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1.
Clin Cancer Res ; 27(14): 3854-3860, 2021 07 15.
Article in English | MEDLINE | ID: mdl-33766818

ABSTRACT

PURPOSE: To report the interim analysis of the phase II single-arm noninferiority trial, testing the upfront use of dexrazoxane with doxorubicin on progression-free survival (PFS) and cardiac function in soft-tissue sarcoma (STS). PATIENTS AND METHODS: Patients with metastatic or unresectable STS who were candidates for first-line treatment with doxorubicin were deemed eligible. An interim analysis was initiated after 33 of 65 patients were enrolled. Using the historical control of 4.6 months PFS for doxorubicin in the front-line setting, we tested whether the addition of dexrazoxane affected the efficacy of doxorubicin in STS. The study was powered so that a decrease of PFS to 3.7 months would be considered noninferior. Secondary aims included cardiac-related mortality, incidence of heart failure/cardiomyopathy, and expansion of cardiac monitoring parameters including three-dimensional echocardiography. Patients were allowed to continue on doxorubicin beyond 600 mg/m2 if they were deriving benefit and were not demonstrating evidence of symptomatic cardiac dysfunction. RESULTS: At interim analysis, upfront use of dexrazoxane with doxorubicin demonstrated a PFS of 8.4 months (95% confidence interval: 5.1-11.2 months). Only 3 patients were removed from study for cardiotoxicity, all on > 600 mg/m2 doxorubicin. No patients required cardiac hospitalization or had new, persistent cardiac dysfunction with left ventricular ejection fraction remaining below 50%. The median administered doxorubicin dose was 450 mg/m2 (interquartile range, 300-750 mg/m2). CONCLUSIONS: At interim analysis, dexrazoxane did not reduce PFS in patients with STS treated with doxorubicin. Involvement of cardio-oncologists is beneficial for the monitoring and safe use of high-dose anthracyclines in STS.See related commentary by Benjamin and Minotti, p. 3809.


Subject(s)
Antibodies, Monoclonal/administration & dosage , Antineoplastic Agents/administration & dosage , Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Dexrazoxane/administration & dosage , Doxorubicin/administration & dosage , Sarcoma/drug therapy , Soft Tissue Neoplasms/drug therapy , Aged , Antibodies, Monoclonal/pharmacology , Antineoplastic Combined Chemotherapy Protocols/pharmacology , Dexrazoxane/pharmacology , Disease-Free Survival , Doxorubicin/pharmacology , Female , Heart/drug effects , Heart/physiology , Humans , Male , Middle Aged , Neoplasm Staging , Prospective Studies , Sarcoma/secondary , Soft Tissue Neoplasms/pathology
2.
Pacing Clin Electrophysiol ; 43(6): 593-601, 2020 06.
Article in English | MEDLINE | ID: mdl-32333406

ABSTRACT

BACKGROUND: Pericardial access is complicated by two difficulties: confirming when the needle tip is in the pericardial space, and avoiding complications during access, such as inadvertently puncturing other organs. Conventional imaging tools are inadequate for addressing these difficulties, as they lack soft-tissue markers that could be used as guidance during access. A system that can both confirm access and avoid inadvertent organ injury is needed. METHODS: A 21G micropuncture needle was modified to include two small electrodes at the needle tip. With continuous bioimpedance monitoring from the electrodes, the needle was used to access the pericardium in porcine models (n  =  4). The needle was also visualized in vivo by using an electroanatomical map (n  =  2). Bioimpedance data from different tissues were analyzed retrospectively. RESULTS: Bioimpedance data collected from the subcutaneous space (992.8 ± 13.1 Ω), anterior mediastinum (972.2 ± 14.2 Ω), pericardial space (323.2 ± 17.1 Ω), mid-myocardium (349.7 ± 87.6 Ω), right ventricular cavity (235.0 ± 9.7 Ω), lung (1142.0 ± 172.0 Ω), liver (575.0 ± 52.6 Ω), and blood (177.5 ± 1.9 Ω) differed significantly by tissue type (P < .01). Phase data in the frequency domain correlated well with the needle being in the pericardial space. A simple threshold analysis effectively separated lung (threshold  =  1120.0 Ω) and blood (threshold  =  305.9 Ω) tissues from the other tissue types. CONCLUSIONS: Continuous bioimpedance monitoring from a modified micropuncture needle during pericardial access can be used to clearly differentiate tissues. Combined with traditional imaging modalities, this system allows for confirming access to the pericardial space while avoiding inadvertent puncture of other organs, creating a safer and more efficient needle-access procedure.


