1.Anti-CD24 antibody-nitric oxide donor conjugates bearing a self-bioorthogonal cleavable linker.
Jianbing WU ; Tianyue CHENG ; Jiajun XIE ; Ziyu QIAN ; Linhua HUANG ; Xun YUAN ; Libang ZHANG ; Shan YANG ; Yihua ZHANG ; Tonglin XU ; Juan ZHANG ; Zhangjian HUANG
Acta Pharmaceutica Sinica B 2025;15(10):5366-5386
Triple-negative breast cancer (TNBC) is a highly aggressive malignancy predominantly managed via chemotherapy. Our clinical sample analysis revealed a significant correlation between elevated CD24 expression in TNBC tumor cells and patient survival rates. We developed a novel antibody-drug conjugate (ADC), named HN03, consisting of an antibody with engineered cysteines for site-specific conjugation with a low toxic nitric oxide (NO) precursor as its payload through a novel Pt(IV)-mediated bioorthogonal self-cleavable linker. HN03 specifically targets tumor cells expressing high levels of CD24, concurrently generating cisplatin and releasing NO upon activation. HN03 also exhibited potent in vitro and in vivo antitumor activity. It significantly reduced tumor growth at various doses, prevented tumor metastasis, with markedly lower toxicity than traditional chemotherapy agents. We found that a key mechanism of its action involved inducing apoptosis and endoplasmic reticulum stress, substantially decreasing the number of M2-type macrophages. Overall, HN03 stands out as a promising therapeutic option for TNBC, offering a targeted treatment with reduced side effects and the potential for improved outcomes. Furthermore, using Pt(IV) in the linker and an NO precursor as the payload enhances the versatility of the Antibody-NO donor Conjugate (ANC), offering new avenues for the design of the next generation of ADCs.
2.Gallstones, cholecystectomy, and cancer risk: an observational and Mendelian randomization study.
Yuanyue ZHU ; Linhui SHEN ; Yanan HUO ; Qin WAN ; Yingfen QIN ; Ruying HU ; Lixin SHI ; Qing SU ; Xuefeng YU ; Li YAN ; Guijun QIN ; Xulei TANG ; Gang CHEN ; Yu XU ; Tiange WANG ; Zhiyun ZHAO ; Zhengnan GAO ; Guixia WANG ; Feixia SHEN ; Xuejiang GU ; Zuojie LUO ; Li CHEN ; Qiang LI ; Zhen YE ; Yinfei ZHANG ; Chao LIU ; Youmin WANG ; Shengli WU ; Tao YANG ; Huacong DENG ; Lulu CHEN ; Tianshu ZENG ; Jiajun ZHAO ; Yiming MU ; Weiqing WANG ; Guang NING ; Jieli LU ; Min XU ; Yufang BI ; Weiguo HU
Frontiers of Medicine 2025;19(1):79-89
This study aimed to comprehensively examine the association of gallstones, cholecystectomy, and cancer risk. Multivariable logistic regressions were performed to estimate the observational associations of gallstones and cholecystectomy with cancer risk, using data from a nationwide cohort involving 239 799 participants. General and gender-specific two-sample Mendelian randomization (MR) analysis was further conducted to assess the causalities of the observed associations. Observationally, a history of gallstones without cholecystectomy was associated with a high risk of stomach cancer (adjusted odds ratio (aOR)=2.54, 95% confidence interval (CI) 1.50-4.28), liver and bile duct cancer (aOR=2.46, 95% CI 1.17-5.16), kidney cancer (aOR=2.04, 95% CI 1.05-3.94), and bladder cancer (aOR=2.23, 95% CI 1.01-5.13) in the general population, as well as cervical cancer (aOR=1.69, 95% CI 1.12-2.56) in women. Moreover, cholecystectomy was associated with high odds of stomach cancer (aOR=2.41, 95% CI 1.29-4.49), colorectal cancer (aOR=1.83, 95% CI 1.18-2.85), and cancer of liver and bile duct (aOR=2.58, 95% CI 1.11-6.02). MR analysis only supported the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer. This study added evidence to the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer, highlighting the importance of cancer screening in individuals with gallstones.
