1.Investigation on teaching secretarial job in military teaching hospital
Ting JIANG ; Yanqiong GUO ; Guochun XIANG
Chinese Journal of Medical Education Research 2013;(3):269-272
Teaching hospital plays a central role in training excellent doctor.Clinical teaching secretaries act as the advisor,coordinator,logistics people and supervisor in hospital clinical teaching management.Their duties include helping leader form and fulfill teaching plan,collect and arrange teaching records.To better accomplish the teaching secretarial job,a clinical teaching secretary should keep improving professional quality and personal comprehensive ability,ameliorating working methods and enhancing innovative thinking in a sound managing and evaluating system.
2.Strongyloides stercoralis and strongyloidiasis
Yanmei GUO ; Weiqin ZHANG ; Yanqiong LI ; Benjiang ZHOU
Chinese Journal of Zoonoses 2014;(12):1257-1261,1266
ABSTRACT:Strongyloides stercoralis is an opportunistic parasitic nematode ,whose larvae can invade the lung ,brain ,liv‐er ,kidney and other organs of hosts and cause strongyloidiasis .The infection opportunity of strongyloidiasis increased with raised living standard ,changed lifestyle and family pets .So far ,the relevant domestic researches of strongyloidiasis are limited in case reports and epidemiological investigation ,but researches involving biological characteristics ,immune phenomenon and protective immune response in humans are still very little .Based on the references ,this review summarizes recent findings in morphology ,life cycle ,pathogenicity ,epidemiology ,immunology ,diagnosis and prevention of S .stercoralis for raising the awareness of strongyloidiasis .
3.Comparison of Radiological Tumor Response Based on iRECIST and RECIST 1.1 in Metastatic Clear-Cell Renal Cell Carcinoma Patients Treated with Programmed Cell Death-1 Inhibitor Therapy
Bingjie ZHENG ; Ji Hoon SHIN ; Hailiang LI ; Yanqiong CHEN ; Yuan GUO ; Meiyun WANG
Korean Journal of Radiology 2021;22(3):366-375
Objective:
To evaluate the radiological tumor response patterns and compare the response assessments based on immunebased therapeutics Response Evaluation Criteria in Solid Tumors (iRECIST) and RECIST 1.1 in metastatic clear-cell renal cell carcinoma (mccRCC) patients treated with programmed cell death-1 (PD-1) inhibitors.
Materials and Methods:
All mccRCC patients treated with PD-1 inhibitors at Henan Cancer Hospital, China, between January 2018 and April 2019, were retrospectively studied. A total of 30 mccRCC patients (20 males and 10 females; mean age, 55.6 years; age range, 37–79 years) were analyzed. The target lesions were quantified on consecutive CT scans during therapy using iRECIST and RECIST 1.1. The tumor growth rate was calculated before and after therapy initiation. The response patterns were analyzed, and the differences in tumor response assessments of the two criteria were compared. The intra- and inter-observer variabilities of iRECIST and RECIST 1.1 were also analyzed.
Results:
The objective response rate throughout therapy was 50% (95% confidence interval [CI]: 32.1–67.9) based on iRECIST and 30% (95% CI: 13.6–46.4) based on RECIST 1.1. The time-to-progression (TTP) based on iRECIST was longer than that based on RECIST 1.1 (median TTP: not reached vs. 170 days, p = 0.04). iRECIST and RECIST 1.1 were discordant in 8 cases, which were evaluated as immune-unconfirmed PD based on iRECIST and PD based on RECIST 1.1. Six patients (20%, 6/30) had pseudoprogression based on iRECIST, of which four demonstrated early pseudoprogression and two had delayed pseudoprogression.Significant differences in the tumor response assessments based on the two criteria were observed (p < 0.001). No patients demonstrated hyperprogression during the study period.
Conclusion
Our study confirmed that the iRECIST criteria are more capable of capturing immune-related atypical responses during immunotherapy, whereas conventional RECIST 1.1 may underestimate the benefit of PD-1 inhibitors. Pseudoprogression is not rare in mccRCC patients during PD-1 inhibitor therapy, and it may last for more than the recommended maximum of 8 weeks, indicating a limitation of the current strategy for immune response monitoring.
