Hematoxylin-eosin Staining-based Tumor Microenvironment Subtype System Adjuvant Therapeutic Selection for Locally Advanced Upper Tract Urothelial Carcinoma After Radical Surgery：A Perspective Cohort Study

This multicenter, real-world study introduces a novel Hematoxylin-eosin staining(H&E)-based four tumor microenvironment (TME) system (HEFTME system) assisting in prognostic prediction and precise adjuvant treatment selection for laUTUC postoperatively.

Start Date01 Feb 2025

Sponsor / Collaborator

Peking University First Hospital

[+2]

ChiCTR2500096461

/ SuspendedNot ApplicableIIT

A multicenter, observational, real-world study of minocycline bismuth based quadruple therapy for Helicobacter pylori eradication

Start Date25 Jan 2025

Sponsor / Collaborator

Fujian Provincial Hospital

100 Clinical Results associated with Fujian Provincial Hospital

0 Patents (Medical) associated with Fujian Provincial Hospital

169

Literatures (Medical) associated with Fujian Provincial Hospital

31 Dec 2025·International Journal of Hyperthermia

Nomogram for predicting the efficacy of high-intensity focused ultrasound ablation for uterine fibroids based on oxytocin experimentation and ultrasonographic features: a retrospective single-center study

Article

Author: Chen, Mengqi ; Zhang, Danling ; Zou, Jianzhong ; Ding, Guisheng ; Chen, Sheng ; Wu, Songsong

OBJECTIVETo develop and validate a nomogram for predicting the effectiveness of high-intensity focused ultrasound (HIFU) ablation for uterine fibroids based on oxytocin experiments combined with sonographic features.METHODSSixty patients with uterine fibroids treated with HIFU combined with oxytocin for uterine fibroids were retrospectively analyzed. Before HIFU treatment, all patients underwent abdominal ultrasonography and oxytocin testing for classification. Predictive factors were selected through univariate and multivariate logistic regression analyses. A predictive model for the clinical efficacy of HIFU treatment of uterine fibroids was established using the R language. The model was visualized by a nomogram, and its discriminative ability, calibration, and clinical value were evaluated.RESULTSTypes of myomas, classification of blood flow around the myomas, location of the myomas, and classification of oxytocin were selected as the final predictive factors to construct the model. The calibration curve of the nomogram demonstrated good consistency between actual observations and nomogram predictions, with an absolute error of 0.066. The model's discriminative ability was evaluated by the area under the curve, which was 0.887 (95% CI: 0.818-0.955). The sensitivity and specificity were 84.4% and 78.8%, respectively, indicating that the model had a good predictive value for the ablation situation. Decision curve analysis showed that the model had high clinical applicability, with the maximum net benefit threshold probability interval ranging from 12.0% to 80.5%.CONCLUSIONThe prediction model for HIFU treatment of uterine fibroids, based on ultrasound characteristics and oxytocin test, shows strong predictive ability and may help clinicians choose suitable patients for treatment.

01 Dec 2025·Asia-Pacific Journal of Oncology Nursing

Machine learning models to predict 6-month mortality risk in home-based hospice patients with advanced cancer

Article

Author: Lu, Yuanfeng ; Cheng, Wan ; Chen, Guojuan ; Zheng, Jianwei ; Zhu, Zheng ; Wu, Hong ; Xiao, Huimin ; Wei, Yitao

ObjectiveThis study aimed to construct predictive models using five different machine learning algorithms for predicting 6-month mortality risk among home-based hospice patients with advanced cancer.MethodsThis population-based retrospective prognostic study examined data from 7023 patients in a home-based hospice center. Various algorithms including logistic regression, random forest, XGBoost, support vector machine, and neural network were implemented in this study. The model performance and effectiveness were assessed using sensitivity, specificity, accuracy, the area under the curve (AUC), and F1 Score. Additionally, a nomogram was developed to calculate individualized risk probabilities, enhancing clinical utility.ResultsAmong the five types of predictive models, the logistic regression model achieved an AUC of 0.754 (95% CI: 0.721-0.786) in the test dataset, outperforming other machine learning algorithms. The nomogram developed from the logistic regression model included 10 independent risk factors for 6-month mortality. The Hosmer-Lemeshow test showed no significant difference between the predicted and observed outcomes (training set: 12.646, P = 0.13; testing set: 3.807, P = 0.87). Clinical decision curve analysis indicated that the model provided substantial net benefits across a wide range of thresholds.ConclusionsOur study demonstrated that routinely collected healthcare data on the first home visit have the potential to help screen high-risk patients, which may provide evidence for targeted hospice care.

01 Jul 2025·International Journal of Nursing Studies

The impacts of a mHealth platform-enabled lifestyle-integrated multicomponent exercise program on reversing pre-frailty in community-dwelling older adults: A randomized controlled trial

Article

Author: Xu, Yuqing ; Lin, Siyang ; Li, Na ; Yuan, Yin ; Zhu, Pengli ; Wang, Nan ; Huang, Feng

BACKGROUNDMulticomponent exercise has robust evidence supporting their effectiveness in preventing pre-frailty/frailty. However, a generalizable model for managing frailty through exercise in real-world settings is still not well defined. A promising approach is to incorporate exercise into daily life. We have developed a lifestyle-integrated multicomponent exercise program supported by a mHealth platform. The objective of this research was to assess its effectiveness and elucidate its potential mechanisms for reversing pre-frailty in community-dwelling older adults.METHODSIn this prospective, two-arm parallel randomized controlled trial, 134 pre-frail older adult were enrolled from the Fujian Prospective Ageing Cohort. Participants were randomly assigned to either the intervention group (integrating multicomponent exercise into daily life through a mHealth platform) or control group (health education). The primary outcome was the proportion of participants exhibiting pre-frailty after a 6-month intervention. Secondary outcomes included changes in functional fitness, body composition, bone mineral density, physical activity, and sedentary behavior.RESULTOf the 134 participants, 52 (77 %) from the intervention group and 54 (81 %) from the control group completed the study. After 6 months, the proportion of pre-frailty was significantly lower in the intervention group compared to the control group (32.8 % vs 98.5 %, P < .001). Improvements were observed in all five frailty components, except for unintentional weight loss. The intervention group also demonstrated significant enhancement in functional fitness, bone mineral density, and body composition (P < .05). Additionally, the intervention group experienced a decrease in sedentary time and an increase in light physical activity, although there was no statistically significant difference in moderate-to-vigorous physical activity.CONCLUSIONThe lifestyle-integrated multicomponent exercise program, facilitated through a mHealth platform, shows promising beneficial effects on reversing pre-frailty, improving functional fitness and body composition, and decreasing sedentary behavior in community-dwelling older adults.

100 Deals associated with Fujian Provincial Hospital

100 Translational Medicine associated with Fujian Provincial Hospital

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