Stress urinary incontinence is one of the common symptoms of women during pregnancy and postpartum, which has a lasting impact on the life of patients, and is also one of the public health issues of concern in the world. In this study, the generation, development, construction process, prediction performance and management application of stress urinary incontinence risk prediction models during pregnancy and postpartum were reviewed, with a view to improving the understanding of health care workers on stress urinary incontinence risk prediction models during pregnancy and postpartum, and providing references for promoting the health management of female patients.

Objective: To develop a facial image generation method based on a facial color-preserving generative adversarial network (FCP-GAN) that effectively decouples identity features from diagnostic facial complexion characteristics in traditional Chinese medicine (TCM) inspection, thereby addressing the critical challenge of privacy preservation in medical image analysis. Methods: A facial image dataset was constructed from participants at Nanjing University of Chinese Medicine between April 23 and June 10, 2023, using a TCM full-body inspection data acquisition equipment under controlled illumination. The proposed FCP-GAN model was designed to achieve the dual objectives of removing identity features and preserving colors through three key components: (i) a multi-space combination module that comprehensively extracts color attributes from red, green, blue (RGB), hue, saturation, value (HSV), and Lab spaces; (ii) a generator incorporating efficient channel attention (ECA) mechanism to enhance the representation of diagnostically critical color channels; and (iii) a dual-loss function that combines adversarial loss for de-identification with a dedicated color preservation loss. The model was trained and evaluated using a stratified 5-fold cross-validation strategy and evaluated against four baseline generative models: conditional GAN (CGAN), deep convolutional GAN (DCGAN), dual discriminator CGAN (DDCGAN), and medical GAN (MedGAN). Performance was assessed in terms of image quality [peak signal-to-noise ratio (PSNR) and structural similarity (SSIM)], distribution similarity [Fréchet inception distance (FID)], privacy protection (face recognition accuracy), and diagnostic consistency [mean squared error (MSE) and Pearson correlation coefficient (PCC)]. Results: The final analysis included facial images from 216 participants. Compared with baseline models, FCP-GAN achieved superior performance, with PSNR = 31.02 dB and SSIM = 0.908, representing an improvement of 1.21 dB and 0.034 in SSIM over the strongest baseline (MedGAN). The FID value (23.45) was also the lowest among all models, indicating superior distributional similarity to real images. The multi-space feature fusion and the ECA mechanism contributed significantly to these performance gains, as evidenced by ablation studies. The stratified 5-fold cross-validation confirmed the model’s robustness, with results reported as mean ± standard deviation (SD) across all folds. The model effectively protected privacy by reducing face recognition accuracy from 95.2% (original images) to 60.1% (generated images). Critically, it maintained high diagnostic fidelity, as evidenced by a low MSE (< 0.051) and a high PCC (> 0.98) for key TCM facial features between original and generated images. Conclusion The FCP-GAN model provides an effective technical solution for ensuring privacy in TCM diagnostic imaging, successfully having removed identity features while preserving clinically vital facial color features. This study offers significant value for developing intelligent and secure TCM telemedicine systems.

Stress urinary incontinence is one of the common symptoms of women during pregnancy and postpartum, which has a lasting impact on the life of patients, and is also one of the public health issues of concern in the world. In this study, the generation, development, construction process, prediction performance and management application of stress urinary incontinence risk prediction models during pregnancy and postpartum were reviewed, with a view to improving the understanding of health care workers on stress urinary incontinence risk prediction models during pregnancy and postpartum, and providing references for promoting the health management of female patients.

