ObjectiveTo optimize the water extraction process of Coptidis Rhizoma （CR） and the processing of Polygalae Radix （PR） with the water decoction of CR， and to compare chemical constituents before and after processing. MethodsWith water volume， soaking time， decocting time， and decocting times as influencing factors， and the content of berberine， epiberberine， coptisine， jatrorrhizine， and palmatine and the yield of dry extract as evaluation indexes， the orthogonal test combined with multi-index comprehensive scoring method was employed to optimize the water extraction parameters of CR. With solid-liquid ratio， stir-frying temperature， and stir-frying time as influencing factors， and the content of tenuifolin， polygalaxanthone Ⅲ， and 3，6ʹ-disinapoyl sucrose and the yield of ethanol extract as evaluation indexes， the orthogonal test combined with multi-index comprehensive scoring method was applied to optimize the processing parameters of PR with the water decoction of CR. The differential chemical constituents of PR before and after processing were analyzed by ultra-performance liquid chromatography-quadrupole-Exactive Orbitrap-mass spectrometry （UPLC-Q Exactive Orbitrap MS）. ResultsThe optimal water extraction process of CR was as follows： Decocting for 3 times， 40 min each time， with 10 times the amount of water. The optimal processing technology of PR with the water decoction of CR was a solid-liquid ratio of 1∶1.5， a stir-frying temperature of 140 ℃， and stir-frying time of 20 min. A total of 31 differential components were identified before and after processing， including 17 components of PR and 15 components of CR. After processing， 14 new components such as coptisine， berberine， and palmatine emerged， and the content of arillanin A， glomeratose A， 3，6ʹ-disinapoyl sucrose， and ferulic acid was increased. The content of other intrinsic constituents of PR， such as onjisaponin D， polygalaxanthone Ⅺ， sibiricose A3， and tenuifoliside B， was generally decreased. ConclusionThe optimized characteristic processing technology of PR with the water decoction of CR is stable and feasible. Significant differences in chemical composition were observed between raw and processed PR. Processing with the water decoction of CR can effectively reduce the gastrointestinal irritant components originally present in PR while simultaneously introducing the bioactive constituents from CR. This study provides data support for the standardization research and mechanism elucidation of the ancient characteristic processing methods of the Jinling medical school.

Objective:To explore the predictive factors for extubation in the operating room after single lung transplantation without the assistance of extracorporeal membrane oxygenation (ECMO) in adult patients with end-stage interstitial lung disease (ILD), as well as their short-term (1-year postoperative) prognosis.Methods:A retrospective analysis was conducted on the clinical data of 78 adult ILD recipients who underwent single lung transplantation without ECMO assistance at the First Affiliated Hospital of Guangzhou Medical University from June 2018 to June 2023. Based on whether extubation was completed in the operating room (OR), patients were divided into the OR group (19 cases) and ICU group (59 cases). Baseline characteristics of donors and recipients, as well as intraoperative events, were compared between the two groups. Univariate logistic regression analysis was used to identify potential predictors, and variables with P<0.2 were included in multivariate logistic regression to determine independent predictors for OR extubation. Receiver operating characteristic (ROC) curves were plotted to evaluate predictive performance. The Kaplan-Meier method was used to analyze survival, and short-term prognosis between groups was compared. Results:The rate of OR extubation after single lung transplantation in ILD recipients was 24%(19/78). Compared with the ICU group, the OR group had shorter operation times, lower fluid volumes, reduced transfusions of red blood cells and plasma, less intraoperative bleeding, and lower lactate levels 15 minutes after pulmonary artery reperfusion (all P<0.05). Univariate logistic regression analysis identified the following factors as significantly associated with OR extubation: recipient age ( P=0.100), operative time ( P=0.001), fluid infusion volume ( P=0.005), red blood cell transfusion volume ( P=0.037), plasma transfusion volume ( P=0.039), blood loss ( P=0.004), oxygenation index at 15 minutes after reperfusion ( P=0.174), and blood lactate at 15 minutes after reperfusion ( P=0.041). Multivariate analysis revealed that intraoperative blood loss was an independent predictor of OR extubation ( OR=0.993, 95% CI: 0.986 - 0.999, P=0.026). ROC curve analysis showed that blood loss had an area under the curve (AUC) of 0.822 in predicting OR extubation, with a sensitivity of 64.4% and specificity of 89.5%. Postoperatively, patients in the OR group had significantly shorter durations of mechanical ventilation [0 vs 5 (3,11) days, P<0.001], ICU stay [7(4,8) vs 9(6,20) days, P=0.012], and overall postoperative hospitalization [19 (15,23) vs 25 (19,39) days, P=0.015]. Within one year after surgery, 2 patients (11%) in the OR group and 19 patients (32%) in the ICU group had died, but the difference in 1-year survival rates between the two groups was not statistically significant. Conclusions:Intraoperative blood loss is an independent predictor of extubation in the operating room. Early extubation in non-ECMO-assisted single lung transplantation for ILD patients is associated with improved short-term outcomes.

