Correction

Chest Radiograph Scoring Alone or Combined with Other Risk Scores for Predicting Outcomes in COVID-19 (Jan, 10.1148/radiol.219029, 2022)

RADIOLOGY (2022)

Related references

Note: Only part of the references are listed.

Article Radiology, Nuclear Medicine & Medical Imaging

Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients

Junaid Mushtaq et al.

Summary: The study evaluated the prognostic utility of an AI system assessing initial chest X-ray severity in patients with COVID-19, finding that patients with an AI system score of >= 30 had a higher risk of mortality and critical COVID-19. Additionally, RALE score, older age, male sex, coronary artery disease, COPD, and neurodegenerative disease were identified as independent predictors of adverse outcomes.

EUROPEAN RADIOLOGY (2021)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department

Maurizio Balbi et al.

Summary: The study demonstrated that using chest X-ray findings combined with patient history, oxygenation indices, and other data can predict mortality and the need for ventilatory support in COVID-19 patients at an early stage.

EUROPEAN RADIOLOGY (2021)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Chest radiograph at admission predicts early intubation among inpatient COVID-19 patients

Nicholas Xiao et al.

Summary: The degree of opacification on CXR at time of admission (CORS >= 6) independently predicts the need for intubation in COVID-19 patients, with significant increases in intubation within 48 hours of admission and during the hospital stay, regardless of age, sex, BMI, or any underlying cardiac or pulmonary comorbidities.

EUROPEAN RADIOLOGY (2021)

Add to Collection

Article Medicine, General & Internal

Evaluation and improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study

Ewan Carr et al.

Summary: This study evaluated the ability of using NEWS2 score to predict severe COVID-19 outcomes, and found that adding a set of blood and physiological parameters can improve risk stratification accuracy. However, there were issues of miscalibration in external validation, highlighting the need for a better understanding of the use of early warning scores for COVID-19.

BMC MEDICINE (2021)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Which role for chest x-ray score in predicting the outcome in COVID-19 pneumonia?

Roberto Maroldi et al.

Summary: The study demonstrates that the chest X-ray scoring system for COVID-19 patients correlates with patient outcome and disease severity, providing valuable information for critical care and clinical decision-making.

EUROPEAN RADIOLOGY (2021)

Add to Collection

Article Geriatrics & Gerontology

Predicting In-Hospital Mortality in COVID-19 Older Patients with Specifically Developed Scores

Marcello Covino et al.

Summary: The study compared several COVID-19 scoring systems for predicting in-hospital death in older patients, with ISARIC-4C and COVID-GRAM showing the best performance at ED admission. NEWS, a widely validated score in clinical practice, also had similar efficacy in predicting outcomes for older COVID-19 patients.

JOURNAL OF THE AMERICAN GERIATRICS SOCIETY (2021)

Add to Collection

Article Multidisciplinary Sciences

The association of chest radiographic findings and severity scoring with clinical outcomes in patients with COVID-19 presenting to the emergency department of a tertiary care hospital in Pakistan

Raima Kaleemi et al.

Summary: This study investigated the frequency and distribution of CXR findings, as well as their association with clinical outcomes in adult COVID-19 patients in a tertiary care hospital in Pakistan. The results showed that CXR severity scores were predictive of ICU admission and mortality, suggesting that CXRs may have valuable prognostic utility in resource-constrained settings. Further research with larger patient samples is needed to confirm these findings.

PLOS ONE (2021)

Add to Collection

Article Multidisciplinary Sciences

Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study

Shadi Ebrahimian et al.

Summary: The study compared the performance of AI and RALE scores in predicting patient outcomes and the need for mechanical ventilation in COVID-19 pneumonia. Both scores were strongly correlated with patients who had higher scores experiencing higher mortality and need for mechanical ventilation. Improved prediction accuracy was achieved by incorporating additional patient information such as age, gender, WBC count, and oxygen saturation.

SCIENTIFIC REPORTS (2021)

Add to Collection

Article Critical Care Medicine

Development and validation of the ISARIC 4C Deterioration model for adults hospitalised with COVID-19: a prospective cohort study

Rishi K. Gupta et al.

Summary: A prognostic model was developed and validated to predict the risk of clinical deterioration in acute COVID-19 cases. The model showed consistent discrimination, calibration, and clinical utility across different regions, demonstrating strong potential for informing decision making among hospitalized adults with COVID-19.

