ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

Polypoidal choroidal vasculopathy(PCV)is one of the important subtypes of neovascular age-related macular degeneration(nARMD), which causes severe vision loss. It is necessary to distinguish PCV from other nARMD subtypes to guide the clinical treatment plans and predict disease outcomes. In recent years, artificial intelligence(AI)has been widely used in the diagnosis and research of ophthalmic diseases. By utilizing machine learning or deep learning combined with examination images in disease classification, lesion segmentation, and quantitative assessment, etc. This article reviews the recent applications of AI in the differential diagnosis of PCV through various examination images, the segmentation and quantification of biomarkers, as well as the prediction of genotype, response to anti-vascular endothelial growth factor(VEGF)therapy, and the short-term risk of vitreous hemorrhage. It summarizes the difficulties and challenges in clinical practice of AI and looks forward to the advantages and development trends of AI in PCV applications in the future. The article aims to provide more information for further research and application, thereby improving the diagnostic rate of PCV, optimizing treatment plans, and improving patients' visual prognosis.

Polypoidal choroidal vasculopathy(PCV)is one of the important subtypes of neovascular age-related macular degeneration(nARMD), which causes severe vision loss. It is necessary to distinguish PCV from other nARMD subtypes to guide the clinical treatment plans and predict disease outcomes. In recent years, artificial intelligence(AI)has been widely used in the diagnosis and research of ophthalmic diseases. By utilizing machine learning or deep learning combined with examination images in disease classification, lesion segmentation, and quantitative assessment, etc. This article reviews the recent applications of AI in the differential diagnosis of PCV through various examination images, the segmentation and quantification of biomarkers, as well as the prediction of genotype, response to anti-vascular endothelial growth factor(VEGF)therapy, and the short-term risk of vitreous hemorrhage. It summarizes the difficulties and challenges in clinical practice of AI and looks forward to the advantages and development trends of AI in PCV applications in the future. The article aims to provide more information for further research and application, thereby improving the diagnostic rate of PCV, optimizing treatment plans, and improving patients' visual prognosis.

AIM: To quantitatively evaluate the clinical characteristics of haze after transepithelial photorefractive keratectomy(TPRK)for astigmatism using corneal densitometry.METHODS:In this retrospective clinical study, a total of 74 patients(106 eyes)with astigmatism ≥1.25 D who underwent TPRK in our hospital from October 2022 to December 2024 were continuously collected. All of the study subjects were divided into transparent group(65 eyes)and haze group(41 eyes)based on whether haze occurred after surgery. Pentacam examination was performed before and after surgery, and corneal densitometry was recorded at the time points of preoperation, 1 mo postoperation in the transparent group and the most severe haze degree in the haze group. The collected corneal densitometry included the average densitometry of the entire corneal layer in the central 2 mm, 2-6 mm, and 6-10 mm areas, as well as the average densitometry of the entire layer of the corneal section in the center 6 mm of the astigmatism axis(astigmatism expressed in negative cylindrical form)and orthogonal axis(the axis perpendicular to the astigmatism axis), and the average densitometry of the entire layer of the corneal section in the nasal and temporal 2-6 mm areas of the astigmatism axis in the haze group of patients with regular astigmatism. The change in corneal densitometry after surgery compared with that before surgery was calculated.RESULTS:There was no statistically significant difference in baseline data such as gender, age, and spherical equivalent between the transparent group and the haze group(all P>0.05). The change in corneal densitometry in the 2-6 mm area of the haze group was greater than that in the transparent group(Z=-2.226, P=0.026), while there was no significant difference in the change of corneal densitometry in the central 2 mm and 6-10 mm areas between the two groups(both P>0.05). There was no significant difference in the change of corneal densitometry between the transparent group and haze group along the orthogonal axis(all P>0.05), while the change of corneal densitometry in the haze group along the astigmatism axis was greater than that in the transparent group(Z=-2.371, P=0.018). The temporal corneal densitometry of patients with regular astigmatism in the haze group after surgery was higher than that of the nasal side, and the change in corneal densitometry was also greater than that of the nasal side(Z=-4.288, P<0.001; Z=-4.043, P<0.001).CONCLUSION:Unlike spherical correction for myopia and hyperopia, haze after TPRK for astigmatism was mainly manifested in the peripheral cutting area of the astigmatism axis, and patients with regular astigmatism had a higher probability or severity of haze on the temporal side of the astigmatism axis than on the nasal side.