Objective To investigate the diagnostic accuracy and clinical applicability of the Linknet-VGG16 deep learning algorithm for measuring the effective optical zone(EOZ)after corneal refractive surgery.Methods This single-center retrospective cohort study included 69 patients(69 eyes)who underwent femtosecond laser-assisted in situ kerato-mileusis(FS-LASIK)(34 eyes)or small incision lenticule extraction(SMILE)(35 eyes)at the Refractive Surgery Center of Affiliated Zhengzhou Aier Eye Hospital of Henan University from June 2023 to June 2024.Data from the right eyes of all patients were selected for statistical analysis.During the surgery,patients in the FS-LASIK group adopted the VisuMax fem-tosecond laser system combined with the Amaris 750S excimer laser system,while those in the SMILE group only used the VisuMax femtosecond laser system.A total of 276 Pentacam images were re-examined postoperatively.A Linknet segmenta-tion model based on the VGG16 encoder was constructed,and image normalization techniques were applied to accelerate model convergence.Model performance was assessed using accuracy,intersection over union(IoU),and the Dice coeffi-cient.The traditional EOZ measurement method based on corneal tangential curvature served as the reference standard.Bland-Altman analysis was conducted to evaluate consistency across all images and within each group,and the time effi-ciency of both methods was compared.Results Six representative medical image segmentation architectures(U-Net,U-Net++,DeepLabv3-ResNet50,DeepLabv3+-ResNet50,Unet-Densenet169,and Linknet-VGG16)were systematically evaluated.The Linknet-VGG16 model demonstrated superior performance over the other 5 models in pixel-level accuracy,IoU and Dice coefficient,which were 99.83％,99.48％and 99.74％,respectively.Although there was no significant differ-ence in accuracy and Dice coefficient between Linknet-VGG16 and U-Net models(whose accuracy was 99.82％and Dice coefficient was 99.72％),the inference speed of the U-Net model(62.46 ms)was 31.76％slower than that of the Linknet-VGG16 model(42.62 ms).The evaluation results of a clinically applicable comprehensive scoring model(weights:accura-cy 20％,IoU 20％,Dice coefficient 20％,speed 25％,model size 15％)showed that the Linknet-VGG16 model achieved a score of 88.01,surpassing other architectures(U-Net:86.29;DeepLabv3+-ResNet50:80.41;DeepLabv3-ResNet50:73.82;U-Net++:73.22;Unet-Densenet169:66.66).Bland-Altman analysis revealed that the mean difference of the 136 images in the FS-LASIK group was 0.01 mm[95％limits of agreement(LoA):-0.36 to 0.35 mm],with 96.3％of data points falling within the LoA.The mean difference of the 140 images in the SMILE group was-0.01 mm(95％LoA:-0.36 to 0.33 mum),with 95.7％of data points falling within the LoA.The mean difference of all 276 images was 0.00 mm(95％LoA:-0.36 to 0.34 mm),with 96.4％of data points falling within the LoA.These results indicated excellent consistency.The average measurement time per image using the traditional EOZ measurement method was 13.00 minutes,whereas the deep learning model required only 3.22 seconds.Conclusion The traditional EOZ measurement method based on corne-al tangential curvature exhibits good consistency with the fully automatic EOZ measurement method based on deep learning algorithms,achieving high image recognition accuracy.Additionally,the deep learning algorithm significantly reduces measurement time,compared with the traditional method based on corneal tangential curvature.

