scholarly journals Predictors of COVID-19 Infection: A Prevalence Study of Hospitalized Patients

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Huilan Tu ◽  
Hong Zhao ◽  
Junwei Su ◽  
Wenrui Wu ◽  
Kaijin Xu ◽  
...  
Keyword(s):  
Ct Imaging ◽  
Chest Ct ◽  
Hospitalized Patients ◽  
Prevalence Study ◽  
Nucleic Acid Detection ◽  
Bilateral Involvement ◽  
Resource Limited ◽  
Laboratory Test Results ◽  
Independent Risk Factors ◽  
Exposure History

Aim. To find the predictors of coronavirus disease 2019 (COVID-19) in hospitalized patients. Methods. A prevalence study compared the characteristics of COVID-19 patients with non-COVID-19 patients from January 19, 2020, to February 18, 2020, during the COVID-19 outbreak. Laboratory test results and pulmonary chest imaging of confirmed COVID-19 and non-COVID-19 patients were collected by retrieving medical records in our center. Results. 96 COVID-19 patients and 122 non-COVID-19 patients were enrolled in this study. COVID-19 patients were older (53 vs. 39; P  < 0.001) and had higher body mass index (BMI) than non-COVID-19 group (24.21 ± 3.51 vs. 23.00 ± 3.27, P  = 0.011); however, differences in gender were not observed between the two groups. Logistic regression analysis showed that exposure history (OR: 23.34, P  < 0.001), rhinorrhea (odds radio (OR): 0.12, P  = 0.006), alanine aminotransferase (ALT) (OR: 1.03, P  = 0.049), lactate dehydrogenase (LDH) (OR: 1.01, P  = 0.020), lymphocyte (OR: 0.27, P  = 0.007), and bilateral involvement on chest CT imaging (OR: 23.01, P  < 0.001) were independent risk factors for COVID-19. Moreover, bilateral involvement on chest CT imaging (AUC = 0.904, P  < 0.001) had significantly higher AUC than others in predicting COVID-19. Conclusions. Exposure history, elevated ALT and LDH, absence of rhinorrhea, lymphopenia, and bilateral involvement on chest CT imaging provide robust evidence for the diagnosis of COVID-19, especially in resource-limited conditions where nucleic acid detection is not readily available.

scholarly journals The role of CT imaging for management of COVID-19 in epidemic area: early experience from a University Hospital

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Vikram rao Bollineni ◽  
Koenraad Hans Nieboer ◽  
Seema Döring ◽  
Nico Buls ◽  
Johan de Mey
Keyword(s):  
Ct Scan ◽  
Predictive Value ◽  
Ct Imaging ◽  
Chest Ct ◽  
University Hospital ◽  
Rt Pcr ◽  
Ct Findings ◽  
Epidemic Area ◽  
Chest Ct Scan ◽  
Pcr Test

Abstract Background To evaluate the clinical value of the chest CT scan compared to the reference standard real-time polymerase chain reaction (RT-PCR) in COVID-19 patients. Methods From March 29th to April 15th of 2020, a total of 240 patients with respiratory distress underwent both a low-dose chest CT scan and RT-PCR tests. The performance of chest CT in diagnosing COVID-19 was assessed with reference to the RT-PCR result. Two board-certified radiologists (mean 24 years of experience chest CT), blinded for the RT-PCR result, reviewed all scans and decided positive or negative chest CT findings by consensus. Results Out of 240 patients, 60% (144/240) had positive RT-PCR results and 89% (213/240) had a positive chest CT scans. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of chest CT in suggesting COVID-19 were 100% (95% CI: 97–100%, 144/240), 28% (95% CI: 19–38%, 27/240), 68% (95% CI: 65–70%) and 100%, respectively. The diagnostic accuracy of the chest CT suggesting COVID-19 was 71% (95% CI: 65–77%). Thirty-three patients with positive chest CT scan and negative RT-PCR test at baseline underwent repeat RT-PCR assay. In this subgroup, 21.2% (7/33) cases became RT-PCR positive. Conclusion Chest CT imaging has high sensitivity and high NPV for diagnosing COVID-19 and can be considered as an alternative primary screening tool for COVID-19 in epidemic areas. In addition, a negative RT-PCR test, but positive CT findings can still be suggestive of COVID-19 infection.

scholarly journals CORONARY CALCIFICATION IS COMMON AND MAY BE UNDER-REPORTED ON NON-GATED CHEST CT IMAGING

2015 ◽  
Vol 65 (10) ◽  
pp. A1473
Author(s):  
Revathi Balakrishnan ◽  
Brian Nguyen ◽  
Roy Raad ◽  
Robert Donnino ◽  
David Naidich ◽  
...  
Keyword(s):  
Coronary Calcification ◽  
Ct Imaging ◽  
Chest Ct

scholarly journals Potential Drug–Drug Interactions with Antimicrobials in Hospitalized Patients: A Multicenter Point-Prevalence Study