Humans
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Mendelian Randomization Analysis
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Gallstones/complications*
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Female
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Male
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Cholecystectomy/statistics & numerical data*
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Middle Aged
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Risk Factors
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Aged
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Adult
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Neoplasms/etiology*
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Stomach Neoplasms/epidemiology*
3.Causal effect of sleep disorders on the risk of cerebrovascular events and complications: A two-sample Mendelian randomization study
Journal of Apoplexy and Nervous Diseases 2025;42(10):890-900
Objective To investigate the causal association between sleep disorder-related phenotypes and cerebrovascular outcomes/complications using the two-sample Mendelian randomization (MR) method, and to determine causal orientation via directionality testing. Methods Genetic variations from genome-wide association studies were used as instrumental variables to analyze eight sleep-related phenotypes (continuous sleep, snoring, napping, insomnia, morning diurnal preference, daytime sleepiness, long sleep, and short sleep) against multiple cerebrovascular outcomes and complications (cerebral infarction, unruptured cerebral artery dissection, cerebral arteritis, cerebral amyloid angiopathy, unruptured cerebral aneurysm, cerebral atherosclerosis, intracerebral hemorrhage, vascular syndrome, and sequelae of cerebrovascular disease). The inverse-variance weighted (IVW) method was used for primary analysis, with the assistance of the sensitivity methods such as MR-Egger, weighted median, simple mode, and weighted mode, and the Estimate value was used to characterized effect direction and magnitude, with statistical significance assessed by P value. The Steiger directionality test was used to compare the extent of variance explained by instrumental variables concerning exposure and outcome and confirm causal direction. Results The IVW analysis showed that snoring was associated with an increased risk of cerebral amyloid angiopathy (Estimate=8.08, 95% CI 1.93-14.23, P=0.01), and long sleep duration was associated with an increased risk of cerebral atherosclerosis (Estimate=14.95, 95% CI 2.44-27.46, P=0.02). Short sleep duration was associated with an increased risk of cerebral arteritis (Estimate=13.33, 95% CI 1.54-25.12, P=0.03); however, inconsistent directions were observed across sensitivity methods (e.g., MR-Egger), and therefore, it was treated as suggestive evidence rather than a robust conclusion. The Steiger test showed R2exposure>R2outcome for most exposure-outcome pairs, and the key associations did not persist under reverse-direction analyses, supporting a forward causal pathway from sleep phenotypes to cerebrovascular outcomes and reducing the likelihood of reverse causation. Conclusion Genetic evidence supports a forward causal effect of sleep-related phenotypes on cerebrovascular outcomes and complications, with the most robust findings of “snoring increases the risk of cerebral amyloid angiopathy” and “long sleep duration increases the risk of cerebral atherosclerosis”. Identification and treatment of sleep-disordered breathing and avoidance of prolonged sleep may be used as potential targets for preventing cerebrovascular disease, and multi-ethnic prospective studies and interventional trials are needed to further validate these findings and clarify the underlying biological mechanisms.
4.Correlation Between the Spinopelvic Parameters and Morphological Characteristics of Pedicle-Facet Joints in Different Lumbar Spondylolisthesis
Baoqiang HE ; Yebo LENG ; Shicai XU ; Yang LI ; Jiajun ZHOU ; Min KANG ; Yehui LIAO ; Minghao TIAN ; Qiang TANG ; Fei MA ; Qing WANG ; Chao TANG ; Dejun ZHONG
Neurospine 2025;22(1):231-242
Objective:
Based on spinopelvic parameters and biomechanical principles, the pedicle-facet joint (PFJ) morphological characteristics of isthmic and degenerative spondylolisthesis were analyzed, and the mechanism of their onset and progression was discussed.
Methods:
This retrospective cross-sectional study included 194 patients with L5 spondylolysis or L5–S1 low-grade isthmic spondylolisthesis (IS group), 172 patients with L4–5 degenerative spondylolisthesis (DS group), and 366 patients with nonlumbar spondylolysis (NL group). The spinopelvic parameters and PFJ morphological parameters of the patients were measured, the differences in these parameters among and within the 3 groups were compared, and the correlations were analyzed.
