Study objectives: To evaluate whether findings from surveillance bronchosco
py predict survival following lung transplantation.
Design: Retrospective review and analysis of 498 bronchoscopies with transb
ronchial biopsy (TBB) and BAL performed in 34 patients after lung transplan
tation.
Setting: University-based, tertiary referral medical center,
Patients: Thirty-four patients after lung transplantation, The mean age at
transplantation was 49 +/- 9 years; 20 (59%) were female. Twenty-four (71%)
underwent single and 10 (29%) underwent bilateral lung transplantation. Th
e most common pretransplantation diagnostic groups were emphysema/COPD with
out concomitant alpha(1)-antiprotease deficiency (n = 13) and other obstruc
tive disease processes (n = 10).
Interventions: Over follow-up, subjects underwent multiple bronchoscopies w
ith TBB and BAL, The median number per subject was 15 (25 to 75% range 13 t
o 17).
Measurements and results: We calculated the overall median BAL WBCs and med
ian percent neutrophils (polymorphonuclear leukocytes [PMNs]) among all of
the BALs performed for each subject. We then calculated the mean a SD of th
ose median values. We used Cox proportionate hazards to assess mortality ri
sk. The median overall follow-up observation period for the cohort was 560
days. There were 11 deaths during this period. Twenty-four subjects (71%) h
ad acute rejection (AR) grades 2 to 4 (mild to severe), and nine (27%) had
obliterative bronchiolitis (OB) diagnosed by TBB at any point. The mean val
ue for BAL WBCs was 366 +/- 145 x 10(3) per milliliter; for percentage PMNs
, the mean was 7 a 10%. Adjusting for age, gender, single vs bilateral lung
transplantation, pretransplantation diagnostic group, presence of AR, pres
ence of OB, BAL WBC concentration, and lymphocyte CD4/CD8 ratio, PMN pet-ce
nt was a significant predictor of mortality (p = 0.02).
Conclusions: Ongoing inflammation manifested by an increased percentage PMN
s over repeated bronchoscopies predicts mortality following lung transplant
ation. Biopsy data alone may be insufficient to identify posttransplantatio
n patients at risk of poor outcome.