ECE2022 Poster Presentations Adrenal and Cardiovascular Endocrinology (87 abstracts)
Development and internal validation of a predictive model for the estimation of pheochromocytoma recurrence risk after radical surgery
Chiara Lopez 1 , Mirko Parasiliti Caprino 1 , Fabio Bioletto 1 , Martina Bollati 1 , Francesca Maletta 2 , Marina Caputo 3 , Valentina Gasco 1 , Antonio La Grotta 4 , Paolo Limone 5 , Giorgio Borretta 6 , Marco Volante 7 , Mauro Papotti 2 , Massimo Terzolo 8 , Mario Morino 9 , Barbara Pasini 10 , Franco Veglio 11 , Ezio Ghigo 1 , Emanuela Arvat 12 & Mauro Maccario 1
1Endocrinology, Diabetes and Metabolism; Department of Medical Sciences; University of Turin;, Turin, Italy; 2Pathology Unit, Department of Oncology, University of Turin, Turin, Italy; 3, Endocrinology and Diabetes, University of Eastern Piedmont, Novara, Italy; 4Endocrinology and Hypertension, Cardinal Massaia Hospital, Asti, Italy, Asti, Italy; 5Endocrinology, Diabetes and Metabolism, A.O. Ordine Mauriziano, Turin, Italy; 6Cuneo, Endocrinology and Metabolism, Santa Croce and Carle Hospital, Cuneo, Italy; 7Pathology Unit; Department of Oncology; University of Turin;, Orbassano, Italy; 8Internal Medicine, Department of Biological and Clinical Sciences, University of Turin, Orbassano, Italy; 9Surgery, Department of Surgical Sciences, University of Turin, Turin, Italy; 10Medical Genetics, Department of Medical Sciences, University of Turin, Turin, Italy; 11Internal Medicine and Hypertension Unit, Department of Medical Sciences, University of Turin, Turin, Italy; 12Oncological Endocrinology, Department of Medical Sciences, University of Turin, Turin, Italy
Objective: Various features have been identified as predictors of relapse after complete resection of pheochromocytoma, but a comprehensive multivariable model for recurrence risk prediction is lacking. The aim of this study was to develop and internally validate an integrated predictive model for post-surgical recurrence of pheochromocytoma.
Methods: The present research retrospectively enrolled 177 patients affected by pheochromocytoma and submitted to radical surgery from 1990 to 2016, in nine referral centers for adrenal diseases. Cox regression analysis was adopted for model development, and a bootstrapping procedure was used for internal validation.
Results: Variables independently associated with recurrence were tumor size (HR 1.01, 95%CI 1.00–1.02), positive genetic testing (HR 5.14, 95%CI 2.10–12.55), age (HR 0.97, 95%CI 0.94–0.99), and PASS (HR 1.16, 95%CI 1.04–1.29). The predictive performance of the overall model, evaluated by Somers’ D, was equal to 0.594, and was significantly higher than the ones of any single predictor alone (P=0.002 compared to tumor size; P=0.004 compared to genetic testing; P=0.048 compared to age; P=0.006 compared to PASS). Internal validation by bootstrapping techniques estimated an optimistic bias of 6.3%, which reassured about a small tendency towards overfit.
Conclusions: We proposed a multivariable model for the prediction of post-surgical recurrence of pheochromocytoma, derived by the integration of genetic, histopathological and clinical data. This predictive tool may be of value for a comprehensive tailoring of post-surgical follow-up in radically operated pheochromocytoma patients.
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Endocrine Abstracts
ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
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