Objective To explore the risk prediction model of major adverse cardiovascular events (MACE) in community patients with hypertension based on remote ambulatory blood pressure parameters. Methods From November 2023 to October 2024, 486 community patients with hypertension who received standardized management in Nanjing Medical University Affiliated to Suzhou Hospital were retrospectively selected. All patients wore remote ambulatory blood pressure monitor to obtain 24-hour ambulatory blood pressure data. Clinical data were collected and remote ambulatory blood pressure parameters [24-hour systolic blood pressure variability (SBPV), 24-hour diastolic blood pressure variability (DBPV), nighttime SBPV, nighttime DBPV, daytime SBPV, daytime DBPV] were extracted. The patients were followed up for 12 months, and were classified into MACE group (n=42) and non-MACE group (n=444) according to whether MACE occurred during follow-up. Multivariate Logistic regression analysis was adopted to screen the influencing factors for MACE. Based on the above factors, a risk prediction model was constructed and verified by receiver operating characteristic (ROC) curve. Results MACE occurred in 42 cases among 486 patients, with an incidence rate of 8.64%. Multivariate Logistic regression analysis suggested that nighttime DBPV (OR=1.119, 95%CI: 1.030-1.214), 24h-SBPV (OR=1.115, 95%CI: 1.007-1.235), nighttime SBPV (OR=1.116, 95%CI: 1.016-1.226) and diabetes mellitus (OR=2.762, 95%CI: 1.059-7.203) were independent factors for MACE (P<0.05). The model validation results revealed that the area under the ROC curve was 0.905 (95%CI: 0.854-0.956 ), and the model had a good discrimination degree. Conclusion Nighttime DBPV, 24h-SBPV, nighttime SBPV and diabetes mellitus are independent risk factors for MACE in community patients with hypertension. The clinical prediction model based on these variables exhibits certain predictive value on MACE risk.

Iron is an indispensable trace element for the human body to maintain normal physiological functions， widely participating in key processes such as oxygen transport， energy metabolism， and cell signal transduction. The homeostasis of iron is crucial for maintaining the structural integrity and functional stability of the cardiovascular system. Recent studies have shown that iron homeostasis imbalance， especially iron overload， has become a major risk factor for the occurrence and development of atherosclerosis （AS）. The downstream-induced ferroptosis can form a "iron overload-lipid peroxidation-inflammation" vicious triangle through multiple pathways such as promoting oxidative stress， lipid peroxidation， and inflammatory response， and the three mutually reinforce each other to accelerate plaque formation and progression. Traditional Chinese medicine （TCM） has demonstrated unique advantages in the prevention and treatment of AS， with definite clinical efficacy. Its mechanism of action， in addition to improving lipid metabolism and protecting vascular endothelium， is closely related to the regulation of iron homeostasis in the body. From the new perspectives of systemic iron homeostasis imbalance and the "iron overload-lipid peroxidation-inflammation" vicious triangle， this article reviews the research progress in the association between iron homeostasis imbalance and AS in recent years， and integrate the mechanism of iron homeostasis imbalance in modern medicine with the TCM theory of stasis and toxin interconnection. It focuses on exploring the potential molecular mechanisms of TCM in regulating iron homeostasis through intervention in key pathways of iron overload and inhibition of ferroptosis， summarizes the "iron reduction-antioxidation-anti-inflammation" network constructed by TCM compound prescriptions， and the characteristics of TCM active components in synergistically resisting systemic iron homeostasis imbalance through sharing key targets such as nuclear factor erythroid 2-related factor 2 （Nrf2） and nuclear factor （NF）-κB. This article provides ideas and a theoretical basis that combine the characteristics of TCM theory with modern scientific evidence for the prevention and treatment of AS.

