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Bloch-Salisbury E, Wilson JD, Rodriguez N, Bruch T, McKenna L, Derbin M, Glidden B, Ayturk D, Aurora S, Yanowitz T, Barton B, Vining M, Beers SR, Bogen DL. Efficacy of a Vibrating Crib Mattress to Reduce Pharmacologic Treatment in Opioid-Exposed Newborns: A Randomized Clinical Trial. JAMA Pediatr 2023; 177:665-674. [PMID: 37184872 PMCID: PMC10186209 DOI: 10.1001/jamapediatrics.2023.1077] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 03/09/2023] [Indexed: 05/16/2023]
Abstract
Importance Pharmacologic agents are often used to treat newborns with prenatal opioid exposure (POE) despite known adverse effects on neurodevelopment. Alternative nonpharmacological interventions are needed. Objective To examine efficacy of a vibrating crib mattress for treating newborns with POE. Design, Setting, and Participants In this dual-site randomized clinical trial, 208 term newborns with POE, enrolled from March 9, 2017, to March 10, 2020, were studied at their bedside throughout hospitalization. Interventions Half the cohort received treatment as usual (TAU) and half received standard care plus low-level stochastic (random) vibrotactile stimulation (SVS) using a uniquely constructed crib mattress with a 3-hour on-off cycle. Study initiated in the newborn unit where newborns were randomized to TAU or SVS within 48 hours of birth. All infants whose symptoms met clinical criteria for pharmacologic treatment received morphine in the neonatal intensive care unit per standard care. Main Outcomes and Measures The a priori primary outcomes analyzed were pharmacotherapy (administration of morphine treatment [AMT], first-line medication at both study sites [number of infants treated], and cumulative morphine dose) and hospital length of stay. Intention-to-treat analysis was conducted. Results Analyses were performed on 181 newborns who completed hospitalization at the study sites (mean [SD] gestational age, 39.0 [1.2] weeks; mean [SD] birth weight, 3076 (489) g; 100 [55.2%] were female). Of the 181 analyzed infants, 121 (66.9%) were discharged without medication and 60 (33.1%) were transferred to the NICU for morphine treatment (31 [51.7%] TAU and 29 [48.3%] SVS). Treatment rate was not significantly different in the 2 groups: 35.6% (31 of 87 infants who received TAU) and 30.9% (29 of 94 infants who received SVS) (P = .60). Adjusting for site, sex, birth weight, opioid exposure, and feed type, infant duration on the vibrating mattress in the newborn unit was associated with reduction in AMT (adjusted odds ratio, 0.88 hours per day; 95% CI, 0.81-0.93 hours per day). This translated to a 50% relative reduction in AMT for infants who received SVS on average 6 hours per day. Among 32 infants transferred to the neonatal intensive care unit for morphine treatment who completed treatment within 3 weeks, those assigned to SVS finished treatment nearly twice as fast (hazard ratio, 1.96; 95% CI, 1.01-3.81), resulting in 3.18 fewer treatment days (95% CI, -0.47 to -0.04 days) and receiving a mean 1.76 mg/kg less morphine (95% CI, -3.02 to -0.50 mg/kg) than the TAU cohort. No effects of condition were observed among infants treated for more than 3 weeks (n = 28). Conclusions and Relevance The findings of this clinical trial suggest that SVS may serve as a complementary nonpharmacologic intervention for newborns with POE. Reducing pharmacotherapy with SVS has implications for reduced hospitalization stays and costs, and possibly improved infant outcomes given the known adverse effects of morphine on neurodevelopment. Trial Registration ClinicalTrials.gov Identifier: NCT02801331.
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Affiliation(s)
- Elisabeth Bloch-Salisbury
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Department of Pediatrics, University of Massachusetts Chan School of Medicine, Worcester
| | - James D. Wilson
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Nicolas Rodriguez
- Department of Pediatrics, University of Massachusetts Chan School of Medicine, Worcester
| | - Tory Bruch
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Lauren McKenna
- Department of Pediatrics, University of Massachusetts Chan School of Medicine, Worcester
| | - Matthew Derbin
- Department of Pediatrics, University of Massachusetts Chan School of Medicine, Worcester
| | - Barbara Glidden
- Department of Pediatrics, University of Massachusetts Chan School of Medicine, Worcester
| | - Didem Ayturk
- Department of Quantitative and Health Sciences, University of Massachusetts Chan School of Medicine, Worcester
| | - Sanjay Aurora
- Department of Pediatrics, University of Massachusetts Chan School of Medicine, Worcester
| | - Toby Yanowitz
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Bruce Barton
- Department of Quantitative and Health Sciences, University of Massachusetts Chan School of Medicine, Worcester
| | - Mark Vining
- Department of Pediatrics, University of Massachusetts Chan School of Medicine, Worcester
| | - Sue R. Beers
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Debra L. Bogen
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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Soni A, Herbert C, Lin H, Yan Y, Pretz C, Stamegna P, Wang B, Orwig T, Wright C, Tarrant S, Behar S, Suvarna T, Schrader S, Harman E, Nowak C, Kheterpal V, Rao LV, Cashman L, Orvek E, Ayturk D, Gibson L, Zai A, Wong S, Lazar P, Wang Z, Filippaios A, Barton B, Achenbach CJ, Murphy RL, Robinson ML, Manabe YC, Pandey S, Colubri A, O'Connor L, Lemon SC, Fahey N, Luzuriaga KL, Hafer N, Roth K, Lowe T, Stenzel T, Heetderks W, Broach J, McManus DD. Performance of Rapid Antigen Tests to Detect Symptomatic and Asymptomatic SARS-CoV-2 Infection : A Prospective Cohort Study. Ann Intern Med 2023; 176:975-982. [PMID: 37399548 PMCID: PMC10321467 DOI: 10.7326/m23-0385] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/05/2023] Open
Abstract
BACKGROUND The performance of rapid antigen tests (Ag-RDTs) for screening asymptomatic and symptomatic persons for SARS-CoV-2 is not well established. OBJECTIVE To evaluate the performance of Ag-RDTs for detection of SARS-CoV-2 among symptomatic and asymptomatic participants. DESIGN This prospective cohort study enrolled participants between October 2021 and January 2022. Participants completed Ag-RDTs and reverse transcriptase polymerase chain reaction (RT-PCR) testing for SARS-CoV-2 every 48 hours for 15 days. SETTING Participants were enrolled digitally throughout the mainland United States. They self-collected anterior nasal swabs for Ag-RDTs and RT-PCR testing. Nasal swabs for RT-PCR were shipped to a central laboratory, whereas Ag-RDTs were done at home. PARTICIPANTS Of 7361 participants in the study, 5353 who were asymptomatic and negative for SARS-CoV-2 on study day 1 were eligible. In total, 154 participants had at least 1 positive RT-PCR result. MEASUREMENTS The sensitivity of Ag-RDTs was measured on the basis of testing once (same-day), twice (after 48 hours), and thrice (after a total of 96 hours). The analysis was repeated for different days past index PCR positivity (DPIPPs) to approximate real-world scenarios where testing initiation may not always coincide with DPIPP 0. Results were stratified by symptom status. RESULTS Among 154 participants who tested positive for SARS-CoV-2, 97 were asymptomatic and 57 had symptoms at infection onset. Serial testing with Ag-RDTs twice 48 hours apart resulted in an aggregated sensitivity of 93.4% (95% CI, 90.4% to 95.9%) among symptomatic participants on DPIPPs 0 to 6. When singleton positive results were excluded, the aggregated sensitivity on DPIPPs 0 to 6 for 2-time serial testing among asymptomatic participants was lower at 62.7% (CI, 57.0% to 70.5%), but it improved to 79.0% (CI, 70.1% to 87.4%) with testing 3 times at 48-hour intervals. LIMITATION Participants tested every 48 hours; therefore, these data cannot support conclusions about serial testing intervals shorter than 48 hours. CONCLUSION The performance of Ag-RDTs was optimized when asymptomatic participants tested 3 times at 48-hour intervals and when symptomatic participants tested 2 times separated by 48 hours. PRIMARY FUNDING SOURCE National Institutes of Health RADx Tech program.
