Aims This study was to determine the cost-effectiveness of dapagliflozin in heart failure with reduced ejection fraction (HFrEF) patients in China from a perspective of health care payers. Methods and results We built a Markov model to perform a cost-effectiveness analysis comparing standard treatment + dapagliflozin (10 mg, q.d.) with standard treatment for HFrEF. The base case in our simulation was a 65-yearold HFrEF patient and was modelled over 15 years. Inputs of the model were derived from the Dapagliflozin and Prevention of Adverse Outcomes in Heart Failure trial and other relevant data from China. Costs, quality-adjusted life year (QALY), and incremental cost-effectiveness ratio (ICER) were estimated for adding dapagliflozin relative to standard treatment. Costs and QALY were discounted at a 4.2% rate annually. All costs are presented in 2017 US dollars. Dapagliflozin would be considered very cost-effective if the ICER was lower than a willingness-to-pay (WTP) threshold of $8573.4. Uncertainty was assessed in our model using one-way, two-way, and probabilistic sensitivity analysis (PSA). In our base case, compared with standard treatment, adding dapagliflozin was more expensive ($5829.4 vs. $4377.1) but more effective (4.82 vs. 4.44 QALYs). The respondent ICER was $3827.6 per QALY gained at 15-year follow-up. When the simulated horizon was longer than 3.5 years, the respondent ICER became lower than the WTP threshold. The inputs with the largest impact on ICER were the cost of dapagliflozin, the cardiovascular mortality in both groups, and the cost of hospitalization for heart failure. Most results of sensitivity analysis were robust. PSA showed a similar result as the base case (ICER = $4412.5 per QALY gained). In Monte Carlo simulation, at a WTP threshold of $8573.4 per QALY, dapagliflozin was considered very cost-effective in 53.10% of the simulations. Conclusions Dapagliflozin was a very cost-effective treatment option for HFrEF patients in China according to the result of our model. Our findings will help doctors and health care payers to make decisions in clinical practice. Future real-world studies of cost-effectiveness of dapagliflozin based on Chinese population were also needed.

Radiation therapy (RT) for the treatment of thoracic tumors causes radiation-induced heart disease (RIHD). Radiation-induced myocardial fibrosis (RIMF) is both an acute and chronic stage of RIHD, depending on the specific pathology, and is thought to be a major risk factor for adverse myocardial remodeling and vascular changes. With the use of more three-dimensional conformal radiation regimens and early screenings and diagnoses for RIMF, the incidence of RIHD is declining, but it still must be carefully investigated to minimize the mortality and morbidity of patients with thoracic malignancies after RT treatment. Effective methods for preventing RIMF involve a decrease in the direct radiation dose in the heart, and early screening and diagnosis. Medications remain as a useful adjunct for preventing or treating RIMF. This review mainly discusses the cellular and molecular mechanisms underlying RIMF, and new therapeutic drugs that can potentially be developed from this knowledge.

The EDBD has protection on cardiomyocytes injured by H(2)O(2) through improving cell antioxidant ability, up-regulating hsp70 expression, and inhibiting caspase-3 activity.

Background: Computer-aided detection (CAD) system for accurate and automated prostate cancer (PCa) diagnosis have been developed, however, the diagnostic test accuracy of different CAD systems is still controversial. This systematic review aimed to assess the diagnostic accuracy of CAD systems based on magnetic resonance imaging for PCa. Methods: Cochrane library, PubMed, EMBASE and China Biology Medicine disc were systematically searched until March 2019 for original diagnostic studies. Two independent reviewers selected studies on CAD based on magnetic resonance imaging diagnosis of PCa and extracted the requisite data. Pooled sensitivity, specificity, and the area under the summary receiver operating characteristic curve were calculated to estimate the diagnostic accuracy of CAD system. Results: Fifteen studies involving 1945 patients were included in our analysis. The diagnostic meta-analysis showed that overall sensitivity of CAD system ranged from 0.47 to 1.00 and, specificity from 0.47 to 0.89. The pooled sensitivity of CAD system was 0.87 (95% CI: 0.76–0.94), pooled specificity 0.76 (95% CI: 0.62–0.85), and the area under curve (AUC) 0.89 (95% CI: 0.86–0.91). Subgroup analysis showed that the support vector machines produced the best AUC among the CAD classifiers, with sensitivity ranging from 0.87 to 0.92, and specificity from 0.47 to 0.95. Among different zones of prostate, CAD system produced the best AUC in the transitional zone than the peripheral zone and central gland; sensitivity ranged from 0.89 to 1.00, and specificity from 0.38 to 0.85. Conclusions: CAD system can help improve the diagnostic accuracy of PCa especially using the support vector machines classifier. Whether the performance of the CAD system depends on the specific locations of the prostate needs further investigation.

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