Objective:To evaluate the diagnostic performance of 64Cu-prostate specific membrane antigen (PSMA)-Q compared with 18F-FDG in patients with advanced prostate cancer and to analyze the radiation dosimetry of 64Cu-PSMA-Q. Methods:This study was an open-label, single-arm, self-controlled diagnostic evaluation trial. A total of 29 patients (age 58-87 years) with pathologically confirmed advanced prostate cancer in the Affiliated Hospital of North Sichuan Medical College from September 2023 to December 2023 were included. All patients underwent both 64Cu-PSMA-Q PET/CT and 18F-FDG PET/CT examinations. McNemar test was used to compare the detection rates of 64Cu-PSMA-Q PET/CT and 18F-FDG PET/CT for primary lesions, lymph node metastases, and bone metastases. Mann-Whitney U test was applied to compare differences in SUV max and tumor-to-background ratio (TBR) between 64Cu-PSMA-Q PET/CT and 18F-FDG PET/CT. Radiation dosimetry of 64Cu-PSMA-Q PET/CT imaging was performed using OLINDA/EXM 2.1 (adult male model) in 9 patients. Results:Primary lesions were detected in 21 patients. 64Cu-PSMA-Q PET/CT demonstrated a detection rate of 95.2%(20/21) for primary lesions, which was significantly higher than that of 18F-FDG PET/CT (66.7%(14/21); χ2=6.00, P=0.031). Detection rates of lymph node metastases were 65.5%(19/29) for 64Cu-PSMA-Q and 55.2%(16/29) for 18F-FDG, with no significant difference ( χ2=3.00, P=0.250). Similarly, detection rates of bone metastases were 72.4%(21/29) for 64Cu-PSMA-Q and 65.5%(19/29) for 18F-FDG respectively ( χ2=2.00, P=0.500). TBRs on 64Cu-PSMA-Q PET/CT were significantly higher than those on 18F-FDG PET/CT across primary lesions (8.3(2.2, 13.3) vs 2.3(1.0, 5.5); Z=7.16, P=0.002), regional lymph node metastases (4.9(1.4, 8.3) vs 1.7(0.9, 4.0), Z=189.34, P=0.001), and bone metastases (18.7(4.5, 26.9) vs 5.1(2.1, 9.7); Z=24.83, P=0.003). No significant difference in TBR was observed for distant lymph node metastases ( Z=1.49, P=0.135) or benign lesions ( Z=0.91, P=0.558). The whole-body effective dose of 64Cu-PSMA-Q was (28.200±1.590)μSv/MBq among the 9 patients analyzed, with no adverse events related to the tracer observed. Conclusion:64Cu-PSMA-Q is a promising novel PET imaging agent with potential clinical utility for diagnosing prostate cancer and supporting clinical decision-making.

Objective To analyze the status quo of cognitive frailty (CF) in community elderly patients with chronic obstructive pulmonary disease (COPD) and its correlation with sleep quality, anxiety and depression. Methods Elderly patients with COPD receiving health management in the center were selected from July 2023 to June 2024. The general data of patients were collected and Mini-Mental State Examination (MMSE), Fried Frailty Phenotype (FP), Pittsburgh Sleep Quality Index (PSQI) and Hospital Anxiety and Depression Scale (HADS) were used for investigation, and the above scores were analyzed. All patients were divided into CF group (n=129) and non-CF group (n=319) according to MMSE score and FP score. Univariate and multivariate logistic analyses were used to analyze the influencing factors of CF in elderly COPD patients. Results Pearson correlation analysis showed that MMSE score was significantly negatively correlated with PSQI score and HADS score in elderly COPD patients (P<0.05), and FP score was significantly positively correlated with PSQI score and HADS score (P<0.05). After logistic regression analysis, it was found that education level, marital status and sleep time were protective factors of CF in elderly COPD patients (P<0.05), and PSQI score and HADS score were risk factors of CF in elderly patients with COPD (P<0.05). Conclusion CF in community elderly COPD patients is related to sleep quality, sleep duration and anxiety and depression. It is necessary to take clinical measures to improve the sleep quality and psychological status, so as to avoid or slow down the occurrence of CF.

Objective: To explore the association between waist circumference and beverage consumption behaviors among junior high school students, so as to provide a theoretical basis for improving their nutritional status. Methods: Using a multi stage cluster random sampling method, 1 611 junior high school students aged 13-15 years from Yushan, Yanshan, Yiyang, and Wannian counties in Shangrao City, Jiangxi Province, were selected for a survey in September 2021 through questionnaires and waist circumference measurements. Stratified analyses were conducted by sex, t-test and analysis of variance (ANOVA) were used to compare waist circumference across groups, and analysis of covariance (ANCOVA) was applied to examine the associations between different types of beverage consumption and waist circumference. Results: Boarding students had significantly greater average waist circumference than day students[boys:(71.86±9.24, 69.69±12.19)cm；girls:(66.53±13.30, 64.63±11.90)cm； t =2.69, 2.08, both P < 0.05 ]. Among boys, waist circumference differed significantly by vigorous physical[vigorous physical:(69.71±9.53)cm; non vigorous exercise:(71.53±12.99)cm]( t=-2.31, P <0.05). Boys waist circumference also differed significantly by consumption frequency (high and medium,low,none) of milk containing beverages[(71.83±7.40, 69.92±9.98, 72.29±13.90)cm], functional beverages[( 73.36± 11.87, 65.97±10.46, 70.71±10.55)cm] and purified water beverages[(69.36±10.87, 71.93±12.15, 71.50±10.09)cm]( F =4.06, 5.93, 4.85, all P <0.05). Girls waist circumference also differed significantly by consumption frequency (high and medium,low,none) of milk containing beverages[(68.81±5.55, 66.59±13.02, 65.36±11.69)cm, F=9.67, P <0.01]. After controlling for the confounding variables, ANCOVA results indicated that the consumption of milk containing beverages, functional beverages and Purified water beverages were significantly associated with waist circumference of boys ( F =3.79, 5.26, 5.08, all P < 0.05 ). Milk containing beverages were significantly associated with waist circumference of girls ( F=4.17, P <0.05). Conclusion The consumption frequency of milk containing beverages and functional beverages by junior high school students is positively correlated with their waist circumference.

