ABSTRACT
ABSTRACT: The SARS-CoV-2 pandemic brought countless clinical and pathophysiological questions. Although mucocutaneous infections are the most visible, they are among the least studied. This article provides relevant information to characterize morphologically and immunohistochemically the dermatoses from patients with COVID-19, during the first year of the pandemic. Immunohistochemistry reactions against the spike protein were performed in 48 skin biopsies, and the positive cases were classified according to their histomorphology; at the end, 41 biopsies led us to identify 12 morphological patterns that mimic other skin pathologies, among which pityriasiform patterns predominate. For the literature review, we selected cases of SARS-CoV-2 dermatoses that included complete histopathological information and that were published during the same interval of time; after careful evaluation, 205 biopsies were selected and then classified into 8 groups according to previously published proposals. Dermatoses associated with SARS-CoV-2 are as diverse in their clinical expression as in their histopathology, mimicking entities totally unrelated to COVID-19. Furthermore, some of these groups are characteristically associated with an aggressive course of the disease. Undoubtedly, it is necessary to delve into the possibility that these findings are translatable into prognostic and therapeutic factors.
Subject(s)
COVID-19 , Skin Diseases , Biopsy , Humans , Pandemics , SARS-CoV-2 , Skin Diseases/pathologyABSTRACT
BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) has been associated with different negative outcomes in the presence of advanced fibrosis. The Hepamet Fibrosis Score (HFS), a recently described noninvasive score, has shown excellent performance for the detection of advanced fibrosis. The aim of this study was to assess its performance in a Mexican population with NAFLD. METHODS: This was a retrospective cross-sectional study performed in 222 patients with biopsy-proven NAFLD, of whom 33(14%) had advanced fibrosis. We retrieved clinical data from each patient's medical record to compute the HFS, the NAFLD Fibrosis Score (NFS), and the Fibrosis-4 (FIB-4), and assess their performance. RESULTS: When considering the models as continuous variables, the area under the receiving operating characteristics curve of the HFS(0.758) was not different from that of the NFS(0.669, p = 0.09) or FIB-4(0.796, p = 0.1). The HFS had a sensitivity, specificity, positive and negative predictive values of 76.7% (95% CI 57.7-90.1), 90.1% (95% CI 85-93.9), 36.7% (95% CI 19.9-56.1), and 94.3% (95% CI 88.5-97.7), respectively. Indeterminate results (i.e., gray area) were more common with FIB-4 and HFS when compared with NFS [139(63%) and 122(55%) vs 80(36%), p < 0.001]. The variables that were associated with misclassification using the HFS were diabetes [OR 3.40 (95% CI 1.42-8.10), p = 0.006] and age [OR 1.06 (95% CI 1.01-1.11), p = 0.01]. CONCLUSION: The HFS showed sensitivity and specificity similar to that reported in the original publication; however, the positive predictive value was 36.7% at a pretest probability of 14%. The role of the HFS in prospective studies and in combination with other methods should be further explored.