ObjectiveTo systematically review the efficacy and safety of extracorporeal shock wave therapy (ESWT) in the treatment of rotator cuff tendinopathy to provide evidence for clinical practice. MethodsDatabases including CENTRAL, MEDLINE, EMbase, CINAHL plus, PEDro, CNKI, CBM, WanFang Data, and VIP were searched to collect randomized controlled trials (RCTs) of ESWT in the treatment of rotator cuff tendinopathy from inception to January 11th, 2021. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed using RevMan 5.4 software. ResultsA total of 12 RCTs from 11 articles were included, including 529 subjects (273 in the case group and 256 in the control group). Meta-analysis showed that no significant difference between ESWT and placebo in pain improvement (SMD=−1.08, 95% CI −2.45 to 0.29, P=0.12), superior pain improvement in ESWT group than electroacupuncture group (SMD=−7.15, 95%CI −8.50 to −5.80, P<0.000 01), and no significant difference in pain improvement between ESWT as adjuvant therapy and acupuncture alone (SMD=−4.32, 95%CI −11.93 to 3.29, P=0.27). Regarding the Constant–Murley score (CMS) for shoulder joint function, ESWT was associated with an improved CMS compared with placebo (SMD=1.31, 95%CI 0.08 to 2.53, P=0.04). There was no significant difference in the improvement in the CMS between ESWT and other treatments (SMD=0.13, 95%CI −2.07 to 2.53, P=0.91). There was no significant difference in the improvement in the CMS between ESWT as adjuvant therapy and acupuncture alone (SMD=1.68, 95%CI −0.69 to 4.05, P=0.16). ConclusionsESWT may improve shoulder joint function in patients with rotator cuff tendinopathy, and the alleviation of pain in patients with rotator cuff tendinopathy requires further investigation. Due to the limited quality and quantity of included studies, the above conclusions requires further investigation by more high-quality studies.
With the development of photothermal nanomaterials, photothermal therapy based on near-infrared light excitation shows great potential for the bacterial infected wound treatment. At the same time, in order to improve the photothermal antibacterial effect of wound infection and reduce the damage of high temperature and heat to healthy tissue, the targeted bacteria strategy has been gradually applied in wound photothermal therapy. In this paper, several commonly used photothermal nanomaterials as well as their targeted bacterial strategies were introduced, and then their applications in photothermal antibacterial therapy, especially in bacterial infected wounds were described. Besides, the challenges of targeted photothermal antibacterial therapy in the wound healing application were analyzed, and the development of photothermal materials with targeted antibacterial property has prospected in order to provide a new idea for wound photothermal therapy.
In response to the problem that the traditional lower limb rehabilitation scale assessment method is time-consuming and difficult to use in exoskeleton rehabilitation training, this paper proposes a quantitative assessment method for lower limb walking ability based on lower limb exoskeleton robot training with multimodal synergistic information fusion. The method significantly improves the efficiency and reliability of the rehabilitation assessment process by introducing quantitative synergistic indicators fusing electrophysiological and kinematic level information. First, electromyographic and kinematic data of the lower extremity were collected from subjects trained to walk wearing an exoskeleton. Then, based on muscle synergy theory, a synergistic quantification algorithm was used to construct synergistic index features of electromyography and kinematics. Finally, the electrophysiological and kinematic level information was fused to build a modal feature fusion model and output the lower limb motor function score. The experimental results showed that the correlation coefficients of the constructed synergistic features of electromyography and kinematics with the clinical scale were 0.799 and 0.825, respectively. The results of the fused synergistic features in the K-nearest neighbor (KNN) model yielded higher correlation coefficients (r = 0.921, P < 0.01). This method can modify the rehabilitation training mode of the exoskeleton robot according to the assessment results, which provides a basis for the synchronized assessment-training mode of “human in the loop” and provides a potential method for remote rehabilitation training and assessment of the lower extremity.