RESUMO
Platelet-rich plasma (PRP) therapy, is a stand-alone therapy or is used in combination with other treatments for the treatment of androgenic alopecia. The purpose of this meta-analysis was to compare the improvement in hair density seen, when PRP was used alone and when used as an adjunct. Methods: Conforming to systematic review and meta-analysis recommendations, we performed a meta-analysis of relevant articles in multiple databases, from inception till May 2022. Randomized clinical trials were included that evaluated the use of PRP alone or used PRP as an adjuvant with previously used therapies. Hair density data at the start of treatment and follow-up after 3 and 6 months was used for analysis. Results: A review of 255 articles included nine studies, for a cumulative data set of 230 individuals. In comparison to the placebo, stand-alone PRP therapy resulted in a significant increase in hair density (MD=25.39, P<0.00001.) PRP combination therapy also showed marked improvement in hair density compared to placebo (MD=34.38, P=0.002.) When comparing stand-alone PRP to combination therapy, MD=36.16, and MD=34.63 was observed for the two groups, respectively. Conclusions: The results of this meta-analysis reaffirm previous studies that suggest the role of PRP in improving hair density in AGA; however, the results cannot justify the use of PRP-combined therapy. Stand-alone PRP therapy should be considered in the management protocols for both men and women, whereas more studies and may be, different combination therapies are required before combined therapy can be included in the management guidelines for AGA.
RESUMO
Background and aims: The spectrum of Coronavirus disease-2019 (COVID-19) has been clinically defined from asymptomatic carriers to critical illness. Different inflammatory markers have been used to account for the severity and outcomes of this disease in different settings. Our study aims to investigate the role of these inflammatory markers in defining COVID-19 severity. Methods: This cross-sectional study included 200 confirmed cases of COVID-19. Inflammatory markers including lymphocyte count, D-Dimers, Ferritin, CRP, LDH were noted at admission. The moderate-to-critical disease was defined according to the WHO criteria. Descriptive statistics were applied. Mann-Whitney U-test was applied to compare the difference of markers between moderate-severe and critical patients. ROC was plotted to determine the cut-off values of these markers. Binary logistics regression analysis was used to assess which markers significantly predict the severity of COVID-19. Results: A D-dimer value of >775 ng/ml and LDH >495 U/L had a sensitivity of 72.9% and 79.2% and specificity of 57.9% and 53.6% respectively for critical COVID-19 illness. CRP levels of >100.5 mg/dl has a sensitivity of 66.7%. All inflammatory markers were significantly higher in a critical group of patients (p < 0.05) except for lymphopenia. Binary logistics regression analysis shows that LDH levels and D-dimers were only significant predictors of severity in COVID-19 patients. Conclusion: Inflammatory markers at admission are very useful in defining the severity of COVID-19 in addition to the clinical criteria. This is also useful in predicting adverse outcomes.
