Detection and Classification of Pneumonia Using Deep Learning by the Dense Net-121 Model

A chronic respiratory disease known as pneumonia can be devastating if it is not identified and treated in a timely manner. For successful treatment and better patient outcomes, pneumonia must be identified early and properly classified. Deep learning has recently demonstrated considerable promise in the area of medical imaging and has successfully applied for a few image-based diagnosis tasks, including the identification and classification of pneumonia. Pneumonia is a respiratory illness that produces pleural effusion (a condition in which fluids flood the lungs). COVID-19 is becoming the major cause of the global rise in pneumonia cases. Early detection of this disease provides curative therapy and increases the likelihood of survival. CXR (Chest X-ray) imaging is a common method of detecting and diagnosing pneumonia. Examining chest X-rays is a difficult undertaking that often results in variances and inaccuracies. In this study, we created an automatic pneumonia diagnosis method, also known as a CAD (Computer-Aided Diagnosis), which may significantly reduce the time and cost of collecting CXR imaging data. This paper uses deep learning which has the potential to revolutionize in the area of medical imaging and has shown promising results in the detection and classification of pneumonia. Further research and development in this area is needed to improve the accuracy and reliability of these models and make them more accessible to healthcare providers. These models can provide fast and accurate results, with high sensitivity and specificity in identifying pneumonia in chest X-rays. © 2023 IEEE.

Late complications of the new coronavirus infection: a clinical case.

According to the literature, exudative pleurisy and pericarditis are considered rare complications of the new coronavirus infection. This estimation can be explained by the fact that statistical studies cover mainly the hospital treatment of this disease. The true frequency of these complications and their consequences are not fully understood. Aim. The study of late complications of the new coronavirus infection in the form of pleurisy and pericarditis. Conclusion. In our case, a 62-year-old patient with the new coronavirus infection confirmed by polymerase chain reaction, severe bilateral polysegmental viral pneumonia, CT3, 60% on day 43 after the onset of clinical symptoms, was found to have manifestations of pleurisy and pericarditis during outpatient treatment. Cardiac MRI is the most informative method for detecting small pericardial and pleural effusions. The diagnostic capabilities of this method are superior to ultrasounography of the heart and pleural cavities and computed tomography of the lungs. Administration of colchicine 1.0 g per day for 1 month allowed not only to the elimination of pericarditis and pleurisy, but also the reduction of pressure in the right ventricle, probably by reducing the damage to the pulmonary parenchyma.Copyright © Chepurnenko S.A. et al., 2023.

High Fever, Wide Distribution of Viral Pneumonia, and Pleural Effusion are More Critical Findings at the First Visit in Predicting the Prognosis of COVID-19: A Single Center, retrospective, Propensity Score-Matched Case-Control Study.

Introduction: Currently, infection control measures for SARS-COV2 are being relaxed, and it is important in daily clinical practice to decide which findings to focus on when managing patients with similar background factors. Methods: We retrospectively evaluated 66 patients who underwent blood tests (complete blood count, blood chemistry tests, and coagulation tests) and thin slice CT between January 1 and May 31, 2020, and performed a propensity score-matched case-control study. Cases and controls were a severe respiratory failure group (non-rebreather mask, nasal high-flow, and positive-pressure ventilation) and a non-severe respiratory failure group, matched at a ratio of 1:3 by propensity scores constructed by age, sex, and medical history. We compared groups for maximum body temperature up to diagnosis, blood test findings, and CT findings in the matched cohort. Two-tailed P-values <0.05 were considered statistically significant. Results: Nine cases and 27 controls were included in the matched cohort. Significant differences were seen in maximum body temperature up to diagnosis (p=0.0043), the number of shaded lobes (p=0.0434), amount of ground-glass opacity (GGO) in the total lung field (p=0.0071), amounts of GGO (p=0.0001), and consolidation (p=0.0036) in the upper lung field, and pleural effusion (p=0.0117). Conclusion: High fever, the wide distribution of viral pneumonia, and pleural effusion may be prognostic indicators that can be easily measured at diagnosis in COVID-19 patients with similar backgrounds.

Diagnostic utility of LDH measurement for determining the etiology of modified transudate pleural effusion in cats.

