Purpose. The aim of this current review was to confirm the efficacy of intra-articular steroid therapy (IAST) for patients with hip osteoarthritis (OA) and discuss the duration and influential factors of IAST. Methods. Online databases (Medline, EMBASE, and Web of Science) were searched from inception to May 2019. Both randomized controlled trials (RCTs) and noncontrolled trials assessing the efficacy of hip IAST on pain were included. Common demographics data were extracted using a standardized form. Quality was assessed on the basis of Oxford Centre for Evidence-Based Medicine 2011 Levels of Evidence. Results. 12 trials met the inclusion criteria. According to data from individual trials, IAST had significant efficacy on hip OA in both immediate and delay pain reduction, which persisted up to 12 weeks after IAST. The influences of the baseline severity of hip OA or synovitis and injection dose or volume on the clinical outcome of IAST were still controversial. The IAST appeared to be well tolerant by most of the participants. Conclusion. IAST was proved to be an efficacious therapy in both immediate and delay pain reduction for hip OA patients within 12 weeks. The longer follow-up data of efficacy and safety and potentially influential factors are still unclear and needed further confirmation.

Although deep reinforcement learning (RL) has been successfully applied to a variety of robotic control tasks, it's still challenging to apply it to real-world tasks, due to the poor sample efficiency. Attempting to overcome this shortcoming, several works focus on reusing the collected trajectory data during the training by decomposing them into a set of policyirrelevant discrete transitions. However, their improvements are somewhat marginal since i) the amount of the transitions is usually small, and ii) the value assignment only happens in the joint states. To address these issues, this paper introduces a concise yet powerful method to construct Continuous Transition, which exploits the trajectory information by exploiting the potential transitions along the trajectory. Specifically, we propose to synthesize new transitions for training by linearly interpolating the conjunctive transitions. To keep the constructed transitions authentic, we also develop a discriminator to guide the construction process automatically. Extensive experiments demonstrate that our proposed method achieves a significant improvement in sample efficiency on various complex continuous robotic control problems in MuJoCo and outperforms the advanced modelbased / model-free RL methods.

Background There is a paucity of evidence regarding the association between visit‐to‐visit blood pressure variability and residual cardiovascular risk. We aimed to provide relevant evidence by determining whether high systolic blood pressure (SBP) variability in the optimal SBP levels still influences the risk of cardiovascular disease. Methods and Results We studied 7065 participants (aged 59.3±5.6 years; 44.3% men; and 82.9% White) in the ARIC (Atherosclerosis Risk in Communities) study with optimal SBP levels from visit 1 to visit 3. Visit‐to‐visit SBP variability was measured by variability independent of the mean in the primary analysis. The primary outcome was the major adverse cardiovascular event (MACE), defined as the first occurrence of all‐cause mortality, coronary heart disease, stroke, and heart failure. During a median follow‐up of 19.6 years, 2691 participants developed MACEs. After multivariable adjustment, the MACE risk was higher by 21% in participants with the highest SBP variability (variability independent of the mean quartile 4) compared with the lowest SBP variability participants (variability independent of the mean quartile 1) (hazard ratio, 1.21; 95% CI, 1.09–1.35). The restricted cubic spline showed that the hazard ratio for MACE was relatively linear, with a higher variability independent of the mean being associated with higher risk. These association were also found in the stratified analyses of participants with or without hypertension. Conclusions In adults with optimal SBP levels, higher visit‐to‐visit SBP variability was significantly associated with a higher risk of MACE regardless of whether they had hypertension. Therefore, it may be necessary to further focus on the visit‐to‐visit SBP variability even at the guideline‐recommended optimal blood pressure levels.

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