LANCET RESPIRATORY MEDICINE (2021)

Add to Collection

Article Respiratory System

Chest radiographs may assist in predicting the outcome in the early phase of Covid-19. UK district general hospital experience of Covid-19 first wave

Max Berrill et al.

Summary: This study found that chest radiographic assessment can help predict disease progression in COVID-19 patients, with significant differences between survivors and non-survivors. Therefore, in resource-constrained environments, using chest radiographs instead of computed tomography imaging may be a cost-effective method for evaluating COVID-19 patients.

EXPERT REVIEW OF RESPIRATORY MEDICINE (2021)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Performance of a Severity Score on Admission Chest Radiography in Predicting Clinical Outcomes in Hospitalized Patients With Coronavirus Disease (COVID-19)

Russell A. Reeves et al.

Summary: This study found that the severity scoring system of admission chest radiographs can help predict hospital mortality, intubation, and continuous renal replacement therapy (CRRT) rate in COVID-19 patients admitted to the hospital.

AMERICAN JOURNAL OF ROENTGENOLOGY (2021)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

COVID-19 outbreak in Italy: experimental chest X-ray scoring system for quantifying and monitoring disease progression

Andrea Borghesi et al.

RADIOLOGIA MEDICA (2020)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Clinical and Chest Radiography Features Determine Patient Outcomes in Young and Middle-aged Adults with COVID-19

Danielle Toussie et al.

RADIOLOGY (2020)

Add to Collection

Article Medicine, General & Internal

Clinical and epidemiological characteristics of 1420 European patients with mild-to-moderate coronavirus disease 2019

Jerome R. Lechien et al.

JOURNAL OF INTERNAL MEDICINE (2020)

Add to Collection

Letter Virology

Should RT-PCR be considered a gold standard in the diagnosis of COVID-19?

Moustapha Drame et al.

JOURNAL OF MEDICAL VIROLOGY (2020)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Racial and Ethnic Disparities in Disease Severity on Admission Chest Radiographs among Patients Admitted with Confirmed Coronavirus Disease 2019: A Retrospective Cohort Study

Nicholos P. Joseph et al.

RADIOLOGY (2020)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19

Ho Yuen Frank Wong et al.

RADIOLOGY (2020)

Add to Collection

Article Emergency Medicine

National Early Warning Score 2 (NEWS2) on admission predicts severe disease and in-hospital mortality from Covid-19-a prospective cohort study

Marius Myrstad et al.

SCANDINAVIAN JOURNAL OF TRAUMA RESUSCITATION & EMERGENCY MEDICINE (2020)

Add to Collection

Article Medicine, Research & Experimental

Prognostic factors in patients admitted to an urban teaching hospital with COVID-19 infection

Donogh Maguire et al.

JOURNAL OF TRANSLATIONAL MEDICINE (2020)

Add to Collection

Article Multidisciplinary Sciences

Factors contributing to healthcare professional burnout during the COVID-19 pandemic: A rapid turnaround global survey

Luca A. Morgantini et al.

PLOS ONE (2020)

Add to Collection

Article Medicine, General & Internal

Clinical Features and Chest Imaging as Predictors of Intensity of Care in Patients with COVID-19

Elisabetta Cocconcelli et al.

JOURNAL OF CLINICAL MEDICINE (2020)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Chest x-ray severity score in COVID-19 patients on emergency department admission: a two-centre study

Cristian Giuseppe Monaco et al.

EUROPEAN RADIOLOGY EXPERIMENTAL (2020)

Add to Collection

Article Critical Care Medicine

Predicting severe COVID-19 in the Emergency Department

Aleksander Rygh Holten et al.

RESUSCITATION PLUS (2020)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Chest x-ray in the COVID-19 pandemic: Radiologists' real-world reader performance

Andrea Cozzi et al.

EUROPEAN JOURNAL OF RADIOLOGY (2020)

Add to Collection

Article Respiratory System

Utility of established prognostic scores in COVID-19 hospital admissions: multicentre prospective evaluation of CURB-65, NEWS2 and qSOFA

Patrick Bradley et al.

BMJ OPEN RESPIRATORY RESEARCH (2020)

Add to Collection

Article Respiratory System

Severity scoring of lung oedema on the chest radiograph is associated with clinical outcomes in ARDS

Melissa A. Warren et al.

THORAX (2018)

Add to Collection

© Peeref 2019-2024. All rights reserved.