Exploring Facial Thermography Patterns in Women with Chronic Migraine
Abstract
1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Malta, D.C.; Bernal, R.T.I.; Lima, M.G.; Araújo, S.S.C.; Silva, M.M.A.; Freitas, M.I.F.; Barros, M.B.A. Noncommunicable diseases and the use of health services: Analysis of the National Health Survey in Brazil. Rev. Saúde Pública 2017, 51, 4s. [Google Scholar] [CrossRef]
- HIS. Headache Classification Committee of the International Headache Society. The International Classification of Headache Disorders, 3rd edition. Cephalalgia Int. J. Headache 2018, 38, 1–211. [Google Scholar] [CrossRef] [PubMed]
- Ashina, M.; Katsarava, Z.; Do, T.P.; Buse, D.C.; Pozo-Rosich, P.; Özge, A.; Krymchantowski, A.; Lebedeva, E.R.; Ravishankar, K.; Yu, S.; et al. Migraine: Epidemiology and systems of care. Lancet 2021, 397, 1485–1495. [Google Scholar] [CrossRef] [PubMed]
- Vos, T.; Lim, S.S.; Abbafati, C.; Abbas, K.M.; Abbasi, M.; Abbasifard, M.; Abbasi-Kangevari, M.; Abbastabar, H.; Abd-Allah, F.; Abdelalim, A.; et al. Global Burden of 369 Diseases and Injuries in 204 Countries and Territories, 1990–2019: A Systematic Analysis for the Global Burden of Disease Study 2019. Lancet 2020, 396, 1204–1222. [Google Scholar] [CrossRef]
- Khan, S.; Amin, F.S.; Christensen, C.E.; Ghanizada, H.; Younis, S.; Olinger, A.C.R.; Koning, P.J.H.; Larsson, H.B.W.; Ashina, M. Meningeal contribution to migraine pain: A magnetic resonance angiography study. Brain 2019, 142, 93–102. [Google Scholar] [CrossRef] [PubMed]
- Vicente, B.N.; Oliveira, R.; Martins, I.P.; Gil-Gouveia, R. Cranial Autonomic Symptoms and Neck Pain in Differential Diagnosis of Migraine. Diagnostics 2023, 13, 590. [Google Scholar] [CrossRef] [PubMed]
- Buse, D.C.; Greisman, J.D.; Baigi, K.; Lipton, R.B. Migraine progression: A systematic review. Headache 2019, 59, 306–338. [Google Scholar] [CrossRef] [PubMed]
- Karsan, N.; Goadsby, P.J. Migraine Is More Than Just Headache: Is the Link to Chronic Fatigue and Mood Disorders Simply Due to Shared Biological Systems? Front. Hum. Neurosci. 2021, 15, 646692. [Google Scholar] [CrossRef]
- Togha, M.; Jafari, E.; Moosavian, A.; Farbod, A.; Ariyanfar, S.; Farham, F. Sintomas autonômicos cranianos em enxaqueca episódica e crônica: Um estudo transversal no Irã. BMC Neurol. 2021, 21, 493. [Google Scholar]
- Goadsby, P.J.; Holland, P.R.; Martins-Oliveira, M.; Hoffmann, J.; Schankin, C.; Akerman, S. Pathophysiology of migraine: A disorder of sensory processing. Physiol. Rev. 2017, 97, 553–622. [Google Scholar] [CrossRef]
