Utility of the Brixia CXR score, C-Reactive Protein and Absolute Neutrophil Count in Predicting the Need for Invasive Mechanical Ventilation, Length of Hospital Stay, and Mortality in Moderate to Severe COVID-19 Patients

Background: The Brixia Chest X-ray (CXR) score, C-reactive protein (CRP), and the absolute neutrophil count (ANC) have been useful to predict outcomes in Coronavirus disease 2019 (COVID-19 patients). We studied the utility of the Brixia CXR score, CRP, and ANC in predicting the outcomes in terms of the need for invasive mechanical ventilation, length of stay, and mortality in moderate-severe COVID-19 patients. Material(s) and Method(s): This was a single-centre, retrospective, study on 122 COVID-19 patients. Brixia CXR score, CRP, and ANC on admission to the hospital and the fifth day of hospital stay were noted along with the need for invasive mechanical ventilation (IMV), prolonged length of stay (LOS) >= 14 days, and mortality. Result(s): 122 patients were included for analysis. The median and interquartile range (IQR) for baseline CRP was 81.50 (39-151) mg/L and 11.0 (4-30) mg/L (p < 0.001) on the fifth day. The median and IQR for baseline Brixia score was 10.0 (7-13), and on the fifth day was 7 (4-11) (p <0.001). The receiver operating characteristic curve (ROC) showed that the baseline CRP >= 52.5mg/L predicted both the need for IMV, with an area under the curve (AUC) of 0.628, and prolonged LOS with an AUC of 0.608. The ROC curve depicted that the baseline ANC >8500/muL predicted IMV requirement with an AUC of 0.657. The fifth day CRP >= 32 mg/L, ANC >= 11,000/ muL and Brixia CXR score >= 7 predicted a higher mortality in hospitalized patients. Conclusion(s): Baseline CRP (> 52.5mg/L) predicts the need for IMV and a prolonged LOS, but not mortality. Baseline ANC (> 8500/muL) predicted the need for IMV. CRP, Brixia CXR score, and ANC on the fifth day were not useful to predict LOS or mortality, though there was a significant reduction in CRP and Brixia CXR score on the fifth day compared to baseline after treatment. The fifth day CRP >= 32 mg/L, ANC >= 11,000/ muL and Brixia CXR score >= 7 predicted a higher mortality.Copyright © 2023, College of Anaesthesiologists of Sri Lanka. All rights reserved.

Risk Factors Related to the Death of Admitted COVID-19 Patients: A Buffalo Study

Background: Coronavirus disease 2019 (COVID-19) may result in a severe acute respiratory syndrome that leads to a worldwide pandemic. Despite the increasing understanding of COVID-19 disease, the mortality rate of hospitalized COVID-19 patients remains high. Objective(s): To investigate the risk factors related to the mortality of admitted COVID-19 patients during the peak of the epidemic from August 2021 to October 2021 in Vietnam. Method(s): This is a prospective cohort study performed at the Hospital for Rehabilitation-Professional diseases. The baseline and demographic data, medical history, clinical examination, the laboratory results were recorded for patients admitted to the hospital with confirmed COVID-19. A radiologist and a pulmonologist will read the chest radiographs on admission and calculate the Brixia scores to classify the severity of lung abnormalities. Patients were followed up until beingrecovered or their death. Comparison of clinical and subclinical characteristics between recovery and death groups to find out risk factors related to the death of COVID-19 patients Results: Among 104 admitted COVID-19 patients, men accounted for 42.3%, average age of 61.7 +/- 13.7. The most common symptoms were fever 76.9%, breathlessness 74%, and fatigue 53.8%. The majority (84.6%) of the study population had at least one co-morbidity, including hypertension (53.8%), diabetes (25.9%), gastritis (19.2%), ischemic heart disease (15.4) %), stroke (9.6%) and osteoarthritis (9.6%). The rate of mild and moderate COVID-19 is 13.4%, severe 32.7%, and critical 40.4%. There are 88 inpatients (84.6%) who needed respiratory support. The median hospital stay was 13 days (IQR 10-17.75 days). The rate of intubated patients with mechanical ventilation was 31.7%. The overall mortality rate was 29.8%. Risk factors related to death included Brixia scores > 9, Urea > 7 mmol/L, Ferrtin > 578 ng/ml, Failure to get vaccinated, Age > 60 years, and Low Oxygen SpO2 < 87% (BUFFALO). Conclusion(s): The main result of the study is the independent risk factors related to the death of admitted COVID-19 patients including Brixia scores > 9, Urea > 7 mmol/L, Ferrtin > 578 ng/ml, Failure to get vaccinated, Age > 60 years, and Low Oxygen SpO2 < 87% ((BUFFALO) which suggests that these COVID-19 patients should be closely followed up.Copyright © 2023 Hanha et al.

