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]
- 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]
- 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]
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