Chest CT as a Prognostic Tool in COVID-19

Canan, Mariane Gonçalves Martynychen; Sokoloski, Caroline Souza; Dias, Vitor Loureiro; Andrade, João Mario Clementin de; Basso, Ana Carolina Nicoletti; Chomiski, Carolina; Escuissato, Dante L.; Andrade, Itsem Campos; Vaz, Izabele Cristine; Stival, Rebecca Saray Marchesini; Storrer, Karin Mueller

doi:10.1016/j.arbres.2022.02.006

Cited by 3 publications

(3 citation statements)

References 20 publications

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“…These patterns were found to be closely associated with clinical outcomes, with ground glass opacities being the most commonly found pattern and having a higher incidence of death compared to other patterns. The findings of this study are important for the management of COVID-19 patients, as they can help in the early identification of patients at high risk of mortality and the initiation of appropriate treatment [19,20]. The study also highlights the importance of CT chest scans in the diagnosis and management of COVID-19 patients.…”

Section: Discussionmentioning

confidence: 73%

Lung Involvement Patterns in COVID-19: CT Scan Insights and Prognostic Implications From a Tertiary Care Center in Southern India

Balasubramaniam,

Raju,

Perumpallipatty Kumarasamy

et al. 2024

Cureus

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BackgroundCOVID-19, caused by the SARS-CoV-2 virus, has presented an unparalleled challenge and a profound learning curve globally. Among the myriad of investigative tools, CT scans of the chest have become instrumental in assessing the magnitude of lung involvement in the pathogenesis of this disease. ObjectivesThis study aimed to evaluate the distribution and patterns of lung involvement depicted in the CT chest scans of COVID-19 patients admitted to a specialized tertiary care center located in a southern state of India. MethodsWith clearance secured from the Institutional Ethics Committee, an analytical cross-sectional study was conducted. It encompassed CT chest images from all symptomatic COVID-19 patients within the designated study center during the specified study timeline. Subsequent data analysis ensued. ResultsAmong the 1066 COVID-19 patients evaluated, ground-glass opacities (GGO) were the predominant lung involvement pattern. Distinct patterns, such as GGOs combined with solid consolidation or atelectasis, were noted, with the highest mortality linked to GGOs paired with pneumomediastinum (PM). Data underscored a direct correlation between the extent of lung involvement and patient prognosis, with specific lung regions, namely the right apical, right posterior, right superior basal, left superior lingular, and left inferior lingular segments, showing frequent involvement. ConclusionAmidst the pandemic, our study emphasizes that ground-glass opacities on CT scans are robust indicators of COVID-19 in RT-PCR-positive patients. Early identification can enhance patient management, with findings highlighting a strong link between lung involvement and prognosis. This insight aids in refining patient triage, while further research is warranted to delve deeper into variations in lung involvement and guide treatment advancements.

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Section: Discussionmentioning

confidence: 73%

Lung Involvement Patterns in COVID-19: CT Scan Insights and Prognostic Implications From a Tertiary Care Center in Southern India

Balasubramaniam,

Raju,

Perumpallipatty Kumarasamy

et al. 2024

Cureus

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“…High-resolution computed tomography (HRCT) has demonstrated high level of accuracy for diagnosing and monitoring COVID-19 pneumonia [6][7][8], but it has several limitations in clinical practice due to reduced availability, high-cost, radiation exposure and need for patient transfer.…”

Section: Introductionmentioning

confidence: 99%

Serial lung ultrasound in monitoring viral pneumonia: the lesson learned from COVID-19