X-Ray Analysis of Donor Lungs within an Ex Vivo Lung Perfusion System (EVLP): A Pilot Study for the Assessment of the Brixia Score to Predict Transplantability

Background: Ex vivo lung perfusion (EVLP) is a safe and effective technique for lung evaluation and reconditioning of marginal donor lungs (DLs). The assessment of the DLs during EVLP is crucial for the transplantability decision making. There are a limited number of studies regarding the radiographic analysis of EVLP lungs. Furthermore, there are only few Xray grading scores available. The Brixia score is a proven radiological score for the severity grading of lung abnormalities with confirmed predictive power of the clinical outcome that was successfully used in pneumonia patients during the COVID-19 pandemic. It was the aim of our study to evaluate the X-ray findings of DLs within EVLP and investigate the prognostic potential of this score regarding transplantability and clinical outcome. Method(s): This is a retrospective observational pilot study. Between 2016 and 2022, a total of 277 double-lung transplantations (DLTx) were performed in our department. X-Rays of the last ten consecutive EVLP-DLs were blindly evaluated regarding the severity of interstitial and alveolar infiltrates and the Brixia score was calculated. Furthermore, the results (transplantability, severe primary graft dysfunction PGD, survival, hospital stay) and EVLP parameters (delta pO2) of these EVLP-DLs cases were analyzed and compared with the Brixia score for each case. Result(s): A range of Brixia score values from min 4 to max 18 was determined. Seven DLs were transplanted (mean delta pO 391 mm Hg, mean Brixia score 6.7) while three were rejected (mean delta pO 211 mm Hg, mean Brixia score 6). The two EVLP-DLs cases with the higher Brixia score (mean 15) were transplanted after EVLP. Postoperative PGD Grade 3 at 48 hours was recorded in one case without correlation to the Brixia score (Brixia score 4). All patients survived hospital discharge with a mean ICU and hospital stay of 9 and 30 days, respectively. Conclusion(s): In our pilot study, the Brixia score did not predict transplantability or postoperative function during EVLP. Additional studies are needed to further evaluate the use and clinical prognostic power of radiologic assessment with this or other scores in the EVLP lung assessment.

Brixia and qSOFA Scores, Coagulation Factors and Blood Values in Spring versus Autumn 2021 Infection in Pregnant Critical COVID-19 Patients: A Preliminary Study.

(1) Background: From the recent variants of concern of the SARS-CoV-2 virus, in which the delta variant generated more negative outcomes than the alpha, we hypothesized that lung involvement, clinical condition deterioration and blood alterations were also more severe in autumn infection, when the delta variant dominated (compared with spring infections, when the alpha variant dominated), in severely infected pregnant patients. (2) Methods: In a prospective study, all pregnant patients admitted to the ICU of the Elena Doamna Obstetrics and Gynecology Hospital with a critical form of COVID-19 infection-spring group (n = 11) and autumn group (n = 7)-between 1 January 2021 and 1 December 2021 were included. Brixia scores were calculated for every patient: A score, upon admittance; H score, the highest score throughout hospitalization; and E score, at the end of hospitalization. For each day of Brixia A, H or E score, the qSOFA (quick sepsis-related organ failure assessment) score was calculated, and the blood values were also considered. (3) Results: Brixia E score, C-reactive protein, GGT and LDH were much higher, while neutrophil count was much lower in autumn compared with spring critical-form pregnant patients. (4) Conclusions: the autumn infection generated more dramatic alterations than the spring infection in pregnant patients with critical forms of COVID-19. Larger studies with more numerous participants are required to confirm these results.

