1.Clinical and epidemiological characteristics of human bocavirus in hospitalized children with acute lower respiratory tract infection at a hospital in Shanghai from 2021 to 2023
Shan ZHANG ; Yujuan HUANG ; Lei SHEN ; Li LIU ; Jie WANG ; Huilin ZHOU ; Leijun MENG ; Tingting CHEN
Shanghai Journal of Preventive Medicine 2026;38(3):193-198
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.
2.Huanglian Jiedutang Improves Cognitive Impairment after Schemic Stroke by Regulating Neuron via NF-κB Signaling Pathway
Mengying SUN ; Lizhen WANG ; Tong LI ; Leilei WANG ; Shiyan JIA ; Tingting WANG ; Yanwen YANG ; Kaiqiang SI ; Youxiang CUI ; Zhilong LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(11):68-76
ObjectiveTo investigate the effects of Huanglian Jiedutang (HLJDT) on cognitive function in mice with ischemic stroke (IS) and to elucidate whether its neuroprotective effects are mediated by inhibition of the nuclear factor-κB (NF-κB) signaling pathway and subsequent suppression of NF-κB-regulated neuronal apoptosis. MethodsAn IS model was established using middle cerebral artery occlusion (MCAO). Sixty C57BL/6J mice were randomly assigned to five groups (n =12 per group), i.e., sham operation, model, HLJDT low-dose (3.9 g·kg-1·d-1), HLJDT high-dose (7.8 g·kg-1·d-1), and Ginkgo biloba extract (GBE, 31.2 mg·kg-1·d-1). Post-operatively, neurological deficit scores (Longa score), cerebral infarct volume assessed by 2,3,5-triphenyltetrazolium chloride (TTC) staining, and brain water content were evaluated. Learning and memory were assessed using new object recognition (NOR) and fear conditioning (FC) tests. Hippocampal pathology was examined via hematoxylin and eosin (HE) staining. Immunofluorescence detected expression of glial fibrillary acidic protein (GFAP, astrocyte marker), cellular oncogene Fos (c-Fos, neuronal activation marker), and glutamate decarboxylase 65 (GAD65). Western blot measured nuclear factor-κB inhibitor protein α (IκBα), phosphorylated IκBα (p-IκBα), NF-κB p65, phosphorylated NF-κB p65 (p-NF-κB p65), ionic calcium binding adapter molecule 1 (Iba-1), tumor necrosis factor (TNF)-α, interleukin (IL)-1β, and apoptosis-related proteins, such as cleaved cysteinyl aspartate-specific protease 3 (Caspase-3), B-cell lymphoma 2 (Bcl-2), and Bcl-2-associated X protein (Bax). Real-time quantitative PCR (Real-time PCR) was used to assess mRNA levels of Iba-1, TNF-α, IL-1β, NF-κB p65, cleaved Caspase-3, Bax, and Bcl-2. ResultsCompared with the sham group, the model group exhibited significantly increased neurological deficit scores, brain water content, and cerebral infarct volume (P<0.01). Hippocampal CA1 neurons were disorganized, showing nuclear pyknosis and karyolysis. NOR exploration time and FC freezing time were significantly reduced (P<0.01). GFAP and c-Fos expression were increased, while GAD65 expression was decreased (P<0.01). Cleaved Caspase-3 and Bax were upregulated, Bcl-2 was downregulated, and the Bax/Bcl-2 ratio was elevated (P<0.01). Expression levels of p-IκBα, p-NF-κB p65, IL-1β, TNF-α, and Iba-1 were significantly increased (P<0.01). Compared with the model group, HLJDT high-dose, low-dose, and GBE groups showed significant improvements in all parameters (P<0.01). Among them, the HLJDT high-dose group showed the most pronounced neuronal structural recovery and superior performance in NOR and FC tests (P<0.01). In this group, GFAP and c-Fos decreased, GAD65 increased (P<0.01), apoptosis-related protein expression was reversed, and NF-κB signaling and related inflammatory factor expression were suppressed (P<0.01). ConclusionHLJDT ameliorates cognitive dysfunction in mice after IS, potentially by inhibiting the NF-κB signaling pathway, thereby reducing neuroinflammation and hippocampal neuronal apoptosis.
