy and safety of DRBC transfusion compared with SRBC transfusion, which can provide evidence-based support for routine application.

Objective:To explore the trend of hearing changes in infants with GJB2 gene p.V37I mutation at different months. Methods:The subjects were 54 children（108 ears） with p.V37I homozygous or compound heterozygous mutation in GJB2 gene. All the subjects underwent auditory brainstem response, auditory steady-state response, acoustic immittance and other audiological tests. Children were divided into three groups according to their age, 26 cases in group A were ≤3 months old, 17 cases in group B were>3~≤6 months old, and 11 cases in group C were>6 months old. Statistical analysis was performed on the three groups of ABR response threshold, hearing degree, the ASSR average response threshold of four frequencies and the ASSR response thresholds for each frequency of 500, 1 000, 2 000 and 4 000 Hz. Results:Among the 54 cases, 35 were male and 19 were female, with an age rang of 2-27 months and a median age of 4 months. The ABR response threshold of the three groups were ranked from low to high as group A, group B and group C, and the difference was statistically significant（P<0.05）. The ABR response thresholds of the three groups were ranked from low to high as group A, group B, and group C. The comparison between groups showed that the ABR response thresholds of group C was higher than that of group A（P=0.006）. The proportion of confirmed hearing loss in the three groups was 34.61%, 50.00% and 63.64%, respectively, and the difference of hearing level among the three groups was statistically significant（P<0.05）. The comparison between groups showed that the difference between group A and group C was statistically significant（P=0.012）, normal hearing accounted for the highest proportion in group A（65.39%）, while mild hearing loss accounted for the highest proportion in group C（45.46%）. The ASSR average response thresholds of the four frequencies in the three groups were ranked from low to high as group A, group B and group C, and the difference is statistically significant（P<0.05）. The comparison between groups showed that response ASSR thresholds of group C was higher than that of group A（P=0.002）. Response thresholds of ASSR in each frequency in the three groups were all ranked from low to high as in group A, group B and group C, and the differences were statistically significant（P<0.05）. Compared with each other between groups, response ASSR thresholds of group C was higher than those of group A（P=0.003） and group B（P=0.015） at 500 Hz, while response ASSR thresholds of group C was higher than group A at 1 000 Hz（P=0.010） and 2 000 Hz（P<0.001）, and there was no statistical difference at 4 000 Hz. Conclusion:The incidence of hearing loss in GJB2 gene p.V37I mutation increased with age, and the degree of hearing loss increased, the hearing progression was mainly 500, 1 000 and 2 000 Hz suggesting regular follow-up and alert to hearing changes.
Humans ; Connexin 26 ; Male ; Female ; Infant ; Child, Preschool ; Mutation ; Evoked Potentials, Auditory, Brain Stem ; Connexins/genetics* ; Auditory Threshold ; Hearing/genetics* ; Hearing Loss/genetics*

Objective:To explore the hearing changes of children with different genotypes of SLC26A4 with enlarged vestibular aqueduct（EVA） using the linear mixed effect model（LMM）, providing evidence for the risk prediction of progressive hearing loss. Methods:A total of 48 children with EVA diagnosed in our hospital from January 2017 to January 2024. All subjects underwent two or more auditory tests. According to the results of deafness gene screening and sequencing, the genotypes are divided into: type A: homozygous mutation of c. 919-2A>G, type B: compound heterozygous or heterozygous mutation containing c. 919-2A>G, and type C: no mutation site of c. 919-2A>G of SLC26A4 gene. LMM was used to analyze the hearing thresholds change of 500 Hz, 1 000 Hz, 2 000 Hz, 4 000 Hz and the average in children with different genotypes with age. Results:A total of 92 ears, 314 audiograms of 48 children were included, the median number of audiograms was 3, the median age of initial diagnosis was 4 months, and the median follow-up time was 13 months. According to LMM, the standard deviation of random effects between patients and ears was large. There was no significant difference in hearing thresholds of different frequencies and the average in genotype A, genotype B, and genotype C, indicating that genotype had no effect on hearing threshold. There is an interaction between age and genotype. Taking genotype C as the reference, children with genotype B had the lowest increase in 500 Hz, 1000 Hz, and the average hearing threshold, followed by type A. Conclusion:EVA children exhibit substantial inter-individual/ear hearing threshold variability. Low-frequency thresholds progress slower than high frequencies. Genotype modulates progression rates, with wild-type（Type C） demonstrating fastest deterioration, supporting personalized auditory monitoring strategies.
Humans ; Vestibular Aqueduct/abnormalities* ; Genotype ; Sulfate Transporters ; Mutation ; Auditory Threshold ; Hearing Loss, Sensorineural/genetics* ; Male ; Female ; Child ; Child, Preschool ; Hearing Loss/genetics* ; Hearing Tests ; Linear Models ; Infant

