Comparison of the Discrimination Performance of AI Scoring and the Brixia Score in Predicting COVID-19 Severity on Chest X-Ray Imaging: Diagnostic Accuracy Study.

BACKGROUND: The artificial intelligence (AI) analysis of chest x-rays can increase the precision of binary COVID-19 diagnosis. However, it is unknown if AI-based chest x-rays can predict who will develop severe COVID-19, especially in low- and middle-income countries. OBJECTIVE: The study aims to compare the performance of human radiologist Brixia scores versus 2 AI scoring systems in predicting the severity of COVID-19 pneumonia. METHODS: We performed a cross-sectional study of 300 patients suspected with and with confirmed COVID-19 infection in Jakarta, Indonesia. A total of 2 AI scores were generated using CAD4COVID x-ray software. RESULTS: The AI probability score had slightly lower discrimination (area under the curve [AUC] 0.787, 95% CI 0.722-0.852). The AI score for the affected lung area (AUC 0.857, 95% CI 0.809-0.905) was almost as good as the human Brixia score (AUC 0.863, 95% CI 0.818-0.908). CONCLUSIONS: The AI score for the affected lung area and the human radiologist Brixia score had similar and good discrimination performance in predicting COVID-19 severity. Our study demonstrated that using AI-based diagnostic tools is possible, even in low-resource settings. However, before it is widely adopted in daily practice, more studies with a larger scale and that are prospective in nature are needed to confirm our findings.

Medical thoracoscopy with cryobiopsy as diagnostic tool for pleural metastatic in cutaneous squamous cell carcinoma: a rare case report.

Introduction: Distance metastasis of cutaneous squamous cell carcinoma (cSCC) to pleural is rarely reported, and meets difficulties in diagnosing due to quality of pleural biopsy sample. This case presented a novel technique by using cryobiopsy to obtain adequate sample and was first conducted in our hospital. Case presentation: A 62-years-old man admitted to hospital with dyspnoea due to massive right pleural effusion. Lung multi-sliced computed tomography showed right lung pleural effusion with compression atelectasis as well as collapse of medial lobe and upper lobe, multiple solitary nodules on mediastinal, costal antero-posterior and right diaphragm pleural part. Medical thoracoscopy was performed to obtain pleural samples by using cryobiopsy and forceps biopsy. Pathological analysis with Immunohistochemistry (IHC) revealed metastatic squamous cell carcinoma. Discussion: Recurrence rate of cSCC remains high even after treatment, with worse prognosis. Distant metastasis to pleural is rarely reported. Clinical approach for malignant pleural effusion by using medical thoracoscopy has 80% sensitivity with minimal complication. Pleural cryobiopsy is a novel technique used for obtaining sample from pleural biopsy with significant larger size of the specimen, less crush artefacts, fragmented and better tissue integrity, although the diagnostic yield and bleeding severity between cryobiopsy and conventional forceps biopsy are not significant. Conclusion: Medical thoracoscopy with cryobiopsy should be considered as a preferrable diagnostic tool for obtaining better sample specimen, especially for pleural metastatic.

Derivation and validation of novel integrated inpatient mortality prediction score for COVID-19 (IMPACT) using clinical, laboratory, and AI-processed radiological parameter upon admission: a multicentre study.