3.Development and evaluation of classification system for drug-related problems in China
Shuang ZOU ; Tingting LU ; Lei BAO ; Yun LIAO ; Ling LI ; Ping ZHANG
China Pharmacy 2026;37(3):371-376
OBJECTIVE To establish a Chinese drug-related problem (DRP) classification system applicable to pharmacist-led pharmaceutical care in China, providing pharmacists with an effective and practical tool for pharmaceutical care. METHODS A multi-stage process was employed to construct the DRP classification system, including literature review and analysis, comparison of existing classification systems, refinement of classification items and framework development, two rounds of standard case validation, expert discussion, and system revision. The Fleiss′ kappa test was used to calculate the consistency coefficient κ, assessing the reliability of pharmacists participating in evaluating the classification system. An electronic questionnaire comprising six items was employed to evaluate the system’s applicability. RESULTS The constructed Chinese DRP classification system comprised six sections [problem(including potential problems), DRP evaluation, cause (including possible causes of potential problems), intervention, acceptance of intervention and DRP status], with 24 primary codes and 96 secondary codes. In the first round of case validation, κ values exceeded 0.4 for all sections except “intervention” and “DRP status”. In the second round, κ values exceeded 0.4 for all sections. In the applicability evaluation of the classification system, positive ratings (“strongly agree” or “agree”) exceeded 85% for all items. Specifically, positive ratings for“the classification system can provide appropriate category selection”,“ the classification system is comprehensive”,“ the classification system is convenient to use” and “the classification system is highly satisfactory” exceeded 92%. CONCLUSIONS The Chinese DRP classification system developed demonstrates both high reliability and applicability, providing an effective and practical classification tool for pharmacists in China to conduct pharmaceutical care.
4.Trends in the disease burden of falls among Chinese children and adolescents from 1990 to 2021
Shihong GUO ; Zhixiao LI ; Lihua HUANG ; Yuanfang SHI ; Na PAN ; Tingting MENG ; Leping FENG ; Cun GUO
Shanghai Journal of Preventive Medicine 2026;38(8):581-585
ObjectiveTo investigate the trends in the disease burden of falls among Chinese children and adolescents from 1990 to 2021, and to inform the development of targeted prevention and control strategies
5.Association of different blood lipid components with the severity of hepatic steatosis in metabolic dysfunction-associated fatty liver disease
Jinjin LIU ; Xinyu ZHAO ; Yibin CHEN ; Dong XU ; Tingting XIAO ; Ying WANG ; Yuqing ZHAO ; Zhengzhao LU ; Cheng HUANG ; Xiaofei TONG ; Hong YOU ; Jingjie ZHAO
Journal of Clinical Hepatology 2026;42(9):2059-2066
ObjectiveTo clarify the independent and synergistic effects of dyslipidemia in the progression of hepatic steatosis in metabolic dysfunction-associated fatty liver disease (MAFLD). MethodsA total of 7 697 participants who underwent physical examination in Beijing Friendship Hospital, Capital Medical University, from January 2022 to December 2024 were enrolled, and finally 2 177 patients with MAFLD were enrolled as subjects. Transient elastography was used to quantify the severity of hepatic steatosis (grades S1-S3). The multivariable ordinal Logistic regression analysis was used to investigate the independent and synergistic associations of serum triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) with the severity of hepatic steatosis, and their interactions and potential nonlinear relationships with metabolic factors were also examined. One-way analysis of variance or Kruskal-Wallis H test was used for comparison of continuous data between groups, and chi-square test was used for comparison of categorical data between groups. ResultsAn increase in TG (odds ratio [OR]=1.77, 95% confidence interval [CI]: 1.48 — 2.10, P<0.001) and a reduction in HDL-C (OR=1.35, 95%CI: 1.11 — 1.65, P=0.003) were independently associated with a greater severity of hepatic steatosis, with the strongest association when both abnormalities coexisted (OR=2.40, 95%CI: 1.87 — 3.07, P<0.001). The dose-response relationship analysis further revealed a nonlinear threshold effect of TG on hepatic steatosis at the threshold of 1.51 mmol/L (Pnonlinearity=0.001), below which the severity of steatosis increased more rapidly with the increase in TG concentration (P=0.001). The subgroup analysis showed that the association between the reduction in HDL-C and the severity of steatosis was observed only in males, young adults (aged <45 years), and metabolically healthier subgroups (without diabetes, obesity, hyperuricemia or hypertension). Significant interactions were observed between the presence or absence of obesity and the abnormal levels of TG and HDL‑C (both Pinteraction<0.05). The association of the increase in LDL-C with steatosis was confined to specific subgroups (without obesity or hyperuricemia). ConclusionThe increase in TG and the reduction in HDL-C are independently associated with the severity of hepatic steatosis in MAFLD. The synergistic effect of blood lipids and their interactions with metabolic factors may further refine risk stratification, so as to provide a basis for precise management of MAFLD.
