Objective To investigate the regularity and characteristics of lithium carbonate-induced thyroid adverse drug reaction(ADR),to provide reference for clinical rational drug use.Methods The case reports of thyroid ADR caused by lithium carbonate in National Center for ADR Monitoring,China were retrieved,and the gender and age of patients,medication reasons,combined medication,dosage and clinical manifestations of thyroid ADR were retrospectively analyzed.Results A total of 237 cases of thyroid ADR caused by lithium carbonate were reported,the ratio of male to female was 1∶1.7,the frequency was higher in the age group of 20 to 29 years,and the proportion of drug use within the range of instruction dosage was 97.8％.According to the statistics of drugs used in combination,the most drugs were for mental disorders,and the time of ADR occurrence was mostly 10 to 30 days after taking the drug.The main clinical manifestations of thyroid ADR were hypothyroidism,goiter and hyperthyroidism.Conclusion Lithium carbonate-induced thyroid ADR mostly occurred at the therapeutic dose,which was related to the patient's gender,age,combined medication and other factors.Clinicians and pharmacists should master the rules and characteristics of thyroid ADR caused by lithium carbonate,timely detect and treat ADR,to provide guarantee for the safety of patients' medication.

UNLABELLED: OBJECTIVE：To explore the clinical characteristics and genetic etiology of a child with CAKUTHED syndrome. METHODS: A child who was admitted to the neonatal department of Gansu Provincial Maternal and Child Health Care Hospital due to "neonatal asphyxia" in May 2021 was selected as the study subject. Genomic DNA was extracted from peripheral venous blood samples from the child and his parents, and whole exome sequencing (WES) was carried out. Sanger sequencing was used to verify the candidate variant of the PBX1 gene. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the pathogenicity of candidate variants was rated. This study was approved by the Medical Ethics Committee of the Hospital [Ethics No.: 2021GSFY (65)]. RESULTS: The proband, a male neonate, manifested renal dysplasia, congenital heart disease, pulmonary dysplasia, mediastinal hernia, cryptorchidism, and clavicle dysplasia. WES revealed that he had harbored a heterozygous c.863G>A (p.Arg288Gln) missense variant in exon 6 of PBX1 gene, which resulted substitution of Arginine at position 288 by Glutamine, for which both parents were of the wild type. The variant was unreported previously and rated as pathogenic (PS2+PM1+PM2_Supporting+PP2+PP3) based on the ACMG guidelines. CONCLUSION The c.863G>A variant of the PBX1 gene probably underlay the pathogenesis in the proband. Above finding has enriched the mutational spectrum of the PBX1 gene.
Humans ; Male ; Pre-B-Cell Leukemia Transcription Factor 1/genetics* ; Phenotype ; Infant, Newborn ; Exome Sequencing ; Mutation, Missense ; Heart Defects, Congenital/genetics* ; Abnormalities, Multiple/genetics*

Objective Heart failure(HF)complicated by acute kidney injury(AKI)significantly impacts patient outcomes,and it is crucial to make early predictions of short-term mortality.This study is focused on developing an interpretable machine learning model to enhance early prediction accuracy in such clinical scenarios.Methods This retrospective cohort study utilized data from the Medical Information Mart for Intensive Care Ⅳ(MIMIC-Ⅳ,version 2.0)database.Data from the first 24 hours after admission to the ICU were extracted and divided into a training set(70％)and a validation set(30％).We utilized the SHapley Additive exPlanation(SHAP)method to interpret the workings of an extreme gradient boosting(XGBoost)model and identify key prognostic factors.The XGBoost model's predictive ability was evaluated against three other machine learning models using the area under the curve(AUC)metric,and its interpretation was enhanced using the SHAP method.Results The study included 8 028 patients with HF complicated by AKI.The XGBoost model outperformed the other models,achieving an AUC of 0.93(95％confidence interval[CI]:0.78-0.94;accuracy=0.89),while neural network model showed the worst performance(AUC=0.79,95％CI:0.77-0.82;accuracy=0.82).Decision curve analysis showed the superior net benefit of the XGBoost model within the 9％to 60％threshold probabilities.SHAP analysis was performed to identify the top 20 predictors,with age(mean SHAP value 1.29)and Glasgow Coma Scale score(mean SHAP value 1.24)emerging as significant factors.Conclusions Our interpretable model offers an enhanced ability to predict mortality risk in HF patients with AKI in ICUs.This model can be used to assist in formulating effective treatment plans and optimizing resource allocation.

