Trichoscopic Features, Clinical Correlates, And Risk Prediction In Female Pattern Hair Loss: A Retrospective Case-Control Study

    Boquan Long, Qi Long, Pan Wang, Siqi Chen, Zhiming Ye, Hongwei Guo
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    The study examined 151 female pattern hair loss (FPHL) patients and 151 chronic telogen effluvium (CTE) patients, identifying trichoscopic features like brown or white peripilar signs and scalp pigmentation as more prevalent in FPHL. It found a genetic basis for FPHL, with a family history of androgenetic alopecia (AGA) and earlier onset of hair loss being common. A predictive model was developed, highlighting risk factors such as AGA family history, acne, seborrheic dermatitis, menstrual disorders, diet, sleep quality, and stress. The model aims to improve FPHL management by assessing risk, though the study notes limitations like recall bias and a small sample size, suggesting further research with larger cohorts.
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