- Do, T.P.; Hougaard, A.; Dussor, G.; Brennan, K.C.; Amin, F.M. Migraine attacks are of peripheral origin: The debate goes on. J. Headache Pain 2023, 24, 3. [Google Scholar] [CrossRef] [PubMed]
- Vincent, M.B. Fisiopatologia da enxaqueca. Arq. Neuro-Psiquiatr. 1998, 56, 841–851. [Google Scholar] [CrossRef] [PubMed]
- Waschek, J.A.; Baca, S.M.; Akerman, S. PACAP and migraine headache: Immunomodulation of neural circuits in autonomic ganglia and brain parenchyma. J. Headache Pain 2018, 19, 23. [Google Scholar] [CrossRef] [PubMed]
- Fraser, C.L.; Hepschke, J.L.; Jenkins, B.; Prasad, S. Migraine aura: Pathophysiology, mimics, and treatment options. Semin. Neurol. 2019, 39, 739–748. [Google Scholar] [CrossRef] [PubMed]
- Blum, A.S.S.; Riggins, N.Y.; Hersey, D.P.; Atwood, G.S.; Littenberg, B. Left-vs right-sided migraine: A scoping review. J. Neurol. 2023, 270, 2938–2949. [Google Scholar] [CrossRef] [PubMed]
- Dalla Volta, G.; Marceglia, S.; Zavarise, P.; Antonaci, F. Cathodal tDCS guided by thermography as adjunctive therapy in chronic migraine patients: A sham-controlled pilot study. Front. Neurol. 2020, 11, 121. [Google Scholar] [CrossRef]
- Antonaci, F.; Rossi, E.; Voiticovschi-Iosob, C.; Dalla Volta, G.; Marceglia, S. Frontal infrared thermography in healthy individuals and chronic migraine patients: Reliability of the method. Cephalalgia 2019, 39, 489–496. [Google Scholar] [CrossRef] [PubMed]
- Dalla Volta, G.; Griffini, S.; Pezzini, A. Influence of sumatriptan on the autonomic system during migraine attacks. J. Headache Pain 2006, 7, 116. [Google Scholar] [CrossRef][Green Version]
- Rosier, E.M.; Iadarola, M.J.; Coghill, R.C. Reproducibility of pain measurement and pain perception. Pain 2002, 98, 205–216. [Google Scholar] [CrossRef]
- Castro, A.S.; Gazzola, J.M.; Natour, J.; Ganança, F.F. Versão brasileira do dizziness handicap inventory. Pro-Fono 2007, 19, 97–104. [Google Scholar] [CrossRef]
- Karapolat, H.; Eyigor, S.; Kirazlı, Y.; Celebisoy, N.; Bilgen, C.; Kirazlı, T. Reliability, validity and sensitivity to change of Turkish Dizziness Handicap Inventory (DHI) in patients with unilateral peripheral vestibular disease. J. Int. Adv. Otol. 2009, 5, 237–245. [Google Scholar]
- Ito, L.M.; Ramos, R.T. Escalas de avaliação clínica: Transtorno de pânico. Rev. Psychiatr. Clin. 1998, 25, 294–302. [Google Scholar]
