1.Machine learning-based prediction of accelerated corneal collagen cross-linking surgery outcomes
Qi WAN ; Li CHEN ; Ran WEI ; Hongbo YIN ; Jing TANG ; Yingping DENG ; Ke MA
Chinese Journal of Experimental Ophthalmology 2025;43(4):323-334
Objective:To use machine learning to predict the efficacy of accelerated corneal collagen cross-linking (A-CXL) surgery, identify prognostic factors, and construct models to predict postoperative disease progression.Methods:A single-center retrospective study was conducted.A total of 82 keratoconus patients (112 eyes) who underwent A-CXL surgery at the West China Hospital of Sichuan University between March and December 2021 were enrolled.Preoperative and follow-up examinations included anterior segment evaluation by slit-lamp microscopy, corneal topography using Pentacam, and corneal biomechanical indices using Corvis ST.Disease progression was defined as an increase in maximum keratometry (Kmax) of ≥1 D from the preoperative level at the last follow-up.Various machine learning algorithms were employed to analyze corneal topography, biomechanical parameters and corneal densitometry values to identify prognostic factors and construct models for predicting postoperative disease progression.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of West China Hospital, Sichuan University (No.2023496).Written informed consent was obtained from each subject.Results:During follow-up, 15.1% (17/112) of the eyes showed progression after A-CXL.The preoperative astigmatism and stress-strain index (SSI) in the progression group were (-5.41±2.72)D and 1.41±0.78, respectively, which were significantly higher than (-3.30±2.54)D and 0.95±0.98 in the non-progression group ( t=2.80, 2.03; both P<0.05).Cox regression analysis identified preoperative astigmatism (hazard ratio [HR]=1.20), SSI (HR=1.10), and anterior corneal densitometry of 2-6 mm (CDA6) (HR=2.10) as significant risk factors for post-A-CXL progression.Among various machine learning models developed and validated, the area under the curve (AUC) values for logistic regression, multilayer perceptron (MLP) model, and random forest (RF) exceeded 0.700.For F1-score, the AUC values for logistic regression, MLP, and RF were 0.870, 0.880, and 0.880, respectively.The network structure of the visualized MLP was a single-layer, 24-neurons neural network with 80% accuracy in predicting whether progression occurred after A-CXL.The clinical nomogram developed in conjunction with astigmatism, SSI, and CDA6 predicted the cumulative probability of progression at 0.5, 1, and 2 years postoperatively based on the sum of the specified values for each variable, and based on the optimal cutoff value, keratoconus corneas could be classified into high-, intermediate-, and low-risk groups, respectively.The time-dependent subject operating characteristic curves of the nomogram showed AUCs of 0.734, 0.685, and 0.935 at 0.5, 1, and 2 years postoperatively, respectively, all of which performed well in predicting progression. Conclusions:Preoperative astigmatism, SSI, and CDA6 are significant risk factors for post-A-CXL progression in keratoconus.The MLP model can accurately predict postoperative disease progression, and the clinical nomogram combining preoperative astigmatism, SSI, and CDA6 can effectively differentiate between low-, medium-, and high-risk postoperative progression outcomes.
