| Literature DB >> 33642214 |
Maria Gabriela Bonilha Vallim1, Guilherme Paiva Gabriel2, Raquel Mezzalira2, Guita Stoler2, Carlos Takahiro Chone2.
Abstract
INTRODUCTION: Caloric testing is the most frequently used test to assess peripheral vestibular function since the beginning of the 20th century. However, the video head impulse test, vHIT, has gained prominence in the field of neurotology, as it is a faster examination, easier to perform and less uncomfortable for the patient.Entities:
Keywords: Caloric test; Vestibulo-ocular reflex, vertigo; Video head impulse test
Mesh:
Year: 2021 PMID: 33642214 PMCID: PMC9422509 DOI: 10.1016/j.bjorl.2021.01.002
Source DB: PubMed Journal: Braz J Otorhinolaryngol ISSN: 1808-8686
Figure 1Flowchart of article selection.
Quality control of selected studies according to the Agency for Health Care Research and Quality (AHRQ) criteria.
| Articles | Article quality according to AHRQ | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A | B | C | D | E | F | G | H | I | J | K | Points | |
| Blödow A et al. | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 8 |
| Blödow A et al. | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 8 |
| Burston A et al. | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 9 |
| Hannigan et al. | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 8 |
| Limviriyakul S et al. | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 8 |
| Mekki S et al. | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 8 |
| Mezzalira R et al. | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 8 |
| Oliveira LNR et al. | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 9 |
| Rambold HA et al. | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 9 |
| Rubin F et al. | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 9 |
| van Esch BF et al. | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 8 |
A, Source of information; B, Inclusion and exclusion criteria; C, Time period; D, Consecutive patients; E, Masking; F, Quality assurance; G, Explanation of exclusions; H, Control of confounding factors; I, Withdrawal of incomplete data; J, Data integrity; K, Follow-up; 1, Present; 0, Not present or unclear.
Assessed characteristics of selected studies.
| Authors | Year | Study | Patients (M/F) | Age | Altered vHIT | Altered | Disease |
|---|---|---|---|---|---|---|---|
| Blödow A et al. | 2014 | – | 53 (17/36) | 50 | 13 (25%) | 25 (47%) | Ménière and migraine |
| Blödow A et al. | 2015 | R | 69 (30/39) | 58.1 | 30 (44%) | 50 (72%) | Schwannoma |
| Burston A et al. | 2018 | P | 173 (76/97) | 52 | 26 (15%) | 52 (30.1%) | Chronic vestibulopathies |
| Hannigan et al. | 2019 | R | 644 | 57 | 70 (11.5%) | 90 (14.8%) | Ménière |
| Limviriyakul S et al. | 2020 | – | 51 (13/38) | 54.9 | 24 (47.1%) | 39 (76.5%) | Ménière |
| Mekki S et al. | 2020 | CC | 48 (27/21) | 35.5 | 7 (29.1%) | 18 (75%) | Chronic phase of VN |
| Mezzalira R et al. | 2017 | C | 157 (69/88) | 49 | 41 (26.1%) | 113 (71.9%) | Chronic vestibulopathies |
| Oliveira LNR et al. | 2019 | CC | 51 | 45.2 | 5 (12.8%) | 22 (56.4%) | Ménière |
| Rambold HÁ et al. | 2015 | R | 1063 (510/553) | 57 | 190 (17.9%) | 397 (37.4%) | Chronic vestibulopathies |
| Rubin F et al. | 2018 | P | 37 (13/24) | 56 | 0 (0%) | 34 (92%) | Ménière |
| van Esch BF et al. | 2016 | P | 324 (129/195) | 53 | 39 (12%) | 113 (35%35 %) | Chronic vestibulopathies |
M, Male; F, Female; R, Retrospective; P, Prospective; CC, Case-Control; C, Cross-sectional; CT, caloric testing; -, Not informed, VN, Vestibular Neuritis.
Of the 644 patients, 606 underwent both tests.
Of the 51 patients, 39 had symptomatic Ménière disease and were the target of statistical analysis.
