- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Hair Fall Count 60-second: Clinic-Based Modified Count Versus Home-Based Count | ||
| Al- Anbar Medical Journal | ||
| Article 8, Volume 19, Issue 2, December 2023, Pages 123-127 PDF (655.08 K) | ||
| Document Type: Original articles | ||
| DOI: 10.33091/amj.2023.139263.1089 | ||
| Authors | ||
| Haitham badr Fathi; mustafa Nooruldeen Abdulqader* ; Omar younis abdullah | ||
| Department of Medicine/Dermatology and Venereology, College of Medicine, University of Ninevah, Mosul, Iraq. | ||
| Abstract | ||
| Background: Female diffuse alopecia is a common dermatologic problem. Consequently, a simple, quick, and quantitative assessment is required to aid in diagnosis. A clinic-based modified hair fall count in 60 seconds is proposed as a new, simple, and quick method for evaluating hair loss. Objectives: To assess bias and limit of agreement between the new Clinic-based modified hair fall count in 60 seconds (CBMHFC 60-S) and conventional home-based hair fall count in 60 seconds (HBHFC 60-S) determining hair fall in women with diffuse hair loss. Materials and Methods: Seventy-five women with diffuse alopecia recruited from Al-Salam Teaching Hospital, Mosul, Iraq underwent assessment of hair fall count by using two instruments, new single reading (CBMHFC 60-S) and conventional three reading (HBHFC 60-S). A multistage statistical analysis of validity tests was used to assess the performance of CBMHFC 60-S in comparison to HBHFC 60-S. These included the estimation of the difference between both methods; correlation and prediction; and lastly estimating accuracy (amount of bias and limits of agreement) using Bland Altman blot. A P-value < 0.05 was considered a statistically significant difference. Results: A non-statistically significant difference (P-value = 0.06) in average hair fall count was estimated by CBMHFC 60-S and HBFHFC 60-S (15.81 ± 7.16 vs 18.18 ± 8.56). A very highly significant linear relationship between both tests (r = 0.434, P-value <0.0001). A regression analysis yields the following prediction equation [CBMHFC 60-S = 9.21 + 0.36* (HBHFC 60-S)]. Bland-Altman blot revealed a high accuracy of the CBHFC 60-S. The count was less than HBHFC 60-S count by an average of 2.38 hairs. The 95% CI of CBMHFC 60-s in comparison to HBHFC 60-S will fall between -18.95 and 14.19. Conclusion: The new single reading CBMHFC-60S estimation of hair fall count was a valid test reflected by its strong association with an average of three readings of conventional HBHFC-60 and high concordance (low bias and high precision). | ||
| Keywords | ||
| Diffuse Hair Loss; Women; Clinic-based modified hair fall count in 60s (CBMHFC 60-S); Home-based hair fall count in 60s (HBHFC 60-S) | ||
| References | ||
|
[1] K. Poonia, G. P. Thami, M. Bhalla, S. Jaiswal, and J. Sandhu, “NonScarring diffuse hair loss in women: a clinico‐etiological study from tertiary care center in North‐West India,” J. Cosmet. Dermatol., vol. 18, no. 1, pp. 401–407, 2019.
[2] M. Francisco and A. Camacho-Martínez, “Hair loss in women,” Semin Cutan Med Surg, vol. 28, pp. 19–32, 2009.
[3] A. J. Jackson and V. H. Price, “How to diagnose hair loss,” Dermatol. Clin., vol. 31, no. 1, pp. 21–28, 2013.
[4] R. Sinclair, “Hair shedding in women: how much is too much?,” Br. J. Dermatol., vol. 173, no. 3, pp. 846–848, 2015.
[5] R. Dhurat and P. Saraogi, “Hair evaluation methods: merits and demerits,” Int. J. Trichology, vol. 1, no. 2, p. 108, 2009.
