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.

ObjectiveTo compare the clinical features of patients with hepatitis B virus （HBV）-related early-onset liver cancer and those with late-onset liver cancer， to assess the severity of the disease， and to provide a theoretical basis for the early diagnosis and treatment of liver cancer. MethodsA retrospective analysis was performed for 695 patients who were diagnosed with HBV-related liver cancer for the first time in Guangzhou Eighth People’s Hospital， Guangzhou Medical University， from January 2019 to August 2023， among whom 93 had early-onset liver cancer （defined as an age of50 years for female patients and40 years for male patients） and 602 had late-onset liver cancer （defined as an age of ≥50 years for female patients and ≥40 years for male patients）. Related clinical data were collected， including demographic data， clinical symptoms at initial diagnosis， comorbidities， smoking history， drinking history， family history， routine blood test results， biochemical parameters of liver function， serum alpha-fetoprotein（AFP）， virological indicators， coagulation function， and imaging findings. The pan-inflammatory indices neutrophil-to-lymphocyte ratio （NLR）， platelet-to-lymphocyte ratio （PLR）， and lymphocyte-to-monocyte ratio （LMR） were calculated， as well as FIB-4 index， aspartate aminotransferase-to-platelet ratio index （APRI）， S index， Model for End-Stage Liver Disease （MELD） score， Child-Turcotte-Pugh （CTP） score， albumin-bilirubin （AIBL） grade， and Barcelona Clinic Liver Cancer （BCLC） stage. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test or Fisher’s exact test were used for comparison of categorical data between two groups. ResultsThere were significant differences between the two groups in the proportion of male patients and the incidence rates of diabetes， hypertension， and fatty liver disease （χ²=6.357， 15.230， 11.467， and 14.204， all P0.05）， and compared with the late-onset liver cancer group， the early-onset liver cancer group had a significantly higher proportion of patients progressing to liver cancer without underlying cirrhosis （χ²=24.657， P0.001） and a significantly higher proportion of patients with advanced BCLC stage （χ²=6.172， P=0.046）. For the overall population， the most common clinical symptoms included abdominal distension， abdominal pain， poor appetite， weakness， a reduction in body weight， edema of both lower limbs， jaundice， yellow urine， and nausea， and 55 patients （7.9%） had no obvious symptoms at the time of diagnosis and were found to have liver cancer by routine reexamination， physical examination suggesting an increase in AFP， or radiological examination indicating hepatic space-occupying lesion； compared with the late-onset liver cancer group， the patients in the early-onset liver cancer group were more likely to have the symptoms of abdominal distension， abdominal pain， and jaundice （all P0.05）. Compared with the late-onset liver cancer group， the early-onset liver cancer group had a significantly larger tumor diameter （Z=2.845， P=0.034）， with higher prevalence rates of multiple tumors and intrahepatic， perihepatic， or distant metastasis （χ²=5.889 and 4.079， both P0.05）， and there were significant differences between the two groups in tumor location and size （χ²=3.948 and 11.317， both P0.05）. Compared with the late-onset liver cancer group， the early-onset liver cancer group had significantly lower FIB-4 index， proportion of patients with HBsAg ≤1 500 IU/mL， and levels of LMR and Cr （all P0.05）， as well as significantly higher positive rate of HBeAg and levels of log₁₀ HBV DNA， AFP， WBC， Hb， PLT， NLR， PLR， TBil， ALT， Alb， and TC （all P0.05）. ConclusionCompared with late-onset liver cancer， patients with early-onset liver cancer tend to develop liver cancer without liver cirrhosis and have multiple tumors， obvious clinical symptoms， and advanced BCLC stage， which indicates a poor prognosis.

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 retrospectively analyze the prevalence of ventilator-associated pneumonia(VAP)in Gansu Province in 2023 so as to provide scientific bases for formulating and optimizing prevention and control strategies for VAP in the health care institutions of the province.METHODS The data regarding to VAP of 2023 were collected from the regional surveillance platform of Gansu Province Nosocomial Infection Management Quali-ty Control Center.The influencing factors for the VAP were assessed by means of Poisson regression model.RESULTS In 2023,the median incidence of VAP was 3.51 ‰ among the 93 hospitals in Gansu Province.There was significant difference in the incidence of VAP among the different regions,levels and types of hospitals(P＜0.05).The length of hospital stay and ventilator treatment duration of the tertiary hospitals were 3458(1904,6770)days and 1 274(740,2040)days,respectively,higher than those of the secondary hospitals;the incidence of VAP was 4.89(2.82,7.40)‰ in the tertiary hospitals,higher than that in the secondary hospitals(all P＜0.05).The incidence of VAP of the general hospitals was 3.94(2.66,6.92)‰,higher than 2.06(1.03,3.27)‰ of the specialized hospitals(P＜0.001).With the respect to the regional factor,Qingyang City,Baiyin City,Dingxi City and Linxia City were at lower risk of VAP than Lanzhou City after the related factors were controlled through Poisson regression analysis(P＜0.05),while Zhangye City and Jiayuguan City were at higher risk of VAP(P＜0.05).The analysis of seasonal factors showed that the incidence of VAP presented seasonal fluctuation,the inci-dence of VAP was higher in the second and fourth quarters;however,there was no significant difference in the risk of VAP among the quarters.CONCLUSIONS The incidence of VAP is decreased in Gansu Province in 2023 as compared with that in previous years,however,there is certain difference among the different regions.The inci-dence rates of VAP are relatively high in the tertiary hospitals and the general hospitals.It is necessary to strengthen the surveillance in related areas and take active prevention and control measures,so as to reduce the in-cidence of VAP.