- Shear, M.K.; Frank, E.; Rucci, P.; Fagiolini, D.A.; Grochocinski, V.J.; Houck, P.; Cassano, G.B.; Kupfer, D.J.; Endicott, J.; Maser, J.D.; et al. Panic-agoraphobic spectrum: Reliability and validity of assessment instruments. J. Psychiatr. Res. 2001, 35, 59–66. [Google Scholar] [CrossRef] [PubMed]
- Kluthcovsky, A.C.G.; Kluthcovsky, F.A. O WHOQOL-bref, um instrumento para avaliar qualidade de vida: Uma revisão sistemática. Rev. Psiquiatr. Rio Gd. Sul 2009, 31, a07s1. [Google Scholar] [CrossRef]
- Schwartz, R.G.; Getson, P.; O’Young, B.; Campbell, J.S. Guidelines for dental-oral and systemic health infrared thermography. Pan Am. J. Med. Thermol. 2015, 2, 44–53. [Google Scholar] [CrossRef]
- Haddad, D.S.; Brioschi, M.L.; Baladi, M.G.; Arita, E.S. A new evaluation of heat distribution on facial skin surface by infrared thermography. Dentomaxillofac. Radiol. 2016, 45, 20150264. [Google Scholar] [CrossRef]
- Zaproudina, N.; Teplov, V.; Nippolainen, E.; Lipponen, J.A.; Kamshilin, A.A.; Närhi, M.; Karjalainn, P.A.; Giniatullin, R. Asynchronicity of facial blood perfusion in migraine. PLoS ONE 2013, 8, e80189. [Google Scholar] [CrossRef][Green Version]
- Terwee, C.B.; Bot, S.D.; Boer, M.R.; van der Windt, D.A.W.M.; Knol, D.L.; Dekker, J.; Bouter, L.M.; Vet, H.C.W. Quality criteria were proposed for the measurement properties of health status questionnaires. J. Clin. Epidemiol. 2007, 60, 34–42. [Google Scholar] [CrossRef]
- Swerdlow, B.; Dieter, J.N. The vascular ‘cold patch’ is not a prognostic index for headache. Headache 1989, 29, 562–568. [Google Scholar] [CrossRef]
- Drummond, P.D.; Lance, J.W. Thermographic changes in cluster headache. Neurology 1984, 34, 1292–1298. [Google Scholar] [CrossRef]
- Shevel, E. The extracranial vascular theory of migraine—A great story confirmed by the facts. Headache 2011, 51, 409–417. [Google Scholar] [CrossRef] [PubMed]
- Drake, R.; Vogl, A.W.; Mitchell, A.W. Dorland’s/Gray’s Pocket Atlas of Anatomy E-Book; Elsevier Health Sciences: Amsterdam, The Netherlands, 2008. [Google Scholar]
- Jensen, K. Extracranial blood flow, pain and tenderness in migraine. Clinical and experimental studies. Acta Neurol. Scand. 1993, 147, 1–27. [Google Scholar]
- Ford, R.G.; Ford, K.T. Thermography in the diagnosis of headache. Semin. Neurol. 1997, 17, 343–349. [Google Scholar] [CrossRef] [PubMed]
- Dalla Volta, G.; Anzola, G.P.; Dimonda, V. The disappearance of the “cold patch” in recovered migraine patients: Thermographic findings. Headache 1991, 31, 305–309. [Google Scholar] [CrossRef] [PubMed]