Results:
Sacral slope (SS) and lumbar lordosis (LL) were the highest in the IS group, the second highest in the DS group, and the lowest in the NL group. Among the 3 groups, the L4 facet joint angle (FJA) was the largest in the IS group, the second largest in the NL group, and the smallest in the DS group. The L4 pedicle-facet joint angle (PFA) was the largest in the DS group, the second largest in the IS group, and the smallest in the NL group. Pearson correlation analysis showed that within each group, SS and LL were negatively correlated with FJA and positively correlated with PFA.
Conclusion
This study found a correlation between the PFJ morphological characteristics of patients with lumbar spondylolisthesis and spinopelvic parameters, suggesting that the morphological characteristics of PFJs may be caused by varying stresses under different spinopelvic morphologies.
5.Assessing distribution characteristics and clinical significance of vertebral fractures in patients with osteoporosis based on whole spine MRI
Jiajun ZHOU ; Fei MA ; Yebo LENG ; Shicai XU ; Baoqiang HE ; Yang LI ; Yehui LIAO ; Qiang TANG ; Chao TANG ; Qing WANG ; Dejun ZHONG
Chinese Journal of Tissue Engineering Research 2025;29(9):1883-1889
BACKGROUND:Osteoporotic vertebral fractures are the most common complication in patients with osteoporosis.As a new imaging technique,spine magnetic resonance imaging(MRI)is much more sensitive than X-ray film in the diagnosis of osteoporotic vertebral fractures.However,total spine MRI is costly and takes a long time to scan.Therefore,there is no consensus on whether all patients with osteoporotic vertebral fractures need to undergo total spine MRI scan and which patients need to undergo total spine MRI. OBJECTIVE:To analyze the distribution characteristics of vertebral fractures and explore their clinical significance by observing the whole spine MRI data of osteoporotic vertebral fractures patients. METHODS:Data of cases and MRI images of all patients diagnosed with fresh osteoporotic vertebral fractures who visited the Department of Orthopedics,Affiliated Hospital of Southwest Medical University from August 2018 to September 2022 were retrospectively analyzed.903 patients were included in the study based on inclusion and exclusion criteria.General information(age,gender,and body mass index),medical history characteristics(duration of illness,history of trauma surgery,percussion pain area,and pain score)were collected.The characteristics of vertebral fractures were analyzed through whole spine magnetic resonance imaging.Firstly,based on the number of vertebral fractures in patients,they were divided into the single vertebral fracture group(484 cases)and the multi-vertebral fracture group(419 cases),and the differences were analyzed between the two groups.Then,based on whether the farthest interval between the fractured vertebrae was greater than or equal to 5,the multi vertebral fracture group was further divided into two subgroups.Among them,Group A(the farthest interval between the fractured vertebrae was less than 5)contained 306 cases;Group B(with the farthest interval between fractured vertebral bodies greater than 5)included 113 cases.The differences were analyzed between two subgroups. RESULTS AND CONCLUSION:(1)Among 903 patients,419 patients(46.4%)had more than two fractured vertebrae.There were 654 patients(72.4%)with thoracolumbar fractures,and 54 patients(6%)with fractures in the thoracic plus lumbar region and the entire thoracic to lumbar region.In group B,96.5%of patients had multiregional percussion pain.(2)Compared with the patients in the single vertebral fracture group and the multi-vertebral fracture group,there were significant differences in bone mineral density,whether the medical history was greater than or equal to 1 month,the history of low energy injury,and the distribution and number of axial percussion pain areas in the spine during physical examination between the two groups(P<0.05).Age,gender,body mass index,whether there was underlying disease,pain visual analog scale score,whether there was a history of elderly thoracolumbar fracture,and whether there was a history of thoracolumbar surgery,and the number of fractured vertebrae had no statistical significance(P>0.05).(3)There were statistically significant differences between the Groups A and B in bone mineral density,the distribution and quantity of percussion pain area,and the history of low energy injury(P<0.05).There were no significant differences in age,gender,history of old fractures,visual analog scale score,body mass index,whether the medical history was longer than or equal to 1 month,history of underlying diseases,and history of thoracolumbar surgery between the two groups(P>0.05).(4)Patients with multiple low-energy trauma history,history of more than 1 month,multiple percussion pain,and the lower bone mineral density should be alert to the occurrence of multiple vertebral fracture and jump fracture.We recommend the whole spinal MRI for these patients.
