Browsing by Author "Bennett, Christopher L."

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    Clinical prediction rule for SARS-CoV-2 infection from 116 U.S. emergency departments 2-22-2021
    (PloS, 2021-03) Kline, Jeffrey A.; Camargo, Carlos A.; Courtney, D. Mark; Kabrhel, Christopher; Nordenholz, Kristen E.; Aufderheide, Thomas; Baugh, Joshua J.; Beiser, David G.; Bennett, Christopher L.; Bledsoe, Joseph; Castillo, Edward; Chisolm-Straker, Makini; Goldberg, Elizabeth M.; House, Hans; House, Stacey; Jang, Timothy; Lim, Stephen C.; Madsen, Troy E.; McCarthy, Danielle M.; Meltzer, Andrew; Moore, Stephen; Newgard, Craig; Pagenhardt, Justine; Pettit, Katherine L.; Pulia, Michael S.; Puskarich, Michael A.; Southerland, Lauren T.; Sparks, Scott; Turner-Lawrence, Danielle; Vrablik, Marie; Wang, Alfred; Weekes, Anthony J.; Westafer, Lauren; Wilburn, John; Emergency Medicine, School of Medicine
    Objectives Accurate and reliable criteria to rapidly estimate the probability of infection with the novel coronavirus-2 that causes the severe acute respiratory syndrome (SARS-CoV-2) and associated disease (COVID-19) remain an urgent unmet need, especially in emergency care. The objective was to derive and validate a clinical prediction score for SARS-CoV-2 infection that uses simple criteria widely available at the point of care. Methods Data came from the registry data from the national REgistry of suspected COVID-19 in EmeRgency care (RECOVER network) comprising 116 hospitals from 25 states in the US. Clinical variables and 30-day outcomes were abstracted from medical records of 19,850 emergency department (ED) patients tested for SARS-CoV-2. The criterion standard for diagnosis of SARS-CoV-2 required a positive molecular test from a swabbed sample or positive antibody testing within 30 days. The prediction score was derived from a 50% random sample (n = 9,925) using unadjusted analysis of 107 candidate variables as a screening step, followed by stepwise forward logistic regression on 72 variables. Results Multivariable regression yielded a 13-variable score, which was simplified to a 13-point score: +1 point each for age>50 years, measured temperature>37.5°C, oxygen saturation<95%, Black race, Hispanic or Latino ethnicity, household contact with known or suspected COVID-19, patient reported history of dry cough, anosmia/dysgeusia, myalgias or fever; and -1 point each for White race, no direct contact with infected person, or smoking. In the validation sample (n = 9,975), the probability from logistic regression score produced an area under the receiver operating characteristic curve of 0.80 (95% CI: 0.79–0.81), and this level of accuracy was retained across patients enrolled from the early spring to summer of 2020. In the simplified score, a score of zero produced a sensitivity of 95.6% (94.8–96.3%), specificity of 20.0% (19.0–21.0%), negative likelihood ratio of 0.22 (0.19–0.26). Increasing points on the simplified score predicted higher probability of infection (e.g., >75% probability with +5 or more points). Conclusion Criteria that are available at the point of care can accurately predict the probability of SARS-CoV-2 infection. These criteria could assist with decisions about isolation and testing at high throughput checkpoints.
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    Multi-Center Study of Outcomes Among Persons with HIV who Presented to US Emergency Departments with suspected SARS-CoV-2
    (Wolters Kluwer, 2021-08-31) Bennett, Christopher L.; Ogele, Emmanuel; Pettit, Nicholas R.; Bischof, Jason J.; Meng, Tong; Govindarajan, Prasanthi; Camargo, Carlos A., Jr.; Nordenholz, Kristen; Kline, Jeffrey A.; Emergency Medicine, School of Medicine
    Background: There is a need to characterize patients with HIV with suspected severe acute respiratory syndrome coronavirus 2 (SARs-CoV-2). Setting: Multicenter registry of patients from 116 emergency departments in 27 US states. Methods: Planned secondary analysis of patients with suspected SARS-CoV-2, with (n=415) and without (n=25,306) HIV. Descriptive statistics were used to compare patient information and clinical characteristics by SARS-CoV-2 and HIV status. Unadjusted and multivariable models were used to explore factors associated with death, intubation, and hospital length of stay. Kaplan-Meier curves were used to estimate survival by SARS-CoV-2 and HIV infection status. Results: Patients with both SARS-CoV-2 and HIV and patients with SARS-CoV-2 but without HIV had similar admission rates (62.7% versus 58.6%, p=0.24), hospitalization characteristics (e.g. rates of admission to the intensive care unit from the ED [5.0% versus 6.3%, p=0.45] and intubation [10% versus 13.3%, p=0.17]), and rates of death (13.9% versus 15.1%, p=0.65). They also had a similar cumulative risk of death (log-rank p=0.72). However, patients with both HIV and SARS-CoV-2 infections compared to patients with HIV but without SAR-CoV-2 had worsened outcomes, including increased mortality (13.9% versus 5.1%, p<0.01, log rank p<0.0001) and their deaths occurred sooner (median 11.5 days versus 34 days, p<0.01). Conclusion: Among ED patients with HIV, clinical outcomes associated with SARS-CoV-2 infection are not worse when compared to patients without HIV, but SARS-CoV-2 infection increased risk of death in patients with HIV.