Table 3.

Effect estimates on post transplant failure for doubling time spent on the heart transplant waiting list

3a. Outcome= Death or graft failure within 1 year post-transplant
	Number of Events (%)	Logistic Regression Analysis	Instrumental Variable Analysis
Overall	2211 (12%)	1.01 (0.99, 1.04)	1.10 (1.01, 1.20)
Status 1A	570 (15%)	1.00 (0.95, 1.04)	1.08 (0.89, 1.29)
Status 1B	719 (11%)	1.01 (0.97, 1.05)	1.12 (0.96, 1.28)
Status 2	922 (12%)	1.04 (1.00, 1.07)	1.09 (0.95, 1.24)
3b. Outcome= Death or graft failure within 30 days post-transplant
	Number of Events (%)	Logistic Regression Analysis	Instrumental Variable Analysis
Overall	999 (5%)	1.03 (0.99, 1.06)	1.08 (0.96, 1.23)
Status 1A	268 (7%)	1.00 (0.94, 1.06)	1.10 (0.83, 1.42)
Status 1B	318 (5%)	1.04 (0.97, 1.10)	1.11 (0.90, 1.36)
Status 2	413 (5%)	1.05 (1.00, 1.11)	1.06 (0.88, 1.27)

Model adjusted for: gender, age, race, list year, diagnosis, payor, BMI (categorical), LVAD, ventilator, ECMO, diabetes