Repository logo
 
Publication

Psychometric properties of clinical indicators for identification and management of advanced Parkinson’s disease : real-world evidence from G7 countries

2022-03Contribution to journal Open access
Simple item page
datacite.subject.fosCiências Médicas
datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorAntonini, Angelo
dc.contributor.authorPahwa, Rajesh
dc.contributor.authorOdin, Per
dc.contributor.authorHenriksen, Tove
dc.contributor.authorSoileau, Michael J.
dc.contributor.authorRodriguez-Cruz, Ramon
dc.contributor.authorIsaacson, Stuart H.
dc.contributor.authorMerola, Aristide
dc.contributor.authorLindvall, Susanna
dc.contributor.authorDomingos, Josefa
dc.contributor.authorAlobaidi, Ali
dc.contributor.authorJalundhwala, Yash J.
dc.contributor.authorKandukuri, Prasanna L.
dc.contributor.authorParra, Juan Carlos
dc.contributor.authorKukreja, Pavnit K.
dc.contributor.authorOnuk, Koray
dc.contributor.authorBergmann, Lars
dc.contributor.authorPike, James
dc.contributor.authorChaudhuri, K. Ray
dc.date.accessioned2025-11-26T15:01:50Z
dc.date.available2025-11-26T15:01:50Z
dc.date.issued2022-03
dc.description.abstractIntroduction: Standardized and validated criteria to define advanced Parkinson’s disease (PD) or identify patient eligibility for device-aided therapy are needed. This study assessed the psychometric properties of clinical indicators of advanced PD and eligibility for device-aided therapy in a large population. Methods: This retrospective analysis of the Adelphi Parkinson’s Disease Specific Programme collected data from device-aided therapy-naïve people with PD in G7 countries. We assessed the presence of 15 clinical indicators of advancing PD and seven indicators of eligibility for device-aided therapy in patients classified with advanced PD or as eligible for device-aided therapy by the treating physician. Accuracy was assessed using area under the curve (AUC) and multivariable logistic regression models. Construct validity was examined via known-group comparisons of disease severity and burden among patients with and without each clinical indicator. Results: Of 4714 PD patients, 14.9% were classified with advanced PD and 17.5% as eligible for device-aided therapy by physician judgment. The presence of each clinical indicator was 1.9- to 7.3-fold more likely in patients classified with advanced PD. Similarly, the presence of device-aided therapy eligibility indicators was 1.8- to 5.5-fold more likely in patients considered eligible for device-aided therapy. All indicators demonstrated high clinical screening accuracy for identifying advanced PD (AUC range 0.84–0.89) and patients eligible for device-aided therapy (AUC range 0.73–0.80). The Unified Parkinson’s Disease Rating Scale (UPDRS) score, cognitive function, quality of life, and caregiver burden were significantly worse in indicator-positive patients. Conclusion: Specific clinical indicators of advanced PD and eligibility for device-aided therapy demonstrated excellent psychometric properties in a large sample, and thus may provide an objective and reliable approach for patient identification and treatment optimization.eng
dc.identifier.citationAntonini, A., Pahwa, R., Odin, P. et al. Psychometric Properties of Clinical Indicators for Identification and Management of Advanced Parkinson’s Disease: Real-World Evidence From G7 Countries. Neurol Ther 11, 303–318 (2022). https://doi.org/10.1007/s40120-021-00313-9
dc.identifier.doi10.1007/s40120-021-00313-9
dc.identifier.issn2193-6536
dc.identifier.urihttp://hdl.handle.net/10400.26/60036
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relation.hasversionhttps://doi.org/10.1007/s40120-021-00313-9
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectAdvanced Parkinson’s disease
dc.subjectClinical indicators
dc.subjectDevice-aided therapy eligibility
dc.subjectAccuracy
dc.subjectValidity
dc.titlePsychometric properties of clinical indicators for identification and management of advanced Parkinson’s disease : real-world evidence from G7 countrieseng
dc.typecontribution to journal
dspace.entity.typePublication
oaire.citation.endPage318
oaire.citation.startPage303
oaire.citation.titleNeurology and Therapy
oaire.citation.volume11
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Artigo_JosefaDomingos_2022_02.pdf
Size:
1.51 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.85 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

EM - Artigos Científicos