Suppressed calcineurin-dependent gene expression identifies lung allograft recipients at increased risk of infection.

Lung transplant immunosuppression regimens generally include the calcineurin inhibitor tacrolimus. We hypothesized that mean residual expression (MRE) of calcineurin-dependent genes assesses rejection and infection risk better than does tacrolimus trough. We prospectively followed 44 lung allograft recipients at 2 to 18 months posttransplant and measured changes in whole blood interleukin-2, interferon-γ, and granulocyte-macrophage colony-stimulating factor gene expression following a tacrolimus dose. Posttransplant duration, immunosuppressive medication levels, and bronchoscopic rejection and infection assessments were compared with MRE by using generalized-estimating equation-adjusted models. Prednisolone effect on MRE was assessed ex vivo in blood samples from nontransplanted controls. Tacrolimus concentration inhibiting 50% of cytokine production (IC50 ) was measured in a pretransplant subset. Results showed that MRE did not change with diagnosis of rejection but that airway infection was associated with a 20% absolute decrease (95% confidence interval 11%-29%). MRE increased with time after transplant but was not associated with tacrolimus trough. Interestingly, MRE correlated inversely with corticosteroid dose in the study cohort and ex vivo. Pretransplant tacrolimus IC50 depended on the cytokine measured and varied between individuals, suggesting a range in baseline responses to tacrolimus. We conclude that MRE identifies infection risk in lung allograft recipients, potentially integrating calcineurin inhibitor and steroid effects on lymphocyte effector function

Suppressed calcineurin-dependent gene expression identifies lung allograft recipients at increased risk of infection.

Lung transplant immunosuppression regimens generally include the calcineurin inhibitor tacrolimus. We hypothesized that mean residual expression (MRE) of calcineurin-dependent genes assesses rejection and infection risk better than does tacrolimus trough. We prospectively followed 44 lung allograft recipients at 2 to 18 months posttransplant and measured changes in whole blood interleukin-2, interferon-γ, and granulocyte-macrophage colony-stimulating factor gene expression following a tacrolimus dose. Posttransplant duration, immunosuppressive medication levels, and bronchoscopic rejection and infection assessments were compared with MRE by using generalized-estimating equation-adjusted models. Prednisolone effect on MRE was assessed ex vivo in blood samples from nontransplanted controls. Tacrolimus concentration inhibiting 50% of cytokine production (IC50 ) was measured in a pretransplant subset. Results showed that MRE did not change with diagnosis of rejection but that airway infection was associated with a 20% absolute decrease (95% confidence interval 11%-29%). MRE increased with time after transplant but was not associated with tacrolimus trough. Interestingly, MRE correlated inversely with corticosteroid dose in the study cohort and ex vivo. Pretransplant tacrolimus IC50 depended on the cytokine measured and varied between individuals, suggesting a range in baseline responses to tacrolimus. We conclude that MRE identifies infection risk in lung allograft recipients, potentially integrating calcineurin inhibitor and steroid effects on lymphocyte effector function

EPID-08. PRE-SURGERY IMMUNE PROFILES OF ADULT GLIOMA PATIENTS

Abstract Changes in glioma patients’ immune profiles over the course of disease may predict outcomes. DNA based immunomethylomics quantifies blood immune cells based on cell specific DNA methylation signatures. To assess changes in immune profiles, we are longitudinally collecting blood samples from glioma patients pre-surgery and at other clinically relevant time points. Here we report patients’ pre-surgery immune profiles. All patients underwent biopsy or resection of a presumed new glioma or recurrent lower grade glioma. Blood DNA methylation was assessed with Illumina EPIC methylation arrays. Relative cell fractions of CD4, CD8, B-cells, natural killer cells, monocytes, and neutrophils, were estimated via our validated deconvolution algorithm. Total nucleated cell counts from Nexcelom cytometry were used to compute absolute cell counts. Other measures include total lymphocytes, CD4/CD8 ratio, neutrophil to lymphocyte ratio (NLR), and lymphocyte to monocyte ratio (LMR)). The first 125 participants includes 56 newly diagnosed glioblastomas (GBM), 28 newly diagnosed grade II-III gliomas, and 41 recurrent grade II-III gliomas. Median patient age is 49 years. 53 (43%) had recent dexamethasone exposure. In overall non-parametric analyses, most cell subsets, especially CD4, differed across grade, diagnosis group, WHO classification and dexamethasone exposure. In post-hoc pairwise analyses, immune profiles of IDH wildtype GBM patients who had taken dexamethasone differed from patients with GBM or grade II-III glioma who had not taken dexamethasone; they had clinically relevant and statistically significantly lower absolute CD4 counts, total white cell counts, and percent of total lymphocytes, and higher absolute neutrophil counts, NLR and LMR. However, some dexamethasone naïve GBM patients also had altered immune profiles. Comparisons of relative immune cell fractions with those from 454 non-glioma controls from the UCSF Adult Glioma Study showed that across grade and WHO classification, for the most part, immune profiles of glioma patients not exposed to dexamethasone did not differ from controls

