Rhinosinus Mucormycosis with Drug-induced Pancytopenia in an Immunocompromised Severe COVID-19 Patient: A Success.

Secondary infections in coronavirus disease (COVID) are becoming common. We report a case of a female known case of diabetes, sarcoidosis on steroids and methotrexate admitted with COVID pneumonia. She was treated with steroids, remdesivir, and anticoagulants and was discharged. She revisited the hospital after 2 months with complaints of severe right-sided headache, eye pain, and vomiting. Magentic resonance image of brain and paranasal sinus revealed possibility of invasive rhinosinus mucormycosis. Functional endoscopic sinus surgery (FESS) was done and culture showed growth of mucor and methicillin resistant staphylococcus aureus (MRSA) following which she was started on amphotericin B and antibiotics. She also developed methotrexate and amphotericin B-induced pancytopenia for which injection folinic acid, granulocyte-colony stimulating factor (G-CSF), and erythropoietin were given and was switched over to liposomal amphotericin B. After 5 days of ventilatory support, she was discharged in a stable condition. Extensive steroids in an immunocompromised patient might have led to this event hence physicians should always keep this possibility of secondary fungal infection in COVID patients for understanding the impact of disease. How to cite this article: Mahajan A, Tandon VS. Rhinosinus Mucormycosis with Drug-induced Pancytopenia in an Immunocompromised Severe COVID-19 Patient: A Success. Indian J Crit Care Med 2022;26(3):395-398.

Smart grid data compression and reconstruction by wavelet packet transform.

A smart grid is a power network from generation to consumers and provides beneficial, steady, and safe electricity. It utilizes smart meters for billing, phasor measurement units to check the system's health., etc. As a result, it contains enormous volumes of real-time data that may be shared and stored by users, control centers, and services in a smart grid. It weakens the smart grid's communication networks. The size of the data in a smart grid will grow extremely in the future. As a result, it must reduce distortion in data compression and denoise while minimizing the demand on storage and communication networks. The goal of data compression and denoising should be to maximally conserve the useful data while accurately reflecting the state of the system and providing sufficient data regeneration at the receiving end. This paper has used lower-order different wavelets to represent a design to compress and reconstruct data at level three using wavelet Packet Transform. It works on the phasor measurement unit's current magnitude and voltage sag signals.•The proposed design has a better compression ratio.•Low reconstruction error.•This design is easy to access, systematic, profitable, and not time-consuming.