4.Influence factors and prevention counter measures of diabetic foot in type 2 diabetes patients
Yanqiong YAN ; Chuanqi CHEN ; Tiecheng GUO ; Xiaohong ZHONG
China Modern Doctor 2015;(2):20-23
Objective To investigate the diabetic foot occurrence and influence factors of the type 2 diabetes patients in order to provide the reference for the prevention and treatment of diabetic foot. Methods Three hundred and fifty-seven type 2 diabetes patients treated in the endocrinology department of our hospital from June 2012 to June 2014 were chosen as the research objects, the clinical data of them were collected by self-made questionnaire after consult-ing a large number of references. The clinical data was analyzed by descriptive statistics and binary classification logis-tic regression analysis of SPSS19.0 statistical package to find out the occurrence and influence factors of diabetic foot in type 2 diabetes patients. Results The diabetic foot incidence of type 2 diabetes patients was 6.44%(23/357). Multi-ariable Logistic regression analysis revealed that high degree of culture (β=-1.26, P=0.000), the degree of the related knowledge of diabetic foot (β=-1.44, P=0.000) and PDCA cycle management of diabetic foot (β=-1.68, P=0.000) were the postoperative factors of type 2 diabetes patients complicated with diabetic foot, abnormal glycosylated hemoglobin (β=1.16, P=0.000) was a risk factor for type 2 diabetes patients complicated with diabetic foot. Conclusion The diabetic foot incidence of the type 2 diabetes patients is high, it is affected by many factors. In clinical medical process, we should strengthen health education and blood glucose monitoring,and then optimize the prevention countermeasures for diabetes in order to effectively control the patients' blood sugar, reduce the occurrence of diabetic foot and improve the prognosis of patients.
5.Efficiency comparison of Kwak and ACR ( 2017 ) Thyroid Imaging Reporting and Data System ( TI‐RADS) classification :a polycentric retrospective study
Yu LIANG ; Linxian YUE ; Qin CHEN ; Jie LIN ; Daoning GUO ; Peng HE ; Fang YANG ; Wensheng YUE ; Hong ZHENG ; Jiaquan RUAN ; Haijun LIU ; Jianqiong SONG ; Lingying YANG ; Juan WANG ; Chengting ZHOU ; Yutian WU ; Siyi WANG ; Yanqiong TANG ; Mengxia YUAN ; Yan ZHAO
Chinese Journal of Ultrasonography 2019;28(5):419-424
Objective To evaluate the diagnostic efficacy of Kwak and ACR( 2017 ) thyroid imaging reporting and data systems ( T I‐RADS ) for thyroid nodules . Methods Cases of thyroid nodule who underwent surgery from January 2015 to M arch 2018 in 15 hospitals in Sichuan province were collected and the ultrasonographic features of thyroid nodules were retrospectively analyzed by trained senior ultrasound physicians using Kwak and ACR T I‐RADS classification methods . Totally ,12 712 thyroid nodules were observed ,7 023 thyroid nodules in 7 023 cases with complete ultrasound and surgical and pathological data were eventually enrolled in the study . T hyroid nodules with solid ,hypoechoic or very hypoechoic ,tall/wide ratio ≥ 1 , margin ill‐defined and microcalcification were classified as malignant signs of ultrasound . M alignant percentage was calculated and diagnostic tests were performed . Results ① T here was a statistical difference between the benign and malignant nodules in the two types of T I‐RADS classification ( P<0 .01) . ② T he area under ROC curve of Kwak and ACR in the diagnosis of malignant nodules were 0 .89 and 0 .84 ,respectively . T he Youden index of Kwak and ACR were 0 .66 and 0 .57 ,respectively . ③Taking Kwak T I4B and ACR T R4 as critical points for malignancy ,the sensitivity ,specificity ,positive predictive value and negative predictive value of Kwak T I 4B were 75 .0% ,90 .9% ,83 .2% ,and 85 .9% , respectively . T he accuracy of Kwak T I4B was 84 .9% ; T he sensitivity ,specificity ,positive predictive value and negative predictive value of ACR T R4 were 88 .2% ,68 .9% ,62 .9% ,and 90 .8% ,respectively . T he accuracy of ACR T R4 was 76 .2% . T he Kappa value of Kwak TI4B and ACR T R4 was 0 .52 . T he χ2 value of Kwak T I4B and ACR T R4 was 2 174 .6 ( P < 0 .01 ) . Conclusions T he diagnostic values of two T I‐RADS classification methods for thyroid malignant nodules are high . T he overall efficiency of Kwak T I‐RADS classification method is better than that of ACR TI‐RADS classification method .