6.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
7.2024 Update of Chinese Guidelines for the Management of Hyperuricemia and Gout Part Ⅱ: Recommendations for Patients with Common Comorbidities
Changgui LI ; Mingshu SUN ; Zhen LIU ; Detian LI ; Changqian WANG ; Zibin TIAN ; Yuxiang DAI ; Zhe FENG ; Chengfu XU ; Dongbao ZHAO ; Feng WEI ; Bo BAN ; Chao XIE ; Zhenmei AN ; Jia LIU ; Zhuo LI ; Yuwei HE ; Xinde LI ; Fei YAN ; Lin HAN ; Lidan MA ; Xiaoyu CHENG ; Tian LIU ; Xufei LUO ; Lingling CUI ; Ying GONG ; Can WANG ; Yaolong CHEN ; Zhaohui LYU ; Yip Ronald ML ; Jiajun ZHAO
Chinese Journal of Endocrinology and Metabolism 2025;41(11):918-929
The aim of this updated guideline is to provide comprehensive recommendations for the management of gout in patients with common comorbidities, such as chronic kidney disease(CKD), cardiovascular disease(CVD), diabetes, osteoarthritis(OA), and gastrointestinal disorders. This guideline was developed by a multidisciplinary expert panel consisting of specialists in endocrinology, rheumatology, nephrology, cardiology, gastroenterology, and methodology. The development process adhered to standard methodologies, including PICO(population, intervention, comparator, and outcomes) question deconstruction, systematic literature review, the Grading of Recommendations Assessment, Development and Evaluation(GRADE) for evidence and recommendation evaluation, Delphi voting, and expert consensus. The guideline presents 26 evidence-based recommendations addressing 7 clinical questions for patients with hyperuricemia and gout in the context of comorbidities. Key recommendations include the maintenance of strict serum urate targets, particularly for patients with CKD stage≥3, chronic gouty arthritis, and OA, in order to prevent disease progression. In patients with CVD or diabetes, intra-articular triamcinolone is preferred over systemic glucocorticoids. Prioritized anti-inflammatory treatments for patients with CKD, gastrointestinal diseases and OA are recommended. The guideline also introduces emerging therapies, such as interleukin-1 inhibitors and selective urate transport inhibitors, as potential treatment options for refractory cases. The update offers a comprehensive, patient-centered approach to managing gout, particularly in individuals with associated comorbidities. Multidisciplinary collaboration and emerging new treatments and evidence ensure the optimization of the recommendations.