Objective To explore the application value of CT classification of lumbar spinal stenosis(LSS)in selecting endoscopic decompression surgery approach.Methods The clinical data and CT imaging materials of 300 patients with LSS,who received percutaneous endoscopic decompression surgery from March 2018 to December 2024 were selected from Hengshui Municipal People's Hospital in Hebei(Halison International Peace Hospital),were retrospectively analyzed.Preoperative CT scan was performed in all patients.Taking endoscopic classification as the golden standard,the consistency between CT classification results and endoscopic classification results was assessed by Kappa consistency analysis.The effect of surgery of different approaches for percutaneous endoscopic decompression surgery was compared.Results CT diagnostic classification of type Ⅰ LSS was obtained in 87 patients(among them 3 patients with type Ⅲ LSS were misdiagnosed as type Ⅰ LSS),type Ⅱ LSS in 141 patients and type ⅢLSS in 72 patients,the total diagnostic accuracy rate was 97.67％.Using endoscopic classification as the gold standard,the Kappa values for CT diagnosis of type Ⅰ,type Ⅱ and type Ⅲ were 0.975,1.000 and 0.973,respectively.According to the CT classification results,all 300 patients successfully selected different surgical approaches to complete the surgery,and their clinical symptoms were significantly relieved without significant complications.After surgery,the Oswestry disability index(ODI)and visual analogue scale(VAS)scores of leg/lower back in patients with different LSS types showed a decreasing trend(P＜0.05).After treatment,the total frequency of taking non-steroidal drugs was significantly lower than that before surgery(P＜0.05).Conclusion The classification of LSS is highly consistent between CT scan and endoscopic examination,which is of great value for the selection of percutaneous endoscopic decompression surgery approach.

Objective: To analyze the epidemiological characteristics and changing trends of non suicidal self injury (NSSI) behaviors among middle school students in Jiading District of Shanghai, from 2015 to 2023, so as to provide a basis for the development of NSSI prevention and control measures among students. Methods: Using a stratified cluster random sampling method, a total of five times for Shanghai Adolescent Health Risk Behavior Surveys were conducted for every two years in Jiading District of Shanghai from 2015 to 2023. A total of 5 231 middle school students from junior high schools and senior high schools were selected for questionnaire surveys. Intergroup comparisons were performed using the x 2 test or the χ 2 trend test, and the JointPoint 5.0 software was used to analyze the changing trends, with the annual percent change (APC) used for evaluation. A binary Logistic regression model was employed to analyze the related factors of NSSI behavior among middle school students. Results: In 2023, the reported NSSI rate among middle school students in Jiading District was 14.2%. The rate was significantly higher among junior high school students (17.1%) than that among senior high school students (11.1%), and higher among females (19.2%) than that among males (10.0%) ( χ 2=10.04, 23.21, both P <0.01). From 2015 to 2023, the overall reported NSSI rate showed an increasing trend, rising from 8.6% in 2015 to 14.2% in 2023 ( χ 2 trend =22.25), with an APC of 6.64% ( t =3.49), and the APC for girls was 9.79 % ( t =3.20) (all P <0.05). Among students reporting NSSI, the proportion experiencing ≥6 episodes increased from 10.8% in 2015 to 19.2% in 2023 ( χ 2 trend =6.57, P <0.05). Multivariate Logistic regression analysis indicated that girls, junior high school students, those with insomnia, depressive emotion and drinkers had higher risks of NSSI, compared to boys, senior high school students, those without insomnia, non depressive emotion students and non drinkers ( OR =1.71, 1.96, 3.44, 4.76, 1.77, all P < 0.05 ). Conclusions The reported rate of NSSI among middle school students in Jiading District of Shanghai, increased annually from 2015 to 2023, and the proportion of repeated NSSI also showed an upward trend. Early intervention measures targeting middle school students, especially junior high school students and females, should be implemented to prevent and control its occurrence and development.