Radiographic patterns on Chest X-ray as a supporting imaging tool in triaging of suspected Corona Virus Disease (COVID) patients.

Objective: To evaluate the radiographic patterns on Chest X-Ray (CXR) in accordance with Modified Brixia Scoring as supporting imaging tool in triaging of Corona Virus Disease (COVID-19) pneumonia. Methods: In this cross-sectional study, chest radiographs of suspected COVID patients at emergency triage, Lady Reading Hospital (LRH) from April 18th to July 22nd 2020 were evaluated for patterns of COVID pneumonia and scored in accordance with modified Brixia score. Each zone was categorized as score of "one" for interstitial pattern, "two" for mixed interstitial /alveolar pattern and "three" for alveolar pattern. Radiographic patterns consistent with COVID pneumonia or patients having strong clinical suspicion were advised Polymerase Chain Reaction (PCR) tests. Results: Total of 2,225 individuals were screened for patterns of COVID-19 pneumonia on chest radiograph. Out of these 1465(65.8%) had normal chest radiograph and 760(34.2%) had abnormal findings. Out of the total, 648 suspected COVID patients were selected for PCR. The radiographic patterns ranged from mixed interstitial/alveolar pattern in 261(40.3%) patients, alveolar pattern in 231(35.6%), interstitial pattern in 87(13.4%), pleural effusion in 12(1.9%), other findings in 5(0.8%) while 52(8%) suspected Covid patients had normal radiographs. The PCR was positive in 326(50.3%), negative in 100(15.4%) and inconclusive in 60(9.3%) while 162(25%) were lost to follow up. Amongst the 52 suspected Covid patients having normal chest radiographs, 10 were positive on PCR, 21 negative, seven suspected and two inconclusive, while 12 were lost to follow up. Conclusion: Chest radiograph is used for triaging of suspected COVID pneumonia patients in emergency settings. It assesses the severity of disease according to modified Brixia scoring for treatment plan.

Chest X-Ray pattern and lung severity score in COVID-19 patients with diabetes mellitus: A cross sectional study.

Diabetes mellitus is a chronic hyperglycemic condition that can affect the body's immune response to SARS-CoV-2 This study aimed to determine the relationship between diabetes mellitus and lung severity in COVID-19 patients. METHODS: A cross-sectional design was conducted at Hasan Sadikin General Hospital during the January-May 2021 period. Data were based on medical records of patients aged 18 years and over with COVID-19. The chi-square test was performed to assess the relationship between diabetes mellitus and lung severity based on the BRIXIA score. RESULTS: This study included 538 subjects, mostly aged <60 years (71.9%) and female (60.2%). A total of 125 subjects had abnormal blood glucose levels with an average HbA1c of 9.00 ± 1.77% in patients with diabetes mellitus and a median HbA1c of 5.85% (4.5-6.4%) in patients with reactive hyperglycemia. Lung abnormalities were found in 357 subjects (66.4%). The results of the BRIXIA score to assess lung severity found as many as 77 subjects (14.3%) had a score of 11-18 with 14 people with diabetes mellitus, five people with reactive hyperglycemia. In the population aged ≥60 years, as many as 32 people had a score of 11-18 with three people with diabetes mellitus, two with reactive hyperglycemia and 27 with normal blood glucose. A significant relationship was found between diabetes mellitus and lung severity (p = 0.024). CONCLUSION: There is a significant relationship between diabetes mellitus and lung severity in COVID-19 patients aged ≥60 years.

Correlation of Chest X-Ray Scores in SARS-CoV-2 Patients With the Clinical Severity Classification and the Quick COVID-19 Severity Index.

