Objective To investigate the association between fibrinogen-to-albumin ratio （FAR） and the overall burden of cerebral small vessel disease （CSVD）， as well as their value in predicting early neurological deterioration （END） in patients with acute ischemic stroke （AIS）. Methods A total of 103 AIS patients who were admitted to our hospital from January 2023 to March 2025 were enrolled. According to the CSVD total burden score， the patients were divided into low burden group （0-2 points） with 58 patients and high burden group （3-4 points） with 45 patients； According to the presence or absence of END， they were divided into END group with 21 patients and non-END group with 82 patients. The weighted generalized additive model combined with smooth curve fitting was used to investigate the correlation between FAR and CSVD total burden score. A logistic regression analysis was used to explore the association of FAR and CSVD total burden score with the prognosis of END in AIS patients. The receiver operating characteristic （ROC） curve was used to assess the value of FAR and CSVD total burden score in predicting END in AIS patients. The restricted cubic spline method was used to analyze the dose-response relationship between FAR and END in AIS patients. The Bootstrap method was used to investigate the mediating effect of CSVD total burden score in the relationship between FAR and END in AIS patients. Results The high burden group had a significantly higher FAR than the low burden group （P<0.05）， and there was a U-shaped relationship between FAR and CSVD total burden score， with an inflection point of 8.14%. Compared with the non-END group， the END group had a significantly higher proportion of patients with a CSVD total burden score of 3-4 points and a significantly higher FAR （P<0.05）. After adjustment for the covariates such as age and sex， FAR （OR=1.918， 95%CI 1.825‒2.157，P<0.05） and CSVD global burden score （OR=2.167，95%CI 2.051‒2.249， P<0.05） were still independently associated with the risk of END in AIS patients. FAR combined with CSVD total load score had a significantly higher predictive value than either indicator alone， with an area under the ROC curve of 0.951. The mediating effect analysis showed that CSVD total burden score played a mediating effect between FAR and AIS patient prognosis END （P<0.05）. Conclusion There is a significant association between FAR and the overall burden of CSVD， and combined measurement of FAR and CSVD total burden score can significantly enhance the performance in predicting END， thereby providing an important basis for developing individualized treatment strategies in clinical practice.

ObjectiveTo investigate the epidemiological and clinical characteristics of human bocavirus (HBoV) in hospitalized children with acute lower respiratory tract infection (ALRTI) at a single-center children’s hospital in Shanghai, thereby providing evidence for the diagnosis, treatment, and prevention of HBoV infection. MethodsA retrospective study was conducted on 19 537 hospitalized children with ALRTI at Shanghai Children’s Hospital from January 2021 to December 2023. Multiplex polymerase chain reaction (PCR) combined with capillary electrophoresis was used to detect HBoV and 12 other common respiratory viruses /atypical pathogens. The positive detection rate, demographic characteristics (sex, age), temporal distribution (year, season) of HBoV, as well as the clinical characteristics of severe and non-severe pneumonia were analyzed. ResultsThe overall HBoV-positive rate was 2.57% (503/19 537), with 59.44% (299/503) being single infections and 40.56% (204/503) being co-infections. The positive detection rate was significantly higher in boys than that in girls (2.78% vs 2.33%, χ²=3.88, P=0.049). The highest infection rate was observed in toddlers, followed by infants (χ²=379.57, P<0.001). The positive rate peaked in 2021 and reached its lowest point in 2023 (χ²=45.49, P<0.001), with epidemics mainly prevalent in summer and autumn. The main clinical symptoms were cough (90.06%, 453/503), fever (75.94%, 382/503), and wheezing (39.96%, 201/503). Children with severe pneumonia showed a higher incidence of wheezing compared with the non-severe group (P<0.001), while underlying diseases and co-infections had no significant association with disease severity (P>0.05). ConclusionHBoV was an important pathogen of ALRTI in children, predominantly affecting infants and toddlers, with higher susceptibility in boys and seasonal peaks in autumn and summer. The main clinical manifestations included cough, fever, and wheezing, with wheezing being more prevalent in children with severe pneumonia.

Liver cirrhosis recompensation refers to the process in which patients with decompensated cirrhosis achieve the disappearance of decompensated complications and restoration of liver function and clinical phenotype to a compensated state after etiological treatment or symptomatic treatment. In recent years， with effective control of the etiology of cirrhosis and treatment or prevention of decompensated complications， the clinical significance of recompensation has gained increasing attention. This article elaborates on recompensation from the aspects of definition， diagnostic criteria， influencing factors， mechanisms affecting long-term prognosis， and clinical management strategies， and with reference to the latest research evidence， this article also discusses the core value of recompensation in improving quality of life and reducing the risk of end-stage events， in order to provide a basis for optimizing the comprehensive management of liver cirrhosis.

