1.Comparison of the performance of different nutritional screening tools for preoperative patients with Crohn's disease
Ze-Hua ZHAO ; Chu-Lin CHEN ; Xiang-Hong YE ; Yi LI
Parenteral & Enteral Nutrition 2024;31(2):114-117,123
Objective:To explore the application value of different nutritional screening tools in the evaluation of preoperative malnutrition assessment of Crohn's patients. Methods:Using the convenient sampling method, a retrospective analysis was conducted on CD patients who underwent elective surgery at the general surgery department of General Hospital of Eastern Theater Command from January 2021 to March 2022. The preoperative nutritional status of the patients was understood. Taking the consensus on malnutrition assessment diagnosis standards (GLIM) as the gold standard. The correlation, difference and diagnostic efficacy of 3 nutritional risk screening tools were compared. Results:A total of 212 patients were included. Using GLIM as the diagnostic standard, 131 patients (61.79%) had malnutrition. The incidence of malnutrition risk was 66.03%, 85.38% and 55.66% using NRS 2002 score, NS IBD score and PNI score, respectively. The sensitivities of the above three scores in the preoperative nutritional screening of IBD patients were 81.46%, 85.48%, 79.63%, respectively; the specificity were 62.36%, 54.71%, 57.12%, respectively; and the areas under the curve were 0.749, 0.763, 0.831, respectively. In the evaluation of diagnostic efficacy, NS IBD score had the highest sensitivity, and NRS 2002 had the best specificity. Conclusion:For patients with Crohn's disease undergoing elective surgery, the three nutritional risk screening tools can provide a basis for malnutrition risk screening. The items of PNI score are objective, concise, and convenient. As for the evaluation of diagnostic efficacy, the NS IBD score has the highest sensitivity and the NRS 2002 has the best specificity.
2.Status quo of training and domestic deployment of specialist nurses in the clinical nutrition support in China
Yang YANG ; Ze-Hua ZHAO ; Ying-Chun HUANG ; Lan DING ; Xiang-Hong YE ; Dong-Mei ZHU
Parenteral & Enteral Nutrition 2024;31(4):245-251
Objective:To investigate the status quo of training and domestic use of 707 clinical nutrition support specialty nurses from 21 provinces,cities,and autonomous regions in China. And to analyze their influencing factors and provide reference for improving the training system of clinical nutrition support specialty nurses,selection and development of specialist nurses in clinical nutrition support. Methods:From October to November 2023,a cross-sectional survey was conducted on 707 clinical nutrition support specialty nurses from 21 provinces,cities,and autonomous regions across China was conducted using a convenience sampling method based on a questionnaire about the training and home use of clinical nutrition support nurses. Univariate and multiple linear regression analysis was used to examine the use status and application of clinical nutrition support specialty nurses in five aspects:clinical nursing practice,nursing education,nursing management,coordination,nursing research and consultation. Results:The use of specialist clinical nutrition support nurses is not ideal,with 75.67% of specialist nurses scoring less than 208 points (i.e. less than 80% of the total score). Among the use of different dimensions,the clinical nursing practice dimension received the highest score (54.17±10.26),followed by the nursing education dimension (36.98±8.00). The results of multiple linear regression analysis show that hospital level and professional title are independent influencing factors influencing the use and development of specialist nurses. Conclusion:There is a need to further improve the utilisation of clinical nutrition support nurses. It is recommended that links and cooperation between hospitals at all levels,communities,and families be strengthened. For specialist nurses with higher professional titles,encourage them to fully play their roles,strengthen training in weak areas,continuously optimize the professional ability of clinical nutrition support nursing teams,comprehensively improve the quality of clinical nutrition support specialist nursing,and promote their high-level development.
3.Correlation analysis of phase angle with nutritional risk and clinical outcomes in patients with severe acute pancreatitis
Lan DING ; Yue FU ; Ze-Hua ZHAO ; Hong-Lin YAO ; Xiang-Hong YE
Parenteral & Enteral Nutrition 2024;31(4):252-256
Objective:To investigate the relationship between phase angle (PA) and nutritional status,duration of mechanical ventilation,length of intensive care unit (ICU) stay,and clinical outcomes in patients with severe acute pancreatitis (SAP) complicated with ARDS. Methods:The clinical data of patients with SAP complicated with ARDS admitted to the surgical ICU,Jinling hospital,medical school of Nanjing University,from July 2023 to March 2024 were retrospectively collected. Patients are divided into low-PA group and normal-PA group based on phase angle. The correlation analysis between phase angle,nutritional status,and clinical outcomes,and evaluation of risk factors for mortality in patients with SAP combined with ARDS were performed. Result:A total of 83 patients with SAP complicated with ARDS were included in this study. PA was negatively correlated with nutritional risk scores (rs=-0.352,P=0.001),duration of mechanical ventilation (rp=-0.475,P<0.001),length of ICU stay (rp=-0.313,P=0.004),and mortality (rs=-0.371,P=0.001). Univariate analysis showed statistically significant differences in age,PA value,and duration of mechanical ventilation for predicting mortality (P<0.05);Multivariate analysis showed that the PA value was an independent risk factor for mortality (P<0.05). Conclusion:PA is significantly correlated with clinical outcomes,such as nutritional risk,duration of mechanical ventilation,length of ICU stay and mortality,and may be a promising biomarker in future.
