Efficacy and safety of SHR8554 on postoperative pain in subjects with moderate to severe acute pain following orthopedic surgery: A multicenter, randomized, double-blind, dose-explored, active-controlled, phase II/III clinical trial.

Biased µ-opioid receptor (MOR) agonists enhance pain relief by selectively activating G protein-coupled receptor signaling and minimizing β-arrestin-2 activation, resulting in fewer side effects. This multicenter Phase II/III trial evaluated the optimal dosage, efficacy, and safety of SHR8554, a biased MOR agonist, for postoperative pain management following orthopedic surgery. In Phase II, 121 patients were divided into four groups to receive varying patient-controlled analgesia (PCA) doses of SHR8554 or morphine.

Predicting who has delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage using machine learning approach: a multicenter, retrospective cohort study.

Background: Early prediction of delayed cerebral ischemia (DCI) is critical to improving the prognosis of aneurysmal subarachnoid hemorrhage (aSAH). Machine learning (ML) algorithms can learn from intricate information unbiasedly and facilitate the early identification of clinical outcomes. This study aimed to construct and compare the ability of different ML models to predict DCI after aSAH.

Safety and efficacy of the DragonFly system for transcatheter valve repair of degenerative mitral regurgitation: one-year results of the DRAGONFLY-DMR trial.

Background: Severe degenerative mitral regurgitation (DMR) can cause a poor prognosis if left untreated. For patients considered at prohibitive surgical risk, transcatheter edge-to-edge repair (TEER) has become an accepted alternative therapy. The DragonFly transcatheter valve repair system is an innovative evolution of the mitral TEER device family to treat DMR.

Toward the Internet of Medical Things: Architecture, trends and challenges.

In recent years, the growing pervasiveness of wearable technology has created new opportunities for medical and emergency rescue operations to protect users' health and safety, such as cost-effective medical solutions, more convenient healthcare and quick hospital treatments, which make it easier for the Internet of Medical Things (IoMT) to evolve. The study first presents an overview of the IoMT before introducing the IoMT architecture. Later, it portrays an overview of the core technologies of the IoMT, including cloud computing, big data and artificial intelligence, and it elucidates their utilization within the healthcare system.

Renal Ischemia-reperfusion Injury Attenuated by Exosomes Extracted From Splenic Ischemic Preconditioning Models.

Background: To investigate the protective effects of exosomes extracted from splenic ischemic preconditioning (sIPC) models on renal ischemia-reperfusion injury (IRI).

Methods: sIPC was conducted on mice before renal IRI, and exosomes derived from sIPC mice were infused into a mouse model of renal IRI. The kidney tissue and serum were collected 24 h later.

The Association of Sperm DNA Fragment and Assisted Reproductive Outcomes: A Meta-Analysis.

Objective: To analyze the effect of sperm DNA fragmentation index (DFI) on the outcomes of in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI).

Methods: Literature search was conducted on English databases PubMed, Cochrane, and Embase to obtain eligible studies.

Results: A total of 11 cohort studies were included and analyzed using the random effects model.

Efficacy and safety of bosentan in the treatment of persistent pulmonary hypertension of the newborn: a Metaanalysis.

Objectives: To systematically evaluate the efficacy and safety of bosentan in the treatment of persistent pulmonary hypertension of the newborn (PPHN).

Methods: Chinese Journal Full-text Database, Weipu Database, Wanfang Data, China Biology Medicine disc, PubMed, Web of Science, Embase, and Cochrane Library were searched for literature on bosentan in the treatment of PPHN published up to August 31, 2021.

Results: A total of 8 randomized controlled trials were included for Meta analysis.

Convolutional squeeze-and-excitation network for ECG arrhythmia detection.

Automatic detection of arrhythmia through an electrocardiogram (ECG) is of great significance for the prevention and treatment of cardiovascular diseases. In Convolutional neural network, the ECG signal is converted into multiple feature channels with equal weights through the convolution operation. Multiple feature channels can provide richer and more comprehensive information, but also contain redundant information, which will affect the diagnosis of arrhythmia, so feature channels that contain arrhythmia information should be paid attention to and given larger weight.

Association between regulatory region polymorphisms and susceptibility to childhood asthma.

Objectives: To study the association of β2-drenergic receptor () regulatory region single nucleotides polymorphism (SNP)/haplotypes at rs11168070, rs17108803, rs2053044, rs12654778, rs11959427, and rs2895795 loci with childhood asthma.

Methods: A total of 143 children with asthma who attended the hospital from October 2016 to October 2020 were enrolled as the asthma group, among whom 61 children had mild symptoms (mild group) and 82 children had moderate-to-severe symptoms (moderate-to-severe group). A total of 137 healthy children were enrolled as the control group.