Objectives This study aimed to assess the role of chest X-ray (CXR) scoring methods and their correlations with the clinical severity categories and the Quick COVID-19 Severity Index (qCSI). Methods We conducted a retrospective study of 159 COVID-19 patients who were diagnosed and treated at the University Medical Center between July and September 2021. Chest X-ray findings were evaluated, and severity scores were calculated using the modified CXR (mCXR), Radiographic Assessment of Lung Edema (RALE), and Brixia scoring systems. The three scores were then compared to the clinical severity categories and the qCSI using Spearman's correlation coefficient. Results Overall, 159 patients (63 males and 96 females) (mean age: 58.3 ± 15.7 years) were included. The correlation coefficients between the mCXR score and the Brixia and RALE scores were 0.9438 and 0.9450, respectively. The correlation coefficient between the RALE and Brixia scores was marginally higher, at 0.9625. The correlation coefficients between the qCSI and the Brixia, RALE, and mCXR scores were 0.7298, 0.7408, and 0.7156, respectively. The significant difference in the mean values of the three CXR scores between asymptomatic, mild, moderate, severe, and critical groups was also noted. Conclusions There were strong correlations between the three CXR scores and the clinical severity classification and the qCSI.

Chest X-ray scoring systems as a tool in predicting severity of COVID -19 pneumonia

Background: Even though very useful a routine of CT scan Is not feasible in a pandemic setting due to the large number of patients and lack resources. Therefore if we are able to use chest x-ray scores for assessing the severity of covid-19 pneumonia it could be very useful in taming the pandemic. Methods: A Retrospective study was conducted using data from 118 confirmed cases of covid -19 pneumonia admitted to our hospital from march to august 2021.Chest x-ray of each patient was scored using RALE Score, BRIXIA score and modified chest x-ray score developed at Dr. Soetemo general hospital, Surabaya, Indonesia. These scores were compared with clinical severity of the desease. Results: Among the 118 patients selected 65 (55%) were males and 53(45%) were females. All three scoring systems are significantly correlated with the clinical severity of the disease, with the strengths of correlation in order from the strongest to weakest as rale score (p< 0.01, correlation coefficient 0.865), brixia score (p< 0.01, correlation coefficient 0.852), and Dr. Soetomo General Hospital score (p< 0.01, correlation coefficient 0.804). All three scoring systems correlate significantly with each other. Dr. Soetomo General Hospital score correlates more towards Brixia score (p< 0.01, correlation coefficient 0.808) than RALE score (p< 0.01, correlation coefficient 0.836). Brixia to RALE score correlates with a coefficient of 0.857 (p< 0.01). Conclusion: All the three chest x-ray scoring systems are equally useful for aassesing the severity of COVID-19 pneumonia.

Respiratory outcomes after twelve weeks in patients recovered from COVID-19 managed with non-invasive positive pressure ventilation

Aim: To assess the respiratory outcomes twelve weeks after the management with non-invasive positive pressure ventilation (NIPPV) in patients recovered from severe corona virus disease 2019 (COVID-19). Methodology: The cross-sectional analytical study was conducted in the Department of Pulmonology, Sir Ganga Ram Hospital Lahore between October 2020 and March 2021. Total 124 patients visiting the hospital twelve weeks after recovery from COVID-19 were enrolled using convenience sampling. After excluding patients with a history of previous respiratory symptoms before the development of COVID-19, data from 87 patients who required oxygen >15 L/minute and NIPPV support were subjected to final analysis. Results: The proportion of middle-aged adults was 52.9%, males 64.4% and smokers 49.4%. Twelve weeks after treatment with NIPPV, O2 saturation <97.0% at rest was found in 97.7% patients, PR >100 at rest in 16.1% patients, severe dyspnea in 65.5% patients, O2 dependency >5 L/min in 2.3% patients, severe CXR abnormalities in 20.7% patients and lung fibrosis in 27.6% patients. The distribution of SpO2, PR, and dyspnea status twelve weeks after recovery from severe COVID-19 were not significantly different between NIPPV duration groups (p-value >0.05). However, the number of patients with O2 dependency, severe CXR abnormality, and lung fibrosis were significantly different between NIPPV duration groups (all p-values <0.05). Conclusion: Oxygen desaturation, severe dyspnea and severe CXR abnormalities twelve weeks after the treatment with NIPPV were common among patients recovered from COVID-19. Severe CXR abnormality, lung fibrosis, and O2 dependency were significantly associated with prolonged duration of NIPPV.

Chest X-ray Severity Score as a Putative Predictor of Clinical Outcome in Hospitalized Patients: An Experience From a Vietnamese COVID-19 Field Hospital.

