Navigating the Incidence of Postoperative Arrhythmia and Hospitalization Length: The Role of Amiodarone and Other Antiarrhythmics in Prophylaxis.

Antiarrhythmic drugs play a pivotal role in managing and preventing arrhythmias. Amiodarone, classified as a class III antiarrhythmic, has been used prophylactically to effectively prevent atrial fibrillation postoperatively in cardiac surgeries. However, there is a lack of consensus on the use of amiodarone and other antiarrhythmic drugs as prophylaxis to reduce the occurrence of all types of postoperative arrhythmias in cardiac and non-cardiac surgeries. A comprehensive PubMed query yielded 614 relevant papers, of which 52 clinical trials were analyzed. The data collection included the class of antiarrhythmics, timing or method of drug administration, surgery type, type of arrhythmia and its incidence, and hospitalization length. Statistical analyses focused on prophylactic antiarrhythmics and their respective reductions in postoperative arrhythmias and hospitalization length. Prophylactic amiodarone alone compared to placebo demonstrated a significant reduction in postoperative arrhythmia incidence in cardiac and non-cardiac surgeries (24.01%, p<0.0001), and it was the only treatment group to significantly reduce hospitalization length versus placebo (p = 0.0441). Prophylactic use of class 4 antiarrhythmics versus placebo also demonstrated a significant reduction in postoperative arrhythmia incidence (28.01%, p<0.0001), and while there was no significant statistical reduction compared to amiodarone (4%, p=0.9941), a lack of abundant data provides a case for further research on the prophylactic use of class 4 antiarrhythmics for this indication. Amiodarone prophylaxis remains a prime cornerstone of therapy in reducing postoperative arrhythmia incidence and hospitalization length. Emerging data suggests a need for a broader exploration of alternative antiarrhythmic agents and combination therapies, particularly class 4 antiarrhythmics, in both cardiac and non-cardiac surgeries. This meta-analysis depicts the effectiveness of amiodarone, among other antiarrhythmics, in postoperative arrhythmia incidence and hospitalization length reduction in cardiac and non-cardiac surgeries.

Imaging Biomarkers to Predict Outcomes in Patients With Large B-Cell Lymphoma With a Day 28 Partial Response by 18F-FDG PET/CT Imaging Following CAR-T Therapy.

BACKGROUND: CD19 directed CAR-T therapy for Large B-cell lymphoma (LBCL) has shown great therapeutic response in patients with relapsed/refractory disease with response rates of 60-80%. However, in patients with a partial response (PR) on initial day 28 post CAR-T therapy imaging, clinical uncertainty remains as half of these patients will ultimately have relapsed disease.   PATIENTS: In 24 patients receiving CD19 directed CAR-T therapy for relapsed/refractory LBCL achieving a PR on day 28, we utilize imaging biomarkers by 18F-FDG PET/CT imaging at pre CAR-T therapy baseline and day 28 to determine factors that may predict best overall response (B-OR), progression free survival (PFS), and overall survival (OS).   METHODS: Out of 75 patients receiving CAR-T therapy at a single institution, we retrospectively identified and reviewed 25 (33%) as achieving a PR on day 28. PR was defined using the 2014 Lugano classification system. All patients received standard of care CD19 directed CAR-T therapy with axicabtagene ciloleucel. Two independent nuclear medicine physicians measured baseline (pre-CAR-T therapy) and day 28 PET/CT SUVmax, SUVmean and TMV (cm3) of each lesion (node, organ or marrow uptake, if any) using ROVER software. All statistical tests were two-sided and conducted at the 0.05 level of significance. R version 1.3.1099 (R-studio) was used for statistical modeling.   CONCLUSION: We demonstrate that a higher day 28 SUVmax was significantly higher in those with a B-OR of PR and in our modeling, a lower day 28 SUVmax may predict favorable PFS and OS. Additionally, lower TMV, both at baseline and day 28, may also be predictive of longer PFS and OS, while lower TLG at baseline, but not day 28 is significantly associated with a B-OR of CR. While further study is warranted, these imaging biomarkers may allow for early identification of those with a day 28 PR at highest risk for relapse leading to early intervention to improve long term outcomes.

Identification of Parameters Controlling Peptide-Driven Graphene Exfoliation in Aqueous Media.

Bio-inspired approaches represent potentially transformational methods to fabricate and activate non-natural materials for applications ranging from biomedical diagnostics to energy harvesting platforms. Recently, bio-based methods for the exfoliation of graphene in water have been developed, resulting in peptide-capped nanosheets; however, a clear understanding of the reaction system and peptide ligand structure remains unclear, limiting the advance of such approaches. Here the effects of reaction solution conditions and peptide ligand structure were systematically examined for graphene exfoliation, identifying key parameters to optimize material production. For this, the P1 peptide, identified with affinity for graphene, was exploited to drive exfoliation of bulk graphite to generate the final materials. The peptide was modified at both the N- and C-terminus with a 10-carbon chain fatty acid to explore the effects of a hydrophobic domain on the exfoliation process. The system was examined as a function of sonication time, pH, reagent concentration, and graphite source, where the final materials were fully characterized using a suite of approaches. Collectively, these results demonstrated that maximum graphene production was achieved using the parent P1 peptide after 12 h of sonication under basic conditions. While the exfoliation efficiency was slightly lower for the fatty acid modified peptides, the graphene produced using these biomolecules had fewer defects incorporated, potentially from the wrapping of the nanosheet edge by the aliphatic domain. Such results are important to provide key reaction designs to optimize the reproducibility of graphene exfoliation using biomimetic approaches.