Initial and Repeated Point Prevalence Surveys to Inform SARS-CoV-2 Infection Prevention in 26 Skilled Nursing Facilities - Detroit, Michigan, March-May 2020.

Skilled nursing facilities (SNFs) are focal points of the coronavirus disease 2019 (COVID-19) pandemic, and asymptomatic infections with SARS-CoV-2, the virus that causes COVID-19, among SNF residents and health care personnel have been described (1-3). Repeated point prevalence surveys (serial testing of all residents and health care personnel at a health care facility irrespective of symptoms) have been used to identify asymptomatic infections and have reduced SARS-CoV-2 transmission during SNF outbreaks (1,3). During March 2020, the Detroit Health Department and area hospitals detected a sharp increase in COVID-19 diagnoses, hospitalizations, and associated deaths among SNF residents. The Detroit Health Department collaborated with local government, academic, and health care system partners and a CDC field team to rapidly expand SARS-CoV-2 testing and implement infection prevention and control (IPC) activities in all Detroit-area SNFs. During March 7-May 8, among 2,773 residents of 26 Detroit SNFs, 1,207 laboratory-confirmed cases of COVID-19 were identified during three periods: before (March 7-April 7) and after two point prevalence surveys (April 8-25 and April 30-May 8): the overall attack rate was 44%. Within 21 days of receiving their first positive test results, 446 (37%) of 1,207 COVID-19 patients were hospitalized, and 287 (24%) died. Among facilities participating in both surveys (n = 12), the percentage of positive test results declined from 35% to 18%. Repeated point prevalence surveys in SNFs identified asymptomatic COVID-19 cases, informed cohorting and IPC practices aimed at reducing transmission, and guided prioritization of health department resources for facilities experiencing high levels of SARS-CoV-2 transmission. With the increased availability of SARS-CoV-2 testing, repeated point prevalence surveys and enhanced and expanded IPC support should be standard tools for interrupting and preventing COVID-19 outbreaks in SNFs.

Emergency department visits in patients with low acuity conditions: Factors associated with resource utilization.

OBJECTIVES: To identify health beliefs of emergency department (ED) patients with low acuity conditions and how these affect ambulance (AMB) utilization. METHODS: We performed a prospective, observational study on a convenience sample of patients 18years or older, who presented to the ED of an urban, academic hospital with an Emergency Severity Index (ESI) triage level of 4 or 5. Demographics, treatment, and disposition data were obtained along with self-administered surveys. Characteristics of patients with low acuity conditions who presented to the ED by AMB were compared to the patients who came to the ED by private transportation (PT). Data were analyzed with the chi-square test, t-test, and Mann-Whitney test. RESULTS: A total of 197 patients (97 AMB and 100 PT) were enrolled. Compared to PT, AMB patients were more likely to: be insured (82% vs. 56%; p=0.000), have a primary care provider (62% vs. 44%; p=0.048), and lack a regular means of transportation (53% vs. 33%; p=0.005). Three surveys were used the SF-8, Short Test of Functional Health Literacy in Adults [STOFHLA], and Health Belief Model [HBM]. Answers to HBM showed patients perceive that their illness required care within one hour of arrival (38% vs. 21%; p=0.04), have used an ambulance in the past year (76% vs. 33%; p=0.001) and to utilize an ambulance in the future for similar concerns (53% vs. 15%; p=0.000). AMB patients were more likely to call an ambulance for any health concern (p=0.035) and felt that there were enough ambulances for all patients in the city (p=0.01). There were no differences in age, employment, level of income and education, nor hospital admission rate between groups. CONCLUSIONS: Ambulance use in low-acuity ED patients is associated with misperceptions regarding severity of illness and resource allocation as well as limited access to private transportation. Understanding patient perceptions of illness and other barriers to receiving care is imperative for the development of interventions aimed at enabling change in health behaviors such as the elective use of limited resources.

Modeling the Kinetics of Serum Glial Fibrillary Acidic Protein, Ubiquitin Carboxyl-Terminal Hydrolase-L1, and S100B Concentrations in Patients with Traumatic Brain Injury.