Motor imagery (MI) is a mental process that can be recognized by electroencephalography (EEG) without actual movement. It has significant research value and application potential in the field of brain-computer interface (BCI) technology. To address the challenges posed by the non-stationary nature and low signal-to-noise ratio of MI-EEG signals, this study proposed a Riemannian spatial filtering and domain adaptation (RSFDA) method for improving the accuracy and efficiency of cross-session MI-BCI classification tasks. The approach addressed the issue of inconsistent data distribution between source and target domains through a multi-module collaborative framework, which enhanced the generalization capability of cross-session MI-EEG classification models. Comparative experiments were conducted on three public datasets to evaluate RSFDA against eight existing methods in terms of classification accuracy and computational efficiency. The experimental results demonstrated that RSFDA achieved an average classification accuracy of 79.37%, outperforming the state-of-the-art deep learning method Tensor-CSPNet (76.46%) by 2.91% ( P < 0.01). Furthermore, the proposed method showed significantly lower computational costs, requiring only approximately 3 minutes of average training time compared to Tensor-CSPNet's 25 minutes, representing a reduction of 22 minutes. These findings indicate that the RSFDA method demonstrates superior performance in cross-session MI-EEG classification tasks by effectively balancing accuracy and efficiency. However, its applicability in complex transfer learning scenarios remains to be further investigated.
Electroencephalography/methods* ; Brain-Computer Interfaces ; Humans ; Imagination/physiology* ; Signal Processing, Computer-Assisted ; Movement/physiology* ; Signal-To-Noise Ratio ; Deep Learning ; Algorithms

Objective To review the clinical characteristics of Slackia exigua infections for improving the diagnosis and treatment.Methods We reviewed the clinical characteristics of a case of pulmonary abscess caused by Slackia exigua.The infection cases caused by Slackia exigua were searched and retrieved from PubMed,CNKI,and Wanfang databases,for the articles published during the period from January 1,2011 to December 31,2023.Results Among the 15 cases of Slackia exigua infection,84.6％(11/13)had underlying diseases.Hypertension was the most common underlying disease,reported in 54.5％(6/11)of patients.Fever was present in 73.3％(11/15)of patients.Oral diseases and abscess caused by Slackia exigua were found in 63.6％(7/11)and 60.0％(9/15)of patients,respectively.Mixed infection was identified in 33.3％(5/15)of patients.The bacterium was susceptible to penicillin,ampicillin-sulbactam,ceftriaxone,levofloxacin and clindamycin,but mostly(2/3)resistant to metronidazole.Conclusions Slackia exigua infection often originates from oral aspiration and can cause abscess.Beta-lactam antibiotics are preferred for treatment of Slackia exigua infections.More data are required to confirm whether metronidazole is effective.

Objective To analyze the clinical manifestations and genetic etiology of three families with hereditary spastic paraplegia(HSP).Methods Gene analysis was performed on patients of the three HSP families from the Gansu Provincial Maternity and Child-care Hospital.Results The proband of family 1 was autosomal recessive spastic paraplegia type 35 caused by homozygous variant c.159_176delGGCGGGCCAGGACATCAG(p.Arg53_Ser59delinsSer)in FA2H.The proband in family 2 was autosomal recessive spastic paraplegia type 47 caused by homozygous variant c.1399G>T(p.Glu467Ter)in AP4B1,and the proband in family 3 was autosomal recessive spastic paraplegia type 11 caused by homozygous variation c.7023C>G(p.Tyr2341Ter)in SPG11.Among them,the variant c.1399G>T(p.Glu467Ter)of AP4B1 is a novel variant,that has not been reported before,according to the ACMG guidelines,the pathogenicity of this variant is pathogenic.Conclusion This study has expanded the variant spectrum of AP4B1 which provides basic data to improve clinical understanding and diagnostic capabilities of HSP patients.

