Dataset Information

Clinical evaluation of Sofia Rapid Antigen Assay for detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among emergency department to hospital admissions.

ABSTRACT:

Objective

To determine the utility of the Sofia SARS rapid antigen fluorescent immunoassay (FIA) to guide hospital-bed placement of patients being admitted through the emergency department (ED).

Design

Cross-sectional analysis of a clinical quality improvement study.

Setting

This study was conducted in 2 community hospitals in Maryland from September 21, 2020, to December 3, 2020. In total, 2,887 patients simultaneously received the Sofia SARS rapid antigen FIA and SARS-CoV-2 RT-PCR assays on admission through the ED.

Methods

Rapid antigen results and symptom assessment guided initial patient placement while confirmatory RT-PCR was pending. The sensitivity, specificity, positive predictive values, and negative predictive values of the rapid antigen assay were calculated relative to RT-PCR, overall and separately for symptomatic and asymptomatic patients. Assay sensitivity was compared to RT-PCR cycle threshold (Ct) values. Assay turnaround times were compared. Clinical characteristics of RT-PCR-positive patients and potential exposures from false-negative antigen assays were evaluated.

Results

For all patients, overall agreement was 97.9%; sensitivity was 76.6% (95% confidence interval [CI], 71%-82%), and specificity was 99.7% (95% CI, 99%-100%). We detected no differences in performance between asymptomatic and symptomatic individuals. As RT-PCR Ct increased, the sensitivity of the antigen assay decreased. The mean turnaround time for the antigen assay was 1.2 hours (95% CI, 1.0-1.3) and for RT-PCR it was 20.1 hours (95% CI, 18.9-40.3) (P < .001). No transmission from antigen-negative/RT-PCR-positive patients was identified.

Conclusions

Although not a replacement for RT-PCR for detection of all SARS-CoV-2 infections, the Sofia SARS antigen FIA has clinical utility for potential initial timely patient placement.

SUBMITTER: Smith RD

PROVIDER: S-EPMC8376850 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Clinical evaluation of Sofia Rapid Antigen Assay for detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among emergency department to hospital admissions.

Smith Richard D RD Johnson J Kristie JK Clay Colleen C Girio-Herrera Leo L Stevens Diane D Abraham Michael M Zimand Paul P Ahlman Mark M Gimigliano Sheri S Zhao Richard R Hildenbrand Cynthia C Barrueto Fermin F Leekha Surbhi S

Infection control and hospital epidemiology 20210624 8

<h4>Objective</h4>To determine the utility of the Sofia SARS rapid antigen fluorescent immunoassay (FIA) to guide hospital-bed placement of patients being admitted through the emergency department (ED).<h4>Design</h4>Cross-sectional analysis of a clinical quality improvement study.<h4>Setting</h4>This study was conducted in 2 community hospitals in Maryland from September 21, 2020, to December 3, 2020. In total, 2,887 patients simultaneously received the Sofia SARS rapid antigen FIA and SARS-CoV ...[more]

PMID: 34162449

Similar Datasets

Project description:ImportanceAltruism-putting the patient first-is a fundamental component of physician professionalism. Evidence is lacking about the relationship between physician altruism, care quality, and spending.ObjectiveTo determine whether there is a relationship between physician altruism, measures of quality, and spending, hypothesizing that altruistic physicians have better results.Design, setting, and participantsThis cross-sectional study that used a validated economic experiment to measure altruism was carried out between October 2018 and November 2019 using a nationwide sample of US primary care physicians and cardiologists. Altruism data were linked to 2019 Medicare claims and multivariable regressions were used to examine the relationship between altruism and quality and spending measures. Overall, 250 physicians in 43 medical practices that varied in size, location, and ownership, and 7626 Medicare fee-for-service beneficiaries attributed to the physicians were included. The analysis was conducted from April 2022 to August 2024.ExposurePhysicians completed a widely used modified dictator-game style web-based experiment; based on their responses, they were categorized as more or less altruistic.Main measuresPotentially preventable hospital admissions, potentially preventable emergency department visits, and Medicare spending.ResultsIn all, 1599 beneficiaries (21%) were attributed to the 45 physicians (18%) categorized as altruistic and 6027 patients were attributed to the 205 physicians not categorized as altruistic. Adjusting for patient, physician, and practice characteristics, patients of altruistic physicians had a lower likelihood of any potentially preventable admission (odds ratio [OR], 0.60; 95% CI, 0.38-0.97; P = .03) and any potentially preventable emergency department visit (OR, 0.64; CI, 0.43-0.94; P = .02). Adjusted spending was 9.26% lower (95% CI, -16.24% to -2.27%; P = .01).Conclusions and relevanceThis cross-sectional study found that Medicare patients treated by altruistic physicians had fewer potentially preventable hospitalizations and emergency department visits and lower spending. Policymakers and leaders of hospitals, medical practices, and medical schools may want to consider creating incentives, organizational structures, and cultures that may increase, or at least do not decrease, physician altruism. Further research should seek to identify these and other modifiable factors, such as physician selection and training, that may shape physician altruism. Research could also analyze the relationship between altruism and quality and spending in additional medical practices, specialties, and countries, and use additional measures of quality and of patient experience.

