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To establish a pre-test probability model of coronary heart disease (CHD) combined with cardiopulmonary exercise test (CPET) indexes and to compare the clinical effectiveness with Duke clinical score (DCS) and updated Diamond-Forrester model (UDFM), thus further explore the predictive value. 342 cases were used to establish the prediction model equation and another 80 cases were used to verify the effectiveness. The patients were divided into CHD group (n = 157) and non-CHD group (n = 185) according to coronary artery stenosis degree >50% or not. Combining DCS and UDFM as reference models with CPET indexes, a multivariate logistic regression model was established. The area under the ROC curve of the three models were calculated to compare the predictive effectiveness. There were significant differences in gender, chest pain type, myocardial infarction history, hypertension history, smoking, pathological Q wave and ST-T change between two groups (P < 0.01), as well as age, LVEF, heart rate at anaerobic domain, peak oxygen uptake in kilograms of body weight, percentage of peak oxygen uptake to the predicted value, the oxygen uptake efficiency slope and carbon dioxide ventilation equivalent slope (P < 0.05). Multivariate analysis showed gender, age, chest pain type, myocardial infarction history, hypertension history, smoking, pathological Q wave, ST-T change, and peak oxygen pulse were independent risk factors of CHD. The pre-test probability model of CHD combined with CPET indexes has good distinguish and calibrate ability, its prediction accuracy is slightly better than DCS and UDFM, which still needs to be verified externally in more samples. [ABSTRACT FROM AUTHOR]

To establish a pre-test probability model of coronary heart disease (CHD) combined with cardiopulmonary exercise test (CPET) indexes and to compare the clinical effectiveness with Duke clinical score (DCS) and updated Diamond-Forrester model (UDFM), thus further explore the predictive value. 342 cases were used to establish the prediction model equation and another 80 cases were used to verify the effectiveness. The patients were divided into CHD group (n = 157) and non-CHD group (n = 185) according to coronary artery stenosis degree >50% or not. Combining DCS and UDFM as reference models with CPET indexes, a multivariate logistic regression model was established. The area under the ROC curve of the three models were calculated to compare the predictive effectiveness. There were significant differences in gender, chest pain type, myocardial infarction history, hypertension history, smoking, pathological Q wave and ST-T change between two groups (P < 0.01), as well as age, LVEF, heart rate at anaerobic domain, peak oxygen uptake in kilograms of body weight, percentage of peak oxygen uptake to the predicted value, the oxygen uptake efficiency slope and carbon dioxide ventilation equivalent slope (P < 0.05). Multivariate analysis showed gender, age, chest pain type, myocardial infarction history, hypertension history, smoking, pathological Q wave, ST-T change, and peak oxygen pulse were independent risk factors of CHD. The pre-test probability model of CHD combined with CPET indexes has good distinguish and calibrate ability, its prediction accuracy is slightly better than DCS and UDFM, which still needs to be verified externally in more samples. [ABSTRACT FROM AUTHOR]

Objective: Currently, only a few studies have been conducted on the mental status recovery in elderly aortic stenosis (AS) patients after treatment. How transcatheter aortic valve replacement (TAVR) and surgical aortic valve replacement (SAVR) differentially impinge on the mental status of elderly AS patients is completely unknown. The present prospective study aims to investigate this question by comparing the post-treatment levels of depression and anxiety, quality of life and frailty.Methods: A total of 120 elderly patients (age above 70) with symptomatic AS were included, where 78 of them were treated with TAVR and 42 of them were treated with SAVR. Levels of depression and anxiety, quality of life and frailty were assessed by the Chinese version of Hospital Anxiety and Depression Scale (HADS), World Health Organization Quality of Life Instrument-Older Adults Module (WHOQOL-OLD) and clinical frailty scale, respectively. Scores were recorded and compared at admission, 1 month, 4 months and 8 months after treatment.Results: Before treatment, both patient groups had similar baseline characteristics and all mental parameters. During the follow-up period, patients in the TAVR group demonstrated significant improvement in all assessed mental parameters to certain extent compared to the SAVR group. Specifically, frailty was significantly improved in the TAVR-treated patients at all three follow-up time points. Levels of depression and anxiety were significantly improved 8 months after treatment, although the remaining patient number is limited. Quality of life was only significantly improved 1 month after treatment.Conclusion: TAVR may provide a better mental recovery outcome in elderly AS patients. [ABSTRACT FROM AUTHOR]

Minimally invasive interventional diagnosis and treatment center, Affiliated Zhongshan Hospital of Dalian University, No.6 Jie Fang Street, Zhongshan District, Dalian 116001, Liaoning Province, China. These authors contributed equally: Si Xu Liu, Sheng Qin Yu, Guang Sheng Zhao and Feng Zhi Sun. [Extracted from the article]