2.Machine learning-based prediction of accelerated corneal collagen cross-linking surgery outcomes
Qi WAN ; Li CHEN ; Ran WEI ; Hongbo YIN ; Jing TANG ; Yingping DENG ; Ke MA
Chinese Journal of Experimental Ophthalmology 2025;43(4):323-334
Objective:To use machine learning to predict the efficacy of accelerated corneal collagen cross-linking (A-CXL) surgery, identify prognostic factors, and construct models to predict postoperative disease progression.Methods:A single-center retrospective study was conducted.A total of 82 keratoconus patients (112 eyes) who underwent A-CXL surgery at the West China Hospital of Sichuan University between March and December 2021 were enrolled.Preoperative and follow-up examinations included anterior segment evaluation by slit-lamp microscopy, corneal topography using Pentacam, and corneal biomechanical indices using Corvis ST.Disease progression was defined as an increase in maximum keratometry (Kmax) of ≥1 D from the preoperative level at the last follow-up.Various machine learning algorithms were employed to analyze corneal topography, biomechanical parameters and corneal densitometry values to identify prognostic factors and construct models for predicting postoperative disease progression.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of West China Hospital, Sichuan University (No.2023496).Written informed consent was obtained from each subject.Results:During follow-up, 15.1% (17/112) of the eyes showed progression after A-CXL.The preoperative astigmatism and stress-strain index (SSI) in the progression group were (-5.41±2.72)D and 1.41±0.78, respectively, which were significantly higher than (-3.30±2.54)D and 0.95±0.98 in the non-progression group ( t=2.80, 2.03; both P<0.05).Cox regression analysis identified preoperative astigmatism (hazard ratio [HR]=1.20), SSI (HR=1.10), and anterior corneal densitometry of 2-6 mm (CDA6) (HR=2.10) as significant risk factors for post-A-CXL progression.Among various machine learning models developed and validated, the area under the curve (AUC) values for logistic regression, multilayer perceptron (MLP) model, and random forest (RF) exceeded 0.700.For F1-score, the AUC values for logistic regression, MLP, and RF were 0.870, 0.880, and 0.880, respectively.The network structure of the visualized MLP was a single-layer, 24-neurons neural network with 80% accuracy in predicting whether progression occurred after A-CXL.The clinical nomogram developed in conjunction with astigmatism, SSI, and CDA6 predicted the cumulative probability of progression at 0.5, 1, and 2 years postoperatively based on the sum of the specified values for each variable, and based on the optimal cutoff value, keratoconus corneas could be classified into high-, intermediate-, and low-risk groups, respectively.The time-dependent subject operating characteristic curves of the nomogram showed AUCs of 0.734, 0.685, and 0.935 at 0.5, 1, and 2 years postoperatively, respectively, all of which performed well in predicting progression. Conclusions:Preoperative astigmatism, SSI, and CDA6 are significant risk factors for post-A-CXL progression in keratoconus.The MLP model can accurately predict postoperative disease progression, and the clinical nomogram combining preoperative astigmatism, SSI, and CDA6 can effectively differentiate between low-, medium-, and high-risk postoperative progression outcomes.
3.Interpretation of the group standard for measurement technique of central venous pressure
Mingxi ZHAO ; Xin GUAN ; Hong SUN ; Hongming MA ; Yueying FENG ; Meng YU ; Dengxiu ZOU ; Hongbo LUO ; Zunzhu LI ; Jie JING ; Xinjuan WU
Chinese Journal of Nursing 2025;60(1):47-51
Central venous pressure(CVP)is a commonly used hemodynamic index in clinical practice,and the accuracy of its measurement results is influenced by the measurement technical specifications.Based on research evidence and clinical practice,this article interprets the main content of the group standard of CVP measurement technology,and proposes suggestions for its use.It aims to guide clinical nursing staff to correctly understand the principles and methods of CVP measurement,and promote the standardization of nursing practice and the accuracy of measurement results.
4.Construction and Application of Whole Process Information Management for Clinical Trial Drugs
Yiqi FAN ; Shuai HE ; Shixiang ZHENG ; Yan WANG ; Hongbo GUO ; Yanjiao MA
Herald of Medicine 2025;44(6):1004-1009
Objective To sort out the management system of clinical trial drugs in our hospital,and analyze the construction and practical experience of the information system in the whole process management of clinical trial drugs,and to further improve the efficiency and quality of clinical trials.Methods Based on the original management of clinical trial drugs,an information system in line with the situation of our hospital was applied to manage the whole process of clinical trial drugs.Results Compared with the traditional management,the information system can automatically record the data of inbound and outbound storage,distribution,retrieval and return of trial drugs in real time,pre-review the prescriptions and randomized documents of clinical trial drugs,and realise paperless office.Conclusions The information system can ensure the safety,accuracy and traceability of the data of drugs used in clinical trial.The system can also save resources,improve the efficiency and quality of clinical trial management.