OBJECTIVE To compare the effect of traditional swab sampling method on etiological surveillance of in-fectious diseases for large-scale object surfaces in hospitals and validate the samples processing method based on pre-wet anti-static fabric and modified polyethylene glycol(PEG)precipitation enrichment technology so as to im-prove the capability of early warning of infectious diseases and optimize the environmental surveillance program in the hospitals.METHODS The on-site surveillance was carried out for 8 times in 3 public hospitals(Shenzhen Longgang People's Hospital,the Second People's Hospital of Longgang and Longgang Maternal and Child Health Hospital)from May 2024 to Mar.2025.Totally 23 types of respiratory tract pathogens(18 types of viruses,5 type of pathogenic bacteria)and 6 types of gastrointestinal tract pathogens were simultaneously detected by means of fluorescent quantitative polymerase chain reaction(PCR);the actual isolation rates,etiological spectrum and cycle threshold(Ct)value were compared.The acrylic plate added with standards of different loads of H1NI influ-enza viruses was used as model for laboratory evaluation.The minimum detection limit,sensitivity and repeatabili-ty were observed and compared between the methods.RESULTS The minimum detection limit of both methods was 6.0 × 104 copies/ml,however,the positive rate of nucleic acid testing of the pre-wet fabric method was 100.00％(3/3),higher than 33.33％(1/3)of the swab method;when the low viral load was 6.0× 105 copies/ml,the average concentration of viral nucleic acid of the pre-wet fabric method(X-Ct=36.59)was higher,with the re-peatability(CV=0.99％,＜3.14％)better.The results of the on-site surveillances showed that the total isolation rates of pathogens of the pre-wet fabric method ranged between 42.84％and 64.27％,higher than between 10.71％and 21.43％of the swab method,with the isolated pathogens more abundant,the Ct value lower(P＜0.05).CONCLUSION The pre-wet fabric sampling enrichment method integrated with anti-static fabric sampling and PEG enrichment technology shows higher sensitivity and stability in the etiological surveillance of large-scale object surfaces,raising the isolation rate.

Immune checkpoint inhibitors(ICIs)are currently used to treat a variety of tumors.However,there are adverse reactions related to the immune system.Type 1 diabetes mellitus(T1DM)outbreak is a rare endocrine complication,as is ICIs-related myocarditis.This article reports a patient with diabetic ketoacidosis and severe myocarditis after ICIs treatment for lung cancer.After fluid infusion,acid correction,insulin hypoglycemic therapy,and high-dose hormone pulse therapy,the patient showed clinical improvement and was discharged.Through the analysis of the patient's clinical data,we aimed to improve clinicians'understanding of ICIs-associated DM and myocarditis,and to review the literature on possible pathogenesis and treatment.

Objective:The purpose of this study was to develop a dynamic prediction model for patients with gastric signet ring cell cancer (GSRCC)following laparoscopic radical gastrectomy in order to improve the precision and usefulness of prognoses prediction for overall survival and disease-free survival.Methods:From 2011 to 2018, 914 National Cancer Center patients participated in the study. To find independent prognostic indicators and create a prognostic nomogram model, univariate and multivariate regression analyses were performed. Calibration curves, receiver operating characteristic curves, and consistency indices were used to assess the model's performance. To make clinical application more convenient, two web-based prediction tools were created.Results:A training set of 639 cases and a validation set of 275 instances were randomly selected from among the patients. Important predictive variables such as age, tumor size, location, pN and pT staging, and postoperative chemotherapy were all incorporated in the model (all P<0.05). The model's consistency index and area under the receiver operating characteristic curves were both higher than 0.7, and the calibration curves demonstrated a good fit between the expected and actual values, indicating high accuracy and consistency in postoperative survival prediction for patients with gastric signet ring cell carcinoma. Conclusion:We successfully developed two dynamic prediction models in this study, which improved its clinical practicability using web-based tools and is anticipated to be crucial to clinical practice going forward.

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.