[6] K. A. McDonald, A. J. Shelley, K. Maliyar, T. Abdalla, R. A. Beach, and J. Beecker, “Hair pull test: A clinical update for patients with Asian-and Afro-textured hair,” J. Am. Acad. Dermatol., vol. 85, no. 6, pp. 1599–1601, 2021.
[7] K. A. McDonald, A. J. Shelley, S. Colantonio, and J. Beecker, “Hair pull test: Evidence-based update and revision of guidelines,” J. Am. Acad. Dermatol., vol. 76, no. 3, pp. 472–477, 2017.
[8] A. Rebora, “Telogen effluvium: a comprehensive review,” Clin. Cosmet. Investig. Dermatol., pp. 583–590, 2019.
[9] C. A. Wasko, C. L. Mackley, L. C. Sperling, D. Mauger, and J. J. Miller, “Standardizing the 60-second hair count,” Arch. Dermatol., vol. 144, no. 6, pp. 759–762, 2008.
[10] R. R. Luiz and M. Szklo, “More than one statistical strategy to assess agreement of quantitative measurements may usefully be reported,” J. Clin. Epidemiol., vol. 58, no. 3, p. 215, 2005.
[11] F. Asghar, N. Shamim, U. Farooque, H. Sheikh, and R. Aqeel, “Telogen effluvium: a review of the literature,” Cureus, vol. 12, no. 5, 2020.
[12] D. Giavarina, “Understanding bland altman analysis,” Biochem. medica, vol. 25, no. 2, pp. 141–151, 2015.
[13] M. Nooruldden Abdulqader, H. B. Fathi, B. T. Mahmood, and O. Y. Abdullah, “Correlation between Serum Ferritin and Haemoglobin Level in Females with Hair Fall Count in Females with Chronic Telogen Effluvium,” Ann. Coll. Med. Mosul, vol. 45, no. 1, pp. 1–6, 2023.
[14] M. LALU, N. MANICKAM, K. GOPALAN, and S. G. VELLAISAMY, “Impact on Quality of Life among Females with Diffuse Hair Loss at a Tertiary Care Centre: A Cross-sectional Study.,” J. Clin. Diagnostic Res., vol. 15, no. 10, 2021.
[15] T. Mubki, L. Rudnicka, M. Olszewska, and J. Shapiro, “Evaluation and diagnosis of the hair loss patient: part I. History and clinical examination,” J. Am. Acad. Dermatol., vol. 71, no. 3, pp. 415-e1, 2014.
[16] P. F. Watson and A. Petrie, “Method agreement analysis: a review of correct methodology,” Theriogenology, vol. 73, no. 9, pp. 1167–1179, 2010.
[17] A. Grieco et al., “Evaluating agreement between clinic-and patient-reported outcomes for weight and co-morbidities at 1 year after bariatric surgery,” Surg. Obes. Relat. Dis., vol. 19, no. 4, pp. 309–317, 2023.
[18] C. Edwards, H. Allen, and C. Chamunyonga, “Correlation does not imply agreement: A cautionary tale for researchers and reviewers,” Sonography, vol. 8, no. 4, pp. 185–190, 2021.
[19] N. Ö. Doğan, “Bland-Altman analysis: A paradigm to understand correlation and agreement,” Turkish J. Emerg. Med., vol. 18, no. 4, pp. 139–141, 2018.
[20] R. Sinclair et al., “Hair loss in women: medical and cosmetic approaches to increase scalp hair fullness,” Br. J. Dermatol., vol. 165, no. s3, pp. 12–18, 2011.
[21] J. J. Miller and S. Fang, “Results of 60-second timed hair counts in women between the ages of 20–60 years,” J. Am. Acad. Dermatol., vol. 50, no. 3, p. P93, 2004.
[22] X. Li, X. Wang, C. Wang, J. Zhang, and C. Zhou, “Hair shedding evaluation for alopecia: a refined wash test,” Clin. Cosmet. Investig. Dermatol., pp. 117–126, 2022. | ||
|
Statistics Article View: 923 PDF Download: 520 |
||