Objectives: Osteoporosis is a silent disease with low screening rates in many developing countries. This study aimed to evaluate the feasibility of using an artificial intelligence (AI)-based system to screen osteoporosis from pelvic and hip radiographs in Vietnam. Methods: We conducted a cross-sectional study at a tertiary medical center in Central Vietnam in 2023. A total of 2000 consecutive pelvic and hip radiographs from patients aged ≥ 40 years were collected. After excluding poorquality images, 1987 radiographs were analyzed using an AI-based software designed to estimate bone mineral density (BMD) from plain radiographs and derive T-scores. Osteoporosis was defined as a T-score ≤ − 2.5. Patient characteristics, radiographic findings, and risk factors for osteoporosis were analyzed. Results: Among 1987 patients (mean age 66.4 ± 15.1 years; 41.3% men), osteoporosis was identified in 872 patients (43.9%). The prevalence increased with age and was higher in women than in men (58.7% vs 22.8%, P < 0.001). Osteoporosis was associated with femoral neck (OR = 3.8, 95% CI: 2.7–5.2) and intertrochanteric fractures (OR = 7.0, 95% CI: 4.5–11.0). Patients with lower T-scores had a higher risk of hip fractures, especially those with T-scores ≤ − 3.0 (OR = 11.5, 95% CI: 5.5–24.5). Conclusions AI-based analysis of pelvic and hip radiographs is a feasible and effective tool for osteoporosis screening in Vietnam. The prevalence of osteoporosis in this hospital-based setting was high, particularly among elderly women.AI-assisted screening may offer an accessible strategy for early detection of osteoporosis in resource-limited settings.

Objective To analyze the changes of early ¹⁸F-fluorodeoxyglucose positron emission tomography/computed tomography (¹⁸F-FDG PET-CT) metabolic parameters in patients with diffuse large B-cell lymphoma (DLBCL) before and after chemotherapy, and to systematically evaluate the early predictive efficacy of the above prarmeters for residual lesions. Methods Eighty patients with DLBCL admitted to our hospital from January 2021 to January 2025 were randomly selected as study subjects. All patients received ¹⁸F-FDG PET-CT examination. After 3 months of chemotherapy, patients were assessed according to the Lugano 2014 criteria. Patients without residual lesions were assigned to the complete remission group, while those with residual lesions were assigned to the residual lesion group. Clinical data and ¹⁸F-FDG PET-CT parameters were compared between the two groups. A logistic regression model was used to analyze the relationship between ¹⁸F-FDG PET-CT parameters and residual tumor lesions in DLBCL patients after chemotherapy. The receiver operating characteristic curve was used to analyze the predictive value of early ¹⁸F-FDG PET-CT parameters for residual tumor lesions in patients with DLBCL after chemotherapy. Results Compared with the complete remission group, the residual lesion group had a significantly higher proportion of patients with an international prognostic index score>3, as well as significantly higher maximum standardized uptake value (SUV_max), metabolic tumor volume (MTV), and total lesion glycolysis（TLG）. The early percentage change in the maximum standardized uptake value (ΔSUV_max%) was significantly lower in the residual lesion group (P<0.05). There were no significant differences in age, sex, Ann Arbor stage, serum lactate dehydrogenase elevation, Eastern Cooperative Oncology Group performance status score ≥2, and molecular subtype between the two groups (P>0.05). Logistic regression analysis showed that an international prognostic index score >3 and a high MTV were independent risk factors for residual tumor lesions in DLBCL patients after chemotherapy, while a high ΔSUVmax% was a protective factor (P<0.05). Receiver operating characteristic curve analysis showed that the area under the curve for ΔSUV_max% and MTV alone in predicting residual tumor lesions after chemotherapy for DLBCL was 0.918 (95%CI=0.848-0.989) and 0.926 (95%CI=0.866-0.985), with cutoff values of 75.16% and 13.58 cm³, respectively. The combined prediction using both parameters yielded an area under the curve of 0.960 (95%CI=0.891-0.991), with a sensitivity of 91.38% and a specificity of 95.45%. Conclusion The early ¹⁸F-FDG PET-CT parameters ΔSUV_max% and MTV demonstrate high predictive value for residual tumor lesions in DLBCL patients after chemotherapy. Their combined use has improved predictive efficacy, which can provide a reference for clinical evaluation of chemotherapy efficacy in DLBCL.