Fluid analysis is an initial approach for determining the underlying causes of body cavity effusions. Modified transudate is commonly diagnosed in pleural effusion in cats, however, it provides limited diagnostic information. Aims of this study were to investigate common etiologies causing different pleural fluid types and to evaluate the usefulness of lactate dehydrogenase (LDH) for differentiating the etiology in modified transudates in cats. Pleural effusion samples from 122 cats were analyzed and classified into three types: transudate, modified transudate, and exudate. Causes of pleural effusion were classified into four conditions: cardiac disease, neoplasia, feline infectious peritonitis (FIP), and pyothorax. The relationship of underlying etiology and fluid types was described. The LDH levels in pleural fluid and plasma were compared between the causes in the samples classified as modified transudate. The fluid analysis of pleural effusion showed that modified transudate was the most common fluid type (44.2%). Neoplasia was predominantly diagnosed (38.5%) as the etiology of pleural effusion. There was no significant correlation between pleural fluid and plasma LDH level in any type of pleural fluid, suggesting that pleural fluid LDH does not appear to be affected by plasma LDH. The occurrence of modified transudate was not associated to its etiologies, however, the LDH level in modified transudates showed significant differences between etiologic groups. The LDH level in modified transudate was excellent in separating cardiac from non-cardiac diseases with a cut-off value of <535 U/L and separating FIP from non-FIP diseases with a cut-off value of >641 U/L. Based on the current findings, pleural fluid LDH can be a useful adjunctive marker for differentiating some causes of modified transudate pleural effusion and should be added in the routine diagnostic work-up of feline patients with pleural effusions.

Lung Ultrasound in Critical Care and Emergency Medicine: Clinical Review.

Lung ultrasound has become a part of the daily examination of physicians working in intensive, sub-intensive, and general medical wards. The easy access to hand-held ultrasound machines in wards where they were not available in the past facilitated the widespread use of ultrasound, both for clinical examination and as a guide to procedures; among point-of-care ultrasound techniques, the lung ultrasound saw the greatest spread in the last decade. The COVID-19 pandemic has given a boost to the use of ultrasound since it allows to obtain a wide range of clinical information with a bedside, not harmful, repeatable examination that is reliable. This led to the remarkable growth of publications on lung ultrasounds. The first part of this narrative review aims to discuss basic aspects of lung ultrasounds, from the machine setting, probe choice, and standard examination to signs and semiotics for qualitative and quantitative lung ultrasound interpretation. The second part focuses on how to use lung ultrasound to answer specific clinical questions in critical care units and in emergency departments.

Pulmonary ct manifestations of COVID-19: changes within 2 weeks duration from presentation

BackgroundCoronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Chest computed tomography (CT) plays an essential role in the evaluation of COVID-19. This retrospective study aims to determine and compare the pulmonary changes in Iraqi patients with COVID-19 disease across the first two weeks after onset of symptoms using computerized tomography (CT) scan.Ninety-six patients with COVID-19 disease were enrolled in this study. Patients were divided into two groups according to the duration of symptoms (the first group has been scanned within the first week of presentation while the second group has been scanned in the second week).ResultsThe CT findings in the first and second group were as follows: ground glass opacity (GGO) were 94.3% vs. 88.5%, consolidation were 25.7% vs. 34.6%, broncho vascular thickening were 18.6% vs. 7.7%, crazy paving appearance were 15.7% vs. 3.8%, tree-in-bud appearance were 4.3% vs. 10.7%, pulmonary nodules were 5.1% vs. 7.7%, and bronchiectasis were 5.5% vs. 7.7%. Pleural effusion and cavitation were seen only in the first group (2.9% and 1.4% respectively).The distribution of CT changes across the two groups were as follows: bilateral changes were 85.7% vs. 100%;central distribution were 11.4% vs. 11.5%;peripheral distribution were 64.3% vs. 42.3%, and diffuse (central and peripheral) distribution were 24.3% vs. 46.2% while multilobar distribution were 70% vs. 80.8%.ConclusionThe type, extent, and distributions of pulmonary manifestations associated with COVID-19 infection are significantly different between the two groups who have been scanned in different stages of the disease.

Late complications of the new coronavirus infection: a clinical case.

