Objective:To explore the distribution of Traditional Chinese Medicine constitution among patients with impaired awareness of hypoglycemia (IAH) and identify risk factors for IAH in patients with diabetes mellitus, to develop a risk prediction model. The aim is to validate the models′ predictive accuracy to facilitate early prevention and treatment of IAH.Methods:A case control study employing convenience sampling model was conducted on 1351 hospitalized patients with diabetes mellitus in the endocrinology departments of Changshu Hospital Affiliated to Nanjing University of Chinese Medicine and Affiliated Hospital of Jiangsu University, between August 2021 and December 2023. Traditional Chinese medicine constitution types were determined using the Traditional Chinese Medicine Constitution Classification and Judgment (ZYYXH/T157-2009). Data were divided into training and test sets at a ratio of 7∶3. Two prediction models were developed: Model 1, a conventional IAH prediction model for patients with diabetes mellitus, and Model 2, an IAH prediction model for patients with diabetes mellitus incorporating traditional Chinese medicine constitution. Nomograms were drawn for both models. The Hosmer-Lemeshow goodness-of-fit test, calibration curve, receiver operating characteristic (ROC) curve, and area under the curve (AUC) were calculated to evaluate the effectiveness of models 1 and 2. The improvement in prediction performance between Models 1 and 2 was assessed using Delong test, AUC, net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA).Results:The study included 1 283 patients with diabetes mellitus, including 578 males and 705 females, aged (59.61 ± 14.09) years. The incidence of IAH among patients with diabetes mellitus was 20.50% (263/1283), with yang deficiency constitution being the most prevalent traditional Chinese medicine constitution type, at 47.53% (125/263). Multivariate analysis revealed that age, body mass index, course of diabetes, neurological hypoglycemia symptoms, hypoglycemia symptoms and severe hypoglycemia history were the influencing factors of Model 1 (all P<0.05); age, body mass index, neurological hypoglycemic symptoms, hypoglycemic symptoms, history of severe hypoglycemia, and traditional Chinese medicine constitution were the influencing factors of Model 2 (all P<0.05). The Hosmer-Lemeshow goodness-of-fit test showed a good fit of Model 2 [training set ( χ2=8.48, P>0.05), test set ( χ2=3.92, P>0.05)]. The Delong test results showed that the AUC for Model 2 was 0.96 for both the training and test sets, significantly higher than the AUCs of the 0.90 and 0.91 for Model 1 ( Z=-7.27, -3.70, both P<0.01). Furthermore, NRI was 0.66 ( 95%CI 0.53-0.79, P<0.01) and IDI was 0.02 (95% CI 0.01-0.03, P<0.05) for Model 2. Comparative analysis of clinical utility demonstrated that the net benefit of Model 2 for predicting IAH in patients with diabetes mellitus surpassed that of Model 1 across threshold probabilities ranging from 5% to 100%. Conclusions:The study constructed a nomogram prediction model included traditional Chinese medicine constitution with good predictive performance for IAH in patients with diabetes mellitus, and is of significant clinical value for identifying high-risk IAH populations.IAH patients mainly have a biased constitution, indicating that medical staff can reduce the incidence of IAH by improving the patients′ constitution.

