Primary Cutaneous Aspergillosis in an Immunocompetent Patient: A Case Report from a Tertiary Care Hospital in Chennai.

Aspergillosis is a systemic fungal infection that commonly affects immunocompromised individuals and, less frequently, immunocompetent individuals. It is the most common opportunistic fungal disease after candidiasis. This is primarily a pulmonary infection and can also involve other body sites like paranasal sinuses and cutaneous tissues. Aspergillus fumigatus , Aspergillus niger , and Aspergillus flavus are the common species infecting humans. Primary cutaneous aspergillosis (PCA) is usually caused by A. flavus and A. fumigatus . It is commonly seen in immunocompromised patients such as those suffering from diabetes, malignancies, tuberculosis, human immunodeficiency virus, or patients on long-term steroids and antibiotics. In this article, we report a case of PCA, in the immediate postoperative period, following a road traffic accident, in an immunocompetent patient. This posed a diagnostic challenge to the treating physicians. A. flavus was confirmed with 10% potassium hydroxide mount, lactophenol cotton blue, and growth on Sabouraud dextrose agar from tissue culture sample. Antifungal treatment was initiated with oral itraconazole 200 mg after performing antifungal susceptibility testing based on Clinical and Laboratory Standards Institute guidelines. The patient's condition improved and was discharged. Thus, early detection of PCA combined with medical and surgical intervention can successfully eradicate infection and help in preventing disseminated aspergillosis.

Gas discrimination by simultaneous sound velocity and attenuation measurements using uncoated capacitive micromachined ultrasonic transducers.

Chemically functionalized or coated sensors are by far the most employed solution in gas sensing. However, their poor long term stability represents a concern in applications dealing with hazardous gases. Uncoated sensors are durable but their selectivity is poor or non-existent. In this study, multi-parametric discrimination is used as an alternative to selectivity for uncoated capacitive micromachined ultrasonic transducers (CMUTs). This paper shows how measuring simultaneously the attenuation coefficient and the time of flight under different nitrogen mixtures allows to identify hydrogen, carbon dioxide and methane from each other and determine their concentration along with identification of temperature and humidity drifts. Theoretical comparison and specific signal processing to deal with the issue of multiple reflections are also presented. Some potential applications are monitoring of refueling stations, vehicles and nuclear waste storage facilities.