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Affiliation(s)
- Apurv Soni
- Program in Digital Medicine, Department of Medicine; Division of Health Systems Science, Department of Medicine; and Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts (A.S.)
| | - Carly Herbert
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (C.H., C.P., P.S., T.O., C.W., S.T., S.B., A.F., S.P.)
| | - Honghuang Lin
- Program in Digital Medicine and Division of Health Systems Science, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (H.L., B.W.)
| | - Yi Yan
- Office of In Vitro Diagnostics, Office of Product Evaluation and Quality, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland (Y.Y., K.R., T.L.)
| | - Caitlin Pretz
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (C.H., C.P., P.S., T.O., C.W., S.T., S.B., A.F., S.P.)
| | - Pamela Stamegna
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (C.H., C.P., P.S., T.O., C.W., S.T., S.B., A.F., S.P.)
| | - Biqi Wang
- Program in Digital Medicine and Division of Health Systems Science, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (H.L., B.W.)
| | - Taylor Orwig
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (C.H., C.P., P.S., T.O., C.W., S.T., S.B., A.F., S.P.)
| | - Colton Wright
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (C.H., C.P., P.S., T.O., C.W., S.T., S.B., A.F., S.P.)
| | - Seanan Tarrant
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (C.H., C.P., P.S., T.O., C.W., S.T., S.B., A.F., S.P.)
| | - Stephanie Behar
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (C.H., C.P., P.S., T.O., C.W., S.T., S.B., A.F., S.P.)
| | - Thejas Suvarna
- CareEvolution, Ann Arbor, Michigan (T.S., S.S., E.H., C.N., V.K.)
| | - Summer Schrader
- CareEvolution, Ann Arbor, Michigan (T.S., S.S., E.H., C.N., V.K.)
| | - Emma Harman
- CareEvolution, Ann Arbor, Michigan (T.S., S.S., E.H., C.N., V.K.)
| | - Chris Nowak
- CareEvolution, Ann Arbor, Michigan (T.S., S.S., E.H., C.N., V.K.)
| | - Vik Kheterpal
- CareEvolution, Ann Arbor, Michigan (T.S., S.S., E.H., C.N., V.K.)
| | - Lokinendi V Rao
- Quest Diagnostics, Marlborough, Massachusetts (L.V.R., L.C.)
| | - Lisa Cashman
- Quest Diagnostics, Marlborough, Massachusetts (L.V.R., L.C.)
| | - Elizabeth Orvek
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts (E.O., D.A., A.Z., S.W., P.L., B.B., S.C.L.)
| | - Didem Ayturk
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts (E.O., D.A., A.Z., S.W., P.L., B.B., S.C.L.)
| | - Laura Gibson
- Division of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (L.G.)
| | - Adrian Zai
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts (E.O., D.A., A.Z., S.W., P.L., B.B., S.C.L.)
| | - Steven Wong
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts (E.O., D.A., A.Z., S.W., P.L., B.B., S.C.L.)
| | - Peter Lazar
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts (E.O., D.A., A.Z., S.W., P.L., B.B., S.C.L.)
| | - Ziyue Wang
- Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (Z.W.)
| | - Andreas Filippaios
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (C.H., C.P., P.S., T.O., C.W., S.T., S.B., A.F., S.P.)
| | - Bruce Barton
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts (E.O., D.A., A.Z., S.W., P.L., B.B., S.C.L.)
| | - Chad J Achenbach
- Division of Infectious Diseases, Department of Medicine, Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, Illinois (C.J.A., R.L.M.)
| | - Robert L Murphy
- Division of Infectious Diseases, Department of Medicine, Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, Illinois (C.J.A., R.L.M.)
| | - Matthew L Robinson
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland (M.L.R., Y.C.M.)
| | - Yukari C Manabe
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland (M.L.R., Y.C.M.)
| | - Shishir Pandey
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (C.H., C.P., P.S., T.O., C.W., S.T., S.B., A.F., S.P.)
| | - Andres Colubri
- Department of Microbiology and Physiological Systems, University of Massachusetts Chan Medical School, Worcester, Massachusetts (A.C.)
| | - Laurel O'Connor
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (L.O., J.B.)
| | - Stephenie C Lemon
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts (E.O., D.A., A.Z., S.W., P.L., B.B., S.C.L.)
| | - Nisha Fahey
- Program in Digital Medicine, Department of Medicine; Department of Population and Quantitative Health Sciences; and Department of Pediatrics, University of Massachusetts Chan Medical School, Worcester, Massachusetts (N.F.)
| | - Katherine L Luzuriaga
- University of Massachusetts Center for Clinical and Translational Science and Program in Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (K.L.L., N.H.)
| | - Nathaniel Hafer
- University of Massachusetts Center for Clinical and Translational Science and Program in Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (K.L.L., N.H.)
| | - Kristian Roth
- Office of In Vitro Diagnostics, Office of Product Evaluation and Quality, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland (Y.Y., K.R., T.L.)
| | - Toby Lowe
- Office of In Vitro Diagnostics, Office of Product Evaluation and Quality, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland (Y.Y., K.R., T.L.)
| | - Timothy Stenzel
- Division of Microbiology, Office of In Vitro Diagnostics, Office of Product Evaluation and Quality, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland (T.S.)
| | - William Heetderks
- National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland (W.H.)
| | - John Broach
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (L.O., J.B.)
| | - David D McManus
- Program in Digital Medicine, Division of Health Systems Science, and Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (D.D.M.)
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3
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Soni A, Herbert C, Pretz C, Stamegna P, Filippaios A, Shi Q, Suvarna T, Harman E, Schrader S, Nowak C, Schramm E, Kheterpal V, Behar S, Tarrant S, Ferranto J, Hafer N, Robinson M, Achenbach C, Murphy RL, Manabe YC, Gibson L, Barton B, O’Connor L, Fahey N, Orvek E, Lazar P, Ayturk D, Wong S, Zai A, Cashman L, Rao LV, Luzuriaga K, Lemon S, Blodgett A, Trippe E, Barcus M, Goldberg B, Roth K, Stenzel T, Heetderks W, Broach J, McManus D. Design and implementation of a digital site-less clinical study of serial rapid antigen testing to identify asymptomatic SARS-CoV-2 infection. J Clin Transl Sci 2023; 7:e120. [PMID: 37313378 PMCID: PMC10260333 DOI: 10.1017/cts.2023.540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 04/05/2023] [Accepted: 04/27/2023] [Indexed: 06/15/2023] Open
Abstract
Background Rapid antigen detection tests (Ag-RDT) for SARS-CoV-2 with emergency use authorization generally include a condition of authorization to evaluate the test's performance in asymptomatic individuals when used serially. We aim to describe a novel study design that was used to generate regulatory-quality data to evaluate the serial use of Ag-RDT in detecting SARS-CoV-2 virus among asymptomatic individuals. Methods This prospective cohort study used a siteless, digital approach to assess longitudinal performance of Ag-RDT. Individuals over 2 years old from across the USA with no reported COVID-19 symptoms in the 14 days prior to study enrollment were eligible to enroll in this study. Participants throughout the mainland USA were enrolled through a digital platform between October 18, 2021 and February 15, 2022. Participants were asked to test using Ag-RDT and molecular comparators every 48 hours for 15 days. Enrollment demographics, geographic distribution, and SARS-CoV-2 infection rates are reported. Key Results A total of 7361 participants enrolled in the study, and 492 participants tested positive for SARS-CoV-2, including 154 who were asymptomatic and tested negative to start the study. This exceeded the initial enrollment goals of 60 positive participants. We enrolled participants from 44 US states, and geographic distribution of participants shifted in accordance with the changing COVID-19 prevalence nationwide. Conclusions The digital site-less approach employed in the "Test Us At Home" study enabled rapid, efficient, and rigorous evaluation of rapid diagnostics for COVID-19 and can be adapted across research disciplines to optimize study enrollment and accessibility.
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Affiliation(s)
- Apurv Soni
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Division of Health System Science, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Carly Herbert
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Caitlin Pretz
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Pamela Stamegna
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Andreas Filippaios
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Qiming Shi
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Division of Health System Science, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
- University of Massachusetts Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | | | | | | | | | | | | | - Stephanie Behar
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Seanan Tarrant
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Julia Ferranto
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Nathaniel Hafer
- University of Massachusetts Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Matthew Robinson
- Division of Infectious Disease, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Chad Achenbach
- Division of Infectious Disease, Department of Medicine, Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Robert L. Murphy
- Division of Infectious Disease, Department of Medicine, Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Yukari C. Manabe
- Division of Infectious Disease, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Laura Gibson
- Division of Infectious Disease, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Bruce Barton
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Laurel O’Connor
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Nisha Fahey
- Department of Pediatrics, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Elizabeth Orvek
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Peter Lazar
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Didem Ayturk
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Steven Wong
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Adrian Zai
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | | | | | - Katherine Luzuriaga
- University of Massachusetts Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Stephenie Lemon
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Allison Blodgett
- University of Massachusetts Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Elizabeth Trippe
- Division of Microbiology, OHT7 Office of Product Evaluation and Quality, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, USA
| | - Mary Barcus
- Division of Microbiology, OHT7 Office of Product Evaluation and Quality, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, USA
| | - Brittany Goldberg
- Division of Microbiology, OHT7 Office of Product Evaluation and Quality, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, USA
| | - Kristian Roth
- Division of Microbiology, OHT7 Office of Product Evaluation and Quality, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, USA
| | - Timothy Stenzel
- OHT7 Office of Product Evaluation and Quality, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, USA
| | - William Heetderks
- National Institute of Biomedical Imaging and Bioengineering, NIH, Via Contract with Kelly Services, Bethesda, MD, USA
| | - John Broach
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - David McManus
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Division of Health System Science, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Division of Cardiology, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
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Meyerovitz CV, Juraschek SP, Ayturk D, Moore Simas TA, Person SD, Lemon SC, McManus DD, Kovell LC. Social Determinants, Blood Pressure Control, and Racial Inequities in Childbearing Age Women With Hypertension, 2001 to 2018. J Am Heart Assoc 2023; 12:e027169. [PMID: 36847043 PMCID: PMC10111464 DOI: 10.1161/jaha.122.027169] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 11/30/2022] [Indexed: 03/01/2023]
Abstract
Background Hypertension is an important modifiable risk factor of serious maternal morbidity and mortality. Social determinants of health (SDoH) influence hypertension outcomes and may contribute to racial and ethnic differences in hypertension control. Our objective was to assess SDoH and blood pressure (BP) control by race and ethnicity in US women of childbearing age with hypertension. Methods and Results We studied women (aged 20-50 years) with hypertension (systolic BP ≥140 mm Hg or diastolic BP ≥90 mm Hg or use of antihypertensive medication) in the National Health and Nutrition Examination Surveys 2001 to 2018. SDoH and BP control (systolic BP <140 mm Hg and diastolic BP <90 mm Hg) were examined by race and ethnicity (White race, Black race, Hispanic ethnicity, and Asian race). Using multivariable logistic regression, odds of uncontrolled BP by race and ethnicity were modeled, adjusting for SDoH, health factors, and modifiable health behaviors. Responses on hunger and affording food determined food insecurity status. Across women of childbearing age with hypertension (N=1293), 59.2% were White race, 23.4% were Black race, 15.8% were Hispanic ethnicity, and 1.7% were Asian race. More Hispanic and Black women experienced food insecurity than White women (32% and 25% versus 13%; both P<0.001). After SDoH, health factor, and modifiable health behavior adjustment, Black women maintained higher odds of uncontrolled BP than White women (odds ratio, 2.31 [95% CI, 1.08-4.92]), whereas Asian and Hispanic women showed no difference. Conclusions We identified racial inequities in uncontrolled BP and food insecurity among women of childbearing age with hypertension. Further exploration beyond the SDoH measured is needed to understand the inequity in hypertension control in Black women.