4.Effects of COL1A1 and SYTL2 on inflammatory cell infiltration and poor extracellular matrix remodeling of the vascular wall in thoracic aortic aneurysm
Xinsheng XIE ; Ye YUAN ; Yulong HUANG ; Xiang HONG ; Shichai HONG ; Gang CHEN ; Yihui CHEN ; Yue LIN ; Weifeng LU ; Weiguo FU ; Lixin WANG
Chinese Medical Journal 2024;137(9):1105-1114
Background::Thoracic aortic aneurysm (TAA) is a fatal cardiovascular disease, the pathogenesis of which has not yet been clarified. This study aimed to identify and validate the diagnostic markers of TAA to provide a strong theoretical basis for developing new methods to prevent and treat this disease.Methods::Gene expression profiles of the GSE9106, GSE26155, and GSE155468 datasets were acquired from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified using the "limma" package in R. Least absolute shrinkage and selection operator (LASSO), support vector machine-recursive feature elimination (SVM-RFE), random forest, and binary logistic regression analyses were used to screen the diagnostic marker genes. Single-sample gene set enrichment analysis (ssGSEA) was used to estimate immune cell infiltration in TAA.Results::A total of 16 DEGs were identified. The enrichment and functional correlation analyses showed that DEGs were mainly associated with inflammatory response pathways and collagen-related diseases. Collagen type I alpha 1 chain ( COL1A1) and synaptotagmin like 2 ( SYTL2) were identified as diagnostic marker genes with a high diagnostic value for TAA. The expression of COL1A1 and SYTL2 was considerably higher in TAA vascular wall tissues than in the corresponding normal tissues, and there were significant differences in the infiltration of immune cells between TAA and normal vascular wall tissues. Additionally, COL1A1 and SYTL2 expression were associated with the infiltration of immune cells in the vascular wall tissue. Single-cell analysis showed that COL1A1 in TAA was mainly derived from fibroblasts and SYTL2 mainly from cluster of differentiation (CD)8 + T cells. In addition, single-cell analysis indicated that fibroblasts and CD8 + T cells in TAA were significantly higher than those in normal arterial wall tissue. Conclusions::COL1A1 and SYTL2 may serve as diagnostic marker genes for TAA. The upregulation of SYTL2 and COL1A1 may be involved in the inflammatory infiltration of the vessel wall and poor extracellular matrix remodeling, promoting the progression of TAA.
5.Summary of best evidence for case management of home enteral nutrition patients
Chun-Yan LIU ; Hong-Lin YAO ; Jia-Qi LI ; Shuo SHEN ; Ze-Hua ZHAO ; Xiang-Hong YE
Parenteral & Enteral Nutrition 2024;31(5):306-311
Objective:To summarize the best evidence on case management of patients with home enteral nutrition.Methods:Relevant evidence on the case management of home enteral nutrition patients was retrieved by literature search,and the evidence was extracted and summarized for the literature that met the quality requirements.Result:A total of 10 literatures were included,including 1 guideline,3 expert consensus,2 industry standards,1 systematic review and 3 randomized controlled trials.By establishment of archives,policy management,establishment of multidisciplinary teams,overall evaluation of home enteral nutrition,as well as implementation management,a total of 33 home enteral nutrition case management was summarized from 6 aspects including health education and follow-up,etc.Conclusion:All the summarized relevant evidence about case filing and management of home enteral nutrition patients can be applied in clinical practice to promote the standardized management of home enteral nutrition.