Parameters used to perform the vHIT and caloric testing in the analyzed studies.
| Authors | Year | Video Head Impulse Test (vHIT) | Caloric testing | |||
|---|---|---|---|---|---|---|
| Stimulus used | Alteration criterium | Stimulus used | Alteration criterium | |||
| Gain | Saccade | |||||
| Blödow A et al. | 2014 | > 10 head impulses, at 15°–20°, D 150–200 ms, PV 200°/s | Gain < 0.79 | Presence of refixation saccades | Water (30°/44 °C) | LP > 25% |
| Blödow A et al. | 2015 | > 10 head impulses, at 15°–20°, D 150–200 ms, PV 200°/s | Gain < 0.79 e | Presence of refixation saccades (covert or overt) | Water (30°/44 °C) | LP > 25% |
| Burston A et al. | 2018 | > 10 head impulses; PV 150–300°/s | Gain < 0.79 at 80 ms and < 0.75 at 60ms | Presence of refixation saccades (covert or overt) | Water (cold/warm) | LP > 25% |
| Hannigan et al. | 2019 | > 20 head impulses, PV 100–300°/s | Gain < 0.8 | – | Water (30°/44 °C) | LP ≥ 30% |
| Limviriyakul S et al. | 2020 | > 20 head impulses, at 10°–20°, PV 150–200°/s. | Gain < 0.8 | Presence of refixation saccades (covert or overt) | Air (24°/50 °C) | LP > 25% |
| Mekki S et al. | 2020 | Short, passive, and sudden head impulse | Gain < 0.8 and AR > 8% | Presence of refixation saccades (covert or overt) | Water (30°/44 °C) | LP ≥ 20% e DP > 33% |
| Mezzalira R et al. | 2017 | > 20 head impulses, PV 150°/s and MA 1.000–2.500°/s2 | Gain < 0.8 | Presence of refixation saccades (covert or overt) | Water (30°/44 °C) | LP > 20% and ASSC < 5°/s |
| Oliveira LNR et al. | 2019 | > 20 head impulses, PV 100–250°/s, at 15°–20°, MA 1.000–2.500°/s2 | Gain < 0.8 | Presence of saccades after head movement | Air (24°/50 °C) | LP > 19% and ASSC < 5°/s |
| Rambold HÁ et al. | 2015 | > 20 head impulses. at 5°–10°, MA 750–6.000°/s2 | Gain < 0.8 | Presence of refixation saccades (covert or overt) | Water (30°/44 °C) | LP > 25% and DP > 30% |
| Rubin F et al. | 2018 | > 5 head impulses, at 10°–20°, PV > 120°/s | Gain < 0.78 | Presence of refixation saccades | Water (30°/44 °C) | LP > 20% |
| van Esch BF et al. | 2016 | > 20 head impulses, at 10°–20°, D 150–200 ms, PV 150°/s | Gain < 0.8 | Presence of refixation saccades (covert or overt) | Water (30°/44 °C) | LP ≥ 22% and DP ≥ 28% |
A, Amplitude; D, Duration; PV, Peak Velocity; MA, Mean Acceleration; AR, Asymmetry ratio; LP, Labyrinthine predominance; DP, Directional Preponderance; ASSC, angular speed of the slow component; (–) No information.
Figure 2Forest plot of the percentages of the presence of alteration in each test in the analyzed studies: the probability of alteration in the caloric testing is higher than in the vHIT (0.55 × 0.21).
Variables extracted from the five included studies.
| Studies | n | TP | FP | FN | TN | Sensitivity | Specificity | PPV | NPV |
|---|---|---|---|---|---|---|---|---|---|
| Burston A et al. | 173 | 18 | 8 | 34 | 113 | 35% (23%–48%) | 93% (77%–97%) | 69% | 77% |
| Mekki S et al. | 24 | 6 | 1 | 12 | 5 | 33% (16%–56%) | 83% (44%–97%) | 86% | 29% |
| Mezzalira R et al. | 157 | 36 | 5 | 77 | 39 | 32% (24%–41%) | 89% (76%–95%) | 88% | 33% |
| Rambold HA et al. | 1063 | 142 | 49 | 256 | 597 | 36% (31%–41%) | 92% (90%–94%) | 74% | 70% |
| van Esch BF et al. | 324 | 35 | 4 | 78 | 207 | 31% (23%–40%) | 98% (95%–99%) | 90% | 72% |
TP, True Positive; FP, False Positive; FN, False Negative; TN, True Negative; PPV, Positive Predictive Value; NPV, Negative Predictive Value.
Figure 3Forest plot of vHIT sensitivity and specificity in relation to caloric testing.
vHIT efficacy in relation to Caloric Testing.
| vHIT | |
|---|---|
| Sensitivity | 0.3415 (0.3071–0.3776) |
| Specificity | 0.9395 (0.8967–0.9652) |
| Negative Predictive Value | 0.5893 (0.4039–0.7523) |
| Positive Predictive Value | 0.8074 (0.7125–0.8764) |