Objective:To investigate the epidemiological characteristics of hemorrhagic fever with renal syndrome (HFRS) in Weinan City, Shaanxi Province, and study the predictive effect of the seasonal autoregressive integrated moving average (SARIMA) model.Methods:Relevant information on HFRS cases reported by the China Disease Prevention and Control Information System from January 2010 to August 2024 in Weinan City, as well as the epidemiological investigation data on clinical diagnosis and confirmed HFRS cases in Weinan City were collected. Epidemiological characteristics of HFRS were analyzed by descriptive epidemiological methods. At the same time, a SARIMA model was constructed based on the monthly incidence of HFRS from 2010 to 2023, the incidence of HFRS from January to August 2024 was used to test the simulation prediction effect, and the optimal model was used to predict the incidence of HFRS from September to December 2024.Results:A total of 4 373 HFRS cases were reported in Weinan City from 2010 to 2023, with an average annual incidence of 6.39/100 000. The incidence rate showed a cyclical fluctuation trend, reaching two peaks in 2012 (10.25/100 000) and 2021 (12.26/100 000), respectively. The incidence of HFRS presented a seasonal bimodal distribution, with the peak predominantly in autumn and winter (from October to January of the following year), accounting for 67.83% (2 966/4 373), and the peak in spring and summer (form May to July) accounting for 17.27% (755/4 373). HFRS cases were reported in all counties (cities and districts) of Weinan City, and the top 3 annual incidence rates were Huazhou District (17.84/100 000), Linwei District (16.10/100 000) and Huayin City (9.15/100 000). The age of onset was mainly concentrated in the age group of 15 - 59 years old, accounting for 68.31% (2 987/4 373). The male to female ratio was 2.96∶1.00 (3 268∶1 105). The main occupation was farmers, accounting for 82.07% (3 589/4 373). SARIMA (1, 0, 1) (2, 1, 1) 12 model was the optimal model for short-term prediction of HFRS incidence rate in Weinan City, and the residual difference was listed as white noise ( Q = 7.45, P = 0.878), the model could be used for disease prediction. The model was used to predict the incidence of HFRS from September to December 2024, and the predicted values of each month were 0.17/100 000, 0.59/100 000, 1.85/100 000 and 1.61/100 000, respectively. Conclusions:The epidemic range of HFRS in Weinan City is wide, and the incidence has obvious seasonality. The population are mainly males, young and middle-aged adults and farmers. The SARIMA (1, 0, 1) (2, 1, 1) 12 model constructed can be used for predicting the short-term incidence trend of HFRS in Weinan City.