Objective:To explore the distribution of Traditional Chinese Medicine constitution among patients with impaired awareness of hypoglycemia (IAH) and identify risk factors for IAH in patients with diabetes mellitus, to develop a risk prediction model. The aim is to validate the models′ predictive accuracy to facilitate early prevention and treatment of IAH.Methods:A case control study employing convenience sampling model was conducted on 1351 hospitalized patients with diabetes mellitus in the endocrinology departments of Changshu Hospital Affiliated to Nanjing University of Chinese Medicine and Affiliated Hospital of Jiangsu University, between August 2021 and December 2023. Traditional Chinese medicine constitution types were determined using the Traditional Chinese Medicine Constitution Classification and Judgment (ZYYXH/T157-2009). Data were divided into training and test sets at a ratio of 7∶3. Two prediction models were developed: Model 1, a conventional IAH prediction model for patients with diabetes mellitus, and Model 2, an IAH prediction model for patients with diabetes mellitus incorporating traditional Chinese medicine constitution. Nomograms were drawn for both models. The Hosmer-Lemeshow goodness-of-fit test, calibration curve, receiver operating characteristic (ROC) curve, and area under the curve (AUC) were calculated to evaluate the effectiveness of models 1 and 2. The improvement in prediction performance between Models 1 and 2 was assessed using Delong test, AUC, net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA).Results:The study included 1 283 patients with diabetes mellitus, including 578 males and 705 females, aged (59.61 ± 14.09) years. The incidence of IAH among patients with diabetes mellitus was 20.50% (263/1283), with yang deficiency constitution being the most prevalent traditional Chinese medicine constitution type, at 47.53% (125/263). Multivariate analysis revealed that age, body mass index, course of diabetes, neurological hypoglycemia symptoms, hypoglycemia symptoms and severe hypoglycemia history were the influencing factors of Model 1 (all P<0.05); age, body mass index, neurological hypoglycemic symptoms, hypoglycemic symptoms, history of severe hypoglycemia, and traditional Chinese medicine constitution were the influencing factors of Model 2 (all P<0.05). The Hosmer-Lemeshow goodness-of-fit test showed a good fit of Model 2 [training set ( χ2=8.48, P>0.05), test set ( χ2=3.92, P>0.05)]. The Delong test results showed that the AUC for Model 2 was 0.96 for both the training and test sets, significantly higher than the AUCs of the 0.90 and 0.91 for Model 1 ( Z=-7.27, -3.70, both P<0.01). Furthermore, NRI was 0.66 ( 95%CI 0.53-0.79, P<0.01) and IDI was 0.02 (95% CI 0.01-0.03, P<0.05) for Model 2. Comparative analysis of clinical utility demonstrated that the net benefit of Model 2 for predicting IAH in patients with diabetes mellitus surpassed that of Model 1 across threshold probabilities ranging from 5% to 100%. Conclusions:The study constructed a nomogram prediction model included traditional Chinese medicine constitution with good predictive performance for IAH in patients with diabetes mellitus, and is of significant clinical value for identifying high-risk IAH populations.IAH patients mainly have a biased constitution, indicating that medical staff can reduce the incidence of IAH by improving the patients′ constitution.

Objective To investigate the potential categories of nutrition literacy in young and middle-aged patients with type 2 diabetes mellitus combined with overweight or obesity,and analyze the relationship between various latent categories and dietary motivation,so as to provide references for clinical working staff to develop relevant dietary intervention strategies.Methods A convenient sampling method was used to enroll 270 young and middle-aged patients with type 2 diabetes mellitus combined with overweight or obesity from the endocrine department of a tertiary general hospital in Zhenjiang City,Jiangsu province,using basic information questionnaire,Nutrition Literacy Measurement Scale for Chinese adults,and the Regulation of Eating Behaviors Scale to collect data,using latent profile analysis to extract nutrition literacy potential categories,with general data and potential categories as independent variables,dietary motivation as the dependent variable for univariate analysis and multiple linear regression analysis.Results A total of 262 young and middle-aged patients with type 2 diabetes mellitus combined with overweight or obesity completed the survey,and their nutrition literacy could be divided into 3 potential categories:low nutrition literacy group(16.41％),transformation dilemma group(54.96％),and middle and high nutrition literacy group(28.63％).The results of multiple linear regression analysis showed that residency style,potential categories of nutrition literacy and presence of diabetic complications were the influencing factors of dietary motivation in young and middle-aged patients with type 2 diabetes mellitus combined with overweight or obesity(P＜0.05).Conclusion There was a group heterogeneity in nutrition literacy in young and middle-aged patients with type 2 diabetes mellitus combined with overweight or obesity.Clinical working staff should provide targeted interventions based on the patient's potential categories of nutrition literacy to stimulate ongoing motivation to maintain a healthy diet.

