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Howard LM, Grijalva CG. Impact of respiratory viral infections on nasopharyngeal pneumococcal colonization dynamics in children. Curr Opin Infect Dis 2024; 37:170-175. [PMID: 38437245 DOI: 10.1097/qco.0000000000001008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2024]
Abstract
PURPOSE OF REVIEW Prevention of acute respiratory illnesses (ARI) in children is a global health priority, as these remain a leading cause of pediatric morbidity and mortality throughout the world. As new products and strategies to prevent respiratory infections caused by important pathogens such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza, respiratory syncytial virus and pneumococcus are advancing, increasing evidence suggests that these and other respiratory viruses and pneumococci may exhibit interactions that are associated with altered colonization and disease dynamics. We aim to review recent data evaluating interactions between respiratory viruses and pneumococci in the upper respiratory tract and their potential impact on pneumococcal colonization patterns and disease outcomes. RECENT FINDINGS While interactions between influenza infection and subsequent increased susceptibility and transmissibility of colonizing pneumococci have been widely reported in the literature, emerging evidence suggests that human rhinovirus, SARS-CoV-2, and other viruses may also exhibit interactions with pneumococci and alter pneumococcal colonization patterns. Additionally, colonizing pneumococci may play a role in modifying outcomes associated with respiratory viral infections. Recent evidence suggests that vaccination with pneumococcal conjugate vaccines, and prevention of colonization with pneumococcal serotypes included in these vaccines, may be associated with reducing the risk of subsequent viral infection and the severity of the associated illnesses. SUMMARY Understanding the direction and dynamics of viral-pneumococcal interactions may elucidate the potential effects of existing and emerging viral and bacterial vaccines and other preventive strategies on the health impact of these important respiratory pathogens.
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Affiliation(s)
- Leigh M Howard
- Department of Pediatrics, Division of Infectious Diseases
| | - Carlos G Grijalva
- Departments of Health Policy and Biomedical Informatics, Division of Pharmacoepidemiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Smith-Jeffcoat SE, Biddle JE, Talbot HK, Morrisey KG, Stockwell MS, Maldonado Y, McLean HQ, Ellingson KD, Bowman NM, Asturias E, Mellis AM, Johnson S, Kirking HL, Rolfes MA, Olivo V, Merrill L, Battan-Wraith S, Sano E, McLaren SH, Vargas CY, Goodman S, Sarnquist CC, Govindaranjan P, Petrie JG, Belongia EA, Ledezma K, Pryor K, Lutrick K, Bullock A, Yang A, Haehnel Q, Rao S, Zhu Y, Schmitz J, Hart K, Grijalva CG, Salvatore PP. Symptoms, Viral Loads, and Rebound Among COVID-19 Outpatients Treated With Nirmatrelvir/Ritonavir Compared With Propensity Score-Matched Untreated Individuals. Clin Infect Dis 2024; 78:1175-1184. [PMID: 37963102 PMCID: PMC11090981 DOI: 10.1093/cid/ciad696] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 10/23/2023] [Accepted: 11/03/2023] [Indexed: 11/16/2023] Open
Abstract
BACKGROUND Nirmatrelvir/ritonavir (N/R) reduces severe outcomes from coronavirus disease 2019 (COVID-19); however, rebound after treatment has been reported. We compared symptom and viral dynamics in individuals with COVID-19 who completed N/R treatment and similar untreated individuals. METHODS We identified symptomatic participants who tested severe acute respiratory syndrome coronavirus 2-positive and were N/R eligible from a COVID-19 household transmission study. Index cases from ambulatory settings and their households contacts were enrolled. We collected daily symptoms, medication use, and respiratory specimens for quantitative polymerase chain reaction for 10 days during March 2022-May 2023. Participants who completed N/R treatment (treated) were propensity score matched to untreated participants. We compared symptom rebound, viral load (VL) rebound, average daily symptoms, and average daily VL by treatment status measured after N/R treatment completion or 7 days after symptom onset if untreated. RESULTS Treated (n = 130) and untreated participants (n = 241) had similar baseline characteristics. After treatment completion, treated participants had greater occurrence of symptom rebound (32% vs 20%; P = .009) and VL rebound (27% vs 7%; P < .001). Average daily symptoms were lower among treated participants without symptom rebound (1.0 vs 1.6; P < .01) but not statistically lower with symptom rebound (3.0 vs 3.4; P = .5). Treated participants had lower average daily VLs without VL rebound (0.9 vs 2.6; P < .01) but not statistically lower with VL rebound (4.8 vs 5.1; P = .7). CONCLUSIONS Individuals who completed N/R treatment experienced fewer symptoms and lower VL but rebound occured more often compared with untreated individuals. Providers should prescribe N/R, when indicated, and communicate rebound risk to patients.
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Affiliation(s)
- Sarah E. Smith-Jeffcoat
- Coronavirus and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, GA
| | - Jessica E. Biddle
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA
| | | | | | - Melissa S. Stockwell
- Division of Child and Adolescent Health, Department of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons
- Department of Population and Family Health Columbia University Mailman School of Public Health
- New York-Presbyterian Hospital, New York, NY
| | | | | | | | | | | | | | - Sheroi Johnson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA
| | - Hannah L. Kirking
- Coronavirus and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, GA
| | | | | | | | | | - Ellen Sano
- New York-Presbyterian Hospital, New York, NY
- Department of Emergency Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY
| | - Son H. McLaren
- New York-Presbyterian Hospital, New York, NY
- Department of Emergency Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY
| | - Celibell Y. Vargas
- Division of Child and Adolescent Health, Department of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons
| | - Sara Goodman
- Stanford University School of Medicine, Stanford, CA
| | | | | | | | | | - Karla Ledezma
- University of Arizona College of Medicine, Tucson, AZ
| | | | - Karen Lutrick
- University of Arizona College of Medicine, Tucson, AZ
| | | | - Amy Yang
- University of North Carolina, Chapel Hill, NC
| | | | | | - Yuwei Zhu
- Vanderbilt University Medical Center, Nashville, TN
| | | | | | | | - Phillip P. Salvatore
- Coronavirus and Other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, GA
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Horn A, Adgent MA, Osmundson SS, Wiese AD, Phillips SE, Patrick SW, Griffin MR, Grijalva CG. Risk of Death at 1 Year Following Postpartum Opioid Exposure. Am J Perinatol 2024; 41:949-960. [PMID: 35640619 PMCID: PMC9708936 DOI: 10.1055/s-0042-1745848] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
OBJECTIVE Opioids are commonly prescribed to women for acute pain following childbirth. Postpartum prescription opioid exposure is associated with adverse opioid-related morbidities but the association with all-cause mortality is not well studied. This study aimed to examine the association between postpartum opioid prescription fills and the 1-year risk of all-cause mortality among women with live births. METHODS In a retrospective cohort study of live births among women enrolled in Tennessee Medicaid (TennCare) between 2007 and 2015, we compared women who filled two or more postpartum outpatient opioid prescriptions (up to 41 days of postdelivery discharge) to women who filled one or fewer opioid prescription. Women were followed from day 42 postdelivery discharge through 365 days of follow-up or date of death. Deaths were identified using linked death certificates (2007-2016). We used Cox's proportional hazard regression and inverse probability of treatment weights to compare time to death between exposure groups while adjusting for relevant confounders. We also examined effect modification by delivery route, race, opioid use disorder, use of benzodiazepines, and mental health condition diagnosis. RESULTS Among 264,135 eligible births, 216,762 (82.1%) had one or fewer maternal postpartum opioid fills and 47,373 (17.9%) had two or more fills. There were 182 deaths during follow-up. The mortality rate was higher in women with two or more fills (120.5 per 100,000 person-years) than in those with one or fewer (57.7 per 100,000 person-years). The risk of maternal death remained higher in participants exposed to two or more opioid fills after accounting for relevant covariates using inverse probability of treatment weighting (adjusted hazard ratio: 1.46 [95% confidence interval: 1.01, 2.09]). Findings from stratified analyses were consistent with main findings. CONCLUSION Filling two or more opioid prescriptions during the postpartum period was associated with a significant increase in 1-year risk of death among new mothers. KEY POINTS · Opioid prescribing in the postpartum period is common.. · Prior studies show that >1 postnatal opioid fill is associated with adverse opioid-related events.. · > 1 opioid fill within 42 days of delivery was associated with an increase in 1-year risk of death..
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Affiliation(s)
- Arlyn Horn
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN
| | - Margaret A. Adgent
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN
| | - Sarah S. Osmundson
- Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, TN
| | - Andrew D. Wiese
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN
| | - Sharon E. Phillips
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN
| | - Stephen W. Patrick
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Center for Child Health Policy, Vanderbilt University Medical Center, Nashville, TN
| | - Marie R. Griffin
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
- Veterans’ Health Administration Tennessee Valley Healthcare System, Geriatric Research Education and Clinical Center (GRECC), Nashville, TN
| | - Carlos G. Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN
- Veterans’ Health Administration Tennessee Valley Healthcare System, Geriatric Research Education and Clinical Center (GRECC), Nashville, TN
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Smith-Jeffcoat SE, Mellis AM, Grijalva CG, Talbot HK, Schmitz J, Lutrick K, Ellingson KD, Stockwell MS, McLaren SH, Nguyen HQ, Rao S, Asturias EJ, Davis-Gardner ME, Suthar MS, Kirking HL. SARS-CoV-2 Viral Shedding and Rapid Antigen Test Performance - Respiratory Virus Transmission Network, November 2022-May 2023. MMWR Morb Mortal Wkly Rep 2024; 73:365-371. [PMID: 38668391 PMCID: PMC11065460 DOI: 10.15585/mmwr.mm7316a2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2024]
Abstract
As population immunity to SARS-CoV-2 evolves and new variants emerge, the role and accuracy of antigen tests remain active questions. To describe recent test performance, the detection of SARS-CoV-2 by antigen testing was compared with that by reverse transcription-polymerase chain reaction (RT-PCR) and viral culture testing during November 2022-May 2023. Participants who were enrolled in a household transmission study completed daily symptom diaries and collected two nasal swabs (tested for SARS-CoV-2 via RT-PCR, culture, and antigen tests) each day for 10 days after enrollment. Among participants with SARS-CoV-2 infection, the percentages of positive antigen, RT-PCR, and culture results were calculated each day from the onset of symptoms or, in asymptomatic persons, from the date of the first positive test result. Antigen test sensitivity was calculated using RT-PCR and viral culture as references. The peak percentage of positive antigen (59.0%) and RT-PCR (83.0%) results occurred 3 days after onset, and the peak percentage of positive culture results (52%) occurred 2 days after onset. The sensitivity of antigen tests was 47% (95% CI = 44%-50%) and 80% (95% CI = 76%-85%) using RT-PCR and culture, respectively, as references. Clinicians should be aware of the lower sensitivity of antigen testing compared with RT-PCR, which might lead to false-negative results. This finding has implications for timely initiation of SARS-CoV-2 antiviral treatment, when early diagnosis is essential; clinicians should consider RT-PCR for persons for whom antiviral treatment is recommended. Persons in the community who are at high risk for severe COVID-19 illness and eligible for antiviral treatment should seek testing from health care providers with the goal of obtaining a more sensitive diagnostic test than antigen tests (i.e., an RT-PCR test).
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - RVTN-Sentinel Study Group
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, CDC; Influenza Division, National Center for Immunization and Respiratory Diseases, CDC; Vanderbilt University Medical Center, Nashville, Tennessee; University of Arizona Colleges of Medicine and Public Health, Tucson, Arizona; Division of Child and Adolescent Health, Department of Pediatrics, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York; Department of Population and Family Health, Mailman School of Public Health, New York, New York; New York-Presbyterian Hospital, New York, New York; Department of Emergency Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York; Marshfield Clinic Research Institute, Marshfield, Wisconsin; Children’s Hospital Colorado, Aurora, Colorado; Department of Pediatrics-Infectious Diseases, Emory Vaccine Center, Emory Primate Research Center, Emory University School of Medicine, Atlanta, Georgia
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5
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Lewis NM, Zhu Y, Peltan ID, Gaglani M, McNeal T, Ghamande S, Steingrub JS, Shapiro NI, Duggal A, Bender WS, Taghizadeh L, Brown SM, Hager DN, Gong MN, Mohamed A, Exline MC, Khan A, Wilson JG, Qadir N, Chang SY, Ginde AA, Mohr NM, Mallow C, Lauring AS, Johnson NJ, Gibbs KW, Kwon JH, Columbus C, Gottlieb RL, Raver C, Vaughn IA, Ramesh M, Johnson C, Lamerato L, Safdar B, Casey JD, Rice TW, Halasa N, Chappell JD, Grijalva CG, Talbot HK, Baughman A, Womack KN, Swan SA, Harker E, Price A, DeCuir J, Surie D, Ellington S, Self WH. Vaccine Effectiveness Against Influenza A-Associated Hospitalization, Organ Failure, and Death: United States, 2022-2023. Clin Infect Dis 2024; 78:1056-1064. [PMID: 38051664 DOI: 10.1093/cid/ciad677] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 11/07/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Influenza circulation during the 2022-2023 season in the United States largely returned to pre-coronavirus disease 2019 (COVID-19)-pandemic patterns and levels. Influenza A(H3N2) viruses were detected most frequently this season, predominately clade 3C.2a1b.2a, a close antigenic match to the vaccine strain. METHODS To understand effectiveness of the 2022-2023 influenza vaccine against influenza-associated hospitalization, organ failure, and death, a multicenter sentinel surveillance network in the United States prospectively enrolled adults hospitalized with acute respiratory illness between 1 October 2022, and 28 February 2023. Using the test-negative design, vaccine effectiveness (VE) estimates against influenza-associated hospitalization, organ failures, and death were measured by comparing the odds of current-season influenza vaccination in influenza-positive case-patients and influenza-negative, SARS-CoV-2-negative control-patients. RESULTS A total of 3707 patients, including 714 influenza cases (33% vaccinated) and 2993 influenza- and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-negative controls (49% vaccinated) were analyzed. VE against influenza-associated hospitalization was 37% (95% confidence interval [CI]: 27%-46%) and varied by age (18-64 years: 47% [30%-60%]; ≥65 years: 28% [10%-43%]), and virus (A[H3N2]: 29% [6%-46%], A[H1N1]: 47% [23%-64%]). VE against more severe influenza-associated outcomes included: 41% (29%-50%) against influenza with hypoxemia treated with supplemental oxygen; 65% (56%-72%) against influenza with respiratory, cardiovascular, or renal failure treated with organ support; and 66% (40%-81%) against influenza with respiratory failure treated with invasive mechanical ventilation. CONCLUSIONS During an early 2022-2023 influenza season with a well-matched influenza vaccine, vaccination was associated with reduced risk of influenza-associated hospitalization and organ failure.
