Evidence map›Paper›PMID 38405860›Full record

ArticleResearch square2024

Hypotensive episodes at 24-h Ambulatory Blood Pressure Monitoring predict adverse outcomes in Parkinson's Disease.

Fabrizio Vallelonga, Matteo Valente, Marta Maria Tangari, Anna Covolo, Valeria Milazzo, Cristina Di Stefano, Gabriele Sobrero, Marta Giudici, Alberto Milan, Franco Veglio and 3 more

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 1 institution in 1 country.

Fabrizio VallelongaUniversita degli Studi di Torino Dipartimento di Scienze Mediche.ORCID 0000-0002-4628-6767
Matteo ValenteUniversita degli Studi di Torino Dipartimento di Scienze Mediche.
Marta Maria TangariUniversità degli Studi di Torino Dipartimento di Neuroscienze 'Rita Levi Montalcini': Universita degli Studi di Torino Dipartimento di Neuroscienze Rita Levi Montalcini.
Anna CovoloUniversita degli Studi di Torino Dipartimento di Neuroscienze Rita Levi Montalcini.
Valeria MilazzoUniversità degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche.
Cristina Di StefanoUniversità degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche.
Gabriele SobreroUniversità degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche.
Marta GiudiciUniversità degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche.
Alberto MilanUniversità degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche.
Franco VeglioUniversità degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche.
Leonardo LopianoUniversity of Turin Department of Neurosciences Rita Levi Montalcini: Universita degli Studi di Torino Dipartimento di Neuroscienze Rita Levi Montalcini.
Simona MauleUniversità degli Studi di Torino Dipartimento di Scienze Mediche: Universita degli Studi di Torino Dipartimento di Scienze Mediche.
Alberto RomagnoloUniversity of Turin Department of Neurosciences Rita Levi Montalcini: Universita degli Studi di Torino Dipartimento di Neuroscienze Rita Levi Montalcini.
University of Turin · IT

Funding

KL2 Training ProgramKL2TR001426 · NCATS · UNIVERSITY OF CINCINNATI · PI ZELLER, MARGARET H · 2015 to 2024
$6.8M
NCATS NIH HHS KL2 TR001426
6 · The paper itself

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.

Indexed as

adverse outcomesambulatory blood pressure monitoringdisability milestoneshypotensive episodesorthostatic hypotensionParkinson’s disease

Identifiers

PMID38405860
PMCPMC10889044
OpenAlexW4391559500

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.