Objective To establish a differential model of phlegm and blood stasis pattern and qi deficiency and blood stasis pattern in stable angina pectoris using radiomics.Methods A total of 91 patients with stable angina pectoris who underwent coronary artery CT angiography in Affiliated Hospital of Liaoning University of Traditional Chinese Medicine from January 2021 to January 2022 were collected,including 47 cases of phlegm and blood stasis pattern and 44 cases of qi deficiency and blood stasis pattern.The patients were divided into train set(64 cases)and test set(27 cases)according to the ratio of 7∶3 by stratified random sampling method.3D-slicer software was used to extract the radiomics features of pericoronary adipose tissue(PCAT)images.Principal component analysis was used to visualize the distribution of radiomics features of pattern of phlegm and blood stasis and pattern of qi deficiency and blood stasis.The least absolute shrinkage and selection operator regression analysis and support vector machine decreasing feature elimination were used for feature selection.The multinomial logistics regression was used for model construction.The receiver operating characteristic(ROC)curve was used to verify the model in the train set and the test set to evaluate the effectiveness of the radiomics features in differentiating phlegm and blood stasis pattern and qi deficiency and blood stasis pattern.Finally,Spearman coefficient was used to analyze the correlation between the differential features and clinical physicochemical data.Results A total of 837 radiomics features were extracted from PCAT images by 3D-slicer software.In the principal component analysis,PC1 and PC2 explained 77.9%and 8.1%of the total variance,respectively,and there was a relatively obvious separation trend between the two pattern groups.After feature screening,7 radiomics features were used to construct the differential model of phlegm and blood stasis pattern and qi deficiency and blood stasis pattern.The area under the ROC curve(AUC)of the differential model was 0.844 in the train set and 0.834 in the test set.Spearman correlation analysis showed that the differential features were significantly correlated with cTnI,neutrophil,triglyceride,total cholesterol,and leukocyte.Conclusion The CT radiomics model based on PCAT has a high discrimination efficiency for stable angina pectoris with phlegm and blood stasis pattern and qi deficiency and blood stasis pattern.

Objective:To investigate the relationship between positive asthma prediction index (API) and single nucleotide polymorphisms (SNPs) of interleukin (IL-13), IL-4, β 2 adrenergic receptor (ADRB2), and type I Fc ε receptor β (FcER1B) genes in asthmatic children.Methods:A prospective study was conducted on 102 asthmatic children under 5 years old admitted to Zhongshan Boai Hospital and Foshan First People′s Hospital (51 cases were API positive and 51 cases were API negative) from January 2020 to August 2023. Oral and buccal mucosal exfoliated cells were collected from the children, and genomic DNA was extracted using magnetic bead method. Four gene loci (IL-13 rs20541, IL-4 rs2243250, ADRB2 rs1042713, FcER1B rs569108) were genotyped using a matrix assisted laser desorption ionization time-of-flight mass spectrometer. Logistic regression analysis was used to evaluate the correlation between SNP typing at these four gene loci and API positivity in asthmatic children.Results:There was a statistically significant difference in the SNP typing and allele distribution frequency of IL-13 rs20541, IL-4 rs2243250, ADRB2 rs1042713, FcER1B rs569108 between the API positive and API negative groups of wheezing children (all P<0.05). Among API positive children, the proportion of IL-13 rs20541 site was higher in GG type, the proportion of IL-4 rs2243250 site was higher in TT type, the proportion of ADRB2 rs1042713 site was higher in AG type, and the proportion of FcER1B rs569108 site was higher in AA type; The results of logistic regression analysis showed that IL-13 rs20541 GG type, IL-4 rs2243250 TT type, FcER1B rs569108 AA type were associated with the risk of API positivity in asthmatic children (all P<0.05). Conclusions:IL-13, IL-4, and FcER1B genes are risk genes for the development of API positive wheezing in children under 5 years old. SNP typing of these genes can be used to evaluate the risk of API positivity in clinical practice.

Bile acids not only play an important physiological role in regulating lipid metabolism,but also par-ticipate in the regulation of central nervous system.Numerous studies indicated that abnormal bile acid metabolism is closely related to depression,but the exact mechanism remains unclear.This study summarized the relationship between bile acid metabolism and depression and aimed to provide a new perspective for the study and treatment of depression.