Project description:BACKGROUND: Emergency department (ED) visit and hospital admissions (HA) data have been an indispensible resource for assessing acute morbidity impacts of air pollution. ED visits and HAs are types of health care visits with similarities, but also potentially important differences. Little previous information is available regarding the impact of health care visit type on observed acute air pollution-health associations from studies conducted for the same location, time period, outcome definitions and model specifications. METHODS: As part of a broader study of air pollution and health in St. Louis, individual-level ED and HA data were obtained for a 6.5 year period for acute care hospitals in the eight Missouri counties of the St. Louis metropolitan area. Patient demographic characteristics and diagnostic code distributions were compared for four visit types including ED visits, HAs, HAs that came through the ED, and non-elective HAs. Time-series analyses of the relationship between daily ambient ozone and PM?.? and selected cardiorespiratory outcomes were conducted for each visit type. RESULTS: Our results indicate that, compared with ED patients, HA patients tended to be older, had evidence of greater severity for some outcomes, and had a different mix of specific outcomes. Consideration of 'HA through ED' appeared to more effectively select acute visits than consideration of 'non-elective HA'. While outcomes with the strongest observed temporal associations with air pollutants tended to show strong associations for all visit types, we found some differences in observed associations for ED visits and HAs. For example, risk ratios for the respiratory disease-ozone association were 1.020 for ED visits and 1.004 for 'HA through ED'; risk ratios for the asthma/wheeze-ozone association were 1.069 for ED visits and 1.106 for 'HA through ED'. Several factors (e.g. age) were identified that may be responsible, in part, for the differences in observed associations. CONCLUSIONS: Demographic and diagnostic differences between visit types may lead to preference for one visit type over another for some questions and populations. The strengths of observed associations with air pollutants sometimes varied between different health care visit types, but the relative strengths of association generally were specific to the pollutant-outcome combination.

Project description:BackgroundAlthough homelessness and opioid overdose are major public health issues in the U.S., evidence is limited as to whether homelessness is associated with an increased risk of opioid overdose.ObjectiveTo compare opioid-related outcomes between homeless versus housed individuals in low-income communities.Design, setting, and participantsCross-sectional analysis of individuals who had at least one ED visit or hospitalization in four states (Florida, Maryland, Massachusetts, and New York) in 2014.MeasurementsRisk of opioid overdose and opioid-related ED visits/hospital admissions were compared between homeless versus low-income housed individuals, adjusting for patient characteristics and hospital-specific fixed effects (effectively comparing homeless versus low-income housed individuals treated at the same hospital). We also examined whether risk of opioid-related outcomes varied by patients' sex and race/ethnicity.ResultsA total of 96,099 homeless and 2,869,230 low-income housed individuals were analyzed. Homeless individuals had significantly higher risk of opioid overdose (adjusted risk, 1.8% for homeless vs. 0.3% for low-income housed individuals; adjusted risk difference [aRD], +1.5%; 95%CI, +1.0% to +2.0%; p < 0.001) and opioid-related ED visit/hospital admission (10.4% vs. 1.5%; aRD, +8.9%; 95%CI, +7.2% to +10.6%; p < 0.001) compared to low-income housed individuals. Non-Hispanic White females had the highest risk among the homeless population, whereas non-Hispanic White males had the highest risk among the low-income housed population.LimitationsIndividuals with no ED visit or hospitalization in 2014 were not included.ConclusionHomeless individuals had disproportionately higher adjusted risk of opioid-related outcomes compared to low-income housed individuals treated at the same hospital. Among homeless individuals, non-Hispanic White females incurred the highest risk. These findings highlight the importance of recognizing the homeless population-especially the non-Hispanic White female homeless population-as a high-risk population for opioid overdose.