Limited studies explore the use of AI for COVID-19 prognostication. This study investigates the relationship between AI-aided radiographic parameters, clinical and laboratory data, and mortality in hospitalized COVID-19 patients. We conducted a multicentre retrospective study. The derivation and validation cohort comprised of 512 and 137 confirmed COVID-19 patients, respectively. Variable selection for constructing an in-hospital mortality scoring model was performed using the least absolute shrinkage and selection operator, followed by logistic regression. The accuracy of the scoring model was assessed using the area under the receiver operating characteristic curve. The final model included eight variables: anosmia (OR: 0.280; 95%CI 0.095-0.826), dyspnoea (OR: 1.684; 95%CI 1.049-2.705), loss of consciousness (OR: 4.593; 95%CI 1.702-12.396), mean arterial pressure (OR: 0.928; 95%CI 0.900-0.957), peripheral oxygen saturation (OR: 0.981; 95%CI 0.967-0.996), neutrophil % (OR: 1.034; 95%CI 1.013-1.055), serum urea (OR: 1.018; 95%CI 1.010-1.026), affected lung area score (OR: 1.026; 95%CI 1.014-1.038). The Integrated Inpatient Mortality Prediction Score for COVID-19 (IMPACT) demonstrated a predictive value of 0.815 (95% CI 0.774-0.856) in the derivation cohort. Internal validation resulted in an AUROC of 0.770 (95% CI 0.661-0.879). Our study provides valuable evidence of the real-world application of AI in clinical settings. However, it is imperative to conduct prospective validation of our findings, preferably utilizing a control group and extending the application to broader populations.

Machine learning-based COVID-19 acute respiratory distress syndrome phenotyping and clinical outcomes: A systematic review.

COVID-19-related acute respiratory distress syndrome (CARDS) has been suggested to differ from the typical ARDS. While distinct phenotypes of ARDS have been identified through latent class analysis (LCA), it is unclear whether such phenotypes exist for CARDS and how they affect clinical outcomes. To address this question, we conducted a systematic review of the current evidence.We searched several, including PubMed, EBSCO Host, and Web of Science, from inception to July 1, 2022. Our exposure and outcome of interest were different CARDS phenotypes identified and their associated outcomes, such as 28-day, 90-day, 180-day mortality, ventilator-free days, and other relevant outcomes.We identified four studies comprising a total of 1776 CARDS patients.Of the four studies, three used LCA to identify subphenotypes (SPs) of CARDS. One study based on longitudinal data identified two SPs, with SP2 associated with worse ventilation and mechanical parameters than SP1. The other two studies based on baseline data also identified two SPs, with SP2 and SP1 were associated with hyperinflammatory and hypoinflammatory CARDS, respectively. The fourth study identified three SPs primarily stratified by comorbidities using multifactorial analysis.All studies identified a subphenotype associated with poorer outcomes, including mortality, ventilator-free days, multiple-organ injury, and pulmonary embolism. Two studies reported differential responses to corticosteroids among the SPs, with improved mortality in the hyperinflammatory and worse in the hypoinflammatory SPs.Overall, our review highlights the importance of phenotyping in understanding CARDS and its impact on disease management and prognostication. However, a consensus approach to phenotyping is necessary to ensure consistency and comparability across studies. We recommend that randomized clinical trials stratified by phenotype should only be initiated after such consensus is reached. Short title: COVID-19 ARDS subphenotypes and outcomes.

Case Report: Left atrial myxoma with confirmed Delta variant COVID-19 infection, "to treat or withhold".

Primary cardiac tumors (PCTs) are extremely rare entities. More than half of PCTs are benign, with myxoma being the most common tumor. Generally, simple tumor resection is the treatment of choice for benign PCTs since it has promising results that yield low complication and recurrence rates. However, in the COVID-19 pandemic era, the mitigation protocols and/or concurrent COVID-19 infection should be taken into account in patient management for the best overall outcome. To our knowledge, this is the first case report of a patient with a left atrial myxoma and systemic embolism complication in the form of an ischemic stroke, with a concurrent confirmed COVID-19 delta variant infection.

COVID-19 Associated Pulmonary Aspergillosis: A Case Series.

Coronavirus disease 2019 (COVID-19) has been a worldwide pandemic with several problems, one of which is the lack of definitive treatment. COVID-19-associated pulmonary aspergillosis (CAPA), the presence of invasive pulmonary aspergillosis (IPA) in COVID-19 patients, is one of the concerning secondary infections associated with higher mortality and worse clinical outcomes. Diagnosing CAPA may be challenging due to the possible absence of classic host factors and clinical symptoms or obscured radiological findings. We described two CAPA cases, which were suspected due to persistent respiratory failure despite standard treatment of COVID-19 with additional therapies and antimicrobial agents for secondary infections, eventually diagnosed with serum galactomannan testing. Clinical conditions of both patients improved significantly after the administration of voriconazole. This case series emphasizes the importance of being aware of clinical suspicions indicating CAPA followed by galactomannan testing as a relatively fast, noninvasive test for its diagnosis, which leads to appropriate antifungal treatment.