Objective To analyze the factors influencing iodine nutritional status in pregnant women dur-ing pregnancy,based on thyroid function and thyroid autoantibody levels,and to explore the association between iodine nutritional abnormalities and pregnancy outcomes.Methods A total of 838 pregnant women who underwent routine prenatal checkups at Qinghai Provincial People's Hospital between January 2021 and June 2023 were pro-spectively enrolled in this study.All participants were followed until delivery.Seven cases were lost to follow-up,resulting in a final sample size of 831 participants.Among them,276 were in the first trimester,384 in the second trimester,and 171 in the third trimester.Data on urinary iodine concentration(UIC),urinary creatinine(UCr),thyroid function indicators,and thyroid autoantibodies were collected.Based on their iodine nutritional status,the participants were categorized into either the iodine-sufficient group or the iodine-abnormal group(including iodine-deficient,iodine-hyper-sufficient,and iodine-excessive subgroups).This study analyzed the iodine nutritional sta-tus of pregnant women during different gestational periods,compared thyroid function indices,prevalence of thy-roid diseases,and the positivity rates of thyroid peroxidase antibody(TPOAb),thyroglobulin antibody(TGAb),and thyroid-stimulating hormone receptor antibody(TRAb)among different iodine status groups.Additionally,ad-verse pregnancy outcomes were compared across groups.Multivariate logistic regression analysis was conducted to identify risk factors associated with iodine abnormalities during pregnancy,and a predictive model was developed to assess its potential predictive value.Results Among the 831 pregnant women included in the study,373 cases(44.89％)exhibited iodine sufficiency,while 458 cases(55.11％)presented with iodine abnormalities,including 282 cases of iodine deficiency,144 cases of iodine hypersufficiency,and 32 cases of iodine excess.No statistically significant differences were observed in the iodine nutritional status across different trimesters(P>0.05).The se-rum level of thyroid-stimulating hormone(TSH)was significantly higher in the iodine abnormal group compared to the iodine sufficient group(P<0.05).Additionally,the iodine abnormal group demonstrated higher positivity rates of TPOAb alone,TGAb,and TRAb,as well as increased incidence of thyroid dysfunction and total adverse pregnancy outcomes compared to the iodine sufficient group(all P<0.05).These adverse indicators were also sig-nificantly elevated in the iodine-deficient,iodine super-sufficient,and iodine overdose subgroups compared to the iodine sufficient group(P<0.05).Elevated serum TSH levels and the presence of TPOAb,TGAb,and TRAb were identified as risk factors for iodine abnormalities during pregnancy(P<0.05).The predictive model con-structed for identifying iodine abnormalities in pregnant women demonstrated an area under the curve(AUC)of 0.876,with a sensitivity of 72.27％and a specificity of 89.01％.Conclusions The prevalence of iodine nutritional abnormalities among pregnant women during pregnancy was high,with most cases presenting iodine deficiency.These abnormalities were associated with thyroid function,thyroid autoimmunity,and pregnancy outcomes,but showed no significant correlation with gestational age.Furthermore,the prediction model developed based on iden-tified risk factors demonstrated effective performance in predicting iodine nutritional abnormalities during preg-nancy.

Objective:To investigate the epidemiological characteristics of hemorrhagic fever with renal syndrome (HFRS) in Weinan City, Shaanxi Province, and study the predictive effect of the seasonal autoregressive integrated moving average (SARIMA) model.Methods:Relevant information on HFRS cases reported by the China Disease Prevention and Control Information System from January 2010 to August 2024 in Weinan City, as well as the epidemiological investigation data on clinical diagnosis and confirmed HFRS cases in Weinan City were collected. Epidemiological characteristics of HFRS were analyzed by descriptive epidemiological methods. At the same time, a SARIMA model was constructed based on the monthly incidence of HFRS from 2010 to 2023, the incidence of HFRS from January to August 2024 was used to test the simulation prediction effect, and the optimal model was used to predict the incidence of HFRS from September to December 2024.Results:A total of 4 373 HFRS cases were reported in Weinan City from 2010 to 2023, with an average annual incidence of 6.39/100 000. The incidence rate showed a cyclical fluctuation trend, reaching two peaks in 2012 (10.25/100 000) and 2021 (12.26/100 000), respectively. The incidence of HFRS presented a seasonal bimodal distribution, with the peak predominantly in autumn and winter (from October to January of the following year), accounting for 67.83% (2 966/4 373), and the peak in spring and summer (form May to July) accounting for 17.27% (755/4 373). HFRS cases were reported in all counties (cities and districts) of Weinan City, and the top 3 annual incidence rates were Huazhou District (17.84/100 000), Linwei District (16.10/100 000) and Huayin City (9.15/100 000). The age of onset was mainly concentrated in the age group of 15 - 59 years old, accounting for 68.31% (2 987/4 373). The male to female ratio was 2.96∶1.00 (3 268∶1 105). The main occupation was farmers, accounting for 82.07% (3 589/4 373). SARIMA (1, 0, 1) (2, 1, 1) 12 model was the optimal model for short-term prediction of HFRS incidence rate in Weinan City, and the residual difference was listed as white noise ( Q = 7.45, P = 0.878), the model could be used for disease prediction. The model was used to predict the incidence of HFRS from September to December 2024, and the predicted values of each month were 0.17/100 000, 0.59/100 000, 1.85/100 000 and 1.61/100 000, respectively. Conclusions:The epidemic range of HFRS in Weinan City is wide, and the incidence has obvious seasonality. The population are mainly males, young and middle-aged adults and farmers. The SARIMA (1, 0, 1) (2, 1, 1) 12 model constructed can be used for predicting the short-term incidence trend of HFRS in Weinan City.

