scholarly journals Modified Chest X-Ray Scoring System in Evaluating Severity of COVID-19 Patient in Dr. Soetomo General Hospital  Surabaya, Indonesia

2021 ◽  
Vol Volume 14 ◽  
pp. 2407-2412
Author(s):  
Rosy Setiawati ◽  
Anita Widyoningroem ◽  
Triwulan Handarini ◽  
Fierly Hayati ◽  
Agnes Triana Basja ◽  
...  
Keyword(s):  
General Hospital ◽  
Scoring System ◽  
X Ray ◽  
Chest X Ray

scholarly journals Efficacy of chest X-ray in the diagnosis of COVID-19 pneumonia: comparison with computed tomography through a simplified scoring system designed for triage

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Akın Çinkooğlu ◽  
Selen Bayraktaroğlu ◽  
Naim Ceylan ◽  
Recep Savaş
Keyword(s):  
Computed Tomography ◽  
Intensive Care ◽  
Intensive Care Units ◽  
Scoring System ◽  
Imaging Modality ◽  
Ground Glass Opacity ◽  
Initial Presentation ◽  
X Ray ◽  
Chest X Ray

Abstract Background There is no consensus on the imaging modality to be used in the diagnosis and management of Coronavirus disease 2019 (COVID-19) pneumonia. The purpose of this study was to make a comparison between computed tomography (CT) and chest X-ray (CXR) through a scoring system that can be beneficial to the clinicians in making the triage of patients diagnosed with COVID-19 pneumonia at their initial presentation to the hospital. Results Patients with a negative CXR (30.1%) had significantly lower computed tomography score (CTS) (p < 0.001). Among the lung zones where the only infiltration pattern was ground glass opacity (GGO) on CT images, the ratio of abnormality seen on CXRs was 21.6%. The cut-off value of X-ray score (XRS) to distinguish the patients who needed intensive care at follow-up (n = 12) was 6 (AUC = 0.933, 95% CI = 0.886–0.979, 100% sensitivity, 81% specificity). Conclusions Computed tomography is more effective in the diagnosis of COVID-19 pneumonia at the initial presentation due to the ease detection of GGOs. However, a baseline CXR taken after admission to the hospital can be valuable in predicting patients to be monitored in the intensive care units.

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

2020 ◽  
Author(s):  
Roberto Maroldi ◽  
Paolo Rondi ◽  
Giorgio Maria Agazzi ◽  
Marco Ravanelli ◽  
Andrea Borghesi ◽  
...  
Keyword(s):  
Patient Outcome ◽  
Scoring System ◽  
Clinical Decision Making ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Lung Involvement ◽  
X Ray ◽  
Entire Cohort ◽  
Discharged Patients ◽  
Chest X Ray

Abstract Objective We aim to demonstrate that a chest X-ray (CXR) scoring system for COVID-19 patients correlates with patient outcome and has a prognostic value. Methods This retrospective study included CXRs of COVID-19 patients that reported the Brixia score, a semi-quantitative scoring system rating lung involvement from 0 to 18. The highest (H) and lowest (L) values were registered along with scores on admission (A) and end of hospitalization (E). The Brixia score was correlated with the outcome (death or discharge). Results A total of 953 patients met inclusion criteria. In total, 677/953 were discharged and 276/953 died during hospitalization. A total of 524/953 had one CXR and 429/953 had more than one CXR. H-score was significantly higher in deceased (median, 12; IQR 9–14) compared to that in discharged patients (median, 8; IQR 5–11) (p < 0.0001). In 429/953 patients with multiple CXR, A-score, L-score, and E-score were higher in deceased than in discharged patients (A-score 9 vs 8; p = 0.039; L-score 7 vs 5; p < 0.0003; E-score 12 vs 7; p < 0.0001). In the entire cohort, logistic regression showed a significant predictive value for age (p < 0.0001, OR 1.13), H-score (p < 0.0001, OR 1.25), and gender (p = 0.01, male OR 1.67). AUC was 0.863. In patients with ≥ 2 CXR, A-, L-, and E-scores correlated significantly with the outcome. Cox proportional hazards regression indicated age (p < 0.0001, HR 4.17), H-score (< 9, HR 0.36, p = 0.0012), and worsening of H-score vs A score > 3 (HR 1.57, p = 0.0227) as associated with worse outcome. Conclusions The Brixia score correlates strongly with disease severity and outcome; it may support the clinical decision-making, particularly in patients with moderate-to-severe signs and symptoms. The Brixia score should be incorporated in a prognostic model, which would be desirable, particularly in resource-constraint scenarios. Key Points • To demonstrate the importance of the Brixia score in assessing and monitoring COVID-19 lung involvement. • The Brixia score strongly correlates with patient outcome and can be easily implemented in the routine reporting of CXR.

scholarly journals Coronavirus Disease 2019 Outbreak: Use of a Chest X-ray Scoring System and Evaluation of the Radiologic Findings

2021 ◽  
Vol 6 (4) ◽  
pp. 325-330
Author(s):  
Aslı Tanrıvermiş Sayit ◽  
◽  
Çetin Çelenk ◽  
Şeyma Genç ◽  
◽  
...  
Keyword(s):  
Scoring System ◽  
X Ray ◽  
Radiologic Findings ◽  
Chest X Ray

STUDY THE CHANGE OF HIGH-SENSITIVE TROPONIN T CONCENTRATION IN CHILDREN HEART FAILURE AT PEDIATRIC DEPARTMENT OF BINH DINH GENERAL HOSPITAL