Objective:To explore the predictive factors for extubation in the operating room after single lung transplantation without the assistance of extracorporeal membrane oxygenation (ECMO) in adult patients with end-stage interstitial lung disease (ILD), as well as their short-term (1-year postoperative) prognosis.Methods:A retrospective analysis was conducted on the clinical data of 78 adult ILD recipients who underwent single lung transplantation without ECMO assistance at the First Affiliated Hospital of Guangzhou Medical University from June 2018 to June 2023. Based on whether extubation was completed in the operating room (OR), patients were divided into the OR group (19 cases) and ICU group (59 cases). Baseline characteristics of donors and recipients, as well as intraoperative events, were compared between the two groups. Univariate logistic regression analysis was used to identify potential predictors, and variables with P<0.2 were included in multivariate logistic regression to determine independent predictors for OR extubation. Receiver operating characteristic (ROC) curves were plotted to evaluate predictive performance. The Kaplan-Meier method was used to analyze survival, and short-term prognosis between groups was compared. Results:The rate of OR extubation after single lung transplantation in ILD recipients was 24%(19/78). Compared with the ICU group, the OR group had shorter operation times, lower fluid volumes, reduced transfusions of red blood cells and plasma, less intraoperative bleeding, and lower lactate levels 15 minutes after pulmonary artery reperfusion (all P<0.05). Univariate logistic regression analysis identified the following factors as significantly associated with OR extubation: recipient age ( P=0.100), operative time ( P=0.001), fluid infusion volume ( P=0.005), red blood cell transfusion volume ( P=0.037), plasma transfusion volume ( P=0.039), blood loss ( P=0.004), oxygenation index at 15 minutes after reperfusion ( P=0.174), and blood lactate at 15 minutes after reperfusion ( P=0.041). Multivariate analysis revealed that intraoperative blood loss was an independent predictor of OR extubation ( OR=0.993, 95% CI: 0.986 - 0.999, P=0.026). ROC curve analysis showed that blood loss had an area under the curve (AUC) of 0.822 in predicting OR extubation, with a sensitivity of 64.4% and specificity of 89.5%. Postoperatively, patients in the OR group had significantly shorter durations of mechanical ventilation [0 vs 5 (3,11) days, P<0.001], ICU stay [7(4,8) vs 9(6,20) days, P=0.012], and overall postoperative hospitalization [19 (15,23) vs 25 (19,39) days, P=0.015]. Within one year after surgery, 2 patients (11%) in the OR group and 19 patients (32%) in the ICU group had died, but the difference in 1-year survival rates between the two groups was not statistically significant. Conclusions:Intraoperative blood loss is an independent predictor of extubation in the operating room. Early extubation in non-ECMO-assisted single lung transplantation for ILD patients is associated with improved short-term outcomes.

Objective:To explore the distribution characteristics of HBsAg levels in treatment-na?ve and treatment-experienced patients with chronic hepatitis B (CHB) in China.Methods:Data were obtained from the China Registry of Hepatitis B (CR-HepB) platform from the establishment of the platform to April 11, 2024. Patients with CHB who were treatment-na?ve and treatment-experienced with nucleos(t)ide analogs (NAs) were included. Relevant clinical data were collected. The distribution of hepatitis B surface antigen (HBsAg) status, as well as the levels in populations of different age groups after different antiviral treatment durations, were retrospectively analyzed. Normally and non-normally distributed measured data were represented by Mean± SD, and M( Q1, Q3). Results:A total of 13 505 treatment-na?ve patients and 6 390 treatment-experienced patients were included in the analysis. The proportions of treatment-na?ve patients with HBsAg<100, <500, and <1 500 IU/mL were 10.51%, 28.47%, and 46.85%, and the corresponding proportions of treatment-experienced patients were 12.88%, 29.84%, and 52.07%. The proportions of treatment-na?ve patients with HBsAg levels≥1 500, ≥3 000, and≥8 000 IU/mL were 53.15%, 38.17%, and 15.62%, and the corresponding proportions of treatment-experienced patients were 47.93%, 31.77%, and 10.39%. HBsAg level showed a trend of gradual decrease with the increase of antiviral treatment time. The proportion of treatment-experienced patients with HBsAg<100 IU/mL increased from 12.73% when the treatment duration was less than three years to 26.92% when the treatment duration was≥10 years, while the proportion of patients with HBsAg levels≥3 000 IU/mL or≥8 000 IU/mL decreased from 34.66% to 23.08% and from 12.19% to 5.77%, respectively. The proportion of patients with HBsAg<100, <500, and<1 500 IU/mL increased with age, while the proportion of patients with HBsAg≥1 500, ≥3 000, and ≥8 000 IU/mL decreased sequentially.Conclusions:The CR-HepB platform provides a basis for clarifying the serum HBsAg levels in treatment-na?ve and treatment-experienced CHB patients in China. The HBsAg status indicates that with a prolonged antiviral treatment duration, there is a gradual decline trend in HBsAg level.