Confirmed Delta Variant COVID-19 Infection at A Single Centre Tertiary Hospital: A Case Series.

SARS-CoV-2 continues to mutate with the emergence of new variants. Variant B.1.617.2 (Delta) is a variant of concern with evidence of increased transmission, more severe disease, decreased effectiveness of treatment or vaccines, or failure of diagnostic detection. In this article, we report on the clinical and biological picture of the first confirmed delta variant COVID-19 infection in Indonesia. From May 31 to June 17, we identified ten cases with confirmed delta variant COVID-19 infection admitted to a tertiary academic hospital in Jakarta. All subjects that have been vaccinated presented with mild-moderate disease. Most patients present with initial respiratory complaints, without radiological abnormalities on chest x-ray examination, and an increase in C-reactive protein. Seven out of ten patients have been vaccinated; the three patients who had not been vaccinated experienced severe COVID-19 symptoms, two of whom died. Due to the increased transmission of this variant, we recommend vaccination, wearing a mask, and social distancing to reduce the impact of infection with delta variant B.1,617.2.

The Importance of the Timing of Tocilizumab Administration in Moderate to Severely Ill COVID-19: Single Centered Experience Case series.

One of the main causes of death in COVID-19 is the dysregulation of the host's immune system which leads to cytokine storm, a potentially fatal systemic inflammatory syndrome. Interleukin 6 (IL-6) is a pro-inflammatory cytokine that is produced in response to infections and tissue injuries and is believed to play a pivotal role in the event of a cytokine storm, as signified by its increase in the process. Considering the role of IL-6 as a pro-inflammatory cytokine in the process of cytokine storm in COVID-19, perceiving IL-6 as a therapeutic target could prove to be promising. Tocilizumab is a monoclonal antibody that competitively inhibits the binding of IL-6 to its receptor (IL-6R). The use of IL-6R blocker is recommended for severe COVID-19 patients in the latest therapeutic guideline published by the World Health Organization (WHO), but the timing of the administration has not been specified. While previous studies about the use of tocilizumab in COVID-19 patients have shown various results, these studies do not emphasize on plasma IL-6 levels when deciding the time of tocilizumab administration. In this case series, we present three patients with moderate to severe COVID-19 infections that receive tocilizumab as an adjunct to the standard of care therapy. This case series introduces the novel idea that the timely use of tocilizumab as signified by plasma IL-6 levels in moderate to severe COVID-19 patients could potentially improve overall clinical condition and increase survival rate.

Effectiveness of Convalescent Plasma Therapy in Treating COVID-19: an Evidence-based Case Report.

BACKGROUND: Convalescent plasma is a potentially beneficial, tolerable, and available additional treatment option for COVID-19. This study aims to evaluate whether the administration of convalescent plasma therapy leads to improved clinical outcomes in COVID-19 patients compared to standard medical therapy. METHODS: We conducted a search of Pubmed, Cochrane, and EBSCO for studies assessing the clinical question using inclusion and exclusion criteria. Selected studies were critically appraised, and the results were summarized. RESULTS: A meta-analysis of 10 randomized clinical trials (RCTs), an RCT, a case-control clinical study were selected and assessed. Only the case-control clinical study showed that convalescent plasma administration improved the clinical outcomes of patients with COVID-19, including all-cause mortality, hospital length of stay, and the need for mechanical ventilation. On the contrary, the other two studies of a higher level of evidence showed no significant clinical outcome improvement with convalescent plasma therapy. CONCLUSION: The effectiveness of convalescent plasma therapy in improving clinical outcomes of patients with COVID-19 was still inconclusive due to several study limitations and other possible causes.

