Pheochromocytoma and paraganglioma: clinical feature-based disease probability in relation to catecholamine biochemistry and reason for disease suspicion.


Journal

European journal of endocrinology
ISSN: 1479-683X
Titre abrégé: Eur J Endocrinol
Pays: England
ID NLM: 9423848

Informations de publication

Date de publication:
Oct 2019
Historique:
received: 04 03 2019
accepted: 31 07 2019
pubmed: 2 8 2019
medline: 6 2 2020
entrez: 2 8 2019
Statut: ppublish

Résumé

Hypertension and symptoms of catecholamine excess are features of pheochromocytomas and paragangliomas (PPGLs). This prospective observational cohort study assessed whether differences in presenting features in patients tested for PPGLs might assist establishing likelihood of disease. Patients were tested for PPGLs because of signs and symptoms, an incidental mass on imaging or routine surveillance due to previous history or hereditary risk. Patients with (n = 245) compared to without (n = 1820) PPGLs were identified on follow-up. Differences in presenting features were then examined to assess the probability of disease and relationships to catecholamine excess. Hyperhidrosis, palpitations, pallor, tremor and nausea were 30-90% more prevalent (P < 0.001) among patients with than without PPGLs, whereas headache, flushing and other symptoms showed little or no differences. Although heart rates were higher (P < 0.0001) in patients with than without PPGLs, blood pressures were not higher and were positively correlated to BMI, which was lower (P < 0.0001) in patients with than without PPGLs. From these differences in clinical features, a score system was established that indicated a 5.8-fold higher probability of PPGLs in patients with high than low scores. Higher scores among patients with PPGLs were associated, independently of tumor size, with higher biochemical indices of catecholamine excess. This study identifies a complex of five signs and symptoms combined with lower BMI and elevated heart rate as key features in patients with PPGLs. Prevalences of these features, which reflect variable tumoral catecholamine production, may be used to triage patients according to likelihood of disease.

Identifiants

pubmed: 31370000
doi: 10.1530/EJE-19-0159
pii: EJE-19-0159.R2
doi:
pii:

Substances chimiques

Catecholamines 0

Types de publication

Clinical Trial Journal Article Multicenter Study Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

409-420

Auteurs

Aikaterini Geroula (A)

Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.

Timo Deutschbein (T)

Division of Endocrinology and Diabetes, Department of Internal Medicine I, University Hospital of Würzburg, Würzburg, Germany.

Katharina Langton (K)

Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.

Jimmy Masjkur (J)

Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.

Christina Pamporaki (C)

Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.

Mirko Peitzsch (M)

Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.

Stephanie Fliedner (S)

First Department of Medicine, University Medical Center Schleswig-Holstein, Lübeck, Germany.

Henri J L M Timmers (HJLM)

Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.

Stefan R Bornstein (SR)

Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.

Felix Beuschlein (F)

Medizinische Klinik und Poliklinik IV, Klinikum der Ludwig-Maximilians-Universität München, Munich, Germany.
Department of Endocrinology, Diabetology and Clinical Nutrition, UniviersitätsSpital Zürich, Zürich, Switzerland.

Anthony Stell (A)

Department of Computing and Information, University of Melbourne, Melbourne, Australia.

Andrzej Januszewicz (A)

Department of Hypertension, Institute of Cardiology, Warsaw, Poland.

Aleksander Prejbisz (A)

Department of Hypertension, Institute of Cardiology, Warsaw, Poland.

Martin Fassnacht (M)

Division of Endocrinology and Diabetes, Department of Internal Medicine I, University Hospital of Würzburg, Würzburg, Germany.

Jacques W M Lenders (JWM)

Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.

Graeme Eisenhofer (G)

Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.

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Classifications MeSH