- Iversen, H.K.; Nielsen, T.H.; Olesen, J.; Tfelt-Hansen, P. Arterial responses during migraine headache. Lancet 1990, 336, 837–839. [Google Scholar] [CrossRef] [PubMed]
- Amin, F.M.; Asghar, M.S.; Hougaard, A.; Hansen, A.E.; Larsen, V.A.; de Koning, P.J.; Larsson, H.B.; Olesen, J.; Ashina, M. Magnetic resonance angiography of intracranial and extracranial arteries in patients with spontaneous migraine without aura: A cross-sectional study. Lancet Neurol. 2013, 12, 454–461. [Google Scholar] [CrossRef] [PubMed]
- Marcelino, M.T.M.C. Revisão Atualizada da Enxaqueca e do Seu Tratamento. Master’s Thesis, Universidade Beira Interior, Covilhã, Portugal, 2022. [Google Scholar]
- Miyaji, A.; Hayashi, S.; Hayashi, N. Diferenças regionais nas respostas do fluxo sanguíneo da pele facial à estimulação térmica. Eur. J. Appl. Physiol. 2019, 119, 1195–1201. [Google Scholar] [CrossRef] [PubMed]
- Kashima, H.; Ikemura, T.; Hayashi, N. Regional differences in facial skin blood flow responses to the cold pressor and static handgrip tests. Eur. J. Appl. Physiol. 2019, 113, 1035–1041. [Google Scholar] [CrossRef]
- Zaproudina, N.; Lipponen, J.A.; Karjalainen, P.A.; Kamshilin, A.A.; Giniatullin, R.; Närhi, M. Acral coldness in migraineurs. Auton. Neurosci. 2014, 180, 70–73. [Google Scholar] [CrossRef]
- Drummond, P.D.; Lance, J.W. Extracranial vascular changes and the source of pain in migraine headache. Ann. Neurol. 1983, 13, 32–37. [Google Scholar] [CrossRef]
- Lin, P.H.; Echeverria, A.; Poi, M.J. Infrared thermography in the diagnosis and management of vasculitis. J. Vasc. Surg. Cases Innov. Tech. 2017, 14, 112–114. [Google Scholar] [CrossRef] [PubMed][Green Version]
Parameter | Measurement Method | Mean (±SD) |
---|---|---|
Pain Intensity | Visual Analog Scale (VAS, 0–10) | 6.7 ± 1.7 |
Total Pain Index | McGill Pain Questionnaire (0–100) | 60.6 ± 14.7 |
Nausea and Vomiting | Dizziness Handicap Inventory (DHI) | 34 (0–100) |
Panic Disorder and Agoraphobia | Panic and Agoraphobia Scale (0–52) | 4 (0–52) |
Quality of Life—Physical Domain | WHOQOL (0–100, higher = better QoL) | 53.3 ± 17.8 |
Quality of Life—Psychological Domain | WHOQOL (0–100, higher = better QoL) | 58.9 ± 18.7 |
Mean | SD | |
---|---|---|
VAS RIGHT | 6.10 | 2.42 |
VAS LEFT | 7.25 | 0.50 |
VAS BILATERAL | 7.10 | 0.74 |
PAS RIGTH | 8.90 | 8.52 |
PAS LEFT | 5.25 | 6.70 |
PAS BILATERAL | 9.20 | 13.39 |
DHI RIGHT | 44.40 | 21.49 |
DHI LEFT | 25.00 | 33.37 |
DHI BILATERAL | 26.80 | 25.05 |
WHOQOL RIGHT | 12.98 | 3.79 |