Objective To investigate the seroprevalence of antibody against Toxoplasma gondii among patients with hematological malignancies, and compare it with that among health individuals, so as to provide insights into unraveling the pathogenesis of hematological malignancies. Methods A total of 225 patients with hematological malignancies in Department of Hematology, Xuzhou Central Hospital and 300 healthy individuals in the same hospital were enrolled from 2017 to 2024. Blood samples were collected from all subjects, and the serum IgG and IgM antibodies against T. gondii were detected using chemiluminescent immunoassay. Demographic and clinical features were collected from patients with hematological malignancies, including gender, age, contact with cats, consumption of raw or undercooked meat, type of malignancy, clinical symptoms, blood transfusion and treatment, and the seroprevalence of anti-T. gondii antibody was compared among patients with different characteristics. Results The age (t = 0.72, P > 0.05) and gender (χ² = 0.93, P > 0.05) were compared between patients with hematological malignancies and healthy individuals. The seroprevalence of T. gondii infection was 20.89% among patients with hematological malignancies and 4.33% among healthy individuals (χ² = 34.81, P < 0.01), and the seroprevalence of anti-T. gondii IgG antibody was 20.89% among patients with hematological malignancies and 4.33% among healthy individuals (χ² = 34.81, P < 0.01), while there was no significant difference in the seroprevalence of anti-T. gondii IgM antibody between patients with hematological malignancies and healthy individuals (1.33% vs. 0; corrected χ² = 2.02, P > 0.05). The seroprevalence of T. gondii infection was 23.08% among patients with leukemia, 16.67% among patients with lymphoma, 19.23% among patients with multiple myeloma, 24.00% among patients with myeloproliferative neoplasm, and 26.09% among patients with myelodysplastic syndrome (χ² = 1.44, P > 0.05), and was all higher than among healthy individuals (corrected χ² = 23.92, 10.74, 13.76, 12.84 and 14.54; all P values < 0.01). In addition, there were no significant differences in the detection of anti-T. gondii antibody among patients with hematological malignancies in terms of gender, age, contact with cats, consumption of raw or undercooked meat, chemotherapy or blood transfusion (χ² = 0.76, 1.97, 0, 2.81, 2.38 and 0.66; all P values > 0.05). Conclusions There is a high risk of T. gondii infection among patients with hematological malignancies, and intensified surveillance of T. gondii infection is recommended among patients with hematological malignancies.

BACKGROUND:Studies have shown that the vulnerability and elasticity of carotid plaques are related to the presence and degree of neovascularization within the plaque. Ultrasound,as the preferred measure to screen and evaluate vulnerable carotid plaques,is non-invasive,easy to perform,highly reproducible and radiation-free.OBJECTIVE:To investigate the influencing factors of vulnerable carotid plaque in the high-risk stroke population based on clinical baseline characteristics and carotid ultrasound parameters,and to develop a Nomogram prediction model based on independent risk factors.METHODS:A total of 180 patients who were identified to be at high risk of stroke by stroke screening at Fuzhou First People's Hospital from November 2021 to November 2023 were retrospectively selected as the study objects,and the patients were divided into a modeling set (n=126) and a validation set (n=54)at a ratio of 7∶3. According to the results of carotid artery ultrasound,the subjects in the modeling set were divided into a vulnerable plaque group (n=54) and a non-vulnerable plaque group (n=72). Independent risk factors were obtained by multi-factor Logistic regression,and a Nomogram model was constructed. Decision curves were drawn using R language to evaluate the clinical benefit of the model. The predictive efficacy of the model was tested by receiver operating characteristic curve and calibration curve,and the case data of the validation set were analyzed for external validation.RESULTS AND CONCLUSION:Multivariate Logistic regression results showed that age,family history of stroke,maximum carotid plaque thickness,carotid plaque quantity,urine microalbumin,urine microalbumin/creatinine ratio were associated with vulnerable carotid plaques in patients at high risk of stroke (P<0.05). The area under curve of the established Nomogram model was 0.917,and the sensitivity and specificity were 79.6％ and 91.7％,respectively. The results of decision curve showed that the potential clinical benefit of this model was considerable and its usability was high. The calibration curve results showed that the model had good prediction accuracy. The verification set results showed that the external prediction performance of the model was good. To conclude,age,family history of stroke,and maximum carotid plaque thickness in the high-risk population are all factors that influence this prediction model. This Nomogram based on these independent risk factors can provide a powerful reference for the clinical treatment of this high-risk population.