Objective To explore the impact of ventricular arterial coupling on the prognosis of patients with traumatic hemorrhagic shock(HTS).Methods 60 HTS patients who were hospitalized in the emergency and critical care departments of Nanjing Drum Tower Hospital Group Suqian Hospital from January 2020 to December 2022 were included.They were divided into survival group(n=30)and death group(n=30)based on their prognosis.The acute physiological and chronic health score Ⅱ(APACHEⅡ),sequential organ failure(SOFA)score,lactate(Lac),and central venous oxygen saturation(ScvO2)of the two groups of patients were monitored,respectively,Compare the central venous pressure(CVP),cardiac index(CI),stroke volume index(SVI),global end diastolic volume index(GEDVI),systemic vascular resistance index(SVRI),and mean arterial pressure(MAP)of two groups of patients under continuous monitoring of pulse indicator cardiac output(PiCCO),and calculate the left ventricular arterial coupling(VAC)index.Results The Lac levels in the survival group and death group were(2.31±1.29)mmol/L and(3.98±1.01)mmol/L,respectively,with statistical significance(P＜0.05);The ScvO2 values for the survival group and death group were(62.69±5.73)％and(60.3±5.35)％,respectively,with no significant statistical difference(P＞0.05);The survival group showed a statistically significant decrease in APACHE Ⅱ score[(18.57±2.23)points vs(23.00±3.15)points]and SOFA score[(9.40±2.15)points vs(14.07±2.26)points]compared to the death group(P＜0.05),with an increase in CI[(2.97±0.20)L/(min·m2)vs(2.73±0.27)L/(min·m2)],an increase in SVI[(50.11±4.31)ml/m2 vs(46.53±3.49)ml/m2],and a decrease in VAC[(1.34±0.19)vs(1.69±0.28)],and a statistically significant difference(P＜0.05),However,there was no significant statistical difference in CVP[(9.19±1.20)mmHg vs(9.35±1.53)mmHg)],GEDVI[(715.73±101.72)ml/m2 vs(717.93±89.07)ml/m2],SVRI[(2 061.55±701.23)dyn·sec·cm-5·m-2 vs(2 164.31±732.16)dyn·sec·cm-5·m-2],and MAP[(92.21±10.81)mmHg vs(89.19±17.33)mmHg]between the survival and death groups(P＞0.05);Logistic regression analysis showed that VAC(OR=1.41),Lac(OR=1.36),APACHE Ⅱ score(OR=1.25),SOFA score(OR=1.21),CI(OR=1.31),and SVI(OR=1.20)were risk factors for mortality in patients with traumatic hemorrhagic shock(P＜0.05).Conclusion VAC has a certain impact on the prognosis of patients with traumatic hemorrhagic shock.

This study aimed at conducting retrospective analysis of the clinical symptoms and genetic mutations in 20 children with Gitelman syndrome treated at the Affiliated Children′s Hospital of Nanjing Medical University from August 2015 to November 2022 and also explored the molecular mechanism of the pathogenic high-frequency mutation D486N in the Chinese population.

Objective To explore the impact of ventricular arterial coupling on the prognosis of patients with traumatic hemorrhagic shock(HTS).Methods 60 HTS patients who were hospitalized in the emergency and critical care departments of Nanjing Drum Tower Hospital Group Suqian Hospital from January 2020 to December 2022 were included.They were divided into survival group(n=30)and death group(n=30)based on their prognosis.The acute physiological and chronic health score Ⅱ(APACHEⅡ),sequential organ failure(SOFA)score,lactate(Lac),and central venous oxygen saturation(ScvO2)of the two groups of patients were monitored,respectively,Compare the central venous pressure(CVP),cardiac index(CI),stroke volume index(SVI),global end diastolic volume index(GEDVI),systemic vascular resistance index(SVRI),and mean arterial pressure(MAP)of two groups of patients under continuous monitoring of pulse indicator cardiac output(PiCCO),and calculate the left ventricular arterial coupling(VAC)index.Results The Lac levels in the survival group and death group were(2.31±1.29)mmol/L and(3.98±1.01)mmol/L,respectively,with statistical significance(P＜0.05);The ScvO2 values for the survival group and death group were(62.69±5.73)％and(60.3±5.35)％,respectively,with no significant statistical difference(P＞0.05);The survival group showed a statistically significant decrease in APACHE Ⅱ score[(18.57±2.23)points vs(23.00±3.15)points]and SOFA score[(9.40±2.15)points vs(14.07±2.26)points]compared to the death group(P＜0.05),with an increase in CI[(2.97±0.20)L/(min·m2)vs(2.73±0.27)L/(min·m2)],an increase in SVI[(50.11±4.31)ml/m2 vs(46.53±3.49)ml/m2],and a decrease in VAC[(1.34±0.19)vs(1.69±0.28)],and a statistically significant difference(P＜0.05),However,there was no significant statistical difference in CVP[(9.19±1.20)mmHg vs(9.35±1.53)mmHg)],GEDVI[(715.73±101.72)ml/m2 vs(717.93±89.07)ml/m2],SVRI[(2 061.55±701.23)dyn·sec·cm-5·m-2 vs(2 164.31±732.16)dyn·sec·cm-5·m-2],and MAP[(92.21±10.81)mmHg vs(89.19±17.33)mmHg]between the survival and death groups(P＞0.05);Logistic regression analysis showed that VAC(OR=1.41),Lac(OR=1.36),APACHE Ⅱ score(OR=1.25),SOFA score(OR=1.21),CI(OR=1.31),and SVI(OR=1.20)were risk factors for mortality in patients with traumatic hemorrhagic shock(P＜0.05).Conclusion VAC has a certain impact on the prognosis of patients with traumatic hemorrhagic shock.