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Affiliation(s)
| | - Stephen P. Juraschek
- Division of General MedicineBeth Israel Deaconess Medical Center/Harvard Medical SchoolBostonMA
| | - Didem Ayturk
- Department of Population and Quantitative Health SciencesUMass Chan Medical SchoolWorcesterMA
| | - Tiffany A. Moore Simas
- Department of Population and Quantitative Health SciencesUMass Chan Medical SchoolWorcesterMA
- Departments of Obstetrics and Gynecology, Pediatrics and PsychiatryUMass Chan Medical SchoolWorcesterMA
| | - Sharina D. Person
- Department of Population and Quantitative Health SciencesUMass Chan Medical SchoolWorcesterMA
| | - Stephenie C. Lemon
- Department of Population and Quantitative Health SciencesUMass Chan Medical SchoolWorcesterMA
| | - David D. McManus
- Division of Cardiovascular Medicine, Department of MedicineUMass Chan Medical SchoolWorcesterMA
| | - Lara C. Kovell
- Division of Cardiovascular Medicine, Department of MedicineUMass Chan Medical SchoolWorcesterMA
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5
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Soni A, Herbert C, Lin H, Yan Y, Pretz C, Stamegna P, Wang B, Orwig T, Wright C, Tarrant S, Behar S, Suvarna T, Schrader S, Harman E, Nowak C, Kheterpal V, Rao LV, Cashman L, Orvek E, Ayturk D, Gibson L, Zai A, Wong S, Lazar P, Wang Z, Filippaios A, Barton B, Achenbach CJ, Murphy RL, Robinson M, Manabe YC, Pandey S, Colubri A, Oâ Connor L, Lemon SC, Fahey N, Luzuriaga KL, Hafer N, Roth K, Lowe T, Stenzel T, Heetderks W, Broach J, McManus DD. Performance of Rapid Antigen Tests to Detect Symptomatic and Asymptomatic SARS-CoV-2 Infection. medRxiv 2023:2022.08.05.22278466. [PMID: 35982680 PMCID: PMC9387089 DOI: 10.1101/2022.08.05.22278466] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Background Performance of rapid antigen tests for SARS-CoV-2 (Ag-RDT) varies over the course of an infection, and their performance in screening for SARS-CoV-2 is not well established. We aimed to evaluate performance of Ag-RDT for detection of SARS-CoV-2 for symptomatic and asymptomatic participants. Methods Participants >2 years old across the United States enrolled in the study between October 2021 and February 2022. Participants completed Ag-RDT and molecular testing (RT-PCR) for SARS-CoV-2 every 48 hours for 15 days. This analysis was limited to participants who were asymptomatic and tested negative on their first day of study participation. Onset of infection was defined as the day of first positive RT-PCR result. Sensitivity of Ag-RDT was measured based on testing once, twice (after 48-hours), and thrice (after 96 hours). Analysis was repeated for different Days Post Index PCR Positivity (DPIPP) and stratified based on symptom-status. Results In total, 5,609 of 7,361 participants were eligible for this analysis. Among 154 participants who tested positive for SARS-CoV-2, 97 were asymptomatic and 57 had symptoms at infection onset. Serial testing with Ag-RDT twice 48-hours apart resulted in an aggregated sensitivity of 93.4% (95% CI: 89.1-96.1%) among symptomatic participants on DPIPP 0-6. Excluding singleton positives, aggregated sensitivity on DPIPP 0-6 for two-time serial-testing among asymptomatic participants was lower at 62.7% (54.7-70.0%) but improved to 79.0% (71.0-85.3%) with testing three times at 48-hour intervals. Discussion Performance of Ag-RDT was optimized when asymptomatic participants tested three-times at 48-hour intervals and when symptomatic participants tested two-times separated by 48-hours.
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Soni A, Herbert C, Pretz C, Stamegna P, Filippaios A, Shi Q, Suvarna T, Harman E, Schrader S, Nowak C, Schramm E, Kheterpal V, Behar S, Tarrant S, Ferranto J, Hafer N, Robinson M, Achenbach C, Murphy RL, Manabe YC, Gibson L, Barton B, O'Connor L, Fahey N, Orvek E, Lazar P, Ayturk D, Wong S, Zai A, Cashman L, Rao LV, Luzuriaga K, Lemon S, Blodgett A, Trippe E, Barcus M, Goldberg B, Roth K, Stenzel T, Heetderks W, Broach J, McManus D. Finding a Needle in a Haystack: Design and Implementation of a Digital Site-less Clinical Study of Serial Rapid Antigen Testing to Identify Asymptomatic SARS-CoV-2 Infection. medRxiv 2023:2022.08.04.22278274. [PMID: 35982663 PMCID: PMC9387154 DOI: 10.1101/2022.08.04.22278274] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Background Rapid antigen tests (Ag-RDT) for SARS-CoV-2 with Emergency Use Authorization generally include a condition of authorization to evaluate the test's performance in asymptomatic individuals when used serially. Objective To describe a novel study design to generate regulatory-quality data to evaluate serial use of Ag-RDT in detecting SARS-CoV-2 virus among asymptomatic individuals. Design Prospective cohort study using a decentralized approach. Participants were asked to test using Ag-RDT and molecular comparators every 48 hours for 15 days. Setting Participants throughout the mainland United States were enrolled through a digital platform between October 18, 2021 and February 15, 2022. Ag-RDTs were completed at home, and molecular comparators were shipped to a central laboratory. Participants Individuals over 2 years old from across the U.S. with no reported COVID-19 symptoms in the 14 days prior to study enrollment were eligible to enroll in this study. Measurements Enrollment demographics, geographic distribution, and SARS-CoV-2 infection rates are reported. Key Results A total of 7,361 participants enrolled in the study, and 492 participants tested positive for SARS-CoV-2, including 154 who were asymptomatic and tested negative to start the study. This exceeded the initial enrollment goals of 60 positive participants. We enrolled participants from 44 U.S. states, and geographic distribution of participants shifted in accordance with the changing COVID-19 prevalence nationwide. Limitations New, complex workflows required significant operational and data team support. Conclusions: The digital site-less approach employed in the 'Test Us At Home' study enabled rapid, efficient, and rigorous evaluation of rapid diagnostics for COVID-19, and can be adapted across research disciplines to optimize study enrollment and accessibility.