Objective To investigate the potential categories of nutrition literacy in young and middle-aged patients with type 2 diabetes mellitus combined with overweight or obesity,and analyze the relationship between various latent categories and dietary motivation,so as to provide references for clinical working staff to develop relevant dietary intervention strategies.Methods A convenient sampling method was used to enroll 270 young and middle-aged patients with type 2 diabetes mellitus combined with overweight or obesity from the endocrine department of a tertiary general hospital in Zhenjiang City,Jiangsu province,using basic information questionnaire,Nutrition Literacy Measurement Scale for Chinese adults,and the Regulation of Eating Behaviors Scale to collect data,using latent profile analysis to extract nutrition literacy potential categories,with general data and potential categories as independent variables,dietary motivation as the dependent variable for univariate analysis and multiple linear regression analysis.Results A total of 262 young and middle-aged patients with type 2 diabetes mellitus combined with overweight or obesity completed the survey,and their nutrition literacy could be divided into 3 potential categories:low nutrition literacy group(16.41％),transformation dilemma group(54.96％),and middle and high nutrition literacy group(28.63％).The results of multiple linear regression analysis showed that residency style,potential categories of nutrition literacy and presence of diabetic complications were the influencing factors of dietary motivation in young and middle-aged patients with type 2 diabetes mellitus combined with overweight or obesity(P＜0.05).Conclusion There was a group heterogeneity in nutrition literacy in young and middle-aged patients with type 2 diabetes mellitus combined with overweight or obesity.Clinical working staff should provide targeted interventions based on the patient's potential categories of nutrition literacy to stimulate ongoing motivation to maintain a healthy diet.

As main recipient cells for porcine reproductive and respiratory syndrome virus (PRRSV), porcine alveolar macrophage (PAM) are involved in the progress of several highly pathogenic virus infections. However, due to the fact that the PAM cells can only be obtained from primary tissues, research on PAM-based virus-host interactions remains challenging. The improvement of induced pluripotent stem cells (iPSCs) technology provides a new strategy to develop IPSCs-derived PAM cells. Since the CD163 is a macrophage-specific marker and a validated receptor essential for PRRSV infection, generation of stable porcine induced pluripotent stem cells lines containing CD163 reporter system play important roles in the investigation of IPSCs-PAM transition and PAM-based virus-host interaction. Based on the CRISPR/Cas9- mediated gene editing system, we designed a sgRNA targeting CD163 locus and constructed the corresponding donor vectors. To test whether this reporter system has the expected function, the reporter system was introduced into primary PAM cells to detect the expression of RFP. To validate the low effect on stem cell pluripotency, we generated porcine iPSC lines containing CD163 reporter and assessed the pluripotency through multiple assays such as alkaline phosphatase staining, immunofluorescent staining, and EdU staining. The red-fluorescent protein (RFP) expression was detected in CD163-edited PAM cells, suggesting that our reporter system indeed has the ability to reflect the expression of gene CD163. Compared with wild-type (WT) iPSCs, the CD163 reporter-iPSCs display similar pluripotency-associated transcription factors expression. Besides, cells with the reporter system showed consistent cell morphology and proliferation ability as compared to WT iPSCs, indicating that the edited-cells have no effect on stem cell pluripotency. In conclusion, we generated porcine iPSCs that contain a CD163 reporter system. Our results demonstrated that this reporter system was functional and safe. This study provides a platform to investigate the iPS-PAM development and virus-host interaction in PAM cells.
Swine ; Animals ; Induced Pluripotent Stem Cells/metabolism* ; Receptors, Cell Surface/genetics* ; Antigens, CD/metabolism* ; Porcine respiratory and reproductive syndrome virus/genetics*

Morinda genus of Rubiaceae has been widely used in medicine at home and abroad. Many parts of Morinda tree are utilized in research, mainly including roots, stems, leaves, branches and seeds. Through the research of online databases, the chemical components and biological activities of the iridoids in Morinda genus were summarized in this paper. Up to now, more than 50 kinds of iridoids have been identified. In addition, more and more studies proved that Morinda iridoids might benefit human via such anti-inflammatory, antinociceptive, anti-oxidation, anti-tumor and bone protection. The theoretical basis was provided for the further development and utilization of the iridoids in Morinda genus.

