The Effect of Oral Antihistamines on the Sweating Response During Heat Stress in Adults
Notice bibliographique
Résumé
The World Allergy Organization confirms the prevalence of allergic rhinitis (AR) has increased worldwide due to climate change—inflicting 1 in 5 people globally [1]. Global warming and elevations in atmospheric carbon dioxide have caused an earlier onset, prolonged duration, increased intensity, and have amplified allergenicity during the pollen season [1]. Public health guidance heeds certain medications during hot weather, informing general practitioners to be aware of the potential side effects and adjust dosage as needed [2]. Of particular concern are drugs with anticholinergic effects, which may blunt the sweating response. These medications, which include antihistamines, continue to be identified as a risk factor for heat-related illness [3]. A recent systematic review concluded that limited evidence (n = 1) exists to confirm or refute whether antihistamines impair thermoregulation during heat stress [4]. The only evidence examined fexofenadine, which, unlike other antihistamines, does not bind to M3 muscarinic receptors [5] – the primary receptor stimulating sweat secretion from eccrine sweat glands. Determining if other over-the-counter antihistamines, an accessible and common treatment for AR, impair sweating is important as pollen season coincides with the hottest period of the year. Using a randomized double-blind crossover design, we investigated whether oral antihistamines across generations and different muscarinic affinity [5] impair thermoregulatory sweating in adults during heat stress. Following approval from Health Canada (AH-PHS-2023) and Thunder Bay Regional Health Sciences Centre Research Ethics Board (#100241), and ClinicalTrials.gov registration (NCT06217367), healthy adults aged 18–49 years were recruited from Thunder Bay, Ontario, Canada, between January and June 2024, with follow-up completed July 2024. The study follows CONSORT reporting guidelines. With ≥ 48 h between trials and the order determined a priori, participants consumed recommended doses of either (i) diphenhydramine (50 mg, first generation, high muscarinic affinity); (ii) loratadine (10 mg, second generation, low muscarinic affinity); (iii) desloratadine (5 mg, third generation, high muscarinic affinity); or (iv) a placebo (sugar) pill before resting for ~2 h at 25°C/50%RH. Following this, participants were instrumented and passively heated by perfusing 50°C water through a tube-lined garment until mean body temperature (Tb) increased 1.5°C above baseline. Tb was estimated in real-time as a weighted average of esophageal (80%) and mean skin temperature (4-site weighted average, 20%) measured using a thermistor probe and t-type thermocouple wires, respectively. Primary outcomes measured at baseline and after every 0.25°C rise in Tb include forearm local sweat rate, heart rate, skin blood flow, and brachial blood pressure, while whole-body sweat rate (in g/h) was calculated as the change in nude body mass divided by heating time. Data S1 provides detailed methods and statistical approach. Of 26 participants recruited, only 10 were eligible (5 females, 23 ± 2 y, 73.6 ± 10.8 kg, no known/diagnosed allergies) and completed all 4 conditions after providing written and verbal consent. Heating duration was not different between conditions (Table 1). No significant differences were observed for sweating onset, thermosensitivity, and whole-body sweat rate (Table 1). No main effect of drug was observed for forearm sweat rate, heart rate, skin blood flow, and mean blood pressure (Figure 1). Data S2 contains all individual data. Neither antihistamine dose altered the sweating response to heat stress compared to placebo, suggesting the absence of, or insufficient, binding to M3 muscarinic receptors. These findings extend the recent systematic review [4] and corroborate the absence of sweating impairments during exercise following oral diphenhydramine consumption [6] supporting their safe use within the manufacturers recommended dose prior to heat stress. Limitations include healthy adults and a small sample size. Future work should evaluate antihistamine use during heat stress in individuals diagnosed with an allergy and/or experiencing allergic reactions, other administration means (e.g., topical), higher doses, and/or vulnerable populations who may have attenuated sweating responses (e.g., elderly, comorbid). Nicholas Ravanelli had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Concept and design: Douglas Newhouse and Nicholas Ravanelli. Acquisition, analysis, or interpretation of data: All authors. Drafting of the manuscript: Douglas Newhouse and Nicholas Ravanelli. Critical revision of the manuscript for important intellectual content: All authors. Statistical analysis: Douglas Newhouse and Nicholas Ravanelli. Obtained funding: Nicholas Ravanelli. Administrative, technical, or material support: Nicholas Ravanelli. Study supervision: All authors. The authors declare no conflicts of interest. The data that supports the findings of this study are available in the Supporting Information of this article. Data S1. Data S2. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».