WHOQOL LEFT | 13.76 | 3.09 |
WHOQOL BILATERAL | 13.93 | 2.54 |
R 1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | R11 | R12 | R13 | R14 | R15 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mean | 34.55 | 34.41 | 33.68 | 33.41 | 33.66 | 34.04 | 33.98 | 33.70 | 29.50 | 33.07 | 33.41 | 34.31 | 34.35 | 33.85 | 33.83 |
SD | 1.01 | 0.85 | 1.06 | 0.90 | 0.77 | 0.64 | 0.61 | 0.72 | 1.63 | 0.74 | 0.95 | 0.63 | 0.88 | 0.94 | 0.88 |
Minimum | 32.64 | 33.19 | 31.90 | 31.87 | 32.56 | 32.68 | 32.91 | 32.42 | 28.06 | 32.12 | 32.22 | 33.56 | 33.13 | 32.72 | 32.71 |
Maximum | 35.94 | 35.67 | 35.21 | 34.69 | 34.89 | 35.02 | 34.88 | 34.71 | 32.95 | 34.38 | 35.03 | 35.37 | 35.84 | 35.22 | 34.94 |
R 1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | R11 | R12 | R13 | R14 | R15 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mean | 34.56 | 34.89 | 33.53 | 33.26 | 33.61 | 33.41 | 33.39 | 33.30 | 31.45 | 33.76 | 33.66 | 34.52 | 34.52 | 33.96 | 34.01 |
SD | 0.88 | 0.81 | 1.10 | 0.90 | 0.29 | 0.30 | 0.32 | 0.76 | 2.69 | 0.80 | 1.33 | 0.75 | 0.67 | 1.092 | 1.02 |
Minimum | 33.49 | 34.06 | 32.49 | 32.53 | 33.37 | 33.08 | 33.00 | 32.28 | 28.56 | 33.10 | 32.06 | 33.91 | 33.88 | 32.48 | 32.63 |
Maximum | 35.47 | 35.73 | 35.07 | 34.55 | 33.99 | 33.68 | 33.68 | 34.10 | 33.91 | 34.91 | 35.22 | 35.61 | 35.37 | 35.02 | 35.02 |
R 1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | R11 | R12 | R13 | R14 | R15 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mean | 34.78 | 34.44 | 33.65 | 33.45 | 33.93 | 33.85 | 34.05 | 34.27 | 30.81 | 33.78 | 33.73 | 34.55 | 34.69 | 34.28 | 34.28 |
SD | 0.44 | 0.76 | 0.73 | 1.06 | 0.99 | 0.96 | 0.87 | 0.96 | 2.59 | 1.11 | 1.08 | 1.07 | 1.07 | 0.99 | 0.98 |
Minimum | 34.01 | 32.82 | 32.82 | 31.91 | 31.97 | 32.28 | 32.78 | 32.97 | 28.11 | 32.01 | 31.68 | 31.95 | 32.27 | 32.03 | 32.09 |
Maximum | 35.41 | 35.61 | 35.02 | 35.04 | 35.42 | 35.25 | 35.78 | 36.45 | 34.91 | 35.14 | 35.10 | 35.59 | 35.69 | 35.50 | 35.57 |
Right Side | Left Side | p |
---|---|---|
R1 | R2 | 0.655 |
R3 | R4 | 0.091 |
R5 | R6 | 0.023 |
R7 | R8 | 0.023 |
R10 | R11 | 0.147 |
R12 | R13 | 0.772 |
R14 | R15 | 0.597 |
Variables | Predominant Side | ||||
---|---|---|---|---|---|
Right (n = 10) | Left (n = 4) | Bilateral (n = 10) | p | ||
Mean ± SD | Mean ± SD | Mean ± SD | |||
R1 | Maximum | 35.1 ± 0.7 | 35.0 ± 0.7 | 35.3 ± 0.3 | 0.656 |
Minimum | 33.8 ± 1.3 | 33.9 ± 1.4 | 33.9 ± 0.8 | 0.979 | |
Average | 34.6 ± 1.0 | 34.6 ± 0.9 | 34.8 ± 0.4 | 0.795 | |
