Association between laboratory parameters and CT severity in patients infected with Covid-19: A retrospective, observational study

Yılmaz, Atakan; Sabırlı, Ramazan; Seyit, Murat; Özen, Mert; Oskay, Alten; Çakmak, Vefa; Goren, Tarik; Turkcuer, Ibrahim

doi:10.1016/j.ajem.2021.01.040

Cited by 25 publications

(28 citation statements)

References 29 publications

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“…In contrast, the results of our study showed no association between smoking and COVID-19 severity. Our study reported that the incidence of SARS-CoV-2 infection was associated with underlying comorbidities, the most common of which was DM, followed by HTN, as described in most previous literature [4] , [19] , [28] , [29] , [30] , [36] , [37] . In line with our findings, Marhl et al [38] reported a higher risk of COVID-19 among patients with diabetes due to the association between the dysregulation of ACE2.…”

Section: Discussionmentioning

confidence: 56%

Demographic, clinical, and laboratory characteristics of patients with COVID-19 during the second and third waves of the pandemic in Egypt

Eid¹,

Attia²,

Hassan³

et al. 2021

Journal of Infection and Public Health

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Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel virus that belongs to the coronaviruses and causes coronavirus disease 2019 (COVID-19). In this study, we explored the demographic details, clinical features, and routinely conducted laboratory investigations of patients with COVID-19 during the second and third waves of the pandemic to understand their possible diagnostic and prognostic values in Egypt. Methods In this retrospective cohort study, the demographic characteristics, detailed medical history, laboratory findings, and symptoms of all enrolled patients with SARS-CoV-2 were collected from the medical records of Beni Suef University Hospitals between December 15, 2020, and April 15, 2021. Results This retrospective study included 473 patients, almost all of whom were elderly. The median age of the patients was 48 years, and those with moderate and severe disease were older than those with mild infections. The proportion of females was higher (63.4%) than males (36.6%). Diabetes mellitus (DM) was the most common comorbidity (17.3%), and fever was the most typical manifestation of COVID-19 (62.6%). Those with severe disease showed a higher C-reactive protein level (CRP) than those with moderate (p-value 0.009) or mild (p-value 0.01) diseases. Serum ferritin levels were significantly higher in patients with severe disease than in those with moderate disease (p-value 0.018). In contrast, D-dimer and serum creatinine were normal and showed no significant difference in all comparisons (p-value overall 0.21). Conclusion This study observed several variations in COVID-19 patients’ characteristics. The new manifestations included skin rash, bone and low back pains, and rigors. In contrast to females, most males had moderate-to-severe illness. Old age and higher body mass index was associated with increasing severity. D-dimer and complete blood count were normal and could not identify potential COVID‐19 patients. Patients who had mild illness were still at risk of developing post-COVID complications.

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Section: Discussionmentioning

confidence: 56%

Demographic, clinical, and laboratory characteristics of patients with COVID-19 during the second and third waves of the pandemic in Egypt

Eid¹,

Attia²,

Hassan³

et al. 2021

Journal of Infection and Public Health

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“…Although the definitive diagnosis of COVID-19 disease is the RT-PCR test, many routine and non-routine biological and biochemical parameters have been examined for their diagnostic values and clinical outcomes [ [2] , [3] , [4] , [5] , [6] , [7] ]. In the Cochrane database, 21 studies that include the laboratory data of 56,585 non-COVID-19 patients and 14,126 COVID-19 patients were reviewed.…”

Section: Discussionmentioning

confidence: 99%

“…It was declared a pandemic by the World Health Organization (WHO), with almost 400-600 k new cases daily, and it is responsible for more than 2.5 million deaths [ 1 ]. COVID-19 disease causes clinical manifestations, ranging from asymptomatic cases to severe pneumonia, and even to sepsis, multiorgan failure, and acute respiratory distress syndrome (ARDS) [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

“…Many diagnostic and prognostic biomarkers associated with COVID-19 disease have been revealed and investigated in the literature. These include D-dimer, C-Reactive protein (CRP), neutrophil count, leukocyte count, lymphocyte ratio, neutrophil-to-lymphocyte ratio, ferritin, procalcitonin and others not routinely tested in the diagnosis and clinical prognosis of COVID-19 [ [2] , [3] , [4] , [5] , [6] , [7] ].…”