According to the literature, exudative pleurisy and pericarditis are considered rare complications of the new coronavirus infection. This estimation can be explained by the fact that statistical studies cover mainly the hospital treatment of this disease. The true frequency of these complications and their consequences are not fully understood. Aim. The study of late complications of the new coronavirus infection in the form of pleurisy and pericarditis. Conclusion. In our case, a 62-year-old patient with the new coronavirus infection confirmed by polymerase chain reaction, severe bilateral polysegmental viral pneumonia, CT3, 60% on day 43 after the onset of clinical symptoms, was found to have manifestations of pleurisy and pericarditis during outpatient treatment. Cardiac MRI is the most informative method for detecting small pericardial and pleural effusions. The diagnostic capabilities of this method are superior to ultrasounography of the heart and pleural cavities and computed tomography of the lungs. Administration of colchicine 1.0 g per day for 1 month allowed not only to the elimination of pericarditis and pleurisy, but also the reduction of pressure in the right ventricle, probably by reducing the damage to the pulmonary parenchyma.Copyright © Chepurnenko S.A. et al., 2023.

Comparative study of CT-scan modality with MRI modality findings in patients suspected of COVID-19

BackgroundCT-scan and MRI are both best of radiologic modalities with different advantages and disadvantages. In this study, we aimed to evaluate and compare the features of COVID-19 pneumonia in these two modalities. Fifty-three suspected COVID-19 patients who presented to our emergency ward underwent chest CT and, once various features of COVID-19 pneumonia were identified, a dedicated multi-sequence chest MRI was performed on the same day with an institutional protocol. Demographic data and the morphology, laterality and location of the lesions were recorded for each case.ResultsThirty-seven males and sixteen females with the mean age of 47.49 ± 13.86 years old were present in this case series. Fifty-one cases had typical CT features with ground glass opacities and consolidations, readily visible on different MRI sequences. Thirteen cases had atelectasis which were also easily seen on MRI. The comprehensive review of MRI features for each case and representative images has been illustrated.ConclusionWe can suggest MRI as an alternative choice of CT-scan for diagnosis COVID-19 pneumonia according to the revealed results, it can be a logical choice in the suspected cases.

Black pleural effusion caused by a pancreaticopleural fistula secondary to chronic alcoholic pancreatitis exacerbation accompanying COVID-19.

Pancreaticopleural fistula should be considered in alcohol abusers with pleural effusion, which can exhibit a black color.

Pleuropulmonary Manifestations of Vacuoles, E1 Enzyme, X-Linked, Autoinflammatory, Somatic Syndrome.

BACKGROUND: The vacuoles, E1 enzyme, X-linked, autoinflammatory, somatic (VEXAS) syndrome is a newly identified autoinflammatory disorder related to somatic UBA1 mutations. Up to 72% of patients may show lung involvement. RESEARCH QUESTION: What are the pleuropulmonary manifestations in VEXAS syndrome? STUDY DESIGN AND METHODS: One hundred fourteen patients were included in the French cohort of VEXAS syndrome between November 2020 and May 2021. Each patient included in the study who had an available chest CT scan was discussed in an adjudication multidisciplinary team and classified as showing potentially pleuropulmonary-specific involvement of VEXAS syndrome or others. RESULTS: Fifty-one patients had a CT scan available for review and 45 patients (39%) showed pleuropulmonary abnormalities on chest CT scan that were considered related to VEXAS syndrome after adjudication. Most patients were men (95%) with a median age 67.0 years at the onset of symptoms. Among these 45 patients, 44% reported dyspnea and 40% reported cough. All 45 patients showed lung opacities on chest CT scan (including ground-glass opacities [87%], consolidations [49%], reticulation [38%], and septal lines [51%]) and 53% of patients showed pleural effusion. Most patients showed improvement with prednisone, but usually required > 20 mg/d. The main clinical and biological features as well the median survival did not differ between the 45 patients with pleuropulmonary involvement and the rest of the cohort, suggesting that the prevalence of pleuropulmonary involvement might have been underdiagnosed in the rest of the cohort. INTERPRETATION: Pulmonary manifestations are frequent in VEXAS syndrome, but rarely are at the forefront. The initial outcome is favorable with prednisone and does not seem to lead to pulmonary fibrosis.