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Affiliation(s)
- Nathaniel M Lewis
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ithan D Peltan
- Department of Medicine, Intermountain Medical Center, Murray, Utah, and University of Utah, Salt Lake City, Utah, USA
| | - Manjusha Gaglani
- Baylor Scott and White Health, Temple and Dallas, Texas, and Texas A&M University College of Medicine, Temple, Texas, USA
| | - Tresa McNeal
- Baylor Scott and White Health, and Baylor College of Medicine, Temple, Texas, USA
| | - Shekhar Ghamande
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Jay S Steingrub
- Department of Medicine, Baystate Medical Center, Springfield, Massachusetts, USA
| | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Abhijit Duggal
- Department of Medicine, Cleveland Clinic, Cleveland, Ohio, USA
| | | | - Leyla Taghizadeh
- Department of Emergency Medicine, Hennepin County Medical Center, Minneapolis, Minnesota, USA
| | - Samuel M Brown
- Department of Medicine, Intermountain Medical Center, Murray, Utah, and University of Utah, Salt Lake City, Utah, USA
| | - David N Hager
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michelle N Gong
- Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Amira Mohamed
- Department of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Matthew C Exline
- Department of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Akram Khan
- Department of Medicine, Oregon Health and Sciences University, Portland, Oregon, USA
| | - Jennifer G Wilson
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Nida Qadir
- Department of Medicine, University of California-Los Angeles, Los Angeles, California, USA
| | - Steven Y Chang
- Department of Medicine, University of California-Los Angeles, Los Angeles, California, USA
| | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Nicholas M Mohr
- Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
| | | | - Adam S Lauring
- Departments of Internal Medicine and Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA
| | - Nicholas J Johnson
- Department of Emergency Medicine and Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, Washington, USA
| | - Kevin W Gibbs
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Jennie H Kwon
- Department of Medicine, Washington University, St.Louis, Missouri, USA
| | | | - Robert L Gottlieb
- Baylor University Medical Center Dallas, Baylor, Scott & White Heart and Vascular Hospital, Baylor, Scott and White Research Institute, Dallas, Texas, USA
| | | | - Ivana A Vaughn
- Department of Public Health Sciences, Henry Ford Health, Detroit, Michigan, USA
| | - Mayur Ramesh
- Division of Infectious Diseases, Henry Ford Health, Detroit, Michigan, USA
| | - Cassandra Johnson
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Lois Lamerato
- Department of Public Health Sciences, Henry Ford Health, Detroit, Michigan, USA
| | - Basmah Safdar
- Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Jonathan D Casey
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Todd W Rice
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - H Keipp Talbot
- Departments of Medicine and Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adrienne Baughman
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kelsey N Womack
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sydney A Swan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Elizabeth Harker
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Ashley Price
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Jennifer DeCuir
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Diya Surie
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Sascha Ellington
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Wesley H Self
- Department of Emergency Medicine, Vanderbilt Institute for Clinical and Translational Research, and Vanderbilt University Medical Center, Nashville, Tennessee, USA
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6
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Surie D, Yuengling KA, DeCuir J, Zhu Y, Lauring AS, Gaglani M, Ghamande S, Peltan ID, Brown SM, Ginde AA, Martinez A, Mohr NM, Gibbs KW, Hager DN, Ali H, Prekker ME, Gong MN, Mohamed A, Johnson NJ, Srinivasan V, Steingrub JS, Leis AM, Khan A, Hough CL, Bender WS, Duggal A, Bendall EE, Wilson JG, Qadir N, Chang SY, Mallow C, Kwon JH, Exline MC, Shapiro NI, Columbus C, Vaughn IA, Ramesh M, Mosier JM, Safdar B, Casey JD, Talbot HK, Rice TW, Halasa N, Chappell JD, Grijalva CG, Baughman A, Womack KN, Swan SA, Johnson CA, Lwin CT, Lewis NM, Ellington S, McMorrow ML, Martin ET, Self WH. Severity of Respiratory Syncytial Virus vs COVID-19 and Influenza Among Hospitalized US Adults. JAMA Netw Open 2024; 7:e244954. [PMID: 38573635 DOI: 10.1001/jamanetworkopen.2024.4954] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 04/05/2024] Open
Abstract
Importance On June 21, 2023, the Centers for Disease Control and Prevention recommended the first respiratory syncytial virus (RSV) vaccines for adults aged 60 years and older using shared clinical decision-making. Understanding the severity of RSV disease in adults can help guide this clinical decision-making. Objective To describe disease severity among adults hospitalized with RSV and compare it with the severity of COVID-19 and influenza disease by vaccination status. Design, Setting, and Participants In this cohort study, adults aged 18 years and older admitted to the hospital with acute respiratory illness and laboratory-confirmed RSV, SARS-CoV-2, or influenza infection were prospectively enrolled from 25 hospitals in 20 US states from February 1, 2022, to May 31, 2023. Clinical data during each patient's hospitalization were collected using standardized forms. Data were analyzed from August to October 2023. Exposures RSV, SARS-CoV-2, or influenza infection. Main Outcomes and Measures Using multivariable logistic regression, severity of RSV disease was compared with COVID-19 and influenza severity, by COVID-19 and influenza vaccination status, for a range of clinical outcomes, including the composite of invasive mechanical ventilation (IMV) and in-hospital death. Results Of 7998 adults (median [IQR] age, 67 [54-78] years; 4047 [50.6%] female) included, 484 (6.1%) were hospitalized with RSV, 6422 (80.3%) were hospitalized with COVID-19, and 1092 (13.7%) were hospitalized with influenza. Among patients with RSV, 58 (12.0%) experienced IMV or death, compared with 201 of 1422 unvaccinated patients with COVID-19 (14.1%) and 458 of 5000 vaccinated patients with COVID-19 (9.2%), as well as 72 of 699 unvaccinated patients with influenza (10.3%) and 20 of 393 vaccinated patients with influenza (5.1%). In adjusted analyses, the odds of IMV or in-hospital death were not significantly different among patients hospitalized with RSV and unvaccinated patients hospitalized with COVID-19 (adjusted odds ratio [aOR], 0.82; 95% CI, 0.59-1.13; P = .22) or influenza (aOR, 1.20; 95% CI, 0.82-1.76; P = .35); however, the odds of IMV or death were significantly higher among patients hospitalized with RSV compared with vaccinated patients hospitalized with COVID-19 (aOR, 1.38; 95% CI, 1.02-1.86; P = .03) or influenza disease (aOR, 2.81; 95% CI, 1.62-4.86; P < .001). Conclusions and Relevance Among adults hospitalized in this US cohort during the 16 months before the first RSV vaccine recommendations, RSV disease was less common but similar in severity compared with COVID-19 or influenza disease among unvaccinated patients and more severe than COVID-19 or influenza disease among vaccinated patients for the most serious outcomes of IMV or death.
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Affiliation(s)
- Diya Surie
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Katharine A Yuengling
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jennifer DeCuir
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Adam S Lauring
- Department of Internal Medicine, University of Michigan, Ann Arbor
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor
| | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, Texas
- Texas A&M University College of Medicine, Temple
- Baylor College of Medicine, Temple, Texas
| | - Shekhar Ghamande
- Baylor Scott & White Health, Temple, Texas
- Texas A&M University College of Medicine, Temple
- Baylor College of Medicine, Temple, Texas
| | - Ithan D Peltan
- Department of Medicine, Intermountain Medical Center, Murray, Utah and University of Utah, Salt Lake City
| | - Samuel M Brown
- Department of Medicine, Intermountain Medical Center, Murray, Utah and University of Utah, Salt Lake City
| | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora
| | - Amanda Martinez
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora
| | | | - Kevin W Gibbs
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - David N Hager
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Harith Ali
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Matthew E Prekker
- Department of Emergency Medicine, Hennepin County Medical Center, Minneapolis, Minnesota
| | - Michelle N Gong
- Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Amira Mohamed
- Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Nicholas J Johnson
- Department of Emergency Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle
| | | | - Jay S Steingrub
- Department of Medicine, Baystate Medical Center, Springfield, Massachusetts
| | - Aleda M Leis
- School of Public Health, University of Michigan, Ann Arbor
| | - Akram Khan
- Department of Medicine, Oregon Health and Sciences University, Portland
| | - Catherine L Hough
- Department of Medicine, Oregon Health and Sciences University, Portland
| | | | - Abhijit Duggal
- Department of Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Emily E Bendall
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor
| | - Jennifer G Wilson
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California
| | - Nida Qadir
- Department of Medicine, University of California, Los Angeles
| | - Steven Y Chang
- Department of Medicine, University of California, Los Angeles
| | | | - Jennie H Kwon
- Department of Medicine, Washington University in St Louis, St Louis, Missouri
| | | | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Cristie Columbus
- Baylor Scott &White Health, Dallas, Texas
- Texas A&M University College of Medicine, Dallas
| | - Ivana A Vaughn
- Department of Public Health Sciences, Henry Ford Health, Detroit, Michigan
| | - Mayur Ramesh
- Division of Infectious Diseases, Henry Ford Health, Detroit, Michigan
| | - Jarrod M Mosier
- Department of Emergency Medicine, University of Arizona, Tucson
| | - Basmah Safdar
- Yale University School of Medicine, New Haven, Connecticut
| | - Jonathan D Casey
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - H Keipp Talbot
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Todd W Rice
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Adrienne Baughman
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Kelsey N Womack
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Sydney A Swan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Cassandra A Johnson
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Cara T Lwin
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Nathaniel M Lewis
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Sascha Ellington
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Meredith L McMorrow
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Emily T Martin
- School of Public Health, University of Michigan, Ann Arbor
| | - Wesley H Self
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee
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7
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Antoon JW, Stopczynski T, Amarin JZ, Stewart LS, Boom JA, Sahni LC, Michaels MG, Williams JV, Englund JA, Klein EJ, Staat MA, Schlaudecker EP, Selvarangan R, Schuster JE, Weinberg GA, Szilagyi PG, Perez A, Moline HL, Spieker AJ, Grijalva CG, Olson SM, Halasa NB. Accuracy of Influenza ICD-10 Diagnosis Codes in Identifying Influenza Illness in Children. JAMA Netw Open 2024; 7:e248255. [PMID: 38656577 PMCID: PMC11043895 DOI: 10.1001/jamanetworkopen.2024.8255] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 04/26/2024] Open
Abstract
Importance Studies of influenza in children commonly rely on coded diagnoses, yet the ability of International Classification of Diseases, Ninth Revision codes to identify influenza in the emergency department (ED) and hospital is highly variable. The accuracy of newer International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) codes to identify influenza in children is unknown. Objective To determine the accuracy of ICD-10 influenza discharge diagnosis codes in the pediatric ED and inpatient settings. Design, Setting, and Participants Children younger than 18 years presenting to the ED or inpatient settings with fever and/or respiratory symptoms at 7 US pediatric medical centers affiliated with the Centers for Disease Control and Prevention-sponsored New Vaccine Surveillance Network from December 1, 2016, to March 31, 2020, were included in this cohort study. Nasal and/or throat swabs were collected for research molecular testing for influenza, regardless of clinical testing. Data, including ICD-10 discharge diagnoses and clinical testing for influenza, were obtained through medical record review. Data analysis was performed in August 2023. Main Outcomes and Measures The accuracy of ICD-10-coded discharge diagnoses was characterized using molecular clinical or research laboratory test results as reference. Measures included sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Estimates were stratified by setting (ED vs inpatient) and age (0-1, 2-4, and 5-17 years). Results A total of 16 867 children in the ED (median [IQR] age, 2.0 [0.0-4.0] years; 9304 boys [55.2%]) and 17 060 inpatients (median [IQR] age, 1.0 [0.0-4.0] years; 9798 boys [57.4%]) were included. In the ED, ICD-10 influenza diagnoses were highly specific (98.0%; 95% CI, 97.8%-98.3%), with high PPV (88.6%; 95% CI, 88.0%-89.2%) and high NPV (85.9%; 95% CI, 85.3%-86.6%), but sensitivity was lower (48.6%; 95% CI, 47.6%-49.5%). Among inpatients, specificity was 98.2% (95% CI, 98.0%-98.5%), PPV was 82.8% (95% CI, 82.1%-83.5%), sensitivity was 70.7% (95% CI, 69.8%-71.5%), and NPV was 96.5% (95% CI, 96.2%-96.9%). Accuracy of ICD-10 diagnoses varied by patient age, influenza season definition, time between disease onset and testing, and clinical setting. Conclusions and Relevance In this large cohort study, influenza ICD-10 discharge diagnoses were highly specific but moderately sensitive in identifying laboratory-confirmed influenza; the accuracy of influenza diagnoses varied by clinical and epidemiological factors. In the ED and inpatient settings, an ICD-10 diagnosis likely represents a true-positive influenza case.
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Affiliation(s)
- James W Antoon
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Tess Stopczynski
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Justin Z Amarin
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Laura S Stewart
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Julie A Boom
- Department of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, Texas
| | - Leila C Sahni
- Department of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, Texas
| | - Marian G Michaels
- Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - John V Williams
- Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Janet A Englund
- Department of Pediatrics, Seattle Children's Hospital, Seattle, Washington, Washington
| | - Eileen J Klein
- Department of Pediatrics, Seattle Children's Hospital, Seattle, Washington, Washington
| | - Mary A Staat
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Elizabeth P Schlaudecker
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | | | - Jennifer E Schuster
- Department of Pediatrics, Children's Mercy-Kansas City, Kansas City, Missouri
| | - Geoffrey A Weinberg
- Department of Pediatrics, University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Peter G Szilagyi
- Department of Pediatrics, UCLA Mattel Children's Hospital, Los Angeles, California
| | - Ariana Perez
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Heidi L Moline
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Andrew J Spieker
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Samantha M Olson
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Natasha B Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
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8
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Sartori LF, Nian H, Zhu Y, Johnson J, Stassun J, Ampofo K, Arnold DH, Antoon JW, Pavia AT, Grijalva CG, Williams DJ. Removal of Race and White Blood Cell Count in an Updated Pediatric Pneumonia Severity Model. Hosp Pediatr 2024; 14:e167-e169. [PMID: 38332721 PMCID: PMC10896742 DOI: 10.1542/hpeds.2023-007571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2024]
Affiliation(s)
- Laura F. Sartori
- Departments of Pediatrics
- Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
| | - Hui Nian
- Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Yuwei Zhu
- Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee
| | | | | | - Krow Ampofo
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah
| | | | | | - Andrew T. Pavia
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah
| | - Carlos G. Grijalva
- Departments of Health Policy and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
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9
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Raglow Z, Surie D, Chappell JD, Zhu Y, Martin ET, Kwon JH, Frosch AE, Mohamed A, Gilbert J, Bendall EE, Bahr A, Halasa N, Talbot HK, Grijalva CG, Baughman A, Womack KN, Johnson C, Swan SA, Koumans E, McMorrow ML, Harcourt JL, Atherton LJ, Burroughs A, Thornburg NJ, Self WH, Lauring AS. SARS-CoV-2 shedding and evolution in patients who were immunocompromised during the omicron period: a multicentre, prospective analysis. Lancet Microbe 2024; 5:e235-e246. [PMID: 38286131 DOI: 10.1016/s2666-5247(23)00336-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 10/06/2023] [Accepted: 10/11/2023] [Indexed: 01/31/2024]
Abstract
BACKGROUND Prolonged SARS-CoV-2 infections in people who are immunocompromised might predict or source the emergence of highly mutated variants. The types of immunosuppression placing patients at highest risk for prolonged infection have not been systematically investigated. We aimed to assess risk factors for prolonged SARS-CoV-2 infection and associated intrahost evolution. METHODS In this multicentre, prospective analysis, participants were enrolled at five US medical centres. Eligible patients were aged 18 years or older, were SARS-CoV-2-positive in the previous 14 days, and had a moderately or severely immunocompromising condition or treatment. Nasal specimens were tested by real-time RT-PCR every 2-4 weeks until negative in consecutive specimens. Positive specimens underwent viral culture and whole genome sequencing. A Cox proportional hazards model was used to assess factors associated with duration of infection. FINDINGS From April 11, 2022, to Oct 1, 2022, 156 patients began the enrolment process, of whom 150 were enrolled and included in the analyses. Participants had B-cell malignancy or anti-B-cell therapy (n=18), solid organ transplantation or haematopoietic stem-cell transplantation (HSCT; n=59), AIDS (n=5), non-B-cell malignancy (n=23), and autoimmune or autoinflammatory conditions (n=45). 38 (25%) participants were real-time RT-PCR-positive and 12 (8%) were culture-positive 21 days or longer after initial SARS-CoV-2 detection or illness onset. Compared with the group with autoimmune or autoinflammatory conditions, patients with B-cell dysfunction (adjusted hazard ratio 0·32 [95% CI 0·15-0·64]), solid organ transplantation or HSCT (0·60 [0·38-0·94]), and AIDS (0·28 [0·08-1·00]) had longer duration of infection, defined as time to last positive real-time RT-PCR test. There was no significant difference in the non-B-cell malignancy group (0·58 [0·31-1·09]). Consensus de novo spike mutations were identified in five individuals who were real-time RT-PCR-positive longer than 56 days; 14 (61%) of 23 were in the receptor-binding domain. Mutations shared by multiple individuals were rare (<5%) in global circulation. INTERPRETATION In this cohort, prolonged replication-competent omicron SARS-CoV-2 infections were uncommon. Within-host evolutionary rates were similar across patients, but individuals with infections lasting longer than 56 days accumulated spike mutations, which were distinct from those seen globally. Populations at high risk should be targeted for repeated testing and treatment and monitored for the emergence of antiviral resistance. FUNDING US Centers for Disease Control and Prevention.
