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Research ArticleOriginal Research

Predicting an Unfavorable Course of Dizziness in Older Patients

Hanneke Stam, Otto R. Maarsingh, Martijn W. Heymans, Henk C.P.M. van Weert, Johannes C. van der Wouden and Henriëtte E. van der Horst
The Annals of Family Medicine September 2018, 16 (5) 428-435; DOI: https://doi.org/10.1370/afm.2289
Hanneke Stam
1Department of General Practice and Elderly Care Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Iniversiteit Amsterdam, Amsterdam, The Netherlands
MD
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  • For correspondence: stam.h@vumc.nl
Otto R. Maarsingh
1Department of General Practice and Elderly Care Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Iniversiteit Amsterdam, Amsterdam, The Netherlands
MD, PhD
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Martijn W. Heymans
2Department of Clinical Epidemiology and Biostatistics, Amsterdam UMC, Vrije Iniversiteit Amsterdam, Amsterdam, The Netherlands
PhD
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Henk C.P.M. van Weert
3Department of General Practice, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
MD, PhD
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Johannes C. van der Wouden
1Department of General Practice and Elderly Care Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Iniversiteit Amsterdam, Amsterdam, The Netherlands
PhD
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Henriëtte E. van der Horst
1Department of General Practice and Elderly Care Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Iniversiteit Amsterdam, Amsterdam, The Netherlands
MD, PhD
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    Table 1

    Baseline Characteristics of Patients in the Development and Validation Cohorts

    CharacteristicDevelopment Cohort (n = 203)Validation Cohort (n = 415)
    Unfavorable dizziness course,a No. (%)150 (73.9)181 (43.6)
    Female, No. (%)127 (62.6)305 (73.5)
    Age, mean (SD), y77.5 (7.0)78.5 (7.1)
    Number of chronic diseases, mean (SD)1.8 (1.4)2.1 (1.4)
    Number of drugs used, mean (SD)5.5 (3.6)4.4 (3.0)
    Dizziness characteristics
    DHI score,b mean (SD) [range]46.2 (13.4) [30–88]36.1 (19.9) [0–88]
    Time since onset of dizziness, No. (%)
     0–4 weeks3 (1.5)29 (7.0)
     1–6 months34 (16.7)98 (23.6)
     6–48 months49 (24.1)109 (26.3)
     2–10 years74 (36.5)120 (28.9)
     >10 years42 (21.2)59 (14.2)
    Description of dizziness, No. (%)c
     Instability or unsteadiness162 (79.8)280 (67.5)
     Loss of balance165 (81.3)287 (69.2)
     Lightheadedness145 (71.4)247 (59.5)
     Rotational sensation137 (67.5)228 (54.9)
     Tendency to fall135 (66.5)225 (54.2)
     Giddy115 (56.7)176 (42.2)
     Environment spinning84 (41.4)137 (33.0)
     Becoming unwell60 (29.6)114 (27.5)
     Near faint59 (29.1)96 (23.1)
     Everything turning black39 (19.2)68 (16.4)
    • DHI = Dizziness Handicap Inventory.

    • ↵a At 6 months of follow-up.

    • b Score ranges from 0 to 100, with higher scores indicating more severe dizziness-related impairment.

    • c Adds up to more than 100% because more than 1 answer was allowed.

    • View popup
    Table 2

    Prediction Model for an Unfavorable Course of Dizziness in Older Adults

    PredictorBOR (95% CI)P Value
    Intercept−6.385––
    DHI-S score,a per point0.1271.14 (1.07–1.21)<.001
    Age, per year0.0631.06 (1.00–1.13).04
    History of arrhythmiab0.6611.94 (0.81–4.63).14
    Looking up as provoking factorb0.6901.99 (0.92–4.32).08
    • B = regression coefficient; OR = odds ratio; DHI-S = screening version of Dizziness Handicap Inventory.

    • Note: Adjusted model on internal validation, linear predictor = −5.687 + (0.115 × DHI-S) + (0.056 × age) + (0.597 × history of arrhythmia) + (0.623 × looking up as provoking factor).

    • ↵a Score ranges from 0 to 40, with higher scores indicating more severe dizziness-related impairment.

    • ↵b Yes = 1, no = 0.