Background Through the coronavirus disease 2019 (COVID-19) pandemic, portable radiography was particularly useful for assessing and monitoring the COVID-19 disease in Vietnamese field hospitals. It provides a convenient and precise picture of the progression of the disease. The purpose of this study was to evaluate the predictive value of chest radiograph reporting systems (Brixia and total severity score (TSS)) and the National Early Warning Score (NEWS) clinical score in a group of hospitalized patients with COVID-19. Methods This retrospective cohort study used routinely collected clinical data from polymerase chain reaction (PCR)-positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) patients admitted to Field Hospital District 8, Ho Chi Minh City, Vietnam, from August 2021 to September 2021. The initial chest radiographs were scored based on the TSS and Brixia scoring systems to quantify the extent of lung involvement. After the chest radiograph score was reported, two residents calculated the rate of all-cause in-hospital mortality with the consultation of expert radiologists. In this study, NEWS2 scores on hospital admission were calculated. The gradient boosting machines (GBMs) and Shapley additive exPlanations (SHAP) were applied to access the important variable and improve the accuracy of mortality prediction. The adjusted odds ratio for predictor was presented by univariate analysis and multivariate analysis. Results The chest X-rays (CXRs) at the admission of 273 patients (mean age 59 years +/-16, 42.1% were male) were scored. In the univariate analysis, age, vaccination status, previous disease, NEWS2, a saturation of peripheral oxygen (Sp02), the Brixia and TSS scores were significant predictors of mortality (p-value < 0.05). In multivariate analysis, there were statistically significant differences in mortality between age, Sp02, Brixia score, and patients with previous diseases were independent predictors of mortality and hospitalization. A gradient boosting machine was performed in the train data set, which showed that the best hyperparameters for predicting the mortality of patients are the Brixia score (exclude TSS score). In the top five predictors, an increase in Brixia, age, and BMI increased the logarithmic number of probability clarifying as death status. Although the TSS and Brixia scores evaluated chest imaging, the TSS score was not essential as the Brixia score (rank 6/11). It was clear that the BMI and NEWS2 score was positively correlated with the Brixia score, and age did not affect this correlation. Meanwhile, we did not find any trend between the TSS score versus BMI and NEWS2. Conclusion When integrated with the BMI and NEWS2 clinical classification systems, the severity score of COVID-19 chest radiographs, particularly the Brixia score, was an excellent predictor of all-cause in-hospital mortality.

Role of Modified RALES and Brixia Scores in Predicting the COVID-19 Positivity among the Suspected Patients: A Cross-sectional Observational Study

Introduction: Computed Tomography (CT) chest plays an important role in triaging and managing patients of suspected COVID-19, especially in those where Coronavirus Disease 2019 (COVID-19) report is pending but CT chest has constraints of availability and cost. Chest X-ray (CXR) is a readily available investigation and is cheaper than a CT chest. Hence, any scoring on CXR which proves to be helpful in triaging and managing suspected COVID-19 patients will alleviate the dependency on CT chest. Modified Radiographic Assessment of Lung Edema Score (mRALES) and Brixia scores have been used to assess severity of disease and prognosis in COVID-19 confirmed cases. However, these two scores have never been used as a method to predict the confirmed COVID-19 pateints among the the suspected COVID-19 cases. Aim: To evaluate the role of mRALES and Brixia score along with clinical and laboratory parameters in predicting confirmed positive cases among suspected COVID-19 patients. Materials and Methods: This retrospective cross-sectional, observational study was conducted in Department of Medicine at Atal Bihari Vajpayee Institute of Medical Sciences (ABVIMS) and Dr. Ram Manohar Lohia Hospital, New Delhi, India, from 1st to 15th December 2020. Case records of patients admitted with severe acute respiratory illness (suspected COVID-19) were accessed and used to fill up a proforma where clinical and laboratory parameters were recorded. Chest radiographs (posteroanterior and anteroposterior) of the patients were evaluated to calculate mRALES and Brixia scores. Sensitivity, specificity, positive preditive value and negative predictive value were calculated. The p-value <0.05 was considered as statistically significant. Results: Out of the 113 patients, 62 were males and 51 females. The COVID-19 positivity rate was 15.04% (n=17). Mean age of patients was 52.64±15.63 years. Overall, the mean mRALES and Brixia scores were not statistically different between suspected (mRALES=3.94±2.51, Brixia=7.29±4.642), and confirmed COVID-19 (mRALES=4.25±2.56, Brixia=7.73±4.84) patients. However, in the subgroup of patients with history of obstructive airway disease, Brixia score was significantly higher among COVID-19 positive patients (7.09±4.70) as compared to COVID-19 suspected patients (0.53±4.31). Presence of low TLC {<9550/mm3 with sensitivity of 70.62%, specificity of 67.3%, Positive Predictive Value (PPV) of 26.7% and Negative Predictive Value (NPV) of 92.4%} and low ANC {< 7580/mm3 with sensitivity of 64.7%, specificity of 63.2%, PPV of 22.9% and NPV of 90.5%} significantly predicted the COVID-19 positivity among the suspected COVID-19 patients. Conclusion: mRALES and Brixia scores on CXR are not significantly different between suspected and confirmed COVID-19 patients and hence, cannot be used to judge who among suspected COVID-19 patients will turn out to be COVID-19 positive later. However, a TLC of less than 9550/ mm3 and an ANC of less than 7580/mm3 can predict COVID-19 positivity among suspected patients.

