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Updated: Jun 19, 2026

Development of Obliterative Bronchiolitis in a Murine Model of Orthotopic Lung Transplantation
Published on: July 10, 2012
[Discrepancies between the clinical and pathological diagnosis in lung transplant early mortality]
A González Castro1, J Llorca, B Fernández-Miret
1Servicio de Medicina Intensiva, Hospital Universitario Marqués de Valdecilla, Santander, España. jandro120475@hotmail.com
Objective:
To analyze the prevalence and frequency spectrum of the most relevant diseases found in the autopsies of patients who underwent a lung transplant and died in the first month after transplantation. To evaluate the consistency of the pre-and post-mortem diagnoses, comparing them with the Goldman et al. scale modified by Battle et al.
Material And Methods:
Retrospective and longitudinal analysis, comparison of the medical records and records of autopsies of patients who received a lung transplant in our center (University Hospital Marques de Valdecilla) from 1997 to 2007, who died in the early postoperative period (first month post-transplant). The discordance between clinical and pathological diagnosis was classified according to the classification of Goldman et al. and Battle et al. The Student t test for quantitative variables and chi-square for qualitative variables were used for the comparison of the groups.
Results:
The five class I errors are limited to respiratory diseases: 2 undiagnosed acute rejection, 1 bilateral pulmonary thromboembolism, 1 fat embolism and 1 hemorrhagic infarction of the lung graft. We found a significant difference (p=0.05) between days of survival of patients with group Class I errors (6+/-4.52 days) and patients from the group with no discrepancy (15.42+/-8.99).
Conclusion:
The short time between transplant and death of the patient reduces the possibility of reaching a correct diagnosis. Because of this information, diagnostic possibilities must be maximized in life-threatening diseases during this period. Therefore, the rate of autopsy studies in this period should be 100%.