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Soni A, Herbert C, Filippaios A, Broach J, Colubri A, Fahey N, Woods K, Nanavati J, Wright C, Orwig T, Gilliam K, Kheterpal V, Suvarna T, Nowak C, Schrader S, Lin H, O'Connor L, Pretz C, Ayturk D, Orvek E, Flahive J, Lazar P, Shi Q, Achenbach C, Murphy R, Robinson M, Gibson L, Stamegna P, Hafer N, Luzuriaga K, Barton B, Heetderks W, Manabe YC, McManus D. Comparison of Rapid Antigen Tests' Performance Between Delta and Omicron Variants of SARS-CoV-2 : A Secondary Analysis From a Serial Home Self-testing Study. Ann Intern Med 2022; 175:1685-1692. [PMID: 36215709 PMCID: PMC9578286 DOI: 10.7326/m22-0760] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND It is important to document the performance of rapid antigen tests (Ag-RDTs) in detecting SARS-CoV-2 variants. OBJECTIVE To compare the performance of Ag-RDTs in detecting the Delta (B.1.617.2) and Omicron (B.1.1.529) variants of SARS-CoV-2. DESIGN Secondary analysis of a prospective cohort study that enrolled participants between 18 October 2021 and 24 January 2022. Participants did Ag-RDTs and collected samples for reverse transcriptase polymerase chain reaction (RT-PCR) testing every 48 hours for 15 days. SETTING The parent study enrolled participants throughout the mainland United States through a digital platform. All participants self-collected anterior nasal swabs for rapid antigen testing and RT-PCR testing. All Ag-RDTs were completed at home, whereas nasal swabs for RT-PCR were shipped to a central laboratory. PARTICIPANTS Of 7349 participants enrolled in the parent study, 5779 asymptomatic persons who tested negative for SARS-CoV-2 on day 1 of the study were eligible for this substudy. MEASUREMENTS Sensitivity of Ag-RDTs on the same day as the first positive (index) RT-PCR result and 48 hours after the first positive RT-PCR result. RESULTS A total of 207 participants were positive on RT-PCR (58 Delta, 149 Omicron). Differences in sensitivity between variants were not statistically significant (same day: Delta, 15.5% [95% CI, 6.2% to 24.8%] vs. Omicron, 22.1% [CI, 15.5% to 28.8%]; at 48 hours: Delta, 44.8% [CI, 32.0% to 57.6%] vs. Omicron, 49.7% [CI, 41.6% to 57.6%]). Among 109 participants who had RT-PCR-positive results for 48 hours, rapid antigen sensitivity did not differ significantly between Delta- and Omicron-infected participants (48-hour sensitivity: Delta, 81.5% [CI, 66.8% to 96.1%] vs. Omicron, 78.0% [CI, 69.1% to 87.0%]). Only 7.2% of the 69 participants with RT-PCR-positive results for shorter than 48 hours tested positive by Ag-RDT within 1 week; those with Delta infections remained consistently negative on Ag-RDTs. LIMITATION A testing frequency of 48 hours does not allow a finer temporal resolution of the analysis of test performance, and the results of Ag-RDTs are based on self-report. CONCLUSION The performance of Ag-RDTs in persons infected with the SARS-CoV-2 Omicron variant is not inferior to that in persons with Delta infections. Serial testing improved the sensitivity of Ag-RDTs for both variants. The performance of rapid antigen testing varies on the basis of duration of RT-PCR positivity. PRIMARY FUNDING SOURCE National Heart, Lung, and Blood Institute of the National Institutes of Health.
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Affiliation(s)
- Apurv Soni
- Program in Digital Medicine and Division of Clinical Informatics, Department of Medicine, and Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts (A.S.)
| | - Carly Herbert
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (C.H., A.F., K.W., J.N., C.W., T.O., K.G., C.P.)
| | - Andreas Filippaios
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (C.H., A.F., K.W., J.N., C.W., T.O., K.G., C.P.)
| | - John Broach
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (J.B., L.O.)
| | - Andres Colubri
- Department of Microbiology and Physiological Systems, University of Massachusetts Chan Medical School, Worcester, Massachusetts (A.C.)
| | - Nisha Fahey
- Program in Digital Medicine, Department of Medicine, Department of Population and Quantitative Health Sciences, and Department of Pediatrics, University of Massachusetts Chan Medical School, Worcester, Massachusetts (N.F.)
| | - Kelsey Woods
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (C.H., A.F., K.W., J.N., C.W., T.O., K.G., C.P.)
| | - Janvi Nanavati
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (C.H., A.F., K.W., J.N., C.W., T.O., K.G., C.P.)
| | - Colton Wright
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (C.H., A.F., K.W., J.N., C.W., T.O., K.G., C.P.)
| | - Taylor Orwig
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (C.H., A.F., K.W., J.N., C.W., T.O., K.G., C.P.)
| | - Karen Gilliam
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (C.H., A.F., K.W., J.N., C.W., T.O., K.G., C.P.)
| | - Vik Kheterpal
- CareEvolution, Ann Arbor, Michigan (V.K., T.S., C.N., S.S.)
| | - Thejas Suvarna
- CareEvolution, Ann Arbor, Michigan (V.K., T.S., C.N., S.S.)
| | - Chris Nowak
- CareEvolution, Ann Arbor, Michigan (V.K., T.S., C.N., S.S.)
| | | | - Honghuang Lin
- Program in Digital Medicine and Division of Clinical Informatics, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (H.L.)
| | - Laurel O'Connor
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (J.B., L.O.)
| | - Caitlin Pretz
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (C.H., A.F., K.W., J.N., C.W., T.O., K.G., C.P.)
| | - Didem Ayturk
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts (D.A., E.O., J.F., P.L., B.B.)
| | - Elizabeth Orvek
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts (D.A., E.O., J.F., P.L., B.B.)
| | - Julie Flahive
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts (D.A., E.O., J.F., P.L., B.B.)
| | - Peter Lazar
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts (D.A., E.O., J.F., P.L., B.B.)
| | - Qiming Shi
- Program in Digital Medicine, Department of Medicine, Department of Population and Quantitative Health Sciences, and University of Massachusetts Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, Massachusetts (Q.S.)
| | - Chad Achenbach
- Division of Infectious Disease, Department of Medicine, Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, Illinois (C.A., R.M.)
| | - Robert Murphy
- Division of Infectious Disease, Department of Medicine, Havey Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, Illinois (C.A., R.M.)
| | - Matthew Robinson
- Division of Infectious Disease, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland (M.R., Y.C.M.)
| | - Laura Gibson
- Department of Pediatrics and Division of Infectious Disease, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (L.G.)
| | - Pamela Stamegna
- University of Massachusetts Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, Massachusetts (P.S., N.H.)
| | - Nathaniel Hafer
- University of Massachusetts Center for Clinical and Translational Science, University of Massachusetts Chan Medical School, Worcester, Massachusetts (P.S., N.H.)
| | - Katherine Luzuriaga
- University of Massachusetts Center for Clinical and Translational Science and Program in Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts (K.L.)
| | - Bruce Barton
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts (D.A., E.O., J.F., P.L., B.B.)
| | - William Heetderks
- National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland (W.H.)
| | - Yukari C Manabe
- Division of Infectious Disease, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland (M.R., Y.C.M.)
| | - David McManus
- Program in Digital Medicine and Division of Cardiology, Department of Medicine, and Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts (D.M.)
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Herbert C, Broach J, Heetderks W, Qashu F, Gibson L, Pretz C, Woods K, Kheterpal V, Suvarna T, Nowak C, Lazar P, Ayturk D, Barton B, Achenbach C, Murphy R, McManus D, Soni A. Feasibility of At-Home Serial Testing Using Over-the-Counter SARS-CoV-2 Tests With a Digital Smartphone App for Assistance: Longitudinal Cohort Study. JMIR Form Res 2022; 6:e35426. [PMID: 36041004 PMCID: PMC9580993 DOI: 10.2196/35426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 08/24/2022] [Accepted: 08/25/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The ongoing SARS-CoV-2 pandemic necessitates the development of accurate, rapid, and affordable diagnostics to help curb disease transmission, morbidity, and mortality. Rapid antigen tests are important tools for scaling up testing for SARS-CoV-2; however, little is known about individuals' use of rapid antigen tests at home and how to facilitate the user experience. OBJECTIVE This study aimed to describe the feasibility and acceptability of serial self-testing with rapid antigen tests for SARS-CoV-2, including need for assistance and the reliability of self-interpretation. METHODS A total of 206 adults in the United States with smartphones were enrolled in this single-arm feasibility study in February and March 2021. All participants were asked to self-test for COVID-19 at home using rapid antigen tests daily for 14 days and use a smartphone app for testing assistance and to report their results. The main outcomes were adherence to the testing schedule, the acceptability of testing and smartphone app experiences, and the reliability of participants versus study team's interpretation of test results. Descriptive statistics were used to report the acceptability, adherence, overall rating, and experience of using the at-home test and MyDataHelps app. The usability, acceptability, adherence, and quality of at-home testing were analyzed across different sociodemographic, age, and educational attainment groups. RESULTS Of the 206 enrolled participants, 189 (91.7%) and 159 (77.2%) completed testing and follow-up surveys, respectively. In total, 51.3% (97/189) of study participants were women, the average age was 40.7 years, 34.4% (65/189) were non-White, and 82% (155/189) had a bachelor's degree or higher. Most (n=133/206, 64.6%) participants showed high testing adherence, meaning they completed over 75% of the assigned tests. Participants' interpretations of test results demonstrated high agreement (2106/2130, 98.9%) with the study verified results, with a κ score of 0.29 (P<.001). Participants reported high satisfaction with self-testing and the smartphone app, with 98.7% (157/159) reporting that they would recommend the self-test and smartphone app to others. These results were consistent across age, race/ethnicity, and gender. CONCLUSIONS Participants' high adherence to the recommended testing schedule, significant reliability between participants and study staff's test interpretation, and the acceptability of the smartphone app and self-test indicate that self-tests for SARS-CoV-2 with a smartphone app for assistance and reporting is a highly feasible testing modality among a diverse population of adults in the United States.