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Affiliation(s)
- Zoe Raglow
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Diya Surie
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Emily T Martin
- School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jennie H Kwon
- Department of Medicine, Washington University, St Louis, MO, USA
| | - Anne E Frosch
- Department of Medicine, Hennepin County Medical Center, Minneapolis, MN, USA
| | - Amira Mohamed
- Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Julie Gilbert
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Emily E Bendall
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Auden Bahr
- Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - H Keipp Talbot
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Adrienne Baughman
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kelsey N Womack
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Cassandra Johnson
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sydney A Swan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Emilia Koumans
- Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Meredith L McMorrow
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jennifer L Harcourt
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Lydia J Atherton
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ashley Burroughs
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Natalie J Thornburg
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Wesley H Self
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Adam S Lauring
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, USA.
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10
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Pham A, Shi R, Wiese AD, Spieker AJ, Phillips SE, Adgent MA, Grijalva CG, Osmundson SS. Changes in medication initiation and selection patterns for gestational diabetes management. BJOG 2024; 131:518-520. [PMID: 37680192 PMCID: PMC10872913 DOI: 10.1111/1471-0528.17664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 07/14/2023] [Accepted: 08/15/2023] [Indexed: 09/09/2023]
Affiliation(s)
- Amelie Pham
- Division of Maternal Fetal Medicine, Department of Obstetrics & Gynecology, Vanderbilt University Medical Center, Nashville, TN
| | - Rena Shi
- Division of Maternal Fetal Medicine, Department of Obstetrics & Gynecology, Vanderbilt University Medical Center, Nashville, TN
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN
| | - Andrew D. Wiese
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN
| | - Andrew J. Spieker
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN
| | - Sharon E. Phillips
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN
| | - Margaret A. Adgent
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN
| | - Carlos G. Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
| | - Sarah S. Osmundson
- Division of Maternal Fetal Medicine, Department of Obstetrics & Gynecology, Vanderbilt University Medical Center, Nashville, TN
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11
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DeCuir J, Payne AB, Self WH, Rowley EA, Dascomb K, DeSilva MB, Irving SA, Grannis SJ, Ong TC, Klein NP, Weber ZA, Reese SE, Ball SW, Barron MA, Naleway AL, Dixon BE, Essien I, Bride D, Natarajan K, Fireman B, Shah AB, Okwuazi E, Wiegand R, Zhu Y, Lauring AS, Martin ET, Gaglani M, Peltan ID, Brown SM, Ginde AA, Mohr NM, Gibbs KW, Hager DN, Prekker M, Mohamed A, Srinivasan V, Steingrub JS, Khan A, Busse LW, Duggal A, Wilson JG, Chang SY, Mallow C, Kwon JH, Exline MC, Columbus C, Vaughn IA, Safdar B, Mosier JM, Harris ES, Casey JD, Chappell JD, Grijalva CG, Swan SA, Johnson C, Lewis NM, Ellington S, Adams K, Tenforde MW, Paden CR, Dawood FS, Fleming-Dutra KE, Surie D, Link-Gelles R. Interim Effectiveness of Updated 2023-2024 (Monovalent XBB.1.5) COVID-19 Vaccines Against COVID-19-Associated Emergency Department and Urgent Care Encounters and Hospitalization Among Immunocompetent Adults Aged ≥18 Years - VISION and IVY Networks, September 2023-January 2024. MMWR Morb Mortal Wkly Rep 2024; 73:180-188. [PMID: 38421945 PMCID: PMC10907041 DOI: 10.15585/mmwr.mm7308a5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
In September 2023, CDC's Advisory Committee on Immunization Practices recommended updated 2023-2024 (monovalent XBB.1.5) COVID-19 vaccination for all persons aged ≥6 months to prevent COVID-19, including severe disease. However, few estimates of updated vaccine effectiveness (VE) against medically attended illness are available. This analysis evaluated VE of an updated COVID-19 vaccine dose against COVID-19-associated emergency department (ED) or urgent care (UC) encounters and hospitalization among immunocompetent adults aged ≥18 years during September 2023-January 2024 using a test-negative, case-control design with data from two CDC VE networks. VE against COVID-19-associated ED/UC encounters was 51% (95% CI = 47%-54%) during the first 7-59 days after an updated dose and 39% (95% CI = 33%-45%) during the 60-119 days after an updated dose. VE estimates against COVID-19-associated hospitalization from two CDC VE networks were 52% (95% CI = 47%-57%) and 43% (95% CI = 27%-56%), with a median interval from updated dose of 42 and 47 days, respectively. Updated COVID-19 vaccine provided increased protection against COVID-19-associated ED/UC encounters and hospitalization among immunocompetent adults. These results support CDC recommendations for updated 2023-2024 COVID-19 vaccination. All persons aged ≥6 months should receive updated 2023-2024 COVID-19 vaccine.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - CDC COVID-19 Vaccine Effectiveness Collaborators
- Coronavirus and Other
Respiratory Viruses Division, National Center for Immunization and Respiratory
Diseases, CDC; Vanderbilt University Medical Center, Nashville,
Tennessee; Westat,
Rockville, Maryland; Division of Infectious Diseases and Clinical Epidemiology,
Intermountain Healthcare, Salt Lake City, Utah; HealthPartners Institute,
Minneapolis, Minnesota; Kaiser Permanente Center for Health Research,
Portland, Oregon; Indiana University School of Medicine, Indianapolis,
Indiana; Regenstrief
Institute Center for Biomedical Informatics, Indianapolis, Indiana; University of Colorado
School of Medicine, Aurora, Colorado; Kaiser Permanente Vaccine Study Center, Kaiser
Permanente Northern California Division of Research, Oakland, California;
Department of
Biomedical Informatics, Columbia University Irving Medical Center, New York, New
York; New
York-Presbyterian Hospital, New York, New York; General Dynamics Information
Technology, Falls Church, Virginia; University of Michigan, Ann Arbor, Michigan;
Baylor Scott
& White Health, Texas; Baylor College of Medicine, Temple, Texas; Intermountain Medical
Center, Murray, Utah; University of Utah, Salt Lake City, Utah; University of Iowa, Iowa
City, Iowa; Wake
Forest School of Medicine, Winston-Salem, North Carolina; Johns Hopkins University School of
Medicine, Baltimore, Maryland; Hennepin County Medical Center, Minneapolis,
Minnesota; Montefiore
Medical Center, Albert Einstein College of Medicine, New York, New York; University of Washington,
Seattle, Washington; Baystate Medical Center, Springfield, Massachusetts;
Oregon Health
& Science University, Portland, Oregon; Emory University, Atlanta, Georgia; Cleveland Clinic,
Cleveland, Ohio; Stanford University School of Medicine, Stanford,
California; Ronald
Reagan UCLA Medical Center, Los Angeles, California; University of Miami, Miami, Florida;
Washington
University in St. Louis, St. Louis, Missouri; The Ohio State University, Columbus,
Ohio; Texas A&M
University College of Medicine, Dallas, Texas; Henry Ford Health, Detroit,
Michigan; Yale
University School of Medicine, New Haven, Connecticut; University of Arizona, Tucson,
Arizona; Influenza
Division, National Center for Immunization and Respiratory Diseases, CDC
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12
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Sumner KM, Yadav R, Noble EK, Sandford R, Joshi D, Tartof SY, Wernli KJ, Martin ET, Gaglani M, Zimmerman RK, Talbot HK, Grijalva CG, Belongia EA, Chung JR, Rogier E, Coughlin MM, Flannery B. Anti-SARS-CoV-2 Antibody Levels Associated with COVID-19 Protection in Outpatients Tested for SARS-CoV-2, US Flu VE Network, October 2021-June 2022. J Infect Dis 2024:jiae090. [PMID: 38390968 DOI: 10.1093/infdis/jiae090] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 02/14/2024] [Accepted: 02/20/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND We assessed associations between binding antibody (bAb) concentration <5 days of symptom onset and testing positive for COVID-19 among patients in a test-negative study. METHODS From October 2021─June 2022, study sites in seven states enrolled patients aged ≥6 months presenting with acute respiratory illness. Respiratory specimens were tested for SARS-CoV-2. In blood specimens, we measured concentrations of anti-SARS-CoV-2 antibodies against the ancestral strain spike protein receptor binding domain (RBD) and nucleocapsid (N) antigens in standardized binding antibody units (BAU/mL). Percent change in odds of COVID-19 by increasing anti-RBD bAb was estimated using logistic regression as (1-adjusted odds ratio of COVID-19)x100, adjusting for COVID-19 mRNA vaccine doses, age, site, and high-risk exposure. RESULTS Out of 2,018 symptomatic patients, 662 (33%) tested positive for acute SARS-CoV-2 infection. Geometric mean RBD bAb were lower among COVID-19 cases than SARS-CoV-2 test-negative patients during both the Delta-predominant (112 vs. 498 BAU/mL) and Omicron-predominant (823 vs. 1,189 BAU/mL) periods. Acute phase ancestral spike RBD bAb associated with 50% lower odds of COVID-19 were 1,968 BAU/mL against Delta and 3,375 BAU/mL against Omicron; thresholds may differ in other laboratories. CONCLUSION During acute illness, antibody concentrations against ancestral spike RBD were associated with protection against COVID-19.
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Affiliation(s)
- Kelsey M Sumner
- Centers for Disease Control and Prevention, Atlanta, GA, USA
- Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ruchi Yadav
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Emma K Noble
- Centers for Disease Control and Prevention, Atlanta, GA, USA
- Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee, USA
| | - Ryan Sandford
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Devyani Joshi
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sara Y Tartof
- Kaiser Permanente Southern California, Department of Research & Evaluation, Pasadena, CA, USA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA
| | - Karen J Wernli
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Emily T Martin
- University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, TX, USA
- Baylor College of Medicine - Temple, Temple, TX, USA
- Texas A&M University College of Medicine, Temple, TX, USA
| | | | - H Keipp Talbot
- Vanderbilt University Medical Center, Nashville, TN, USA
| | | | | | - Jessie R Chung
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Eric Rogier
- Centers for Disease Control and Prevention, Atlanta, GA, USA
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13
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Bosworth OM, Padilla-Azain MC, Adgent MA, Spieker AJ, Wiese AD, Pham A, Leech AA, Grijalva CG, Osmundson SS. Prescription Opioid Exposure During Pregnancy and Risk of Spontaneous Preterm Delivery. JAMA Netw Open 2024; 7:e2355990. [PMID: 38353951 PMCID: PMC10867678 DOI: 10.1001/jamanetworkopen.2023.55990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 12/20/2023] [Indexed: 02/16/2024] Open
Abstract
Importance Opioid exposure during pregnancy has been associated with preterm birth, but prior studies have not differentiated between spontaneous and indicated preterm birth or fully investigated these associations as functions of opioid dose. Objective To determine whether prescription opioid use during pregnancy is associated with spontaneous preterm birth and whether the association is dose-dependent. Design, Setting, and Participants This case-control study examined a retrospective cohort of pregnant patients enrolled in Tennessee Medicaid. Enrollment files were linked to health care encounters, hospital discharge information, birth certificate data, and prescription fills. Eligible participants were pregnant people ages 15 to 44 years without opioid use disorder who experienced birth of a single fetus at 24 weeks gestation or greater between 2007 and 2019 with linked birth certificate data. Cases of spontaneous preterm birth were matched with up to 10 controls based on pregnancy start date, race, ethnicity, age at delivery within 2 years, and history of prior preterm birth. Cases and matched controls were continuously enrolled in TennCare for at least 90 days prior to the index date (case delivery date). Exposure Total opioid MME filled during the 60 days prior to the index date. Main Outcomes and Measures The primary outcome was spontaneous preterm birth determined by a validated algorithm using birth certificate data. Conditional logistic regression was used to estimate the association between spontaneous preterm birth and total opioid morphine milligram equivalents (MME) dispensed, adjusting for parity, prepregnancy body mass index, education level, tobacco use, hepatitis infections, and pain indications. Results A total of 25 391 cases (median [IQR] age, 23 [20-28] years; 127 Asian [0.5%], 9820 Black [38.7%], 664 Hispanic [2.6%]; 14 748 non-Hispanic White [58.1%]) with spontaneous preterm birth were identified and matched with 225 696 controls (median [IQR] age, 23 [20-27] years; 229 Asian [0.1%], 89 819 Black [39.8%], 3590 Hispanic [1.6%]; 132 002 non-Hispanic White [58.5%]) (251 087 patients total), with 18 702 patients (7.4%) filling an opioid prescription in the 60 days prior to the index date. Each doubling of nonzero opioid MME was associated with a 4% increase in the odds of spontaneous preterm birth compared with no opioid exposure (adjusted odds ratio, 1.04; 95% CI, 1.01-1.08). Conclusions and Relevance In this case-control study, a positive association was found between total prescription opioid dose dispensed and the odds of spontaneous preterm birth. These findings support guidance to minimize opioid exposure during pregnancy and prescribe the lowest dose necessary.
