Introduction

Vestibular symptoms are characterized as vertigo, dizziness, and disequilibrium, with the most common cause being benign paroxysmal positional vertigo (BPPV), which is an inner-ear disorder creating a spinning sensation of the head.1 The effects of HIV on the vestibular system are well documented.2–11 Castello et al12 found a 52% and 82% prevalence of corrective saccades and qualitative nystagmus abnormalities, respectively, among asymptomatic people living with HIV (PLWH), implying the involvement of the supratentorial areas, pons-cerebellar pathways, and the pretectal and paramedian pontine regions. Hausler et al13 reported an increase in abnormal central vestibular functioning in each stage of HIV infection, with 22% of patients with asymptomatic stage II disease presenting with abnormal vestibular functioning, 50% of patients with stage III disease, and 57% of patients with stage IV disease. Further, Heinze et al6 reported that PLWH are 16.61 times more likely to develop vestibular involvement than HIV-negative individuals. Given the demonstrated prevalence of vestibular involvement in PLWH, it is important for health care providers to have accurate vestibular screening tools to demonstrate whether further vestibular function clinical testing is warranted. A number of vestibular function tests (VFTs) have been used in the evaluation of patients, including electronystagmography with bithermic caloric testing,6,12–16 Romberg tests,17 and more recently, cervical vestibular evoked myogenic potentials.6

A thorough patient history and physical examination are necessary in obtaining a correct diagnosis in patients with vestibular disorders. Hoffman et al18 noted in their review of 66 articles evaluating diagnostic testing of vestibular pathology that patient history led to an accurate diagnosis in 75% of patients with vestibular dysfunction. Other studies have corroborated the diagnostic utility of vestibular symptoms.19–23

Before subjecting the patient to a battery of clinical testing, it would be useful to identify certain screening questions that are more indicative of vestibular impairment. Previous studies have demonstrated the utility of screening questions in diagnosis.20–23 However, relatively few have correlated these with results from VFTs. Our study aims to identify sensitive and specific vestibular symptoms that may be useful in selecting appropriate candidates in the HIV-positive patient population for follow-up clinical testing.

Methods

Ethics Statement

The institutional review boards for Johns Hopkins University, Georgetown University, and Whitman-Walker Health approved this study. All participants signed informed consent prior to enrollment.

Study Sample

Participants were enrolled from the Baltimore–Washington, DC, site of the Multicenter AIDS Cohort Study (MACS) and the Washington, DC, site of the Women’s Interagency HIV Study (WIHS). Both the MACS and WIHS are ongoing cohort studies of HIV infection in men and women, respectively.

This study is an extension of a 2012 study conducted by Cohen et al17 investigating vestibular function and balance in PLWH. The goal of this current study was to determine the sensitivity and specificity of self-reported symptoms of vestibular dysfunction compared with dysfunction determined by clinical testing, including the Dix-Hallpike (DH) maneuver and Romberg tests among the HIV-positive men and women only. Specifics of the testing paradigm and clinical evaluation were published elsewhere.17 Participants also completed the Adult Balance and Dizziness Supplemental questionnaire to the 2008 National Health Interview Survey.24

From March 2008 to September 2010, 545 potential participants were screened for eligibility for the study. Two HIV-positive men declined to participate in the process. Exclusions for enrollment into the 2012 study included spinal injury; radiation to the neck and spine; known vestibular impairment; and use of narcotics, antihistamines, or sedatives within 48 hours of testing. After exclusions, 247 HIV-positive people completed balance and vestibular testing. One limitation of this cohort sample is that it may not be representative of the HIV-positive population at large.

Statistical Analysis

Descriptive measures relevant to this study were age (5-year intervals), age (range), sex, and race/ethnicity. The Fisher exact test was performed on descriptive measures using GraphPad Prism version 8.4.3 for macOS.

One question eliciting symptoms of dizziness or balance problems in the last 12 months was identified from the Adult Balance and Dizziness Supplemental questionnaire to the 2008 National Health Interview Survey. Table 1 illustrates the question and its possible responses. Items c and d were deemed nonspecific responses and may arise from a myriad of other pathologies.1 Positive responses to those items were not considered to have reported true vestibular dysfunction. Positive responses to items a, b, e, and f were defined as true vestibular dysfunction. Negative responses to all of these items were defined as not having vestibular dysfunction. One missing response to items a and b were excluded from statistical analysis.

Table 1.Responses for Symptoms of Dizziness and Balance Problems Questiona
Response Question 1: This next question is about symptoms of dizziness or balance problems. Please tell me if you have had any of these in the past 12 months.
Please answer YES or NO to each.
a A spinning or vertigo sensation
b A floating, spacey, or tilting sensation
c Feeling lightheaded, without a sense of motion
d Feeling as if you are going to pass out or faint
e Blurring of vision when you move your head
f Feeling off-balance or unsteady

a This 6-part question was asked to study participants in order to assess self-reported vestibular disfunction. Participants answered either “yes” or “no” to each item, a through f.

