Predictive value of CT in the short-term mortality of Coronavirus Disease 2019 (COVID-19) pneumonia in nonelderly patients: A case-control study

Tabatabaei, S M; Rahimi, Habibollah; Moghaddas, Fahimeh; Rajebi, Hamid

doi:10.1016/j.ejrad.2020.109298

Cited by 39 publications

(33 citation statements)

References 17 publications

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“…The CT Severity score was found as an independent predictor of mortality in our study with odds ratio of 1.39 [95% CI: 1.09-1.77]. Tabatabaei SM et al demonstrated that CT severity score is a reliable predictor of mortality with a score more than 7.5 having a sensitivity of 83 % in predicting mortality in nonelderly previously healthy individuals with COVID-19 pneumonia [23] . Although, our study showed that the fall in inflammatory markers occurred in both pentaglobin plus standard treatment group and standard treatment only group, the differences were statistically insignificant and do not support the hypothesis that pentaglobin reduces inflammatory markers progressively.…”

Section: Discussionsupporting

confidence: 52%

“Impact of pentaglobin in severe COVID 19 pneumonia- a prospective study.”

Joshi

Sharma

Thangasami

et al. 2021

International Immunopharmacology

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Background The current COVID-19 pandemic has become a global public health crisis and presents a serious challenge in treatment of severe COVID pneumonia patients. With an imperative need for an effective treatment, we aimed to study the effectiveness of Pentaglobin, an intravenous immunoglobin in the treatment of severe Covid-19 pneumonia patients. Methods This is an open-label non-randomised controlled study. Patients in the study group (n=17) received Pentaglobin in addition to standard therapy and the control group (n=19) received only the standard of care treatment. Severity of illness were quantified by severity scores and inflammatory laboratory parameters were compared between the two groups. Results The average length of hospital stay in pentaglobin group were 12.35±6.98 days compared to 10.94±4.62 days in standard treatment group with mean difference of 1.4 days (p value=0.4). Pentaglobin did not provide an added advantage in terms of reducing the duration of hospital stay. There was no significant difference between both the groups in terms of requirement of invasive ventilation (p=0.56) and mortality (p=0.86). CT Severity score (OR= 1.39 95% CI= 1.09-1.77, P=0.01), APACHE II score (OR=1.16 95% CI= 0.99-1.35, P=0.05) and the SOFA score (OR=2.11 95% CI=1.13-3.93, P=0.02) were independent predictors of mortality. Conclusion The administration of pentaglobin in COVID -19 patients has no significant effect in reducing the risk of mechanical ventilation or death, in disease worsening or in reduction of inflammation.

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Section: Discussionsupporting

confidence: 52%

“Impact of pentaglobin in severe COVID 19 pneumonia- a prospective study.”

Joshi

Sharma

Thangasami

et al. 2021

International Immunopharmacology

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“…Identifying admission CT predictors of adverse outcome in patients without underlying medical issues would help to identify the most vulnerable patients in this age range and, as a result, change their therapy. Several recent studies reported imaging CT findings of patients with adverse outcomes (12)(13)(14)(15). However, data on the outcomes of consecutive patients, factors influencing hospital admission vs. outpatient management, and risk factors for COVID-19 adverse effects is still lacking in Italy.…”

Section: Introductionmentioning

confidence: 99%

Predicting Severe/Critical Outcomes in Patients With SARS-CoV2 Pneumonia: Development of the prediCtion seveRe/crItical ouTcome in COVID-19 (CRITIC) Model

et al. 2021

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Objective: To create a prediction model of the risk of severe/critical disease in patients with Coronavirus disease (COVID-19).Methods: Clinical, laboratory, and lung computed tomography (CT) severity score were collected from patients admitted for COVID-19 pneumonia and considered as independent variables for the risk of severe/critical disease in a logistic regression analysis. The discriminative properties of the variables were analyzed through the area under the receiver operating characteristic curve analysis and included in a prediction model based on Fagan's nomogram to calculate the post-test probability of severe/critical disease. All analyses were conducted using Medcalc (version 19.0, MedCalc Software, Ostend, Belgium).Results: One hundred seventy-one patients with COVID-19 pneumonia, including 37 severe/critical cases (21.6%) and 134 mild/moderate cases were evaluated. Among all the analyzed variables, Charlson Comorbidity Index (CCI) was that with the highest relative importance (p = 0.0001), followed by CT severity score (p = 0.0002), and age (p = 0.0009). The optimal cut-off points for the predictive variables resulted: 3 for CCI [sensitivity 83.8%, specificity 69.6%, positive likelihood ratio (+LR) 2.76], 69.9 for age (sensitivity 94.6%, specificity 68.1, +LR 2.97), and 53 for CT severity score (sensitivity 64.9%, specificity 84.4%, +LR 4.17).Conclusion: The nomogram including CCI, age, and CT severity score, may be used to stratify patients with COVID-19 pneumonia.

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“…The prognostic value of CT has been reported by several studies [ 145 , 146 , 147 , 148 , 149 , 150 , 151 , 152 , 153 , 154 , 155 , 156 , 157 , 158 , 159 , 160 ]. The use of a CT severity score (CT-SS) may be useful to standardize the assessment of lung alterations in COVID-19 pneumonia and to stratify patient risk and predict short-term outcomes [ 108 , 145 , 148 , 150 , 151 , 152 ]. The CT-SS was previously reported as a risk factor for mortality in ARDS [ 153 ].…”

Section: Chest Ctmentioning

confidence: 98%

“…A study by Hu et al [ 157 ] showed that COVID-19 patients who died had an increased proportion of consolidations and higher CT-SS during the follow-up compared to the initial scans. Tabatabaei et al [ 148 ] reported that CT-SS is a reliable predictive factor of mortality in previously healthy non-elderly individuals with COVID-19 pneumonia. Abbasi et al [ 158 ] found a significant correlation between time of admission to time of death and CT-SS, and between CT-SS and time to ICU admission.…”

Section: Chest Ctmentioning

confidence: 99%

A Pictorial Review of the Role of Imaging in the Detection, Management, Histopathological Correlations, and Complications of COVID-19 Pneumonia

Brogna

Bignardi

Brogna³

et al. 2021

Diagnostics

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Imaging plays an important role in the detection of coronavirus (COVID-19) pneumonia in both managing the disease and evaluating the complications. Imaging with chest computed tomography (CT) can also have a potential predictive and prognostic role in COVID-19 patient outcomes. The aim of this pictorial review is to describe the role of imaging with chest X-ray (CXR), lung ultrasound (LUS), and CT in the diagnosis and management of COVID-19 pneumonia, the current indications, the scores proposed for each modality, the advantages/limitations of each modality and their role in detecting complications, and the histopathological correlations.

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Predictive value of CT in the short-term mortality of Coronavirus Disease 2019 (COVID-19) pneumonia in nonelderly patients: A case-control study

Abstract: Highlights CT severity score is a predictor of mortality in nonelderly COVID-19 pneumonia. CT severity score more than 7.5 has a sensitivity of 83 % in predicting mortality. The extent of disease should be relayed to the clinician for higher care priorities.

Cited by 39 publications

References 17 publications

“Impact of pentaglobin in severe COVID 19 pneumonia- a prospective study.”

“Impact of pentaglobin in severe COVID 19 pneumonia- a prospective study.”

Predicting Severe/Critical Outcomes in Patients With SARS-CoV2 Pneumonia: Development of the prediCtion seveRe/crItical ouTcome in COVID-19 (CRITIC) Model

A Pictorial Review of the Role of Imaging in the Detection, Management, Histopathological Correlations, and Complications of COVID-19 Pneumonia

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