Development and Preliminary Validation of the Lung Transplant Quality of Life (LT-QOL) Survey

RationaleAlthough lung transplantation aims to improve health-related quality of life (HRQL), existing instruments fail to include health domains considered important in this population.ObjectivesWe aimed to develop a comprehensive lung transplant-specific instrument to address this shortcoming.MethodsWe developed a pool of 126 candidate items addressing domains previously identified as important by lung transplant recipients. Through cognitive interviews conducted in 43 transplant recipients, items deemed irrelevant or redundant were dropped. The 84 remaining items were field tested in lung transplant recipients. Exploratory and confirmatory factor analyses were used to evaluate the factor structure, and scales were evaluated for internal consistency and construct validity.Measurements and main resultsThe 84-item preliminary survey was administered to 201 lung transplant recipients with a mean age of 57.9 (±12.7) years; 46% were female. After factor analyses and internal consistency evaluation, we retained 60 items comprising the Lung Transplant Quality of Life (LT-QOL) Survey. The LT-QOL contains 10 scales that measure symptoms, health perceptions, functioning, and well-being. The confirmatory factor analysis model had good approximate fit (comparative fit index = 0.990; standardized root-mean-square residual = 0.062). Cronbach αs for the 10 scales ranged from 0.75 to 0.95. Interscale correlations were consistent with hypothesized relationships. Subjects with severe chronic lung allograft dysfunction (n = 13) reported significantly worse HRQL than subjects without chronic lung allograft dysfunction (n = 168) on 6 of the 10 LT-QOL scales.ConclusionsThe LT-QOL is a new, multidimensional instrument that characterizes and quantifies HRQL in lung transplant recipients

Frailty trajectories in adult lung transplantation: A cohort study.

BACKGROUND: Frailty is common in adults with advanced lung disease and is associated with death before and after lung transplantation. We aimed to determine whether frailty changes from before to after the lung transplant. METHODS: In a single-center, prospective cohort study among adults undergoing lung transplantation from 2010 to 2017, we assessed frailty by the Short Physical Performance Battery (SPPB; higher scores reflect less frailty) and Fried Frailty Phenotype (FFP; higher scores reflect greater frailty) before and repeatedly up to 36 months after transplant. We tested for changes in frailty scores over time using segmented mixed effects models, adjusting for age, sex, and diagnosis. We quantified the proportion of subjects transitioning between frailty states (frail vs not frail) from before to after the transplant. RESULTS: In 246 subjects, changes in frailty occurred within the first 6 post-operative months and remained stable thereafter. The overall change in frailty was attributable to improvements among those subjects who were frail before transplant. They experienced a 5.1-point improvement in SPPB (95% confidence interval [CI] 4.6-5.7) and a 1.8-point improvement in FFP (95% CI -2.1 to -1.6) during the early period. Frailty by SPPB and FFP did not change in those who were not frail before transplant. Approximately 84% of survivors who were frail before transplant became not frail after transplant. CONCLUSIONS: Pre-operative frailty resolves in many patients after lung transplantation. Because a large proportion of frailty may be attributable to advanced lung disease, frailty alone should not be an absolute contraindication to transplantation

Frailty trajectories in adult lung transplantation: A cohort study.

