Long-Term Impact of Cytomegalovirus Serologic Status on Lung Transplantation in the United States.

BACKGROUND: Cytomegalovirus (CMV) infection has been associated with poor outcomes after solid organ transplantation. The long-term impact of donor and recipient CMV serological status on lung transplant outcomes remains unclear. Accordingly, we evaluated the impact of donor and recipient CMV status on long-term patients as well as allograft survival after single (SLT) and double lung transplantation (BLT). METHODS: The Scientific Registry of Transplant Recipients was used to track all adult lung transplants in United States from May 2005 to June 2016. Patient mortality and bronchiolitis obliterans syndrome were determined up to 5 years using Cox proportional hazards modeling. Additionally, landmark analysis was performed conditional on survival at 1 year. RESULTS: Compared with donor negative-recipient CMV-IgG negative (D-R-), donor positive-recipient negative (D+R-) and donor positive-recipient positive (D+R+) groups had increased mortality at 1 and 5 years after BLT, with the former demonstrating highest risk. Although mortality was not increased with CMV seropositive donors after SLT at 1 year, both D+R- and D+R+ groups demonstrated greater mortality at 5 years. Risk of bronchiolitis obliterans syndrome was not affected by CMV serological status. Conditional landmark analysis confirmed that lungs from CMV seropositive donors conferred highest risk for long-term mortality. CONCLUSIONS: CMV seronegative recipients undergoing either BLT or SLT from CMV seropositive donors have the highest risk of long-term mortality that extends beyond the first year. Further studies are needed to determine the causes of higher mortality observed in the CMV seronegative recipients and risks and benefits of extension of CMV prophylaxis, particularly in the high-risk group.

Association of body mass index with lung transplantation survival in the United States following implementation of the lung allocation score.

BACKGROUND: The association of body mass index (BMI) with survival after lung transplantation remains controversial, owing to conflicting evidence in the literature. Previous reports have used traditional BMI categories, included patients who underwent transplantation before implementation of the lung allocation score (LAS), or were limited by single-center experiences. Here we evaluated the association of individual BMI units with short-term and long-term mortality in a large national database following implementation of the LAS. METHODS: The Scientific Registry of Transplant Recipients database was used to collect data for 17,233 adult lung transplantations performed between May 2005 and June 2016. The primary outcome was all-cause mortality at 90 days and 1 year posttransplantation. Logistic regression modeling was used to independently predict mortality per BMI unit, adjusting for donor and recipient factors. RESULTS: BMI was an independent predictor of mortality at both 90 days and 1 year. At 90 days, a BMI of 25 was associated with the lowest predicted probability of death (0.053; 95% confidence interval [CI], 0.047-0.049), with increased odds of mortality at BMI ≤20 and ≥28. At 1 year, a BMI of 26 was associated with the lowest predicted probability of death (0.12; 95% CI, 0.11-0.13), with increased odds of mortality at BMI ≤24 and ≥28. CONCLUSIONS: Each individual BMI unit has a quantifiable effect on posttransplantation survival, and the patterns of effect do not fit into the predefined BMI categories. The mortality risk associated with BMI should be considered by transplant centers when making listing decisions and by regulatory bodies for estimating expected outcomes.

The Building Blocks of Interoperability. A Multisite Analysis of Patient Demographic Attributes Available for Matching.

BACKGROUND: Patient matching is a key barrier to achieving interoperability. Patient demographic elements must be consistently collected over time and region to be valuable elements for patient matching. OBJECTIVES: We sought to determine what patient demographic attributes are collected at multiple institutions in the United States and see how their availability changes over time and across clinical sites. METHODS: We compiled a list of 36 demographic elements that stakeholders previously identified as essential patient demographic attributes that should be collected for the purpose of linking patient records. We studied a convenience sample of 9 health care systems from geographically distinct sites around the country. We identified changes in the availability of individual patient demographic attributes over time and across clinical sites. RESULTS: Several attributes were consistently available over the study period (2005-2014) including last name (99.96%), first name (99.95%), date of birth (98.82%), gender/sex (99.73%), postal code (94.71%), and full street address (94.65%). Other attributes changed significantly from 2005-2014: Social security number (SSN) availability declined from 83.3% to 50.44% (p<0.0001). Email address availability increased from 8.94% up to 54% availability (p<0.0001). Work phone number increased from 20.61% to 52.33% (p<0.0001). CONCLUSIONS: Overall, first name, last name, date of birth, gender/sex and address were widely collected across institutional sites and over time. Availability of emerging attributes such as email and phone numbers are increasing while SSN use is declining. Understanding the relative availability of patient attributes can inform strategies for optimal matching in healthcare.