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Affiliation(s)
| | | | - Margaret A. Adgent
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Andrew J. Spieker
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Andrew David Wiese
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Amelie Pham
- Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ashley A. Leech
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Carlos G. Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Sarah S. Osmundson
- Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, Tennessee
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Antoon JW, Grijalva CG, Talbot K. Oseltamivir May or May Not Reduce Hospitalizations. JAMA Intern Med 2024; 184:116-117. [PMID: 37983034 PMCID: PMC10843694 DOI: 10.1001/jamainternmed.2023.4720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2023]
Affiliation(s)
- James W Antoon
- Division of Hospital Medicine, Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Carlos G Grijalva
- Division of Pharmacoepidemiology, Departments of Health Policy and Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Keipp Talbot
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee
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15
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Ahmed F, Nowalk MP, Zimmerman RK, Bear T, Grijalva CG, Talbot HK, Florea A, Tartof SY, Gaglani M, Smith M, McLean HQ, King JP, Martin ET, Monto AS, Phillips CH, Wernli KJ, Flannery B, Chung JR, Uzicanin A. Work Attendance with Acute Respiratory Illness Before and During COVID-19 Pandemic, United States, 2018-2022. Emerg Infect Dis 2023; 29:2442-2450. [PMID: 37917142 PMCID: PMC10683820 DOI: 10.3201/eid2912.231070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2023] Open
Abstract
Both SARS-CoV-2 and influenza virus can be transmitted by asymptomatic, presymptomatic, or symptomatic infected persons. We assessed effects on work attendance while ill before and during the COVID-19 pandemic in the United States by analyzing data collected prospectively from persons with acute respiratory illnesses enrolled in a multistate study during 2018-2022. Persons with previous hybrid work experience were significantly less likely to work onsite on the day before through the first 3 days of illness than those without that experience, an effect more pronounced during the COVID-19 pandemic than during prepandemic influenza seasons. Persons with influenza or COVID-19 were significantly less likely to work onsite than persons with other acute respiratory illnesses. Among persons with positive COVID-19 test results available by the second or third day of illness, few worked onsite. Hybrid and remote work policies might reduce workplace exposures and help reduce spread of respiratory viruses.
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16
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Massion SP, Howa AC, Zhu Y, Kim A, Halasa N, Chappell J, McGonigle T, Mellis AM, Deyoe JE, Reed C, Rolfes MA, Talbot HK, Grijalva CG. Sex differences in COVID-19 symptom severity and trajectories among ambulatory adults. Influenza Other Respir Viruses 2023; 17:e13235. [PMID: 38125808 PMCID: PMC10730332 DOI: 10.1111/irv.13235] [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] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 11/18/2023] [Accepted: 11/20/2023] [Indexed: 12/23/2023] Open
Abstract
Background The ongoing COVID-19 pandemic has led to hundreds of millions of infections worldwide. Although differences in COVID-19 hospitalization rates between males and females have been described, many infections in the general population have been mild, and the severity of symptoms during the course of COVID-19 in non-hospitalized males and females is not well understood. Methods We conducted a case-ascertained study to examine household transmission of SARS-CoV-2 infections in Nashville, Tennessee, between April 2020 and April 2021. Among enrolled ambulatory adult participants with laboratory-confirmed SARS-CoV-2 infections, we assessed the presence and severity of symptoms (total, systemic, and respiratory) daily using a symptoms severity questionnaire, from illness onset and throughout the 2-week follow-up period. We compared the mean daily symptom severity scores (0-3: none, mild, moderate, and severe) and change in symptoms between males and females using a multivariable linear mixed effects regression model. Results The analysis included 223 enrolled adults with SARS-CoV-2 infection (58% females, mostly white, non-Hispanic) from 146 households with 2917 total daily symptom reports. The overall mean severity of total symptoms reported over the illness period was 1.04 and 0.90 for females and males, respectively. Mean systemic and respiratory scores were higher for females than for males (p < 0.001). In multivariable analyses, females reported more severe total and systemic symptoms during the illness period compared with males. However, no significant differences in reported respiratory symptoms were observed. Conclusions Our findings indicate that among ambulatory adults with SARS-CoV-2 infections, females reported slightly higher symptom severity during their illness compared with males.
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Affiliation(s)
- Samuel P. Massion
- Department of Health PolicyVanderbilt University Medical CenterNashvilleTennesseeUSA
- School of MedicineVanderbilt UniversityNashvilleTennesseeUSA
| | - Amanda C. Howa
- Department of Health PolicyVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Yuwei Zhu
- Department of BiostatisticsVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Ahra Kim
- Department of BiostatisticsVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Natasha Halasa
- Department of PediatricsVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - James Chappell
- Department of PediatricsVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Trey McGonigle
- Department of BiostatisticsVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Alexandra M. Mellis
- Influenza DivisionCenters for Disease Control and PreventionAtlantaGeorgiaUSA
| | - Jessica E. Deyoe
- Influenza DivisionCenters for Disease Control and PreventionAtlantaGeorgiaUSA
| | - Carrie Reed
- Influenza DivisionCenters for Disease Control and PreventionAtlantaGeorgiaUSA
| | - Melissa A. Rolfes
- Influenza DivisionCenters for Disease Control and PreventionAtlantaGeorgiaUSA
| | - H. Keipp Talbot
- Department of Health PolicyVanderbilt University Medical CenterNashvilleTennesseeUSA
- Department of MedicineVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Carlos G. Grijalva
- Department of Health PolicyVanderbilt University Medical CenterNashvilleTennesseeUSA
- School of MedicineVanderbilt UniversityNashvilleTennesseeUSA
- Department of Biomedical InformaticsVanderbilt University Medical CenterNashvilleTennesseeUSA
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17
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Antoon JW, Sarker J, Abdelaziz A, Lien PW, Williams DJ, Lee TA, Grijalva CG. Trends in Outpatient Influenza Antiviral Use Among Children and Adolescents in the United States. Pediatrics 2023; 152:e2023061960. [PMID: 37953658 PMCID: PMC10681853 DOI: 10.1542/peds.2023-061960] [Citation(s) in RCA: 0] [Impact Index Per Article: 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] [Accepted: 08/23/2023] [Indexed: 11/14/2023] Open
Abstract
BACKGROUND Influenza antivirals improve outcomes in children with duration of symptoms <2 days and those at high risk for influenza complications. Real-world prescribing of influenza antivirals in the pediatric population is unknown. METHODS We performed a cross-sectional study of outpatient and emergency department prescription claims in individuals <18 years of age included in the IBM Marketscan Commercial Claims and Encounters Database between July 1, 2010 and June 30, 2019. Influenza antiviral use was defined as any dispensing of oseltamivir, baloxavir, or zanamivir. The primary outcome was the rate of antiviral dispensing per 1000 enrolled children. Secondary outcomes included antiviral dispensing per 1000 influenza diagnoses and inflation-adjusted costs of antiviral agents. Outcomes were calculated and stratified by age, acute versus prophylactic treatment, influenza season, and geographic region. RESULTS The analysis included 1 416 764 unique antiviral dispensings between 2010 and 2019. Oseltamivir was the most frequently prescribed antiviral (99.8%). Dispensing rates ranged from 4.4 to 48.6 per 1000 enrolled children. Treatment rates were highest among older children (12-17 years of age), during the 2017 to 2018 influenza season, and in the East South Central region. Guideline-concordant antiviral use among young children (<2 years of age) at a high risk of influenza complications was low (<40%). The inflation-adjusted cost for prescriptions was $208 458 979, and the median cost ranged from $111 to $151. CONCLUSIONS There is wide variability and underuse associated with influenza antiviral use in children. These findings reveal opportunities for improvement in the prevention and treatment of influenza in children.
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Affiliation(s)
| | - Jyotirmoy Sarker
- Department of Pharmacy Systems, Outcomes and Policy, College of Pharmacy, University of Illinois Chicago, Chicago, Illinois
| | - Abdullah Abdelaziz
- Department of Pharmacy Systems, Outcomes and Policy, College of Pharmacy, University of Illinois Chicago, Chicago, Illinois
| | - Pei-Wen Lien
- Department of Pharmacy Systems, Outcomes and Policy, College of Pharmacy, University of Illinois Chicago, Chicago, Illinois
| | | | - Todd A. Lee
- Department of Pharmacy Systems, Outcomes and Policy, College of Pharmacy, University of Illinois Chicago, Chicago, Illinois
| | - Carlos G. Grijalva
- Health Policy and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
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18
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Sandford R, Yadav R, Noble EK, Sumner K, Joshi D, Tartof SY, Wernli KJ, Martin ET, Gaglani M, Zimmerman RK, Talbot HK, Grijalva CG, Belongia EA, Carlson C, Coughlin M, Flannery B, Pearce B, Rogier E. Antibody response to symptomatic infection with SARS-CoV-2 Omicron variant viruses, December 2021-June 2022. medRxiv 2023:2023.11.17.23298700. [PMID: 38014151 PMCID: PMC10680903 DOI: 10.1101/2023.11.17.23298700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
To describe humoral immune responses to symptomatic SARS-CoV-2 infection, we assessed immunoglobulin G binding antibody levels using a commercial multiplex bead assay against SARS-CoV-2 ancestral spike protein receptor binding domain (RBD) and nucleocapsid protein (N). We measured binding antibody units per mL (BAU/mL) during acute illness within 5 days of illness onset and during convalescence in 105 ambulatory patients with laboratory-confirmed SARS-CoV-2 infection with Omicron variant viruses. Comparing acute- to convalescent phase antibody concentrations, geometric mean anti-N antibody concentrations increased 47-fold from 5.5 to 259 BAU/mL. Anti-RBD antibody concentrations increased 2.5-fold from 1258 to 3189 BAU/mL.
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19
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Surie D, Yuengling KA, DeCuir J, Zhu Y, Gaglani M, Ginde AA, Talbot HK, Casey JD, Mohr NM, Ghamande S, Gibbs KW, Files DC, Hager DN, Ali H, Prekker ME, Gong MN, Mohamed A, Johnson NJ, Steingrub JS, Peltan ID, Brown SM, Leis AM, Khan A, Hough CL, Bender WS, Duggal A, Wilson JG, Qadir N, Chang SY, Mallow C, Kwon JH, Exline MC, Lauring AS, Shapiro NI, Columbus C, Vaughn IA, Ramesh M, Safdar B, Halasa N, Chappell JD, Grijalva CG, Baughman A, Rice TW, Womack KN, Han JH, Swan SA, Mukherjee I, Lewis NM, Ellington S, McMorrow ML, Martin ET, Self WH. Disease Severity of Respiratory Syncytial Virus Compared with COVID-19 and Influenza Among Hospitalized Adults Aged ≥60 Years - IVY Network, 20 U.S. States, February 2022-May 2023. MMWR Morb Mortal Wkly Rep 2023; 72:1083-1088. [PMID: 37796753 PMCID: PMC10564326 DOI: 10.15585/mmwr.mm7240a2] [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] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/07/2023]
Abstract
On June 21, 2023, CDC's Advisory Committee on Immunization Practices recommended respiratory syncytial virus (RSV) vaccination for adults aged ≥60 years, offered to individual adults using shared clinical decision-making. Informed use of these vaccines requires an understanding of RSV disease severity. To characterize RSV-associated severity, 5,784 adults aged ≥60 years hospitalized with acute respiratory illness and laboratory-confirmed RSV, SARS-CoV-2, or influenza infection were prospectively enrolled from 25 hospitals in 20 U.S. states during February 1, 2022-May 31, 2023. Multivariable logistic regression was used to compare RSV disease severity with COVID-19 and influenza severity on the basis of the following outcomes: 1) standard flow (<30 L/minute) oxygen therapy, 2) high-flow nasal cannula (HFNC) or noninvasive ventilation (NIV), 3) intensive care unit (ICU) admission, and 4) invasive mechanical ventilation (IMV) or death. Overall, 304 (5.3%) enrolled adults were hospitalized with RSV, 4,734 (81.8%) with COVID-19 and 746 (12.9%) with influenza. Patients hospitalized with RSV were more likely to receive standard flow oxygen, HFNC or NIV, and ICU admission than were those hospitalized with COVID-19 or influenza. Patients hospitalized with RSV were more likely to receive IMV or die compared with patients hospitalized with influenza (adjusted odds ratio = 2.08; 95% CI = 1.33-3.26). Among hospitalized older adults, RSV was less common, but was associated with more severe disease than COVID-19 or influenza. High disease severity in older adults hospitalized with RSV is important to consider in shared clinical decision-making regarding RSV vaccination.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - IVY Network
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, CDC; Vanderbilt University Medical Center, Nashville, Tennessee; Baylor Scott & White Health, Temple, Texas; Texas A&M University College of Medicine, Temple, Texas; Baylor, Scott & White Health, Dallas, Texas; University of Colorado School of Medicine, Aurora, Colorado; University of Iowa, Iowa City, Iowa; Wake Forest University Baptist Medical Center, Winston-Salem, North Carolina; Johns Hopkins Hospital, Baltimore, Maryland; Hennepin County Medical Center, Minneapolis, Minnesota; Montefiore Healthcare Center, Albert Einstein College of Medicine, New York, New York; University of Washington School of Medicine, Seattle, Washington; Baystate Medical Center, Springfield, Massachusetts; Intermountain Medical Center and University of Utah, Salt Lake City, Utah; University of Michigan School of Public Health, Ann Arbor, Michigan; Oregon Health & Science University Hospital, Portland, Oregon; Emory University School of Medicine, Atlanta, Georgia; Cleveland Clinic, Cleveland, Ohio; Stanford University School of Medicine, Stanford, California; Ronald Reagan-UCLA Medical Center, Los Angeles, California; University of Miami, Miami, Florida; Washington University, St. Louis, Missouri; The Ohio State University Wexner Medical Center, Columbus, Ohio; University of Michigan School of Medicine, Ann Arbor, Michigan; Beth Israel Deaconess Medical Center, Boston, Massachusetts; Henry Ford Health, Detroit, Michigan; Yale University School of Medicine, New Haven, Connecticut; Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
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20
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Arnold SR, Jain S, Dansie D, Kan H, Williams DJ, Ampofo K, Anderson EJ, Grijalva CG, Bramley AM, Pavia AT, Edwards KM, Nolan VG, McCullers JA, Kaufman RA. Association of Radiology Findings with Etiology of Community Acquired Pneumonia among Children. J Pediatr 2023; 261:113333. [PMID: 36736585 DOI: 10.1016/j.jpeds.2023.01.010] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 01/24/2023] [Accepted: 01/24/2023] [Indexed: 02/05/2023]
Abstract
OBJECTIVE To evaluate the association between consolidation on chest radiograph and typical bacterial etiology of childhood community acquired pneumonia (CAP) in the Etiology of Pneumonia in the Community study. STUDY DESIGN Hospitalized children <18 years of age with CAP enrolled in the Etiology of Pneumonia in the Community study at 3 children's hospitals between January 2010 and June 2012 were included. Testing of blood and respiratory specimens used multiple modalities to identify typical and atypical bacterial, or viral infection. Study radiologists classified chest radiographs (consolidation, other infiltrates [interstitial and/or alveolar], pleural effusion) using modified World Health Organization pneumonia criteria. Infiltrate patterns were compared according to etiology of CAP. RESULTS Among 2212 children, there were 1302 (59%) with consolidation with or without other infiltrates, 910 (41%) with other infiltrates, and 296 (13%) with pleural effusion. In 1795 children, at least 1 pathogen was detected. Among these patients, consolidation (74%) was the most frequently observed pattern (74% in typical bacterial CAP, 58% in atypical bacterial CAP, and 54% in viral CAP). Positive and negative predictive values of consolidation for typical bacterial CAP were 12% (95% CI 10%-15%) and 96% (95% CI 95%-97%) respectively. In a multivariable model, typical bacterial CAP was associated with pleural effusion (OR 7.3, 95% CI 4.7-11.2) and white blood cell ≥15 000/mL (OR 3.2, 95% CI 2.2-4.9), and absence of wheeze (OR 0.5, 95% CI 0.3-0.8) or viral detection (OR 0.2, 95% CI 0.1-0.4). CONCLUSIONS Consolidation predicted typical bacterial CAP poorly, but its absence made typical bacterial CAP unlikely. Pleural effusion was the best predictor of typical bacterial infection, but too uncommon to aid etiology prediction.