5.Applicability study of CT pulmonary angiography in evaluating treatment effect after balloon pulmonary angioplasty in chronic thromboembolic pulmonary hypertension
Zhihui LU ; Chen ZHANG ; Jun WAN ; Yao XIAO ; Lei ZHAO ; Guanyu LU ; Hongbo ZHANG ; Lanling WANG ; Xiaohai MA
Chinese Journal of Radiology 2025;59(4):447-453
Objective:To investigate whether changes in CT pulmonary angiography (CTPA) parameters before and after balloon pulmonary angioplasty (BPA) are correlated with treatment effects in patients with chronic thromboembolic pulmonary hypertension (CTEPH).Methods:A retrospective study was conducted, including patients with CTEPH who underwent BPA treatment at Beijing Anzhen Hospital from November 2021 to Febbruary 2024. Clinical data and CTPA parameters were analyzed before the initial BPA session and at least 6 months after the final BPA session. Clinical data included WHO functional class, 6-minute walk distance (6MWD), and plasma N-terminal pro-brain natriuretic peptide (NT-proBNP) levels. The CTPA parameters included the widest diameter of the pulmonary artery diameter (dPA), ascending aorta diameter (dAA), the widest transverse diameter of the right atrium (dRA), the widest short-axis diameter of the right ventricle (dRV), the widest short-axis diameter of the left ventricle (dLV), and the diameter of right ventricular free wall thickness(dRVW). Multiple linear regression was applied to identify variables associated with the decrease in mean pulmonary artery pressure (mPAP) among the CTPA parameters.Results:All CTEPH patients underwent a total of 115 BPA treatments. Postoperatively, the WHO functional class of the patients improved compared to preoperative levels ( χ2=5.01, P<0.001), 6MWD improved ( t=4.50, P<0.001), and NT-proBNP levels decreased ( Z=4.47, P<0.001). Hemodynamic parameters, including mPAP, pulmonary vascular resistance, cardiac output, and cardiac index, were significantly improved postoperatively (all P<0.001). CTPA-related parameters, including dPA, dRA, dRV, dRVW, dPA/dAA, dRV/dLV, and dRA/dPA, significantly decreased compared to preoperative values (all P<0.001). Multiple linear regression analysis showed that the decrease in dPA ( β=0.314, P=0.037) and dRA ( β=0.334, P=0.046) were significantly correlated with the improvement in mPAP. Conclusions:Exercise tolerance, hemodynamics, and CTPA parameters in patients with CTEPH significantly improved after BPA treatment. The decrease in dPA and dRA were significantly correlated with the improvement in mPAP, suggesting that CTPA is a potentially novel, objective, effective, and noninvasive method for evaluating the therapeutic efficacy of BPA.
6.A preliminary analysis of the clinical characteristics of patients with temperature-sensitive temporomandibular joint disorder syndrome.
Yifan HU ; Bowen MA ; Xiaoting ZHAI ; Xinyu XU ; Yihan WANG ; Hongbo LI ; Min HU ; Hongchen LIU ; Hua JIANG
West China Journal of Stomatology 2025;43(2):269-274
OBJECTIVES:
This study aims to analyze the clinical symptoms and imaging manifestations in patients with temporomandibular disorder syndrome (TMD), who are sensitive to sudden temperature drop.
METHODS:
One hundred and nineteen patients with TMD who attended the Department of Stomatology of the First Medical Center of Chinese People's Liberation Army General Hospital from December 2022 to December 2023 were included, including 44 males and 75 females, with a mean age of 32.4±13.7 years.The questionnaire was used to determine whether they were sensitive to temperature drop, and the TMD patients were divided into a temperature plunge-sensitive group and a temperature drop insensitive group. The clinical symptoms and imaging manifestations of patients in the two groups were observed. SPSS 25.0 was used for statistical analysis.
