Quantitative assessment of betamethasone dual-acting formulation in urine of patients with rheumatoid arthritis and ankylosing spondylitis after single-dose intramuscular administration and its application to long-term pharmacokinetic study

Pre-emptive infiltration with betamethasone and ropivacaine for postoperative pain in laminoplasty and laminectomy (PRE-EASE): a prospective randomized controlled trial

BACKGROUND

Postoperative pain after laminoplasty and laminectomy occurs partially from local trauma of the paraspinal tissue. Finding a multimodal analgesic cocktail to enhance the duration and effect of local infiltration analgesia is crucial. Because of the rapid onset and long duration of action of betamethasone, the authors hypothesized that, a pre-emptive multimodal infiltration regimen of betamethasone and ropivacaine reduces pain scores and opioid demand, and improves patient satisfaction following laminoplasty and laminectomy.

MATERIALS AND METHODS

This prospective, randomized, open-label, blinded endpoint study was conducted between 1 September 2021 and 3 June 2022, and included patients between the ages of 18 and 64 scheduled for elective laminoplasty or laminectomy under general anesthesia, with American Society of Anesthesiologists classification I/II. One hundred sixteen patients were randomly assigned to either the BR (Betamethasone-Ropivacaine) group or the R (Ropivacaine) group in a 1:1 ratio. Each group received pre-emptive infiltration of a total of 10 ml study solution into each level. Every 30 ml of study solution composed of 0.5 ml of betamethasone plus 14.5 ml of saline and 15 ml of 1% ropivacaine for the BR group, and 15 ml of 1% ropivacaine added to 15 ml of saline for the R group. Infiltration of epidural space and intrathecal space were avoided and the spinous process, transverse process, facet joints, and lamina were injected, along with paravertebral muscles and subcutaneous tissue. Cumulative 48 h postoperative butorphanol consumption via PCA (Patient-controlled analgesia) was the primary outcome. Intention-to-treat (ITT) principle was used for primary analysis.

RESULTS

Baseline characteristics were identical in both groups ( P >0.05). The cumulative 48 h postoperative butorphanol consumption via PCA was 3.0±1.4 mg in the BR group ( n =58), and 7.1±1.2 mg in the R group ( n =58) ( P <0.001). Overall cumulative opioid demand was lower at different time intervals in the BR group ( P <0.001), along with the estimated median time of first analgesia demand via PCA (3.3 h in the BR group and 1.6 h in the R group). The visual analog scale (VAS) score at movement and rest were also significantly lower until 3 months and 6 weeks, respectively. No side effects or adverse events associated with the intervention were observed in this study.

CONCLUSIONS

Pre-emptive analgesia with betamethasone and ropivacaine provides better postoperative pain management following laminoplasty and laminectomy, compared to ropivacaine alone. This is an effective technique worthy of further evaluation.

Injectable Anti-Inflammatory Supramolecular Nanofiber Hydrogel to Promote Anti-VEGF Therapy in Age-Related Macular Degeneration Treatment

Age-related macular degeneration (AMD) is a major cause of visual impairment and severe vision loss worldwide, while the currently available treatments are often unsatisfactory. Previous studies have demonstrated both inflammation and oxidative-stress-induced damage to the retinal pigment epithelium are involved in the pathogenesis of aberrant development of blood vessels in wet AMD (wet-AMD). Although antivascular endothelial growth factor (VEGF) therapy (e.g., Ranibizumab) can impair the growth of new blood vessels, side effects are still found with repeated monthly intravitreal injections. Here, an injectable antibody-loaded supramolecular nanofiber hydrogel is fabricated by simply mixing betamethasone phosphate (BetP), a clinic anti-inflammatory drug, anti-VEGF, the gold-standard anti-VEGF drug for AMD treatment, with CaCl₂ . Upon intravitreal injection, such BetP-based hydrogel (BetP-Gel), while enabling long-term sustained release of anti-VEGF to inhibit vascular proliferation in the retina and attenuate choroidal neovascularization, can also scavenge reactive oxygen species to reduce local inflammation. Remarkably, such BetP-Gel can dramatically prolong the effective treatment time of conventional anti-VEGF therapy. Notably, anti-VEGF-loaded supramolecular hydrogel based on all clinically approved agents may be readily translated into clinical use for AMD treatment, with the potential to replace the current anti-VEGF therapy.

A Comparative Study of the Respiratory Neonatal Outcomes Utilizing Dexamethasone Sodium Phosphate versus a Mixture of Betamethasone Dipropionate and Betamethasone Sodium Phosphate as an Antenatal Corticosteroid Therapy

Objective

The aim of this study is to compare the respiratory neonatal outcomes utilizing antenatal dexamethasone sodium phosphate (DSP) versus a mixture of betamethasone dipropionate and betamethasone sodium phosphate (B-DP/SP) for preterm births.

Patients and Methods

All neonatal intensive care unit (NICU) admissions for prematurity were retrospectively identified at our center in the period between September 2016 and September 2018. Pregnant women expected to give preterm birth and received steroid injections whether it is DSP or B-DP/SP were included in the study. Maternal and obstetrical data along with the corresponding respiratory neonatal outcomes were extracted and analyzed. The population was categorized according to the gestational age into extremely preterm (less than 28 weeks), very preterm (28 up to 32 weeks) and moderate or late preterm (32 up to 37 weeks) in which the repository outcomes were compared in each sub-group.

Results

A total of 650 premature neonates were included in the analysis. B-DP/SP illustrated a significant reduction in the occurrence of respiratory distress syndrome (RDS) among moderate or late preterm neonates (P = 0.003) compared to DSP. In contrast, a non-significant difference was observed between B-DP/SP and DSP regarding apnea of prematurity and transient tachypnea of the newborn. The number of neonates developed chronic lung disease has been remarkably reduced when using DSP in extremely (P = 0.038) and very (P = 0.046) preterm neonates when compared to B-DP/SP.

Conclusion

The dual acting B-DP/SP formulation could possess a significant potential in reducing RDS in moderate or late preterm neonates, while DSP groups exhibit a favorable result in the development of chronic lung disease in extreme and very preterm cohorts. Such findings emphasize the need of further clinical trials, pharmacokinetics, pharmacodynamics and cost effectiveness studies to evaluate the durability of these findings.

Convolutional neural network in proteomics and metabolomics for determination of comorbidity between cancer and schizophrenia

The association between cancer risk and schizophrenia is widely debated. Despite many epidemiological studies, there is still no strong evidence regarding the molecular basis for the comorbidity between these two pathological conditions. The vast majority of assays have been performed using clinical records of schizophrenic patients or those undergoing cancer treatment and monitored for sufficient time to find shared features between the considered conditions. We performed mass spectrometry-based proteomic and metabolomic investigations of patients with different cancer phenotypes (breast, ovarian, renal, and prostate) and patients with schizophrenia. The resulting vast quantity of proteomic and metabolomic data were then processed using systems biology and one-dimensional (1D) convolutional neural network (1DCNN) machine learning approaches. Traditional systematic approaches permit the segregation of schizophrenia and cancer phenotypes on the level of biological processes, while 1DCNN recognized "signatures" that could segregate distinct cancer phenotypes and schizophrenia at the comorbidity level. The designed network efficiently discriminated unrelated pathologies with a model accuracy of 0.90 and different subtypes of oncophenotypes with an accuracy of 0.94. The proposed strategy integrates systematic analysis of identified compounds and application of 1DCNN model for unidentified ones to reveal the similarity between distinct phenotypes.