ArticleAcademic radiology2021
The Association of CT-measured Cardiac Indices with Lung Involvement and Clinical Outcome in Patients with COVID-19.
Article in Academic radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05304702 (Lung Injury), which is not on this map. Cited by 22 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Lung Injury (Pulmonary Edema) in COVID-19: Treatment With Furosemide and Negative Fluid Balance (NEGBAL): a Case-Control Study
Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.
- Association of epicardial adipose tissue with the severity and adverse clinical outcomes of COVID-19: A meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022Pooled it
- The effect of cardiovascular disease and acute cardiac injury on fatal COVID-19: a meta-analysis.The American journal of emergency medicine · 2021Pooled it
- Incidence of secondary pericardial effusions associated with different etiologies: a comprehensive review of literature.Journal of cardiothoracic surgery · 2025Review
- Cardiac complications associated with COVID-19: a single-center study from Southern Iran.Frontiers in pediatrics · 2025Article
- The association of radiologic right heart strain indices with the severity of pulmonary parenchymal involvement and prognosis in patients with COVID-19.Journal of cardiovascular and thoracic research · 2024Article
- Pulmonary artery diameter and NT-proBNP in patients with Covid-19: Predicting prognosis and mortality.African health sciences · 2023Article
- Lung Injury in COVID-19 Has Pulmonary Edema as an Important Component and Treatment with Furosemide and Negative Fluid Balance (NEGBAL) Decreases Mortality.Journal of clinical medicine · 2023Article
- Diagnosis of COVID-19 with simultaneous accurate prediction of cardiac abnormalities from chest computed tomographic images.PloS one · 2023Article
- Prognostic utility of cardiovascular indices in COVID-19 infection: A single-center prospective study in India.Journal of family medicine and primary care · 2022Article
- Article
- Radiological Cardiothoracic Ratio as a Potential Predictor of Right Ventricular Enlargement in Patients with Suspected Pulmonary Embolism Due to COVID-19.Journal of clinical medicine · 2021Article
- Pulmonary Edema in COVID-19 Treated with Furosemide and Negative Fluid Balance (NEGBAL): A Different and Promising Approach.Journal of clinical medicine · 2021Article
- Coronary artery calcification and epicardial adipose tissue as independent predictors of mortality in COVID-19.The international journal of cardiovascular imaging · 2021Article
- Prognostic utility of pulmonary artery and ascending aorta diameters derived from computed tomography in COVID-19 patients.Echocardiography (Mount Kisco, N.Y.) · 2021Article
- Cardiac adipose tissue volume and IL-6 level at admission are complementary predictors of severity and short-term mortality in COVID-19 diabetic patients.Cardiovascular diabetology · 2021Article
- Epicardial adipose tissue and severe Coronavirus Disease 19.Cardiovascular diabetology · 2021Article
- Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features.Journal of personalized medicine · 2021Article
- Pulmonary vascular enlargement and lesion extent on computed tomography are correlated with COVID-19 disease severity.Japanese journal of radiology · 2021Article
- Pathophysiology and Imaging Findings of COVID-19 Infection: An Organ-system Based Review.Academic radiology · 2021Review
- Predicting Severe/Critical Outcomes in Patients With SARS-CoV2 Pneumonia: Development of the prediCtion seveRe/crItical ouTcome in COVID-19 (CRITIC) Model.Frontiers in medicine · 2021Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
RATIONALE AND
objectivesCardiac indices can predict disease severity and survival in a multitude of respiratory and cardiovascular diseases. Herein, we hypothesized that CT-measured cardiac indices are correlated with severity of lung involvement and can predict survival in patients with COVID-19. MATERIALS AND
methodsEighty-seven patients with confirmed COVID-19 who underwent chest CT were enrolled. Cardiac indices including pulmonary artery-to-aorta ratio (PA/A), cardiothoracic ratio (CTR), epicardial adipose tissue (EAT) thickness and EAT density, inferior vena cava diameter, and transverse-to-anteroposterior trachea ratio were measured by non-enhanced CT. Logistic regression and Cox-regression analyses evaluated the association of cardiac indices with patients' outcome (death vs discharge). Linear regression analysis was used to assess the relationship between the extent of lung involvement (based on CT score) and cardiac indices.
resultsMean (±SD) age of patients was 54.55 (±15.3) years old; 65.5% were male. Increased CTR (>0.49) was seen in 52.9% of patients and was significantly associated with increased odds and hazard of death (odds ratio [OR] = 12.5, p = 0.005; hazard ratio = 11.4, p = 0.006). PA/A >1 was present in 20.7% of patients and displayed a nonsignificant increase in odds of death (OR = 1.9, p = 0.36). Furthermore, extensive lung involvement was positively associated with elevated CTR and increased PA/A (p = 0.001).
conclusionCT-measured cardiac indices might have predictive value regarding survival and extent of lung involvement in hospitalized patients with COVID-19 and could possibly be used for the risk stratification of these patients and for guiding therapy decision-making. In particular, increased CTR is prevalent in patients with COVID-19 and is a powerful predictor of mortality.
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Registered trials
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