Purpose To observe the clinical and CT features of severe immune checkpoint inhibitor-related pneumonitis(CIP)in lung cancer patients.Materials and Methods A total of 174 patients with lung cancer who received immune checkpoint inhibitor(PD-1/PD-L1 inhibitors)in Xi'an International Medical Center Hospital from September 1,2019 to March 31,2022 were retrospectively collected.Clinical and imaging features of patients with severe CIP were analyzed.Results There were 23 patients who met the diagnostic criteria of severe CIP.Among them,22 were male patients,15 were younger(＜65 years old),17 had a history of underlying lung disease,16 had a history of chemoradiotherapy and other treatments,and 21 had a history of combined radiotherapy and chemoradiotherapy.The median time from the initiation of immune checkpoint inhibitor to CIP was 128(74,348)days.19 patients were non-small cell carcinoma.CIP occurred in 16 patients with right lung cancer,15 had tumor central airway invasion,14 had radiographic features of diffuse alveolar injury/acute interstitial pneumonia pattern,and 20 died during follow-up.Conclusion Severe CIP is likely to occur in male lung cancer patients with a history of basic medical history and radiotherapy and chemotherapy.The clinical manifestations are varied,and the main imaging features are diffuse alveolar injury/acute interstitial pneumonia pattern,and the prognosis is poor.

Objective:To study the clinical characteristics of neonatal umbilical vascular catheter (UVC) rupture.Methods:A neonate with UVC rupture admitted to Neonatology Department of our hospital was retrospectively reviewed. Literature on this subject were searched in the following databases: Chinese Medical Journal full-text Database, CNKI, Wanfang Database, CQVIP database, PubMed, Web of Science, Embase and Cochrane Library (up until March 15 2022). The causes, treatment and prognosis of neonatal UVC rupture were analyzed.Results:In our case, the UVC was accidentally damaged during the removal of the ligature suture. The UVC was ruptured after a slight force was applied to remove the catheter, resulting in approximately 7 cm of UVC remaining in the body. Trans-umbilical vein intervention was performed and the catheter was successfully removed with a lasso under X-ray guidance. A total of 33 UVC rupture cases were included from 15 articles (no case report in China before). In 16 cases (47.1%), the UVCs were accidentally cut off by knife or scissors when removing the catheter. In 3 cases (8.8%), the UVCs were broken during insertion. The UVC was broken in 1 case (2.9%) during flushing the catheter. The causes of the other 14 cases (41.2%) were unknown. 9 cases (26.5%) had clinical manifestations, including respiratory distress, prominent heart murmur, sepsis and limb ischemia. 20 cases (58.8%) showed no clinical features. No data on the other 5 cases (14.7%). 21 cases (61.8%) received vascular intervention removal, 11 cases (32.4%) received surgical removal, 1 case (2.9%) was removed with tweezers, and 1 case (2.9%) died before UVC was removed. Among the neonates receiving surgical treatment, 1 case died of sepsis on the second day after surgery and 1 case had sequela of limb ischemia. 2 cases had postoperative vasospasm and embolism after vascular intervention with overall good prognosis.Conclusions:The rupture of UVC in neonates is rare and mainly related with knife and scissors injury.

Coronavirus disease 2019 (COVID-19) has continued to spread globally since late 2019, representing a formidable challenge to the world's healthcare systems, wreaking havoc, and spreading rapidly through human contact. With fever, fatigue, and a persistent dry cough being the hallmark symptoms, this disease threatened to destabilize the delicate balance of our global community. Rapid and accurate diagnosis of COVID-19 is a prerequisite for understanding the number of confirmed cases in the world or a region, and an important factor in epidemic assessment and the development of control measures. It also plays a crucial role in ensuring that patients receive the appropriate medical treatment, leading to optimal patient care. Reverse transcription-polymerase chain reaction (RT-PCR) technology is currently the most mature method for detecting viral nucleic acids, but it has many drawbacks. Meanwhile, a variety of COVID-19 detection methods, including molecular biological diagnostic, immunodiagnostic, imaging, and artificial intelligence methods have been developed and applied in clinical practice to meet diverse scenarios and needs. These methods can help clinicians diagnose and treat COVID-19 patients. This review describes the variety of such methods used in China, providing an important reference in the field of the clinical diagnosis of COVID-19.
Humans ; Artificial Intelligence ; China ; COVID-19/diagnosis* ; COVID-19 Testing

Objective To analyze the application of intelligent speech follow-up system in sec-ondary prevention of ischemic stroke(IS).Methods A total of 842 IS patients who received intra-venous thrombolysis were randomly divided into intelligent group and artificial group.In the artificial group,corresponding intelligent follow-up templates were developed for the main risk factors affecting the occurrence of IS.The intelligent follow-up system determined the follow-up time and period ac-cording to the reserved information of patients when they were discharged,automatically called out the patients'home conditions for follow-up,and converted the response contents into text mode for out-put.The artificial group was followed up by professionally trained nursing staff,and the follow-up con-tent was the same as that of the intelligent group.Call out,hypertension,diabetes,medication,exer-cise,average call time and satisfaction of follow-up in the two groups were collected.Results The tel-ephone connection rates showed no statistical significances between two groups(P＞0.05).During the follow-up calls,the correct recognition rate of follow-up contents in the intelligent group was low-er,and therateof unwillingness to cooperate and call interruption rate were higher than those in the control group(P＜0.05).There were no statistically significant differences in the percentages of au-tomatic message leaving,inconvenient answering,resident death,family members unable to answer and number error between the two groups(P＞0.05),and there was no statistical significance in the distribution of disconnected calls between the two groups(P＞0.05).In the effective follow-up calls,there was no statistical significance in the answers to questions related to hypertension and diabetes,compliance and exercise between the two groups(P＞0.05).The average call duration in the intel-ligent group was significantly shorter,and follow-up satisfaction was lower than that in the control group(P＜0.05).Conclusion Intelligent voice follow-up system can replace manual telephone follow-up to a certain extent,and help medical staff understand the compliance of home blood pres-sure,blood sugar,medication,exercise and secondary prevention in IS patients,and can save fol-low-up time and improve follow-up efficiency compared with manual follow-up,but its language rec-ognition and improvement of cooperation rate still need to be optimized.

