10 research outputs found

    Quality of Life after Heart Transplantation

    Get PDF
    Background: Cardiac transplantation has been a treatment option for patients with end stage heart failure for the past 35 years. As evaluation and treatment protocols emerge and evolve it is the responsibility of the healthcare provider to assist the recipient in attaining the best quality of life (QOL) possible. Method: A demographic survey, along with the SF-36v2 generic survey, which measures quality of life in physical and functioning domains, was mailed to 100 heart transplant recipients in a large health plan in Northern California. The data from sixty five surveys were analyzed for any relationships between time from transplantation, employment status, expectations of transplantation and the SF-36v2 scores. General comparison to U.S. norms for the SF-36 was also performed. Results: Lower physical functioning scores were noted among participants that were not able to find work, had longer time from transplant and higher expectations. Mental health scores only achieved statistical significance in the category of recipient expectations (F\u3c.OOOl). The physical component was the domain that was affected most by transplantation. Conclusion: Interventions, such as lifestyle management, that target improved long-term outcomes may improve this area of transplantation

    Extracellular DNA Promotes Efficient Extracellular Electron Transfer by Pyocyanin in Pseudomonas aeruginosa Biofilms

    Get PDF
    Redox cycling of extracellular electron shuttles can enable the metabolic activity of subpopulations within multicellular bacterial biofilms that lack direct access to electron acceptors or donors. How these shuttles catalyze extracellular electron transfer (EET) within biofilms without being lost to the environment has been a long-standing question. Here, we show that phenazines mediate efficient EET through interactions with extracellular DNA (eDNA) in Pseudomonas aeruginosa biofilms. Retention of pyocyanin (PYO) and phenazine carboxamide in the biofilm matrix is facilitated by eDNA binding. In vitro, different phenazines can exchange electrons in the presence or absence of DNA and can participate directly in redox reactions through DNA. In vivo, biofilm eDNA can also support rapid electron transfer between redox active intercalators. Together, these results establish that PYO:eDNA interactions support an efficient redox cycle with rapid EET that is faster than the rate of PYO loss from the biofilm

    Extracellular DNA Promotes Efficient Extracellular Electron Transfer by Pyocyanin in Pseudomonas aeruginosa Biofilms

    Get PDF
    Redox cycling of extracellular electron shuttles can enable the metabolic activity of subpopulations within multicellular bacterial biofilms that lack direct access to electron acceptors or donors. How these shuttles catalyze extracellular electron transfer (EET) within biofilms without being lost to the environment has been a long-standing question. Here, we show that phenazines mediate efficient EET through interactions with extracellular DNA (eDNA) in Pseudomonas aeruginosa biofilms. Retention of pyocyanin (PYO) and phenazine carboxamide in the biofilm matrix is facilitated by eDNA binding. In vitro, different phenazines can exchange electrons in the presence or absence of DNA and can participate directly in redox reactions through DNA. In vivo, biofilm eDNA can also support rapid electron transfer between redox active intercalators. Together, these results establish that PYO:eDNA interactions support an efficient redox cycle with rapid EET that is faster than the rate of PYO loss from the biofilm

    Practice patterns to improve pre and post-transplant medication adherence in heart transplant centres: a secondary data analysis of the international BRIGHT study.

    No full text
    BACKGROUND: As medication non-adherence is a major risk factor for poor post-transplant outcomes, we explored how adherence is assessed, enhanced and integrated across the transplant continuum. AIM: The aim of this study was to study practice patterns regarding pre- and post-transplant medication adherence assessment and interventions in international heart transplant centres. METHODS: We used data from the Building Research Initiative Group: chronic illness management and adherence in heart transplantation (BRIGHT) study, a cross-sectional study conducted in 36 heart transplant centres in 11 countries. On a 27-item questionnaire, 100 clinicians (range one to five per centre) reported their practice patterns regarding adherence assessment and intervention strategies pre-transplant, immediately post-transplant, less than one year, and one or more year post-transplant. Educational/cognitive, counselling/behavioural and psychosocial/affective strategies were assessed. Clinicians' responses (intervention present vs. absent; or incongruence in reporting intervention) were aggregated at the centre level. RESULTS: The adherence assessment method most commonly used along the transplant continuum was questioning patients (range 75-88.9%). Pre-transplant, all three categories of intervention strategy were applied. Providing reading materials (82.9%) or instructions (68.6%), involving family or support persons in education (91.4%), and establishing partnership (91.4%) were used most frequently. Post-transplant, strategies closely resembled those employed pre-transplant. Training patients (during recovery) and cueing were more often applied during hospitalisation (74.3%). After the first year post-transplant, except for motivational interviewing (25.7-28.6%), the number of strategies decreased. CONCLUSIONS: Across the transplant continuum, diverse adherence interventions are implemented; however, post-transplant, the frequency of adherence interventions decreases. Therefore, increased investment is necessary in long-term adherence interventions

    Prevalence of Medication Nonadherence to co-medication Compared to immunosuppressants in Heart Transplant Recipients: Findings From the International Cross-sectional BRIGHT Study

    No full text
    Purpose: To assess and compare the prevalence of medication nonadherence (MNA) (implementation and persistence) to immunosuppressants and co-medications in heart transplant recipients.Methods: MNA prevalence was assessed using the Basel Assessment of Adherence to Immunosuppressive Medications Scale (self-report) and compared using logistic regression in a 4-continent sample of 1397 heart transplant recipients from 36 heart transplant centers in 11 countries.Findings: MNA was significantly (alpha = 0.05) higher to co-medications than to immunosuppressants (taking nonadherence: 23.9% vs 17.3%; odds ratio [OR] = 1.5; 95% CI, 1.30-1.73; drug holiday: 5.7% vs 1.9%; OR = 3.17; 95% CI, 2.13-4.73; dose alteration: 3.8% vs 1.6%; OR = 2.46; 95% CI, 1.49-4.06; and discontinuation: 2.6% vs 0.5%; OR = 5.15; 95% CI, 2.36-11.20). (C) 2018 Elsevier Inc. All rights reserved

    Prevalence of Medication Nonadherence to Co-medication Compared to Immunosuppressants in Heart Transplant Recipients: Findings From the International Cross-sectional BRIGHT Study

    No full text
    PURPOSE: To assess and compare the prevalence of medication nonadherence (MNA) (implementation and persistence) to immunosuppressants and co-medications in heart transplant recipients. METHODS: MNA prevalence was assessed using the Basel Assessment of Adherence to Immunosuppressive Medications Scale (self-report) and compared using logistic regression in a 4-continent sample of 1397 heart transplant recipients from 36 heart transplant centers in 11 countries. FINDINGS: MNA was significantly (α = 0.05) higher to co-medications than to immunosuppressants (taking nonadherence: 23.9% vs 17.3%; odds ratio [OR] = 1.5; 95% CI, 1.30-1.73; drug holiday: 5.7% vs 1.9%; OR = 3.17; 95% CI, 2.13-4.73; dose alteration: 3.8% vs 1.6%; OR = 2.46; 95% CI, 1.49-4.06; and discontinuation: 2.6% vs 0.5%; OR = 5.15; 95% CI, 2.36-11.20). IMPLICATIONS: The observed MNA necessitates adherence-enhancing interventions encompassing the entire post-heart transplant medication regimen. ClinicalTrials.gov identifier: NCT01608477.status: publishe
    corecore