Predicting vasovagal reactions to needles with anticipatory facial temperature profiles
Abstract Around one-third of adults are scared of needles, which can result in adverse emotional and physical responses such as dizziness and fainting (e.g. vasovagal reactions; VVR) and consequently, avoidance of healthcare, treatments, and immunizations. Unfortunately, most people are not aware of...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-06-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-36207-z |
| _version_ | 1827923073072889856 |
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| author | Judita Rudokaite L. L. Sharon Ong Itir Onal Ertugrul Mart P. Janssen Elisabeth M. J. Huis in ‘t Veld |
| author_facet | Judita Rudokaite L. L. Sharon Ong Itir Onal Ertugrul Mart P. Janssen Elisabeth M. J. Huis in ‘t Veld |
| author_sort | Judita Rudokaite |
| collection | DOAJ |
| description | Abstract Around one-third of adults are scared of needles, which can result in adverse emotional and physical responses such as dizziness and fainting (e.g. vasovagal reactions; VVR) and consequently, avoidance of healthcare, treatments, and immunizations. Unfortunately, most people are not aware of vasovagal reactions until they escalate, at which time it is too late to intervene. This study aims to investigate whether facial temperature profiles measured in the waiting room, prior to a blood donation, can be used to classify who will and will not experience VVR during the donation. Average temperature profiles from six facial regions were extracted from pre-donation recordings of 193 blood donors, and machine learning was used to classify whether a donor would experience low or high levels of VVR during the donation. An XGBoost classifier was able to classify vasovagal groups from an adverse reaction during a blood donation based on this early facial temperature data, with a sensitivity of 0.87, specificity of 0.84, F1 score of 0.86, and PR-AUC of 0.93. Temperature fluctuations in the area under the nose, chin and forehead have the highest predictive value. This study is the first to demonstrate that it is possible to classify vasovagal responses during a blood donation using temperature profiles. |
| first_indexed | 2024-03-13T04:51:26Z |
| format | Article |
| id | doaj.art-5d18d11b4a214c0d88cae42c02962aba |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-13T04:51:26Z |
| publishDate | 2023-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-5d18d11b4a214c0d88cae42c02962aba2023-06-18T11:11:40ZengNature PortfolioScientific Reports2045-23222023-06-011311910.1038/s41598-023-36207-zPredicting vasovagal reactions to needles with anticipatory facial temperature profilesJudita Rudokaite0L. L. Sharon Ong1Itir Onal Ertugrul2Mart P. Janssen3Elisabeth M. J. Huis in ‘t Veld4Department of Cognitive Science and Artificial Intelligence, Tilburg UniversityDepartment of Cognitive Science and Artificial Intelligence, Tilburg UniversityDepartment of Information and Computing Sciences, Utrecht UniversityDonor Medicine Research, Sanquin ResearchDepartment of Cognitive Science and Artificial Intelligence, Tilburg UniversityAbstract Around one-third of adults are scared of needles, which can result in adverse emotional and physical responses such as dizziness and fainting (e.g. vasovagal reactions; VVR) and consequently, avoidance of healthcare, treatments, and immunizations. Unfortunately, most people are not aware of vasovagal reactions until they escalate, at which time it is too late to intervene. This study aims to investigate whether facial temperature profiles measured in the waiting room, prior to a blood donation, can be used to classify who will and will not experience VVR during the donation. Average temperature profiles from six facial regions were extracted from pre-donation recordings of 193 blood donors, and machine learning was used to classify whether a donor would experience low or high levels of VVR during the donation. An XGBoost classifier was able to classify vasovagal groups from an adverse reaction during a blood donation based on this early facial temperature data, with a sensitivity of 0.87, specificity of 0.84, F1 score of 0.86, and PR-AUC of 0.93. Temperature fluctuations in the area under the nose, chin and forehead have the highest predictive value. This study is the first to demonstrate that it is possible to classify vasovagal responses during a blood donation using temperature profiles.https://doi.org/10.1038/s41598-023-36207-z |
| spellingShingle | Judita Rudokaite L. L. Sharon Ong Itir Onal Ertugrul Mart P. Janssen Elisabeth M. J. Huis in ‘t Veld Predicting vasovagal reactions to needles with anticipatory facial temperature profiles Scientific Reports |
| title | Predicting vasovagal reactions to needles with anticipatory facial temperature profiles |
| title_full | Predicting vasovagal reactions to needles with anticipatory facial temperature profiles |
| title_fullStr | Predicting vasovagal reactions to needles with anticipatory facial temperature profiles |
| title_full_unstemmed | Predicting vasovagal reactions to needles with anticipatory facial temperature profiles |
| title_short | Predicting vasovagal reactions to needles with anticipatory facial temperature profiles |
| title_sort | predicting vasovagal reactions to needles with anticipatory facial temperature profiles |
| url | https://doi.org/10.1038/s41598-023-36207-z |
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