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Vallelonga F, Valente M, Tangari MM, Covolo A, Milazzo V, Di Stefano C, Sobrero G, Giudici M, Milan A, Veglio F, Lopiano L, Maule S, Romagnolo A. Hypotensive episodes at 24-h Ambulatory Blood Pressure Monitoring predict adverse outcomes in Parkinson's Disease. Res Sq 2024:rs.3.rs-3904996. [PMID: 38405860 PMCID: PMC10889044 DOI: 10.21203/rs.3.rs-3904996/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Purpose Neurogenic orthostatic hypotension (nOH) is a frequent non-motor feature of Parkinson's disease (PD), associated with adverse outcomes. Recently, 24-hour ambulatory BP monitoring (ABPM) has been shown to diagnose nOH with good accuracy (in the presence of at least 2 episodes of systolic BP drop ≥ 15 mmHg compared to the average 24-h). This study aims at evaluating the prognostic role of ABPM-hypotensive episodes in predicting PD disability milestones and mortality and comparing it to well-defined prognostic role of nOH. Methods PD patients who underwent ABPM from January 2012 to December 2014 were retrospectively enrolled and assessed for the development of falls, fractures, dementia, bed/wheelchair confinement, hospitalization, mortality, during an up-to-10-year follow-up. Results Ninety-nine patients (male 74%; age: 64.0 ± 10.1 years; PD duration: 6.4 ± 4.0 years) were enrolled. At baseline, 38.4% of patients had ABPM-hypotensive episodes and 46.5% had bedside nOH.At Kaplan-Meier analysis patients with ABPM-hypotensive episodes had an earlier onset of falls (p = 0.001), fractures (p = 0.004), hospitalizations (p = 0.009), bed/wheelchair confinement (p = 0.032), dementia (p = 0.001), and showed a shorter survival (8.0vs9.5 years; p = 0.009). At Cox regression analysis (adjusted for age, disease duration, Charlson Comorbidity Index, and H&Y stage at baseline) a significant association was confirmed between ABPM-hypotensive episodes and falls (OR:3.626; p = 0.001), hospitalizations (OR:2.016; p = 0.038), and dementia (OR:2.926; p = 0.008), while bedside nOH was only associated with falls (OR 2.022; p = 0.039) and dementia (OR:1.908; p = 0.048). Conclusion The presence of at least two ABPM-hypotensive episodes independently predicted the development of falls, dementia, and hospitalization, showing a stronger prognostic value than the simple bedside assessment.
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Affiliation(s)
| | - Matteo Valente
- Universita degli Studi di Torino Dipartimento di Scienze Mediche
| | - Marta Maria Tangari
- Università degli Studi di Torino Dipartimento di Neuroscienze 'Rita Levi Montalcini': Universita degli Studi di Torino Dipartimento di Neuroscienze Rita Levi Montalcini
| | - Anna Covolo
- Universita degli Studi di Torino Dipartimento di Neuroscienze Rita Levi Montalcini
| | - Valeria Milazzo
- Università degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche
| | - Cristina Di Stefano
- Università degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche
| | - Gabriele Sobrero
- Università degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche
| | - Marta Giudici
- Università degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche
| | - Alberto Milan
- Università degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche
| | - Franco Veglio
- Università degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche
| | - Leonardo Lopiano
- University of Turin Department of Neurosciences Rita Levi Montalcini: Universita degli Studi di Torino Dipartimento di Neuroscienze Rita Levi Montalcini
| | - Simona Maule
- Università degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche
| | - Alberto Romagnolo
- University of Turin Department of Neurosciences Rita Levi Montalcini: Universita degli Studi di Torino Dipartimento di Neuroscienze Rita Levi Montalcini
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Vallelonga F, Romagnolo A, Merola A, Sobrero G, Di Stefano C, Milazzo V, Burrello J, Burrello A, Zibetti M, Milan A, Veglio F, Maule S. Detection of orthostatic hypotension with ambulatory blood pressure monitoring in parkinson's disease. Hypertens Res 2019; 42:1552-1560. [PMID: 31118487 DOI: 10.1038/s41440-019-0267-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2018] [Revised: 04/10/2019] [Accepted: 04/17/2019] [Indexed: 01/07/2023]
Abstract
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.
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Affiliation(s)
- Fabrizio Vallelonga
- Autonomic Unit and Hypertension Unit, Department of Medical Sciences, University of Turin, via Genova 3, 10126, Turin, Italy.
| | - Alberto Romagnolo
- Department of Neuroscience "Rita Levi Montalcini", University of Turin, via Cherasco 15, 10124, Turin, Italy
| | - Aristide Merola
- Gardner Family Center for Parkinson's Disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, USA
| | - Gabriele Sobrero
- Autonomic Unit and Hypertension Unit, Department of Medical Sciences, University of Turin, via Genova 3, 10126, Turin, Italy
| | - Cristina Di Stefano
- Autonomic Unit and Hypertension Unit, Department of Medical Sciences, University of Turin, via Genova 3, 10126, Turin, Italy
| | - Valeria Milazzo
- Autonomic Unit and Hypertension Unit, Department of Medical Sciences, University of Turin, via Genova 3, 10126, Turin, Italy
| | - Jacopo Burrello
- Autonomic Unit and Hypertension Unit, Department of Medical Sciences, University of Turin, via Genova 3, 10126, Turin, Italy
| | - Alessio Burrello
- Department of Electronics and telecommunications, Polytechnic University of Turin, Turin, Italy
| | - Maurizio Zibetti
- Department of Neuroscience "Rita Levi Montalcini", University of Turin, via Cherasco 15, 10124, Turin, Italy
| | - Alberto Milan
- Autonomic Unit and Hypertension Unit, Department of Medical Sciences, University of Turin, via Genova 3, 10126, Turin, Italy
| | - Franco Veglio
- Autonomic Unit and Hypertension Unit, Department of Medical Sciences, University of Turin, via Genova 3, 10126, Turin, Italy
| | - Simona Maule
- Autonomic Unit and Hypertension Unit, Department of Medical Sciences, University of Turin, via Genova 3, 10126, Turin, Italy
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