1,721,174 research outputs found
Epidemiology of Tinea pedis in Cagliari, Italy
No full textAim. Observational study of all incident Tinea pedis cases, realised from 2001 to 2007 at the Dermatology Clinic of the University of Cagliari, Italy, which is the main reference centre for dermatologic diseases in central southern Sardinia. Methods. All patients referred for foot inflammatory pathologies were included in the study. Samples of all clinically visible lesions were taken for mycological examination (20% KOH and culture). When lesions were absent samples were also taken from the IV inter-digital space of both feet to identify eventual sane carriers. Detailed anamneses investigated work, life habits, sports and predisposing conditions such as Hyperhidrosis and previous pathologies of the feet. Results. The study enrolled 1 568 patients, of which 918 (510 male-408 female) presented clinical manifestations whereas other 650 (426 male-224 female) were asymptomatic. Tinea pedis was diagnosed in 232 (14.79%), 163 male-69 female aged between 11 and 78 years, all in the group with clinical manifestations. The identified dermatophytes were Trichophyton mentagrophytes 115 cases (49.56%), Trichophyton rubrum 110 cases (47.42%) and Epidermophyton floccosum 7 cases (3.08%). Mycological exams in patients without clinical signs were always negative for dermatophytes, while rare colonies of Candida albicans were identified in 3 cases (0.46%). Conclusion. Tinea pedis represents a common public health problem, which occurs mainly in male ageing from 16 to 45 years, when working and leisure activities are at their maximum. The absence of dermatophytes identification in 650 asymptomatic patients suggests that the sane carrier condition is a very rare event
Dermatophyte infections mimicking other skin diseases: a 154-person case survey of tinea atypica in the district of Cagliari (Italy)
No full textBackground. Although usually simple, the diagnosis of dermatophyte infection is sometimes neglected. An observational study has been realized to evaluate the role of corticosteroid exposure (tinea incognito) and of other primary characteristics of the dermatophytosis that from onset mimic other diseases and mislead an unexperienced physician. Materials and methods Between 1990 and 2009, all cases of atypical dermatophytosis mimicking other skin diseases were collected from the more general number of dermatophyte infections diagnosed at the Dermatology Department of Cagliari University, Italy. Results One-hundred and fifty-four cases (71 male/83 female, 2-81years old) were studied, with a median of 7cases/year. The most observed clinical forms were those mimicking impetigo, eczematous dermatitis, lupus erythematosus, polymorphous light eruption, psoriasis, and rosacea. The identified dermatophytes were: Microsporum canis (70 cases), Trichophyton rubrum (43 cases), Trichophyton mentagrophytes var. mentagrophytes (29 cases), Trichophyton mentagrophytes var. interdigitale (six cases), Microsporum gypseum (three cases), Epidermophyton floccosum (two cases), and Trichophyton verrucosum (one case). Diagnostic difficulties are discussed, with special attention to the origin of the pathomorphosis. Conclusions In our experience, clinical atypia is not a mere consequence of corticosteroid therapy but present at the very onset of the illness, due to the variable dermatophyte invasive capacity, the site of invasion, physiological individual, and/or acquired condition, such as excessive washing or sun exposure. Therefore, we suggest using the term "tinea atypica" rather than "tinea incognito" to include all forms of dermatophytosis that do not present the classic features for both primary and secondary pathomorphosis
Acute Generalized Exanthematous Pustulosis (AGEP): the experience of an Italian drug-surveillance centre
No full textSkin changes secondary to hydroxyurea therapy: A survey of 30 cases and review of the literature
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Estimation of multifractal parameters in traffic measurement: An accuracy-based real-time approach
No full textIn this paper, we address the problem of real-time estimation of multifractal features for network traffic. The algorithm accuracy is the major concern in the proposed algorithm. From a statistical point of view, the higher the number of samples used in the estimation, the more accurate the results. However, network traffic in long intervals of time may have a heterogeneous scaling behavior, which would make the estimation results meaningless. We then propose an adaptive strategy that adjusts the length of the estimation interval based on local traffic features, i.e., it is enlarged as long as the traffic shows a homogeneous behavior. The development of this strategy relies on analyzing the variability of multifractality over time in real traffic traces. Simulation results show that the proposed algorithm is characterized by a higher accuracy with respect to a fixed approach. (c) 2005 Elsevier B.V. All rights reserved
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