Project description:BackgroundA significant number of patients who present to the emergency department (ED) following a fall or with other injuries require evaluation by a physical therapist. Traditionally, once emergent conditions are excluded in the ED, these patients are admitted to the hospital for evaluation by a physical therapist to determine whether they should be transferred to a sub-acute rehabilitation facility, discharged, require services at home, or require further inpatient care. Case management is typically used in conjunction with a physical therapist to determine eligibility for recommended services and to aid in placement.ObjectiveTo evaluate the benefit of using ED-based physical therapist and case management services in lieu of routine hospital admission.MethodsRetrospective, observational study of consecutive patients presenting to an urban, tertiary care academic medical center ED between December 1, 2017, and November 30, 2018, who had a physical therapist consult placed in the ED. We additionally evaluated which of these patients were placed into ED observation for physical therapist consultation, how many required case management, and ED disposition: discharged home from the ED or ED observation with or without services, placed in a rehabilitation facility, or admitted to the hospital.ResultsDuring the 12-month study period, 1296 patients (2.4% of the total seen in the ED) were assessed by a physical therapist. The mean age was 75.5 ± 15.2 and 832 (64.2%) were female. Case management was involved in 91.8% of these cases. The final patient disposition was as follows: admission 24.3% (95% CI = 22.1-26.7%), home discharge with or without services 47.8% (95% CI = 45.1-50.5%), rehabilitation (rehab) setting 27.9% (95% CI = 25.6%-30.4). The median (interquartile range) time in observation was 13.1 (6.0-20.3), 9.9 (1.8-15.8), and 18.4 (14.1-24.8) hours for patients admitted, discharged home, or sent to rehabilitation (P < 0.001). Among the 979 patients discharged home or sent to rehabilitation, 17 (1.7%) returned to the ED within 72 hours and were ultimately admitted.ConclusionGiven that the standard of care would otherwise be an admission to the hospital for 1 day or more for all patients requiring physical therapist consultation, an ED-based physical therapy and case management system serves as a viable method to substantially decrease hospital admissions and potentially reduce resource use, length of hospital stay, and cost both to patients and the health care system.

Project description:Background Identification of stroke patients at increased risk of emergency department (ED) visits or hospital admissions allows implementation of mitigation strategies. We evaluated the ability of the Patient-Reported Outcomes Information Measurement System (PROMIS) patient-reported outcomes (PROs) collected as part of routine care to predict 1-year emergency department (ED) visits and admissions when added to other readily available clinical variables. Methods and Results This was a cohort study of 1696 patients with ischemic stroke, intracerebral hemorrhage, subarachnoid hemorrhage, or transient ischemic attack seen in a cerebrovascular clinic from February 17, 2015, to June 11, 2018, who completed the following PROs at the visit: Patient Health Questionnaire-9, Quality of Life in Neurological Disorders cognitive function, PROMIS Global Health, sleep disturbance, fatigue, anxiety, social role satisfaction, physical function, and pain interference. A series of logistic regression models was constructed to determine the ability of models that include PRO scores to predict 1-year ED visits and all-cause and unplanned admissions. In the 1 year following the PRO encounter date, 1046 ED visits occurred in 548 patients; 751 admissions occurred in 453 patients. All PROs were significantly associated with future ED visits and admissions except PROMIS sleep. Models predicting unplanned admissions had highest optimism-corrected area under the curve (range, 0.684-0.724), followed by ED visits (range, 0.674-0.691) and then all-cause admissions (range, 0.628-0.671). PROs measuring domains of mental health had stronger associations with ED visits; PROs measuring domains of physical health had stronger associations with admissions. Conclusions PROMIS scales improve the ability to predict ED visits and admissions in patients with stroke. The differences in model performance and the most influential PROs in the prediction models suggest differences in factors influencing future hospital admissions and ED visits.

Dataset Information

Clinical evaluation of Sofia Rapid Antigen Assay for detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among emergency department to hospital admissions.

Objective

Design

Setting

Methods

Results

Conclusions

Publications

Clinical evaluation of Sofia Rapid Antigen Assay for detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among emergency department to hospital admissions.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets