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Antihistamines for motion sickness

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Abstract

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows:

To assess the effectiveness of antihistamines in the prevention and treatment of motion sickness in adults and children.

Background

Description of the condition

Definition

Motion sickness is a syndrome that occurs as a result of passive body movement in response to actual motion, or the illusion of motion when exposed to virtual and moving visual environments. It generally occurs as a physiological response in a healthy person with an intact vestibular system; however, the presentation may be modulated by various pathologies (Bertolini 2016; Murdin 2015).

Presentation

The presentation can include nausea, vomiting, loss of appetite, gastric awareness, increased sensitivity to odours, headaches (including migraines), dizziness, sweating, pallor, sensations of bodily warmth, increased salivation, bradycardia, arterial hypotension, general malaise, repetitive yawning and sopite syndrome (Bertolini 2016; Golding 2015). Space motion sickness differs from general motion sickness and is characterised by sudden projectile vomiting within minutes of weightlessness (Thornton 2013). Symptoms produced by motion sickness may be severe enough to have a negative impact on cognition and performance (Matsangas 2014).

Epidemiology

Historically, motion sickness was first described in seafarers (Hippocrates). A recent study undertaken on expedition ships to Antarctica has shown that motion sickness was the most common reason for consultation, with 150 out of a total of 680 physician consultations for prophylaxis followed by an additional 142 visits (27%, 4.2 per 1000 person‐days) for treatment (Schutz 2014).

Car sickness can affect most people with varying degrees of severity, under the right circumstances (Wada 2015), and is worse in passengers than drivers (Dong 2011). In one study it occurred in 25.9% of experienced rally co‐drivers, while reading and while seated as rear‐seat passengers (Perrin 2013). It may also prove a significant factor in the use of autonomous cars (Diels 2016), and on tilting trains, but can be influenced by compensation strategies (Förstberg 1998). Space motion sickness affects 50% of astronauts within the first 24 to 72 hours of weightlessness (Thornton 2013). Virtual reality has been shown to induce motion sickness (Nishiike 2013), and an incidence of up to 56% has been demonstrated with the use of video games (Stoffregen 2008). Amongst cinema patrons, 54.8% experienced motion sickness after viewing a 3D movie compared to 14.1% after viewing a 2D movie (Solimini 2013).

Motion sickness is rare in children under the age of two, but increases through childhood with a peak incidence at age nine, followed by a progressive decline through adolescence and adulthood (Henriques 2014). There is a slight preponderance in females (Henriques 2014; Paillard 2013; Perrin 2013).

Ménière’s disease and vestibular migraines are associated with increased motion sensitivity (Sharon 2014). A similar association between patients with vestibular migraines and those with migraines without vestibular symptoms has been shown (Murdin 2015). Benign paroxysmal positional vertigo and vestibular neuritis show no association with motion sickness (Golding 2015). Bilateral vestibular failure has a protective effect against the susceptibility to motion sickness, although this is not seen with unilateral vestibular failure (Murdin 2015).

Aetiology/pathophysiology

The sensory conflict or mismatch theory suggests that conflict arises between one's visual, proprioceptive and vestibular systems when the actual motion experienced differs from the anticipated motion (Reason 1978). Oman 1990 suggested that the difference between all the true sensory input and all the expected sensory information results in the conflict vector. The larger this vector, the greater the likelihood and severity of motion sickness. Bles 1998 further postulated that only vertical input is responsible for motion sickness, suggesting an alternate theory known as the subjective vertical conflict theory, while Holly 1996 expanded this to include all translations. Another hypothesis suggests a link between motion sickness and the time constant of velocity storage (Cohen 2003).

A genetic predisposition showed concordance of 70% in childhood and 50% in adulthood in monozygotic and dizygotic twins (Reavley 2006).

Diagnosis

The Reason and Brand Motion Sickness Susceptibility Questionnaire remains the most widely used tool to assess susceptibility to motion sickness (Golding 1998). Once symptoms have been established, Graybiel’s diagnostic criteria may be used to grade the severity of motion sickness (Graybiel 1968). There is no laboratory test that is pathognomonic of motion sickness. Electrogastrography (Cevette 2014), vestibular evoked myogenic potentials (Tal 2013), vestibulo‐ocular reflexes (Tanguy 2008), caloric testing (Sharon 2014), computerised dynamic posturography (Tal 2010), neurochemical markers (ACTH, epinephrine, norepinephrine) (Kohl 1985), and measurements of autonomic activity (Cowings 1986) have all been used to evaluate and study motion sickness.

