Evaluation of clinico–Radiological profile and correlation with ultrasonography of the chest in coronavirus disease 2019 pneumonia

Bhandari, Sudhir; Singh, Ajeet; Bagarhatta, Meenu; Rankawat, Govind; Dube, Amitabh; Kakkar, Shivankan; Tak, Amit

doi:10.4103/injms.injms_55_20

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…Mean age was 41.23 years (± 17.52), which is comparable to the report of Hu and co-authors (mean age 39.2 years + 9.6) from Wuhan, China. 17 The male gender preponderance of this study is in agreement with the published studies of Lomoro et al and Bhandari et al 18,19 The reduced susceptibility of females to COVID-19 infection could be due to the protection from X-chromosome and sex hormones, providing innate and adaptive immunity. 20 In this study, 126 patients (53.16%) were above the age of 50 years, indicating that this age can be a relative risk factor for COVID-19 pulmonary disease.…”

Section: Discussionsupporting

confidence: 91%

Diagnostic value of Transthoracic Ultrasonography for COVID-19 Pneumonia: A Prospective Study

Qureshi¹,

Bilal²,

Sajid³

et al. 2020

J Islamabad Med Dental Coll

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Background: Corona virus infection requires early detection and precise diagnosis for an effective control in community. COVID-19 PCR is the gold standard diagnostic test having low sensitivity and adequate availability constraints. Because of high false negative rate, a large number of undetected patients remain a constant source of inadvertent disease dissemination in the community. This study was conducted to explore the diagnostic usefulness of transthoracic ultrasonography for COVID-19 pneumonia during the current pandemic. Material and Methods: This cross-sectional study was conducted in the Pulmonology OPD of Gulab Devi Teaching Hospital, Lahore-Pakistan from April 1, 2020 to July 30, 2020. A total of 237 patients with dry cough, fever and shortness of breath of sudden onset, clinically diagnosed as COVID-19 pulmonary infection, were included in the study. Patients were investigated with chest x-ray/HRCT, transthoracic ultrasonography, COVID-19 RT-PCR on nasopharyngeal samples and hematological tests. Sensitivity, Specificity, PPV (positive predictive value), NPV (negative predictive value) and diagnostic accuracy of transthoracic ultrasonography was calculated with P-value <0.05 considered as statistically significant. SPSS-26 software was used for statistical analysis. Results: Of the total 237 patients (mean age 41.23±17.5 years) presenting with complaints of a pulmonary infection, 228 were diagnosed as COVID-19 pulmonary infection by transthoracic ultrasonography and PCR. Bilateral lesions and B-lines were the most frequent characteristic features on ultrasonography (n=237 patients; 100%). Transthoracic ultrasound diagnosed 228 patients as cases of COVID-19 pneumonia with 100% sensitivity, 66.67% specificity, 98.7% PPV, 100% NPV, and 98.73% diagnostic accuracy. Only 135 /228 (59.21%) patients were diagnosed by RT-PCR. The P-value by Fisher exact test was highly significant at 0.001 (cut-off P- value < 0.05). Conclusion: Transthoracic ultrasonography is a useful diagnostic tool with a high sensitivity, is free- from radiation exposure and capable of providing foundations for evidence based, early detection of corona virus pneumonia in a pandemic situation.

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Section: Discussionsupporting

confidence: 91%

Diagnostic value of Transthoracic Ultrasonography for COVID-19 Pneumonia: A Prospective Study

Qureshi¹,

Bilal²,

Sajid³

et al. 2020

J Islamabad Med Dental Coll

View full text Add to dashboard Cite

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“…[4][5][6][7] Such models have potential in disease management as well as preventive protocols that are cost-effective that can help optimum allocation of resources to manage the disease. [8][9][10][11][12][13][14] An econometric model has been proposed in the present study to predict and extrapolate the transmission of COVID-19. The model makes use of autoregressive integrated moving average modelling on the epidemiological dataset of COVID-19.…”

Section: Data Acquisitionmentioning

confidence: 99%

Indian COVID-19 dynamics: Prediction using autoregressive integrated moving average modelling

Tak¹,

Dia²,

Dia³

et al. 2021

Scripta Medica

Self Cite

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Background: The forecasting of Coronavirus Disease-19 (COVID-19) dynamics is a centrepiece in evidence-based disease management. Numerous approaches that use mathematical modelling have been used to predict the outcome of the pandemic, including data-driven models, empirical and hybrid models. This study was aimed at prediction of COVID-19 evolution in India using a model based on autoregressive integrated moving average (ARIMA). Material and Methods: Real-time Indian data of cumulative cases and deaths of COVID-19 was retrieved from the Johns Hopkins dashboard. The dataset from 11 March 2020 to 25 June 2020 (n = 107 time points) was used to fit the autoregressive integrated moving average model. The model with minimum Akaike Information Criteria was used for forecasting. The predicted root mean square error (PredRMSE) and base root mean square error (BaseRMSE) were used to validate the model. Results: The ARIMA (1,3,2) and ARIMA (3,3,1) model fit best for cumulative cases and deaths, respectively, with minimum Akaike Information Criteria. The prediction of cumulative cases and deaths for next 10 days from 26 June 2020 to 5 July 2020 showed a trend toward continuous increment. The PredRMSE and BaseRMSE of ARIMA (1,3,2) model were 21,137 and 166,330, respectively. Similarly, PredRMSE and BaseRMSE of ARIMA (3,3,1) model were 668.7 and 5,431, respectively. Conclusion: It is proposed that data on COVID-19 be collected continuously, and that forecasting continue in real time. The COVID-19 forecast assist government in resource optimisation and evidence-based decision making for a subsequent state of affairs.

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“…43 This method improves proprioception by reflexively activating the muscles of respiration, improving chest expansion and pulmonary function. 44 11. Single breath and count.…”

Section: Case Presentationmentioning

confidence: 99%

Musculoskeletal symptoms in COVID-19 and physiotherapy role: Literature review and case study

Zedan

2024

Benha International Journal of Physical Therapy

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Coronavirus disease 2019 in humans is a fatal respiratory disorder caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It started and suddenly rose in Wuhan, China, then became a pandemic affecting many areas worldwide. 1,2 COVID-19 symptoms include elevated temperature, dry coughing, sputum production, breathlessness, hypoxemia, itchy throat, headache, chills, vomiting, nasal blockage, diffuse alveolar damage, hemoptysis, smell and taste disturbances, conjunctival congestion, dysphagia, and symptoms of the neuropsychological and musculo-skeletal systems. [2][3][4] Among the musculo-skeletal symptoms are muscle and joint aches, muscle weakness, fatigue, back pain, and sarcopenia. 5 About ¾ and 2/5 of the patients had at least one of these symptoms at 3 and 6 months, respectively. 6 However, studies to assess, treat, or rehabilitate the disability resulting from symptoms of the musculoskeletal system are lacking, and the authors of previous studies recommend performing further studies in this regard. 7

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Evaluation of clinico–Radiological profile and correlation with ultrasonography of the chest in coronavirus disease 2019 pneumonia

Cited by 5 publications

References 4 publications

Diagnostic value of Transthoracic Ultrasonography for COVID-19 Pneumonia: A Prospective Study

Diagnostic value of Transthoracic Ultrasonography for COVID-19 Pneumonia: A Prospective Study

Indian COVID-19 dynamics: Prediction using autoregressive integrated moving average modelling

Musculoskeletal symptoms in COVID-19 and physiotherapy role: Literature review and case study

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