Objective:To summarize the clinical characteristics of patients with coronavirus disease 2019 (COVID-19) infected with Delta variant, so as to provide further references for clinical diagnosis and treatment.Methods:A real-world study was conducted to analyze the characteristics of 166 COVID-19 patients infected with Delta variant at Guangzhou Eighth People’s Hospital, Guangzhou Medical University.Results:The study enrolled 5 asymptomatic cases, 123 non-severe cases (mild and moderate type), and 38 severe cases (severe and critical type). Among these patients, 69 (41.6%) were male and 97 (58.4%) were female, with a mean age of 47.0±23.5 years. Thirty-nine cases (23.5%) had received 1 or 2 doses of inactivated vaccine. The incidence of severe COVID-19 cases was 7.7% in 2-doses vaccinated patients, which was lower than that of 11.5% in 1-dose and 26.8% in unvaccinated patients. The proportion of severe cases in 2 dose-vaccinated patients was 7.7%, which was lower than that of 11.5% in 1-dose vaccinated patients and 26.8% in unvaccinated patients, but the difference was not significant ( P>0.05). The most common clinical symptom was fever (134 cases, 83.2%), and 39.1% of cases presented with high-grade fever (≥39 °C); other symptoms were cough, sputum, fatigue, and xerostomia. The proportion of fever in severe cases was significantly higher than that of non-severe cases (97.4% vs. 76.4%, P<0.01). Similarly, the proportion of severe cases with high peak temperature (≥39 ℃) () was also higher than that of non-severe cases (65.8% vs. 30.9%, P<0.01). The median minimal Cycle threshold (Ct) values of viral nucleic acid N gene and ORFlab gene were 20.3 and 21.5, respectively, and the minimum Ct values were 11.9 and 13.5, respectively. Within 48 h of admission, 9.0% of cases presented with decreased white blood cell counts, and 52.4% with decreased lymphocyte counts. The proportions of increased C-reactive protein, serum amyloid A, interleukin 6, and interleukin 10 were 32.5%, 57.4%, 65.3%, and 35.7%, respectively. The proportions of elevated C-reactive protein, serum amyloid A and interleukin-6 in severe cases were significantly higher than those in non-severe cases ( P<0.01). Logistic regression analysis showed that older age and higher peak temperature were associated with a higher likelihood of severe cases ( OR>3, 95% CI: 2-7, P<0.01). In terms of treatment, traditional Chinese medicine (TCM) was used in 97.6% of non-severe cases and 100% in severe cases. Other treatments included respiratory and nutritional support, immunotherapy (such as neutralizing antibodies and plasma of recovered patients). The median times from admission to progression to severe cases, of fever clearance, and of nucleic acid conversion were 5 days, 6 days and 19 days, respectively. No deaths were reported within 28 days. Conclusions:The symptoms of Delta variant infection in Guangzhou are characterized by a high proportion of fever, high peak temperature, long duration of fever, high viral load, a long time to nucleic acid conversion, and a high incidence of severe cases. The severe cases exhibit a higher percentage of elderly patients, a longer duration of fever and have a higher fever rate and a higher hyperthermia rate than non-severe cases. Age and hyperthermia are independent risk factors for progression to severe disease. The combination of TCM and Western medicine can control the progression of the disease effectively.

