Presence of Mediastinal Lymphadenopathy in Hospitalized Covid-19 Patients in a Tertiary Care Hospital in Pakistan - A cross-sectional study
Malik, A. A.; Bhatti, F. S.; Malik, A. A.
Show abstract
BackgroundThe aim of this study was to investigate the presence of mediastinal lymphadenopathy in hospitalized Covid-19 patients in a tertiary care hospital in the metropolitan city of Lahore, Pakistan from September 2020 till July 2021. MethodsWe retrospectively collected data of Covid-19 patients hospitalized from September 2020 till July 2021. Only those patients who tested PCR positive through a nasopharyngeal swab, were enrolled in the study. Patients whose data were missing were excluded from this study. Our exclusion criteria included patients who tested negative on Covid-19 PCR, patients with comorbidities that may cause enlarged mediastinal lymphadenopathies such as haemophagocytic lymphohistiocytosis, neoplasia, tuberculosis, sarcoidosis or a systemic disease. The extent of lung involvement in Covid-19 patients was quantified by using a 25-point visual quantitative assessment called the Chest Computed Tomography Score. This score was then correlated with the presence of mediastinal lymphadenopathy. FindingsOf the 210 hospitalized patients included in the study, 131 (62.4%) had mediastinal lymphadenopathy. The mean and median Severity Score of Covid-19 patients with mediastinal lymphadenopathy (mean: 17.1, SD:5.7; median: 17, IQR: 13-23) were higher as compared to those without mediastinal lymphadenopathy (mean: 12.3, SD:5.4; median: 12, IQR:9-16) InterpretationOur study documents a high prevalence of mediastinal lymphadenopathy in hospitalized patients with Covid-19 with the severity score being higher in its presence representing a more severe course of disease.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Characteristics and outcome profile of Hospitalized African COVID-19 patients: The Ethiopian Context 95%
- Quantitative analysis of chest computed tomography of COVID-19 pneumonia using a software widely used in Japan 95%
- Prevalence, characteristics, and predictors of Long COVID among diagnosed cases of COVID-19 95%
Similar papers in this journal
- Post mortem pathological findings in COVID-19 cases: A Systematic Review 95%
- Comparative study between first and second wave of COVID-19 deaths in India - a single center study 94%
- Comparison of Efficacy of Dexamethasone and Methylprednisolone in Improving the Partial Pressure of Arterial Oxygen and Fraction of Inspired Oxygen Ratio among COVID-19 Patients 94%
Similar papers in this journal
- Epidemiological And Clinical Characteristics Of COVID-19 Patients In Kenya 95%
- Point-of-care lung ultrasonography for early identification of mild COVID-19: a prospective cohort of outpatients in a Swiss screening center 93%
- Chest X-Ray Has Poor Diagnostic Accuracy and Prognostic Significance in COVID-19: A Propensity Matched Database Study 93%
Similar papers in this journal
- Evaluation of rapid antibody test and chest computed tomography results of COVID-19 patients: A retrospective study 96%
- Relative expression of pro-inflammatory molecules in COVID-19 patients manifested disease severities 94%
- Risk factors for bacterial infections in patients with moderate to severe COVID-19: A case control study 93%
Similar papers in this journal
- Climate influences scrub typhus occurrence in Vellore, Tamil Nadu, India: Analysis of a 15 year dataset 93%
- Beneficial influence of single-stage posterior surgery for the treatment of lumbar brucella spondylitis combined with spondylolisthesis 93%
- Predictive signs and symptoms of Bacterial Meningitis isolates in Northern Ghana 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.