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Affiliation(s)
- Sandra R Arnold
- Department of Pediatrics, University of Tennessee Health Sciences Center, Memphis, TN.
| | - Seema Jain
- Centers for Disease Control and Prevention, Atlanta, GA
| | - David Dansie
- Department of Radiology, University of Utah Health Science Center, Salt Lake City, UT
| | - Herman Kan
- Department of Radiology, Vanderbilt University School of Medicine, Nashville, TN; Department of Radiology, Baylor College of Medicine, Houston, TX
| | - Derek J Williams
- Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, TN
| | - Krow Ampofo
- Department of Pediatrics, University of Utah Health Science Center, Salt Lake City, UT
| | - Evan J Anderson
- Departments of Pediatrics and Medicine, Emory University School of Medicine, Atlanta, GA
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN
| | | | - Andrew T Pavia
- Department of Pediatrics, University of Utah Health Science Center, Salt Lake City, UT
| | - Kathryn M Edwards
- Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, TN
| | - Vikki G Nolan
- Division of Epidemiology, School of Public Health, University of Memphis, Memphis, TN
| | - Jonathan A McCullers
- Department of Pediatrics, University of Tennessee Health Sciences Center, Memphis, TN; Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN
| | - Robert A Kaufman
- Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN
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21
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Howa AC, Zhu Y, Wyatt D, Markus T, Chappell JD, Halasa N, Trabue CH, Olson S, Ferdinands J, Garg S, Schaffner W, Grijalva CG, Talbot HK. Estimating the Burden of Influenza Hospitalizations Across Multiple Seasons Using Capture-Recapture. J Infect Dis 2023:jiad417. [PMID: 37768170 DOI: 10.1093/infdis/jiad417] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 09/14/2023] [Accepted: 09/21/2023] [Indexed: 09/29/2023] Open
Abstract
INTRODUCTION Influenza remains an important cause of hospitalizations in the United States. Estimating the number of influenza hospitalizations is vital for public health decision making. Combining existing surveillance systems through capture-recapture methods allows for more comprehensive burden estimations. METHODS Data from independent surveillance systems were combined using capture-recapture methods to estimate influenza hospitalization rates for children and adults in Middle Tennessee during consecutive influenza seasons from 2016-17 through 2019-20. EIP identified cases through surveillance of laboratory results for hospitalized children and adults. HAIVEN and NVSN recruited hospitalized patients with respiratory symptoms or fever. Population-based influenza rates and the proportion of cases detected by each surveillance system were calculated. RESULTS Estimated overall influenza hospitalization rates ranged from 23 influenza-related hospitalizations per 10,000 persons in 2016-17 to 40 per 10,000 persons in 2017-18. Adults age ≥65 years had the highest hospitalization rates across seasons and experienced a rate of 170 hospitalizations per 10,000 persons during the 2017-18 season. EIP consistently identified a higher proportion of influenza cases for adults and children compared with HAIVEN and NVSN, respectively. CONCLUSION Current surveillance systems underestimate the influenza burden. Capture-recapture provides an alternative approach to use data from independent surveillance systems and complement population-based burden estimates.
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Affiliation(s)
- Amanda C Howa
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dayna Wyatt
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Tiffanie Markus
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN, USA
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Samantha Olson
- Influenza Division, National Center for Immunization and Respiratory Disease, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jill Ferdinands
- Influenza Division, National Center for Immunization and Respiratory Disease, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Shikha Garg
- Influenza Division, National Center for Immunization and Respiratory Disease, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - William Schaffner
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - H Keipp Talbot
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
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22
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Sumner KM, Yadav R, Noble EK, Sandford R, Joshi D, Tartof SY, Wernli KJ, Martin ET, Gaglani M, Zimmerman RK, Talbot HK, Grijalva CG, Chung JR, Rogier E, Coughlin MM, Flannery B. Anti-SARS-CoV-2 Antibody Levels Associated with COVID-19 Protection in Outpatients Tested for SARS-CoV-2, US Flu VE Network, October 2021-June 2022. medRxiv 2023:2023.09.21.23295919. [PMID: 37790578 PMCID: PMC10543239 DOI: 10.1101/2023.09.21.23295919] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Background We assessed the association between antibody concentration ≤5 days of symptom onset and COVID-19 illness among patients enrolled in a test-negative study. Methods From October 2021-June 2022, study sites in seven states enrolled and tested respiratory specimens from patients of all ages presenting with acute respiratory illness for SARS-CoV-2 infection using rRT-PCR. In blood specimens, we measured concentration of anti-SARS-CoV-2 antibodies against the ancestral strain spike protein receptor binding domain (RBD) and nucleocapsid (N) antigens in standardized binding antibody units (BAU/mL). Percent reduction in odds of symptomatic COVID-19 by anti-RBD antibody was estimated using logistic regression modeled as (1-adjusted odds ratio of COVID-19)×100, adjusting for COVID-19 vaccination status, age, site, and high-risk exposure. Results A total of 662 (33%) of 2,018 symptomatic patients tested positive for acute SARS-CoV-2 infection. During the Omicron-predominant period, geometric mean anti-RBD binding antibody concentrations measured 823 BAU/mL (95%CI:690-981) among COVID-19 case-patients versus 1,189 BAU/mL (95%CI:1,050-1,347) among SARS-CoV-2 test-negative patients. In the adjusted logistic regression, increasing levels of anti-RBD antibodies were associated with reduced odds of COVID-19 for both Delta and Omicron infections. Conclusion Higher anti-RBD antibodies in patients were associated with protection against symptomatic COVID-19 during emergence of SARS-CoV-2 Delta and Omicron variants.
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Affiliation(s)
- Kelsey M. Sumner
- Centers for Disease Control and Prevention, Atlanta, GA, USA
- Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ruchi Yadav
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Emma K. Noble
- Centers for Disease Control and Prevention, Atlanta, GA, USA
- Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee, USA
| | - Ryan Sandford
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Devyani Joshi
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sara Y. Tartof
- Kaiser Permanente Southern California, Department of Research & Evaluation
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA
| | - Karen J. Wernli
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Emily T Martin
- University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, TX, USA
- Texas A&M University College of Medicine, Temple, TX, USA
| | | | | | | | - Jessie R. Chung
- Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Eric Rogier
- Centers for Disease Control and Prevention, Atlanta, GA, USA
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23
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Antoon JW, Williams DJ, Bruce J, Sekmen M, Zhu Y, Edwards KM, Grijalva CG. Population-Based Incidence of Influenza-Associated Serious Neuropsychiatric Events in Children and Adolescents. JAMA Pediatr 2023; 177:967-969. [PMID: 37486679 PMCID: PMC10366945 DOI: 10.1001/jamapediatrics.2023.2304] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 03/20/2023] [Accepted: 05/04/2023] [Indexed: 07/25/2023]
Abstract
This cohort study assesses the incidence of influenza-associated serious neuropsychiatric events among US children and adolescents.
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Affiliation(s)
- James W. Antoon
- Division of Hospital Medicine, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Derek J. Williams
- Division of Hospital Medicine, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Jean Bruce
- Division of Pharmacoepidemiology, Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
- Division of Pharmacoepidemiology, Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Mert Sekmen
- Division of Hospital Medicine, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Kathryn M. Edwards
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Carlos G. Grijalva
- Division of Pharmacoepidemiology, Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
- Division of Pharmacoepidemiology, Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
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Howard LM, Huang X, Chen W, Liu Y, Edwards KM, Griffin MR, Zhu Y, Vidal JE, Klugman KP, Gil AI, Soper NR, Thomsen IP, Gould K, Hinds J, Lanata CF, Grijalva CG. Association between nasopharyngeal colonization with multiple pneumococcal serotypes and total pneumococcal colonization density in young Peruvian children. Int J Infect Dis 2023; 134:248-255. [PMID: 37451394 PMCID: PMC10804940 DOI: 10.1016/j.ijid.2023.07.007] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 07/05/2023] [Accepted: 07/09/2023] [Indexed: 07/18/2023] Open
Abstract
OBJECTIVES We examined the association of nasopharyngeal (NP) pneumococcal co-colonization (>1 pneumococcal serotype) and pneumococcal density in young Peruvian children enrolled in a prospective cohort study. METHODS NP swabs collected monthly from children aged <3 years during both asymptomatic and acute respiratory illness (ARI) periods underwent culture-enriched microarray for pneumococcal detection and serotyping and lytA polymerase chain reaction for density assessment. We examined the serotypes commonly associated with co-colonization and the distribution of densities by co-colonization, age, current ARI, and other covariates. The association of co-colonization and pneumococcal density was assessed using a multivariable mixed-effects linear regression model, accounting for repeated measures and relevant covariates. RESULTS A total of 27 children contributed 575 monthly NP samples. Pneumococcus was detected in 302 of 575 (53%) samples, and co-colonization was detected in 61 of these 302 (20%). The total densities were higher during ARI than non-ARI periods and lowest among the youngest children, increasing with age. In the multivariable analysis, there was no significant association between pneumococcal density and co-colonization (coefficient estimate 0.22, 95% confidence interval 0.11-0.55; reference: single-serotype detections). Serotypes 23B and 19F were detected significantly more frequently as single isolates. CONCLUSION Pneumococcal co-colonization was common and not associated with increased pneumococcal density. Differential propensity for co-colonization was observed among individual serotypes.
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Affiliation(s)
- Leigh M Howard
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, USA.
| | - Xiang Huang
- Department of Medicine, Vanderbilt University Medical Center, Nashville, USA
| | - Wencong Chen
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, USA
| | - Yuhan Liu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, USA
| | - Kathryn M Edwards
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, USA
| | - Marie R Griffin
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, USA
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, USA
| | - Jorge E Vidal
- Department of Microbiology and Immunology, University of Mississippi Medical Center, Jackson, USA
| | - Keith P Klugman
- Rollins School of Public Health, Emory University; Atlanta, USA
| | - Ana I Gil
- Instituto de Investigacion Nutricional; Lima, Peru
| | - Nicole R Soper
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, USA
| | - Isaac P Thomsen
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, USA
| | - Katherine Gould
- Institute for Infection and Immunity, St. George's, University of London, London, UK; BUGS Bioscience, London Bioscience Innovation Centre, London, UK
| | - Jason Hinds
- Institute for Infection and Immunity, St. George's, University of London, London, UK; BUGS Bioscience, London Bioscience Innovation Centre, London, UK
| | - Claudio F Lanata
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, USA; Instituto de Investigacion Nutricional; Lima, Peru
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, USA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, USA
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Antoon JW, Nian H, Ampofo K, Zhu Y, Sartori LF, Johnson J, Arnold DH, Stassun J, Pavia AT, Grijalva CG, Williams DJ. Validation of Childhood Pneumonia Prognostic Models for Use in Emergency Care Settings. J Pediatric Infect Dis Soc 2023; 12:451-458. [PMID: 37584111 PMCID: PMC10469586 DOI: 10.1093/jpids/piad054] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 08/08/2023] [Indexed: 08/17/2023]
Abstract
BACKGROUND Unwarranted variation in disposition decisions exist among children with pneumonia. We validated three prognostic models for predicting pneumonia severity among children in the emergency department (ED) and hospital. METHODS We performed a two-center, prospective study of children 6 months to <18 years presenting to the ED with pneumonia from January 2014 to May 2019. We evaluated three previously developed disease-specific prognostic models which use demographic, clinical, and diagnostic predictor variables, with each model estimating risk for Very Severe (mechanical ventilation or shock), Severe (ICU without very severe features), and Moderate/Mild (Hospitalization without severe features or ED discharge) pneumonia. Predictive accuracy was measured using discrimination (concordance or c-statistic) and re-calibration. RESULTS There were 1088 children included in one or more of the three models. Median age was 3.6 years and the majority of children were male (53.7%) and identified as non-Hispanic White (63.7%). The distribution for the ordinal severity outcome was mild or moderate (79.1%), severe (15.9%), and very severe (4.9%). The three models each demonstrated excellent discrimination (C-statistic range across models [0.786-0.803]) with no appreciable degradation in predictive accuracy from the derivation cohort. CONCLUSIONS All three prognostic models accurately identified risk for three clinically meaningful levels of pneumonia severity and demonstrated very good predictive performance. Physiologic variables contributed the most to model prediction. Application of these objective tools may help standardize and improve disposition and other management decisions for children with pneumonia.
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Affiliation(s)
- James W Antoon
- Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Hui Nian
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Krow Ampofo
- Department of Pediatrics, University of Utah School of Medicine, Nashville, Tennessee, USA
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Laura F Sartori
- Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
- Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Jakobi Johnson
- Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Donald H Arnold
- Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Justine Stassun
- Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Andrew T Pavia
- Department of Pediatrics, University of Utah School of Medicine, Nashville, Tennessee, USA
| | - Carlos G Grijalva
- Departments of Health Policy and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Derek J Williams
- Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
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Raglow Z, Surie D, Chappell JD, Zhu Y, Martin ET, Kwon JH, Frosch AE, Mohamed A, Gilbert J, Bendall EE, Bahr A, Halasa N, Talbot HK, Grijalva CG, Baughman A, Womack KN, Johnson C, Swan SA, Koumans E, McMorrow ML, Harcourt JL, Atherton LJ, Burroughs A, Thornburg NJ, Self WH, Lauring AS. SARS-CoV-2 shedding and evolution in immunocompromised hosts during the Omicron period: a multicenter prospective analysis. medRxiv 2023:2023.08.22.23294416. [PMID: 37662226 PMCID: PMC10473782 DOI: 10.1101/2023.08.22.23294416] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Background Prolonged SARS-CoV-2 infections in immunocompromised hosts may predict or source the emergence of highly mutated variants. The types of immunosuppression placing patients at highest risk for prolonged infection and associated intrahost viral evolution remain unclear. Methods Adults aged ≥18 years were enrolled at 5 hospitals and followed from 4/11/2022 - 2/1/2023. Eligible patients were SARS-CoV-2-positive in the previous 14 days and had a moderate or severely immunocompromising condition or treatment. Nasal specimens were tested by rRT-PCR every 2-4 weeks until negative in consecutive specimens. Positive specimens underwent viral culture and whole genome sequencing. A Cox proportional hazards model was used to assess factors associated with duration of infection. Results We enrolled 150 patients with: B cell malignancy or anti-B cell therapy (n=18), solid organ or hematopoietic stem cell transplant (SOT/HSCT) (n=59), AIDS (n=5), non-B cell malignancy (n=23), and autoimmune/autoinflammatory conditions (n=45). Thirty-eight (25%) were rRT-PCR-positive and 12 (8%) were culture-positive ≥21 days after initial SARS-CoV-2 detection or illness onset. Patients with B cell dysfunction had longer duration of rRT-PCR-positivity compared to those with autoimmune/autoinflammatory conditions (aHR 0.32, 95% CI 0.15-0.64). Consensus (>50% frequency) spike mutations were identified in 5 individuals who were rRT-PCR-positive >56 days; 61% were in the receptor-binding domain (RBD). Mutations shared by multiple individuals were rare (<5%) in global circulation. Conclusions In this cohort, prolonged replication-competent Omicron SARS-CoV-2 infections were uncommon. Within-host evolutionary rates were similar across patients, but individuals with infections lasting >56 days accumulated spike mutations, which were distinct from those seen globally.