Early radiological worsening of SARS-CoV-2 pneumonia predicts the need for ventilatory support.

OBJECTIVES: Identifying early markers of poor prognosis of coronavirus disease 2019 (COVID-19) is mandatory. Our purpose is to analyze by chest radiography if rapid worsening of COVID-19 pneumonia in the initial days has predictive value for ventilatory support (VS) need. METHODS: Ambispective observational ethically approved study in COVID-19 pneumonia inpatients, validated in a second outpatient sample. Brixia score (BS) was applied to the first and second chest radiography required for suspected COVID-19 pneumonia to determine the predictive capacity of BS worsening for VS need. Intraclass correlation coefficient (ICC) was previously analyzed among three radiologists. Sensitivity, specificity, likelihood ratios, AUC, and odds ratio were calculated using ROC curves and binary logistic regression analysis. A value of p < .05 was considered statistically significant. RESULTS: A total of 120 inpatients (55 ± 14 years, 68 men) and 112 outpatients (56 ± 13 years, 61 men) were recruited. The average ICC of the BS was between 0.812 (95% confidence interval 0.745-0.878) and 0.906 (95% confidence interval 0.844-0.940). According to the multivariate analysis, a BS worsening per day > 1.3 points within 10 days of the onset of symptoms doubles the risk for requiring VS in inpatients and 5 times in outpatients (p < .001). The findings from the second chest radiography were always better predictors of VS requirement than those from the first one. CONCLUSION: The early radiological worsening of SARS-CoV-2 pneumonia after symptoms onset is a determining factor of the final prognosis. In elderly patients with some comorbidity and pneumonia, a 48-72-h follow-up radiograph is recommended. KEY POINTS: • An early worsening on chest X-ray in patients with SARS-CoV-2 pneumonia is highly predictive of the need for ventilatory support. • This radiological worsening rate can be easily assessed by comparing the first and the second chest X-ray. • In elderly patients with some comorbidity and SARS-CoV-2 pneumonia, close early radiological follow-up is recommended.