Objective:To explore the application effect of target management model based on standardized Metabolic Management Center (MMC) in newly diagnosed diabetic patients.Methods:A total of 80 inpatients who were newly diagnosed as diabetes mellitus in Department of Endocrinology and Metabolism in Affiliated Hospital of Jiangsu University from October 2018 to March 2019 were selected as the convenient sampling method. According to the random number table method, they were divided into the observation group and the control group, with 40 cases in each group. The control group was given routine nursing management while the observation group was given target management by using supporting facilities of MMC based on the control group. The changes of fasting plasma glucose (FPG) , 2 h postprandial blood glucose (2hPG) , glycated hemoglobin (HbA1c) , body mass index (BMI) and self-management behavior scores before and after 6 months of intervention were compared between the two groups.Results:There were no statistically significant differences in blood glucose index, BMI and self-management behavior score between the two groups before the intervention ( P>0.05) . After intervention, the blood glucose and self-management behavior scores of the observation group were better than those of the control group, and the differences were statistically significant ( P<0.05) . The BMI of observation group after intervention was lower than that before intervention, and the difference was statistically significant ( P <0.05) . There was no statistically significant difference before and after intervention in the control group ( P>0.05) . Conclusions:Target management based on the MMC is conducive to improving the self-management ability of newly diagnosed diabetic patients and helps them to effectively control blood glucose and body weight.

Impaired awareness of hypoglycemia is an acquired complication of insulin therapy, which affects people with type 1 and insulin-treated type 2 diabetes mellitus, whereby the ability to perceive the onset of hypoglycemia becomes diminished or absent, which not only affects life health, but also causes fear of hypoglycemia , and causing a serious burden on the quality of life. The paper reviews the concept,the assessment tools,the occurrence,the influencing factors and intervention strategies of impaired awareness of hypoglycemia.In order to provide suggestions for the researches of impaired awareness of hypoglycemia in China.

Objective To analyze the research hotspots and future trend of nursing safety. Methods Biclustering analysis was adopted to analyze the nursing safety literature in PubMed and Wanfang databases from 2012 to 2016 through the bibliographic contribution system BICOMB and graph clustering toolkit gCLUTO 1.0. Results Domestic nursing safety research fronts from 2012 to 2016 focused on adverse events,quality care services, quality evaluation indicators, work errors and safety culture. On the other hand,overseas nursing safety researches focused on system analysis, nursing quality sensitive indicators, teamwork and nursing safety, and the impacts of nursing work environment on quality and safety. Conclusions Comprehensive means of multi-disciplinary teamwork can be called into play for in-depth study of deloping adverse events assessment tools, establishing a unified nursing sensitive indicator system and continuous improvement. The future research trends are establishing a national standardized nursing adverse events reporting system, using information technology to build a big data platform for information sharing and exploring nursing safety from the security environment and organization management.

Objective To revise the Symptom Distress Scale for postoperative patients with pituitary tumor and to test its reliability and validity. Methods On the base of previous qualitative interview and literature review, Delphi consultation was performed to identify items of the Symptom Distress Scale for postoperative patients with pituitary tumor. By convenience sampling method, totally 191 patients from four first-class ternary hospitals in Jiangsu province were investigated effectively by this scale. Results A scale of 4 factors and 16 items was identified by expert interviews, item analysis, exploratory factor analysis and the four factors could explain 69.812%of the variance. The Cronbachαcoefficient of the scale was 0.920, the content validity index was 0.915, and the interrater reliability was 0.860. Conclusions Symptom Distress Scale for postoperative patients with pituitary tumor has good reliability and validity to assess the symptom distress of pituitary tumor patients after operation.