Diagnostic properties of the Italian ECAS Carer Interview (ECAS-CI)

Poletti, Barbara; Aiello, Edoardo Nicolò; Solca, Federica; Torre, Silvia; Carelli, Laura; Ferrucci, Roberta; Verde, Federico; Ticozzi, Nicola; Silani, Vincenzo

doi:10.1007/s10072-022-06505-x

Diagnostic properties of the Italian ECAS Carer Interview (ECAS-CI)

Dokumentdetails

ID

doi:10.1007/s10072-022-06505-x...

Autor

Poletti, Barbara Aiello, Edoardo Nicolò Solca, Federica Torre, Silvia Carelli, Laura Ferrucci, Roberta Verde, Federico Ticozzi, Nicola Silani, Vincenzo

Langue

Editor

Springer

Kategorie

Medicine & Public Health

Jahr

2022

Auflistungsdatum

30.11.2022

Schlüsselwörter

edinburgh cognitive and behavioura... amyotrophic lateral sclerosis frontotemporal degeneration behavioural symptom psychometrics ecas fbi sc ecas-ci nos

Metrisch

Zusammenfassung

Background This study aimed at providing diagnostic properties and normative cut-offs for the Italian ECAS Carer Interview (ECAS-CI).

Materials N = 292 non-demented ALS patients and N = 107 healthy controls (HCs) underwent the ECAS-CI and the Frontal Behavioural Inventory (FBI).

Two ECAS-CI measures were addressed: (1) the number of symptoms (NoS; range = 0–13) and (2) that of individual symptom clusters (SC; range = 0–6).

Diagnostics were explored against an FBI score ≥ than the 95th percentile of the patients’ distribution.

Results Both the NoS and SC discriminated patient from HCs.

High accuracy, sensitivity, and specificity were detected for both the NoS and SC; however, at variance with SC, the NoS showed better post-test features and did not overestimate the occurrence of behavioural changes.

The ECAS-CI converged with the FBI and diverged from the cognitive section of the ECAS.

Discussion The ECAS-CI is a suitable screener for behavioural changes in ALS patients, with the NoS being its best outcome measure (cut-off: ≥ 3).

Poletti, Barbara,Aiello, Edoardo Nicolò,Solca, Federica,Torre, Silvia,Carelli, Laura,Ferrucci, Roberta,Verde, Federico,Ticozzi, Nicola,Silani, Vincenzo, 2022, Diagnostic properties of the Italian ECAS Carer Interview (ECAS-CI), Springer