Objective To explore the use of indirect methods to establish a reference interval for serum car-bohydrate antigen 242(CA242)in adults in Shanghai and to validate it.Methods A total of 51 897 cases of CA242 testing data from the laboratory information management system of the Department of Clinical Labo-ratory at the hospital from August 2022 to July 2023 were collected.After data cleaning and normal transfor-mation,the Turkey method was used to remove outliers,and 19 653 cases of data were finally included in the study.Then,the Hoffmann method was used to establish the P95 reference interval for serum CA242.The study selected 691 apparently healthy individuals from January to March 2024 to validate the self built refer-ence interval for CA242.The physical examination population with the reference interval recommended by the reagent instructions≤CA242 value

To evaluate the analytical performance of a specific IgE (sIgE) quantitative detection system and explore the clinical application effect of dust mite extract and component detection. The fluorescent magnetic particle chemiluminescence method was used to verify the analytical performance of sIgE for house dust mite (D1), dust mite (D2) extracts, and their components (Der p 1, Der p 2, Der p 10, and Der p 23), including precision, limit of blank (LoB), limit of detection (LoD), linear range, and interfering factors. This is a retrospective cohort study. A total of 50 patients with allergic rhinitis and 50 patients with allergic asthma diagnosed at Zhongshan Hospital Affiliated to Fudan University from January 2022 to August 2023 were selected, along with 70 apparently healthy individuals who underwent physical examinations in the hospital as the healthy control group. The positive rates of each sIgE component in the three groups were compared, and the receiver operating characteristic (ROC) curve for diagnosing dust mite allergy was plotted. The results showed that the fluorescent magnetic particle chemiluminescence method for detecting sIgE demonstrated good repeatability and intermediate precision within the range of 0.1-100 kU/L. The LoB, LoD, and linear range all met the specified requirements. Except for Der p 10, which was interfered by the presence of conjugated bilirubin and free bilirubin (exceeding 40 mg/dl), the detection of other allergens was not significantly affected by common endogenous substances. In healthy individuals, 10% had positive sIgE for dustmite extract; in asthmatic and allergic rhinitis patients, the positive rates were 70% and 82%, respectively. The double positive rate of D1 and D2 in the healthy group was 8.6%, while in asthmatic and allergic rhinitis patients, it was 66% and 70%, respectively. When 0.35 kU/L was used as the threshold, the sensitivity of sIgE for dust mite extract to predict component positivity was 100%, specificity was 61.5%, positive predictive value (PPV) was 80.2%, and negative predictive value (NPV) was 100%. When the threshold was optimized to 0.78 kU/L, the sensitivity was 96.8%, specificity was 92.1%, PPV was 95.2%, and NPV was 94.6%. In conclusion, the repeatability, intermediate precision, LoB, LoD, linear range, and anti-interference ability of the fluorescent magnetic particle chemiluminescence method for detecting sIgE meet the requirements of laboratory quality management. This ensures detection quality, meets clinical needs, and can be used for the auxiliary diagnosis of allergic diseases.

Objective:To establish and optimize an autoverification system for thyroid function test reports of 5 items using historical test data.Methods:Based on the docoment' Autoverification of Clinical Laboratory Quantitative Test Results′, CLSI AUTO 10-A and AUTO 15 guidelines, an autoverification system for thyroid function test reports of 5 items was established combining with manual verification experience. A total of 193 860 thyroid function test reports of 5 items in 2021 were collected for the assessment of the original system. Totally 210 097 thyroid function test reports of 5 items in 2022 and 299 198 reports in 2023 were collected for the optimization of the autoverification system. There were 160 666 thyroid function test reports of 5 items from the first half of 2024 for the manual and autoverification comparison after optimization.Results:The pass rate of the autoverification system based on original thyroid function report in 2021 was 69.56%(134 849/193 860). The optimized system utilizing historical data from 2022 and 2023 covered 21 pattern rules and established verification for different patterns including range rules, delta check rules, and review rules. Taking manual verification as the standard for the data from the first half of 2024, the sensitivity and specificity of the optimized system were 100% (499/499) and 81.57% (130 646/160 167), respectively, with a false-negative rate of 0. The concordance rate between autoverification and manual verification was 81.63% (131 145/160 666), and the pass rate was 81.32% (130 646/160 666).Conclusion:Establishing and optimizing the autoverification system for thyroid function tests of 5 items using historical test data, and formulating verification rules for different patterns can be applied to clinical practise, which not only ensures the accuracy of test reports but also improves work efficiency, allowing continuously optimized and perfected of the system.