Objective To systematically assess the efficacy and safety of combining acupoint massage with lactulose for constipation treatment.Methods Randomized controlled trials on the effects of acupressure combined with lactulose on constipation were searched in PubMed,Web of Science,Cochrane Library,Embase,China National Knowledge Infrastructure,SinoMed,VIP and Wanfang Data Knowledge Service Platform.The search timeframe was from the establishment of the database to July 2024,and Meta-analysis was performed using RevMan5.3 and Stata15.1 software.Results A total of 8 randomized controlled trials including 675 study participants were included.Meta-analysis showed that the acupoint massage combined with lactulose group was superior to control group in terms of total effective rate,abdominal distension score,and constipation quality of life score.Furthermore,its recurrence rate was lower than that of control group.Both groups showed no statistically significant difference in adverse reactions(P＞0.05).Conclusion Acupressure combined with lactulose can effectively improve the efficiency and quality of life in the treatment of constipation,and can be safe.Due to the limitation of the quantity and quality of the included literature,more high-quality studies with long-term follow-up are still needed to supplement and validate the above conclusions in the future.

Objective:To explore the differences in clinical efficacy between Co-Cr-Mo guided multidirectional sliding growing rod technology (CMSG) and traditional growing rod in the treatment of neurofibromatosis type 1 dysplastic early-onset scoliosis.Methods:A retrospective analysis was conducted on the data of 20 patients with neurofibromatosis type 1 dysplastic early-onset scoliosis who underwent surgical treatment in the Scoliosis Department of Zhengzhou Orthopaedic Hospital Affiliated to Henan University from January 2010 to July 2022. There were 10 patients in the traditional rod group (treated with traditional growing rod surgery) and 10 patients in the CMSG group (treated with CMSG technology). All patients were ≤10 years old and had a Cobb angle ≥45°. The number of surgeries and the occurrence of complications were recorded. The Cobb angle of the main scoliotic curve, the Cobb angle of kyphosis from T 5 to T 12, and the height from T 1 to S 1 were measured from the imaging data to evaluate the correction of deformity and spinal growth. Results:There were no significant differences in age, gender, follow - up time, preoperative Cobb angle, and preoperative Cobb angle of kyphosis from T 5-T 12 between the CMSG group and the TGR group ( P>0.05). The number of surgeries 1.3±0.67 and the total medical cost 91, 100±34, 700 yuan in the CMSG group were lower than those in the TGR group (5.3±1.77 times and 155, 800±45, 900 yuan], and the differences were statistically significant ( t=6.687, P<0.001; t=3.558, P=0.002). The Cobb angles of the main curve before surgery, after the first surgery, and at the last follow - up in the CMSG group were 69.7°±17.8°, 19.8°±9.7°, and 24.4°±9.0° respectively, while those in the TGR group were 62.0°±11.1°, 32.1°±11.4°, and 33.3°±11.6° respectively. The differences in Cobb angles after the first surgery and at the last follow-up between the two groups were statistically significant ( t=2.633, P=0.017; t=2.313, P=0.033). The Cobb angles of kyphosis from T 5 to T 12 before surgery, after the first surgery, and at the last follow - up in the CMSG group were 40.0°±24.2°, 21.0°±6.0°, and 33.6°±9.3° respectively, while those in the TGR group were 31.3°±14.5°, 26.3°±10.5°, and 32.3°±17.2° respectively. There were no significant differences in the Cobb angles of kyphosis from T 5 to T 12 after the first surgery and at the last follow-up between the two groups ( t=1.383, P=0.184; t=0.243, P=0.811). The heights from T 1 to S 1 before surgery, after the first surgery, and at the last follow-up in the CMSG group were 30.5±3.4 cm, 33.7±3.3 cm, and 37.9±4.8 cm respectively, with an annual increase of 1.18±0.39 cm. The heights from T 1 to S 1 in the TGR group were 29.1±3.0 cm, 31.4±2.9 cm, and 36.3±3.5 cm respectively, with an annual increase of 1.25±0.23 cm. There was no significant difference in the annual growth height of T 1-S 1 between the two groups ( t=1.367, P=0.189). During the follow-up period, 3 patients in the CMSG group had 3 complications: 1 case of coronal plane trunk decompensation, 1 case of rod fracture, and 1 case of distal junctional kyphosis. In the TGR group, 7 patients had 8 complications: 2 cases of wound rupture, 3 cases of screw loosening, 1 case of distal addition phenomenon, 1 case of proximal addition phenomenon, and 1 case of rod fracture. Conclusion:The Co-Cr-Mo guided multidirectional sliding growing rod technique is safe and effective in treating type 1 neurofibromatosis with malnutrition type early-onset scoliosis. It can effectively control the progression of spinal deformities,preserve the growth ability of the spine, and have a low overall incidence of complications.