Objective:To explore the non-target metabonomics of serum in worker's pneumoconiosis (CWP) patients with latent tuberculosis and the biomarkers of latent tuberculosis infection of pneumoconiosis.Methods:In December 2018, 39 CWP inpatients from a hospital in Beijing were taken as subjects. The subjects were screened for latent tuberculosis using the in vitro release test of mycobacterium tuberculosis-interferon (IGRAs) test. According to the screening results, 21 positive patients with latent tuberculosis infection were selected as the latent tuberculosis group of pneumoconiosis. While 18 negative patients with CWP alone were selected as the pneumoconiosis group. Polarity components of metabolites were analyzed by UPLC-QTOF/MS. The data was processed with Progenesis QI software for multidimensional statistical analysis. Identification of structure of differential metabolites were matched through accurate mass and secondary mass spectrum. Searching the Human Metabolome Database (HMDB) , differential metabolites were imported into MetaboAnalyst 4.0 to analyze the metabolic pathways.Results:All 42 differential metabolites were screened out. Excepted for exogenous metabolites, 14 endogenous differential metabolites were identified. Compared with the pneumoconiosis group, 6 metabolites including PC [18∶4 (6Z, 9Z, 12Z, 15Z) /P-18∶1 (11Z) ], 3-Oxododecanoyl-CoA in the latent tuberculosis group were up-regulated, while 8 metabolites including the Stearoyl-CoA, (2S) -Pristanoyl-CoA were down-regulated. These results might be related to lipid, fatty acid and arachidonic acid metabolism pathways.Conclusion:There are significant differences in serum metabonomics between the patients with latent tuberculosis of pneumoconiosis and the patients with ordinary pneumoconiosis, which provide a reference for the study of biomarkers for the diagnosis of latent tuberculosis infection of pneumoconiosis.

Objective:To explore the non-target metabonomics of serum in worker's pneumoconiosis (CWP) patients with latent tuberculosis and the biomarkers of latent tuberculosis infection of pneumoconiosis.Methods:In December 2018, 39 CWP inpatients from a hospital in Beijing were taken as subjects. The subjects were screened for latent tuberculosis using the in vitro release test of mycobacterium tuberculosis-interferon (IGRAs) test. According to the screening results, 21 positive patients with latent tuberculosis infection were selected as the latent tuberculosis group of pneumoconiosis. While 18 negative patients with CWP alone were selected as the pneumoconiosis group. Polarity components of metabolites were analyzed by UPLC-QTOF/MS. The data was processed with Progenesis QI software for multidimensional statistical analysis. Identification of structure of differential metabolites were matched through accurate mass and secondary mass spectrum. Searching the Human Metabolome Database (HMDB) , differential metabolites were imported into MetaboAnalyst 4.0 to analyze the metabolic pathways.Results:All 42 differential metabolites were screened out. Excepted for exogenous metabolites, 14 endogenous differential metabolites were identified. Compared with the pneumoconiosis group, 6 metabolites including PC [18∶4 (6Z, 9Z, 12Z, 15Z) /P-18∶1 (11Z) ], 3-Oxododecanoyl-CoA in the latent tuberculosis group were up-regulated, while 8 metabolites including the Stearoyl-CoA, (2S) -Pristanoyl-CoA were down-regulated. These results might be related to lipid, fatty acid and arachidonic acid metabolism pathways.Conclusion:There are significant differences in serum metabonomics between the patients with latent tuberculosis of pneumoconiosis and the patients with ordinary pneumoconiosis, which provide a reference for the study of biomarkers for the diagnosis of latent tuberculosis infection of pneumoconiosis.

OBJECTIVE： To provide reference for promoting large-scale， standardized and high-quality planting of Chinese medicinal materials. METHODS： Through the communication by phone with the agriculture bureau of each district and county， the contact with the relevant township government and the field visit investigation during Jun. 2013-Dec. 2018 by Lanzhou institute for food and drug control， variety， area， yield and output value， cultivation techniques and processing methods of Chinese medicinal materials in the planting area of Lanzhou were investigated and statistically analyzed. The advantages and problems were analyzed， and reasonable suggestions for planting Chinese medicinal materials were put forward. RESULTS & CONCLUSIONS： In 2018， artificial planting of Chinese medicinal materials in lanzhou has a certain scale， with 21 artificial planting varieties， a total planting area of about 510 000 mu， an annual output of 170 000 tons， an annual production value of over 1.7 billion yuan. Cultivation techniques mainly include seedling transplanting， mulching or direct seeding， while drying is the main processing method. Artificial planting of Chinese medicinal materials in Lanzhou has a certain scale and prominent characteristic varieties； authenticity is guaranteed， and the combination of Chinese medicinal materials planting and tourism drives economic development. However， there are still some problems， such as a certain distance from the development of industrialization， variety degradation， backward basic research， serious natural disasters. It is suggested to strengthen its propaganda and expand its advantages， at the same time， enhance government support， develop and construct planting bases of Chinese medicinal materials， strengthen the awareness of good agricultural practice （GAP）， strengthen scientific research strengeh， explore breeding techniques of fine varieties of Chinese medicinal materials， develop insurance of Chinese medicinal materials， and guarantee the development of planting industry so as to promote large-scale， standardized and high-quality planting of Chinese medicinal materials.