ABSTRACT
This case report and literature review presents a detailed exploration of the diagnosis and management of laryngeal tuberculosis, emphasizing the challenges encountered in dealing with rare and multifaceted medical conditions. Through a systematic analysis of the patient's clinical journey and an insightful review of pertinent literature, the study underscores the complexity inherent in diagnosing primary laryngeal tuberculosis and highlights the growing relevance of this rare extrapulmonary manifestation. The case showcases the significance of a comprehensive diagnostic approach, the collaboration of diverse medical specialists, adherence to established treatment guidelines, and the crucial role of continuous patient monitoring. The successful resolution of this intricate case serves as a compelling testament to the power of interdisciplinary coordination and precision medicine, providing valuable insights into navigating the intricate landscape of laryngeal tuberculosis.
ABSTRACT
INTRODUCTION: Coronavirus Disease 2019 is a primarily respiratory illness that can cause thrombotic disorders. Elevation of D-dimer is a potential biomarker for poor prognosis in COVID-19, though optimal cutoff value for D-dimer to predict mortality has not yet been established. This study aims to assess the accuracy of admission D-dimer in the prognosis of COVID-19 and to establish the optimal cutoff D-dimer value to predict hospital mortality. METHODS: Clinical and laboratory parameters and outcomes of confirmed COVID-19 cases admitted to four hospitals in Kathmandu were retrospectively analyzed. Admitted COVID-19 cases with recorded D-dimer and definitive outcomes were included consecutively. D-dimer was measured using immunofluorescence assay and reported in Fibrinogen Equivalent Unit (µg/ml). The receiver operating characteristic curve was used to determine the accuracy of D-dimer in predicting mortality, and to calculate the optimal cutoff value, based on which patients were divided into two groups and predictive value of D-dimer for mortality was measured. RESULTS: 182 patients were included in the study out of which 34(18.7%) died during the hospital stay. The mean admission D-dimer among surviving patients was 1.067 µg/ml (±1.705 µg/ml), whereas that among patients who died was 3.208 µg/ml (±2.613 µg/ml). ROC curve for D-dimer and mortality gave an area under the curve of 0.807 (95% CI 0.728-0.886, p<0.001). Optimal cutoff value for D-dimer was 1.5 µg/ml (sensitivity 70.6%, specificity 78.4%). On Cox proportional hazards regression analysis, the unadjusted hazard ratio for high D-dimer was 6.809 (95% CI 3.249-14.268, p<0.001), and 5.862 (95% CI 2.751-12.489, p<0.001) when adjusted for age. CONCLUSION: D-dimer value on admission is an accurate biomarker for predicting mortality in patients with COVID-19. 1.5 µg/ml is the optimal cutoff value of admission D-dimer for predicting mortality in COVID-19 patients.