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Development of a Score for Prediction of Occult Malignancy in Stroke Patients (Occult-5 Score).
Beyeler, Morin; Birner, Barbara; Branca, Mattia; Meinel, Thomas; Vynckier, Jan; Buffle, Eric; Scutelnic, Adrian; Heldner, Mirjam R; Bücke, Philipp; Seiffge, David; Mordasini, Pascale; Dobrocky, Tomas; Piechowiak, Eike I; Kaesmacher, Johannes; Gralla, Jan; Mattle, Heinrich P; Arnold, Marcel; Fischer, Urs; Pabst, Thomas; Berger, Martin D; Jung, Simon.
Afiliación
  • Beyeler M; Department of Neurology, Inselspital, Bern University Hospital, and University of Bern, Switzerland; Graduate School for Health Sciences, University of Bern, Switzerland. Electronic address: morin.beyeler@insel.ch.
  • Birner B; Department of Neurology, Inselspital, Bern University Hospital, and University of Bern, Switzerland.
  • Branca M; CTU Bern, University of Bern, Bern, Switzerland.
  • Meinel T; Department of Neurology, Inselspital, Bern University Hospital, and University of Bern, Switzerland.
  • Vynckier J; Department of Neurology, Inselspital, Bern University Hospital, and University of Bern, Switzerland; Department of Neurology, Onze Lieve Vrouwziekenhuis Hospital, Aalst, Belgium.
  • Buffle E; ARTORG Center, University of Bern, Bern, Switzerland; Department of Cardiology, Inselspital, Bern University Hospital, and University of Bern, Switzerland.
  • Scutelnic A; Department of Neurology, Inselspital, Bern University Hospital, and University of Bern, Switzerland.
  • Heldner MR; Department of Neurology, Inselspital, Bern University Hospital, and University of Bern, Switzerland.
  • Bücke P; Department of Neurology, Inselspital, Bern University Hospital, and University of Bern, Switzerland.
  • Seiffge D; Department of Neurology, Inselspital, Bern University Hospital, and University of Bern, Switzerland.
  • Mordasini P; Department of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, and University of Bern, Switzerland.
  • Dobrocky T; Department of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, and University of Bern, Switzerland.
  • Piechowiak EI; Department of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, and University of Bern, Switzerland.
  • Kaesmacher J; Department of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, and University of Bern, Switzerland.
  • Gralla J; Department of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, and University of Bern, Switzerland.
  • Mattle HP; Department of Neurology, Inselspital, Bern University Hospital, and University of Bern, Switzerland.
  • Arnold M; Department of Neurology, Inselspital, Bern University Hospital, and University of Bern, Switzerland.
  • Fischer U; Department of Neurology, Inselspital, Bern University Hospital, and University of Bern, Switzerland; Neurology Department, University Hospital of Basel, University of Basel, Basel, Switzerland.
  • Pabst T; Department of Medical Oncology, Inselspital, Bern University Hospital, and University of Bern, Switzerland.
  • Berger MD; Department of Medical Oncology, Inselspital, Bern University Hospital, and University of Bern, Switzerland.
  • Jung S; Department of Neurology, Inselspital, Bern University Hospital, and University of Bern, Switzerland.
J Stroke Cerebrovasc Dis ; 31(8): 106609, 2022 Aug.
Article en En | MEDLINE | ID: mdl-35753093
ABSTRACT
BACKGROUND AND

PURPOSE:

Malignancy associated acute ischemic stroke (AIS) requires specific diagnostic work-up, treatment and prevention to improve outcome. This study aimed to develop a biomarker-based score for prediction of occult malignancy in AIS patients.

METHODS:

Single-center cross-sectional study including consecutive AIS patients treated between July 2017 and November 2018. Patients with active malignancy at presentation, or diagnosed within 1 year thereafter and patients free of malignancy, were included and malignancy associated biomarkers were assessed. LASSO analyses of logistic regression were performed to determine biomarkers predictive of active malignancy. Predictors were derived from a predictive model for active malignancy. A comparison between known and unknown (=occult) malignancies when the index stroke occurred was used to eliminate variables not associated with occult malignancy. A predictive score (OCCULT-5 score) for occult malignancy was developed based on the remaining variables.

RESULTS:

From 1001 AIS patients, 61 (6%) presented an active malignancy. Thirty-nine (64%) were known and 22 (36%) occult. Five variables were included in the final OCCULT-5 score age ≥ 77 years, embolic stroke of undetermined source, multi-territorial infarcts, D-dimer levels ≥ 820 µ/gL, and female sex. A score of ≥ 3 predicted an underlying occult malignancy with a sensitivity of 64%, specificity of 73%, positive likelihood ratio of 2.35 and a negative likelihood ratio of 0.50.

CONCLUSIONS:

The OCCULT-5 score might be useful to identify patients with occult malignancy. It may thus contribute to a more effective and timely treatment and thus lead to a positive impact on overall outcome.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Accidente Cerebrovascular / Accidente Cerebrovascular Isquémico / Neoplasias Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans Idioma: En Revista: J Stroke Cerebrovasc Dis Asunto de la revista: ANGIOLOGIA / CEREBRO Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Accidente Cerebrovascular / Accidente Cerebrovascular Isquémico / Neoplasias Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans Idioma: En Revista: J Stroke Cerebrovasc Dis Asunto de la revista: ANGIOLOGIA / CEREBRO Año: 2022 Tipo del documento: Article