R2 | Maximum | 35.1 ± 0.8 | 35.1 ± 0.9 | 35.1 ± 0.6 | 0.982 |
Minimum | 33.3 ± 1.2 | 34.5 ± 0.7 | 33.3 ± 1.4 | 0.246 | |
Average | 34.4 ± 0.9 | 34.9 ± 0.8 | 34.4 ± 0.8 | 0.582 | |
R3 | Maximum | 34.1 ± 0.9 | 34.1 ± 1.2 | 34.2 ± 0.5 | 0.927 |
Minimum | 33.3 ± 1.1 | 32.9 ± 1.0 | 33.1 ± 1.0 | 0.833 | |
Average | 33.7 ± 1.1 | 33.5 ± 1.1 | 33.7 ± 0.7 | 0.963 | |
R4 | Maximum | 33.9 ± 0.8 | 34.0 ± 1.1 | 34.0 ± 0.7 | 0.880 |
Minimum | 32.9 ± 1.1 | 32.5 ± 0.7 | 32.6 ± 1.9 | 0.880 | |
Average | 33.4 ± 0.9 | 33.3 ± 0.9 | 33.5 ± 1.1 | 0.949 | |
R5 | Maximum | 33.8 ± 0.8 | 33.7 ± 0.2 | 34.1 ± 0.9 | 0.613 |
Minimum | 33.6 ± 0.8 | 33.5 ± 0.4 | 33.8 ± 1.0 | 0.768 | |
Average | 33.7 ± 0.8 | 33.6 ± 0.3 | 33.9 ± 1.0 | 0.702 | |
R6 | Maximum | 34.1 ± 0.7 | 33.6 ± 0.3 | 34.0 ± 0.9 | 0.448 |
Minimum | 33.9 ± 0.6 | 33.2 ± 0.4 | 33.7 ± 1.0 | 0.327 | |
Average | 34.0 ± 0.6 | 33.4 ± 0.3 | 33.9 ± 0.9 | 0.397 | |
R7 | Maximum | 34.2 ± 0.6 | 33.7 ± 0.3 | 34.4 ± 0.8 | 0.189 |
Minimum | 33.7 ± 0.7 | 33.1 ± 0.6 | 33.7 ± 1.0 | 0.354 | |
Average | 34.0 ± 0.6 | 33.4 ± 0.3 | 34.1 ± 0.9 | 0.294 | |
R8 | Maximum | 34.0 ± 0.7 | 33.5 ± 0.8 | 34.6 ± 0.9 | 0.081 |
Minimum | 33.4 ± 0.8 | 33.0 ± 0.7 | 33.8 ± 1.1 | 0.280 | |
Average | 33.7 ± 0.7 | 33.3 ± 0.8 | 34.3 ± 1.0 | 0.128 | |
R9 | Maximum | 29.6 ± 1.6 | 31.8 ± 2.6 | 31.1 ± 2.6 | 0.192 |
Minimum | 29.5 ± 1.6 | 31.0 ± 3.0 | 30.5 ± 2.6 | 0.462 | |
Average | 29.6 ± 1.6 | 31.4 ± 2.8 | 30.8 ± 2.6 | 0.308 | |
R10 | Maximum | 33.5 ± 0.6 | 34.2 ± 1.0 | 34.2 ± 1.1 | 0.203 |
Minimum | 32.4 ± 1.2 | 33.2 ± 0.6 | 33.2 ± 1.1 | 0.202 | |
Average | 33.1 ± 0.7 | 33.8 ± 0.8 | 33.8 ± 1.1 | 0.209 | |
R11 | Maximum | 33.8 ± 0.8 | 34.2 ± 1.0 | 34.2 ± 1.1 | 0.681 |
Minimum | 32.6 ± 1.5 | 33.3 ± 1.3 | 33.2 ± 1.0 | 0.477 | |
Average | 33.4 ± 1.0 | 33.7 ± 1.3 | 33.7 ± 1.1 | 0.786 | |
R12 | Maximum | 34.6 ± 0.6 | 34.8 ± 0.8 | 34.8 ± 0.8 | 0.861 |
Minimum | 33.9 ± 0.8 | 34.3 ± 0.7 | 34.2 ± 1.1 | 0.720 | |
Average | 34.3 ± 0.6 | 34.5 ± 0.8 | 34.6 ± 1.1 | 0.820 | |
R13 | Maximum | 34.7 ± 0.8 | 34.8 ± 0.6 | 35.0 ± 0.9 | 0.700 |
Minimum | 34.0 ± 1.1 | 34.2 ± 0.7 | 34.3 ± 1.3 | 0.832 | |
Average | 34.4 ± 0.9 | 34.5 ± 0.7 | 34.7 ± 1.1 | 0.733 | |
R14 | Maximum | 34.1 ± 0.8 | 34.2 ± 0.9 | 34.5 ± 0.9 | 0.633 |
Minimum | 33.6 ± 1.1 | 33.6 ± 1.2 | 34.1 ± 1.1 | 0.559 | |
Average | 33.9 ± 0.9 | 34.0 ± 1.1 | 34.3 ± 1.0 | 0.622 | |
R15 | Maximum | 34.0 ± 0.8 | 34.3 ± 0.8 | 34.4 ± 0.9 | 0.495 |
Minimum | 33.6 ± 1.0 | 33.8 ± 1.1 | 34.1 ± 1.0 | 0.567 | |
Average | 33.8 ± 0.9 | 34.0 ± 1.0 | 34.3 ± 1.0 | 0.570 | |