Management

Habituation is an effective countermeasure to motion sickness (Cowings 2000). It is influenced by the intensity and frequency of exposure to the stimulus, and it is potentiated by controlled breathing (Yen Pik Sang 2005). While playing video games, passive restraint (Chang 2013) and being in control reduce the onset of motion sickness. Reducing passive head movements and postural instability by viewing the horizon and widening one's stance have been shown to be protective (Stoffregen 2013), although the same is not true for artificial horizons (Tal 2012). Optokinetic training reduced sea sickness in 71.4% of participants compared to 12% in the control group (Ressiot 2013). Stroboscopic illumination may also be protective against motion sickness, possibly by reducing retinal slip (Webb 2013). Other methods such as galvanic vestibular stimulation in synchrony with the visual field (Cevette 2014), acupuncture, acupressure, transcutaneous electrical nerve stimulation (Chu 2012), ginger (Lien 2003), and music (Keshavarz 2014) have all been used to control motion sickness.

Pharmacological therapy for the management of motion sickness primarily involves the use of anticholinergics and antihistamines (Murdin 2011). Scopolamine is the most commonly used anticholinergic, and is effective compared to placebo in the prevention of motion sickness; however, there are insufficient data regarding its treatment of established symptoms. The side effects include dry mouth, blurred vision, dilated pupils and bradycardia (Spinks 2011). Other pharmacological agents include antiemetics (Muth 2007), neuroleptics such as phenytoin (Woodard 1993), µ‐opiate receptor agonists (Otto 2006), sympathomimetics (Weerts 2014a), and various combinations of all of these drugs.

Current approaches to countering space motion sickness include the combination of pre‐training in an altered gravity environment in combination with the use of promethazine (Karmali 2016).

Future measures to control the incidence of motion sickness may involve engineering the expected stimulus to be less provocative.

Description of the intervention

Antihistamines have been used in the management of motion sickness for decades (Brand 1967), alone or in combination with other interventions (Weerts 2014a). H1‐antihistamines are available as over‐the‐counter preparations, as well as by prescription (Simons 2004). For the control of motion sickness, routes of administration and dosages vary depending on the specific drug used (Zajonc 2006).

H1‐antihistamines may be classified according to their functional class (generation), or by their sedative effect. First‐generation H1‐antihistamines are generally sedating, while second and third‐generation antihistamines are non‐sedating. This may be due to the fat soluble nature of first‐generation antihistamines, which allows them to cross the blood–brain barrier, while second and third‐generation antihistamines do not. In addition, first‐generation antihistamines exhibit anticholinergic properties (Mahdy 2014). Wood 1970 suggested this as the reason for their protective effect against motion sickness. Typically, after a single oral dose of an H1‐antihistamine, the onset of action is between two to three hours for first‐generation antihistamines, and one to two hours for second‐generation antihistamines. The duration of action may be up to 24 hours (Simons 2004).

Side effects that limit the use of H1‐antihistamines in certain professions (such as astronauts) include drowsiness, fatigue, dizziness and impairment of cognitive function, memory and psychomotor performance (Weerts 2014b). Other reported adverse effects include dystonia, dyskinesia, agitation, confusion, hallucinations and cardiac toxicity. Additionally, first‐generation antihistamines may produce side effects related to their anticholinergic activity, such as blurred vision, dry mouth, dilated pupils and urinary retention. Second‐generation H1‐antihistamines have been relatively free of adverse effects. However, two early second‐generation antihistamines, astemizole and terfenadine, have been withdrawn due to cardiac toxicity (Simons 2004).

Antihistamines have been compared to scopolamine (Gil 2012; Pingree 1994); however, the comparative effectiveness in the management of motion sickness was found to be inconclusive in a Cochrane review (Spinks 2011).

How the intervention might work

Acetylcholine (ACh) is a vestibular neurotransmitter and has been identified in all vestibular nuclei. Histamine may be a vestibular neurotransmitter or neuromodulator, acting on histamine receptors (H1‐H3 are expressed in the vestibular system), but this remains unclear (Soto 2010). First‐generation antihistamines are ACh and H1 receptor antagonists, thus inhibiting their effects on the vestibular system. Second‐generation antihistamines do not possess any anticholinergic properties but inhibit histaminergic activity only (Mahdy 2014). Cheung 2003 concluded that second‐generation agents are not effective in the management of motion sickness and suggested that the anticholinergic and sedative effects of first‐generation agents may be the reason for their apparent success.