BACKGROUND: Postoperative pulmonary complications (PPCs) are major adverse events in neurosurgical patients. This study aimed to develop and validate machine learning models predicting PPCs after neurosurgery. METHODS: PPCs were defined according to the European Perioperative Clinical Outcome standards as occurring within 7 postoperative days. Data of cases meeting inclusion/exclusion criteria were extracted from the anesthesia information management system to create three datasets: The development (data of Huashan Hospital, Fudan University from 2018 to 2020), temporal validation (data of Huashan Hospital, Fudan University in 2021) and external validation (data of other three hospitals in 2023) datasets. Machine learning models of six algorithms were trained using either 35 retrievable and plausible features or the 11 features selected by Lasso regression. Temporal validation was conducted for all models and the 11-feature models were also externally validated. Independent risk factors were identified and feature importance in top models was analyzed. RESULTS: PPCs occurred in 712 of 7533 (9.5%), 258 of 2824 (9.1%), and 207 of 2300 (9.0%) patients in the development, temporal validation and external validation datasets, respectively. During cross-validation training, all models except Bayes demonstrated good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.840. In temporal validation of full-feature models, deep neural network (DNN) performed the best with an AUC of 0.835 (95% confidence interval [CI]: 0.805-0.858) and a Brier score of 0.069, followed by Logistic regression (LR), random forest and XGBoost. The 11-feature models performed comparable to full-feature models with very close but statistically significantly lower AUCs, with the top models of DNN and LR in temporal and external validations. An 11-feature nomogram was drawn based on the LR algorithm and it outperformed the minimally modified Assess respiratory RIsk in Surgical patients in CATalonia (ARISCAT) and Laparoscopic Surgery Video Educational Guidelines (LAS VEGAS) scores with a higher AUC (LR: 0.824, ARISCAT: 0.672, LAS: 0.663). Independent risk factors based on multivariate LR mostly overlapped with Lasso-selected features, but lacked consistency with the important features using the Shapley additive explanation (SHAP) method of the LR model. CONCLUSIONS: The developed models, especially the DNN model and the nomogram, had good discrimination and calibration, and could be used for predicting PPCs in neurosurgical patients. The establishment of machine learning models and the ascertainment of risk factors might assist clinical decision support for improving surgical outcomes. TRIAL REGISTRATION ChiCTR 2100047474; https://www.chictr.org.cn/showproj.html?proj=128279 .
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Algorithms ; Lung Diseases/etiology* ; Machine Learning ; Neurosurgical Procedures/adverse effects* ; Postoperative Complications/diagnosis* ; Risk Factors ; ROC Curve

Objective:To improve the understanding of anaplastic lymphoma kinase (ALK)-negative anaplastic large cell lymphoma complicated with hemophagocytic syndrome (HPS) in children.Methods:A retrospective analysis was conducted on the diagnosis and treatment of a case of EB virus-associated ALK-negative anaplastic large cell lymphoma in a child with HPS as the clinical manifestation at Guangzhou Women and Children's Medical Center Affiliated to Guangzhou Medical University in December 2019, and literature review was conducted.Results:The patient was an 8-year-old boy who was admitted with facial yellowing and recurrent fever. After comprehensive examination, he was diagnosed with HPS. After 2 weeks of chemotherapy according to the hemophagocytic lymphohistiocytosis (HLH)-1994 regimen, lymph node biopsy was performed. Immunohistochemistry showed that CD30, CD5, CD4, CD7, EMA, TIA-1, and VIM were positive, ALK, CD2, CD3, CD8, CD117, CD20, INI-1, CD68, MyoD1, Myogenin, Desmin, Langerin, SALL4, CD56, GramB, and CK were negative, LCA was weakly positive, TFE3 was partially weakly positive, and Ki-67 positivity index was 90%. The clonality assay for TCRD gene rearrangement was positive. The supplementary diagnosis was ALK-negative anaplastic large cell lymphoma, and the clinical risk stratification was classified as high-risk group. After 2 courses of chemotherapy with the South China Children's Cancer Group-non-Hodgkin lymphoma 2017 regimen (SCCCG-NHL-2017), he was evaluated as complete remission (CR), and after 6 courses, he was still evaluated as CR. The patient received autologous hematopoietic stem cell transplantation. The patient was followed up until May 2024, his survival status was good.Conclusions:EB virus-associated ALK-negative anaplastic large cell lymphoma complicated with HPS in children is rare, chemotherapy combined with autologous hematopoietic stem cell transplantation is a feasible treatment option.