R1 vs. R2 Difference | Maximum | 0.03 ± 0.72 | −0.09 ± 0.22 | 0.26 ± 0.43 | 0.494 |
Minimum | 0.55 ± 1.45 | −0.59 ± 0.95 | 0.62 ± 1.38 | 0.307 | |
Average | 0.14 ± 0.95 | −0.33 ± 0.41 | 0.33 ± 0.54 | 0.321 | |
R3 vs. R4 Difference | Maximum | 0.22 ± 0.37 | 0.06 ± 0.17 | 0.17 ± 0.39 | 0.754 |
Minimum | 0.44 ± 0.61 | 0.46 ± 0.68 | 0.53 ± 1.31 | 0.977 | |
Average | 0.27 ± 0.45 | 0.27 ± 0.39 | 0.20 ± 0.53 | 0.949 | |
R5 vs. R6 Difference | Maximum | −0.36 ± 0.46 | 0.12 ± 0.49 | 0.05 ± 0.42 | 0.089 |
Minimum | −0.34 ± 0.39 a | 0.27 ± 0.53 b | 0.11 ± 0.31 b | 0.015 | |
Average | −0.38 ± 0.44 a | 0.20 ± 0.51 ab | 0.09 ± 0.34 b | 0.026 | |
R7 vs. R8 Difference | Maximum | 0.21 ± 0.30 | 0.16 ± 0.76 | −0.19 ± 0.48 | 0.163 |
Minimum | 0.36 ± 0.42 | 0.05 ± 0.52 | −0.14 ± 0.52 | 0.088 | |
Average | 0.28 ± 0.33 | 0.09 ± 0.69 | −0.23 ± 0.49 | 0.072 | |
R10 vs. R11 Difference | Maximum | −0.31 ± 0.61 | 0.04 ± 0.31 | −0.01 ± 0.42 | 0.333 |
Minimum | −0.25 ± 1.15 | −0.15 ± 0.74 | −0.02 ± 0.40 | 0.842 | |
Average | −0.33 ± 0.67 | 0.10 ± 0.66 | 0.05 ± 0.39 | 0.252 | |
R12 vs. R13 Difference | Maximum | −0.08 ± 0.38 | 0.02 ± 0.25 | −0.12 ± 0.34 | 0.533 |
Minimum | −0.06 ± 0.51 | 0.06 ± 0.48 | −0.07 ± 0.43 | 0.885 | |
Average | −0.04 ± 0.43 | 0.01 ± 0.29 | −0.14 ± 0.33 | 0.740 | |
R14 vs. R15 Difference | Maximum | 0.09 ± 0.11 | −0.04 ± 0.18 | 0.02 ± 0.14 | 0.293 |
Minimum | −0.03 ± 0.22 | −0.25 ± 0.24 | −0.04 ± 0.19 | 0.183 | |
Average | 0.02 ± 0.13 | −0.05 ± 0.07 | −0.01 ± 0.13 | 0.593 |
Variables | Predominant Side | |||
---|---|---|---|---|
Right (n = 10) | Left (n = 4) | Bilateral (n = 10) | p | |
Median (Min–Max) | Median (Min–Max) | Median (Min–Max) | ||
Presence of Aura—n (%) | 9 (90.0) | 2 (50.0) | 5 (50.0) | 0.122 |
VAS | 7 (0–8) | 7 (7–8) | 7 (6–8) | 0.626 |
PAS | 5.5 (1–27) | 3.5 (0–14) | 2 (0–40) | 0.515 |
DHI | 50 (0–70) | 12 (2–74) | 24 (0–60) | 0.298 |
WHOQOL—mean ± SD | 13.0 ± 3.8 | 13.8 ± 3.1 | 13.9 ± 2.5 | 0.791 |
Variables | VAS | PAS | DHI | WHOQOL |
---|---|---|---|---|
rs (p) | rs (p) | rs (p) | r (p) | |
R1 vs. R2 Difference | ||||
Right predominant side | −0.03 (0.945) | 0.02 (0.960) | 0.35 (0.328) | −0.43 (0.212) |
Bilateral predominant side | 0.18 (0.623) | −0.31 (0.390) | −0.86 (0.001) | 0.22 (0.535) |
R3 vs. R4 Difference | ||||
Right predominant side | −0.04 (0.918) | −0.46 (0.179) | −0.56 (0.090) | 0.41 (0.235) |
Bilateral predominant side | −0.15 (0.676) | −0.27 (0.452) | 0.47 (0.171) | 0.31 (0.380) |