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Affiliation(s)
- Zoe Raglow
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Diya Surie
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Emily T Martin
- School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Jennie H Kwon
- Department of Medicine, Washington University, St. Louis, Missouri
| | - Anne E Frosch
- Department of Medicine, Hennepin County Medical Center, Minneapolis, Minnesota
| | - Amira Mohamed
- Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Julie Gilbert
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Emily E Bendall
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Auden Bahr
- Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - H Keipp Talbot
- Departments of Medicine and Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Adrienne Baughman
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Kelsey N Womack
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Cassandra Johnson
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Sydney A Swan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Emilia Koumans
- Division of STD Prevention, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
| | - Meredith L McMorrow
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
| | - Jennifer L Harcourt
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
| | - Lydia J Atherton
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
| | - Ashley Burroughs
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
| | - Natalie J Thornburg
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
| | - Wesley H Self
- Vanderbilt Institute for Clinical and Translational Research and Department of Emergency Medicine and, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Adam S Lauring
- Departments of Internal Medicine and Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan
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Dimcheff DE, Blair CN, Zhu Y, Chappell JD, Gaglani M, McNeal T, Ghamande S, Steingrub JS, Shapiro NI, Duggal A, Busse LW, Frosch AEP, Peltan ID, Hager DN, Gong MN, Exline MC, Khan A, Wilson JG, Qadir N, Ginde AA, Douin DJ, Mohr NM, Mallow C, Martin ET, Johnson NJ, Casey JD, Stubblefield WB, Gibbs KW, Kwon JH, Talbot HK, Halasa N, Grijalva CG, Baughman A, Womack KN, Hart KW, Swan SA, Surie D, Thornburg NJ, McMorrow ML, Self WH, Lauring AS. Total and Subgenomic RNA Viral Load in Patients Infected With SARS-CoV-2 Alpha, Delta, and Omicron Variants. J Infect Dis 2023; 228:235-244. [PMID: 36883903 PMCID: PMC10420395 DOI: 10.1093/infdis/jiad061] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 03/06/2023] [Indexed: 03/09/2023] Open
Abstract
BACKGROUND Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomic and subgenomic RNA levels are frequently used as a correlate of infectiousness. The impact of host factors and SARS-CoV-2 lineage on RNA viral load is unclear. METHODS Total nucleocapsid (N) and subgenomic N (sgN) RNA levels were measured by quantitative reverse transcription polymerase chain reaction (RT-qPCR) in specimens from 3204 individuals hospitalized with coronavirus disease 2019 (COVID-19) at 21 hospitals. RT-qPCR cycle threshold (Ct) values were used to estimate RNA viral load. The impact of time of sampling, SARS-CoV-2 variant, age, comorbidities, vaccination, and immune status on N and sgN Ct values were evaluated using multiple linear regression. RESULTS Mean Ct values at presentation for N were 24.14 (SD 4.53) for non-variants of concern, 25.15 (SD 4.33) for Alpha, 25.31 (SD 4.50) for Delta, and 26.26 (SD 4.42) for Omicron. N and sgN RNA levels varied with time since symptom onset and infecting variant but not with age, comorbidity, immune status, or vaccination. When normalized to total N RNA, sgN levels were similar across all variants. CONCLUSIONS RNA viral loads were similar among hospitalized adults, irrespective of infecting variant and known risk factors for severe COVID-19. Total N and subgenomic RNA N viral loads were highly correlated, suggesting that subgenomic RNA measurements add little information for the purposes of estimating infectivity.
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Affiliation(s)
- Derek E Dimcheff
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Christopher N Blair
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Manjusha Gaglani
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Tresa McNeal
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Shekhar Ghamande
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Jay S Steingrub
- Department of Medicine, Baystate Medical Center, Springfield, Massachusetts, USA
| | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Abhijit Duggal
- Department of Medicine, Cleveland Clinic, Cleveland, Ohio, USA
| | | | - Anne E P Frosch
- Department of Medicine, Hennepin County Medical Center, Minneapolis, Minnesota, USA
| | - Ithan D Peltan
- Department of Medicine, Intermountain Medical Center, Murray, Utah, USA
- Department of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - David N Hager
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michelle N Gong
- Department of Medicine, Montefiore Health System, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Matthew C Exline
- Department of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Akram Khan
- Department of Medicine, Oregon Health and Sciences University, Portland, Oregon, USA
| | - Jennifer G Wilson
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Nida Qadir
- Department of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - David J Douin
- Department of Anesthesiology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Nicholas M Mohr
- Department of Emergency Medicine, University of Iowa, Iowa City, Iowa, USA
| | | | - Emily T Martin
- School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Nicholas J Johnson
- Department of Emergency Medicine and Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, Washington, USA
| | - Jonathan D Casey
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - William B Stubblefield
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kevin W Gibbs
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Jennie H Kwon
- Department of Medicine, Washington University, St Louis, Missouri, USA
| | - H Keipp Talbot
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adrienne Baughman
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kelsey N Womack
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kimberly W Hart
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sydney A Swan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Diya Surie
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Natalie J Thornburg
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Meredith L McMorrow
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Wesley H Self
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adam S Lauring
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA
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Ochoa M, Peña B, Flores O, Gil AI, Ecker L, Cornejo R, Howard LM, Grijalva CG, Lanata CF. Pooling of six respiratory samples for the detection of SARS-CoV-2: A validation and cost study in a cohort in Lima, Peru. Heliyon 2023; 9:e18904. [PMID: 37600387 PMCID: PMC10432201 DOI: 10.1016/j.heliyon.2023.e18904] [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] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 07/20/2023] [Accepted: 08/02/2023] [Indexed: 08/22/2023] Open
Abstract
Background The continuous evolution of the SARS-CoV-2 pandemic has led to a high demand for diagnostic testing and major shortages in testing materials, especially in low- and middle-income countries. As an alternative to testing individual samples, pooling of respiratory samples has been suggested. Previous studies have assessed performance of pooling, mainly using nasopharyngeal samples for the detection of SARS-CoV-2, but few studies have examined the performance of pooling the more practical nasal swabs or saliva samples. Objective To evaluate the sensitivity, specificity, and potential cost reduction of pooling of nasal swab (NS) and saliva (SL) samples for detection of SARS-CoV-2 in a community-based cohort study in Lima, Peru. Study design A prospective cohort study was conducted in a community setting in San Juan de Lurigancho, Lima-Peru. NS and SL samples were collected from 132 participants twice-a-week for a 2-month period. Pools of 2 to 12 samples of the same type, from participants of the same household, were tested by RT-PCR. After pooled testing, all individual samples from positive pools and all individual samples from randomly chosen negative pools were evaluated. For assessment of diagnostic performance, pool testing results were compared with results from individual testing, which served as reference, and concordance in pooled and individual test detections was evaluated. Laboratory costs for both types of samples and testing were compared. Results A total of 2008 NS and 2002 SL samples were collected from 132 study participants. We tested 329 NS and 333 SL pools. The mean pool size for NS and SL pools was 6.22 (SD = 0.92) and 6.39 (SD = 1.71), respectively. Using individual testing as reference, NS pooling of 6 had a sensitivity and specificity of 94% and 100%, respectively, with kappa of 0.97 (CI 95%: 0.93-1.00). The corresponding values for SL pooling of 6 were 83%, 100%, and 0.90 (CI 95%: 0.83-0.97). Compared with individual testing, pooling resulted in a cost reduction of 74.8% for NS and 72.4% for SL samples. Conclusions Pooling easy-to-collect respiratory samples, especially NS, demonstrated very high diagnostic performance for detection of SARS-CoV-2 with substantial cost savings. This approach could be considered in large population screening programs, especially in LMIC.
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Affiliation(s)
- Mayra Ochoa
- Instituto de Investigación Nutricional, Lima 15024, Peru
| | - Bia Peña
- Instituto de Investigación Nutricional, Lima 15024, Peru
| | - Omar Flores
- Instituto de Investigación Nutricional, Lima 15024, Peru
| | - Ana I. Gil
- Instituto de Investigación Nutricional, Lima 15024, Peru
| | - Lucie Ecker
- Instituto de Investigación Nutricional, Lima 15024, Peru
| | | | - Leigh M. Howard
- Vanderbilt University and Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Carlos G. Grijalva
- Vanderbilt University and Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Claudio F. Lanata
- Instituto de Investigación Nutricional, Lima 15024, Peru
- Vanderbilt University and Vanderbilt University Medical Center, Nashville, TN 37232, USA
- London School of Hygiene and Tropical Medicine, London WC1E, UK
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29
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Johnson JA, Williams DJ, Feinstein JA, Grijalva CG, Zhu Y, Dickinson E, Stassun JC, Sekmen M, Tanguturi YC, Gay JC, Antoon JW. Positive Predictive Value of ICD-10 Codes to Identify Acute Suicidal and Self Harm Behaviors. Hosp Pediatr 2023:e2023007220. [PMID: 37497585 PMCID: PMC10375029 DOI: 10.1542/hpeds.2023-007220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
Abstract
OBJECTIVE The accuracy of diagnosis codes to identify suicidal behaviors, including suicide ideation (SI) and self-harm (SH) events, is unknown. The objective of this study was to determine the positive predictive value (PPV) of International Classification of Disease, 10th Revision codes to identify SI/SH events that may be used in studies using administrative and claims data. METHODS We performed a secondary analysis of a cross-sectional study of children 5 to 17 years of age hospitalized at 2 US children's hospitals with a discharge diagnosis of a neuropsychiatric event, including an SI or SH event. A true International Classification of Disease, 10th Revision SI or SH diagnosis was defined as SI or SH present on admission and directly related to hospitalization as compared with physician record review. PPV with 95% confidence intervals (CIs) were calculated overall and stratified by diagnosis order and age (5 to 11 years vs 12 to 17 years). RESULTS There were 376 children or adolescents with a discharge diagnosis of an SI or SH event. The median age was 14 years, and the majority of individuals were female (58%), non-Hispanic White (69%), and privately insured (57%). A total of 332 confirmed SI/SH cases were identified with a PPV of 0.88 (95% CI 0.85-0.91). PPVs were similar when stratified by diagnosis order: primary 0.94 (95% 0.88-0.97) versus secondary 0.86 (95% CI 81-90). PPVs were also similar in adolescents (0.89, CI 0.85-0.92) compared with children (0.84, 95% CI 0.74-0.91). CONCLUSIONS The use of these validated code sets to identify SI or SH events may minimize misclassification in future studies of suicidal and self-harm hospitalizations.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Yasas C Tanguturi
- Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee; and
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30
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Wiese AD, Grijalva CG. Response to Rezahosseini and Barrella Harboe. Clin Infect Dis 2023; 77:330-331. [PMID: 36976273 PMCID: PMC10371306 DOI: 10.1093/cid/ciad180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 03/21/2023] [Accepted: 03/24/2023] [Indexed: 03/29/2023] Open
Affiliation(s)
- Andrew D Wiese
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Geriatric Research Education and Clinical Center, TN Valley Health Care System, Nashville, Tennessee, USA
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31
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Grossarth S, Osmundson SS, Wiese AD, Phillips SE, Pham A, Leech AA, Patrick SW, Spieker AJ, Grijalva CG, Adgent MA. Maternal Opioid Use Disorder and the Risk of Postneonatal Infant Mortality. JAMA Pediatr 2023; 177:675-683. [PMID: 37155175 PMCID: PMC10167598 DOI: 10.1001/jamapediatrics.2023.1047] [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: 01/19/2023] [Accepted: 03/17/2023] [Indexed: 05/10/2023]
Abstract
Importance The risk of serious long-term outcomes for infants born to individuals with opioid use disorder (OUD) is not fully characterized, nor is it well understood whether risks are modified by infant diagnosis of neonatal opioid withdrawal syndrome (NOWS). Objective To characterize the risk of postneonatal infant mortality among infants with a NOWS diagnosis or born to individuals with OUD. Design, Setting, and Participants The study team conducted a retrospective cohort study of 390 075 infants born from 2007 through 2018 to mothers who were enrolled in Tennessee Medicaid from 183 days prior to delivery through 28 days post partum (baseline). Maternal and infant baseline characteristics were measured using administrative claims and birth certificates, and infants were followed up from day 29 post partum through day 365 or death. Deaths were identified using linked death certificates through 2019. These data were analyzed from February 10, 2022, through March 3, 2023. Exposure Infant exposures included birth to an individual with OUD or postnatal diagnosis of NOWS. The study team defined a pregnant individual's OUD status (maternal OUD) as having OUD diagnosis or a maintenance medication prescription fill during baseline; this study defined NOWS as having NOWS diagnosis up to day 28. Groups were categorized by exposures as maternal OUD with NOWS (OUD positive/NOWS positive), maternal OUD without NOWS (OUD positive/NOWS negative), no documented maternal OUD with NOWS (OUD negative/NOWS positive), and no documented maternal OUD or NOWS (OUD negative/NOWS negative, unexposed). Main Outcome and Measures The outcome was postneonatal infant death, confirmed by death certificates. Cox proportional hazards models were used, adjusting for baseline maternal and infant characteristics, to estimate adjusted hazard ratios (aHRs) and 95% CIs for the association between maternal OUD or NOWS diagnosis with postneonatal death. Results Pregnant individuals in the cohort had a mean (SD) age of 24.5 (5.2) years; 51% of infants were male. The study team observed 1317 postneonatal infant deaths and incidence rates of 3.47 (OUD negative/NOWS negative, 375 718), 8.41 (OUD positive/NOWS positive, 4922); 8.95 (OUD positive/NOWS negative, 7196), and 9.25 (OUD negative/NOWS positive, 2239) per 1000 person-years. After adjustment, the risk of postneonatal death was elevated for all groups, relative to the unexposed: OUD positive/NOWS positive (aHR, 1.54; 95% CI, 1.07-2.21), OUD positive/NOWS negative (aHR, 1.62; 95% CI, 1.21-2.17), and OUD negative/NOWS positive (aHR, 1.64; 95% CI, 1.02-2.65). Conclusions and Relevance Infants born to individuals with OUD or with a NOWS diagnosis had an increased risk of postneonatal infant mortality. Future work is necessary to create and evaluate supportive interventions for individuals with OUD during and after pregnancy to reduce adverse outcomes.