Clinical and radiological imaging as prognostic predictors in COVID-19 patients

BackgroundSince the announcement of COVID-19 as a pandemic infection, several studies have been performed to discuss the clinical picture, laboratory finding, and imaging features of this disease. The aim of this study is to demarcate the imaging features of novel coronavirus infected pneumonia (NCIP) in different age groups and outline the relation between radiological aspect, including CT severity, and clinical aspect, including age, oxygen saturation, and fatal outcome. We implemented a prospective observational study enrolled 299 laboratory-confirmed COVID-19 patients (169 males and 130 females;age range = 2–91 years;mean age = 38.4 ± 17.2). All patients were submitted to chest CT with multi-planar reconstruction. The imaging features of NCIP in different age groups were described. The relations between CT severity and age, oxygen saturation, and fatal outcome were evaluated.ResultsThe most predominant CT features were bilateral (75.4%), posterior (66.3%), pleural-based (93.5%), lower lobe involvement (89.8%), and ground-glass opacity (94.7%). ROC curve analysis revealed that the optimal cutoff age that was highly exposed to moderate and severe stages of NCIP was 38 years old (AUC = 0.77, p < 0.001). NCIP was noted in 42.6% below 40-year-old age group compared to 84% above 40-year-old age group. The CT severity was significantly related to age and fatal outcome (p < 0.001). Anterior, centrilobular, hilar, apical, and middle lobe involvements had a significant relation to below 90% oxygen saturation. A significant negative correlation was found between CT severity and oxygen saturation (r = − 0.49, p < 0.001). Crazy-paving pattern, anterior aspect, hilar, centrilobular involvement, and moderate and severe stages had a statistically significant relation to higher mortality.ConclusionThe current study confirmed the value of CT as a prognostic predictor in NCIP through demonstration of the strong relation between CT severity and age, oxygen saturation, and the fatal outcome. In the era of COVID-19 pandemic, this study is considered to be an extension to other studies discussing chest CT features of COVID-19 in different age groups with demarcation of the relation of chest CT severity to different pattern and distribution of NCIP, age, oxygen saturation, and mortality rate.

Meta-analysis: COVID-19 diagnosis in chest CT—master key for radiologists

BackgroundCOVID-19 was discovered in February in China. Due to the high prevalence of the disease, early detection and rapid isolation of patients are the vital points for controlling the outbreak. The purpose of this study was to determine the correct location of chest CT scan in the diagnosis of COVID-19.Main textThe current study is a systematic review and meta-analysis. 2959 papers were found in all national and international databases. The study has been reported based on the PRISMA checklist. All analyses were done by CMA Ver. 2 software. The statistical analysis results show that the GGO observation level in the available shape was 46% in CT scan results, and the consolidation observation level in the general form was 33% in CT scan results. Pleural effusion was 7%, and linear opacity observation level was 24% in CT scan results in the general form. The CT scan test sensitivity level was gained 94.7%, and PCR test sensitivity level was achieved as 94.8%. This level was 89% in the early stage.ConclusionThe chest CT has about 24% higher diagnostic sensitivity than the PCR test, in the early stage. GGO revealed a declining process and also indicates that GGO is an early symptom of the disease in CT scan. Linear opacity is the reason behind the initial dyspnea in coronavirus suffering patients referring to the medical centers. The extra-pulmonary lesions increase in the last stage of the disease that makes the patient's worse.

Spectrum of atypical pulmonary manifestations of COVID-19 on computed tomography

BackgroundThe typical CT manifestations of COVID-19 pneumonia include ground-glass opacity (GGO) with or without consolidation and superimposed interlobular septal thickening. These are often rounded in morphology and frequently bilateral, multilobar, posterior, peripheral, and basilar in distribution. The various atypical CT features of COVID-19 are seldom described in the literature. The study aims to enumerate the atypical pulmonary CT features in patients with COVID-19 pneumonia in correlation with the disease severity.ResultsA total of 298 confirmed cases of COVID-19 pneumonia with positive reverse transcription polymerase chain reaction (RT-PCR) who underwent chest CT scans were retrospectively evaluated. The cohort included 234 (78.5%) men and 64 (21.5%) women and the mean age was 53.48 ± 15.74 years. The most common presenting symptoms were fever [n = 197 (66.1%)] and cough [n = 139 (46.6%)]. Out of 298 cases of COVID-19 pneumonia, 218 cases (73.1%) showed typical CT features while 63 cases (21.1%) showed atypical CT features with concurrent classical findings and the remaining 17 cases (5.8%) were normal. Among the atypical CT features, the most common was pulmonary cysts [n = 27 (9%)]. The other features in the order of frequency included pleural effusion [n = 17 (5.7%)], nodules [n = 13 (4.3%)], bull's eye/target sign[n = 4 (1.3%)], cavitation [n = 3 (1.0%)], spontaneous pneumothorax [n = 2 (0.6%)], hilar lymphadenopathy [n = 2 (0.6%)], spontaneous pneumo-mediastinum with subcutaneous emphysema [n = 1 (0.3%)], Halo sign [n = 1 (0.3%)], empyema [n = 1 (0.3%)] and necrotizing pneumonia with abscess [n = 1 (0.3%)].ConclusionCT imaging features of COVID-19 pneumonia while in a vast majority of cases is classical, atypical diverse patterns are also encountered. A comprehensive knowledge of various atypical presentations on imaging plays an important role in the early diagnosis and management of COVID-19.