Glial fibrillary acidic protein (GFAP), ubiquitin carboxyl-terminal hydrolase-L1 (UCH-L1), and S100B have been shown to be predictive of patients with brain injury. Kinetics of these biomarkers in injured humans have not been extensively examined. This prospective multi-center study included patients with mild-to-moderate traumatic brain injury. Blood samples obtained at enrollment and every 6 h up to 24 h post-injury were assayed for GFAP, UCH-L1, and S100B. Random effects models examined changes in the biomarkers' level over time. A total of 167 patients were enrolled; mean age was 46.0 ± 17.8, 61.1% were male, 143 (85.6%) had a Glasgow Coma Scale score of 15, and 33 (19.8%) had a positive head computed tomography (CT) scan. Baseline median biomarker concentrations for all three were higher among CT-positive patients (p < 0.0001) but GFAP was the only biomarker that significantly increased over time among CT-positive patients relative to CT-negative patients (log transformed values 0.037; 95% confidence interval 0.02, 0.05; p < 0.001), indicating a 3.7% per hour rise in GFAP concentration. There was no significant increase in either UCH-L1 or S100B in CT-positive patients (p = 0.15 and p = 0.47, respectively). GFAP concentrations increased 3.7% per hour among CT-positive patients whereas neither UCH-L1 nor S100B increased, compared with CT-negative patients. The kinetics and temporal profile of GFAP suggest it may be a more robust biomarker to detect patients with positive CT findings, particularly at later post-injury times. Further study is needed to determine if GFAP is a useful test to follow throughout a patient's clinical course.

Utility of point of care assessment of platelet reactivity (using the PFA-100®) to aid in diagnosis of stroke.

BACKGROUND: Rapid and accurate diagnosis of patients presenting with symptoms of stroke is needed to facilitate the timely delivery of proven effective treatment for patients with acute ischemic stroke (AIS). The aim of this study was to determine whether early assessment of platelet reactivity in patients presenting with symptoms of AIS was associated with a diagnosis of AIS, transient ischemic attack (TIA), or stroke mimic. METHODS: This prospective study included patients with symptoms of AIS treated at an inner-city emergency department (ED). Blood samples were obtained and assayed for platelet reactivity (quantified by closure time). Patients were grouped by discharge diagnosis into: AIS, TIA, or stroke mimic. Binary logistic regression model was used to predict the association of closure time with the final diagnosis of 1) either AIS or TIA or, 2) stroke mimic. RESULTS: Of 114 patients enrolled, 32 were diagnosed with AIS, 33 TIA, and 49 were diagnosed as a stroke mimic. There was no significant difference in closure times among patients with a diagnosis of AIS or TIA versus stroke mimic. A history of migraines and history of seizures were independently associated with lower odds of an AIS or TIA diagnosis (OR 0.31, 95% CI 0.10 to 0.94 and OR 0.08, 95% CI 0.01 to 0.88, respectively). CONCLUSION: Closure time was not found to be a clinically reliable differentiator of patients with a diagnosis of AIS, TIA, or stroke mimic in the ED.

Ability of Serum Glial Fibrillary Acidic Protein, Ubiquitin C-Terminal Hydrolase-L1, and S100B To Differentiate Normal and Abnormal Head Computed Tomography Findings in Patients with Suspected Mild or Moderate Traumatic Brain Injury.

Head computed tomography (CT) imaging is still a commonly obtained diagnostic test for patients with minor head injury despite availability of clinical decision rules to guide imaging use and recommendations to reduce radiation exposure resulting from unnecessary imaging. This prospective multicenter observational study of 251 patients with suspected mild to moderate traumatic brain injury (TBI) evaluated three serum biomarkers' (glial fibrillary acidic protein [GFAP], ubiquitin C-terminal hydrolase-L1 [UCH-L1] and S100B measured within 6 h of injury) ability to differentiate CT negative and CT positive findings. Of the 251 patients, 60.2% were male and 225 (89.6%) had a presenting Glasgow Coma Scale score of 15. A positive head CT (intracranial injury) was found in 36 (14.3%). UCH-L1 was 100% sensitive and 39% specific at a cutoff value >40 pg/mL. To retain 100% sensitivity, GFAP was 0% specific (cutoff value 0 pg/mL) and S100B had a specificity of only 2% (cutoff value 30 pg/mL). All three biomarkers had similar values for areas under the receiver operator characteristic curve: 0.79 (95% confidence interval; 0.70-0.88) for GFAP, 0.80 (0.71-0.89) for UCH-L1, and 0.75 (0.65-0.85) for S100B. Neither GFAP nor UCH-L1 curve values differed significantly from S100B (p = 0.21 and p = 0.77, respectively). In our patient cohort, UCH-L1 outperformed GFAP and S100B when the goal was to reduce CT use without sacrificing sensitivity. UCH-L1 values <40 pg/mL could potentially have aided in eliminating 83 of the 215 negative CT scans. These results require replication in other studies before the test is used in actual clinical practice.