Objective:To evaluate the diagnostic performance of the 0-2 h high-sensitivity cardiac troponin T (hs-cTnT) cutoff recommended by the guidelines for the rule-out and rule-in diagnosis of suspected non-ST-segment elevation myocardial infarction (NSTEMI) patients of different age groups.Methods:This is a retrospective cohort study. Clinical data of 4 050 suspected NSTEMI patients who visited the Chest Pain Center of Zhongshan Hospital affiliated with Fudan University from January 2020 to December 2021 were retrospectively analyzed. Patients who visited from January 2020 to April 2021 (2 650 patients) were included as derivation cohort, and those who visited from May to December 2021 (1 400 patients) were included as validation cohort. The diagnostic performance of the guideline-recommended hs-cTnT 0-2 h cutoff for the rule-out and rule-in of NSTEMI diagnosis was compared among subgroups of patients aged ≤60, >60-70, and >70 years in the derivation group. Rule-out sensitivity, negative predictive value, and rule-out proportion, rule-in specificity, positive predictive value, and rule-in proportion were assessed. Cutoffs were established for subgroups with relatively lower diagnostic performance and validated in the validation group. Major adverse cardiovascular events (MACE) within 30 days after patient visit were used as the outcome, and survival curves were plotted using Kaplan-Meier curves, log-rank tests were used to analyze the incidence of MACE.Results:The sensitivity for ruled-out NSTEMI using the guideline-recommended 0-2 h cutoff in the subgroups of patients aged ≤60, >60-70, and >70 years in the derivation group was 100%; the negative predictive value was 100%; the ruled-out rates were 47.6% (331/696), 45.9% (491/1 070), and 28.5% (252/884), respectively. The specificity for ruled-in NSTEMI was 88.3%, 90.9%, and 86.4%, respectively; the positive predictive values were 55.3%, 59.3%, and 58.2%, respectively; the ruled-in rates were 22.6% (157/696), 19.5% (209/1 070), and 27.0% (239/884), respectively. With a requirement of sensitivity and negative predictive value >99%, the ruled-out cutoff for the subgroup of patients aged >70 years in the derivation group was established as 0 h hs-cTnT <6 ng/L or 0 h hs-cTnT<22 ng/L and 0-2 h Δhs-cTnT <5 ng/L, which increased the ruled-out rate of the subgroup aged >70 years to 45.6% (403/884). In the validation group, 42.2% (196/465) patients could be ruled-out. The incidence of MACE within 30 days for ruled-out patients aged >70 years using the established cutoff was 0.Conclusion:The diagnostic performance for the ruled-out and ruled-in diagnosis using the guideline-recommended 0-2 h hs-cTnT cutoff are relatively consistent across different age groups, but the ruled-out rate for patients aged >70 years is lower than for those aged ≤60 and >60-70 years. The ruled-out cutoff established in this study can be used to improve diagnostic performance of thus indicator on suspected NSTEMI patients.

Objective:To explore the value of deep learning models based on ultrafast dynamic contrast-enhanced MRI (UF-DCE MRI) in predicting malignant breast lesions.Methods:The study was a cross-sectional study. Clinical and imaging data of 347 patients with breast lesions who received treatment at Tianjin Medical University Cancer Institute and Hospital from March 2023 to January 2024 were analyzed retrospectively. A total of 347 lesions were observed in the 347 patients, including 75 benign and 272 malignant lesions. The random number method was used to divide into the training set with 243 cases and the validation set with 104 cases in a ratio of 7∶3. All patients underwent breast UF-DCE MRI and conventional dynamic-enhanced MRI (DCE-MRI). A 27-channel model (27-phase enhancement images of input UF-DCE MRI), a 3-channel model (3-phase enhancement images of input DCE-MRI), and a 1-channel model (1st-phase enhancement images of DCE-MRI) were built based on the pre-trained ResNet18 deep learning model on ImageNet. The efficacy of each model in predicting breast malignant lesions was analyzed using receiver operating characteristic curves and area under the curve (AUC). The differences of AUC were compared using DeLong test.Results:In the training and validation sets, the 27-channel model had the highest AUC for diagnosing malignant breast lesions, which were 0.848 (95% CI 0.818-0.877) and 0.784 (95% CI 0.752-0.817), respectively. DeLong test showed no statistically significant difference in the AUC values of the three models in the validation set for the diagnosis of malignant lesions of the breast in a two-by-two comparison ( P>0.05). UF-DCE MRI scans were 27 phases totaling 81 s with a temporal resolution of 3 s/phase; DCE-MRI scans were 3 phases totaling 270 s with a temporal resolution of 90 s/phase. Conclusions:The model combining UF-DCE MRI with deep learning demonstrates comparable efficacy to DCE-MRI deep learning model in diagnosing breast malignant lesions. However the UF-DCE MRI has the advantages of high temporal resolution and short scanning time, which makes this model valuable for precise diagnosis and treatment of breast cancer.

Hearing loss is the most prevalent disabling disease. Cochlear implantation（CI） serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system（Favorable, Marginal, Poor）. The consensus focuses on common hereditary non-syndromic hearing loss（such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1） and syndromic hereditary hearing loss（such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome）, which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans ; Cochlear Implantation ; Prognosis ; Hearing Loss/surgery* ; Consensus ; Connexin 26 ; Mutation ; Sulfate Transporters ; Connexins/genetics*

Loss-of-function variants in CSDE1 have been strongly linked to neuropsychiatric disorders, yet the precise role of CSDE1 in neurogenesis remains elusive. In this study, we demonstrate that knockout of Csde1 during cortical development in mice results in impaired neural progenitor proliferation, leading to abnormal cortical lamination and embryonic lethality. Transcriptomic analysis revealed that Csde1 upregulates the transcription of genes involved in the cell cycle network. Applying a dual thymidine-labelling approach, we further revealed prolonged cell cycle durations of neuronal progenitors in Csde1-knockout mice, with a notable extension of the G1 phase. Intersection with CLIP-seq data demonstrated that Csde1 binds to the 3' untranslated region (UTR) of mRNA transcripts encoding cell cycle genes. Particularly, we uncovered that Csde1 directly binds to the 3' UTR of mRNA transcripts encoding Cdk6, a pivotal gene in regulating the transition from the G1 to S phases of the cell cycle, thereby maintaining its stability. Collectively, this study elucidates Csde1 as a novel regulator of Cdk6, sheds new light on its critical roles in orchestrating brain development, and underscores how mutations in Csde1 may contribute to the pathogenesis of neuropsychiatric disorders.
Animals ; Neurogenesis/genetics* ; Cell Cycle/genetics* ; Mice, Knockout ; Mice ; Neural Stem Cells/metabolism* ; DNA-Binding Proteins/metabolism* ; Cyclin-Dependent Kinase 6/genetics* ; Cell Proliferation ; 3' Untranslated Regions ; Cerebral Cortex/embryology* ; RNA-Binding Proteins ; Mice, Inbred C57BL

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.