Objective·To explore the influencing factors of oral nutritional supplement compliance in postoperative patients with digestive tract cancer based on COM-B model,and to analyze the mediating role of medication belief and self-efficacy in oral nutritional supplement.Methods·A total of 300 postoperative gastrointestinal cancer patients were selected by convenience sampling method.The General Information Questionnaire,Morisky Medication Adherence Scale,Digestive Cancer Patients Nutrition Knowledge,Attitude and Practice Questionnaire,Multidimensional Scale of Perceived Social Support,Beliefs about Medicines Questionnaire and General Self-Efficacy Scale were used.A mediating effect model was used to analyze the influencing factors of compliance with oral nutritional supplements.Results·The score of Morisky Medication Adherence scale was 1.61±1.38,which was at a low level.Oral nutritional supplement compliance was significantly positively correlated with nutrition knowledge,social support,medication belief and self-efficacy(r=0.391,0.401,0.438,0.410,all P＜0.01).Medication belief had a partial mediating effect between nutrition knowledge and adherence to oral nutritional supplements(effect size=0.097,accounting for 18.00%of the total effect).Self-efficacy had a partial mediating effect between nutrition knowledge and oral nutritional supplement compliance(effect size=0.044,accounting for 8.16%of the total effect).Self-efficacy had a partial mediating effect between social support and oral nutritional supplement compliance(effect size=0.044,accounting for 16.67%of the total effect).Conclusion·The compliance of oral nutritional supplements in postoperative patients with gastrointestinal cancer is at a low level.The individualized nursing intervention can increase the nutritional knowledge of patients,improve the social support,reduce the concerns of patients about oral nutrition,and improve the self-efficacy of patients,so as to promote the compliance of patients with oral nutritional supplements.

Objective To explore the characteristics and influencing factors of adverse reactions of apheresis plasma do-nation in 27 domestic plasma donation stations,and put forward targeted preventive measures.Methods A total of 6 275 plasma donors with adverse reactions from 2018 to 2020 in 27 plasma donation stations in China were selected as the re-search objects.The types of adverse reactions,ages,time of plasma donation and other related characteristics were counted and retrospectively analyzed.Results From January 2018 to December 2020,the incidence of adverse reactions of aphere-sis plasma donation in 27 plasma collection stations was 1.37‰,including vasovagal reaction/hypovolemia(3 208 cases,0.700‰),sodium citrate allergy/hypocalcemia(1 205 cases,0.263‰),hypoglycemia(1 020 cases,0.223‰),syncope(796 cases,0.174‰),hematoma(8 cases,0.002‰),other reactions(36 cases,0.008‰),all of which were non-se-vere adverse reactions.There were significant differences in the incidence of different types of adverse reactions(P＜0.001).The adverse reactions in 2018,2019 and 2020 were compared,and the difference was statistically significant(P＜0.001),with the highest incidence of 1.51‰(2 143/1 414 162)of adverse reactions in 2019 and the lowest incidence of 1.29‰(1 818/1 410 506)in 2020.The difference in the incidence of adverse reactions in different age groups was statistically sig-nificant(P＜0.001),with the highest incidence of 2.61‰(224/85 733)of 18-25 years old,and the lowest incidence of 1.05‰(465/439 786)of 56-60 years old.The incidence of different types of adverse reactions was compared according to different age groups,and significant differences were noticed in the incidence of vasovagal reaction/hypovolemia(P＜0.001),sodium citrate allergy/hypocalcemia(P＜0.05),hypoglycemia(P＜0.001),and syncope(P＜0.001)among dif-ferent age groups,while no significant difference was found in hematoma and other adverse reactions among different age groups(P＞0.05).Conclusion The incidence of adverse reactions in plasma donation is low in China.In the process of plasma donation,attention should be paid to first-time and young(18-25 years old)donors.The incidence of adverse reac-tions in 56-60 years old donors is the lowest,which can provide data support for the age revision of plasma donors in China.

Objective:To explore the application of pyrophosphorolysis-activated polymerization(PAP)to monitor plasma cfDNA in ad-vanced non-small cell lung cancer(NSCLC).Methods:A total of 85 patients diagnosed with advanced NSCLC between March 2016 and June 2017 were enrolled in the present study. EGFR mutations in cfDNA extracted from the plasma were detected using PAP and ARMS-PCR technology.The concordance analysis of EGFR mutations involved plasma vs.tumor tissue and PAP vs.ARMS-PCR.Further-more,38 EGFR-positive patients were selected to monitor EGFR mutations with PAP.Results:No statistical differences in EGFR muta-tions were observed between plasma and tumor tissue(P=0.092),as well as PAP and ARMS-PCR(P=0.210).The detection rate of EGFR mutations in cfDNA was higher in the progressor than in the non-progressor(62.5% vs.21.3%,P<0.001).Conclusions:PAP can be used for detecting and monitoring EGFR mutations in cfDNA to predict disease progression.