8.Transcutaneous bilirubin curves in healthy neonates based on multicenter remote monitoring data
Bi ZE ; Xiaoyue DONG ; Jin WANG ; Chuan NIE ; Jiajun ZHU ; Fang GUO ; Falin XU ; Chunhui YANG ; Bizhen SHI ; Zhankui LI ; Xinhua ZHANG ; Jing LI ; Bin YI ; Xiuying TIAN ; Lejia ZHANG ; Jun TANG ; Xinlin HOU ; Jiahua XU ; Guoying HUANG ; Shuping HAN ; Wenhao ZHOU
Chinese Journal of Pediatrics 2025;63(12):1318-1324
Objective:To establish 30-day of age transcutaneous bilirubin (TcB) reference curves for healthy neonates, and to investigate regional variations in bilirubin dynamics.Methods:A multicenter retrospective cohort study was conducted. A total of 220 950 healthy neonates born at a gestational age of 35-<42 weeks, with a birth weight ≥2 000 g, who did not receive phototherapy within 60 h after birth were recruited. All of them underwent remote TcB monitoring using the Bilibaby remote jaundice monitoring system between August 1 st, 2020 and December 31 st, 2024 in 426 hospitals. TcB data were collected within the period from birth to 30-day of age. The P40, P75, and P95 of TcB values were calculated, and dynamic TcB curves for 30-day of age were constructed. Patterns of bilirubin change, rates of change, and transition outcomes were described. Regional comparisons between South and North were conducted using linear mixed-effects models for TcB trajectories and Pearson′s chi-square test for outcome differences. Results:A total of 220 950 neonates were included, of whom 101 711 (46.03%) were female. Gestational age at birth was (38.75±1.12) weeks, and birth weight was (3 272±417) g. TcB levels increased rapidly within 3-day of age, peaked at 4-6-day of age, with peak values at P40, P75, and P95 of 200.6, 239.7 and 275.4 μmol/L (11.8, 14.1 and 16.2 mg/dl), respectively. TcB levels gradually declined thereafter and stabilized after 13-day of age, with values at P40, P75, and P95 fluctuating between 147.9-159.8, 190.4-200.6, and 231.2-239.7 μmol/L (8.7-9.4, 11.2-11.8, 13.6-14.1 mg/dl), respectively. Notably, among neonates categorized as low-or low-intermediate-risk within 3-day of age, 6 700 (12.76%) progressed to intermediate-high or high risk between 4 and 30 days of age. Before 13-day of age, TcB levels in the southern regions were consistently higher than those in the northern regions ( P=0.039); from 14 to 30 days of age, the overall TcB levels had no statistically difference, but the temporal changes in TcB still showed regional differences (degrees of freedom=3, all interaction P<0.05). Among neonates classified as low-or low-intermediate risk within 3-day of age, 25 326 were from southern regions, of whom 4 254 (16.80%) progressed to intermediate-high or high risk between 4 and 30 days of age. In northern regions, 27 193 neonates were classified as low-or low-intermediate risk within 3-day of age, among whom 2 446 (8.99%) progressed to intermediate-high or high risk. The risk progression between the 2 regions had statistically difference ( χ2=716.49, P<0.001). Conclusions:A TcB percentile curve for neonates within 30-day of age was established, revealing that both the overall TcB level and its temporal trend were higher in southern than in northern newborns. These findings provide baseline data to support continuous management of neonatal jaundice.
9.Development of a multimodal deep learning-based risk prediction model integrating clinical and radiomic features for short-term acute kidney injury following partial nephrectomy
Jiangting CHENG ; Jiayi XU ; Chenyang SHEN ; Guanwen YANG ; Yaohui LI ; Li LIU ; Jiajun WANG ; Xiaoyi HU ; Jianming GUO ; Hang WANG
Chinese Journal of Urology 2025;46(5):349-355
Objective:To develop and validate a deep learning-based multimodal model integrating clinical and radiomic features for predicting acute kidney injury(AKI)risk after partial nephrectomy.Methods:A retrospective analysis was conducted on 416 patients who underwent partial nephrectomy at Zhongshan Hospital,Fudan University from January 2023 to January 2025. The cohort included 100 AKI patients[defined by a ≥ 25% reduction in postoperative evaluated glomerular filtration rate(eGFR)within 48 hours sustained for >24 hours]and 316 non-AKI patients(1∶3 ratio,randomly matched with 16 additional cases for redundancy). Clinical and radiomic features were extracted from preoperative contrast-enhanced CT scans using PyRadiomics. Demographics included 259 males and 158 