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Affiliation(s)
- Sarah Grossarth
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Sarah S. Osmundson
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Andrew D. Wiese
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt Center for Child Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Sharon E. Phillips
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Amelie Pham
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ashley A. Leech
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt Center for Child Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Stephen W. Patrick
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt Center for Child Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
- Mildred Stahlman Division of Neonatology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Andrew J. Spieker
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Carlos G. Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
- Veterans’ Health Administration Tennessee Valley Healthcare System, Geriatric Research Education and Clinical Center (GRECC), Nashville
| | - Margaret A. Adgent
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
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Wiese AD, Mitchel E, Ndi D, Markus TM, Talbot HK, Schaffner W, Grijalva CG. Risk of Acute Myocardial Infarction Among Patients With Laboratory-Confirmed Invasive Pneumococcal Disease: A Self-Controlled Case Series Study. Clin Infect Dis 2023; 76:2171-2177. [PMID: 36751004 PMCID: PMC10273377 DOI: 10.1093/cid/ciad065] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/26/2023] [Accepted: 02/02/2023] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND Acute myocardial infarction (AMI) events have been reported among patients with certain viral and bacterial infections. Whether invasive pneumococcal disease (IPD) increases the risk of AMI remains unclear. We examined whether laboratory-confirmed IPD was associated with the risk of AMI. METHODS We conducted a self-controlled case series analysis among adult Tennessee residents with evidence of an AMI hospitalization (2003-2019). Patient follow-up started 1 year before the earliest AMI and continued through the date of death, 1 year after AMI, or study end (December 2019). Periods for AMI assessment included the 7 to 1 days before IPD specimen collection (pre-IPD detection), day 0 through day 7 after IPD specimen collection (current IPD), day 8 to 28 after IPD specimen collection (post-IPD), and a control period (all other follow-up). We used conditional Poisson regression to calculate incidence rate ratios (IRRs) and 95% confidence intervals (CIs) for each risk period compared with control periods using within-person comparisons. RESULTS We studied 324 patients hospitalized for AMI with laboratory-confirmed IPD within 1 year before or after the AMI hospitalization. The incidence of AMI was significantly higher during the pre-IPD detection (IRR, 10.29; 95% CI: 6.33-16.73) and the current IPD (IRR, 92.95; 95% CI: 72.17-119.71) periods but nonsignificantly elevated in the post-IPD risk period (IRR, 1.83; 95% CI: .86-3.91) compared with control periods. The AMI incidence was higher in the post-IPD control period (29 to 365 days after IPD; IRR, 2.95; 95% CI: 2.01-4.32). CONCLUSIONS Hospitalizations with AMI were strongly associated with laboratory-confirmed IPD.
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Affiliation(s)
- Andrew D Wiese
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ed Mitchel
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Danielle Ndi
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Tiffanie M Markus
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - H Keipp Talbot
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - William Schaffner
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Veteran Affairs TN Valley Health Care System, Nashville, TN, USA
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Deyoe JE, Kelly JD, Grijalva CG, Bonenfant G, Lu S, Anglin K, Garcia-Knight M, Pineda-Ramirez J, Hagen MB, Saydah S, Abedi GR, Goldberg SA, Tassetto M, Zhang A, Donohue KC, Davidson MC, Sanchez RD, Djomaleu M, Mathur S, Shak JR, Deeks SG, Peluso MJ, Chiu CY, Zhu Y, Halasa NB, Chappell JD, Mellis A, Reed C, Andino R, Martin JN, Zhou B, Talbot HK, Midgley CM, Rolfes MA. Association of Culturable-Virus Detection and Household Transmission of SARS-CoV-2, California and Tennessee, 2020-2022. J Infect Dis 2023; 227:1343-1347. [PMID: 36705269 PMCID: PMC10266938 DOI: 10.1093/infdis/jiad018] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 12/27/2022] [Accepted: 01/23/2023] [Indexed: 01/28/2023] Open
Abstract
From 2 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) household transmission studies (enrolling April 2020 to January 2022) with rapid enrollment and specimen collection for 14 days, 61% (43/70) of primary cases had culturable virus detected ≥6 days post-onset. Risk of secondary infection among household contacts tended to be greater when primary cases had culturable virus detected after onset. Regardless of duration of culturable virus, most secondary infections (70%, 28/40) had serial intervals <6 days, suggesting early transmission. These data examine viral culture as a proxy for infectiousness, reaffirm the need for rapid control measures after infection, and highlight the potential for prolonged infectiousness (≥6 days) in many individuals.
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Affiliation(s)
- Jessica E Deyoe
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
- San Francisco VA Medical Center, San Francisco, California, USA
- F.I. Proctor Foundation, University of California, San Francisco, California, USA
| | | | - Gaston Bonenfant
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
| | - Khamal Anglin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
| | - Miguel Garcia-Knight
- Department of Microbiology and Immunology, University of California, San Francisco, California, USA
| | - Jesus Pineda-Ramirez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
| | | | - Sharon Saydah
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Glen R Abedi
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Sarah A Goldberg
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
| | - Michel Tassetto
- Department of Microbiology and Immunology, University of California, San Francisco, California, USA
| | - Amethyst Zhang
- Department of Microbiology and Immunology, University of California, San Francisco, California, USA
| | - Kevin C Donohue
- School of Medicine, University of California, San Francisco, California, USA
| | - Michelle C Davidson
- School of Medicine, University of California, San Francisco, California, USA
| | - Ruth Diaz Sanchez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
| | - Manuella Djomaleu
- Department of Microbiology and Immunology, University of California, San Francisco, California, USA
| | - Sujata Mathur
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Institute for Global Health Sciences, University of California, San Francisco, California, USA
| | - Joshua R Shak
- San Francisco VA Medical Center, San Francisco, California, USA
- School of Medicine, University of California, San Francisco, California, USA
| | - Steven G Deeks
- Division of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, California, USA
| | - Michael J Peluso
- Division of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, California, USA
| | - Charles Y Chiu
- Division of Infectious Diseases, University of California, San Francisco, California, USA
| | - Yuwei Zhu
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | | | - Alexandra Mellis
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Carrie Reed
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Raul Andino
- Department of Microbiology and Immunology, University of California, San Francisco, California, USA
| | - Jeffrey N Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - Bin Zhou
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - H Keipp Talbot
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Claire M Midgley
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Melissa A Rolfes
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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Lanier P, Kennedy S, Snyder A, Smith J, Napierala E, Talbert J, Hammerslag L, Humble L, Myers E, Whittington A, Smith J, Bachhuber M, Austin A, Blount T, Stehlin G, Fede ALD, Nguyen H, Bruce J, Grijalva CG, Krishnan S, Otter C, Horton K, Seiler N, Pearson WS. STI Testing among Medicaid Enrollees Initiating PrEP for HIV Prevention in Six Southern States. South Med J 2023; 116:455-463. [PMID: 37263607 DOI: 10.14423/smj.0000000000001564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
OBJECTIVES The purpose of this study was to measure sexually transmitted infection (STI) testing among Medicaid enrollees initiating preexposure prophylaxis (PrEP) to prevent human immunodeficiency virus. Secondary data are in the form of Medicaid enrollment and claims data in six states in the US South. METHODS Research partnerships in six states in the US South developed a distributed research network to accomplish study aims. Each state identified all first-time PrEP users in fiscal year 2017-2018 (combined N = 990) and measured the presence of STI testing for chlamydia, syphilis, and gonorrhea through 2019. Each state calculated the percentage of individuals with at least one STI test during 3-, 6-, and 12-month follow-up periods. RESULTS The proportion of first-time PrEP users that received an STI test varied by state: 37% to 67% of all of the individuals in each state who initiated PrEP received a test within the first 6 months of PrEP treatment and 50% to 77% received a test within the first 12 months. CONCLUSIONS Although the Centers for Disease Control and Prevention recommends STI testing at least every 6 months for PrEP users, our analysis of Medicaid data suggests that STI testing occurs less frequently than recommended in populations at elevated risk of syphilis, gonorrhea, and chlamydia.
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Affiliation(s)
- Paul Lanier
- From the University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | | | | | | | | | | | | | | | | | | | | | | | - Anna Austin
- From the University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | | | - Grace Stehlin
- From the University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | | | | | - Jean Bruce
- Vanderbilt University Medical Center, Nashville, Tennessee
| | | | | | | | - Katie Horton
- The George Washington University, Washington, DC
| | - Naomi Seiler
- The George Washington University, Washington, DC
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Williams DJ, Martin JM, Nian H, Weitkamp AO, Slagle J, Turer RW, Suresh S, Johnson J, Stassun J, Just SL, Reale C, Beebe R, Arnold DH, Antoon JW, Rixe NS, Sartori LF, Freundlich RE, Ampofo K, Pavia AT, Smith JC, Weinger MB, Zhu Y, Grijalva CG. Antibiotic clinical decision support for pneumonia in the ED: A randomized trial. J Hosp Med 2023; 18:491-501. [PMID: 37042682 PMCID: PMC10247532 DOI: 10.1002/jhm.13101] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 11/14/2022] [Revised: 03/06/2023] [Accepted: 03/23/2023] [Indexed: 04/13/2023]
Abstract
BACKGROUND Electronic health record-based clinical decision support (CDS) is a promising antibiotic stewardship strategy. Few studies have evaluated the effectiveness of antibiotic CDS in the pediatric emergency department (ED). OBJECTIVE To compare the effectiveness of antibiotic CDS vs. usual care for promoting guideline-concordant antibiotic prescribing for pneumonia in the pediatric ED. DESIGN Pragmatic randomized clinical trial. SETTING AND PARTICIPANTS Encounters for children (6 months-18 years) with pneumonia presenting to two tertiary care children s hospital EDs in the United States. INTERVENTION CDS or usual care was randomly assigned during 4-week periods within each site. The CDS intervention provided antibiotic recommendations tailored to each encounter and in accordance with national guidelines. MAIN OUTCOME AND MEASURES The primary outcome was exclusive guideline-concordant antibiotic prescribing within the first 24 h of care. Safety outcomes included time to first antibiotic order, encounter length of stay, delayed intensive care, and 3- and 7-day revisits. RESULTS 1027 encounters were included, encompassing 478 randomized to usual care and 549 to CDS. Exclusive guideline-concordant prescribing did not differ at 24 h (CDS, 51.7% vs. usual care, 53.3%; odds ratio [OR] 0.94 [95% confidence interval [CI]: 0.73, 1.20]). In pre-specified stratified analyses, CDS was associated with guideline-concordant prescribing among encounters discharged from the ED (74.9% vs. 66.0%; OR 1.53 [95% CI: 1.01, 2.33]), but not among hospitalized encounters. Mean time to first antibiotic was shorter in the CDS group (3.0 vs 3.4 h; p = .024). There were no differences in safety outcomes. CONCLUSIONS Effectiveness of ED-based antibiotic CDS was greatest among those discharged from the ED. Longitudinal interventions designed to target both ED and inpatient clinicians and to address common implementation challenges may enhance the effectiveness of CDS as a stewardship tool.
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Affiliation(s)
- Derek J Williams
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Judith M Martin
- UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Hui Nian
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Asli O Weitkamp
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Jason Slagle
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | | | - Srinivasan Suresh
- UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Jakobi Johnson
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Justine Stassun
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Shari L Just
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Carrie Reale
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Russ Beebe
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Donald H Arnold
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - James W Antoon
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Nancy S Rixe
- UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Laura F Sartori
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Robert E Freundlich
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Krow Ampofo
- University of Utah and Primary Children's Hospital, Salt Lake City, Utah, USA
| | - Andrew T Pavia
- University of Utah and Primary Children's Hospital, Salt Lake City, Utah, USA
| | - Joshua C Smith
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Matthew B Weinger
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Yuwei Zhu
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Carlos G Grijalva
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
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Richardson TL, Halvorson AE, Hackstadt AJ, Hung AM, Greevy R, Grijalva CG, Elasy TA, Roumie CL. Primary Occurrence of Cardiovascular Events After Adding Sodium-Glucose Cotransporter-2 Inhibitors or Glucagon-like Peptide-1 Receptor Agonists Compared With Dipeptidyl Peptidase-4 Inhibitors: A Cohort Study in Veterans With Diabetes. Ann Intern Med 2023; 176:751-760. [PMID: 37155984 PMCID: PMC10367222 DOI: 10.7326/m22-2751] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 05/10/2023] Open
Abstract
BACKGROUND The effectiveness of glucagon-like peptide-1 receptor agonists (GLP1RA) and sodium-glucose cotransporter-2 inhibitors (SGLT2i) in preventing major adverse cardiac events (MACE) is uncertain for those without preexisting cardiovascular disease. OBJECTIVE To test the hypothesis that MACE incidence was lower with the addition of GLP1RA or SGLT2i compared with dipeptidyl peptidase-4 inhibitors (DPP4i) for primary cardiovascular prevention. DESIGN Retrospective cohort study of U.S. veterans from 2001 to 2019. SETTING Veterans aged 18 years or older receiving care from the Veterans Health Administration, with data linkage to Medicare, Medicaid, and the National Death Index. PATIENTS Veterans adding GLP1RA, SGLT2i, or DPP4i onto metformin, sulfonylurea, or insulin treatment alone or in combination. Episodes were stratified by history of cardiovascular disease. MEASUREMENTS Study outcomes were MACE (acute myocardial infarction, stroke, or cardiovascular death) and heart failure (HF) hospitalization. Cox models compared the outcome between medication groups using pairwise comparisons in a weighted cohort adjusted for covariates. RESULTS The cohort included 28 759 GLP1RA versus 28 628 DPP4i weighted pairs and 21 200 SGLT2i versus 21 170 DPP4i weighted pairs. Median age was 67 years, and diabetes duration was 8.5 years. Glucagon-like peptide-1 receptor agonists were associated with lower MACE and HF versus DPP4i (adjusted hazard ratio [aHR], 0.82 [95% CI, 0.72 to 0.94]), yielding an adjusted risk difference (aRD) of 3.2 events (CI, 1.1 to 5.0) per 1000 person-years. Sodium-glucose cotransporter-2 inhibitors were not associated with MACE and HF (aHR, 0.91 [CI, 0.78 to 1.08]; aRD, 1.28 [-1.12 to 3.32]) compared with DPP4i. LIMITATION Residual confounding; use of DPP4i, GLP1RA, and SGLT2i as first-line therapies were not examined. CONCLUSION The addition of GLP1RA was associated with primary reductions of MACE and HF hospitalization compared with DPP4i use; SGLT2i addition was not associated with primary MACE prevention. PRIMARY FUNDING SOURCE VA Clinical Science Research and Development and supported in part by the Centers for Diabetes Translation Research.