Objective To investigate the safety of regular plasma donors aged 55 to 60,so as to provide reference for retention and recruitment of elderly plasma donors in China.Methods Plasma donors from 9 blood products manufacturing enterprises from 2018 to 2020 and the local general population were selected as the research objects.The total protein level,albumin and globulin ratio(ALB/GLB,A/G)and adverse reactions of plasma donation of regular plasma donors and local general population were retrospectively analyzed.Results The total protein level(g/L)and A/G of plasma donors aged 56 to 60 and the general population were 61.21±5.62 vs 60.04±6.93 and 1.610±0.299 vs 1.635±0.330,respectively,and the differences were statistically significant.The total protein level of regular plasma donors was higher than that of general popu-lation,but A/G was slightly lower than that of general population.From 2018 to 2020,there were a total of 23 056 302 plas-ma donations in 108 plasma stations,and adverse reactions occurred in 20 932 donations,with a total incidence of 0.09%,with no serious adverse reactions.Conclusion It is safe for regular plasma donors aged 55 to 60 to donate plasma,and the retention of them can alleviate the pressure of plasma supply.

Objective:To study the clustered regularly interspaced short palindromic repeats (CRISPR) loci polymorphism of Yersinia pestis and its area distribution in Gansu province. Methods:A total of 203 strains of Yersinia pestis isolated from 1962 to 2014 were selected for the culture and extraction of DNA. Three pairs of CRISPR primers were used to amplify the strain DNA by PCR, and the PCR products were sequenced. The groups and genotypes of strains were determined according to the spacer and spacer arrangement of CRISPR loci in the strain. Cluster analysis was done by using the software BioNumerics 5.10. Results:A total of 16 spacers, including 9 species of YPa loci, 4 species of YPb loci and 3 species of YPc loci, were found in the 203 strains of Yersinia pestis. A new spacer of a1′ was found. The 203 strains were divided into 5 CRISPR genotypes and classified into 5 CRISPR clusters (Cb2, Ca7, Ca7′, CaΔ5′ and Ca35′). Each cluster showed significant area-specific characteristics, Cb2 was mainly distributed in Huining country and Pingchuan district, Ca7 was mainly found in Aksai Kazak autonomous country, Ca7′ was mainly found in Xiahe country, Ca35′ was mainly found in Subei Mongolia autonomous county and Yumen city and CaΔ5′ was mainly distributed in Sunan Yugur autonomous county. Conclusions:The strains from different plague foci in Gansu were distinguished by CRISPR, all kinds of clusters showed the obvious area specific characteristics. It is important to study the evolution of Yersinia pestis in Gansu and trace the molecular biology origin of human plague.

With the continuous improvement of medical information and intelligence, multi-modal data fusion technology is increasingly widely used in the medical field. Multi-modal data not only has a large quantity, but also has rich information content, which can provide strong support for clinical nursing decision-making. However, due to the uneven level of informatization and intelligence development among medical institutions, the development and application of nursing decision support system is still in a fragmented state. Based on this, this study explores in depth the current application status and challenges faced by multi-modal data fusion in nursing decision support systems, with the aim of providing reference for the design and improvement of nursing decision support system at all levels of medical institutions in the future.

Objective:To evaluate artificial intelligence constructed by deep convolutional neural network (DCNN) for the site identification in upper gastrointestinal endoscopy.Methods:A total of 21 310 images of esophagogastroduodenoscopy from the Cancer Hospital of Chinese Academy of Medical Sciences from January 2019 to June 2021 were collected. A total of 19 191 images of them were used to construct site identification model, and the remaining 2 119 images were used for verification. The performance differences of two models constructed by DCCN in the identification of 30 sites of the upper digestive tract were compared. One model was the traditional ResNetV2 model constructed by Inception-ResNetV2 (ResNetV2), the other was a hybrid neural network RESENet model constructed by Inception-ResNetV2 and Squeeze-Excitation Networks (RESENet). The main indices were the accuracy, the sensitivity, the specificity, positive predictive value (PPV) and negative predictive value (NPV).Results:The accuracy, the sensitivity, the specificity, PPV and NPV of ResNetV2 model in the identification of 30 sites of the upper digestive tract were 94.62%-99.10%, 30.61%-100.00%, 96.07%-99.56%, 42.26%-86.44% and 97.13%-99.75%, respectively. The corresponding values of RESENet model were 98.08%-99.95%, 92.86%-100.00%, 98.51%-100.00%, 74.51%-100.00% and 98.85%-100.00%, respectively. The mean accuracy, mean sensitivity, mean specificity, mean PPV and mean NPV of ResNetV2 model were 97.60%, 75.58%, 98.75%, 63.44% and 98.76%, respectively. The corresponding values of RESENet model were 99.34% ( P<0.001), 99.57% ( P<0.001), 99.66% ( P<0.001), 90.20% ( P<0.001) and 99.66% ( P<0.001). Conclusion:Compared with the traditional ResNetV2 model, the artificial intelligence-assisted site identification model constructed by RESENNet, a hybrid neural network, shows significantly improved performance. This model can be used to monitor the integrity of the esophagogastroduodenoscopic procedures and is expected to become an important assistant for standardizing and improving quality of the procedures, as well as an significant tool for quality control of esophagogastroduodenoscopy.