Section: Introductionmentioning

confidence: 99%

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Soluble P-selectin as a potential diagnostic and prognostic biomarker for COVID-19 disease: A case-control study

et al. 2021

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Introduction To our knowledge, the diagnostic value of the sP-Selectin level in the diagnosis of COVID-19 disease has not yet been investigated. In this study, we aimed to assess this by evaluating the relationship between sP-Selectin level and the clinical severity of COVID-19 infections. Methods A total of 80 patients (50 with mild to moderate and 30 with severe COVID-19 pneumonia), and 60 non-symptomatic healthy volunteers participated in the study. Following serum isolation, sP-Selectin levels were assessed by Enzyme-Linked Immunosorbent Assay (ELISA) method. Results The serum sP-Selectin level was 1.7 ng/ml in the control group (1–3.78); 6.24 ng/ml (5.14–7.23) in mild-to-moderate pneumonia group; and 6.72 ng/ml (5.36–8.03) in the severe pneumonia group. Serum sP-Selectin levels in both mild-to-moderate pneumonia and severe pneumonia groups were found to be higher than the control group, with statistical significance ( p = 0.0001 and p = 0.0001, respectively). Receiver operating characteristic analysis (ROC) showed greater area under the curve (AUC) for the serum sP-Selectin levels of the COVID-19 patients (AUC = 0.913, 95% CI = 0.857–0.969; p = 0.0001). The serum sP-Selectin level was found to be 97.5% sensitive and 80% specific at 4.125 ng/ml level for diagnosis (p = 0.0001). The serum sP-Selectin level was found to be 76.9% sensitive and 51.9% specific at the level of 6.12 ng/ml ( p = 0.005) to predict the need for intensive care treatment. Conclusion This study showed that sP-Selectin can be used as a valuable biomarker in both diagnosing and predicting the need for intensive care treatment of COVID-19 infection.

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“…Coronaviruses invade the lungs, as well as the blood system, digestive system, and circulatory system (52). Therefore, the disease severity assessed by chest CT may correlate with laboratory inflammatory and immune biomarkers (53). The severity of lymphopenia and infection correlated with the severity of COVID-19 (54).…”

Section: Discussionmentioning

confidence: 99%

CT Quantification of COVID-19 Pneumonia at Admission Can Predict Progression to Critical Illness: A Retrospective Multicenter Cohort Study

Pang¹,

Liu

et al. 2021

Front. Med.

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Objective: Early identification of coronavirus disease 2019 (COVID-19) patients with worse outcomes may benefit clinical management of patients. We aimed to quantify pneumonia findings on CT at admission to predict progression to critical illness in COVID-19 patients.Methods: This retrospective study included laboratory-confirmed adult patients with COVID-19. All patients underwent a thin-section chest computed tomography (CT) scans showing evidence of pneumonia. CT images with severe moving artifacts were excluded from analysis. Patients' clinical and laboratory data were collected from medical records. Three quantitative CT features of pneumonia lesions were automatically calculated using a care.ai Intelligent Multi-disciplinary Imaging Diagnosis Platform Intelligent Evaluation System of Chest CT for COVID-19, denoting the percentage of pneumonia volume (PPV), ground-glass opacity volume (PGV), and consolidation volume (PCV). According to Chinese COVID-19 guidelines (trial version 7), patients were divided into noncritical and critical groups. Critical illness was defined as a composite of admission to the intensive care unit, respiratory failure requiring mechanical ventilation, shock, or death. The performance of PPV, PGV, and PCV in discrimination of critical illness was assessed. The correlations between PPV and laboratory variables were assessed by Pearson correlation analysis.Results: A total of 140 patients were included, with mean age of 58.6 years, and 85 (60.7%) were male. Thirty-two (22.9%) patients were critical. Using a cutoff value of 22.6%, the PPV had the highest performance in predicting critical illness, with an area under the curve of 0.868, sensitivity of 81.3%, and specificity of 80.6%. The PPV had moderately positive correlation with neutrophil (%) (r = 0.535, p < 0.001), erythrocyte sedimentation rate (r = 0.567, p < 0.001), d-Dimer (r = 0.444, p < 0.001), high-sensitivity C-reactive protein (r = 0.495, p < 0.001), aspartate aminotransferase (r = 0.410, p < 0.001), lactate dehydrogenase (r = 0.644, p < 0.001), and urea nitrogen (r = 0.439, p < 0.001), whereas the PPV had moderately negative correlation with lymphocyte (%) (r = −0.535, p < 0.001).Conclusions: Pneumonia volume quantified on initial CT can non-invasively predict the progression to critical illness in advance, which serve as a prognostic marker of COVID-19.

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Association between laboratory parameters and CT severity in patients infected with Covid-19: A retrospective, observational study

Cited by 25 publications

References 29 publications

Demographic, clinical, and laboratory characteristics of patients with COVID-19 during the second and third waves of the pandemic in Egypt

Demographic, clinical, and laboratory characteristics of patients with COVID-19 during the second and third waves of the pandemic in Egypt

Soluble P-selectin as a potential diagnostic and prognostic biomarker for COVID-19 disease: A case-control study

CT Quantification of COVID-19 Pneumonia at Admission Can Predict Progression to Critical Illness: A Retrospective Multicenter Cohort Study

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