Objective:To investigate symptoms of anxiety and depression among primary and middle school students quarantined in hotels during the COVID-19 epidemic.Methods:Anxiety and depression symptoms among 726 primary and middle school students quarantined in hotels were investigated with The Screen for Child Anxiety Related Emotional Disorders(SCARED)and Depression Self-rating Scale for Children(DSRSC)from September to October 2022 in Chifeng City,Inner Mongolia Autonomous Region.There were 624 students completed investi-gation with response rate of 86％.The positive score of SCARED was ≥23 and DSRSC was ≥ 15.Results:The detection rates of anxiety and depression were 17.9％and 15.4％respectively.The detection rates of anxiety and depression were higherin middle school students than inprimary school students(Ps＜0.05).The scores of general-ized anxiety and social phobia factors were higher in female students than in male students(Ps＜0.05).The scores of dissociative anxiety factor and depression were higher in middle school students than in primary school students(Ps＜0.05).Conclusion:During the COVID-19 epidemic,middle school students quarantined in hotels are more likely to have anxiety and depression symptoms than primary school students,and female students are more likely to have anxiety symptoms than male students.

[Abstract] [Objective] To compare and analyze the efficacy of platelet transfusion in patients with different doses, and to analyze the risk factors for platelet transfusion refractoriness. [Methods] A total of 5 827 patients who received platelet transfusion in the PLA General Hospital from May 2023 to May 2024 were selected as the research subjects, among which 4 780 patients were transfused with 1 therapeutic dose of platelets, and 1 047 patients were transfused with 0.5 therapeutic dose of platelets, and the efficacy of platelet transfusion was compared between the two groups. The effects of gender, disease type, white blood cell count before transfusion, fever, number of platelet transfusions, and platelet antibodies on platelet transfusion refractoriness were analyzed using univariate analysis, and the independent risk factors affecting platelet transfusion refractoriness were further analyzed by multivariate logistic regression. [Results] Among 4 780 patients, 3553 (74.3%) were effective and 1 227 (25.7%) were ineffective. Among 1 047 patients, 0.5 platelet infusion was effective in 755 cases (72.1%) and ineffective in 292 cases (27.9%). There was no significant difference in the effective rate of platelet transfusion between the two groups (P>0.05). Univariate analysis showed that the therapeutic effect of platelet transfusion was related to age, the number of platelet transfusion, disease type, platelet antibodies and white blood cell count before transfusion (P<0.05), while age, gender, fever and blood type were not related to the therapeutic effect of platelet transfusion (P>0.05). The results of multi-factor analysis showed that age, white blood cell count >50×10⁹/L, platelet transfusion times, disease type and platelet antibody were independent risk factors for ineffective transfusion (P<0.05). [Conclusion] There is no significant difference in the efficacy of platelet infusion with 0.5 therapeutic dose or 1 therapeutic dose. In addition, age, white blood cell count >50×10⁹/L, the number of platelet transfusion, disease type and platelet antibodies were the factors affecting the ineffective platelet transfusion in group 2.