6.New insights into translational research in Alzheimer's disease guided by artificial intelligence, computational and systems biology.
Shulan JIANG ; Zixi TIAN ; Yuchen YANG ; Xiang LI ; Feiyan ZHOU ; Jianhua CHENG ; Jihui LYU ; Tingting GAO ; Ping ZHANG ; Hongbin HAN ; Zhiqian TONG
Acta Pharmaceutica Sinica B 2025;15(10):5099-5126
Alzheimer's disease (AD) is characterized by cognitive and functional deterioration, with pathological features such as amyloid-beta (Aβ) aggregates in the extracellular spaces of parenchymal neurons and intracellular neurofibrillary tangles formed by the hyperphosphorylation of tau protein. Despite a thorough investigation, current treatments targeting the reduction of Aβ production, promotion of its clearance, and inhibition of tau protein phosphorylation and aggregation have not met clinical expectations, posing a substantial obstacle in the development of drugs for AD. Recently, artificial intelligence (AI), computational biology (CB), and systems biology (SB) have emerged as promising methodologies in AD research. Their capacity to analyze extensive and varied datasets facilitates the identification of intricate patterns, thereby enriching our comprehension of AD pathology. This paper provides a comprehensive examination of the utilization of AI, CB, and SB in the diagnosis of AD, including the use of imaging omics for early detection, drug discovery methods such as lecanemab, and complementary therapies like phototherapy. This review offers novel perspectives and potential avenues for further research in the realm of translational AD studies.
7.Accurate Machine Learning-based Monitoring of Anesthesia Depth with EEG Recording.
Zhiyi TU ; Yuehan ZHANG ; Xueyang LV ; Yanyan WANG ; Tingting ZHANG ; Juan WANG ; Xinren YU ; Pei CHEN ; Suocheng PANG ; Shengtian LI ; Xiongjie YU ; Xuan ZHAO
Neuroscience Bulletin 2025;41(3):449-460
General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments. Traditional assessment methods, relying on physiological indicators or behavioral responses, fall short of accurately capturing the nuanced states of unconsciousness. This study introduces a machine learning-based approach to decode anesthesia depth, leveraging EEG data across different anesthesia states induced by propofol and esketamine in rats. Our findings demonstrate the model's robust predictive accuracy, underscored by a novel intra-subject dataset partitioning and a 5-fold cross-validation method. The research diverges from conventional monitoring by utilizing anesthetic infusion rates as objective indicators of anesthesia states, highlighting distinct EEG patterns and enhancing prediction accuracy. Moreover, the model's ability to generalize across individuals suggests its potential for broad clinical application, distinguishing between anesthetic agents and their depths. Despite relying on rat EEG data, which poses questions about real-world applicability, our approach marks a significant advance in anesthesia monitoring.