Objective To analyze the clinical characteristics of recipients with interstitial lung disease (ILD) who underwent second lung transplantation and summarize the diagnostic and therapeutic experience. Methods A retrospective analysis was conducted on the clinical data of 14 patients who underwent first and second lung transplants for ILD at the First Affiliated Hospital of Guangzhou Medical University from January 2015 to December 2024. The preoperative conditions, intraoperative events, postoperative treatments and prognoses of the first and second lung transplantation were compared, and the postoperative survival of ILD patients after the second lung transplantation was analyzed. Results Among the 14 recipients of the second lung transplant, 13 underwent the procedure due to chronic lung allograft dysfunction, and 1 due to airway complications. The median interval time from the first to the second lung transplant was 32 (2, 80) months. Before the second transplantation, 2 recipients required endotracheal intubation and mechanical ventilation, and 2 required endotracheal intubation, mechanical ventilation, and extracorporeal membrane oxygenation (ECMO) support. The surgical time for the second lung transplantation was longer than that for the first, with increased intraoperative red blood cell and plasma transfusion volumes, the proportion of ECMO support during the second lung transplantation was higher than that during the first (all P<0.05). However, the cold ischemia time for one-sided lung transplant completion in the first lung transplant was similar to that in the second lung transplantation (P>0.05). The median follow-up time after the second lung transplantation was 32 (1, 63) months. The 1-month, 6-month and 1-year survival rates after the second lung transplantation were 79%, 57% and 50%, respectively, with causes of death being infection, multiple organ failure and gastrointestinal bleeding. Conclusions For ILD patients undergoing second lung transplantation after the first lung transplantation, the second lung transplantation is more challenging, with longer surgical time and higher intraoperative blood loss. It requires higher surgical skills and perioperative management. Non-emergency second transplantation may still achieve good results.

Objective To investigate the diagnostic accuracy and clinical applicability of the Linknet-VGG16 deep learning algorithm for measuring the effective optical zone(EOZ)after corneal refractive surgery.Methods This single-center retrospective cohort study included 69 patients(69 eyes)who underwent femtosecond laser-assisted in situ kerato-mileusis(FS-LASIK)(34 eyes)or small incision lenticule extraction(SMILE)(35 eyes)at the Refractive Surgery Center of Affiliated Zhengzhou Aier Eye Hospital of Henan University from June 2023 to June 2024.Data from the right eyes of all patients were selected for statistical analysis.During the surgery,patients in the FS-LASIK group adopted the VisuMax fem-tosecond laser system combined with the Amaris 750S excimer laser system,while those in the SMILE group only used the VisuMax femtosecond laser system.A total of 276 Pentacam images were re-examined postoperatively.A Linknet segmenta-tion model based on the VGG16 encoder was constructed,and image normalization techniques were applied to accelerate model convergence.Model performance was assessed using accuracy,intersection over union(IoU),and the Dice coeffi-cient.The traditional EOZ measurement method based on corneal tangential curvature served as the reference standard.Bland-Altman analysis was conducted to evaluate consistency across all images and within each group,and the time effi-ciency of both methods was compared.Results Six representative medical image segmentation architectures(U-Net,U-Net++,DeepLabv3-ResNet50,DeepLabv3+-ResNet50,Unet-Densenet169,and Linknet-VGG16)were systematically evaluated.The Linknet-VGG16 model demonstrated superior performance over the other 5 models in pixel-level accuracy,IoU and Dice coefficient,which were 99.83％,99.48％and 99.74％,respectively.Although there was no significant differ-ence in accuracy and Dice coefficient between Linknet-VGG16 and U-Net models(whose accuracy was 99.82％and Dice coefficient was 99.72％),the inference speed of the U-Net model(62.46 ms)was 31.76％slower than that of the Linknet-VGG16 model(42.62 ms).The evaluation results of a clinically applicable comprehensive scoring model(weights:accura-cy 20％,IoU 20％,Dice coefficient 20％,speed 25％,model size 15％)showed that the Linknet-VGG16 model achieved a score of 88.01,surpassing other architectures(U-Net:86.29;DeepLabv3+-ResNet50:80.41;DeepLabv3-ResNet50:73.82;U-Net++:73.22;Unet-Densenet169:66.66).Bland-Altman analysis revealed that the mean difference of the 136 images in the FS-LASIK group was 0.01 mm[95％limits of agreement(LoA):-0.36 to 0.35 mm],with 96.3％of data points falling within the LoA.The mean difference of the 140 images in the SMILE group was-0.01 mm(95％LoA:-0.36 to 0.33 mum),with 95.7％of data points falling within the LoA.The mean difference of all 276 images was 0.00 mm(95％LoA:-0.36 to 0.34 mm),with 96.4％of data points falling within the LoA.These results indicated excellent consistency.The average measurement time per image using the traditional EOZ measurement method was 13.00 minutes,whereas the deep learning model required only 3.22 seconds.Conclusion The traditional EOZ measurement method based on corne-al tangential curvature exhibits good consistency with the fully automatic EOZ measurement method based on deep learning algorithms,achieving high image recognition accuracy.Additionally,the deep learning algorithm significantly reduces measurement time,compared with the traditional method based on corneal tangential curvature.