females,with a median age of 57(49,65)years,body mass index of(24.1 ± 3.3)kg/m2,preoperative eGFR of(88.5 ± 18.3)ml/(min·1.73 m2),postoperative eGFR(48-hour)of(76.0 ± 21.9)ml/(min·1.73 m2),Zhongshan Score(ZSscore)of 7.34 ± 2.01,and R.E.N.A.L. score of 7.50 ± 1.71. All tumors were T 1a stage. Patients were divided into training(n = 312)and test(n = 104)sets(3∶1 ratio). A clinical model was constructed via multivariate logistic regression,while radiomic and combined(clinical + radiomic)models utilized an artificial neural network(ANN)with 1 input layer,5 hidden layers,1 output layer,and 10 5 training epochs. Model performance was evaluated by using receiver operating characteristic(ROC)curves and area under the curve(AUC),and was compared to the Martini model. Feature contributions were interpreted via SHapley Additive exPlanations(SHAP). Results:In the test set,the results of multivariate logistic regression showed that patient’s weight,preoperative eGFR,R.E.N.A.L. score,surgical approach,and operation time were risk factors for AKI( P < 0.05). The AUC of the clinical feature prediction model constructed based on the above factors was 0.852(95% CI 0.775?0.929). In the test set,the AUC of the Martini model was 0.725(95% CI 0.565?0.791). The radiomic model,trained on 1 315 imaging features,achieved an AUC of 0.898(95% CI 0.804?0.993)with 94.2%(98/104)accuracy. The combined clinical and radiomic model,integrating 1 315 radiomic features and clinical features,demonstrated superior performance with an AUC of 0.946(95% CI 0.887?1.000)and 96.2%(100/104)accuracy,outperforming both the clinical model( P = 0.03)and the Martini model( P < 0.01). SHAP analysis identified the top five predictors in the combined model:ZSscore(SHAP value:0.78),long-run low gray-level emphasis(SHAP value:0.61),run-length non-uniformity(SHAP value:0.58),size-zone non-uniformity(SHAP value:0.46),and gray-level co-occurrence matrix joint energy(SHAP value:0.36). Conclusions:The deep learning-based multimodal model integrating clinical and radiomic features accurately predicts AKI risk after partial nephrectomy,offering a novel strategy for preoperative risk stratification and personalized intervention.
10.Prediction of repeat pulmonary balloon angioplasty within using TAPSE/sPAP ratio in chronic thromboembolic pulmonary hypertension
Dezhi REN ; Jiajun XIONG ; Chenchen LYU ; Yaqi XU ; Zhenguo ZHAI ; Wanmu XIE ; Hui WANG ; Jun DUAN
Chinese Journal of Thoracic and Cardiovascular Surgery 2025;41(9):544-549
Objective:To evaluate the predictive value of the tricuspid annular plane systolic excursion to systolic pulmonary artery pressure ratio(TAPSE/sPAP) in identifying precapillary pulmonary hypertension(pcPH) patients requiring repeat balloon pulmonary angioplasty(BPA) within 3 months after initial intervention, and to determine independent risk factors associated with postoperative reintervention.Methods:We retrospectively collected clinical data from 215 consecutive patients with pcPH undergoing BPA. After applying exclusion criteria, 200 patients were ultimately included in the analysis. The predictive value of the TAPSE/sPAP for short-term BPA reintervention was assessed using receiver operating characteristic( ROC) curve analysis and multivariable logistic regression. Internal validation was performed through bootstrap resampling with 1 000 iterations to evaluate model stability. Results:A risk model for echocardiography was constructed using multiple logistic regression, and the results showed that systolic pulmonary artery pressure(sPAP), peak tricuspid regurgitation velocity(TRV), tricuspid regurgitation pressure gradient(PGTR), and TAPSE/sPAP ratio were predictive factors for BPA surgery in patients with pulmonary hypertension within 3 months. Multivariate regression analysis suggests that the TAPSE/sPAP ratio is an independent influencing factor for BPA after 3 months( OR=0.023, P<0.05). The predicted area under the ROC curve( AUC) for BPA after 3 months is 0.62(95% CI: 0.530-0.648), P<0.01, which is better than other cardiac ultrasound indicators. At the same time, internal bootstrap method was used for internal self-validation, and the AUC of the internal self-validation set was 0.67. Conclusion:The TAPSE/sPAP ratio serves as an independent predictor for requiring repeat BPA within 3 months postoperatively in patients with pcPH.

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