Objective:To investigate the differences in protein profile expression in serum samples from children with corona virus disease 2019（COVID-19）related encephalopathy and to explore the underlying mechanisms.Methods:From December 1,2022 to January 31,2023,28 children with COVID-19 who were admitted to the Department of Pediatric Intensive Medicine at Shandong Provincial Hospital Affiliated to Shandong First Medical University were collected,including 21 patients with encephalopathy(COVID-19 with encephalopathy group) and seven patients without encephalopathy(COVID-19 without encephalopathy group).Three children from each group were selected for serum proteomic analysis using tandem mass spectrometry labeling proteomics technology.Proteins were considered significantly different if the fold change was >1.2 or <0.8，with P<0.05.Bioinformatics analysis，including Gene Ontology and Kyoto Encyclopedia of Genes and Genomes Pathway Enrichment were performed on differentially expressed proteins.Protein-protein interaction networks were analyzed using the STRING database.Selected proteins were further validated by enzyme-linked immunosorbert assay. Results:A total of 41 differentially expressed proteins were identified between the two groups.Among these，14 proteins were upregulated and 27 proteins were downregulated in COVID-19 patients with encephalopathy compared to those without encephalopathy.Bioinformatics analysis revealed that these proteins were primarily enriched in critical signaling pathways，including complement and coagulation regulation，neutrophil degranulation and activation，and platelet degranulation.Enzyme-linked immunosorbert assay validation confirmed significant differences in key coagulation-regulating proteins(von willebrand factor upregulated，serpin family F member 2 downregulated in COVID-19 patients with encephalopatly）between the two groups.Conclusion:Coagulation dysfunction may play a role in the development of COVID-19 associated encephalopathy in children，providing valuable insights for future research.

OBJECTIVE: To identify the optimal machine learning algorithm for predicting post-stroke epilepsy (PSE) within one year following acute stroke, establish a nomogram model based on this algorithm, and perform external validation to achieve accurate prediction of secondary epilepsy. METHODS: A total of 870 acute stroke patients admitted to the emergency department of Xiang'an Hospital of Xiamen University from June 2019 to June 2023 were enrolled for model development (model group). An external validation cohort of 435 acute stroke patients admitted to the Fifth Hospital of Xiamen during the same period was used to validate the machine learning algorithms and nomogram model. Patients were classified into control and epilepsy groups based on the development of PSE within one year. Clinical and laboratory data, including baseline characteristics, stroke location, vascular status, complications, hematologic parameters, and National Institutes of Health Stroke Scale (NIHSS) score, were collected for analysis. Nine machine learning algorithms such as logistic regression, CN2 rule induction, K-nearest neighbors, adaptive boosting, random forest, gradient boosting, support vector machine, naive Bayes, and neural network were applied to evaluate predictive performance. The area under the curve (AUC) of receiver operator characteristic curve (ROC curve) was used to identify the optimal algorithm. Logistic regression was used to screen risk factors for PSE, and the top 10 predictors were selected to construct the nomogram model. The predictive performance of the model was evaluated using the ROC curve in both the model and validation groups. RESULTS: Among the 870 patients in the model group, 29 developed PSE within one year. Among the nine algorithms tested, logistic regression demonstrated the best performance and generalizability, with an AUC of 0.923. Univariate logistic regression identified several risk factors for PSE, including platelet count, white blood cell count, red blood cell count, glycated hemoglobin (HbA1c), C-reactive protein (CRP), triglycerides, high-density lipoprotein (HDL), aspartate aminotransferase (AST), alanine aminotransferase (ALT), activated partial thromboplastin time (APTT), thrombin time, D-dimer, fibrinogen, creatine kinase (CK), creatine kinase-MB (CK-MB), lactate dehydrogenase (LDH), serum sodium, lactic acid, anion gap, NIHSS score, brain herniation, periventricular stroke, and carotid artery plaque. Further multivariate logistic regression analysis showed that white blood cell count, HDL, fibrinogen, lactic acid and brain herniation were independent risk factors [odds ratio (OR) were 1.837, 198.039, 47.025, 11.559, 70.722, respectively, all P < 0.05]. In the external validation group, univariate logistic regression analysis showed that platelet count, white blood cell count, CRP, triacylglycerol, APTT, D-dimer, fibrinogen, CK, CK-MB, LDH, NIHSS score, and cerebral herniation were risk factors for PSE one year after acute stroke. Further multiple logistic regression analysis showed that APTT and cerebral herniation were independent predictors (OR were 0.587 and 116.193, respectively, both P < 0.05). The nomogram model, constructed using 10 key variables-brain herniation, periventricular stroke, carotid artery plaque, white blood cell count, triglycerides, thrombin time, D-dimer, serum sodium, lactic acid, and NIHSS score-achieved an AUC of 0.908 in the model group and 0.864 in the external validation group. CONCLUSIONS The logistic regression-based prediction model for epilepsy one year after acute stroke, developed using machine learning algorithms, showed optimal predictive performance. The nomogram model based on the logistic regression-derived predictors showed strong discriminative power and was successfully validated externally, suggesting favorable clinical applicability and generalizability.
Humans ; Machine Learning ; Stroke/complications* ; Nomograms ; Epilepsy/etiology* ; Algorithms ; Male ; Female ; Logistic Models ; Middle Aged ; Aged ; Risk Factors ; Bayes Theorem