Animals
;
Machine Learning
;
Electroencephalography/methods*
;
Ketamine/administration & dosage*
;
Rats
;
Male
;
Propofol/administration & dosage*
;
Rats, Sprague-Dawley
;
Anesthesia, General/methods*
;
Brain/physiology*
;
Intraoperative Neurophysiological Monitoring/methods*
8.Research progress on the mechanism of traditional Chinese medicine monomers acting on myelosuppression after chemotherapy based on the four properties theory
Sihan ZHANG ; Tingting WANG ; Zhifen ZHAO ; Hanyu KANG ; Jiaqi JI ; Ziqiang GUO ; Tong LIU ; Shiqing JIANG
China Pharmacy 2025;36(18):2341-2347
Chemotherapy is an important treatment for tumors, but most patients experience varying degrees of chemotherapy- induced myelosuppression. Four properties theory of traditional Chinese medicine (TCM) has unique advantages in improving chemotherapy-induced myelosuppression. The monomers from TCM with different properties and flavors, such as cold-natured (e.g. Scutellaria baicalensis, Rhus chinensis), cool-natured (e.g. Ligustrum lucidum, Ophiopogon japonicus), warm-natured (e.g. Panax ginseng, Epimedium brevicornu, Curcuma longa, Angelica sinensis), hot-natured (e.g. Cinnamomum cassia, Aconitum carmichaeli), and neutral-natured (e. g. donkey-hide gelatin, Lycium barbarum, Rhodiola rosea, fungi), can exert anti- myelosuppressive effects by reducing damage to hematopoietic stem/progenitor cells, improving the bone marrow hematopoietic microenvironment, inhibiting the oxidative stress response, regulating signaling pathways, so as to ultimately repaire inflammatory damage and improve hematopoietic function, thereby playing an anti-myelosuppressive role.
9.Effect of moxibustion on small intestinal mucosal immune barrier in rats with diarrhea-predominant irritable bowel syndrome.
Kuiwu LI ; Haoran CHU ; Ling ZOU ; Jingru RUAN ; Lumin LIAO ; Xiaoyu HAN ; Wenli MA ; Ming FANG ; Jingwei ZHU ; Yucheng FANG ; Ziye WANG ; Tingting TONG
Chinese Acupuncture & Moxibustion 2025;45(7):935-944
OBJECTIVE:
To observe the effect of moxibustion on small intestinal mucosal immune barrier in rats with diarrhea-predominant irritable bowel syndrome (IBS-D) and explore its underlying mechanisms.
METHODS:
Of 38 newborn rats from 4 healthy SPF pregnant rats, 12 neonatal rats were randomly selected in a normal group. IBS-D model was prepared by the combined measures for the rest rats, including neonatal maternal separation, acetic acid enema and chronic restraint stress. Twenty-four successfully-modeled rats were randomized into a model group and a moxibustion group, 12 rats in each one. In the moxibustion group, suspending moxibustion was delivered at bilateral "Tianshu" (ST25) and "Shangjuxu" (ST37), 20 min each time, once daily and for 7 consecutive days. Separately, before acetic acid enema (aged 35 days), after modeling (aged 45 days) and after intervention (aged 53 days), the body mass, loose stool rate (LSR) and and the minimum volume threshold when abdominal withdrawal reflex (AWR) scored 3 were observed in the rats of each group. After intervention (aged 53 days), using HE and PAS staining, the morphology of duodenum was observed, the length of villus and the depth of crypt were measured, the ratio of the length of villus to the depth of crypt was calculated; and the numbers of mucosal intraepithelial lymphocytes (IELs) and goblet cells were counted. With ELISA adopted, the contents of γ-interferon (IFN-γ), interleukin-4 (IL-4) and secretory immunoglobulin A (sIgA) in duodenal mucosa of rats were detected. The proportion of T cell subsets in duodenal mucosa was detected using flow cytometry. The microvilli and tight junctions of duodenal mucosal epithelial cells were observed by transmission electron microscopy, and the integrity of duodenal mucosa observed by scanning electron microscopy.
