ABSTRACT
Objective:To compare the value of Caprini, Padua and Autar risk assessment models in the risk assessment of venous thromboembolism in hospitalized stroke patients.Methods:A retrospective case-control study were used to collect hospitalized stroke patients in the neurology department of Xiangya Hospital from January 1, 2018 to June 30, 2020. 75 patients with venous thromboembolism (VTE) were VTE group and 75 patients without VTE were control group. The risk of thrombosis was assessed by Caprini risk assessment model, Padua risk assessment model and Autar risk assessment model respectively. The predictive value of each model on the risk of VTE formation in stroke patients was analyzed by receiver operating characteristic (ROC) curve and area under the curve (AUC).Results:The areas under the curve of Caprini, Padua and Autar risk assessment models for predicting the risk of VTE formation in stroke patients were 0.768±0.039, 0.746±0.040 and 0.710±0.042 respectively. The sensitivity, specificity and accuracy were 81.3%, 61.3%, 71.3%(Caprini), 72.0%, 72.0%, 72.0%(Padua), 66.7%, 68.0% and 67.3%(Autar) respectively. There was no significant difference in the prediction value of the three models on the formation risk of stroke VTE (all P>0.05). The technique for order preference by similarity to ideal solution (TOPSIS) method was used to comprehensively evaluate the AUC, sensitivity, specificity and accuracy of the three risk assessment models. Padua risk assessment model was the best, followed by Caprini risk assessment model and Autar risk assessment model. Conclusions:The Caprini, Padua, and Autar risk assessment scales can well predict the risk of VTE in stroke patients. The Caprini scale has the highest sensitivity and the Padua scale has the highest specificity. There is no significant difference in the predictive value of the three scales. Comprehensive evaluation of predictive value: Padua risk assessment scale is the best.
ABSTRACT
In this study, the current status for breast diseases in a region with high-incidence of cervical cancer were epidemiologically investigated. From March to August, 2009, 17618 women, from Wufeng area of Hubei province, China, were recruited to screen breast diseases by using breast infrared diagnostic apparatus. Other diagnostic methods, such as B-mode ultrasound, X-ray mammography, needle biopsy and pathological examination were, if necessary, used to further confirm the diagnosis. The screening showed that 5990 of 17618 cases (34.00%) had breast diseases, 5843 (33.16%) had mammary gland hyperplasia, 48 (0.27%) had breast fibroadenoma, 11 (0.06%) had breast carcinoma, and 88 (0.50%) had other breast diseases. The peak morbidity of breast cancer was found in the women aged 50-60 ages. The morbidity of breast cancer was significantly increased in women elder than or equal to 50 years old (n=8, 0.157%) in comparison with that in the subjects younger than 50 years old (n=3, 0.024%) (u=2.327, P<0.05). It was shown that the occurrence of breast diseases was concentrated in women aged 20-40 years, while the total morbidity reached its peak at the age of 30 years and then decreased sharply after age of 40. Compared with the patients elder than or equal to 40 years old (n=3289, 27.46%), the morbidity rate of breast diseases was significantly increased in women less than 40 years old (2648 cases, 47.18%; P<0.001). However, there was no significant difference in the morbidity of breast diseases between the age group of 20-29 years and that of 30-39 years (P=0.453), and both of them were high. There was no significant association between the morbidity of breast diseases and cervical cancer. Since the morbidity of breast diseases was higher among young women, more attention should be paid to the screening of breast diseases among young women for early diagnosis.