Patterns of Health Insurance Coverage and Lung Disease Progression in Adolescents and Young Adults with Cystic Fibrosis.

Rationale: Health insurance coverage has been implicated as a socioeconomic factor affecting clinical outcomes in patients with cystic fibrosis (CF), but evidence for this is mixed and varies by age.Objectives: Focusing on adolescents and young adults with CF, we examined how multiyear patterns of health insurance coverage were associated with lung function decline and related outcomes.Methods: We used data from the 2000 to 2015 CF Foundation Patient Registry to classify patients in three cohorts (ages 12-17 yr, adolescents; 18-23 yr, transitioning to adulthood; and 24-29 yr, young adults) according to health insurance coverage, as follows: continuous private, continuous public, intermittent public, and coverage gaps. The primary outcome was the percentage predicted forced expiratory volume in 1 second (FEV1pp), which was modeled using mixed-effects regression. Additional outcomes included outpatient visits, hospital days for pulmonary exacerbation treatment, bacterial colonization, and body mass index. Outcomes were assessed over a 6-year period (e.g., ages 12-17 yr), whereas exposures were assessed over the prior 6 years (e.g., ages 6-11 yr).Results: The three cohorts included 3,365, 2,800, and 1,807 patients, respectively. The highest rate of FEV1pp decline was found in the middle cohort, with the annual decline being steeper among patients with continuous public (-3.1/yr; 95% confidence interval [CI], -3.3 to -2.8) or intermittent public (-2.4/yr; 95% CI, -2.6 to -2.2) coverage compared with patients with continuous private coverage (-2.1/yr; 95% CI, -2.2 to -2.0). These differences were not explained by differences in outpatient care utilization.Conclusions: During the transition to adulthood, use of public insurance was associated with accelerated lung function decline among patients with CF. The role of insurance as a causal factor in this decline or proxy for other socioeconomic characteristics should be explored in further studies.

Social complexity negatively influences lung function in cystic fibrosis after transfer to adult care.

BACKGROUND: Several nongenetic factors, such as socioeconomic status, environmental exposures, and adherence have been described to have an impact on outcomes in cystic fibrosis (CF). OBJECTIVE: To determine the effect of social complexity on the % predicted forced expiratory volume (ppFEV1 ) before and after transfer to adult care among adolescents with CF. METHODS: Retrospective, single center, cohort study included all patients with CF who were transitioned into adult care between 2005 and 2015 at Indiana University. Social complexity (Bob's level of social support, [BLSS]) was collected at transfer. Linear mixed regression models assessed the relationship between ppFEV1 decline over time and BLSS with other covariates. RESULTS: The median age of the patients (N = 133) at the time of transfer was 20 years (interquartile range: 19-23). Overall, there was a decline in lung function over time in our population (ppFEV1 at 24 months pretransfer 77 ± 20%, ppFEV1 at 24 months, posttransfer 66 ± 24%; P < .001). The relationship between BLSS and ppFEV1 became more negative over time, even after adjusting for other covariates. CONCLUSION: Social complexity is strongly associated with lung function decline after transfer to adult care.

Impact of social complexity on outcomes in cystic fibrosis after transfer to adult care.

OBJECTIVE: This study evaluates the roles of medical and social complexity in health care use outcomes in cystic fibrosis (CF) after transfer from pediatric to adult care. METHODS: Retrospective cohort design included patients with CF who were transitioned into adult care at Indiana University from 2005 to 2015. Predictor variables included demographic and comorbidity data, age at transition, treatment complexity score (TCS), and an objective scoring measure of their social complexity (Bob's Level of Social Support, BLSS). Outcome variables included outpatient visit rates and hospitalization rates. Pearson's correlations and linear regression were used to analyze the data. RESULTS: The median age of the patients (N = 133) at the time of transition was 20 (IQR 19-23) years. The mean FEV1 % predicted at transition was 69 ± 24%. TCS correlated with outpatient visit rates (r = 0.3, P = 0.003), as well as hospitalization rates (r = 0.4, P < 0.001); while the BLSS only correlated with hospitalization rates (r = 0.7, P < 0.001). After adjusting for covariates, the strongest predictors of post-transfer hospitalizations are BLSS (P < 0.0001) and pre-transfer hospitalization rate (P < 0.0001). CONCLUSION: Greater treatment complexity is associated with greater healthcare utilization overall, while greater social complexity is associated with increased hospitalizations (but not outpatient visits). Screening young adults for social complexity may identify high-risk subpopulations and allow for patient centered interventions to support them and prevent avoidable health care use.

Quantification of collagen organization and extracellular matrix factors within the healing ligament.

Ligament healing of a grade III injury (i.e., a complete tear) involves a multifaceted chain of events that forms a neoligament, which is more scar-like in character than the native tissue. The remodeling process may last months or even years with the injured ligament never fully recovering pre-injury mechanical properties. With tissue engineering and regenerative medicine, understanding the normal healing process in ligament and quantifying it provide a basis to create and assess innovative treatments. Ligament fibroblasts produce a number of extracellular matrix (ECM) components, including collagen types I and III, decorin and fibromodulin. Using a combination of advanced histology, molecular biology, and nonlinear optical imaging approaches, the early ECM events during ligament healing have been better characterized and defined. First, the dynamic changes in ECM factors after injury are shown. Second, the factors associated with creeping substitution are identified. Finally, a method to quantify collagen organization is developed and used. Each ECM factor described herein as well as the temporal quantification of fiber organization helps elucidate the complexity of ligament healing.