Objective:To evaluate the diagnostic efficacy of artificial intelligence-assisted cytology in detecting esophageal cancer and precancerous lesions.Methods:Outpatients who were scheduled for endoscopic examination at the Second Affiliated Hospital of Baotou Medical College from June 21, 2021 to May 12, 2022 were selected. Artificial intelligence-assisted cytology and painless gastroscopy (add narrow-band imaging and biopsy pathology when need) (hereinafter referred to as gastroscopy) were performed. The detection rates of esophageal cancer and precancerous lesions by the two methods were compared. Taking gastroscopy as the standard, sensitivity, specificity, positive predictive value, negative predictive value of artificial intelligence-assisted cytology diagnosis were calculated to verify its diagnostic efficacy.Results:A total of 849 patients meeting the inclusion criteria were included. Artificial intelligence-assisted cytology detected 365 cases of esophageal lesions, with a detection rate of 42.99%. One hundred cases of esophageal cancer, precancerous lesions, and atypical squamous cell hyperplasia were detected, with a detection rate of 11.78%. Gastroscopy detected 281 cases of esophageal lesions, with a detection rate of 33.10%. Eighty cases of esophageal cancer and precancerous lesion were detected, with a detection rate of 9.42%. The sensitivity and specificity of artificial intelligence-assisted cytology diagnosis were 81.25% (65/80) and 95.45% (734/769), respectively. The positive predictive value was 65.00% (65/100), and the negative predictive value was 98.00% (734/749). The area under the receiver operating characteristic curve of artificial intelligence-assisted cytology in dectecting esophageal cancer and precancerous lesions was 0.785.Conclusion:Artificial intelligence-assisted cytology demonstrates relatively high sensitivity and specificity in diagnosing esophageal cancer and precancerous lesions, exhibiting good diagnostic performance for esophageal lesions.

Objective:To explore the prognostic differences between liver resection and transarterial chemoembolization (TACE) in patients with Budd-Chiari syndrome (BCS) complicated by hepatocellular carcinoma (HCC) and to identify independent risk factors affecting patient survival.Methods:The clinical and follow-up data of 103 patients with stage Ⅰa-Ⅲa BCS complicated by HCC treated at the First Affiliated Hospital of Zhengzhou University from Aug 2015 to Sep 2023 were retrospectively analyzed.Results:Patients were divided into two groups based on their initial treatment choices: the liver resection group ( n=20) and the TACE group ( n=83). Before propensity score matching(PSM), the median overall survival in the liver resection group was 42 months longer than in the TACE group (74 months vs. 32 months, P=0.002). After PSM, the median overall survival remained significantly longer in the liver resection group by 39 months (74 months vs. 35 months, P=0.032). In terms of disease-free survival, before PSM, the liver resection group was 30-month longer than the TACE group (42 months vs. 12 months, P=0.001). After PSM, the difference in median disease-free survival between the two groups was 23 months (35 months vs. 12 months, P=0.018). Multivariate Cox regression analysis identified treatment modality and maximum tumor diameter as independent risk factors for overall survival, while treatment modality was the only independent factor for disease-free survival. Conclusions:Liver resection significantly prolongs both overall survival and disease-free survival in resectable HCC in BCS patients compared to TACE. Treatment modality and tumor size are key prognostic factors influencing overall survival.

