3 research outputs found

    Spontaneous sublingual hematoma secondary to warfarin therapy—A rare complication

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    Abstract Warfarin is the most commonly prescribed oral anticoagulant in Nepal. It is commonly used for chronic anticoagulation in patients with atrial fibrillation, venous thromboembolism, and artificial heart valves. The major side effect of warfarin is bleeding. Though extremely rare, a sublingual hematoma can lead to life‐threatening complications as it can cause severe airway obstruction. We present a case of a 55‐year‐old female patient who had sublingual hematoma secondary to the use of Warfarin therapy. In addition to the discontinuation of warfarin, she was managed conservatively without any surgical intervention. Early diagnosis, timely discontinuation of the drug, and application of appropriate medical treatment are of utmost importance for reducing morbidity and mortality due to bleeding and airway compromise

    Hemophagocytic Lymphohistiocytosis secondary to Rickettsial infection: A case report

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    Abstract Hemophagocytic Lymphohistiocytosis (HLH) is a rare life‐threatening condition characterized by widespread activation of the immune system leading to tissue damage all over the body. It is divided into primary HLH due to inborn error in lymphocytes, T cells, and macrophages and secondary HLH which is mostly due to infections, systemic connective tissue diseases, and lymphoid malignancies. Here, we report a 34‐year‐old man with a history of high‐grade fever, chills, and rigor, eschar, splenomegaly with the laboratory findings of thrombocytopenia, hypochromic RBCs with anisocytosis and basophilic stippling, elevated transaminases, and a positive Weil Felix test along with positive PCR results for Orientia tsutsugamushi and the presence of IgG and IgM antibodies. A detailed workup was done to rule out other etiology for fever. Diagnosis of HLH secondary to Rickettsia infection was made with a thorough history, clinical evaluation, and a variety of investigations. The patient was treated with Doxycycline, Ciprofloxacin, Etoposide, and Dexamethasone but unfortunately, the patient died during treatment due to multiorgan failure. Patients with scrub typhus typically respond well to therapy; therefore, early detection and antibiotic treatment can help avoid serious complications. Scrub typhus with the hemophagocytic syndrome can result in DIC and multiorgan failure. Despite its rarity, scrub typhus may be lethal; as a result, practitioners must be aware of the necessity of detecting and treating suspected cases as soon as possible. We learned that a systematic diagnostic approach, use of diagnostic criteria, and prompt treatment are very crucial in this disease

    Digital Pulmonology Practice with Phonopulmography Leveraging Artificial Intelligence: Future Perspectives Using Dual Microwave Acoustic Sensing and Imaging

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    Respiratory disorders, being one of the leading causes of disability worldwide, account for constant evolution in management technologies, resulting in the incorporation of artificial intelligence (AI) in the recording and analysis of lung sounds to aid diagnosis in clinical pulmonology practice. Although lung sound auscultation is a common clinical practice, its use in diagnosis is limited due to its high variability and subjectivity. We review the origin of lung sounds, various auscultation and processing methods over the years and their clinical applications to understand the potential for a lung sound auscultation and analysis device. Respiratory sounds result from the intra-pulmonary collision of molecules contained in the air, leading to turbulent flow and subsequent sound production. These sounds have been recorded via an electronic stethoscope and analyzed using back-propagation neural networks, wavelet transform models, Gaussian mixture models and recently with machine learning and deep learning models with possible use in asthma, COVID-19, asbestosis and interstitial lung disease. The purpose of this review was to summarize lung sound physiology, recording technologies and diagnostics methods using AI for digital pulmonology practice. Future research and development in recording and analyzing respiratory sounds in real time could revolutionize clinical practice for both the patients and the healthcare personnel
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