BackgroundFrailty is common in adults with advanced lung disease and is associated with death before and after lung transplantation. We aimed to determine whether frailty changes from before to after the lung transplant.MethodsIn a single-center, prospective cohort study among adults undergoing lung transplantation from 2010 to 2017, we assessed frailty by the Short Physical Performance Battery (SPPB; higher scores reflect less frailty) and Fried Frailty Phenotype (FFP; higher scores reflect greater frailty) before and repeatedly up to 36 months after transplant. We tested for changes in frailty scores over time using segmented mixed effects models, adjusting for age, sex, and diagnosis. We quantified the proportion of subjects transitioning between frailty states (frail vs not frail) from before to after the transplant.ResultsIn 246 subjects, changes in frailty occurred within the first 6 post-operative months and remained stable thereafter. The overall change in frailty was attributable to improvements among those subjects who were frail before transplant. They experienced a 5.1-point improvement in SPPB (95% confidence interval [CI] 4.6-5.7) and a 1.8-point improvement in FFP (95% CI -2.1 to -1.6) during the early period. Frailty by SPPB and FFP did not change in those who were not frail before transplant. Approximately 84% of survivors who were frail before transplant became not frail after transplant.ConclusionsPre-operative frailty resolves in many patients after lung transplantation. Because a large proportion of frailty may be attributable to advanced lung disease, frailty alone should not be an absolute contraindication to transplantation

Strategy for Sustaining Cancer Education Services for Underserved Communities.

Innovative strategies are needed to generate resources to replicate and sustain proven, community-based health promotion programs. Authors describe how civic-minded university students can conduct such programs while simultaneously gaining skills that make them competitive graduate school applicants

Improvement in patient-reported outcomes after lung transplantation is not impacted by the use of extracorporeal membrane oxygenation as a bridge to transplantation.

OBJECTIVE:Extracorporeal membrane oxygenation (ECMO) is increasingly used as a bridge to lung transplantation. The impact of preoperative ECMO on health-related quality of life (HRQL) and depressive symptoms after lung transplantation remains unknown, however. METHODS:In a single-center prospective cohort study, we assessed HRQL and depressive symptoms before and at 3, 6, and 12 months after lung transplantation using the Short Form 12 Physical and Mental Component Scores (SF12-PCS and SF12-MCS), Airway Questionnaire 20-Revised (AQ20R), EuroQol 5D (EQ5D), and Geriatric Depression Scale (GDS). Changes in HRQL were quantified by segmented linear mixed-effects models controlling for age, sex, diagnosis, preoperative forced expiratory volume in 1 second, 6-minute walk distance, and Lung Allocation Score. We compared changes in HRQL among subjects bridged with ECMO, subjects hospitalized but not on ECMO, and subjects called in for transplantation as outpatients. RESULTS:Out of 189 subjects, 17 were bridged to transplantation with ECMO. In all groups, improvements in HRQL following lung transplantation exceeded the minimally clinically important difference using the SF12-PCS, AQ20R, EQ5D, and GDS. HRQL defined by SF12-MCS did not change after transplantation. Improvements were generally similar among the groups, except for EQ5D, which showed a trend toward less benefit in the outpatients, possibly due to their better HRQL before lung transplantation. CONCLUSIONS:Subjects ill enough to require ECMO as a bridge to lung transplantation appear to achieve similar improvements in HRQL and depressive symptoms as those who do not. It is reassuring to both providers and patients that lung transplantation provides substantial improvements in HRQL, even for those patients who are critically ill in the run up to transplantation

Frailty trajectories in adult lung transplantation: A cohort study.

BackgroundFrailty is common in adults with advanced lung disease and is associated with death before and after lung transplantation. We aimed to determine whether frailty changes from before to after the lung transplant.MethodsIn a single-center, prospective cohort study among adults undergoing lung transplantation from 2010 to 2017, we assessed frailty by the Short Physical Performance Battery (SPPB; higher scores reflect less frailty) and Fried Frailty Phenotype (FFP; higher scores reflect greater frailty) before and repeatedly up to 36 months after transplant. We tested for changes in frailty scores over time using segmented mixed effects models, adjusting for age, sex, and diagnosis. We quantified the proportion of subjects transitioning between frailty states (frail vs not frail) from before to after the transplant.ResultsIn 246 subjects, changes in frailty occurred within the first 6 post-operative months and remained stable thereafter. The overall change in frailty was attributable to improvements among those subjects who were frail before transplant. They experienced a 5.1-point improvement in SPPB (95% confidence interval [CI] 4.6-5.7) and a 1.8-point improvement in FFP (95% CI -2.1 to -1.6) during the early period. Frailty by SPPB and FFP did not change in those who were not frail before transplant. Approximately 84% of survivors who were frail before transplant became not frail after transplant.ConclusionsPre-operative frailty resolves in many patients after lung transplantation. Because a large proportion of frailty may be attributable to advanced lung disease, frailty alone should not be an absolute contraindication to transplantation