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

INTRODUCTION: The management of COVID-19 patients requires efficiency and accuracy in methods of detection, identification, monitoring, and treatment feasible in every hospital. Aside from clinical presentations and laboratory markers, chest x-ray imaging could also detect pneumonia caused by COVID-19. It is also a fast, simple, cheap, and safe modality used for the management of COVID-19 patients. Established scoring systems of COVID-19 chest x-ray imaging include Radiographic Assessment of Lung Edema (RALE) and Brixia classification. A modified scoring system has been adopted from BRIXIA and RALE scoring systems and has been made to adjust the scoring system needs at Dr. Soetomo General Hospital, Indonesia. This study aims to determine the value of scoring systems through chest x-ray imaging in evaluating the severity of COVID-19. METHODS: Data were collected from May to June of 2020 who underwent chest x-ray evaluation. Each image is then scored using three types of classifications: modified score, RALE score, and Brixia score. The scores are then analyzed and compared with the clinical conditions and laboratory markers to determine their value in evaluating the severity of COVID-19 infection in patients. RESULTS: A total of 115 patients were males (51.1%) and 110 were females (48.9%). All three scoring systems are significantly correlated with the clinical severity of the disease, with the strengths of correlation in order from the strongest to weakest as Brixia score (p<0.01, correlation coefficient 0.232), RALE score (p<0.01, correlation coefficient 0.209), and Dr. Soetomo General Hospital score (p<0.01, correlation coefficient 0.194). All three scoring systems correlate significantly with each other. Dr. Soetomo General Hospital score correlates more towards Brixia score (p<0.01, correlation coefficient 0.865) than RALE score (p<0.01, correlation coefficient 0.855). Brixia to RALE score correlates with a coefficient of 0.857 (p<0.01). CONCLUSION: The modified scoring system can help determine the severity of the disease progression in COVID-19 patients especially in areas with shortages of facilities and specialists.

Comprehensive literature review on the radiographic findings, imaging modalities, and the role of radiology in the COVID-19 pandemic.

Since the outbreak of the coronavirus disease 2019 (COVID-19) pandemic, over 103214008 cases have been reported, with more than 2231158 deaths as of January 31, 2021. Although the gold standard for diagnosis of this disease remains the reverse-transcription polymerase chain reaction of nasopharyngeal and oropharyngeal swabs, its false-negative rates have ignited the use of medical imaging as an important adjunct or alternative. Medical imaging assists in identifying the pathogenesis, the degree of pulmonary damage, and the characteristic features in each imaging modality. This literature review collates the characteristic radiographic findings of COVID-19 in various imaging modalities while keeping the preliminary focus on chest radiography, computed tomography (CT), and ultrasound scans. Given the higher sensitivity and greater proficiency in detecting characteristic findings during the early stages, CT scans are more reliable in diagnosis and serve as a practical method in following up the disease time course. As research rapidly expands, we have emphasized the CO-RADS classification system as a tool to aid in communicating the likelihood of COVID-19 suspicion among healthcare workers. Additionally, the utilization of other scoring systems such as MuLBSTA, Radiological Assessment of Lung Edema, and Brixia in this pandemic are reviewed as they integrate the radiographic findings into an objective scoring system to risk stratify the patients and predict the severity of disease. Furthermore, current progress in the utilization of artificial intelligence via radiomics is evaluated. Lastly, the lesson from the first wave and preparation for the second wave from the point of view of radiology are summarized.

Is chest X-ray severity scoring for COVID-19 pneumonia reliable?

PURPOSE: To explore whether chest X-ray severity scoring (CX-SS) could be reliable to assess the severity of pulmonary parenchymal disease in COVID-19 patients. MATERIAL AND METHODS: The study consisted of 325 patients whose COVID-19 was confirmed by RT-PCR test and who underwent chest X-ray and computed tomography (CT) studies to assess parenchymal disease severity. Only 195 cases included in the final analysis after exclusion of cases with previous chest disease and cases having more than 24 hours interval between their X-ray and CT chest studies. Both chest X-ray and CT severity scores (CT-SS) were recorded by 2 experienced radiologists and were compared to the clinical severity. Interobserver agreement was assessed for CX-SS and CT-SS. RESULTS: In relation to the clinical severity, the sensitivity of the CX-SS for diagnosis of moderate to severe parenchymal disease was high (90.4% and 100%) and low for mild cases (66.2%), while the specificity was high for mild to moderate parenchymal disease (100%) compared to severe cases (86.7%). The sensitivity, specificity, and diagnostic accuracy of the CT-SS were higher than CX-SS. Pearson correlation coefficient demonstrated a strong positive correlation between CX-SS and CT-SS (rs = 0.88, p < 0.001). The inter-observer agreement for CX-SS was good (k = 0.79, p = 0.001), and it was excellent for CT-SS (k = 0.85, p = 0.001). CONCLUSIONS: CX-SS is reliable to assess the severity of COVID-19 pulmonary parenchymal disease, especially in moderate and severe cases, with the tendency of overestimation of severe cases.