OBJECTIVE To explore the significance of pharmaceutical care through the diagnosis and treatment of a patient with exogenous insulin autoimmune syndrome(EIAS),combined with the analysis of literature reports.METHODS Clinical pharmacist participated in the diagnosis and treatment process of one case of EIAS.Based on the characteristics of the patient's condition,the pharmacist provided medication suggestions and formulated pharmaceutical monitoring measures.At the same time,the pharmacist searched for relevant literature on insulin autoimmune syndrome(IAS)and EIAS,extracted data(gender,age,occurrence time,laboratory tests,clinical symptoms,intervention and outcome),and conducted analysis.RESULTS Based on the patient's medication information in the past 3 years,clinical pharmacist determined that the EIAS was likely caused by insulin aspartate 30.The clinician adopted the clinical pharmacist's suggestion to discontinue insulin and switch to oral hypoglycemic drugs.The patient improved after treatment.The literature analysis showed that among the 257 patients with IAS reported,212 cases were caused by drugs;among them,23 cases were caused by lipoic acid,and 56 cases were caused by exogenous insulin.There were no significant differences in age,glycosylated hemoglobin,and body mass index between the two groups.The lowest blood glucose level in the lipoic acid group was significantly lower than that in the exogenous insulin group(P＜0.05).The proportion of females and the proportion of fasting insulin≥1 000 μU/mL were significantly higher in the lipoic acid group than in the exogenous insulin group(P＜0.05).CONCLUSIONS Compared with EIAS,lipoic acid-induced IAS usually causes more severe hypoglycemia,and the fasting insulin level is usually higher than 1 000 μU/mL,which is more common in female patients.The participation of clinical pharmacists in the diagnosis and treatment of EIAS can help improve the diagnosis and treatment level of similar rare diseases and ensure the safety of patients'medication.

Objective:To analyze the distribution and epidemiological characteristics of non-bacterial pathogens in hospitalized children with acute respiratory infections at a tertiary pediatric hospital in Shanghai during 2023.Methods:A retrospective study was conducted on 10 591 children with acute respiratory tract infections who were hospitalized in Shanghai Children's Hospital from January to December 2023. A multiplex PCR combined with capillary electrophoresis platform was used to detect 11 common non-bacterial respiratory pathogens（including viruses and atypical pathogens）. Statistical analysis was carried out using SPSS 29.0 software. Qualitative data were presented as numbers and percentages，and the Chi-square test was employed to make comparisons between groups，aiming to analyze the differences in the distribution of different pathogens according to gender，age group，and season. Additionally，based on the severity of the disease，patients were calssified into a severe pneumonia group and a non-severe pneumonia group to further explore the characteristics of the pathogen spectrum of severe pneumonia.Results:The total detection rate of pathogens was 54.39%（5 760/10 591），and the proportion of mixed infections was 12.76%（735/5 760）. The dominant pathogens and their proportions were as follows： Mycoplasma pneumoniae（19.20%，2 034/10 591），human rhinovirus（12.16%，1 288/10 591），influenza A virus（8.31%，880/10 591），and respiratory syncytial virus（8.14%，862/10 591）. Epidemiological characteristics showed that：（1）In terms of age： Mycoplasma pneumoniae was more common in older children（29.55%，901/3 049，in the school-age group，χ 2 = 653.67， P<0.001）. Influenza A virus had a high incidence in the adolescent group（11.34%，45/397，χ 2=48.69， P<0.001）. Respiratory syncytial virus was most susceptible in the infant group（20.94%，280/1 337，χ 2=739.92， P<0.001）. Human rhinovirus showed the characteristic of general susceptibility across all ages.（2）Monthly and seasonal distribution： Mycoplasma pneumoniae had a seasonal epidemic in summer and autumn（it began to rise in May and peaked in October at 34.22%，439/1 283）；influenza A virus had a bimodal distribution in spring and winter（the peak was 37.15% in March，315/848）；respiratory syncytial virus had a dominant epidemic in spring and summer（the detection rate was 21.24% in May，206/970），and human rhinovirus was prevalent throughout the year.（3）Clinical correlation：The detection rate of pathogens in the severe pneumonia group was significantly higher than that in the non-severe group：84.19%（426/506） vs 2.89%（5 334/10 085），χ 2=56.23， P<0.001. Conclusions:In 2023，the pathogen spectrum of hospitalized children with acute respiratory infections in the Shanghai area exhibits an epidemic pattern dominated by Mycoplasma pneumoniae，and its transmission dynamics are significantly age-dependent. This study delineates the pathogen-host-environment tripartite interactions，establishing an evidence-based foundation for formulating precision diagnostic-therapeutic algorithms and seasonal nosocomial infection prevention frameworks.