Objective:To explore the prognostic value of assessing plasma thrombin-antithrombin complex (TAT) and D-dimer (D-D) in patients with acute ischemic stroke (AIS).Methods:This prospective cohort study enrolled 538 AIS patients admitted to the General Hospital of Tianjin Medical University from July 2021 to May 2024, including 306 males and 232 females, with an average age of (69.5±11.5) years. Among them, there were 147 cases of lacunar infarction, 166 cases of large artery atherosclerosis type, 122 cases of cardioembolic type, and 103 cases of cancer-related type. Follow-up observations were conducted on enrolled patients, data within 30 days after the initiation of acute phase treatment for one week were collected, thrombus-related cerebral ischemic events recurrence served as the endpoint event, starting from August 5, 2021, to June 19, 2024. During the follow-up period, 68 patients experienced endpoint events, including 14 cases of large artery atherosclerosis type, 23 cases of cardioembolic type, and 31 cases of cancer-related type. The plasma levels of TAT and D-D were determined by chemiluminescence method and enzyme-linked immunofluorescence assay respectively. The receiver operating characteristic (ROC) curve was used to analyze the prediction performance of TAT and D-dimer for recurrent ischemic events in AIS patients during the 30-day follow-up period, and the Kaplan-Meier curve was used for survival analysis.Results:Statistically differences were observed in the plasma TAT and D-D levels among patients with different types of AIS ( P<0.05), with cancer-related type had higher levels than cardioembolic type ( P<0.05), and cardioembolic type had higher levels than large artery atherosclerosis type ( P<0.05). In the non-recurrent ischemic event group, the plasma TAT and D-D levels of patients with large artery atherosclerosis type, cardioembolic type and cancer-related type were lower in post-treatment than pre-treatment ( P<0.05). In the recurrent ischemic event group, the plasma D-D levels were higher in post-treatment than pre-treatment in the patients with large artery atherosclerosis type ( P<0.05); there was no statistically difference between the post-treatment and pre-treatment in plasma TAT and D-D levels in patients with cardioembolic type ( P>0.05); in patients with cancer-related type, the TAT and D-D levels were lower in post-treatment than pre-treatment ( P<0.05), but higher than those in the non-recurrence group ( P<0.05). The ROC curve showed that the area under the curve for predicting the risk of ischemic event recurrence within 30 days in AIS patients by plasma TAT combined with D-D on day 7 after treatment was all >0.9 (0.950 for large artery atherosclerosis type, 0.965 for cardioembolic type, and 0.907 for cancer-related types). Survival analysis indicated that various patients with both indicators above the critical value had an increased cumulative risk probability of adverse events (log-rank χ 2=93.667, 109.266, and 58.433, respectively, with all P<0.001). Conclusion:The changes of plasma TAT and D-D levels in AIS patients are associated with stroke type and coagulation activation, and dynamic monitoring of these two indicators could help evaluate the treatment effect and predict the risk of recurrent ischemic events.

Heparin-induced thrombocytopenia(HIT)is an antibody-mediated adverse reaction to heparin that is clinically manifested as a progressive reduction in platelet count after heparin administration,leading to venous and/or arterial thromboembolism and even death in severe cases.Acquired thrombocytopenia is commonly observed in hospitalized patients,the pathological mechanism is associated with drugs,autoimmune diseases,and consumptive thrombocytopenia.Patients with HIT frequently have complex clinical situations,and their manifestations are often atypical or mixed with other symptoms and signs,posing significant challenges to diagnosis and treatment for clinicians.Through the multidisciplinary diagnosis and treatment process of a HIT patient,this paper discusses HIT occurrence mechanism,clinical evaluation,laboratory testing and alternative anticoagulant therapy,so as to provide reference for doctors to accurately identify and effectively intervention in clinical practice.