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Affiliation(s)
- Carly Herbert
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - John Broach
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.,UMass Memorial Medical Center, Worcester, MA, United States
| | - William Heetderks
- National Institute of Biomedical Imaging and Bioengineering, Bethesda, MD, United States
| | - Felicia Qashu
- National Institutes of Health, Bethesda, MD, United States
| | - Laura Gibson
- Division of Infectious Disease and Immunology, Departments of Medicine and Pediatrics, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Caitlin Pretz
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Kelsey Woods
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | | | | | | | - Peter Lazar
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Didem Ayturk
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Bruce Barton
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Chad Achenbach
- Division of Infectious Disease, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Robert Murphy
- Division of Infectious Disease, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - David McManus
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.,Department of Cardiology, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Apurv Soni
- Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.,Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States
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Kovell LC, Meyerovitz CV, Skaritanov E, Ayturk D, Person SD, Kumaraswami T, Juraschek SP, Moore Simas TA. Hypertension and contraceptive use among women of child-bearing age in the United States from 2001 to 2018. J Hypertens 2022; 40:776-784. [PMID: 35081582 PMCID: PMC10122757 DOI: 10.1097/hjh.0000000000003077] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND Hypertension (HTN) in pregnancy is a leading cause of maternal mortality in the United States. Contraception is widely used, and estrogen-based combined hormonal forms are known to increase blood pressure (BP). With nearly half of pregnancies unplanned and many antihypertensive medications teratogenic, appropriate contraception is critical in child-bearing age women with HTN. METHODS Using the National Health and Nutrition Examination Surveys (NHANES) from 2001 to 2018, we evaluated contraception and antihypertensive medication use in women of child-bearing age (20-50 years). Women who had undergone sterilization or menopause were excluded. HTN was defined based on a self-reported provider diagnosis and BP ≥130/80 mm Hg or antihypertensive medication use. Contraception included non-barrier methods (pills/patch/ring, injections, long-acting reversible contraceptives) or consistent condom use. Multivariable logistic regression was used to model the odds of contraception use. Temporal trends in contraception use were reported. RESULTS Of the 8726 women, 12.4% had HTN with mean age (standard error) 36.0 (0.3) years. In women with HTN, 9.2% used non-barrier contraception and 10.4% used condoms only. Over half (52.7%) of women with HTN on antihypertensive medications were taking medications contraindicated in pregnancy, with no difference seen by contraceptive status. In logistic regression models, contraceptive use was lower in the older-aged women. In women with HTN on non-barrier contraception, combined hormonal contraceptive use declined, from 100% (2001-2006) to 81.4% (2013-2018, P < 0.001). CONCLUSIONS Many women with self-reported HTN are not using adequate contraception. Of the small proportion on non-barrier contraceptives, the majority are using estrogen-based, BP-raising methods.
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Affiliation(s)
- Lara C. Kovell
- Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School
| | | | | | - Didem Ayturk
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School
| | - Sharina D. Person
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School
| | - Tara Kumaraswami
- Department of Obstetrics and Gynecology, University of Massachusetts Medical School, Worcester
| | - Stephen P. Juraschek
- Division of General Medicine, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston
| | - Tiffany A. Moore Simas
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School
- Department of Obstetrics and Gynecology, University of Massachusetts Medical School, Worcester
- Departments of Pediatrics and Psychiatry, University of Massachusetts Medical School, Worcester, MA, USA
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Soni A, Herbert C, Filippaios A, Broach J, Colubri A, Fahey N, Woods K, Nanavati J, Wright C, Orwig T, Gilliam K, Kheterpal V, Suvarna T, Nowak C, Schrader S, Lin H, O'Connor L, Pretz C, Ayturk D, Orvek E, Flahive J, Lazar P, Shi Q, Achenbach C, Murphy R, Robinson M, Gibson L, Stamegna P, Hafer N, Luzuriaga K, Barton B, Heetderks W, Manabe YC, McManus D. Comparison of Rapid Antigen Tests' Performance between Delta (B.1.61.7; AY.X) and Omicron (B.1.1.529; BA1) Variants of SARS-CoV-2: Secondary Analysis from a Serial Home Self-Testing Study. medRxiv 2022. [PMID: 35262091 DOI: 10.1101/2022.02.27.22271090] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Background There is a need to understand the performance of rapid antigen tests (Ag-RDT) for detection of the Delta (B.1.61.7; AY.X) and Omicron (B.1.1.529; BA1) SARS-CoV-2 variants. Methods Participants without any symptoms were enrolled from October 18, 2021 to January 24, 2022 and performed Ag-RDT and RT-PCR tests every 48 hours for 15 days. This study represents a non-pre-specified analysis in which we sought to determine if sensitivity of Ag-RDT differed in participants with Delta compared to Omicron variant. Participants who were positive on RT-PCR on the first day of the testing period were excluded. Delta and Omicron variants were defined based on sequencing and date of first RT-PCR positive result (RT-PCR+). Comparison of Ag-RDT performance between the variants was based on sensitivity, defined as proportion of participants with Ag-RDT+ results in relation to their first RT-PCR+ result, for different duration of testing with rapid Ag-RDT. Subsample analysis was performed based on the result of participants' second RT-PCR test within 48 hours of the first RT-PCR+ test. Results From the 7,349 participants enrolled in the parent study, 5,506 met the eligibility criteria for this analysis. A total of 153 participants were RT-PCR+ (61 Delta, 92 Omicron); among this group, 36 (23.5%) tested Ag-RDT+ on the same day, and 84 (54.9%) tested Ag-RDT+ within 48 hours as first RT-PCR+. The differences in sensitivity between variants were not statistically significant (same-day: Delta 16.4% [95% CI: 8.2-28.1] vs Omicron 28.2% [95% CI: 19.4-38.6]; and 48-hours: Delta 45.9% [33.1-59.2] vs. Omicron 60.9% [50.1-70.9]). This trend continued among the 86 participants who had consecutive RT-PCR+ result (48-hour sensitivity: Delta 79.3% [60.3-92.1] vs. Omicron: 89.5% [78.5-96.0]). Conversely, the 38 participants who had an isolated RT-PCR+ remained consistently negative on Ag-RDT, regardless of the variant. Conclusions The performance of Ag-RDT is not inferior among individuals infected with the SARS-CoV-2 Omicron variant as compared to the Delta variant. The improvement in sensitivity of Ag-RDT noted with serial testing is consistent between Delta and Omicron variant. Performance of Ag-RDT varies based on duration of RT-PCR+ results and more studies are needed to understand the clinical and public health significance of individuals who are RT-PCR+ for less than 48 hours.
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Meyerovitz C, Skaritanov E, Ayturk D, Person SD, Kumaraswami T, Juraschek SP, Simas TAM, Kovell L. TRENDS IN CONTRACEPTION USE AMONG WOMEN OF CHILD-BEARING AGE WITH HYPERTENSION IN THE UNITED STATES FROM 2001-2018. J Am Coll Cardiol 2022. [DOI: 10.1016/s0735-1097(22)02561-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Macnow T, Curran T, Tolliday C, Martin K, McCarthy M, Ayturk D, Babu KM, Mannix R. Effect of Screen Time on Recovery From Concussion: A Randomized Clinical Trial. JAMA Pediatr 2021; 175:1124-1131. [PMID: 34491285 PMCID: PMC8424526 DOI: 10.1001/jamapediatrics.2021.2782] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
IMPORTANCE There are limited data to guide screen time recommendations after concussion. OBJECTIVE To determine whether screen time in the first 48 hours after concussion has an effect on the duration of concussive symptoms. DESIGN, SETTING, AND PARTICIPANTS This randomized clinical trial was conducted in the pediatric and adult emergency departments of a tertiary medical center between June 2018 and February 2020. Participants included a convenience sample of patients aged 12 to 25 years presenting to the emergency department within 24 hours of sustaining a concussion. A total of 162 patients were approached, 22 patients met exclusion criteria, and 15 patients declined participation; 125 participants were enrolled and randomized. INTERVENTIONS Patients were either permitted to engage in screen time (screen time permitted group) or asked to abstain from screen time (screen time abstinent group) for 48 hours after injury. MAIN OUTCOMES AND MEASURES The primary outcome was days to resolution of symptoms, defined as a total Post-Concussive Symptom Scale (PCSS) score of 3 points or lower. Patients completed the PCSS, a 22-symptom scale that grades each symptom from 0 (not present) to 6 (severe), each day for 10 days. Kaplan-Meier curves and Cox regression modeling were used to compare the 2 groups. A Wilcoxon rank sum test was also performed among participants who completed the PCSS each day through recovery or conclusion of the study period. RESULTS Among 125 patients with concussion, the mean (SD) age was 17.0 (3.4) years; 64 participants (51.2%) were male. A total of 66 patients were randomized to the screen time permitted group, and 59 patients were randomized to the screen time abstinent group. The Cox regression model including the intervention group and the patient's self-identified sex demonstrated a significant effect of screen time (hazard ratio [HR], 0.51; 95% CI, 0.29-0.90), indicating that participants who engaged in screen time were less likely to recover during the study period. In total, 91 patients were included in the Wilcoxon rank sum test (47 patients from the screen time permitted group, and 44 patients from the screen time abstinent group). The screen time permitted group had a significantly longer median recovery time of 8.0 days (interquartile range [IQR], 3.0 to >10.0 days) compared with 3.5 days (IQR, 2.0 to >10.0 days; P = .03) in the screen time abstinent group. The screen time permitted group reported a median screen time of 630 minutes (IQR, 415-995 minutes) during the intervention period compared with 130 minutes (IQR, 61-275 minutes) in the screen time abstinent group. CONCLUSIONS AND RELEVANCE The findings of this study indicated that avoiding screen time during acute concussion recovery may shorten the duration of symptoms. A multicenter study would help to further assess the effect of screen time exposure. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT03564210.
