We report observations that provide a possible explanation for the in vivo preferential fat targeting by DC. Fat tissue, being deficient in cell-associated proteins and interstitial albumin, may be unable to sufficiently neutralize the detergent activity of DC, possibly making fat uniquely sensitive to DC.
Background. COVID-19 is a pandemic disease worldwide. Although cutaneous manifestations may present in affected patients, there have been limited studies on the cutaneous findings and hair and nail abnormalities after discharge. Objective. To establish the cutaneous manifestations, hair and scalp disorders, and nail abnormalities in patients who recovered from COVID-19 infections. Methods. A retrospective chart review and telephone interviews were conducted to determine the cutaneous manifestations, hair and scalp disorders, and nail abnormalities of patients aged over 18 years who were diagnosed with COVID-19 infections at Siriraj Hospital, Bangkok, Thailand, between January and June 2020. Results. Ninety-three patients with prior COVID-19 infections participated in the study. The COVID-19 severity had been mild for most (71%). Cutaneous manifestations were reported in 8 patients (8.6%), with the common skin conditions being maculopapular rash and urticaria. The onsets of the skin conditions were before admission (1%), during admission (4.3%), and after discharge (3.2%). Increased hair shedding was also reported in 22 patients (23.7%), with a female predominance. Three patients were affected during admission, while the others were affected after discharge. The patients with moderate, severe, and critical COVID-19 infections experienced significantly more hair shedding than those with asymptomatic and mild diseases. Only 2 patients with mild COVID-19 disease reported nail abnormalities (chromonychia and brittle nails). Conclusions. Cutaneous manifestations, hair disorders, and nail abnormalities can occur in patients with COVID-19 after their discharge from hospital. Patients should therefore be followed up in anticipation of dermatological problems.
The difficulty of the follicular unit excision (FUE) hair transplantation procedure is currently attributed to hair curliness and subsurface angulation. Patients possessing the curliest hair shafts are considered the most challenging. Consequently, patients with these features are often denied FUE. However, this practice does not consider intrapatient variation in the graft attrition rate and the rates themselves, which are frequently low in very curly hair where the skin firmness/thickness is average. To better aid practitioners in predicting FUE performance, we have developed a new scoring system (the Sanusi FUE Score Scale [SFS Scale]) based on two major donor variables (hair and skin characteristics). Material and Method:The scale assigns scores to each of three hair subtypes (straight-wavy, curly, and coily-kinky) and each of three skin subtypes (thick/firm, soft/thin, and medium thickness/firmness). The scores were weighted based on the assessment of 13 experienced FUE practitioners from around the globe, who were asked to score each of the three skin and hair characteristics for their contribution to FUE difficulty. Results: On the contribution of skin characteristics to FUE difficulty, 12/13 (92%) practitioners assigned the highest (most difficult) score to thick/firm skin, with medium skin thickness/firmness being the least challenging. The same percentage of practitioners gave the highest difficulty score to coiled-kinky hair subtypes regarding the contribution of hair characteristics to FUE difficulty. All agreed that straight-wavy hair presents the least challenge to FUE performance. Tallying the scores of the skin and hair variables generates a final score range of 2-9, which is associated with five grades/classes of challenge in the FUE procedure, influencing the need for a specialized skill/nuanced approach or equipment. Conclusion:We developed a universal FUE donor scoring scale that accounts for the diversity of human hair and skin types. Further evaluation to determine the validity of this new classification system in predicting and grading FUE difficulty and patient outcomes is warranted.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.