Objective:To investigate the factors influencing early recurrence for patients with initially unresectable hepatocellular carcinoma (HCC) who underwent salvage liver resection (SLR) following transcatheter arterial chemoembolization-based downstaging treatment, and construct a predictive model to evaluate its predicting performance.Methods:The retrospective cohort study was constructed. The clinicopathological data of 305 patients with initially unresectable HCC who were admitted to 4 medical centers in China, including the Third Affiliated Hospital of Naval Medical University (Shanghai Eastern Hepatobiliary Surgery Hospital) et al, from January 2019 to December 2021 were collected. There were 286 males and 19 females, aged (48.7±10.4)years. A total of 133 patients who were admitted from January 2019 to December 2020 were set as the training cohort, and the other 172 patients who were admitted from January to December 2021 were set as the validation cohort. Observation indicators: (1) postoperative recurrence-free survival in HCC patients; (2) analysis of factors influencing postoperative early recurrence in HCC patients; (3) construction and validation of the predictive model. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the rank sum test. Univariate and multivariate analyses were conducted using the Cox regre-ssion model. The Kaplan-Meier method was used to calculate survival. The Log-rank test was used for survival analysis. The predicting performance of the model was evaluated using the concordance index (C-index) and the area under curve (AUC) of time-dependent receiver operating characteristic (ROC) curve, and the accuracy of the model was validated using the calibration curve. The total net gain of the model was evaluated using the decision curve. Results:(1) Postoperative recurrence-free survival in HCC patients. The recurrence-free survival time of 133 HCC patients in the training cohort was 10.0(range, 1.5-24.0)months, with 1-, 2-year recurrence-free survival rate of 47.3% and 36.8%. The recurrence-free survival time of 172 HCC patients in the validation cohort was 11.0(range, 1.0-24.0)months, with 1-, 2-year recurrence-free survival rate of 51.7% and 37.2%. There was no significant difference in recurrence-free survival between patients in the training cohort and the validation cohort ( χ2=0.075, P>0.05). (2) Analysis of factors influencing postoperative early recur-rence in HCC patients. Results of multivariate analysis showed that tumor burden prior to down-staging treatment, grade of albumin-bilirubin (ALBI) score prior to SLR, alpha-fetoprotein (AFP) half-life prior to SLR, and tumor response prior to SLR were independent factors influencing early recurrence in HCC patients after surgery [ hazard ratio=3.212, 2.526, 2.304, 1.575, 95% confidence interal ( CI) as 1.262-8.175, 1.324-4.818, 1.477-3.595, 1.138-2.180, P<0.05]. (3) Construction and validation of the predictive model. A nomogram predictive model for postoperative early recurrence was constructed base on the results of multivariate analysis. The C-index of predictive model was 0.786 for the training cohort and 0.734 for the validation cohort. The AUC of ROC curve of nomogram predictive model for 12-, 18-, and 24-month recurrence-free survival rate in the training cohort were 0.890 (95% CI as 0.836-0.944), 0.895 (95% CI as 0.842-0.947), and 0.887 (95% CI as 0.831-0.942), respectively. The AUC of ROC curve of nomogram predictive model for 12-, 18-, and 24-month recurrence-free survival rate in the validation cohort were 0.845 (95% CI as 0.781-0.909], 0.888 (95% CI as 0.826-0.950), and 0.919 (95% CI as 0.870-0.968), respectively. Results of calibration curve showed high consistency between the predicted results of nomogram predictive model and actual outcomes. Results of decision curve showed the nomogram predictive model with a good total net gain at a threshold of 0.10-0.50. Conclusions:Tumor burden prior to downstaging treatment, grade of ALBI score prior to SLR, AFP half-life prior to SLR, and tumor response prior to SLR are independent factors influencing early recurrence in initially unresectable HCC patients undergoing SLR following downstaging treatment. The nomogram predictive model based on these factors can effectively evaluate the prognosis of this patient population.