Homoeopathic treatment of a diabetic COVID-19 patient with the complication of bronchitis and pleural effusion - A case report

Introduction: COVID-19 is a novel SARS-CoV-2 disease that has caused a worldwide pandemic. It is highly contagious and produces severe acute respiratory syndrome. Many homoeopathic medicines have been suggested for treatment of COVID cases and reports have also been published. Case Summary: The present case report is of a 61-year-old COVID-positive, male, presenting with complications such as bronchitis and pleural effusion. He was treated for COVID-19 with a suitable homoeopathic medicine, based on the totality of symptoms, while the patient continued his regular regime of conventional medicine for diabetes mellitus and hypertension. The indicated remedy led to immediate relief of the symptoms, especially chest pain, along with a marked improvement in the laboratory investigations. The Modified Naranjo Criteria score after treatment was 8, which explicitly shows the positive causal attribution of the individualised homoeopathic medicine, Phosphorus, in this case. Homoeopathic treatment has shown favourable results in this case and demonstrates the scope of Homoeopathy in infectious cases. © 2022 The authors.

Role of chest radiograph in MERS-Cov pneumonia: a single tertiary referral center experience in the United Arab Emirates

BackgroundThe Middle East respiratory syndrome coronavirus (MERS-Cov) continues to be a source of concern due to intermittent outbreaks. Serial chest radiographic changes in MERS-Cov patients were analyzed for various variables that could be compared to the patients' final outcomes in a cluster of MERS-Cov patients and to identify a predictor of mortality in the United Arab Emirates.ResultsA total of 44 MERS-Cov cases were reviewed. The mean age of the patients was 43.7 ± 14.7 years. The chest radiograph was abnormal in 14/44 (31.8%). The commonest radiology features include ground-glass opacities (seven of 14, 50%), ground-glass and consolidation (seven of 14, 50%), pleural effusion (eight of 14, 57.1%), and air bronchogram (three of 14, 21.4%). The mortality rate was 13.6% (six of 44);the deceased group (6 of 44, 13.6%) was associated with significantly higher incidence of mechanical ventilation (p < 0.001), pleural effusion (p < 0.001), chest radiographic score (8.90 ± 6.31, p < 0.001), and type 4 radiographic progression of disease (p < 0.001). A chest radiographic score at presentation was seen to be an independent and strong predictor of mortality (OR [95% confidence interval] 3.20 [1.35, 7.61]). The Cohen κ coefficient for the interobserver agreement was k = 0.89 (p = 0.001).ConclusionThe chest radiographic score, associated with a higher degree of disease progression (type 4), particularly in patients with old age or with comorbidity, may indicate a poorer prognosis in MERS-Cov infection, necessitating intensive care unit management or predicting impending death.