Objective:To explore the relationship between early fecal calprotectin (FC) level and the long-term efficacy of infliximab (IFX) in the treatment of Crohn′s disease (CD) and predictive the value.Methods:From January 2018 to December 2023, at the First Affiliated Hospital with Nanjing Medical University, the clinical data of patients with moderate-to-severe CD who received IFX as first-line therapy were retrospectively collected. The main outcomes were clinical and endoscopic remission at week 52 after IFX treatment, and the secondary outcome was clinical response at week 14 after IFX treatment. The predictive value of FC levels at week 0 (at baseline when first administered) and week 14 of treatment was evaluated for the clinical and endoscopic remission at week 52 after IFX treatment. Multivariate logistic regression was performed to investigate the factors predicting endoscopic remission. The optimal cutoff value was calculated, model was established, the data was divided into training set and validation set at a ratio of 7∶3 using the random number table method and the corresponding column chart was drawn. Receiver operating characteristic curve (ROC) and calibration curve were used to evaluate the discrimination and calibration of the model, respectively. Mann-Whitney U test was used for statistical comparison. Results:A total of 165 patients with CD were enrolled, of whom 150 cases (90.9%) achieved clinical response after induction therapy, and 15 cases (9.1%) were primary non-response. Among the 150 patients with clinical response, 112 cases (74.7%) achieved clinical remission at week 52 after treatment, while 38 cases (25.3%) did not achieve clinical remission. Endoscopic evaluation was performed at week 52 after treatment in 139 patients, of whom 54 cases (38.8%) achieved endoscopic remission and 85 cases (61.2%) did not. At week 14 of treatment, there was no statistically significant difference in FC level between the patients achieved and did not achieve clinical response (263.24 (93.96, 675.28) μg/g vs. 556.35 (245.77, 953.56) μg/g, P>0.05). At week 52 after treatment, the FC level of patients who achieved clinical remission was lower than that of patients did not achieve(103.20(44.11, 456.57) μg/g vs. 531.26(222.06, 998.40) μg/g) and the decreased value of FC at week 52 and week 0 after treatment of patients achieved clinical remission was more than that of patients did not achieve clinical remission (443.34 (82.25, 788.95) μg/g vs. 269.91 (-79.20, 522.54) μg/g), and the differences were statistically significant ( U=1 078.00, 2 677.00; P<0.001, =0.018). At week 52 after treatment, the FC level of patients achieved endoscopic remission was lower than that of patients did not achieve endoscopic remission (52.80(31.93, 83.47) μg/g vs. 506.18(217.44, 778.02) μg/g), and the decreased value of FC at week 52 and week 0 after treatment of patients achieved endoscopic remission was more than that of patients did not achieve endoscopic remission (428.85(140.20, 863.60) μg/g vs. 309.61(-62.37, 683.82) μg/g), and the differences were statistically significant ( U=500.00, 2 812.00; P<0.001, =0.025). The FC level at week 14 of treatment could predict the clinical and endoscopic remission at week 52 after treatment (area under the curve (AUC) =0.663, 0.773; 95% confidence interval (95% CI): 0.566 to 0.760, 0.694 to 0.852; P=0.006, <0.001). The optimal cutoff value of FC at week 14 of treatment for predicting endoscopic remission at week 52 after treatment was 246.13 μg/g, with a sensitivity of 0.741 and a specificity of 0.671. The results of multivariate logistic regression analysis revealed that FC ≤ 246.13 μg/g at week 14 of treatment ( OR=4.576, 95% CI: 2.021 to 10.363, P<0.001), baseline albumin ( OR=1.093, 95% CI: 1.006 to 1.188, P=0.035), and baseline platelet-to-lymphocyte ratio (PLR) ( OR=0.995, 95% CI: 0.990 to 1.000, P=0.046) were independent influencing factors of endoscopic remission at week 52 after treatment. A predictive model for endoscopic remission at week 52 after IFX treatment was established based on FC ≤ 246.13 μg/g at week 14 of treatment, baseline albumin and PLR. The results of ROC analysis showed that this model had good discriminative ability, with an AUC of 0.780 (95% CI: 0.700 to 0.878) in the validation set, with a sensitivity of 0.812 and a specificity of 0.760. The results of calibration curve analysis demonstrated that the average absolute error of the prediction model in the validation set was 0.038, and the consistency between the predicted probability and the actual probability was good. Conclusion:FC ≤ 246.13 g/g at week 14 of IFX treatment has good predictive value for endoscopic remission at week 52 after treatment in CD patients.