Why it is important to do this review

When motion sickness was first described by Hippocrates in 400 BC, land and sea travel were the main sources of passive motion. Now, for the general population, this includes motor vehicles, trains, buses, cruise liners and other smaller vessels, and passenger aircraft. Additionally, in this age of rapid technological advancement, new sources of motion sickness inducing stimuli have emerged, including virtual reality, 3D visual effects, 4D experiences, video games, driverless cars and commercial space flight. Apart from the daily life and recreational aspects, occupational exposure to motion sickness inducing stimuli has increased over time. This includes but is not limited to paramedics in helicopters and ambulances, military personnel on naval vessels and in the air force, pilots, seafarers, and astronauts during space flight and training.

While habituation is effective and has no side effects, it lacks immediacy. Antihistamines have been the most commonly used pharmacological therapy (Weerts 2014b), however studies reveal conflicting results regarding their efficacy in the management of motion sickness (Buckey 2004; Cheung 2003). This review aims to potentially resolve this conflict and to facilitate advancement of future research in the field of motion sickness.

Objectives

To assess the effectiveness of antihistamines in the prevention and treatment of motion sickness in adults and children.

Methods

Criteria for considering studies for this review

Types of studies

We will include all published and unpublished randomised controlled trials (RCTs), including cluster‐randomised trials. We will exclude cross‐over studies. There will be no time or language limitations on included studies.

Types of participants

Participants will include susceptible adults and children (the age limit to define children will be 18 years and under), of any gender and ethnicity, who have no vestibular, visual or neurological co‐morbidities.

We will include:

  • susceptible participants in whom motion sickness is induced under natural conditions such as air, sea and land transportation.

Susceptibility will be defined as:

  • previous experience of motion sickness; and/or

  • motion sickness susceptibility based on the result of any validated scale.

We will include studies in which motion sickness is induced under experimental conditions but we will analyse data from these studies separately.

Types of interventions

The main intervention will be all antihistamines regardless of:

  • class (first or second‐generation);

  • route of administration; or

  • dosage.

Comparison interventions will include:

  • no treatment;

  • placebo;

  • any other pharmacological interventions (for example: scopolamine, phenytoin, ondansetron, metoclopramide); and

  • any non‐pharmacological interventions (for example: acupuncture, transcutaneous electrical nerve stimulation, habituation techniques).

The main comparison will be:

  • antihistamine versus no treatment or placebo.

Other possible comparison pairs include:

  • antihistamine versus scopolamine;

  • antihistamine versus antiemetics;

  • antihistamine versus neuroleptics;

  • antihistamine versus µ‐opiate receptor agonists;

  • antihistamine versus sympathomimetics;

  • antihistamine versus acupuncture;

  • antihistamine versus acupressure;

  • antihistamine versus autogenic feedback training exercises;

  • antihistamine versus transcutaneous electrical nerve stimulation.

Concurrent use of other medication will be acceptable if used equally in each group.

Types of outcome measures

We will analyse the following outcomes in the review, but we will not use them as a basis for including or excluding studies.

Primary outcomes

  • Proportion of susceptible participants who did not experience any motion sickness symptoms (based on subjective reporting of nausea and/or vomiting or the use of a validated scale).

  • Proportion of susceptible participants who experienced a reduction or resolution of existing motion sickness symptoms (based on subjective reporting of nausea and/or vomiting or the use of a validated scale).

Secondary outcomes

  • Physiological measures: heart rate, core temperature and electrogastrography.

  • Adverse effects (type, duration and severity): sedation, impaired cognitive function, blurred vision.

We will evaluate outcomes after administration of the antihistamine as short‐term (less than or equal to 24 hours) and long‐term (over 24 hours).

Search methods for identification of studies

The Cochrane ENT Information Specialist will conduct systematic searches for randomised controlled trials and controlled clinical trials. There will be no language, publication year or publication status restrictions. We may contact original authors for clarification and further data if trial reports are unclear and we will arrange translations of papers where necessary.

Electronic searches

Published, unpublished and ongoing studies will be identified by searching the following databases from their inception:

  • the Cochrane Register of Studies ENT Trials Register (search to date);

  • Cochrane Register of Studies Online (search to date);

  • Ovid MEDLINE (1946 to date):

    • Ovid MEDLINE (In‐Process & Other Non‐Indexed Citations);

    • PubMed (as a top up to searches in Ovid MEDLINE);

  • Ovid EMBASE (1974 to date);

  • EBSCO CINAHL (1982 to date);

  • Ovid CAB abstracts (1910 to date);

  • LILACS (search to date);

  • KoreaMed (search to date);

  • IndMed (search to date);

  • PakMediNet (search to date);

  • Web of Knowledge, Web of Science (1945 to date);

  • ClinicalTrials.gov, www.clinicaltrials.gov (search via the Cochrane Register of Studies to date);

  • World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) (search to date);

  • ISRCTN, www.isrctn.com (search to date);

  • Google Scholar (search to date);

  • Google (search to date).