Objective To analyze the application of intelligent speech follow-up system in sec-ondary prevention of ischemic stroke(IS).Methods A total of 842 IS patients who received intra-venous thrombolysis were randomly divided into intelligent group and artificial group.In the artificial group,corresponding intelligent follow-up templates were developed for the main risk factors affecting the occurrence of IS.The intelligent follow-up system determined the follow-up time and period ac-cording to the reserved information of patients when they were discharged,automatically called out the patients'home conditions for follow-up,and converted the response contents into text mode for out-put.The artificial group was followed up by professionally trained nursing staff,and the follow-up con-tent was the same as that of the intelligent group.Call out,hypertension,diabetes,medication,exer-cise,average call time and satisfaction of follow-up in the two groups were collected.Results The tel-ephone connection rates showed no statistical significances between two groups(P＞0.05).During the follow-up calls,the correct recognition rate of follow-up contents in the intelligent group was low-er,and therateof unwillingness to cooperate and call interruption rate were higher than those in the control group(P＜0.05).There were no statistically significant differences in the percentages of au-tomatic message leaving,inconvenient answering,resident death,family members unable to answer and number error between the two groups(P＞0.05),and there was no statistical significance in the distribution of disconnected calls between the two groups(P＞0.05).In the effective follow-up calls,there was no statistical significance in the answers to questions related to hypertension and diabetes,compliance and exercise between the two groups(P＞0.05).The average call duration in the intel-ligent group was significantly shorter,and follow-up satisfaction was lower than that in the control group(P＜0.05).Conclusion Intelligent voice follow-up system can replace manual telephone follow-up to a certain extent,and help medical staff understand the compliance of home blood pres-sure,blood sugar,medication,exercise and secondary prevention in IS patients,and can save fol-low-up time and improve follow-up efficiency compared with manual follow-up,but its language rec-ognition and improvement of cooperation rate still need to be optimized.

Objective:To ascertain the activity concentration of gross α and β in foods around Fuqing nuclear power plant (NPP) site.Methods:Totally 167 food samples of 25 kinds within 6 categories were collected from the surveillance areas and control areas around Fuqing NPP site. The total radioactivity was analyzed using the food samples. Paired rank sum test was used to determine the influence of the operation of Fuqing NPP on the total radioactivity in foods in surrounding areas. The multiple local rank sum test was used to assess the difference in total radioactivity in different types of foods.Results:The average gross α in poultry meat, vegetables, crops, aquatic products, milk and tea was 0.65, 1.96, 1.41, 3.80, 1.33, 7.67 Bq/kg in surveillance areas and 0.56, 3.24, 2.04, 3.70, 2.24, 9.05 Bq/kg in reference areas, respectively, around Fuqing NPP site. The average gross β (subtracting 40K) in poultry meat, vegetables, crops, aquatic products, milk and tea was 7.0, 10.5, 6.1, 23.5, 24.7, 8.6 Bq/kg in surveillance areas and 7.4, 8.3, 14.5, 22.1, 21.3, 11.0 Bq/kg in reference areas, respectively, around Fuqing NPP site. The Wilcoxon paired rank test showed that there was no significant difference in the gross α and β in foods between surveillance and reference areas around Fuqing NPP site ( P>0.05). The Kruskal-Wallis H test showed that the radioactivity of gross α and β in different foods was statistically significant ( χ2=23.325, 13.918, P<0.05). Conclusions:The increase was not found in total radioactivity in the surrounding foods since the operation of Fuqing NPP in 2015.

Objective:To construct a set of evaluation index system for the core ability of preventive medicine graduates to respond to sudden biological public health events.Methods:Research methods such as in-depth interviews and group discussions were used to determine the core competence structure, the Delphi method was used to conduct two rounds of expert consultation, and the index system and its weights were finally determined based on the consultation results of 21 experts on the system. Excel and SPSS 21.0 were used for data collation and statistical analysis.Results:The positive coefficient of expert consultation was greater than 80%, the authority coefficient was greater than 0.7, and the average was 0.906. The final index system was composed of 4 first-level indicators, 10 second-level indicators, and 39 third-level indicators.Conclusion:The evaluation index system can provide a reference for exploring effective ways to improve the core competence of graduates.