Data for each outcome variable were coded as either normal or abnormal using definitions previously defined in the 2012 study.17 The following outcome variables were included in the data analysis: DH–any nystagmus; DH–nonclassical nystagmus; eyes closed, standing on foam (ECF) in the Romberg test, and gaze-evoked nystagmus. The number of DH–classical nystagmus responses were too small for data analysis. Contingency tables were generated for each of the above outcome variables in relation to the participant’s report of vestibular dysfunction. Sensitivity and specificity were then calculated using SAS version 9.4 (SAS Institute Inc).

Results

Table 2 shows the demographic characteristics of the participants. Overall, 246 participants answered the question regarding symptoms of dizziness or balance problems. Only 60 participants (24.4%) reported vestibular dysfunction. Of those who reported vestibular dysfunction, the overall mean (SD) age was 49.4 (9.0) years. Black women reported more vestibular dysfunction than Black men (73.0% vs 52.2%; P = .16), but this is consistent with the relative proportions of Black women and men in the total sample population (78.5% vs 53.6%; P < .001). More women than men reporting vestibular dysfunction were diagnosed as having AIDS at least 1 year prior to vestibular function testing (45.9% vs 30.4%), although the difference did not reach statistical significance (P = .29). Fewer women had virologic suppression to undetectable levels (43.2% vs 95.7%; P < .001) or were currently taking highly active antiretroviral therapy (73% vs 95.7%; P < .001).

Table 2.Descriptive Characteristics of the Sample by Sex
Reported vestibular dysfunction Did not report vestibular dysfunction
Male Female All Male Female All
No. of patients 23 37 60 102 84 186
Age, mean (SD), y 53.9
(7.9)
46.7
(8.6)
49.4
(9.0)
51.6
(8.0)
45.1
(8.6)
48.7
(8.9)
Race, No. (%)
Not Black 11
(47.8)
10
(27.0)
21
(35.0)
47
(45.6)
16
(19.0)
63
(33.7)
Black 12
(52.2)
27
(73.0)
39
(65.0)
55
(53.9)
68
(81.0)
123
(66.1)
Ever AIDS, No. (%) 7
(30.4)
17
(45.9)
24
(40)
15
(14.6)
27
(32.1)
42
(22.5)
Previous therapy, No. (%)
No therapy 1
(4.3)
8
(21.6)
9
(15.0)
16
(15.5)
25
(29.8)
41
(21.9)
Ever monotherapy 0 0 0 0 0 0
Ever combo therapy 0 2
(5.4)
2
(3.3)
4
(3.9)
1
(1.2)
5
(2.7)
Ever HAART 22
(95.7)
27
(73.0)
49
(81.7)
82
(80.4)
58
(69.1)
140
(75.3)
Current HAART use, No. (%) 22
(95.7)
27
(73.0)
49
(81.7)
82
(80.4)
58
(69.1)
140
(75.3)
CD4+, mean (SD)
Nadir 225.50
(151.4)
248.84
(226.2)
239.82
(199.8)
296.80
(175.6)
262.83
(161.7)
281.45
(169.9)
Current 545.52
(352.9)
536.68
(312.9)
540.07
(325.9)
574.00
(260.1)
546.60
(283.8)
561.61
(270.7)
CD8+, mean (SD)
Peak 1370.22
(714.2)
1409.86
(541.4)
1394.67
(607.8)
1491.00
(701.6)
1354.94
(703.6)
1429.55
(703.9)
Current 888.96
(439.1)
855.73
(302.0)
868.47
(357.5)
911.00
(397.0)
783.20
(384.9)
853.26
(395.70)
Undetectable viral load, No. (%) 22
(95.7)
16
(43.2)
38
(63.3)
76
(74.5)
44
(52.4)
120
(64.5)
Log viral load, median (IQR) 1.602
(1.60-1.60)
2.017
(1.68-3.52)
1.681
(1.60-2.83)
1.080
(1.60-1.77)
1.903
(1.68-3.21)
1.681
(1.60-2.77)

Abbreviations: HAART, highly active antiretroviral therapy; IQR, interquartile range.

Table 3 reports the diagnostic values of self-reported symptoms in identifying an abnormal test result, as well as the prevalence of the abnormal test within the study sample. The number of missing values for Dix-Hallpike - any nystagmus, Dix-Hallpike - classical, Dix-Hallpike - nonclassical, Gaze-evoked nystagmus, and Romberg ECF were 18, 18, 18, 19, and 10, respectively. The prevalence of abnormal test results was 40.8% for DH–any nystagmus, 1.5% for DH–classical nystagmus, 40.3% for DH–nonclassical nystagmus, 38.3% for gaze-evoked nystagmus, and 15.7% for Romberg ECF. Sensitivity of self-reported vestibular symptoms for all VFTs reported ranged from 23.1% to 50.0%. However, these symptoms were moderately specific ranging from 73.3% to 77.9%.