Metastasis is a pivotal and intricate process in the progression of malignant tumors,strongly correlating with poor prognosis.Approximately 90%of cancer-related mortality is attributed to metastasis,with the five-year survival rate for patients with metastatic solid tumors ranging from 5%to 30%.Consequently,a comprehensive understanding of the underlying biological mechanisms driving metastasis is essential for unraveling its core processes and developing novel therapeutic strategies.The metastatic cascade involves tumor cells navigating numerous biological barriers,including detachment from the primary tumor,invasion of blood vessels or lymphatics,survival in circulation,extravasation into distant organs and subsequent adaptation to the microenvironment.To surmount these challenges,tumor cells undergo phenotypic changes,genetic mutations and dysregulating signaling pathways.Additionally,microenvironmental factors(such as angiogenesis,matrix remodeling and immune evasion)play a critical role,orchestrating the initiation and growth of metastatic lesions in an interdependent manner.Organ-specific metastasis,a distinct subset of metastasis,involves dynamic bidirectional interactions between tumor cells and the microenvironment of target organs.These interactions determine the selectivity of metastatic spread and drive the adaptive evolution of both the tumor and the organ,which encompasses multiple layers of cellular interactions,including cell-cell and cell-matrix signaling.Tumor cell mutations,the release of specific signaling molecules,the capacity to withstand circulatory pressures,and signaling exchanges with target organs collectively govern the selective nature of organ-specific metastasis.Furthermore,factors intrinsic to the target organ-such as its regenerative potential,metabolic profile,immune surveillance mechanisms and matrix stiffness-further facilitate the adaptive remodeling of metastatic cells within these environments.Thus,the bidirectional selection and adaptation between tumor cells and target organs form a dynamic,complex system that reshapes our understanding of metastatic tumor development.While current research emphasizes shared biological features in metastasis,the successful formation of metastatic tumors depends not only on these common mechanisms but also on the unique characteristics governing organ-specific metastasis.The interplay between generalizable and organ-specific mechanisms profoundly influences the metastatic outcome.This review aimed to consolidate our current knowledge of these shared and distinct processes,analyze the evolving understanding of the bidirectional selection between tumor cells and target organs,and assess the current status of metastatic risk prediction models for patients without metastasis.Furthermore,the paper discussed the challenges and opportunities in managing advanced-stage metastatic tumors,offering new insights and potential clinical strategies to improve prognosis and treatment outcomes.

Objective To review the clinical characteristics of Slackia exigua infections for improving the diagnosis and treatment.Methods We reviewed the clinical characteristics of a case of pulmonary abscess caused by Slackia exigua.The infection cases caused by Slackia exigua were searched and retrieved from PubMed,CNKI,and Wanfang databases,for the articles published during the period from January 1,2011 to December 31,2023.Results Among the 15 cases of Slackia exigua infection,84.6％(11/13)had underlying diseases.Hypertension was the most common underlying disease,reported in 54.5％(6/11)of patients.Fever was present in 73.3％(11/15)of patients.Oral diseases and abscess caused by Slackia exigua were found in 63.6％(7/11)and 60.0％(9/15)of patients,respectively.Mixed infection was identified in 33.3％(5/15)of patients.The bacterium was susceptible to penicillin,ampicillin-sulbactam,ceftriaxone,levofloxacin and clindamycin,but mostly(2/3)resistant to metronidazole.Conclusions Slackia exigua infection often originates from oral aspiration and can cause abscess.Beta-lactam antibiotics are preferred for treatment of Slackia exigua infections.More data are required to confirm whether metronidazole is effective.

Objective To analyze the clinical manifestations and genetic etiology of three families with hereditary spastic paraplegia(HSP).Methods Gene analysis was performed on patients of the three HSP families from the Gansu Provincial Maternity and Child-care Hospital.Results The proband of family 1 was autosomal recessive spastic paraplegia type 35 caused by homozygous variant c.159_176delGGCGGGCCAGGACATCAG(p.Arg53_Ser59delinsSer)in FA2H.The proband in family 2 was autosomal recessive spastic paraplegia type 47 caused by homozygous variant c.1399G>T(p.Glu467Ter)in AP4B1,and the proband in family 3 was autosomal recessive spastic paraplegia type 11 caused by homozygous variation c.7023C>G(p.Tyr2341Ter)in SPG11.Among them,the variant c.1399G>T(p.Glu467Ter)of AP4B1 is a novel variant,that has not been reported before,according to the ACMG guidelines,the pathogenicity of this variant is pathogenic.Conclusion This study has expanded the variant spectrum of AP4B1 which provides basic data to improve clinical understanding and diagnostic capabilities of HSP patients.