    • View popup
    Table 3

    Predictors in the Development and Validation Cohorts

    PredictorDevelopment CohortValidation Cohort
    Age, mean (SD), y77.5 (7.0)78.5 (7.1)
    DHI-S score, mean (SD)17.4 (6.9)13.7 (9.3)
    History of arrhythmia59 (29.1)39 (22.4)
    Looking up as provoking factor129 (63.5)214 (51.6)
    • DHI-S = screening version of Dizziness Handicap Inventory.

    • View popup
    Table 4

    Risk Score for an Unfavorable Course of Dizziness in Older Adults

    Predictor at BaselineScore
    Age in years1 × age
    DHI-S score in points2 × DHI-S score
    History of arrhythmia
     Yes11
     No0
    Looking up as provoking factor
     Yes11
     No0
    • DHI-S = screening version of the Dizziness Handicap Inventory.

    • Note: Risk score is derived by adding all scores. Example: A man aged 78 years with a DHI-S score of 14, a history of arrhythmia, and looking up not being a provoking factor for dizziness will have a score of (78 + [2 × 14] + 11 + 0) = 117.

    • A score of ≥134 corresponds to a high risk of an unfavorable course of dizziness. The risk of an unfavorable course of dizziness is ≥77.1% for patients with a score ≥134 (see Table 5).

    • View popup
    Table 5

    Model Predictive Performance in the Validation Cohort at Various Risk Score Thresholds

    Risk Score Threshold (Percentage of Total Sample)True Positive, No.True Negative, No.False-Positive, No.False-Negative, No.Sensitivity, %Specificity, %Positive Predictive Value, %Negative Predictive Value, %
      ≥69 (100)18102340100.0na43.6na
     ≥86 (90)17535199696.715.046.885.4
     ≥92 (80)169711631293.430.350.985.5
     ≥98 (70)1591021322287.843.654.682.3
    ≥105 (60)152137972984.058.561.082.5
    ≥113 (50)137163714475.769.765.978.7
    ≥119 (40)116184506564.178.669.973.9
    ≥126 (30)91201339050.385.973.469.1
    ≥134 (20)642151911735.491.977.164.8
    ≥150 (10)34227714718.897.082.960.7
    >176 (0)02340181na100.0na56.4
    • na = not applicable.

Additional Files

  • Tables
  • Supplemental Appendixes 1-5

    Supplemental appendixes 1-5

    Files in this Data Supplement:

    • Supplemental data: Appendixes - PDF file
  • The Article in Brief

    Predicting an Unfavorable Course of Dizziness in Older Patients

    Hanneke Stam , and colleagues

    Background Dizziness, which strongly affects daily functioning in older adults, can refer to several different sensations. Defining the type of dizziness might help the physician better understand the cause of a patient"s dizziness. The aim of this study is to develop and externally validate a prediction model for an unfavorable course of dizziness in older people in primary care, with dizziness-related impairment as starting point.

    What This Study Found A new tool can help primary care physicians identify older patients at risk of an unfavorable course of dizziness (i.e., six months of substantial dizziness-related impairment). The risk score, based on a validated prediction model, consists of four easily obtained predictors of dizziness: age, history of arrhythmia, score on the Dizziness Handicap Inventory (screening version), and looking up as a trigger for dizziness.

    Implications

    • The authors suggest that the tool can activate primary care physicians to target potential contributing factors for high risk of an unfavorable course of dizziness, even when the cause of dizziness is unknown.
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The Annals of Family Medicine: 16 (5)
The Annals of Family Medicine: 16 (5)
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September/October 2018
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Predicting an Unfavorable Course of Dizziness in Older Patients
Hanneke Stam, Otto R. Maarsingh, Martijn W. Heymans, Henk C.P.M. van Weert, Johannes C. van der Wouden, Henriëtte E. van der Horst
The Annals of Family Medicine Sep 2018, 16 (5) 428-435; DOI: 10.1370/afm.2289

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Predicting an Unfavorable Course of Dizziness in Older Patients
Hanneke Stam, Otto R. Maarsingh, Martijn W. Heymans, Henk C.P.M. van Weert, Johannes C. van der Wouden, Henriëtte E. van der Horst
The Annals of Family Medicine Sep 2018, 16 (5) 428-435; DOI: 10.1370/afm.2289
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Subjects

  • Domains of illness & health:
    • Acute illness
    • Chronic illness
    • Disease pathophysiology / etiology
  • Person groups:
    • Older adults
  • Methods:
    • Quantitative methods

Keywords

  • dizziness
  • older adults
  • risk prediction
  • risk factors
  • falls
  • geriatrics
  • practice-based research
  • primary care

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