[Abstract] [Objective] To analyze the detection ability of one imported and three domestic microcolumn agglutination anti-human globulin cards in unexpected antibody screening test. [Methods] A total of 104 positive samples from antibody screening test conducted at our hospital from July to September 2022 were selected. Microcolumn agglutination antiglobulin tests were performed in parallel with antibody screening tests using one imported card (A Card) and three domestic cards (B, C and D Cards ) to analyze the differences in the sensitivity, specificity and agglutination intensity scores. [Results] The sensitivity of the four anti-human globulin cards was as follows: D card 88.51% (131/148) > C card 83.22% (124/149) > B card 81.63% (120/147) > A card 80.54% (120/149); the specificity was A card 97.79% (133/136) > B card 95.65% (132/138) > D card 95.62% (131/137) > C card 93.38% (127/136); and the average agglutination intensity score (points) was D card 214.57 > C card 191.90 > A Card 179.69 > B Card 175.83, and the H value of Kruskal-Wallis test was 7.221, with no statistically significant difference (P > 0.05). Among them, C card was prone to false positives, accounting for 3.16% (9/285), and A card was prone to false negatives, accounting for 10.18% (29/285). [Conclusion] There were differences in the detection ability of anti-human globulin cards of different manufacturers, and some domestic cards have higher detection performance than imported cards. It is recommended to use anti-human globulin cards of two manufacturers routinely in clinical practice, that is, to use cards with high detection sensitivity for antibody screening tests to avoid antibody missed detection as much as possible, and to use cards with high specificity for cross-matching blood tests to avoid delays in transfusion due to false positives, which could hinder transfusion treatment.

Objectives The combined use of bedaquiline and delamanid(BDQ-DLM)is limited by an increased risk of prolonging the QTc interval.We retrospectively evaluated patients who received DLM/BDQ-containing regimens at a TB-specialized hospital.We aimed to present clinical efficacy and safety data for Chinese patients. Methods This case-control study included patients with multidrug-resistant tuberculosis(MDR-TB)treated with BDQ alone or BDQ plus DLM. Results A total of 96 patients were included in this analysis:64 in the BDQ group and 32 in the BDQ+DLM group.Among the 96 patients with positive sputum culture at the initiation of BDQ alone or BDQ combined with DLM,46 patients(71.9%)in the BDQ group and 29(90.6%)in the BDQ-DLM group achieved sputum culture conversion during treatment.The rate of sputum culture conversion did not differ between the two groups.The time to sputum culture conversion was significantly shorter in the BDQ-DLM group than in the BDQ group.The most frequent adverse event was QTc interval prolongation;however,the frequency of adverse events did not differ between the groups. Conclusion In conclusion,our results demonstrate that the combined use of BDQ and DLM is efficacious and tolerable in Chinese patients infected with MDR-TB.Patients in the BDQ-DLM group achieved sputum culture conversion sooner than those in the BDQ group.

Objective:To analyze the distribution and genomic characteristics of SARS-CoV-2 variants isolated from imported cases of COVID-19 in Sichuan Province from December 2022 to January 2023.Methods:This study selected 108 nasal and throat swab samples with fluorescence threshold (Ct)≤32 that were collected from imported COVID-19 cases in Sichuan Province from December 2022 to January 2023. Targeted amplification and Illumina NextSeq? 2000 system were used for whole-genome sequencing. Nextclade and Pangolin online platforms were used to determine the virus genotypes and analyze the mutation loci. A phylogenetic tree was constructed using maximum likelihood.Results:A total of 55 SARS-CoV-2 whole genome sequences with coverage of >95% were obtained, and all of the strains were Omicron variants. Compared with the sequence of reference strain Wuhan-Hu-1, the median number of nucleotide mutation sites of 21L, 22B, 22D, 22E, and 22F genotypes were 93, 75, 92, 78, and 92, and the median number of amino acid mutation sites were 68, 53, 68, 69, and 65, respectively. From December 2022 to January 2023, the predominant circulating SARS-CoV-2 variants from imported cases in Sichuan Province were BA.5.2 (10.91%, 6/55), XBB.1.1 (9.10%, 5/55), BF.7.14 (7.23%, 4/55), and BQ.1.1 (7.23%, 4/55).Conclusions:The distribution of SARS-CoV-2 variants can reflect the global epidemic trend to a certain extent. However, it is different from the distribution of local circulating variants in the Chinese mainland. The XXB variants with transmission advantages can be detected in large numbers of inbound travelers before becoming the predominant circulating strains in the Chinese mainland.