Clofent,

Culebras,

Felipe-Montiel

et al. 2023

ERJ Open Res

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BackgroundLung ultrasound (LUS) has proven to be useful in the evaluation of lung involvement in COVID-19. However, the effectiveness for predicting the risk of severe disease is still at debate. The aim of the study was to establish the prognostic accuracy of serial LUS examinations in the prediction of clinical deterioration in COVID-19 hospitalized patients.MethodsProspective single-center cohort study of patients hospitalized for COVID-19. The study protocol consisted of a LUS examination within 24 h from admission and a follow-up examination on day 3 of hospitalization. Lung involvement was evaluated by a fourteen-area LUS score. The primary endpoint was the ability of LUS to predict clinical deterioration defined as need for intensive respiratory support with high-flow oxygen or invasive mechanical ventilation.ResultsTwo hundred patients were included and 35 (17.5%) of them reached the primary endpoint and were transferred to ICU. The LUS score at admission had been significantly higher in the ICU group than in the non-ICU group [22 (IQR 20–26)versus12 (IQR 8–15)]. A LUS score at admission ≥17 showed to be the best cut-off point to discriminate patients with risk of deterioration (AUC 0.95). The absence of progression in LUS score on day 3, significantly increased the prediction accuracy by ruling out deterioration with a negative predictive value of 99.29%.ConclusionSerial LUS is a reliable tool in predicting the risk of respiratory deterioration in patients hospitalized due to COVID-19 pneumonia. LUS could be further implemented in the future for risk stratification of viral pneumonia.

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“…Em nosso estudo, encontramos uma mortalidade maior (24%), porém nossa avaliação começou após este período (28 de junho de 2020), abrangendo 1 ano de acompanhamento e incluindo o período mais crítico da pandemia que foi em 2021. Com relação ao tempo médio que estes pacientes ficaram internados, encontramos uma média de 8 dias com AIQ:(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17). Em outros estudos, a média foi um pouco maior, tal como12 dias (DIAS VMCH, et al, 2020) e 10 dias (SANTOS PSA, et al, 2021).…”

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Perfil epidemiológico dos atendimentos na unidade de urgência e emergência de um hospital de ensino durante a pandemia da COVID-19

Queiroz,

Storrer,

Miranda

et al. 2023

Acervo Saúde

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Objetivo: Conhecer as características dos pacientes acometidos pela COVID-19 (GC) comparando com o perfil dos pacientes CLÍNICOS não COVID (GCNC) atendidos na unidade de emergência (UUE), durante a pandemia da COVID-19. Métodos: Estudo observacional transversal realizado na UUE, no período de julho de 2020 a junho de 2021. Para comparações entre os grupos GC e GCNC foram utilizados os testes t de Student e Mann-Whitney. Resultados: Foram avaliados 7590 pacientes no período, dos quais 50% eram do sexo feminino e 63% tinham idade entre 50-89 anos. A maioria dos pacientes necessitou internação (84,2%), mas o tempo de permanência foi maior entre os pacientes GC (8 dias) em relação aos pacientes GCNC (5 dias) (p<0,0001). A tomografia foi o exame mais solicitado o para o CG (55,4% versus 36,9%, p<0,001). A análise de mortalidade entre os grupos demonstrou índices mais elevados no GC quando comparado ao GCNC (22% versus 10,1%, p<0,001) sendo que o pico de óbitos do CG ocorreu em março de 2021. Conclusão: A análise dos atendimentos, demonstrou que os pacientes com COVID-19, ficaram mais tempo internados e morreram mais que os pacientes não COVID. Entretanto, estas taxas foram semelhantes à de países com melhor renda per capta.

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Chest CT as a Prognostic Tool in COVID-19

Cited by 3 publications

References 20 publications

Lung Involvement Patterns in COVID-19: CT Scan Insights and Prognostic Implications From a Tertiary Care Center in Southern India

Lung Involvement Patterns in COVID-19: CT Scan Insights and Prognostic Implications From a Tertiary Care Center in Southern India

Serial lung ultrasound in monitoring viral pneumonia: the lesson learned from COVID-19

Perfil epidemiológico dos atendimentos na unidade de urgência e emergência de um hospital de ensino durante a pandemia da COVID-19

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