Effect of single intravenous injection of esketamine on quality of recovery during early period after modified radical mastectomy for breast cancer: A retrospective study.

Objective: To assess the impact of a single esketamine intravenous (IV) injection on the quality of recovery during early period after modified radical mastectomy for breast cancer. Methods: This retrospective study included 80 patients who underwent modified radical mastectomy under general anesthesia in Huzhou Maternity & Child Health Care Hospital from March to October 2022. All patients were between 35 to 55 years, weighting between 45 and 70 kg and Grade-I or II according to the American Society of Anesthesiologists (ASA). Patients were grouped based on the type of pain management used. Patients (n=40) who were given 0.25 mg/kg esketamine single IV injection prior to completion of the surgery were assigned to Group-E, and patients (n=40) who were not treated with esketamine, comprised the control Group-C. Patients' data, such as education years, operation time, blood loss, the 9-item Quality of Recovery (QoR-9) scores before the anesthesia induction (T0), one (T1) and two hours after the extubation (T2), the 40-item Quality of Recovery (QoR-40) scores one (D1) and two days after the surgery (D2), and the rate of adverse reactions were assessed in both groups. Results: Compared with T0, the QoR-9 scores at T1 and T2 were markedly lower in all patients. Compared to Group-C, the QoR-9 scores at T1 and T2 in Group-E were considerably increased (P<0.05). Similarly, the QoR-40 scores on D1 and D2 in Group-E were significantly higher compared to Group-C (P

A novel visceral pain model of uterine cervix inflammation in rat.

Treatment of visceral pain originating from the uterine cervix is a substantial clinical problem. The underlying mechanisms of such visceral pain remain unclear mainly due to a lack of reliable model. This study aimed to develop and evaluate the performance of a rat model of pain induced by uterine cervix inflammation. Rats were randomized to six groups according to the solution injected into the uterine cervix: normal saline, vehicle, capsaicin (0.3 mg, 0.6 mg, 0.9 mg), capsaicin 0.9 mg + morphine (n = 15 in each group). Spontaneous behaviors after cervical injection were recorded by a computerized video system and analyzed offline. An equation for calculating a novel pain score was derived from particular behaviors, based on Pearson's correlation analysis and regression analysis. c-Fos expression in the spinal cord was detected. The pain score and c-fos expression in the spinal cord were highest in the 0.9 mg capsaicin group and lowest in the normal saline and vehicle groups (P < 0.05). Intrathecal morphine significantly decreased the pain score (P < 0.05) and c-fos expression in the spinal cord (P < 0.05). Injection of capsaicin into the uterine cervix in rats could be a practical model of inflammatory cervical pain, which can be evaluated using our novel pain score. This model will provide further insight into the mechanism underlying visceral pain originating from the uterine cervix.

Numerical approach for water distribution system model calibration through incorporation of multiple stochastic prior distributions.

The use of water distribution system (WDS) hydraulic models facilitates the design and operation of such systems. For offline or online model applications, nodal water demands-variables with the highest levels of uncertainty-should be carefully calibrated because these can considerably affect the accuracy of model outputs in terms of hydraulics and water quality. With the increasing utilization of automatic water metering technology, nodal water demands can be modeled with high time resolution in certain forms of probability distributions. However, the fusion of various demand probability distributions with conventional measurements to improve the accuracy of WDS hydraulic models is a difficult problem. To resolve this, a numerical approach that incorporates various probability distributions and field measurements to calibrate nodal water demands based on Bayesian theory is proposed. In particular, the linearization of the exponential family prior distribution is well elaborated in this paper. The application of this proposed approach in two cases demonstrates that the technique is more accurate than methods that merely utilize measurements or prior information. Because this technique can avoid the overfitting of measurement noise and allow the retention of calibrated nodal water demands with stochastic nature, it is robust when errors or uncertainties exist in prior demand distribution or measurements. This method is expected to improve the WDS model accuracy relative to the increasing use of automatic water metering technology.

Effect of chronic pretreatment with 17ß-estradiol and/or progesterone on the nociceptive response to uterine cervical distension in a rat model.

It is widely known that visceral pain is more prevalent in women than in men, and this phenomenon is interpreted as a consequence of the gonadal hormone modulation of pain perception and transduction. Uterine cervical distension might cause obstetric and gynecologic pain with clinical relevance to visceral pain. In this study, we focused on the roles of 17ß-estradiol and progesterone in visceral nociception with the use of a rat model of uterine cervical distension. Female ovariectomized rats were injected with 17ß-estradiol (E2) or progesterone (P4) for 21 days, after which visceral pain-induced spinal c-fos expression and visceromotor reflex changes were compared between ovariectomized and hormone-substituted groups. We found that uterine cervical distension induced a drastic increase in spinal c-fos expression and visceromotor reflex activity, and ovariectomy inhibited the increase in c-fos expression induced by visceral pain; this inhibition was reversed by estrogen but not progesterone replacement. This study demonstrates that estrogen is involved in uterine cervical nociception, while progesterone plays less of a significant role.