RESULTS:
Compared with the normal group, for the rats in the model group, the body mass, the minimum volume threshold when AWR scored 3, the length of duodenal villus and the the ratio of the length of villus to the depth of crypt, as well as the proportion of CD8+ T subset were all reduced (P<0.01, P<0.05), the counts of goblet cells in duodenal mucosa decreased (P<0.01); LRS, the proportion of CD4+ T subset and CD4+/CD8+, as well as the contents of IFN-γ, IL-4 and sIgA in duodenal mucosa and IFN-γ/IL-4 were all elevated (P<0.01); and the numbers of IELs rose (P<0.01). The morphology of duodenal mucosa was irregular, the villi got shorter, sparse and scattered, with uneven density. The morphology of epithelial cells was destroyed and the tight junctions damaged, with larger spaces. When compared with the model group, in the moxibustion group, the body mass, the minimum volume threshold when AWR scored 3, the length of duodenal villus and the ratio of the length of villus to the depth of crypt, as well as the counts of goblet cells in duodenal mucosa increased (P<0.01); LRS, the proportion of CD4+ T subset, and CD4+/CD8+, as well as the contents of IFN-γ, IL-4 and sIgA in duodenal mucosa and IFN-γ/IL-4 were reduced (P<0.01); and the numbers of IELs was dropped (P<0.01). The morphology of duodenal mucosa was more regular, the villi were grew, got longer and arranged regularly, with even density. The morphology of epithelial cells was slightly destroyed, and the tight junctions partially damaged.
CONCLUSION
Moxibustion at "Tianshu" (ST25) and "Shangjuxu" (ST37) can reduce visceral hypersensitivity in IBS-D rats and relieve abdominal pain, diarrhea and other symptoms. Its effect mechanism may be related to the repair of small intestinal mucosal immune barrier and the improvement in the immune function in IBS-D.
Animals
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Irritable Bowel Syndrome/immunology*
;
Rats
;
Moxibustion
;
Intestinal Mucosa/immunology*
;
Female
;
Diarrhea/therapy*
;
Intestine, Small/immunology*
;
Male
;
Humans
;
Rats, Sprague-Dawley
;
Disease Models, Animal
10.Construction and effectiveness assessment of a Harvard cancer index-based predictive model for perioperative venous thromboembolism in elderly patients with femoral neck fracture
Yifeng GUO ; Bingdu TONG ; Xin GUO ; Tingting GUO ; Yuchen MA ; Na GAO ; Xuan WANG ; Weinan LIU ; Xiaopeng HUO ; Yaping CHEN
Chinese Journal of Trauma 2025;41(5):501-509
Objective:To construct a Harvard cancer index-based risk predictive model for perioperative venous thromboembolism (VTE) in elderly patients with femoral neck fracture and assess its predictive effectiveness.Methods:A retrospective cohort study was conducted to analyze the clinical data of 610 elderly patients with femoral neck fracture admitted to Peking Union Medical College Hospital between January 2013 and December 2022, including 193 males and 417 females, aged 60-99 years [(77.3±9.0)years]. The patients were divided into VTE group ( n=125) and non-VTE group ( n=485) according to occurrence of VTE during the perioperative period. The two groups were compared in terms of gender, age, body mass index, smoking status, alcohol consumption, time from fracture to admission, surgical waiting time, comorbidities, perioperative electrolyte disorders, past or present history of malignancy, past history of deep vein thrombosis (DVT) or pulmonary embolism (PE), and preoperative use of oral anticoagulants. Univariate analysis and multivariable stepwise Logistic regression analysis were conducted to evaluate and identify independent risk factors for perioperative VTE in elderly patients with femoral neck fracture. A perioperative VTE risk predictive model for elderly patients with femoral neck fracture was constructed using the Harvard cancer index: (1) assigning a risk score to each variable according to the corresponding conversion criteria of the Harvard cancer index and risk score, based on the magnitude of their ORs; (2) determining the exposure rate of each risk factor based on the population distribution observed in this