Objective:To construct a feature visualization system utilizing deep learning for superficial esophageal squamous cell carcinoma (SESCC) under magnifying endoscopy with narrow band imaging (ME-NBI) to predict the infiltration depth of SESCC.Methods:The feature visualization system consisted of four models: two for segmenting the intrapapillary capillary loops (IPCL) area and avascular area (AVA) in ME-NBI images of SESCC lesions (models 1 and 2, respectively), one for obtaining the principal component of color (PCC) in ME-NBI images of SESCC lesions (model 3), and another for automatically predicting the depth of SESCC infiltration based on the features extracted from the first three models (model 4). A total of 2 341 ME-NBI images of SESCC lesions from April 2016 to October 2021 were used to develop the feature visualization system, which was divided into 3 datasets: dataset 1 (1 077 ME-NBI images) was used to train and test models 1-3, dataset 2 (1 069 ME-NBI images) was expanded by 20 times through feature combination to generate 21 380 feature synthetic images to train and test model 4, and dataset 3 (195 ME-NBI images), containing 146 ME-NBI images with lesion invasion depth from the epithelium to the upper 1/3 of the submucosa (EP-SM1), and 49 ME-NBI images with lesion invasion depth from the middle 1/3 to the lower 1/3 of the submucosa (SM2-SM3), was used to validate the diagnostic performance of the feature visualization system in predicting the invasion depth of SESCC (EP-SM1/SM2-SM3). In order to evaluate the superiority of the feature visualization system, the prediction results of dataset 3 of the traditional deep learning system (trained directly with ME-NBI images), single-item feature models (single-item IPCL feature model, single-item AVA feature model and single-item PCC feature model) were compared with the prediction results of the feature visualization system. In order to evaluate the clinical utility of the feature visualization system, 4 expert physicians (with more than 10 years of endoscopic operation, expert physician group) and 5 senior physicians (with more than 5 years of endoscopic operation, senior physician group) were invited to participate in the human-computer competition to diagnose dataset 3, and the results were compared with the feature visualization system.Results:The accuracy, sensitivity and specificity of the feature visualization system in predicting the invasion depth of SESCC (EP-SM1/SM2-SM3) were 83.08% (162/195), 82.88% (121/146) and 83.67% (41/49), respectively. The above indicators were 60.00% (117/195), 52.05% (76/146) and 83.67% (41/49) for the traditional deep learning system, 74.87% (146/195), 75.34% (110/146) and 73.47% (36/49) for the single IPCL feature model, 58.97% (115/195), 60.27% (88/146) and 55.10% (27/49) for single AVA feature model, 71.28% (139/195), 71.23% (104/146) and 71.43% (35/49) for single PCC feature model, respectively. The results were 66.67%, 78.22% and 32.24% in senior physician group, and 72.31%, 85.96% and 31.63% in expert physician group, respectively. The accuracy of the feature visualization system in predicting the invasion depth of SESCC was significantly higher than that of the other 6 groups ( P<0.05). The sensitivity of feature visualization system was slightly higher than that of senior physician group ( χ2=1.59, P=0.21) and single-item IPCL feature model ( χ2=2.51, P=0.11), slightly lower than that of expert physician group ( χ2=0.89, P=0.35), and significantly higher than that of three other groups ( P<0.05). The specificity of the feature visualization system was similar to the traditional deep learning system ( χ2=0.00, P=1.00), slightly higher than that of single-item IPCL feature model ( χ2=1.52, P=0.22) and single-item PCC feature model (χ2=2.11, P=0.15), and significantly higher than that of the single AVA feature model ( χ2=9.42, P<0.01), senior physician group ( χ2=44.71, P<0.01) and expert physician group ( χ2=43.57, P<0.01). Conclusion:The developed deep learning-based feature visualization system using ME-NBI shows excellent diagnostic performance in predicting the infiltration depth of SESCC (EP-SM1/SM2-SM3), surpassing the accuracy levels of experienced endoscopists with over 10 years of experience.