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Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
The relationship between CT value and clinical outcomes in renal patients with COVID-19
Sadra Ashrafi1,2,3, Pouya Pourahmad Kisomi3, Saman Maroufizadeh4
1Chronic Kidney Disease Research Center, Department of Nephrology, Shahid Labbafinejad Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Purpose:
Concomitant kidney diseases raise the mortality rate due to the SARS-CoV-2 virus as an independent factor. Although a qualitative PCR test's result is sufficient for diagnosis, Cycle threshold value may present relevant information to the physicians in providing faster treatment in patients with chronic conditions, including kidney diseases, to prevent morbidity and subsequent mortality. Thus, the present study was conducted to determine the relationship between the Cycle threshold value and clinical outcomes in renal patients with the coronavirus 2019.
Methods:
This retrospective study was conducted on renal patients with the coronavirus 2019 infection admitted to Labbafinejad Hospital in Tehran, the capital of Iran, within a period of one year, from late February 2020 to February 2021. Data were collected per the prepared checklist. Cycle threshold values were measured by performing PCR on nasopharynx and oropharynx swab samples of patients.
Results:
According to the adjusted analysis, having high viral load increased the odds of in-hospital mortality (aOR = 11.65, 95% CI 3.93-34.54), ICU admission (aOR = 5.49, 95% CI 2.16-13.97), and invasive ventilation (aOR = 7.18, 95% CI 2.61-19.74). Having high viral load also increased the odds of O2 therapy (aOR = 3.08, 95% CI 0.79-12.01), although the difference was not statistically significant (P = 0.105).
Conclusion:
Cycle threshold value was a significant predictor of mortality in renal patients. Nevertheless, further studies are required on how to render optimal use of the Cycle threshold value, given that the quality of the test sample and the different groups of patients under study affect the effectiveness of this marker in predicting disease severity.
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