Background: Few studies have examined the effect of race in lung transplantation (LTx). The United Network for Organ Sharing (UNOS) database provides an opportunity to examine outcomes of race matching for a large cohort of patients.

Methods: We retrospectively reviewed UNOS data for 11,323 adults receiving primary LTx (1997 to 2007). Patients were stratified by donor-recipient race matching and divided into groups of specific race. All-cause mortality was examined with Cox proportional hazards regression incorporating 19 covariates. Short-term mortality (30 days, 90 days, 1 year and 2 years) and rejection in the first year were examined.

Results: Of 11,323 patients, 7,414 (65%) were race matched, including 7,104 (71%) Caucasians, 184 (22%) African Americans, 117 (28%) Hispanics and 9 (11%) Asians. During the study, 4,862 (43%) patients died. Race matching decreased the 30-day, 90-day, 1-year and 2-year unadjusted mortality. Race matching decreased risk-adjusted cumulative mortality (hazard ratio 0.88, 95% confidence interval 0.80 to 0.96, p = 0.006). Kaplan-Meier modeling showed that race matching significantly improved survival. Race matching did not impact rejection in the year after LTx. When deaths in the first year were censored, race matching no longer affected cumulative survival. Donor African American race conferred an increased risk of death, regardless of recipient race.

Conclusions: Our study represents the largest cohort evaluating the effect of race matching in LTx. Race matching resulted in an improvement in long-term survival. This improvement appears to manifest in the 2 years after LTx.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.healun.2009.06.012DOI Listing

Publication Analysis

Top Keywords

race matching
40
race
14
matching
10
donor-recipient race
8
lung transplantation
8
rejection year
8
matching decreased
8
ltx
5
impact donor-recipient
4
survival
4

Similar Publications

Facilitating a More Diverse Workforce: The Value of Mentorship in Cardiothoracic Surgery.

Ann Thorac Surg Short Rep

December 2024

Division of Cardiac, Thoracic, and Vascular Surgery, Department of Surgery, NewYork-Presbyterian/Columbia University Irving Medical Center, New York, New York.

Background: Cardiothoracic surgery (CTS) is one of the least diverse surgical specialties in both gender and race. Aside from the inherent benefits of a diverse working environment, mitigating this diversity gap improves patient care. Mentorship is important for creating a diverse, nurturing environment for trainees.

View Article and Find Full Text PDF

Prior research suggests metformin has anti-cancer effects, yet data are limited. We examined the association between diabetes treatment (metformin versus sulfonylurea) and risk of incident diabetes-related and non- diabetes-related cancers in US veterans. This retrospective cohort study included US veterans, without cancer, aged ≥ 55 years, who were new users of metformin or sulfonylureas for diabetes between 2001 to 2012.

View Article and Find Full Text PDF

Background: Aspirin has proved its efficacy in reducing the rate of preeclampsia in singleton pregnancy, however, there is discrepancy about the efficient dosage that should be used. While some societies recommend daily 75-81mg, others recommend higher dosage (160mg). This discrepancy is due to the lack of randomized controlled studies that compare these two dosages.

View Article and Find Full Text PDF

Background: An increasing body of evidence has linked fructose intake to colorectal cancer (CRC). African American (AA) adults consume greater quantities of fructose and are more likely to develop right-side colon cancer than European American (EA) adults.

Objective: We examined the hypothesis that fructose consumption leads to epigenomic and transcriptomic differences associated with CRC tumor biology.

View Article and Find Full Text PDF

Background: Postoperative delirium (POD) is a common complication after major surgery and is associated with poor outcomes in older adults. Early identification of patients at high risk of POD can enable targeted prevention efforts. However, existing POD prediction models require inpatient data collected during the hospital stay, which delays predictions and limits scalability.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!