The subject strategies for databases will be modelled on the search strategy designed for CENTRAL (Appendix 1). Where appropriate, these will be combined with subject strategy adaptations of the highly sensitive search strategy designed by Cochrane for identifying randomised controlled trials and controlled clinical trials (as described in theCochrane Handbook for Systematic Reviews of Interventions Version 5.1.0, Box 6.4.b. (Higgins 2011)).

Searching other resources

We will scan the reference lists of identified publications for additional trials and contact trial authors if necessary. In addition, the Information Specialist will search Ovid MEDLINE, theCochrane Library and Google to retrieve existing systematic reviews relevant to this systematic review, so that we can scan their reference lists for additional trials.

Data collection and analysis

Selection of studies

Two review authors (NK and YS) will independently sift through the initial search results and identify studies that appear to meet our inclusion criteria. We will then obtain full‐text articles for the studies on this preliminary list. We will independently examine these studies and select those that meet our inclusion criteria. If there are any discrepancies, we will resolve this by reviewing the original study. We will consult the third review author (NM) where necessary.

Data extraction and management

Two review authors (NK and YS) will independently extract data using standardised forms. If there are any missing or incomplete data, we will contact the study author. If there are any discrepancies, we will consult the third review author (NM).

We will extract the following:

  • Study design features (double‐/single‐/non‐blinded; cluster/parallel‐group)

  • Setting

  • Sample size

  • Participant (baseline) characteristics (age, gender, susceptibility to motion sickness and how this was assessed, co‐morbidities)

  • Inclusion criteria

  • Exclusion criteria

  • Method of induction of motion sickness

  • Duration of motion

  • Type of antihistamine used (name, class, route, dosage)

  • Comparison intervention

  • Outcomes

  • Funding sources

  • Study author declarations of interest

See Appendix 2.

Assessment of risk of bias in included studies

NK and YS will independently assess the risk of bias of the included studies. This will be determined using Cochrane's tool for assessing the risk of bias as outlined in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011).

We will consider the following domains and assign a judgement based on the following criteria:

Random sequence generation

  • Low risk: Study authors describe a random component in the sequence generation process such as referring to a random number table, using a computerised random number generation, coin tossing, shuffling cards or envelopes, throwing dice or drawing of lots.

  • High risk: Study authors describe a non‐random component in the sequence generation process (such as allocation based on geographic location, hospital number, date of birth).

  • Unclear risk: Study authors have not specified the sequence generation process.

Concealment of allocation prior to assignment

  • Low risk: Participants and/or investigators could not foresee drug allocation due to concealed allocation (such as the use of central allocation, or sequentially numbered, opaque envelopes or drug containers).

  • High risk: Participants and/or investigators could foresee drug allocation due to an inadequate concealment process.

  • Unclear risk: Insufficient information is given on the allocation concealment process.

Blinding of provider, participant and outcome assessor

  • Low risk: Blinding of treatment provider, participant or outcome assessor undertaken.

  • High risk: Blinding not undertaken.

  • Unclear risk: Study does not state whether blinding was undertaken or not.

Incomplete outcome data

  • Low risk: No incomplete outcome information, or the reason for incomplete outcome data is unrelated to the study's outcomes (for example: a participant dropped out of the study due to relocating to a new geographic location).

  • High risk: Incompleteness of outcome data is related to the study's outcomes (for example: a participant dropped out of the study due to severe nausea).

  • Unclear risk: Reason for missing data unspecified.

Selective outcome reporting

  • Low risk: The study protocol is available and all of the study's pre‐specified outcomes have been reported in the pre‐specified manner.

  • High risk: Not all the primary outcomes have been reported, or one or more of the primary outcomes were reported using methods of analysis that were not pre‐specified, or one or more of the primary outcomes were not pre‐specified, or one or more of the primary outcomes were reported incompletely.

  • Unclear risk: Insufficient information available to assign a judgement.

Other bias

  • Low risk: Study appears free of other sources of bias.

  • High risk: Other source of bias noted by review authors.

We will classify studies that have been categorised as high risk on the basis of random sequence generation and/or concealment of allocation of treatment and/or incomplete outcome data as having a high overall risk of bias. We will not consider studies that have been categorised as high risk in one or more of the other domains to have a high overall risk of bias.

We will include a description of the risk of bias of our included studies in our Discussion.