2014 ◽  
pp. 48-54
Author(s):  
Van Khanh Luong ◽  
Hung Viet Phan
Keyword(s):  
Heart Failure ◽  
General Hospital ◽  
Troponin T ◽  
High Sensitivity ◽  
Ventricular Dilatation ◽  
Pediatric Department ◽  
X Ray ◽  
Significant Difference ◽  
Chest X Ray ◽  
High Sensitivity Troponin T

Objective: Search the relationship between concentration of high-sensitivity Troponin T with the degree of heart failure, and some changes on chest X-ray and echocardiography. Patients and Methods: based on 44 pediatric patients who were diagnosed heart failure at Pediatric Department of Binh Dinh General Hospital, from 4/2012 -3/2013. Results: Hs-Troponin T concentrations increased in 79.5% of patients had heart failure with a median of 30.2 pg/ml and quartile is 14.6 to 64.5. There is significant difference statistically hs-Troponin T levels according to age of patients with p<0.01. There is a very closely positive relationship between the hs-Troponin T concentration with the degree of heart failure (rs = 0.80, p<0.01). There is a moderate positive correlation between the hs-Troponin T concentration with ventricular dilatation (rs = 0.34, p<0.05). There is no correlation between the hs-Troponin T concentration with changes on chest X-ray. Conclusion: There is statistically significant relationship between the hs-Troponin T concentration with the degree of heart failure and ventricular dilatation on echocardiography. Key words: Troponin T, heart failure, echocardiography

scholarly journals Brixia Chest X-ray Scoring System in Critically Ill Patients with COVID-19 Pneumonia for Determining Outcomes

2021 ◽  
Author(s):  
Nishant Agrawal ◽  
Samruddhi Dhanaji Chougale ◽  
Prashant Jedge ◽  
Shivakumar Iyer ◽  
John Dsouza
Keyword(s):  
Scoring System ◽  
Early Stage ◽  
Tertiary Care ◽  
Categorical Variables ◽  
P Value ◽  
Care Hospital ◽  
X Ray ◽  
Lung Abnormalities ◽  
Chest X Ray ◽  
The Mean

Introduction: In early stage of disease of Coronavirus Disease 2019 (COVID-19) infection chest Computed Tomography (CT) imaging is considered as the most effective method for detecting lung abnormalities. A Brixia Chest X-ray (CXR) scoring system which uses an 18-point severity scale to grade lung abnormalities due to COVID-19 was developed to improve the risk stratification for infected patients. Aim: To ascertain the validity of Brixia scoring system and to measure the outcome in COVID-19 patients. Materials and Methods: A retrospective study was conducted from 1st April 2020 to 31st July 2020, at a tertiary care hospital in India. Baseline CXR of COVID-19 patients were scored based on Brixia scoring system. The lungs were divided into six equal zones. Subsequently, scores (from 0-3) were assigned to each zone, based on lung abnormalities. A group comparison was implemented using Chi-Square test for categorical variables. Whereas an independent t-test was applied for continuous variables that followed normal distribution. Results: The study included 130 patients. The mean age was 57.09±13.73 years, 70.8% patients included were males. Out of 130 patients, 79 patients died. Among patients who died the mean CXR score was calculated to be 12.13±2.50. The mean CXR score was calculated to be 11.18±2.30 in patients who recovered and got discharged. During the process of comparison of CXR scores with the outcomes, the t-value came out to be 2.20 and the resulting p-value was 0.03 (statistically significant). Conclusion: Brixia score more than 12 was associated with increased mortality due to COVID-19, with p-value of 0.03.

scholarly journals The various prognostic scoring system used for predicting COVID-19 mortality

2021 ◽  
Vol 8 (9) ◽  
pp. 4611
Author(s):  
Khaled Mohamed Elsharkawy ◽  
Mohammed Abdulaziz Aljawi ◽  
Hani Helal Alhassani ◽  
Sadeen Essam Ezzat ◽  
Ziad Abdulmoti Alruwaithi ◽  
...  
Keyword(s):  
Scoring System ◽  
Severe Disease ◽  
Scoring Systems ◽  
Medical Attention ◽  
C Reactive Protein ◽  
X Ray ◽  
Reactive Protein ◽  
X Ray Imaging ◽  
Chest X Ray ◽  
Prognostic Scoring Systems

The widespread pandemic of Coronavirus disease 2019 (COVID-19) has been reported to affect most countries all over the world, and burden all of the affected healthcare systems. COVID-19 has first emerged in December 2019 within the district of Wuhan which is located in China. Many prognostic scoring systems have been developed to predict severe disease and death for patients with COVID-19. In this literature review, the aim to discuss the various prognostic scoring system used for predicting COVID-19 mortality. It has mainly approached the prognostic scoring systems in two main ways: The clinical and biochemical ways. In addition, the research also investigates the chest X-ray imaging findings based on scoring systems for predicting mortality for patients with COVID-19. Many scoring systems have been reported based on the biochemical and clinical parameters as age, D-dimer, presence of comorbidities, procalcitonin, C-reactive protein (CRP) and other features. Some of the reported scoring systems were recently developed in the COVID-19 pandemic while others were just modified based on the fact that patients with COVID-19 are critically ill, and usually require the same medical attention as other conditions. These scoring systems should be considered by clinicians to early predict and intervene against severe COVID-19 that might cause death. As for the imaging modalities, we have also reported many of the reported systems in the literature, including the ones that are based on chest computed tomography and X-ray findings, and are discussed in detail within this study.

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