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Affiliation(s)
- Theodore Macnow
- University of Massachusetts Medical School, Worcester,Department of Pediatrics, UMass Memorial Children’s Medical Center, Worcester, Massachusetts
| | - Tess Curran
- University of Massachusetts Medical School, Worcester
| | - Courtney Tolliday
- Department of Pediatrics, UMass Memorial Children’s Medical Center, Worcester, Massachusetts
| | - Kirsti Martin
- Department of Pediatrics, UMass Memorial Children’s Medical Center, Worcester, Massachusetts
| | - Madeline McCarthy
- University of Massachusetts Medical School, Worcester,Department of Pediatrics, UMass Memorial Children’s Medical Center, Worcester, Massachusetts
| | - Didem Ayturk
- University of Massachusetts Medical School, Worcester
| | - Kavita M. Babu
- University of Massachusetts Medical School, Worcester,Department of Emergency Medicine, UMass Memorial Medical Center, Worcester, Massachusetts
| | - Rebekah Mannix
- Division of Emergency Medicine, Boston Children’s Hospital, Boston, Massachusetts,Departments of Pediatrics and Emergency Medicine, Harvard Medical School, Boston, Massachusetts
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13
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Kovell LC, Maxner B, Ayturk D, Moore Simas TA, Harrington CM, McManus DD, Gardiner P, Aurigemma GP, Juraschek SP. Dietary Habits and Medications to Control Hypertension Among Women of Child-Bearing Age in the United States from 2001 to 2016. Am J Hypertens 2021; 34:919-928. [PMID: 33693539 DOI: 10.1093/ajh/hpab041] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 01/27/2021] [Accepted: 03/02/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Hypertension (HTN) in pregnancy is a leading cause of maternal morbidity and mortality in the United States. Although the Dietary Approaches to Stop Hypertension (DASH) diet is recommended for all adults with HTN, rates of DASH adherence and antihypertensive medication use in women of child-bearing age are unknown. Our objectives were to determine DASH adherence and antihypertensive medication use in women of child-bearing age. METHODS In the National Health and Nutrition Examination Surveys from 2001 to 2016, we estimated DASH adherence among women of child-bearing age (20-50 years). We derived a DASH score (0-9) based on 9 nutrients, with DASH adherence defined as DASH score ≥4.5. HTN was defined by blood pressure (BP) ≥130/80 mm Hg or antihypertensive medication use. DASH scores were compared across BP categories and antihypertensive medication use was categorized. RESULTS Of the 7,782 women, the mean age (SE) was 32.8 (0.2) years, 21.4% were non-Hispanic Black, and 20.3% had HTN. The mean DASH score was 2.11 (0.06) for women with self-reported HTN and 2.40 (0.03) for women with normal BP (P < 0.001). DASH adherence was prevalent in 6.5% of women with self-reported HTN compared with 10.1% of women with normal BP (P < 0.05). Self-reported HTN is predominantly managed with medications (84.8%), while DASH adherence has not improved in these women from 2001 to 2016. Moreover, 39.5% of US women of child-bearing age are taking medications contraindicated in pregnancy. CONCLUSIONS Given the benefits of optimized BP during pregnancy, this study highlights the critical need to improve DASH adherence and guide prescribing among women of child-bearing age.
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Affiliation(s)
- Lara C Kovell
- Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Benjamin Maxner
- Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Didem Ayturk
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Tiffany A Moore Simas
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA
- Department of Obstetrics and Gynecology, Pediatrics and Psychiatry, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Colleen M Harrington
- Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - David D McManus
- Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Paula Gardiner
- Department of Family Medicine and Community Health, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Gerard P Aurigemma
- Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Stephen P Juraschek
- Division of General Medicine, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, Massachusetts, USA
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14
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Kovell LC, Meyerovitz C, Ayturk D, Juraschek SP, Moore Simas TA, PERSON SD, Lemon SC, McManus DD. Abstract MP66: Social Determinants And Co-morbid Conditions In Women Of Child-bearing Age With Hypertension From 2001-2018. Hypertension 2021. [DOI: 10.1161/hyp.78.suppl_1.mp66] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Hypertension (HTN) is the most important modifiable risk factor of serious maternal mortality and morbidity. Social determinants, including economic stability and access to healthcare, influence HTN outcomes and are critical to understanding and addressing racial and ethnic differences in HTN control.
Objective:
To assess social determinants and co-morbidities in US women of child-bearing age with HTN by race/ethnicity
Methods:
We studied women (age 20-50) with HTN in the National Health and Nutrition Examination Surveys 2001-2018. Social determinants and co-morbid conditions were examined in groups categorized by race/ethnicity - Non-Hispanic White (White), Non-Hispanic Black (Black), and Hispanic. Demographics, anthropometric measures, and co-morbid conditions were compared with White women as reference.
Results:
In all women with HTN, the mean (SE) age was 36.0 (0.3) years and 63% were on BP medication. Compared to white women, Black and Hispanic women had lower food security, poverty income ratio, smoking use, and private insurance (all p<0.0001,
Table
). Black women had higher BP medication use, BMI, and BP compared to White women (all p<0.0001). Hispanic women had higher rates of diabetes (p=0.009) and no place to go for healthcare (p=0.005) compared to White women. Food insecurity was present in 34% of Hispanic women.
Conclusions:
Despite effective diagnostics and therapy, health inequity is common in women of child-bearing age with HTN, with differences by race/ethnicity in social determinants and co-morbid conditions. Each racial/ethnic group with HTN brings social determinants and comorbid conditions important for providers to recognize.
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Kovell L, Meyerovitz CV, Ayturk D, Person S, Juraschek SP, Simas TAM. HYPERTENSION AND CONTRACEPTION USE AMONG WOMEN OF CHILD-BEARING AGE IN THE UNITED STATES FROM 2001-2018. J Am Coll Cardiol 2021. [DOI: 10.1016/s0735-1097(21)04749-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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16
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Bloch-Salisbury E, Bogen D, Vining M, Netherton D, Rodriguez N, Bruch T, Burns C, Erceg E, Glidden B, Ayturk D, Aurora S, Yanowitz T, Barton B, Beers S. Study design and rationale for a randomized controlled trial to assess effectiveness of stochastic vibrotactile mattress stimulation versus standard non-oscillating crib mattress for treating hospitalized opioid-exposed newborns. Contemp Clin Trials Commun 2021; 21:100737. [PMID: 33748529 PMCID: PMC7960539 DOI: 10.1016/j.conctc.2021.100737] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 01/12/2021] [Accepted: 01/29/2021] [Indexed: 12/20/2022] Open
Abstract
The incidence of Neonatal Abstinence Syndrome (NAS) continues to rise and there remains a critical need to develop non-pharmacological interventions for managing opioid withdrawal in newborns. Objective physiologic markers of opioid withdrawal in the newborn remain elusive. Optimal treatment strategies for improving short-term clinical outcomes and promoting healthy neurobehavioral development have yet to be defined. This dual-site randomized controlled trial (NCT02801331) is designed to evaluate the therapeutic efficacy of stochastic vibrotactile stimulation (SVS) for reducing withdrawal symptoms, pharmacological treatment, and length of hospitalization, and for improving developmental outcomes in opioid-exposed neonates. Hospitalized newborns (n = 230) receiving standard clinical care for prenatal opioid exposure will be randomly assigned within 48-hours of birth to a crib with either: 1) Intervention (SVS) mattress: specially-constructed SVS crib mattress that delivers gentle vibrations (30–60 Hz, ~12 μm RMS surface displacement) at 3-hr intervals; or 2) Control mattress (treatment as usual; TAU): non-oscillating hospital-crib mattress. Infants will be studied throughout their hospitalization and post discharge to 14-months of age. The study will compare clinical measures (i.e., withdrawal scores, cumulative dose and duration of medications, velocity of weight gain) and characteristic progression of physiologic activity (i.e., limb movement, cardio-respiratory, temperature, blood-oxygenation) throughout hospitalization between opioid-exposed infants who receive SVS and those who receive TAU. Developmental outcomes (i.e., physical, social, emotional and cognitive) within the first year of life will be evaluated between the two study groups. Findings from this randomized controlled trial will determine whether SVS reduces in-hospital severity of NAS, improves physiologic function, and promotes healthy development.
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Affiliation(s)
- Elisabeth Bloch-Salisbury
- Department of Pediatrics, University of Massachusetts Medical School, Worcester, MA, 01655, USA
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA
- Corresponding author. Department of Psychiatry University of Pittsburgh School of Medicine, 3501 Forbes Avenue, Pittsburgh, PA, 15213, USA.
