Detection of orthostatic hypotension with ambulatory blood pressure monitoring in parkinson's disease.
ABPM
awakening hypotension
hypotensive episodes
orthostatic hypotension
Journal
Hypertension research : official journal of the Japanese Society of Hypertension
ISSN: 1348-4214
Titre abrégé: Hypertens Res
Pays: England
ID NLM: 9307690
Informations de publication
Date de publication:
10 2019
10 2019
Historique:
received:
15
12
2018
accepted:
17
04
2019
revised:
10
04
2019
pubmed:
24
5
2019
medline:
6
10
2020
entrez:
24
5
2019
Statut:
ppublish
Résumé
We sought to test the accuracy of 24-hours ambulatory blood pressure (BP) monitoring (ABPM) for the detection of orthostatic hypotension (OH) in Parkinson's disease (PD). A total of 113 patients referred for autonomic testing between January 2015 and June 2017 underwent ABPM and office BP measurements in supine and standing positions. The study population consisted of 81 males and 32 females with PD duration of 6.5 ± 4.1 years and Hoehn and Yahr staging of 1 (13.3%), 1.5 (20.4%), 2 (27.4%), 2.5 (23.9%), 3 (13.3%), and 4 (1.8%). Motor fluctuations were present in 44% of patients. The data from office BP recordings were compared to selected ABPM parameters, and the results showed an association between OH and (a) ABPM-detected hypotensive episodes (Hypo-ep) and (b) ABPM-detected awakening hypotension (Hypo-aw). Having 2 or more Hypo-ep episodes ≤15 mmHg (systolic) compared to average 24-h systolic BP [Formula: see text] yielded 75% diagnostic accuracy for OH, while the presence of at least one [Formula: see text] within 90 min after getting up [Formula: see text] yielded 93% specificity for OH. A diagnostic accuracy of 87.6% was achieved when including daytime and nighttime ABPM values, weighted BP variability, systolic and diastolic BP loads, nocturnal dipping, and postprandial hypotension in a computerized prediction algorithm. In conclusion, our findings suggest that selected ABPM parameters, such as the number of hypotensive episodes and the presence of awakening hypotension, may be used to screen patients for OH, while using a computerized prediction algorithm that includes all ABPM parameters provides the greatest diagnostic accuracy.
Identifiants
pubmed: 31118487
doi: 10.1038/s41440-019-0267-x
pii: 10.1038/s41440-019-0267-x
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1552-1560Subventions
Organisme : NCATS NIH HHS
ID : KL2 TR001426
Pays : United States