6.Prediction of microbial concentration in hospital indoor air based on gra-dient boosting decision tree model
Guang-Fei YANG ; Shui WU ; Xiang-Yu QIAN ; Yu-Hong YANG ; Ye SUN ; Yun ZOU ; Li-Li GENG ; Yuan LIU
Chinese Journal of Infection Control 2024;23(7):787-797
Objective To explore the prediction of hospital indoor microbial concentration in air based on real-time indoor air environment monitoring data and machine learning algorithms.Methods Four locations in a hospital were selected as monitoring sampling points from May 23 to June 5,2022.The"internet of things"sensor was used to monitor a variety of real-time air environment data.Air microbial concentration data collected at each point were matched,and the gradient boosting decision tree(GBDT)was used to predict real-time indoor microbial concentra-tion in air.Five other common machine learning models were selected for comparison,including random forest(RF),decision tree(DT),k-nearest neighbor(KNN),linear regression(LR)and artificial neural network(ANN).The validity of the model was verified by the mean absolute error(MAE),root mean square error(RMSE)and mean absolute percentage error(MAPE).Results The MAPE value of GBDT model in the outpa-tient elevator room(point A),bronchoscopy room(point B),CT waiting area(point C),and nurses'station in the supply room(point D)were 22.49%,36.28%,29.34%,and 26.43%,respectively.The mean performance of the GBDT model was higher than that of other machine learning models at three sampling points and slightly lower than that of the ANN model at only one sampling point.The mean MAPE value of GBDT model at four sampling points was 28.64%,that is,the predicted value deviated from the actual value by 28.64%,indicating that GBDT model has good prediction results and the predicted value was within the available range.Conclusion The GBDT machine learning model based on real-time indoor air environment monitoring data can improve the prediction accuracy of in-door air microbial concentration in hospitals.
7.Epidemiological study of incidence of systematic lupus erythematosus in Yinzhou, Ningbo, 2016-2021.
Xue Feng LAI ; Zhi Ke LIU ; Peng SHEN ; Ye Xiang SUN ; Huai Chu LU ; Si Yan ZHAN ; Hong Bo LIN
Chinese Journal of Epidemiology 2023;44(7):1080-1085
Objective: To characterize the incidence density of systematic lupus erythematosus (SLE) in Yinzhou District of Ningbo from 2016 to 2021, and compare the age and gender specific differences. Methods: A retrospective cohort study was conducted based on the related data from 2015 to 2021 collected from the Health Information Platform of Yinzhou. Suspected SLE cases in local residents were identified by fuzzy matching of International Classification of Diseases 10th edition code "M32" or Chinese text "lupus". The classification criteria from Systemic Lupus International Collaboration Clinics-2012 and The European League Against Rheumatism/American College of Rheumatology-2019 were used for case verification. SLE cases were identified with specific algorithm based on verification results, and new cases were identified with 1 year as the washout period. The incidence density and 95%CI were estimated by Poisson distribution. Results: From 2016 to 2021, a total of 1 551 921 permanent residents were registered in Yinzhou, in whom 51.52% were women. The M(Q1,Q3) age at enrollment was 40.38 (27.54, 53.54) years. The M(Q1,Q3) of follow-up person-years was 3.83 (0.41, 5.83) years. There were 451 new SLE cases, in which 352 were women (78.05%). The 6-year incidence density was 8.14/100 000 person-years (95%CI: 7.41/100 000 person-years-8.93/100 000 person-years) for the total population, 3.68/100 000 person-years (95%CI: 2.99/100 000 person-years-4.48/100 000 person-years) for men and 12.37/100 000 person-years (95%CI: 11.11/100 000 person-years- 13.73/100 000 person-years) for women. The incidence density in men appeared a small peak at 20-29 years old, and began to increase with age from 40 years old. The incidence density in women was highest in age group 20-29 years (16.57/100 000 person-years) and remained to be high until 30-79 years old. The incidence density of SLE in Yinzhou show no significant temporal trend from 2016 to 2021 (men: P=0.848; women: P=1.000). Conclusions: The incidence density of SLE in Yinzhou from 2016 to 2021 was similar to those of other areas in China. SLE has a high incidence in women, especially in the young and elderly, suggesting that more attention should be paid to the diagnosis and treatment of SLE in women.
Adult
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Female
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Humans
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Young Adult
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Asian People
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Incidence
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Lupus Erythematosus, Systemic/diagnosis*
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Retrospective Studies
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China/epidemiology*
8.Preliminary study on three-dimensional morphological reconstruction method for external nose defect based on three-dimensional face template.
