Health-related quality-of-life in children with cystic fibrosis aged 5-years and associations with health outcomes

BackgroundThe impact of early cystic fibrosis (CF) on health-related quality-of-life (HRQOL) in preschool children is poorly characterised, and data on relationships between HRQOL and health outcomes in young children with CF are limited. We aimed to characterise and compare parent-proxy and child-reported HRQOL and evaluate relationships with clinical outcomes at age 5-years.MethodsSubjects were participating in the multi-centre Australasian Cystic Fibrosis Bronchoalveolar Lavage (ACFBAL) trial investigating BAL-directed versus standard CF therapy. Children aged 5-years and their parents rated HRQOL using the Pediatric Quality of Life Inventory (PedsQL™) and Cystic Fibrosis Questionnaire-Revised (CFQ-R) questionnaires.ResultsPedsQL and CFQ-R questionnaires were completed by 141 primary caregivers and 135 and 130 children, respectively. There were no differences in HRQOL between children randomised to BAL-directed versus standard CF therapy. Children with CF rated worse HRQOL than healthy children and there was poor parent-child concordance across HRQOL domains. Nutritional status, CF-CT scan score, forced expiratory volume in 1-second (FEV₁), and pulmonary exacerbations correlated with HRQOL at age 5-years. FEV₁ z-scores positively correlated with parent-proxy HRQOL in CFQ-R Respiratory (p = 0.018), Physical (<0.001), Emotional (p = 0.007) subscales and PedsQL Total-score (p = 0.021), Physical (p = 0.019) domains. Pulmonary exacerbation rates were inversely associated with parent-proxy CFQ-R Respiratory (p = 0.004), Physical (p = 0.022), PedsQL Total (p = 0.009) and Physical (p = 0.009) scores.ConclusionParent-reported HRQOL is a meaningful clinical endpoint to evaluate interventions in young children. Parent and child HRQOL reports provide different, complementary information. A preschool version of the CFQ-R is needed to assess relationships between HRQOL and clinical outcomes in young children.     

Penile Prosthesis Implantation and Timing Disparities After Radical Prostatectomy: Results From a Statewide Claims Database

BackgroundMany patients with erectile dysfunction (ED) after radical prostatectomy (RP) improve with conservative therapy but some do not; penile prosthesis implantation rates have been sparsely reported, and have used nonrepresentative data sets.AimTo characterize rates and timing of penile prosthesis implantation after RP and to identify predictors of implantation using a more representative data set.MethodsThe Healthcare Cost and Utilization Project State Inpatient and State Ambulatory Surgery databases for Florida from 2006 to 2015 were used. Patients undergoing RP (2006–2012) were tracked longitudinally for penile prosthesis implantation. Patient and clinical data were analyzed using multivariable logistic regression.OutcomesThe primary outcome was risk-adjusted predictors of prosthesis implantation, and the secondary outcome was predictors of the highest quartile of time between RP and penile prosthesis.ResultsOf 29,288 men who had RP, 1,449 (4.9%) patients underwent subsequent prosthesis. The mean time from RP to prosthesis was 2.6 years (median: 2.1; interquartile range [IQR]: 1.2–3.5). Adjusted predictors of prosthesis implantation included open RP (odds ratio [OR]: 1.5, P < .01), African American race (OR: 1.7, P < .01) or Hispanic ethnicity (OR: 3.2, P < .01), and Medicare (OR: 1.4, P < .01) insurance. Oler patients (age >70 years; OR: 0.7, P < .01) and those from the highest income quartile relative to the lowest (OR: 0.8, P < .05) were less likely to be implanted. Adjusted predictors of longer RP-to-implantation time (highest quartile: median: 4.7 years; IQR: 3.9–6.0 years) included open RP (OR: 1.78, P < .01), laparoscopic RP (OR: 4.67, P < .01), Medicaid (OR: 3.03, P < .05), private insurance (OR: 2.57, P < .01), and being in the highest income quartile (OR: 2.52, P < .01).Clinical ImplicationsThese findings suggest ED treatment healthcare disparities meriting further investigation; upfront counseling on all ED treatment modalities and close monitoring for conservative treatment failure may reduce lost quality of life years.Strengths & LimitationsThis study is limited by its use of administrative data, which relies on accurate coding and lacks data on ED questionnaires/prior treatments, patient-level cost, and oncologic outcomes. Quartile-based analysis of income and time between RP and prosthesis limits the conclusions that can be drawn.ConclusionLess than 5% of post-RP patients undergo penile prosthesis implantation, with open RP, Medicare, African American race, and Hispanic ethnicity predicting post-RP implantation; living in the wealthiest residential areas predicts lower likelihood of implantation compared to the least wealthy areas. Patients with the longest time between RP and prosthesis are more likely to live in the wealthiest areas or have undergone open/laparoscopic RP relative to robotic RP.Bajic P, Patel PM, Nelson MH, et al. Penile Prosthesis Implantation and Timing Disparities After Radical Prostatectomy: Results From a Statewide Claims Database. J Sex Med 2020;17:1175–1181.     

Severity Scores for Ebstein Anomaly: Credibility and Usefulness of Echocardiographic vs Magnetic Resonance Assessments of the Celermajer Index

BackgroundThe severity score of Ebstein anomaly (EA) that corresponds to clinical status is still under research, with the Celermajer index (Cel-ind) being one of those. The agreement between echocardiographic and cardiac magnetic resonance (CMR) assessment of Cel-ind is not known. We determined the agreement between echocardiography- and CMR-derived Cel-ind and its relationship with heart failure markers.MethodsA total of 37 unoperated adults with EA (mean age, 43.0 ± 14.4 years) underwent echocardiography, CMR, and cardiopulmonary tests. For the Cel-ind, end-diastolic areas in echocardiography or end-diastolic volumes in CMR were used according to the following formula: Cel-ind = (right atrium + atrialized right ventricle)/(functional right ventricle + left atrium + left ventricle). On the basis of this assumption, patients were classified as follows: grade 1 = Cel-ind < 0.5, grade 2 = 0.5 to 0.99, grade 3 = 1.0 to 1.49, grade 4 > 1.5. The agreement between echocardiographic and CMR was determined with the intraclass correlation coefficient or Cohen’s kappa (<0.2 poor agreement; 0.2-0.4 fair agreement; 0.4-0.6 moderate agreement; 0.6-0.8 good agreement; 0.8-1.0 very good agreement).ResultsThe median echoCel-ind was 0.9 (range, 0.4-2.3), and the median cmrCel-ind was 0.7 (range, 0.3-5.3). Grade 1 or 2 was found in 19 patients (51.3%) by echocardiography and in 27 patients (72.9%) by CMR. The agreement between imaging methods was only fair (kappa = 0.39, P = 0.002) for the 4-grade classification and moderate (intra-class correlation coefficient = 0.43; 95% confidence interval, 0.13-0.66) for Cel-ind calculation. Significant correlations between Cel-ind in CMR and cardiopulmonary parameters were found (for peak oxygen uptake: R = −0.35, P = 0.034; for the ventilation/carbon dioxide slope: R = 0.46, P = 0.005). Neither of them correlated with echocardiographic severity score.ConclusionsThe agreement between echocardiographic and CMR assessment of the Cel-ind is at most moderate; echocardiography usually overestimates, but rarely underestimates, EA severity. Cel-ind by CMR seems to be more valuable, because it is associated with heart failure markers.     

Determinants of anti-PD-1 response and resistance in clear cell renal cell carcinoma

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