Evidence map›Paper›PMID 39489161›Full record

ArticleGeriatrics & gerontology international2024

Blood pressure variability associated with falls in nursing home residents.

El Hassan Soultan, Anjandeep Hara, Peter Knutson, Elizabeth Holzwarth, Marilyn Klug, Marc D Basson, Lindsey Dahl, Ryan McGrath, Gunjan Manocha, Donald A Jurivich

Abstract read
In one paragraph

Article in Geriatrics & gerontology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

El Hassan SoultanDepartment of Geriatrics, University of North Dakota, School of Medicine and Health Sciences, Grand Forks, North Dakota, USA.
Anjandeep HaraDepartment of Geriatrics, University of North Dakota, School of Medicine and Health Sciences, Grand Forks, North Dakota, USA.
Peter KnutsonDepartment of Geriatrics, University of North Dakota, School of Medicine and Health Sciences, Grand Forks, North Dakota, USA.
Elizabeth HolzwarthDepartment of Geriatrics, University of North Dakota, School of Medicine and Health Sciences, Grand Forks, North Dakota, USA.
Marilyn KlugDepartment of Population Health, Education Resources, University of North Dakota, School of Medicine and Health Sciences, Grand Forks, North Dakota, USA.
Marc D BassonDepartment of Surgery, Northeast Ohio Medical University, Rootstown, Ohio, USA.
Lindsey DahlDepartment of Geriatrics, University of North Dakota, School of Medicine and Health Sciences, Grand Forks, North Dakota, USA.
Ryan McGrathDepartment of Health, Nutrition and Exercise Sciences, North Dakota State University, Fargo, North Dakota, USA.ORCID https://orcid.org/0000-0002-0644-5524
Gunjan ManochaDepartment of Geriatrics, University of North Dakota, School of Medicine and Health Sciences, Grand Forks, North Dakota, USA.ORCID https://orcid.org/0000-0003-4488-6627
Donald A JurivichDepartment of Geriatrics, University of North Dakota, School of Medicine and Health Sciences, Grand Forks, North Dakota, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh variations in serially measured blood pressures (BPs) portend a variety of adverse clinical events including dementia, cardiovascular sequelae and frailty. In this study, systolic blood pressure variability (BPV) was examined for its association with fall frequency and time to next fall among older adults living in nursing homes.

methodsBP values and falls over time were extracted from medical records of nursing home residents aged ≥65 years over a 10-month period. BPV was measured as the standard deviation of 17 to 20 systolic values, and its correlation with falls and time to next fall were evaluated according to quartile values.

resultsOne hundred patient charts were analyzed with nearly 2000 BP data points. All older adults had at least one fall incident. Higher BPV was related to more falls, shorter time between the first and second fall and fewer average days between falls. Subgroups of high BP and different diagnoses affected this association between BPV and falls.

conclusionsPeople who fall often show a high variability in BP; as the number of falls increases, the BPV also increases. This study suggests that BPV may be marker for patients who might benefit from more aggressive application of fall reduction strategies. Geriatr Gerontol Int 2024; 24: 1315-1319.

Indexed as

Accidental FallsBlood PressureNursing HomesAgedAged, 80 and overBlood Pressure DeterminationFemaleHomes for the AgedHumansMaleRetrospective StudiesRisk Factorsblood pressure variabilityBPVfallsnursing homesystolic blood pressure

Identifiers

PMID39489161
PMCPMC11628908

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