Objective:To explore the application effect of family participatory multisensory support programme based on the theory of enriched environment on preterm infants and their mothers in neonatal intensive care unit (NICU).Methods:A historical comparative study was conducted. One hundred and sixteen pairs of preterm infants and their mothers admitted to NICU, Affiliated Hospital of Youjiang Medical University for Nationalities from March to October 2023 were selected by convenience sampling method and divided into control group and experimental group according to the time of admission. The control group was given routine care, while the experimental group implemented a family participatory multisensory support programme based on the enriched environment theory on the basis of the control group. The amplitude-integrated electroencephalography (aEEG) scores and the Chinese version of Parent-Child Interaction Feeding Scale (PCI-FS-C) scores before and after intervention, the Gesell developmental quotients at 40 weeks and 3 months of gestational age, the Chinese version of Maternal Attachment Inventory (CMAI) scores of preterm mothers on the day of discharge and 1 and 3 months after discharge were compared between the two groups.Results:A total of 105 pairs of premature infants and their mothers were included, 52 premature infants of control group, 29 males and 23 females; 53 premature infants of experimental group, including 32 males and 21 females. Before intervention, there were no significant differences in aEEG scores and PCI-FS-C scores between the two groups (all P>0.05). After intervention, the scores of aEEG and PCI-FS-C in the experimental group were (10.91 ± 2.18) and (12.62 ± 1.32) points, respectively, which were higher than (9.67 ± 1.94) and (10.42 ± 1.45) points in the control group, and the differences were statistically significant ( t=3.06, 8.15, both P<0.05). The Gesell developmental quotient were (54.03 ± 9.73), (55.17 ± 11.19), (57.20 ± 11.04), (53.60 ± 9.74), (55.17 ± 10.11) at 40 weeks of gestational age, and (77.15 ± 11.55), (76.62 ± 9.90), (72.76 ± 11.90), (81.47 ± 10.01), (76.51 ± 12.25) at 3 months of gestational age, respectively, which were higher than the control group (49.70 ± 9.07), (49.06 ± 8.61), (52.41 ± 9.01), (49.28 ± 8.78), (50.07 ± 12.52), and (71.10 ± 11.87), (69.02 ± 12.53), (65.77 ± 12.24), (75.08 ± 11.08), (68.63 ± 10.89), the differences were statistically significant ( t values were 2.30-3.49, all P<0.05). The CMAI scores of preterm mothers in the experimental group were (82.81 ± 12.85), (87.70 ± 10.29), (95.91 ± 8.76) points on the day of discharge and 1 and 3 months after discharge, respectively, which were higher than (68.71 ± 14.15), (82.04 ± 11.87), (90.98 ± 11.13) points of the control group, the differences were statistically significant ( t=5.35, 2.61, 2.52, all P<0.05). Conclusions:The family participatory multisensory support programme based on the theory of enriched environment can accelerate the maturation of brain electrical activity in preterm infants and promote brain function and neurobehavioural development; meanwhile, it improves maternal sensitivity and promotes the establishment of mother-infant attachment relationship in preterm infants.