R5 vs. R6 Difference | ||||
Right predominant side | 0.48 (0.160) | −0.32 (0.374) | 0.15 (0.676) | 0.08 (0.818) |
Bilateral predominant side | 0.45 (0.188) | 0.48 (0.157) | −0.40 (0.249) | −0.41 (0.245) |
R7 vs. R8 Difference | ||||
Right predominant side | 0.17 (0.642) | 0.21 (0.567) | 0.10 (0.777) | −0.43 (0.213) |
Bilateral predominant side | −0.05 (0.885) | −0.62 (0.054) | −0.59 (0.075) | 0.57 (0.085) |
R10 vs. R11 Difference | ||||
Right predominant side | 0.14 (0.706) | 0.12 (0.738) | 0.18 (0.627) | 0.10 (0.778) |
Bilateral predominant side | 0.17 (0.637) | 0.27 (0.452) | 0.18 (0.613) | −0.59 (0.075) |
R12 vs. R13 Difference | ||||
Right predominant side | 0.14 (0.706) | 0.37 (0.300) | 0.20 (0.580) | −0.03 (0.934) |
Bilateral predominant side | 0.47 (0.167) | 0.38 (0.280) | 0.09 (0.802) | −0.46 (0.183) |
R14 vs. R15 Difference | ||||
Right predominant side | −0.64 (0.048) | −0.46 (0.185) | −0.08 (0.829) | 0.45 (0.192) |
Bilateral predominant side | −0.16 (0.650) | 0.25 (0.485) | 0.66 (0.038) | −0.19 (0.603) |
Variables | Predominant Side (Right vs. Bilateral) | ||||
---|---|---|---|---|---|
AUC (95% CI) | p | Cutoff | Sensitivity | Specificity | |
R5 vs. R6 Difference | |||||
Average | 0.79 (0.58–1.00) | 0.007 | −0.11 | 80.0% | 80.0% |
R7 vs. R8 Difference | |||||
Average | 0.81 (0.60–1.02) | 0.003 | 0.001 | 90.0% | 80.0% |
Variables | Right | Bilateral | p | ||
n (%) | n (%) | ||||
Difference average R5 vs. R6 ≥ −0.111 | 2 (20.0) | 8 (80.0) | 0.025 | ||
Difference average R7 vs. R8 ≥ 0.001 | 9 (90.0) | 2 (20.0) | 0.005 |
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Fracasso, B.V.; Castro, R.B.; Brioschi, M.L.; Malysz, T. Exploring Facial Thermography Patterns in Women with Chronic Migraine. J. Clin. Med. 2023, 12, 7458. https://doi.org/10.3390/jcm12237458
Fracasso BV, Castro RB, Brioschi ML, Malysz T. Exploring Facial Thermography Patterns in Women with Chronic Migraine. Journal of Clinical Medicine. 2023; 12(23):7458. https://doi.org/10.3390/jcm12237458
Chicago/Turabian StyleFracasso, Bruno Veloso, Renato Bender Castro, Marcos Leal Brioschi, and Taís Malysz. 2023. "Exploring Facial Thermography Patterns in Women with Chronic Migraine" Journal of Clinical Medicine 12, no. 23: 7458. https://doi.org/10.3390/jcm12237458
APA StyleFracasso, B. V., Castro, R. B., Brioschi, M. L., & Malysz, T. (2023). Exploring Facial Thermography Patterns in Women with Chronic Migraine. Journal of Clinical Medicine, 12(23), 7458. https://doi.org/10.3390/jcm12237458