Objective:To explore the distribution characteristics of HBsAg levels in treatment-na?ve and treatment-experienced patients with chronic hepatitis B (CHB) in China.Methods:Data were obtained from the China Registry of Hepatitis B (CR-HepB) platform from the establishment of the platform to April 11, 2024. Patients with CHB who were treatment-na?ve and treatment-experienced with nucleos(t)ide analogs (NAs) were included. Relevant clinical data were collected. The distribution of hepatitis B surface antigen (HBsAg) status, as well as the levels in populations of different age groups after different antiviral treatment durations, were retrospectively analyzed. Normally and non-normally distributed measured data were represented by Mean± SD, and M( Q1, Q3). Results:A total of 13 505 treatment-na?ve patients and 6 390 treatment-experienced patients were included in the analysis. The proportions of treatment-na?ve patients with HBsAg<100, <500, and <1 500 IU/mL were 10.51%, 28.47%, and 46.85%, and the corresponding proportions of treatment-experienced patients were 12.88%, 29.84%, and 52.07%. The proportions of treatment-na?ve patients with HBsAg levels≥1 500, ≥3 000, and≥8 000 IU/mL were 53.15%, 38.17%, and 15.62%, and the corresponding proportions of treatment-experienced patients were 47.93%, 31.77%, and 10.39%. HBsAg level showed a trend of gradual decrease with the increase of antiviral treatment time. The proportion of treatment-experienced patients with HBsAg<100 IU/mL increased from 12.73% when the treatment duration was less than three years to 26.92% when the treatment duration was≥10 years, while the proportion of patients with HBsAg levels≥3 000 IU/mL or≥8 000 IU/mL decreased from 34.66% to 23.08% and from 12.19% to 5.77%, respectively. The proportion of patients with HBsAg<100, <500, and<1 500 IU/mL increased with age, while the proportion of patients with HBsAg≥1 500, ≥3 000, and ≥8 000 IU/mL decreased sequentially.Conclusions:The CR-HepB platform provides a basis for clarifying the serum HBsAg levels in treatment-na?ve and treatment-experienced CHB patients in China. The HBsAg status indicates that with a prolonged antiviral treatment duration, there is a gradual decline trend in HBsAg level.

Objective:To explore the relative concentration changes of oxygenated hemoglobin (Oxy Hb) in the prefrontal cortex (PFC) and brain region activation during emotional face recognition tasks in women with perimenopausal depression.Methods:From February to April 2023, forty perimenopausal women were recruited, including 20 women with perimenopausal depression (experimental group) and 20 women with non-perimenopausal depression (control group). All participants were evaluated by the modified Kupperman score, 24-item Hamilton depression scale (HAMD-24), and patient health questionnaire (PHQ-9). Functional near-infrared spectroscopy (fNIRS) equipment was used to measure the relative concentration of Oxy-Hb in the PFC in two groups under the emotional face recognition task. Statistical analysis was performed by SPSS 26.0 software. Data were analyzed by a t-test, rank sum test, and Pearson correlation. Results:There were statistically significant differences in the results of the modified Kupperman score((23.20±3.66), (18.10±1.28)), HAMD-24((15.95±5.47), (3.35±1.84)), and PHQ-9(7.00(5.00, 10.75), 1.50(1.00, 3.00)) scales between the the experimental group and control group ( P<0.05). There was a positive correlation between the modified Kupperman score and the HAMD-24 score in the experimental group ( r=0.685, P=0.01). The reaction time of the experimental group in identifying negative and neutral emotional faces was statistically significant compared to the control group( t=4.01, 4.80, both P<0.05). Compared with identifying neutral emotions, PFC activation was stronger in the experimental group and control group when identifying negative emotions ( P<0.05). The PFC activation in the experimental group was stronger than that in the control group when identifying negative emotions ( P<0.05). There was no statistically significant difference in the activation level between the two groups when identifying neutral emotions ( P>0.05). Conclusion:Women with perimenopausal depression exhibit specificity in emotional processing, with increased PFC activation when identifying negative emotions, impaired emotional processing function of PFC, and dysfunction of aerobic metabolism.