RESULTS:
There was no statistically significant difference between the gender and age of patients in the temperature plunge-sensitive group (50 patients) and the insensitivity group (69 patients) (P>0.05). The percentage of patients with pain was slightly higher in the temperature plunge-sensitive group [86.0% (43/50)] than in the insensitive group [68.1% (47/69)], and the difference was statistically significant (χ2=5.031, P=0.025), while the differences in joint murmur and mouth opening limitation between the two groups were not statistically significant. A total of 238 lateral joints were detected in both groups, the percentage of osteoarthropathic imaging changes was significantly higher in the temperature plunge-sensitive group [82.0% (82/100)] than in the insensitive group [53.6% (74/138)] (χ2=20.675, P<0.001). Magnetic imaging showed that the percentage of joint effusion was higher in patients in the temperature plunge-sensitive group [66.0% (33/50)] than in the insensitive group [42.0% (29/69)], and the difference was statistically significant (χ2=5.602, P=0.018).
CONCLUSIONS
TMD patients with maxillofacial pain symptoms, joint effusions, and abnormal imaging of osteoarticular structures are more likely to be sensitive to sudden temperature drops.
Humans
;
Male
;
Female
;
Adult
;
Temporomandibular Joint Disorders/diagnosis*
;
Surveys and Questionnaires
;
Middle Aged
;
Young Adult
;
Temperature
;
Adolescent
7.Preliminary study on the correlation between the clinical symptoms of temporomandibular disorder with tinnitus and chewing-side preference habits.
Bowen MA ; Dongzong HUANG ; Xinyu XU ; Yihan WANG ; Xiaoxing LI ; Yifan HU ; Shuzhi YANG ; Hongbo LI ; Min HU ; Hongchen LIU ; Hua JIANG
West China Journal of Stomatology 2025;43(3):416-421
OBJECTIVES:
This study aimed to investigate the correlation between clinical symptoms and unilateral chewing habits in patients with temporomandibular disorder (TMD) accompanied by tinnitus.
METHODS:
A total of 285 patients diagnosed with TMD at the Department of Stomatology of the First Medical Center of Chinese People's Liberation Army General Hospital between December 2020 and May 2024 were included and divided into two groups: tinnitus group and non-tinnitus group. Analysis was conducted on the proportion of patients with unilateral chewing habits in both groups, the correlation between the side of tinnitus and the side of unilateral chewing, and the correlation of tinnitus with TMD clinical symptoms (joint clicking, joint pain, and limited mouth opening) and unilateral chewing habits. The correlation of the type of disc displacement with unilateral chewing and tinnitus was also examined.
RESULTS:
In the tinnitus group, the proportions of patients with and without unilateral chewing habits were 90.70% (39/43) and 9.30% (4/43), respectively. In the non-tinnitus group, the proportions of patients with and without unilateral chewing habits were 76.03% (184/242) and 23.97% (58/242), respectively. The proportion of patients with unilateral chewing habits in the tinnitus group was significantly higher than in the non-tinnitus group (χ2=4.613, P<0.05). Correlation analysis showed a positive correlation between tinnitus and unilateral chewing habits (P<0.05). In the left-sided tinnitus group, the proportion of left-sided unilateral chewers [54.55% (12/22)] was higher than that of right-sided unilateral chewers [45.45% (10/22)]. In the right-sided tinnitus group, the proportion of right-sided unilateral chewers [81.82% (9/11)] was higher than that of left-sided unilateral chewers [18.18% (2/11)]. The difference was statistically significant (χ2=7.282, P<0.05). A positive correlation was also found between the side of tinnitus and the side of unilateral chewing habits (P<0.05). The proportion of patients with pain was significantly higher in the tinnitus group than in the non-tinnitus group (P<0.05). No significant difference in the proportion of joint clicking or limited mouth opening and disc displacement (no disc displacement, unilateral disc displacement, bilateral disc displacement, reducible disc displacement, or irreducible disc displacement) was found between the tinnitus and non-tinnitus groups (P>0.05).
CONCLUSIONS
TMD with unilateral chewing habits may be a contributing factor to unexplained tinnitus. Unexplained tinnitus is correlated with joint pain in patients with TMD.