| | - Debra Bogen
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA
| | - Mark Vining
- Department of Pediatrics, University of Massachusetts Medical School, Worcester, MA, 01655, USA
| | - Dane Netherton
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, 01655, USA
| | - Nicolas Rodriguez
- Department of Pediatrics, University of Massachusetts Medical School, Worcester, MA, 01655, USA
| | - Tory Bruch
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA
| | - Cheryl Burns
- University of Pittsburgh Medical Center, Pittsburgh, PA, 15213, USA
| | - Emily Erceg
- University of Pittsburgh Medical Center, Pittsburgh, PA, 15213, USA
| | - Barbara Glidden
- Department of Pediatrics, University of Massachusetts Medical School, Worcester, MA, 01655, USA
| | - Didem Ayturk
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, 01655, USA
| | - Sanjay Aurora
- Department of Pediatrics, University of Massachusetts Medical School, Worcester, MA, 01655, USA
| | - Toby Yanowitz
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA
| | - Bruce Barton
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, 01655, USA
| | - Sue Beers
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA
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17
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Daniel VT, Ayturk D, Kiefe CI, Santry HP. The current State of the acute care surgery workforce: A boots on the ground perspective. Am J Surg 2018; 216:1076-1081. [PMID: 30224074 DOI: 10.1016/j.amjsurg.2018.08.023] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2018] [Revised: 08/23/2018] [Accepted: 08/30/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND Acute care surgery (ACS) was proposed to address a general surgery workforce crisis; however, the ACS workforce composition is unknown. A national survey was conducted to determine the differences in the emergency general surgery (EGS) workforce between ACS and non-ACS hospitals. METHODS The American Hospital Association (AHA) Annual Survey of Hospitals database was queried to identify acute care general hospitals. A hybrid mail/electronic survey was sent to 2811 acute care hospitals that met the inclusion criteria of hospitals that care for adult patients (≥18 years old) with an emergency room (ER), ≥ 1 operating room (OR), and 24-h ER access. Hospitals were queried on whether they utilized an ACS model. The workforce composition among ACS and non-ACS hospitals was evaluated using X2 tests, t tests, and Wilcoxon rank-sum tests. RESULTS Survey response was 60% (N = 1690). ACS hospitals had a higher proportion of emergency surgeons who were female (20% vs. 14%, p < 0.0001), newly-trained (17% vs 10%, p < 0.0001), critical care trained (78% vs. 31%, p < 0.0001), and who had an additional degree (35% vs. 13%, p < 0.0001). More ACS hospitals had 24/7 in-house OR nursing staff (72% vs. 15%, p < 0.0001) and ancillary staff. CONCLUSIONS ACS and non-ACS hospitals differ in their surgical workforce. It is clear that ACS hospitals have more human capital, which suggests that ACS hospitals may require more dedicated resources compared to non-ACS hospitals.
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Affiliation(s)
- Vijaya T Daniel
- Department of Surgery, University of Massachusetts Medical School, Worcester, MA, USA
| | - Didem Ayturk
- Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA
| | - Catarina I Kiefe
- Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA
| | - Heena P Santry
- Department of Surgery, Ohio State University Wexner Medical Center, Columbus, OH, USA.
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18
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Daniel VT, Ingraham AM, Khubchandani JA, Ayturk D, Kiefe CI, Santry HP. Variations in the Delivery of Emergency General Surgery Care in the Era of Acute Care Surgery. Jt Comm J Qual Patient Saf 2018; 45:14-23. [PMID: 30093364 DOI: 10.1016/j.jcjq.2018.04.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Accepted: 04/24/2018] [Indexed: 01/04/2023]
Abstract
BACKGROUND Acute care surgery (ACS) was proposed to improve emergency general surgery (EGS) care; however, the extent of ACS model adoption in the United States is unknown. A national survey was conducted to ascertain factors associated with variations in EGS models of care, with particular focus on ACS use. METHODS A hybrid mail/electronic survey was sent in 2015 to 2,811 acute care hospitals with an emergency room and an operating room. If a respondent indicated that the approach to EGS was a dedicated clinical team whose scope encompasses EGS (± trauma, ± elective general surgery, ± burns), the hospital was considered an ACS hospital. RESULTS Survey response was 60.1% (n = 1,690); 272 (16.1%) of these hospitals reported having used an ACS model of care for EGS patients. Teaching status and general hospital practices (for example, interventional radiology available within one hour) were associated with ACS use. In bivariate analyses, ACS use was associated with many EGS-specific practices (40.1% of ACS hospitals freed their surgeons of daytime clinical responsibilities after operating overnight vs. 4.7% of general surgeon on call (GSOC) hospitals; p < 0.0001). CONCLUSION There are wide variations in EGS practices in the United States, with use of an ACS model of care being relatively low despite reported benefits of ACS models of care on EGS access, quality, and costs. Hospital factors associated with using ACS models are overall size and higher level of existing resources. These findings could be applied to the development of centers of excellence for EGS care.
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19
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Daniel VT, Ayturk D, Ward DV, McCormick BA, Santry HP. The influence of payor status on outcomes associated with surgical repair of upper gastrointestinal perforations due to peptic ulcer disease in the United States. Am J Surg 2018; 217:121-125. [PMID: 30017307 DOI: 10.1016/j.amjsurg.2018.06.025] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Revised: 06/14/2018] [Accepted: 06/21/2018] [Indexed: 11/29/2022]
Abstract
BACKGROUND An association between lack of insurance and inferior outcomes has been well described for a number of surgical emergencies, yet little is known about the relationship of payor status and outcomes of patients undergoing emergent surgical repair for upper gastrointestinal (UGI) perforations. We evaluated the association of payor status and in-hospital mortality for patients undergoing emergency surgery for UGI perforations in the United States. METHODS Nationwide Inpatient Sample (NIS) was queried to identify patients between 18 and 64 years of age who underwent emergent (open or laparoscopic) repair for UGI perforations secondary to peptic ulcer disease (2010-2014). Primary outcome was in-hospital mortality. Secondary outcomes were major and minor postoperative complications. The main predictor outcome was insurance status (Private, Medicaid, Uninsured). Univariate and multivariable regression analyses were performed. Data were weighted to provide national estimates. RESULTS 21,005 patients underwent surgical repair for UGI perforations. Patients with private insurance represented the largest payor group (47%). After adjustment of other factors, payor status was not a statistically significant predictor of in-hospital mortality (Medicaid vs. Private: [OR] 1.1; 95% [CI] 0.67-1.81; Uninsured vs. Private: OR 0.9, 95% CI 0.52-1.61). However, payor status remained a statistically significant predictor of major postoperative complications (Medicaid vs. Private [OR] 1.4; 95% CI 1.1, 1.8; Uninsured vs. Private [OR]1.2, 95% CI 0.9, 1.5) and minor postoperative complications (Medicaid vs. Private [OR] 1.4; 95% CI 1.1, 1.9; Uninsured vs. Private [OR]1.2, 95% CI 0.9, 1.6). CONCLUSIONS Emergency surgery for UGI perforations is associated with high mortality and morbidity across all payor classes; however, Medicaid is a predictor for both major and minor postoperative complications. Preventing perforation through preventative measures will be key to reducing the burden of peptic ulcer disease across all populations.
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Affiliation(s)
- Vijaya T Daniel
- Department of Surgery, University of Massachusetts Medical School, Worcester, MA, USA.
| | - Didem Ayturk
- Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA
| | - Doyle V Ward
- Center for Microbiome Research, University of Massachusetts Medical School, Worcester, MA, USA
| | - Beth A McCormick
- Center for Microbiome Research, University of Massachusetts Medical School, Worcester, MA, USA
| | - Heena P Santry
- Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA
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20
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Khubchandani JA, Shen C, Ayturk D, Kiefe CI, Santry HP. Disparities in access to emergency general surgery care in the United States. Surgery 2018; 163:243-250. [PMID: 29050886 PMCID: PMC6071308 DOI: 10.1016/j.surg.2017.07.026] [Citation(s) in RCA: 95] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2017] [Revised: 07/13/2017] [Accepted: 07/27/2017] [Indexed: 02/03/2023]
Abstract
BACKGROUND As fewer surgeons take emergency general surgery call and hospitals decrease emergency services, a crisis in access looms in the United States. We examined national emergency general surgery capacity and county-level determinants of access to emergency general surgery care with special attention to disparities. METHODS To identify potential emergency general surgery hospitals, we queried the database of the American Hospital Association for "acute care general hospital," with "surgical services," and "emergency department," and ≥1 "operating room." Internet search and direct contact confirmed emergency general surgery services that covered the emergency room 7 days a week, 24 hours a day. Geographic and population-level emergency general surgery access was derived from Geographic Information Systems and US Census. RESULTS Of the 6,356 hospitals in the 2013 American Hospital Association database, only 2,811 were emergency general surgery hospitals. Counties with greater percentages of black, Hispanic, uninsured, and low-education individuals and rural counties disproportionately lacked access to emergency general surgery care. For example, counties above the 75th percentile of African American population (10.2%) had >80% odds of not having an emergency general surgery hospital compared with counties below the 25th percentile of African American population (0.6%). CONCLUSION Gaps in access to emergency general surgery services exist across the United States, disproportionately affecting underserved, rural communities. Policy initiatives need to increase emergency general surgery capacity nationwide.
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Affiliation(s)
| | | | - Didem Ayturk
- Department of Surgery, University of Massachusetts Medical School, Worcester, MA; Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA
| | - Catarina I Kiefe
- Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA
| | - Heena P Santry
- Department of Surgery, Ohio State University, Columbus, OH.