2018 ◽  
Vol 24 ◽  
pp. 4240-4247
Author(s):  
Ferit Kuscu ◽  
Aslihan Ulu ◽  
Ayse S. Inal ◽  
Bedia M. Suntur ◽  
Hande Aydemir ◽  
...  
Keyword(s):  
Drug Interactions ◽  
Hospitalized Patients ◽  
Point Prevalence ◽  
Prevalence Study ◽  
Potential Drug ◽  
Point Prevalence Study

scholarly journals Risk Factors and Outcomes of Hospital Acquired Pneumonia in Young Bangladeshi Children

Life ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1030
Author(s):  
Abu Sadat Mohammad Sayeem Bin Shahid ◽  
Tahmina Alam ◽  
Lubaba Shahrin ◽  
K. M. Shahunja ◽  
Md. Tanveer Faruk ◽  
...  
Keyword(s):  
Risk Factors ◽  
Severe Acute Malnutrition ◽  
Multivariate Logistic Regression Analysis ◽  
Acute Malnutrition ◽  
Persistent Diarrhea ◽  
Multivariate Logistic Regression ◽  
Resource Limited ◽  
Hospital Acquired Pneumonia ◽  
Independent Risk Factors ◽  
Hospital Acquired

Hospital acquired pneumonia (HAP) is common and often associated with high mortality in children aged five or less. We sought to evaluate the risk factors and outcome of HAP in such children. We compared demographic, clinical, and laboratory characteristics in children <5 years using a case control design during the period of August 2013 and December 2017, where children with HAP were constituted as cases (n = 281) and twice as many randomly selected children without HAP were constituted as controls (n = 562). HAP was defined as a child developing a new episode of pneumonia both clinically and radiologically after at least 48 h of hospitalization. A total of 4101 children were treated during the study period. The mortality was significantly higher among the cases than the controls (8% vs. 4%, p = 0.014). In multivariate logistic regression analysis, after adjusting for potential confounders, it was found that persistent diarrhea (95% CI = 1.32–5.79; p = 0.007), severe acute malnutrition (95% CI = 1.46–3.27; p < 0.001), bacteremia (95% CI = 1.16–3.49; p = 0.013), and prolonged hospitalization of >5 days (95% CI = 3.01–8.02; p < 0.001) were identified as independent risk factors for HAP. Early identification of these risk factors and their prompt management may help to reduce HAP-related fatal consequences, especially in resource limited settings.

scholarly journals A Comparative Study on the Clinical Features of Coronavirus 2019 (COVID-19) Pneumonia With Other Pneumonias

2020 ◽  
Vol 71 (15) ◽  
pp. 756-761 ◽  
Author(s):  
Dahai Zhao ◽  
Feifei Yao ◽  
Lijie Wang ◽  
Ling Zheng ◽  
Yongjun Gao ◽  
...  
Keyword(s):  
Clinical Features ◽  
Clinical Symptoms ◽  
Severe Pneumonia ◽  
Ground Glass Opacity ◽  
Chest Ct ◽  
Rt Pcr ◽  
Bilateral Involvement ◽  
Radiological Features ◽  
History Of ◽  
Novel Coronavirus

Abstract Background A novel coronavirus (COVID-19) has raised world concern since it emerged in Wuhan, China in December 2019. The infection may result in severe pneumonia with clusters of illness onsets. Its impacts on public health make it paramount to clarify the clinical features with other pneumonias. Methods Nineteen COVID-19 and 15 other patients with pneumonia (non-COVID-19) in areas outside of Hubei were involved in this study. Both COVID-19 and non-COVID-19 patients were confirmed to be infected using throat swabs and/or sputa with/without COVID-2019 by real-time RT-PCR. We analyzed the demographic, epidemiological, clinical, and radiological features from those patients, and compared the differences between COVID-19 and non-COVID-19. Results All patients had a history of exposure to confirmed cases of COVID-19 or travel to Hubei before illness. The median (IQR) duration was 8 (6–11) and 5 (4–11) days from exposure to onset in COVID-19 and non-COVID-19 cases, respectively. The clinical symptoms were similar between COVID-19 and non-COVID-19. The most common symptoms were fever and cough. Fifteen (78.95%) COVID-19 but 4 (26.67%) non-COVID-19 patients had bilateral involvement while 17 COVID-19 patients (89.47%) but 1 non-COVID-19 patient (6.67%) had multiple mottling and ground-glass opacity on chest CT images. Compared with non-COVID-19, COVID-19 presents remarkably more abnormal laboratory tests, including AST, ALT, γ-GT, LDH, and α-HBDH. Conclusions The COVID-19 infection has onsets similar to other pneumonias. CT scan may be a reliable test for screening COVID-19 cases. Liver function damage is more frequent in COVID-19 than non-COVID-19 patients. LDH and α-HBDH may be considerable markers for evaluation of COVID-19.

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