Humans
;
Tinnitus/physiopathology*
;
Temporomandibular Joint Disorders/physiopathology*
;
Mastication
;
Male
;
Adult
;
Female
;
Middle Aged
;
Habits
8.Construction and Application of Whole Process Information Management for Clinical Trial Drugs
Yiqi FAN ; Shuai HE ; Shixiang ZHENG ; Yan WANG ; Hongbo GUO ; Yanjiao MA
Herald of Medicine 2025;44(6):1004-1009
Objective To sort out the management system of clinical trial drugs in our hospital,and analyze the construction and practical experience of the information system in the whole process management of clinical trial drugs,and to further improve the efficiency and quality of clinical trials.Methods Based on the original management of clinical trial drugs,an information system in line with the situation of our hospital was applied to manage the whole process of clinical trial drugs.Results Compared with the traditional management,the information system can automatically record the data of inbound and outbound storage,distribution,retrieval and return of trial drugs in real time,pre-review the prescriptions and randomized documents of clinical trial drugs,and realise paperless office.Conclusions The information system can ensure the safety,accuracy and traceability of the data of drugs used in clinical trial.The system can also save resources,improve the efficiency and quality of clinical trial management.
9.Interpretation of the group standard for measurement technique of central venous pressure
Mingxi ZHAO ; Xin GUAN ; Hong SUN ; Hongming MA ; Yueying FENG ; Meng YU ; Dengxiu ZOU ; Hongbo LUO ; Zunzhu LI ; Jie JING ; Xinjuan WU
Chinese Journal of Nursing 2025;60(1):47-51
Central venous pressure(CVP)is a commonly used hemodynamic index in clinical practice,and the accuracy of its measurement results is influenced by the measurement technical specifications.Based on research evidence and clinical practice,this article interprets the main content of the group standard of CVP measurement technology,and proposes suggestions for its use.It aims to guide clinical nursing staff to correctly understand the principles and methods of CVP measurement,and promote the standardization of nursing practice and the accuracy of measurement results.
10.Optineurin restrains CCR7 degradation to guide type II collagen-stimulated dendritic cell migration in rheumatoid arthritis.
Wenxiang HONG ; Hongbo MA ; Zhaoxu YANG ; Jiaying WANG ; Bowen PENG ; Longling WANG ; Yiwen DU ; Lijun YANG ; Lijiang ZHANG ; Zhibin LI ; Han HUANG ; Difeng ZHU ; Bo YANG ; Qiaojun HE ; Jiajia WANG ; Qinjie WENG
Acta Pharmaceutica Sinica B 2025;15(3):1626-1642
Dendritic cells (DCs) serve as the primary antigen-presenting cells in autoimmune diseases, like rheumatoid arthritis (RA), and exhibit distinct signaling profiles due to antigenic diversity. Type II collagen (CII) has been recognized as an RA-specific antigen; however, little is known about CII-stimulated DCs, limiting the development of RA-specific therapeutic interventions. In this study, we show that CII-stimulated DCs display a preferential gene expression profile associated with migration, offering a new perspective for targeting DC migration in RA treatment. Then, saikosaponin D (SSD) was identified as a compound capable of blocking CII-induced DC migration and effectively ameliorating arthritis. Optineurin (OPTN) is further revealed as a potential SSD target, with Optn deletion impairing CII-pulsed DC migration without affecting maturation. Function analyses uncover that OPTN prevents the proteasomal transport and ubiquitin-dependent degradation of C-C chemokine receptor 7 (CCR7), a pivotal chemokine receptor in DC migration. Optn-deficient DCs exhibit reduced CCR7 expression, leading to slower migration in CII-surrounded environment, thus alleviating arthritis progression. Our findings underscore the significance of antigen-specific DC activation in RA and suggest OPTN is a crucial regulator of CII-specific DC migration. OPTN emerges as a promising drug target for RA, potentially offering significant value for the therapeutic management of RA.

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