study; (3) calculating the average population risk score; (4) computing the individual VTE risk score; (5) deriving the ratio (X) of each individual ′s VTE risk score to the population average. Based on the Harvard cancer index classification criteria for disease risk levels, individual VTE risk categories were determined. The predictive performance of the risk stratification was evaluated by comparing the incidence of VTE across different risk levels. The predictive performance of the model was evaluated based on sensitivity, specificity, and the area under the receiver operating characteristic (ROC) curve (AUC). The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) test and internal validation was performed using the bootstrap resampling method with 1000 iterations. Results:Univariate analysis showed that gender, age, time from fracture to admission, surgical waiting time, previous cerebral infarction, stroke within the past month, Alzheimer′s disease, primary Parkinson′s syndrome, hysterectomy with bilateral adnexectomy, perioperative electrolyte disorders, history of DVT or PE, and preoperative use of oral anticoagulant drug were moderately associated with the occurrence of VTE in elderly patients with femoral neck fracture ( P<0.10). Multivariable stepwise logistic regression analysis demonstrated that female gender ( OR=2.26, 95% CI 1.34, 3.80, P<0.01), time from fracture to admission>1 day ( OR=3.70, 95% CI 2.24, 6.12, P<0.01), surgical waiting time>70 hours ( OR=2.06, 95% CI 1.29, 3.30, P<0.01), previous cerebral infarction ( OR=3.78, 95% CI 1.04, 13.76, P<0.05), stroke within the past month ( OR=11.57, 95% CI 1.21, 110.44, P<0.05), Alzheimer′s disease ( OR=3.26, 95% CI 1.12, 9.49, P<0.05), primary Parkinson ′s syndrome ( OR=3.47, 95% CI 1.22, 9.85, P<0.05), previous hysterectomy with bilateral adnexectomy ( OR=4.75, 95% CI 2.09, 10.80, P<0.01), perioperative electrolyte disorders ( OR=2.73, 95% CI 1.39, 5.35, P<0.01), and preoperative oral anticoagulant use ( OR=3.86, 95% CI 1.18, 12.67, P<0.05) were significantly associated with the occurrence of perioperative VTE in elderly patients with femoral neck fracture. Based on the above 10 risk factors, a perioperative VTE risk predictive model for elderly patients with femoral neck fracture was constructed with the Harvard cancer index. The formula was as follows: X=[10×(female gender)+25×(time from fracture to admission>1 day)+10×(surgical waiting time>70 hours)+25×(previous cerebral infarction)+50×(stroke within the past month)+25×(Alzheimer′s disease)+25×(primary Parkinson′s disease)+25×(previous hysterectomy with bilateral adnexectomy)+10×(perioperative electrolyte disorders)+25×(preoperative use of oral anticoagulant drug)]/33. Individualized VTE risk was classified into five levels: very low, low, moderate, high, and very high, with corresponding VTE rates of 4.8%, 11.8%, 14.9%, 32.3%, and 73.5%, respectively ( χ2=87.71, P<0.01). The VTE risk predictive model demonstrated an AUC of 0.74 (95% CI 0.69, 0.79, P<0.01), with a sensitivity of 63.2% and specificity of 74.8%. The H-L goodness-of-fit test indicated satisfactory model calibration ( P>0.05). The internal validation with the bootstrap method confirmed that the AUC remained 0.74. Conclusions:Female gender, time from fracture to admission>1 day, surgical waiting time>70 hours, previous cerebral infarction, stroke within the past month, Alzheimer′s disease, primary Parkinson′s syndrome, hysterectomy with bilateral adnexectomy, perioperative electrolyte disorders, and preoperative use of oral anticoagulant drug are independent risk factors for perioperative VTE in elderly patients with femoral neck fracture. Based on these factors, the perioperative VTE risk predictive model constructed using the Harvard cancer index demonstrates good clinical predictive value. Individualized VTE risk stratification can effectively identify high-, intermediate-, and low-risk populations, providing a valuable reference for tailoring anticoagulant prophylaxis strategies and enhancing postoperative surveillance.

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