Ao Nan WEN ; Yong WANG ; Hong Qiang YE ; Zi Xiang GAO ; Yu Jia ZHU ; Qing Zhap QIN ; Hui Zhen HU ; Yun Song LIU ; Yi Jiao ZHAO
Chinese Journal of Stomatology 2023;58(5):414-421
Objective: To provide a new solution for the digital design of nasal prostheses, this study explores the three-dimensional (3D) facial morphology completion method for external nasal defects based on the non-rigid registration process of 3D face template. Methods: A total of 20 male patients with tooth defect and dentition defect who visited the Department of Prosthodontics, Peking University School and Hospital of Stomatology from June to December 2022 were selected, age 18-45 years old. The original 3D facial data of patients were collected, and the 3D facial data of the external nose defect was constructed in Geomagic Wrap 2021 software. Using the structured 3D face template data constructed in the previous research of the research group, the 3D face template was deformed and registered to the 3D facial data of external nose defect (based on the morphology of non-defective area) by non-rigid registration algorithm (MeshMonk program), and the personalized deformed data of the 3D face template was obtained, as the complemented facial 3D data. Based on the defect boundary of the 3D facial data of the external nose defect, the complemented external nose 3D data can be cut out from the complemented facial 3D data. Then the nasofacial angle and nasolabial angle of the complemented facial 3D data and the original 3D facial data was compared and analyzed, the ratio between the nose length and mid-face height, nose width and medial canthal distance of the complemented facial 3D data was measured, the edge fit between the edge curve of the complemented external nose 3D data and the defect edge curve of the 3D facial data of external nose defect was evaluated, and the morphological difference of the nose between the complemented external nose 3D data and the original 3D facial data was analyzed. Results: There was no significant statistically difference (t=-0.23, P=0.823; Z=-1.72, P=0.086) in the nasofacial angle (28.2°±2.9°, 28.4°±3.5° respectively) and nasolabial angle [95.4°(19.2°), 99.9°(9.5°) respectively] between the 20 original 3D facial data and the complemented facial 3D data. The value of the ratio of nose length to mid-face height in the complemented facial 3D data was 0.63±0.03, and the value of the ratio of nose width to medial canthal distance was 1.07±0.08. The curve deviation (root mean square value) between the edge curve of the complemented external nose 3D data and the defect edge curve of the 3D facial data of external nose defect was (0.37±0.09) mm, the maximum deviation was (1.14±0.32) mm, and the proportion of the curve deviation value within±1 mm was (97±3)%. The distance of corresponding nose landmarks between the complemented facial 3D data and the original 3D facial data were respectively, Nasion: [1.52(1.92)] mm; Pronasale: (3.27±1.21) mm; Subnasale: (1.99±1.09) mm; Right Alare: (2.64±1.34) mm; Left Alare: (2.42± 1.38) mm. Conclusions: The method of 3D facial morphology completion of external nose defect proposed in this study has good feasibility. The constructed complemented external nose 3D data has good facial coordination and edge fit, and the morphology is close to the nose morphology of the original 3D facial data.
9.Expert consensus on the prevention and treatment of adverse reactions in subcutaneous immunotherapy(2023, Chongqing).
Yu Cheng YANG ; Yang SHEN ; Xiang Dong WANG ; Yan JIANG ; Qian Hui QIU ; Jian LI ; Shao Qing YU ; Xia KE ; Feng LIU ; Yuan Teng XU ; Hong Fei LOU ; Hong Tian WANG ; Guo Dong YU ; Rui XU ; Juan MENG ; Cui Da MENG ; Na SUN ; Jian Jun CHEN ; Ming ZENG ; Zhi Hai XIE ; Yue Qi SUN ; Jun TANG ; Ke Qing ZHAO ; Wei Tian ZHANG ; Zhao Hui SHI ; Cheng Li XU ; Yan Li YANG ; Mei Ping LU ; Hui Ping YE ; Xin WEI ; Bin SUN ; Yun Fang AN ; Ya Nan SUN ; Yu Rong GU ; Tian Hong ZHANG ; Luo BA ; Qin Tai YANG ; Jing YE ; Yu XU ; Hua Bin LI
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2023;58(7):643-656
10.Trichostatin C attenuates TNFα -induced inflammation in endothelial cells by up-regulating Krüppel-like factor 2
Li-juan LEI ; Ming-hua CHEN ; Ying-hong LI ; Xin-hai JIANG ; Wei-zhi WANG ; Li-ping ZHAO ; Chen-yin WANG ; Yu-chuan CHEN ; Yu-yan ZHANG ; Ye-xiang WU ; Shun-wang LI ; Jiang-xue HAN ; Yi-ning LI ; Ren SHENG ; Yu-hao ZHANG ; Jing ZHANG ; Li-yan YU ; Shu-yi SI ; Yan-ni XU
Acta Pharmaceutica Sinica 2023;58(8):2375-2383
Krüppel-like transcription factor 2 (KLF2) plays a key regulatory role in endothelial inflammation, thrombosis, angiogenesis and macrophage inflammation and polarization, and up-regulation of KLF2 expression has the potential to prevent and treatment atherosclerosis. In this study, trichostatin C (TSC) was obtained from the secondary metabolites of rice fermentation of

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