Oral squamous cell carcinoma(OSCC)is a malignant lesion originating from the oral mucosal squamous epithelium,account-ing for over 80％of oral and maxillofacial malignancies.Key etiological factors include tobacco,alcohol abuse,and betel quid chewing.In China,its incidence has shown an overall upward trend,posing a significant threat to public health.OSCC exhibits high local invasive-ness,making early diagnosis critical for improving prognosis.Its clinical management requires close multidisciplinary collaboration among oral and maxillofacial surgery,head and neck surgery,radiation oncology,medical oncology,reconstructive surgery,radiology,patholo-gy,and nutritional support teams.Given the increasing disease burden of OSCC and rapid development of multidisciplinary collaborative models,an expert panel has formulated this integrated management consensus based on evidence-based medicine and extensive deliber-ation.Centered on the'Prevention-Screening-Diagnosis-Treatment-Rehabilitation'framework,the consensus provides comprehensive guidance for the entire disease course of OSCC patients,aiming to standardize clinical practice.

Objective To explore the efficacy of a model combining clinicopathological characteristics and multiparametric MRI features for predicting BRCA-mutated breast cancer(BC).Methods A total of 256 BC patients were retrospectively selected and divided into BRCA mutation group(116 cases)and BRCA wild group(140 cases)based on the BRCA results.Chi-square tests or independ-ent sample t-tests were used to compare the differences in clinicopathological characteristics and multiparametric MRI features between the BRCA mutation group and the wild group.Risk factors for BRCA-mutated BC were identified through univariate and multivariate logistic regression ananlyses,and a combined predictive model was constructed.Receiver operating characteristic(ROC)curve was used to ana-lyze the diagnostic efficacy of the model.Results There were statistically significant differences in T stage,human epidermal growth factor receptor 2(HER-2),Ki-67,non-mass enhancement,enhancement pattern,time-signal intensity curve(TIC)type,and apparent diffusion coefficient(ADC)values between the BRCA mutation group and the wild group.Univariate logistic regression analysis showed that T stage,HER-2,Ki-67,non-mass enhancement,enhancement pattern,TIC type,and ADC values were risk factors for BRCA-mutated BC(P<0.05).Multivariate logistic regression analysis revealed that T stage,HER-2,Ki-67,enhancement pattern,and TIC type were independent risk factors for BRCA-mutated BC(P<0.05).The combined model incorporating T stage,HER-2,Ki-67,enhancement pattern,and TIC type had the best diagnostic efficacy in predicting BRCA-mutated BC,with an area under the curve(AUC)of 0.751.Conclusion The combined model integrating T stage,HER-2,Ki-67,enhancement pattern,and TIC type has good efficacy in predicting BRCA-mutated BC.

Oropharyngeal squamous cell carcinoma(OPSCC)is a malignant tumor originating from the squamous epithelium of the oro-pharyngeal mucosa,accounting for more than 90％of oropharyngeal malignancies.In recent years,human papillomavirus(HPV)infec-tion has become one of the primary etiological factors of oropharyngeal squamous carcinoma.The incidence of HPV-associated oropharyn-geal squamous carcinoma has been rising annually,with a noticeable trend toward younger populations,posing a significant threat to hu-man health.Due to the distinct biological behavior and clinical characteristics of HPV-associated oropharyngeal squamous carcinoma com-pared to its non-HPV-related counterpart,the diagnostic and treatment strategies for oropharyngeal squamous carcinoma have undergone substantial changes.Prevention and screening for oropharyngeal squamous carcinoma are of critical importance.The diagnostic and treat-ment process involves multi-disciplinary collaboration,including oral and maxillofacial surgery,otolaryngology,head and neck surgery,oncology,radiology and pathology.Based on evidence from clinical practice,a comprehensive,integrated diagnostic and therapeutic ap-proach has been established,centered around the concept of"prevention,screening,diagnosis,treatment,and rehabilitation",covering the entire patient lifecycle and providing a valuable reference for clinical practice.