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Khubchandani JA, Ingraham AM, Daniel VT, Ayturk D, Kiefe CI, Santry HP. Geographic Diffusion and Implementation of Acute Care Surgery: An Uneven Solution to the National Emergency General Surgery Crisis. JAMA Surg 2018; 153:150-159. [PMID: 28979986 PMCID: PMC5838713 DOI: 10.1001/jamasurg.2017.3799] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Accepted: 06/25/2017] [Indexed: 01/14/2023]
Abstract
Importance Owing to lack of adequate emergency care infrastructure and decline in general surgery workforce, the United States faces a crisis in access to emergency general surgery (EGS) care. Acute care surgery (ACS), an organized system of trauma, general surgery, and critical care, is a proposed solution; however, ACS diffusion remains poorly understood. Objective To investigate geographic diffusion of ACS models of care and characterize the communities in which ACS implementation is lagging. Design, Setting, and Participants A national survey on EGS practices was developed, tested, and administered at all 2811 US acute care hospitals providing EGS to adults between August 2015 and October 2015. Surgeons responsible for EGS coverage at these hospitals were approached. If these surgeons failed to respond to the initial survey implementation, secondary surgeons or chief medical officers at hospitals with only 1 general surgeon were approached. Interventions Survey responses on ACS implementation were linked with geocoded hospital data and national census data to determine geographic diffusion of and access to ACS. Main Outcomes and Measures We measured the distribution of hospitals with ACS models of care vs those without over time (diffusion) and by US counties characterized by sociodemographic characteristics of county residents (access). Results Survey response rate was 60% (n = 1690); 272 responding hospitals had implemented ACS by 2015, steadily increasing from 34 in 2001 to 125 in 2010. Acute care surgery implementation has not been uniform. Rural regions have limited ACS access, with hospitals in counties with greater than the 75th percentile population having 5.4 times higher odds (95% CI, 1.66-7.35) of implementing ACS than hospitals in counties with less than 25th percentile population. Communities with greater percentages of adults without a college degree also have limited ACS access (OR, 3.43; 95% CI, 1.81-6.48). However, incorporating EGS into ACS models may be a potential equalizer for poor, black, and Hispanic communities. Conclusions and Relevance Understanding and addressing gaps in ACS implementation across communities will be crucial to ensuring health equity for US residents experiencing general surgery emergencies.
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Affiliation(s)
| | | | - Vijaya T. Daniel
- University of Massachusetts Medical School, Department of Surgery, Worcester
| | - Didem Ayturk
- University of Massachusetts Medical School, Department of Surgery, Worcester
| | - Catarina I. Kiefe
- University of Massachusetts Medical School, Department of Quantitative Health Sciences, Worcester
| | - Heena P. Santry
- University of Massachusetts Medical School, Department of Surgery, Worcester
- University of Massachusetts Medical School, Department of Quantitative Health Sciences, Worcester
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Muehlschlegel S, Ayturk D, Ahlawat A, Izzy S, Scalea TM, Stein DM, Emhoff T, Sheth KN. Predicting survival after acute civilian penetrating brain injuries: The SPIN score. Neurology 2016; 87:2244-2253. [PMID: 27784772 PMCID: PMC5123553 DOI: 10.1212/wnl.0000000000003355] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2016] [Accepted: 08/11/2016] [Indexed: 02/04/2023] Open
Abstract
OBJECTIVE To identify predictors associated with survival in civilian penetrating traumatic brain injury (pTBI) utilizing a contemporary, large, diverse 2-center cohort, and to develop a parsimonious survival prediction score for pTBI. METHODS Our cohort comprised 413 pTBI patients retrospectively identified from the local trauma registries at 2 US level 1 trauma centers, of which one was predominantly urban and the other predominantly rural. Predictors of in-hospital and 6-month survival identified in univariate and multivariable logistic regression were used to develop the simple Surviving Penetrating Injury to the Brain (SPIN) score. RESULTS The mean age was 33 ± 16 years and patients were predominantly male (87%). Survival at hospital discharge as well as 6 months post pTBI was 42.4%. Higher motor Glasgow Coma Scale subscore, pupillary reactivity, lack of self-inflicted injury, transfer from other hospital, female sex, lower Injury Severity Score, and lower international normalized ratio were independently associated with survival (all p < 0.001; model area under the curve 0.962). Important radiologic factors associated with survival were also identified but their addition to the full multivariable would have resulted in model overfitting without much gain in the area under the curve. CONCLUSIONS The SPIN score, a logistic regression-based clinical risk stratification scale estimating survival after pTBI, was developed in this large, diverse 2-center cohort. While this preliminary clinical survival prediction tool does not include radiologic factors, it may support clinical decision-making after civilian pTBI if external validation confirms the probability estimates.
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Affiliation(s)
- Susanne Muehlschlegel
- From the Departments of Neurology (Neurocritical Care) (S.M., A.A.), Surgery (S.M., D.A., T.E.), and Anesthesia/Critical Care (S.M.), University of Massachusetts Medical School, Worcester; Department of Neurology (Division of Neurocritical Care) (S.I.), Massachusetts General Hospital and Brigham & Women's Hospital, Harvard Medical School, Boston; Department of Surgery (T.M.S., D.M.S.), R Adams Cowley Shock Trauma Center, University of Maryland, Baltimore; and Departments of Neurology (Neurocritical Care and Emergency Neurology) (K.N.S.) and Neurosurgery (K.N.S.), Yale University, New Haven, CT.
| | - Didem Ayturk
- From the Departments of Neurology (Neurocritical Care) (S.M., A.A.), Surgery (S.M., D.A., T.E.), and Anesthesia/Critical Care (S.M.), University of Massachusetts Medical School, Worcester; Department of Neurology (Division of Neurocritical Care) (S.I.), Massachusetts General Hospital and Brigham & Women's Hospital, Harvard Medical School, Boston; Department of Surgery (T.M.S., D.M.S.), R Adams Cowley Shock Trauma Center, University of Maryland, Baltimore; and Departments of Neurology (Neurocritical Care and Emergency Neurology) (K.N.S.) and Neurosurgery (K.N.S.), Yale University, New Haven, CT
| | - Aditi Ahlawat
- From the Departments of Neurology (Neurocritical Care) (S.M., A.A.), Surgery (S.M., D.A., T.E.), and Anesthesia/Critical Care (S.M.), University of Massachusetts Medical School, Worcester; Department of Neurology (Division of Neurocritical Care) (S.I.), Massachusetts General Hospital and Brigham & Women's Hospital, Harvard Medical School, Boston; Department of Surgery (T.M.S., D.M.S.), R Adams Cowley Shock Trauma Center, University of Maryland, Baltimore; and Departments of Neurology (Neurocritical Care and Emergency Neurology) (K.N.S.) and Neurosurgery (K.N.S.), Yale University, New Haven, CT
| | - Saef Izzy
- From the Departments of Neurology (Neurocritical Care) (S.M., A.A.), Surgery (S.M., D.A., T.E.), and Anesthesia/Critical Care (S.M.), University of Massachusetts Medical School, Worcester; Department of Neurology (Division of Neurocritical Care) (S.I.), Massachusetts General Hospital and Brigham & Women's Hospital, Harvard Medical School, Boston; Department of Surgery (T.M.S., D.M.S.), R Adams Cowley Shock Trauma Center, University of Maryland, Baltimore; and Departments of Neurology (Neurocritical Care and Emergency Neurology) (K.N.S.) and Neurosurgery (K.N.S.), Yale University, New Haven, CT
| | - Thomas M Scalea
- From the Departments of Neurology (Neurocritical Care) (S.M., A.A.), Surgery (S.M., D.A., T.E.), and Anesthesia/Critical Care (S.M.), University of Massachusetts Medical School, Worcester; Department of Neurology (Division of Neurocritical Care) (S.I.), Massachusetts General Hospital and Brigham & Women's Hospital, Harvard Medical School, Boston; Department of Surgery (T.M.S., D.M.S.), R Adams Cowley Shock Trauma Center, University of Maryland, Baltimore; and Departments of Neurology (Neurocritical Care and Emergency Neurology) (K.N.S.) and Neurosurgery (K.N.S.), Yale University, New Haven, CT
| | - Deborah M Stein
- From the Departments of Neurology (Neurocritical Care) (S.M., A.A.), Surgery (S.M., D.A., T.E.), and Anesthesia/Critical Care (S.M.), University of Massachusetts Medical School, Worcester; Department of Neurology (Division of Neurocritical Care) (S.I.), Massachusetts General Hospital and Brigham & Women's Hospital, Harvard Medical School, Boston; Department of Surgery (T.M.S., D.M.S.), R Adams Cowley Shock Trauma Center, University of Maryland, Baltimore; and Departments of Neurology (Neurocritical Care and Emergency Neurology) (K.N.S.) and Neurosurgery (K.N.S.), Yale University, New Haven, CT
| | - Timothy Emhoff
- From the Departments of Neurology (Neurocritical Care) (S.M., A.A.), Surgery (S.M., D.A., T.E.), and Anesthesia/Critical Care (S.M.), University of Massachusetts Medical School, Worcester; Department of Neurology (Division of Neurocritical Care) (S.I.), Massachusetts General Hospital and Brigham & Women's Hospital, Harvard Medical School, Boston; Department of Surgery (T.M.S., D.M.S.), R Adams Cowley Shock Trauma Center, University of Maryland, Baltimore; and Departments of Neurology (Neurocritical Care and Emergency Neurology) (K.N.S.) and Neurosurgery (K.N.S.), Yale University, New Haven, CT
| | - Kevin N Sheth
- From the Departments of Neurology (Neurocritical Care) (S.M., A.A.), Surgery (S.M., D.A., T.E.), and Anesthesia/Critical Care (S.M.), University of Massachusetts Medical School, Worcester; Department of Neurology (Division of Neurocritical Care) (S.I.), Massachusetts General Hospital and Brigham & Women's Hospital, Harvard Medical School, Boston; Department of Surgery (T.M.S., D.M.S.), R Adams Cowley Shock Trauma Center, University of Maryland, Baltimore; and Departments of Neurology (Neurocritical Care and Emergency Neurology) (K.N.S.) and Neurosurgery (K.N.S.), Yale University, New Haven, CT
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