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Prevention of Blood Donation-related Vasovagal Response by Applied Muscle Tension: a Meta-analysis

OBJECTIVE: Vasovagal reaction (VVR) is an adverse reaction to blood donation. Applied muscle tension (AMT) has been reported to reduce the probability of VVR during blood donation; however, the results have been controversial. We therefore conducted a meta-analysis to systematically evaluate the eff...

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Detalles Bibliográficos
Autores principales: Wang, Cong, Chen, Li, Sun, Chenyu, Zhang, Yan, Cao, Can, Ma, Yuanyuan, Shi, Wenwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500294/
https://www.ncbi.nlm.nih.gov/pubmed/36127814
http://dx.doi.org/10.1177/03000605221121958
Descripción
Sumario:OBJECTIVE: Vasovagal reaction (VVR) is an adverse reaction to blood donation. Applied muscle tension (AMT) has been reported to reduce the probability of VVR during blood donation; however, the results have been controversial. We therefore conducted a meta-analysis to systematically evaluate the effect of AMT in reducing VVR. METHODS: We searched six major databases using “applied muscle tension” and “blood donation-related vasovagal response” as keywords. Relevant articles published in English or Chinese between 1 January 2000 and 30 June 2021 were included in the analysis. The quality of the included articles was evaluated and publication bias was assessed by forest and funnel plots and by Egger's test. RESULTS: Fifty-one articles were identified, of which six were included according to the pre-defined inclusion and exclusion criteria. A fixed-effects model was adopted for effect size combination and revealed a relative risk of 0.52 (95% confidence interval 0.40 to 0.67). The AMT group was superior to the control in terms of VVR prevention. A funnel plot and Egger's test suggested that the findings were accurate and reliable with low publication bias. CONCLUSION: AMT could effectively reduce VVR during blood donation. Further multicenter studies with large sample sizes are needed to confirm these results.