Measures of treatment effect

For dichotomous data, we will calculate individual and pooled statistics as risk ratios (RR) with 95% confidence intervals (95% CI). We will assess continuous data (for example, heart rate) using the mean difference (MD) for outcomes measured on the same scale and/or the standardised mean difference (SMD) for outcomes measured on different scales. We will use a change from baseline for this analysis. We will complete an intention‐to‐treat analysis, assuming that the relevant data are available in the included studies.

Unit of analysis issues

For multi‐arm studies, we will establish which comparisons are relevant to this review and include data from the respective arms. We will not include cross‐over studies.

Dealing with missing data

If we identify missing data, we will attempt to contact the trial author by email. If we are unable to contact the author and/or if the author is unable to provide the relevant information, we will assume the missing data to be 'missing at random' and we will conduct the data analysis using only the available data.

Assessment of heterogeneity

We will assess clinical, methodological and statistical heterogeneity. We will measure statistical heterogeneity using the Chi² test and the I² statistic. For the latter, according to the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011), a value of > 50% suggests substantial heterogeneity.

Assessment of reporting biases

We will address publication bias (between‐study reporting bias) by searching for published, unpublished and ongoing trials in the specified trial databases. We will ensure data from all the available outcomes across all papers are recorded, taking care not to duplicate results. Where potentially eligible but unpublished trials are identified, we will contact the authors to acquire the full study results and/or to find out the reasons why these results have not been published. For ongoing trials, we will include results available until the date of publication of this review. We will address language bias by including studies in any language and we will obtain an English translation where possible. We will address outcome (within‐study) reporting bias by ensuring results are presented as indicated in the protocol, which will have been published beforehand. We will assess between‐study reporting bias as outlined in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011).

Data synthesis

If data are comparable, we will combine data to give a summary measure of effect using the methods set out in Measures of treatment effect. If data are missing, we will use the available data to perform a meta‐analysis using Review Manger 5.3 (RevMan 2014), in the absence of significant clinical or statistical heterogeneity. We will test for heterogeneity using the I2 statistic and we will assume significant heterogeneity if the I2 is greater than 50% (i.e. more than 50% of the variability in outcome between trials could not be explained by sampling variation) (Higgins 2011). We will use a fixed‐effect model in the absence of statistical heterogeneity and a random‐effects model if heterogeneity is present. For key outcomes presented in the 'Summary of findings' table, we will also convey the pooled results as absolute numbers (as number needed to treat).

Subgroup analysis and investigation of heterogeneity

If there are sufficient studies available we will conduct the following subgroup analyses in RevMan, using the formal test for subgroup differences (RevMan 2014):

  • age (adults versus children); and

  • motion sickness that has been induced under experimental conditions versus natural conditions (such as air, sea and land transportation).

Adults and children may report symptoms differently and antihistamines may have differing effects on each group (for example, children may be more susceptible to the side effects of antihistamines). The subjective experience of motion sickness symptoms may differ when motion sickness is induced under experimental conditions compared to naturally occurring conditions.

Therefore these subgroups have been selected as variability in these conditions may affect the outcome.

Sensitivity analysis

Two review authors (NK and YS) will independently conduct a sensitivity analysis by identifying studies with a high risk of bias using the Cochrane 'Risk of bias' tool and excluding these studies from the analysis.

GRADE and 'Summary of findings' table

We will use the GRADE approach to rate the overall quality of evidence. The quality of evidence reflects the extent to which we are confident that an estimate of effect is correct and we will apply this in the interpretation of results. There are four possible ratings: high, moderate, low and very low. A rating of high quality of evidence implies that we are confident in our estimate of effect and that further research is very unlikely to change our confidence in the estimate of effect. A rating of very low quality implies that any estimate of effect obtained is very uncertain.

The GRADE approach rates evidence from RCTs that do not have serious limitations as high quality. However, several factors can lead to the downgrading of the evidence to moderate, low or very low. The degree of downgrading is determined by the seriousness of these factors:

  • study limitations (risk of bias);

  • inconsistency;

  • indirectness of evidence;

  • imprecision; and

  • publication bias.

We will include a 'Summary of findings' table for the comparison antihistamine versus placebo (Appendix 3), constructed according to the recommendations described in Chapter 11 of the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011).

The 'Summary of findings' table will include the following primary outcomes:

  • proportion of susceptible participants who did not experience any motion sickness symptoms; and

  • proportion of susceptible participants who experienced a reduction or resolution of existing motion sickness symptoms.

It will also include the following secondary outcomes:

  • physiological measures; and

  • adverse effects.