Subject(s)
Pericardium/surgery , Punctures/instrumentation , Punctures/methods , Animals , Electric Impedance , Equipment Design , Needles , Swine
3.
Am J Cardiol ; 118(9): 1363-1367, 2016 Nov 01.
Article in English | MEDLINE | ID: mdl-27622708

ABSTRACT

The purpose of this study is to examine the association of sarcopenia as measured by psoas muscle area and outcomes in patients undergoing left ventricular assist device (LVAD) implantation. We retrospectively examined 333 consecutive patients who underwent implantation of a HeartMate II LVAD at our institution from June 2008 to August 2013. Patients were included if they had a perioperative computed tomography that spanned the L3-L4 vertebrae. Sarcopenia was defined as having the lowest tertile psoas muscle area by gender. The primary end point was the composite of inpatient death or prolonged length of stay of >30 days. One hundred patients met inclusion criteria. The psoas muscle area cut-off values for the lowest tertiles were 12.0 cm2 for men and 6.5 cm2 for women, resulting in 32 sarcopenic patients (32%). The primary outcome of inpatient death or prolonged length of stay occurred in 81% of patients in the sarcopenic versus 60% in the nonsarcopenic group (p = 0.043). There was a trend toward prolonged length of stay in sarcopenic patients but no difference in overall mortality. This demonstrates that sarcopenia as measured by psoas muscle area is associated with increased composite length of stay and mortality after LVAD implantation and may serve as correlate for frailty.


Subject(s)
Heart Failure/mortality , Heart Failure/surgery , Heart-Assist Devices , Length of Stay/statistics & numerical data , Psoas Muscles/diagnostic imaging , Psoas Muscles/pathology , Sarcopenia/complications , Sarcopenia/diagnostic imaging , Tomography, X-Ray Computed , Female , Humans , Kaplan-Meier Estimate , Male , Middle Aged , Predictive Value of Tests , Retrospective Studies
4.
Nat Neurosci ; 15(2): 294-7, 2011 Dec 25.
Article in English | MEDLINE | ID: mdl-22197829

ABSTRACT

Learning and memory are influenced by the temporal pattern of training stimuli. However, the mechanisms that determine the effectiveness of a particular training protocol are not well understood. We tested the hypothesis that the efficacy of a protocol is determined in part by interactions among biochemical cascades that underlie learning and memory. Previous findings suggest that the protein kinase A (PKA) and extracellular signal-regulated kinase (ERK) cascades are necessary to induce long-term synaptic facilitation (LTF) in Aplysia, a neuronal correlate of memory. We developed a computational model of the PKA and ERK cascades and used it to identify a training protocol that maximized PKA and ERK interactions. In vitro studies confirmed that the protocol enhanced LTF. Moreover, the protocol enhanced the levels of phosphorylation of the transcription factor CREB1. Behavioral training confirmed that long-term memory also was enhanced by the protocol. These results illustrate the feasibility of using computational models to design training protocols that improve memory.


Subject(s)
Computer Simulation , Learning/physiology , Models, Biological , Analysis of Variance , Animals , Aplysia , CREB-Binding Protein/metabolism , Cells, Cultured , Coculture Techniques , Cyclic AMP-Dependent Protein Kinases/metabolism , Electric Stimulation , Extracellular Signal-Regulated MAP Kinases/metabolism , Functional Laterality , Ganglia, Invertebrate/cytology , Humans , Learning/drug effects , Long-Term Potentiation/physiology , Motor Neurons/physiology , Sensory Receptor Cells/physiology , Serotonin/pharmacology , Signal Transduction
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