Effect of esketamine on haemodynamic fluctuations in patients undergoing hysteroscopic surgery: A prospective, double-blind randomized clinical trial.

AIMS: We explored whether esketamine anesthesia during hysteroscopic surgery can reduce intraoperative hemodynamic fluctuations and improve patient benefit. METHODS: A total of 170 patients undergoing hysteroscopic surgery were enrolled, and 151 patients were finally included in the analysis, among which 19 used vasoactive drugs during surgery. Patients were randomly assigned to either the esketamine anesthesia group (E group) or the sufentanil anesthesia group (S group). The primary outcomes were blood pressure and heart rate during the surgery. Secondary outcomes included resistance to laryngeal mask insertion, demand for propofol and remifentanil, nausea and vomiting, Richmond Agitation and Sedation Scale (RASS), dizziness and pain intensity after resuscitation, vasoactive medication treatment, hospitalization time and expenses. RESULTS: E group had a more stable heart rate, systolic blood pressure, diastolic blood pressure and mean blood pressure than the S group (p < 0.001). Patients in E group had a higher demand for propofol (p < 0.001) but better RASS scores (p < 0.001) after resuscitation. The incidence of intraoperative vasoactive medication use was higher in the S group (18.4% vs. 6.7%, p = 0.029). There were no statistically significant differences in terms of resistance to laryngeal mask insertion, remifentanil demand, time required for resuscitation, postoperative pain, dizziness, nausea or vomiting. CONCLUSIONS: Compared with sufentanil, esketamine-induced anesthesia during hysteroscopic surgery can reduce intraoperative hemodynamic fluctuations and the incidence of intraoperative vasoactive medication. Although esketamine-induced anesthesia may increase the demand for propofol during surgery, it does not affect the anesthesia recovery time and the quality of patient recovery is better.

Optical-and-radar Image Fusion for Dynamic Estimation of Spin Satellites.

As more and more satellites are launched into the space, dynamic estimation of spin satellites has become a critical component of the space situation awareness application. Some explored studies using exterior measurements from different sensors such as optical device and inverse synthetic aperture radar (ISAR) to estimate dynamic parameters of spin satellites. As a single sensor normally provides two-dimensional observation, three-dimensional estimations resulting from these algorithms are strictly related to the prior knowledge of targets characteristics. As a result, it is difficult to expand these methods to other satellites. In order to support the dynamic estimation of most spin satellites, this paper presents a novel dynamic estimation approach which employs synchronized optical-and-radar images. The optical-and-radar fusion strategy has demonstrated its superiority in image analysis field, and breaks down the dynamic estimation of spin satellites into two sub-problems: target attitude estimation and spin parameters estimation. In this work, the proposed algorithm deduces two explicit expressions of target dynamic parameters under the imaging projection model of the joint optical-and-radar observation. Through the particle swarm optimization (PSO), target dynamic parameters are determined in two stages. This paper presents some experiments illustrating the feasibility of the proposed method and subsequent conclusions, which reflect advantages of the joint optical-and-radar observation mode in image interpretation.