Table 3.Sensitivity, specificity, and prevalence of vestibular function for each test
Sensitivity %
(n-ratio)
Specificity %
(n-ratio)
Prevalence
(n-ratio)
Missing Test values
n
Dix-Hallpike, any nystagmus 23.7 %
(22/93)
73.3%
(99/135)
40.8%
(93/228)
18
Dix-Hallpike, classical 50.0%
(1/2)
73.3%
(99/135)
1.5%
(2/137)
18
Dix-Hallpike, nonclassical 23.1%
(21/91)
73.3%
(99/169)
40.3%
(91/226)
18
Gaze-evoked nystagmus 26.4%
(23/87)
75.0%
(105/140)
38.3%
(87/227)
19
Romberg ECF 37.8%
(14/37)
77.9%
(155/199)
15.7%
(37/236)
10

Abbreviation: ECF: eyes closed, standing on foam.

Discussion

Previously published work using symptoms as predictors of vestibular dysfunction have found different results regarding their value, citing higher sensitivity of symptoms in predicting benign paroxysmal positional vertigo (BPPV).21 Kentala and Rauch19 proposed a 3-parameter model (dizziness type, duration, and hearing loss) to assist in the triage of patients with dizziness. This instrument was only correct in classifying 60% of the participants but compared favorably with otoneurological expert systems. Oghalai et al21 indicated in their study of geriatric patients that the sensation of spinning without lightheadedness was 56% sensitive for BPPV. Halmagyi22 found in a review of diagnosis and management of BPPV that certain activities eliciting vertigo are clear indicators of BPPV, such as turning in bed at night or looking under the car. Zhao et al23 corroborated the utility of patient symptoms in facilitating diagnosis, reporting that certain variables were significant predictors of the disease.

However, our study finds far less utility in these symptoms as a means of screening due to their low sensitivity. Comparing self-reported symptoms with the results from VFTs used in the original 2012 study by Cohen et al,17 our sensitivity was low, ranging from 23.1% to 50.0%. This low range thus increases the chance of missing a patient who may be positive for vestibular dysfunction as defined by VFT. On the contrary, most of the self-reported symptoms had moderate specificity. As such, with moderate specificity, a negative response is adequately likely to correspond to a true lack of vestibular dysfunction. Given the questionable utility of these questions based on variable sensitivity and specificity, they are imperfect proxies for true vestibular dysfunction. In addition, determining whether self-reported symptoms can accurately predict a positive VFT result is limited by potential recall error.

Conclusions

The moderate specificity of self-reported symptoms of vestibular dysfunction is potentially useful to rule out a vestibular disorder in this sample of middle-aged PLWH. However, the low sensitivity indicates that self-reported symptoms could not accurately predict vestibular dysfunction. This pilot study will be expanded in the future to collect data from a larger sample size within the cohorts of HIV-positive men and women.


Conflicts of interest

These authors contributed equally to the work and report no conflicts of interest.

Disclosure statement

No financial disclosures were reported by the authors of this paper.

Corresponding Author:

Michael Plankey, PhD
Georgetown University Medical Center
3800 Reservoir Road, NW
Department of Medicine
PHC 5th Floor
Washington, DC 20007
Phone: 202-784-2687
mwp23@georgetown.edu

Acknowledgements

The contents of this publication are solely the responsibility of the authors and do not represent the official views of the National Institutes of Health (NIH). The Multicenter AIDS Cohort Study (MACS)/Women’s Interagency HIV Study (WIHS) Combined Cohort Study (MWCCS) include the following: principal investigators: Baltimore CRS (Todd Brown and Joseph Margolick), U01-HL146201; data analysis and coordination center (Gypsyamber D’Souza, Stephen Gange, and Elizabeth Golub); and Metropolitan Washington CRS (Seble Kassaye and Daniel Merenstein), U01-HL146205. The MWCCS is funded primarily by the National Heart, Lung, and Blood Institute, with additional co-funding from the Eunice Kennedy Shriver National Institute of Child Health & Human Development, National Institute on Aging, National Institute of Dental and Craniofacial Research, National Institute of Allergy and Infectious Diseases, National Institute of Neurological Disorders and Stroke, National Institute of Mental Health, National Institute on Drug Abuse, National Institute of Nursing Research, National Cancer Institute, National Institute on Alcohol Abuse and Alcoholism, National Institute on Deafness and Other Communication Disorders, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute on Minority Health and Health Disparities, and in coordination and alignment with the research priorities of the NIH, Office of AIDS Research. MWCCS data collection is also supported by grants UL1-TR000004 (UCSF CTSA), P30-AI-050409 (Atlanta CFAR), P30-AI-050410 (UNC CFAR), and P30-AI-027767 (UAB CFAR). The MWCCS website is http://www.mwccs.org. The study investigators thank the MACS men and WIHS women for participating in this pilot study.