The Impact of Diabetes Mellitus on the Course of COVID-19 Pneumonia

For this purpose, we compared the demographic characteristics, symptoms, and signs of the disease, laboratory parameters, computerized tomography(CT) findings, and some data about the clinical course of the disease between two patient groups. Of 125 study participants, while 100 constituted the non-diabetic control group, 25 were grouped as the case or patient group diagnosed with DM. [...]in order to rule out the effects of other comorbidities, those with additional comorbidities were not included in both groups. The inclusion criteria were composed of the following: 1- Being over 18 years of age, 2- The determination of SARS-CoV-2 through the reverse transcription-polymerase chain reaction (RT-PCR) test taken from the respiratory tract swabs based on the guidelines of The Turkish Ministry of Health meeting the definition of probable cases, 3- The existence of significant involvement in chest tomography suggesting Covid-19 pneumonia, 4- No additional diseases other than DM in the case group with DM, 5- No additional diseases in the control group without DM, For patients' respiratory tract samples, the oropharyngeal swab samples were first taken and then the nasal samples were obtained using the same swab under the guidelines by The Turkish Ministry of Health. Among the laboratory parameters examined in the study, there was a statistically significant difference between both groups in terms of the values of gamma-glutamyl transferase (GGT), Creactive protein (CRP), white blood cell (WBC) count, neutrophil count, mean platelet volume (MPV), D-dimer and albumin.

Proposal to protect patients and healthcare professionals undergoing elective surgery during COVID-19 outbreak

BackgroundThe aim of this study was to investigate the reliability of COVID-19 Reporting and Data System (CO-RADS) scale on chest computerized tomography (CT) in addition to the reverse transcriptase-polymerase chain reaction (RT-PCR) test in diagnosis of COVID-19 on patients who will undergo elective surgery to protect patients and healthcare professionals during the intense pandemic period and the correlation between CO-RADS scale and Total Severity Score (TSS). During the intensive pandemic until normalization, 253 patients aged ≥ 18 years who underwent elective surgery with two negative RT-PCR results within the last 5 days and CO-RADS scale ≤ 3 on chest CT were included in the study. Demographic characteristics, American Society of Anesthesiologists classification, type of anesthesia and surgery, department of clinic, chest CT findings, scale of CO-RADS and TSS on CT, patients' postoperative hospital stay, follow-up time, and vital status (whether or not COVID-19 disease) at the hospital and discharge information were collected for each patient.ResultsThe most frequently calculated CO-RADS score was found to be 1 (73.1%). It was followed by scale of CO-RADS 2 (20.9%). Regarding TSS, the most common TSS for the right and left lungs was 0 (91.7% and 92.5%, respectively). COVID-19 was not detected in any of the patients who were hospitalized for an average of 4.9 ± 6.4 days and followed-up for an average of 14.3 ± 8.2 days. It was observed that the CO-RADS score and TSS were positively and moderately correlated with each other (p < 0.001).ConclusionIt was concluded that in early diagnostic of COVID-19, chest CT scans serve like a complementary diagnostic method in addition to RT-PCR testing to keep safe both the patients and health professionals and the scale of CO-RADS and TSS on CT are valuable in correlation with each other.

Can initial chest CT scan predict status and clinical outcomes of COVID-19 infection? A retrospective cohort study

BackgroundWe aimed to investigate the association of initial chest CT scan findings with status and adverse outcomes of COVID-19 (including ICU admission, mortality, and disease severity).This retrospective cohort study was performed in three hospitals in Babol, northern Iran, between February and March 2020. Cases were confirmed by real-time polymerase chain reaction (RT-PCR). Clinical and paraclinical data of the patients were collected from their medical records. CT severity score (CSS) was calculated by a senior radiologist. Disease severity was determined based on the World Health Organization criteria.ResultsIn total, 742 patients were included, of whom 451 (60.8%) were males and 291 (39.2%) were females. The mean age was 56.59 ± 14.88 years old. Also, 523 (70.5%) were RT-PCR-positive. Ground glass opacity was directly associated with RT-PCR positivity (odds ratio [OR] = 2.07). Also, RT-PCR-positive cases had significantly a higher CSS than RT-PCR-negative cases (p = 0.037). In patients confirmed with COVID-19, peribronchovascular distribution of lesions, number of zones involved, and CSS were associated with increased risk of ICU admission (OR = 2.93, OR = 2.10, and OR = 1.14, respectively), mortality (OR = 2.30, OR = 1.35, and OR=1.08, respectively), severe disease (OR = 2.06, OR = 1.68, and OR = 1.10, respectively), and critical disease (OR = 4.62, OR = 3.21, and OR = 1.23, respectively). Also, patients who had consolidation were at a higher risk of severe disease compared with those who did not (OR = 4.94).ConclusionInitial chest CT scan can predict COVID-19 positivity, ICU admission, mortality, and disease severity, specifically through CSS.