The COVID-19 surge in Indonesia: what we learned and what to expect.

Through the implementation of a test and trace system, disciplined public health measures, the acceleration of vaccinations, and a genome surveillance programme, LMICs such as Indonesia can prevent future outbreaks and survive the COVID-19 pandemic. https://bit.ly/3JBBSie.

Diagnosing COVID-19: Did We Miss Anything?

In late 2019, a mass of patients showing symptoms of a pneumonia-like disease of unknown origin emerged in Wuhan, China. Little did the world know it was the prelude of what would be a devastating pandemic. Samples were collected from these patients and the use of unbiased sequencing, and subsequent isolation of the pathogen using human airway epithelial cells led to the discovery of a novel coronavirus, named 2019-nCoV by the World Health Organization (WHO) and Severe Acute Respiratory Syndrome CoronaVirus-2 (SARS-CoV-2) by the International Committee on Taxonomy of Viruses. The disease caused by this virus is officially called the coronavirus disease 2019 (COVID-19).

The Importance of Chest CT Scan in COVID-19.

The coronavirus disease 2019 (COVID-19) is a highly transmissible acute respiratory disease that is caused by the Severe Acute Respiratory Syndrome CoronaVirus-2 (SARS-CoV-2), a beta coronavirus first discovered in Wuhan, China, in late 2019. COVID-19 has been spreading swiftly globally, and as of March 2020, has been officially declared a pandemic by the World Health Organization (WHO). One of the challenges in managing COVID-19 is the identification of a swift, accessible, and reliable diagnostic modality that could serve as an alternative to a reverse-transcriptase polymerase chain reaction (RT-PCR). As of the writing of this paper, RT-PCR is still the recommended tool in diagnosing COVID-19, but the notion of a more prompt and accurate diagnostic tool is a possibility worth looking into. The objective of this case study is to investigate the importance and utility of chest computed tomography (CT) in the diagnosis of COVID-19, as increasing pieces of evidence suggest that chest CT could prove useful in the clinical pathway in diagnosing COVID-19.

Role of Quantitative Computed Tomographic Scan Analysis in Lung Volume Reduction for Emphysema.

Recent advances in bronchoscopic lung volume reduction (BLVR) offer new therapeutic alternatives for patients with emphysema and hyperinflation. Endobronchial valves and coils are 2 potential BLVR techniques which have been shown to improve pulmonary function and the quality of life in patients with emphysema. Current patient selection for LVR procedures relies on 3 main inclusion criteria: low attenuation area (in %), also known as emphysema score, heterogeneity score, and fissure integrity score. Volumetric analysis in combination with densitometric analysis of the affected lung lobe or segment with quantitative CT to determine emphysema severity play an important role in treatment planning and post-operative assessment. Due to the variations in lung anatomy, manual corrections are often required to ensure successful and accurate lobe segmentation for pathological and post-treatment CT scan analysis. The advanced development and utilisation of quantitative CT do not simply represent regional changes in pulmonary function but aids in analysis for better patient selection with severe emphysema who are most likely to benefit from BLVR.

Combination of bronchoscopic cryoextraction and argon plasma coagulation in treatment of total central airway obstruction caused by giant blood clot formation in massive airway bleeding.

Life threatening event due to central airway obstruction caused by very large blood clot formation with profuse on going bleeding its very challenging to manage. Interventional pulmonologist must aware about this situation which can lead to respiratory failure. There are several choices to treat this unlikely situation, in example flexible bronchoscopy with forceps, bronchial lavage, and suction. We present a case with post-surgical tracheostomy bleeding which caused a giant blood clot formation in a disseminated intravascular coagulation due to severe sepsis in end stage renal disease patient, successfully managed with cryoextraction and argon plasma coagulation. Combinations of two endobronchial approaches can give a quick, safe and cost effective lifesaving treatment.