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Affiliation(s)
- Tadarro L. Richardson
- Veteran Administration Tennessee Valley VA Health Care System Geriatric Research Education Clinical Center (GRECC), Nashville, TN
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Alese E. Halvorson
- Veteran Administration Tennessee Valley VA Health Care System Geriatric Research Education Clinical Center (GRECC), Nashville, TN
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN
| | - Amber J. Hackstadt
- Veteran Administration Tennessee Valley VA Health Care System Geriatric Research Education Clinical Center (GRECC), Nashville, TN
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN
| | - Adriana M. Hung
- Veteran Administration Tennessee Valley VA Health Care System Geriatric Research Education Clinical Center (GRECC), Nashville, TN
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Robert Greevy
- Veteran Administration Tennessee Valley VA Health Care System Geriatric Research Education Clinical Center (GRECC), Nashville, TN
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN
| | - Carlos G. Grijalva
- Veteran Administration Tennessee Valley VA Health Care System Geriatric Research Education Clinical Center (GRECC), Nashville, TN
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN
| | - Tom A. Elasy
- Veteran Administration Tennessee Valley VA Health Care System Geriatric Research Education Clinical Center (GRECC), Nashville, TN
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN
| | - Christianne L. Roumie
- Veteran Administration Tennessee Valley VA Health Care System Geriatric Research Education Clinical Center (GRECC), Nashville, TN
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN
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Surie D, Bonnell LN, DeCuir J, Gaglani M, McNeal T, Ghamande S, Steingrub JS, Shapiro NI, Busse LW, Prekker ME, Peltan ID, Brown SM, Hager DN, Ali H, Gong MN, Mohamed A, Khan A, Wilson JG, Qadir N, Chang SY, Ginde AA, Huynh D, Mohr NM, Mallow C, Martin ET, Lauring AS, Johnson NJ, Casey JD, Gibbs KW, Kwon JH, Baughman A, Chappell JD, Hart KW, Grijalva CG, Rhoads JP, Swan SA, Keipp Talbot H, Womack KN, Zhu Y, Tenforde MW, Adams K, Self WH, McMorrow ML. Comparison of mRNA vaccine effectiveness against COVID-19-associated hospitalization by vaccination source: Immunization information systems, electronic medical records, and self-report-IVY Network, February 1-August 31, 2022. Vaccine 2023:S0264-410X(23)00567-4. [PMID: 37301704 DOI: 10.1016/j.vaccine.2023.05.028] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 05/09/2023] [Accepted: 05/10/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND Accurate determination of COVID-19 vaccination status is necessary to produce reliable COVID-19 vaccine effectiveness (VE) estimates. Data comparing differences in COVID-19 VE by vaccination sources (i.e., immunization information systems [IIS], electronic medical records [EMR], and self-report) are limited. We compared the number of mRNA COVID-19 vaccine doses identified by each of these sources to assess agreement as well as differences in VE estimates using vaccination data from each individual source and vaccination data adjudicated from all sources combined. METHODS Adults aged ≥18 years who were hospitalized with COVID-like illness at 21 hospitals in 18 U.S. states participating in the IVY Network during February 1-August 31, 2022, were enrolled. Numbers of COVID-19 vaccine doses identified by IIS, EMR, and self-report were compared in kappa agreement analyses. Effectiveness of mRNA COVID-19 vaccines against COVID-19-associated hospitalization was estimated using multivariable logistic regression models to compare the odds of COVID-19 vaccination between SARS-CoV-2-positive case-patients and SARS-CoV-2-negative control-patients. VE was estimated using each source of vaccination data separately and all sources combined. RESULTS A total of 4499 patients were included. Patients with ≥1 mRNA COVID-19 vaccine dose were identified most frequently by self-report (n = 3570, 79 %), followed by IIS (n = 3272, 73 %) and EMR (n = 3057, 68 %). Agreement was highest between IIS and self-report for 4 doses with a kappa of 0.77 (95 % CI = 0.73-0.81). VE point estimates of 3 doses against COVID-19 hospitalization were substantially lower when using vaccination data from EMR only (VE = 31 %, 95 % CI = 16 %-43 %) than when using all sources combined (VE = 53 %, 95 % CI = 41 %-62%). CONCLUSION Vaccination data from EMR only may substantially underestimate COVID-19 VE.
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Affiliation(s)
- Diya Surie
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States.
| | - Levi N Bonnell
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States; General Dynamics Information Technology, Falls Church, VA, United States
| | - Jennifer DeCuir
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Manjusha Gaglani
- Baylor Scott & White Health and Texas A&M University College of Medicine, Temple, TX, United States
| | - Tresa McNeal
- Baylor Scott & White Health and Texas A&M University College of Medicine, Temple, TX, United States
| | - Shekhar Ghamande
- Baylor Scott & White Health and Texas A&M University College of Medicine, Temple, TX, United States
| | - Jay S Steingrub
- Department of Medicine, Baystate Medical Center, Springfield, MA, United States
| | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Laurence W Busse
- Department of Medicine, Emory University, Atlanta, GA, United States
| | - Matthew E Prekker
- Department of Emergency Medicine and Medicine, Hennepin County Medical Center, Minneapolis, MN, United States
| | - Ithan D Peltan
- Department of Medicine, Intermountain Medical Center, Murray, UT and University of Utah, Salt Lake City, UT, United States
| | - Samuel M Brown
- Department of Medicine, Intermountain Medical Center, Murray, UT and University of Utah, Salt Lake City, UT, United States
| | - David N Hager
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Harith Ali
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Michelle N Gong
- Department of Medicine, Montefiore Health System, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Amira Mohamed
- Department of Medicine, Montefiore Health System, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Akram Khan
- Department of Medicine, Oregon Health and Sciences University, Portland, OR, United States
| | - Jennifer G Wilson
- Department of Emergency Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Nida Qadir
- Department of Medicine, University of California-Los Angeles, Los Angeles, CA, United States
| | - Steven Y Chang
- Department of Medicine, University of California-Los Angeles, Los Angeles, CA, United States
| | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, CO, United States
| | - David Huynh
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, CO, United States
| | - Nicholas M Mohr
- Department of Emergency Medicine, University of Iowa, Iowa City, IA, United States
| | | | - Emily T Martin
- School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Adam S Lauring
- Departments of Internal Medicine and Microbiology and Immunology, University of Michigan, Ann Arbor, MI, United States
| | - Nicholas J Johnson
- Department of Emergency Medicine and Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, United States
| | - Jonathan D Casey
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Kevin W Gibbs
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Jennie H Kwon
- Department of Medicine, Washington University, St. Louis, MO, United States
| | - Adrienne Baughman
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Kimberly W Hart
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Jillian P Rhoads
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Sydney A Swan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - H Keipp Talbot
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Kelsey N Womack
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Yuwei Zhu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Mark W Tenforde
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Katherine Adams
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Wesley H Self
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, United States; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Meredith L McMorrow
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, United States
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Sekmen M, Grijalva CG, Zhu Y, Williams DJ, Feinstein JA, Stassun JC, Johnson JA, Tanguturi YC, Gay JC, Antoon JW. Characteristics Associated With Serious Self-Harm Events in Children and Adolescents. Pediatrics 2023:191230. [PMID: 37125480 DOI: 10.1542/peds.2022-059817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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] [Accepted: 03/02/2023] [Indexed: 05/02/2023] Open
Abstract
OBJECTIVES To identify patterns of psychiatric comorbidity among children and adolescents with a serious self-harm event. METHODS We studied children aged 5 to 18 years hospitalized with a neuropsychiatric event at 2 children's hospitals from April 2016 to March 2020. We used Bayesian profile regression to identify distinct clinical profiles of risk for self-harm events from 32 covariates: age, sex, and 30 mental health diagnostic groups. Odds ratios (ORs) and 95% credible intervals (CIs) were calculated compared with a reference profile with the overall baseline risk of the cohort. RESULTS We included 1098 children hospitalized with a neuropsychiatric event (median age 14 years [interquartile range (IQR) 11-16]). Of these, 406 (37%) were diagnosed with a self-harm event. We identified 4 distinct profiles with varying risk for a self-harm diagnosis. The low-risk profile (median 0.035 [IQR 0.029-0.041]; OR 0.08, 95% CI 0.04-0.15) was composed primarily of children aged 5 to 9 years without a previous psychiatric diagnosis. The moderate-risk profile (median 0.30 [IQR 0.27-0.33]; reference profile) included psychiatric diagnoses without depressive disorders. Older female adolescents with a combination of anxiety, depression, substance, and trauma disorders characterized the high-risk profile (median 0.69 [IQR 0.67-0.70]; OR 5.09, 95% CI 3.11-8.38). Younger males with mood and developmental disorders represented the very high-risk profile (median 0.76 [IQR 0.73-0.79]; OR 7.21, 95% CI 3.69-15.20). CONCLUSIONS We describe 4 separate profiles of psychiatric comorbidity that can help identify children at elevated risk for a self-harm event and subsequent opportunities for intervention.
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Affiliation(s)
- Mert Sekmen
- Division of Hospital Medicine, Monroe Carell Jr. Children's Hospital at Vanderbilt
- Departments of Pediatrics
| | | | | | - Derek J Williams
- Division of Hospital Medicine, Monroe Carell Jr. Children's Hospital at Vanderbilt
- Departments of Pediatrics
| | - James A Feinstein
- Adult and Child Center for Health Outcomes Research and Delivery Science, Children's Hospital Colorado, Aurora, Colorado; and
| | - Justine C Stassun
- Division of Hospital Medicine, Monroe Carell Jr. Children's Hospital at Vanderbilt
- Departments of Pediatrics
| | - Jakobi A Johnson
- Division of Hospital Medicine, Monroe Carell Jr. Children's Hospital at Vanderbilt
- Departments of Pediatrics
| | - Yasas C Tanguturi
- Division of Child & Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
| | - James C Gay
- Division of General Pediatrics, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - James W Antoon
- Division of Hospital Medicine, Monroe Carell Jr. Children's Hospital at Vanderbilt
- Departments of Pediatrics
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Pham A, Wiese AD, Spieker AJ, Phillips SE, Adgent MA, Grijalva CG, Osmundson SS. Social Vulnerability and Initiation of Pharmacotherapy for Gestational Diabetes Mellitus in a Medicaid Population. Womens Health Issues 2023; 33:273-279. [PMID: 36681526 PMCID: PMC10213121 DOI: 10.1016/j.whi.2022.12.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 12/20/2022] [Accepted: 12/22/2022] [Indexed: 01/21/2023]
Abstract
OBJECTIVE Our study examines the association between social vulnerability index (SVI) and pharmacotherapy initiation for gestational diabetes mellitus (GDM). METHODS We studied a retrospective cohort of pregnant patients with GDM, enrolled in Tennessee Medicaid, who gave birth between 2007 and 2019. Enrollment files were linked to birth and death certificates, state hospitalization registries, and pharmacy claims. SVI, measured at the community level and determined by residential census tract, ranged from 0 to 100 (low to high vulnerability). Multivariable logistic regression assessed the association between SVI and the odds of initiating the most common pharmacotherapies for GDM-insulin, glyburide, or metformin-and adjusted for relevant covariates. SVI was modeled with restricted cubic splines to account for nonlinear associations, using the median Tennessee SVI as a reference. Secondary analysis assessed associations with the SVI subthemes. RESULTS Among 33,291 patients with GDM, 21.7% (7,209) initiated pharmacotherapy during pregnancy. Patients from areas with higher SVI were more likely to be non-Hispanic Black with higher body mass index, whereas those with lower SVI were more likely to be nulliparous. Multivariable modeling demonstrated a complex nonlinear association between SVI and GDM pharmacotherapy initiation, relative to the reference. Higher SVI was associated with elevated odds of GDM pharmacotherapy initiation (e.g., odds ratio 1.11 [95% confidence interval 1.02-1.22] for SVI 80) and low to medium SVI had variable nonsignificant associations with GDM pharmacotherapy initiation, relative to the reference (lower odds of initiation for values 25-50, higher odds of initiation for values < 25). Secondary analysis demonstrated a nonlinear association between subtheme 3 and the odds of GDM pharmacotherapy initiation. CONCLUSION Social vulnerability is associated with initiation of pharmacotherapy for GDM, highlighting the possible role of social determinants of health in achieving glycemic control.
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Affiliation(s)
- Amelie Pham
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, Tennessee.
| | - Andrew D Wiese
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Andrew J Spieker
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Sharon E Phillips
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Margaret A Adgent
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee; Mid-South Geriatric Research Education and Clinical Center, VA Tennessee Valley Health Care System, Nashville, Tennessee
| | - Sarah S Osmundson
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, Tennessee
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DeCuir J, Surie D, Zhu Y, Gaglani M, Ginde AA, Douin DJ, Talbot HK, Casey JD, Mohr NM, McNeal T, Ghamande S, Gibbs KW, Files DC, Hager DN, Phan M, Prekker ME, Gong MN, Mohamed A, Johnson NJ, Steingrub JS, Peltan ID, Brown SM, Martin ET, Monto AS, Khan A, Bender WS, Duggal A, Wilson JG, Qadir N, Chang SY, Mallow C, Kwon JH, Exline MC, Lauring AS, Shapiro NI, Columbus C, Gottlieb R, Vaughn IA, Ramesh M, Lamerato LE, Safdar B, Halasa N, Chappell JD, Grijalva CG, Baughman A, Womack KN, Rhoads JP, Hart KW, Swan SA, Lewis N, McMorrow ML, Self WH. Effectiveness of Monovalent mRNA COVID-19 Vaccination in Preventing COVID-19-Associated Invasive Mechanical Ventilation and Death Among Immunocompetent Adults During the Omicron Variant Period - IVY Network, 19 U.S. States, February 1, 2022-January 31, 2023. MMWR Morb Mortal Wkly Rep 2023; 72:463-468. [PMID: 37104244 DOI: 10.15585/mmwr.mm7217a3] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/28/2023]
Abstract
As of April 2023, the COVID-19 pandemic has resulted in 1.1 million deaths in the United States, with approximately 75% of deaths occurring among adults aged ≥65 years (1). Data on the durability of protection provided by monovalent mRNA COVID-19 vaccination against critical outcomes of COVID-19 are limited beyond the Omicron BA.1 lineage period (December 26, 2021-March 26, 2022). In this case-control analysis, the effectiveness of 2-4 monovalent mRNA COVID-19 vaccine doses was evaluated against COVID-19-associated invasive mechanical ventilation (IMV) and in-hospital death among immunocompetent adults aged ≥18 years during February 1, 2022-January 31, 2023. Vaccine effectiveness (VE) against IMV and in-hospital death was 62% among adults aged ≥18 years and 69% among those aged ≥65 years. When stratified by time since last dose, VE was 76% at 7-179 days, 54% at 180-364 days, and 56% at ≥365 days. Monovalent mRNA COVID-19 vaccination provided substantial, durable protection against IMV and in-hospital death among adults during the Omicron variant period. All adults should remain up to date with recommended COVID-19 vaccination to prevent critical COVID-19-associated outcomes.
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Price AM, Flannery B, Talbot HK, Grijalva CG, Wernli KJ, Phillips CH, Monto AS, Martin ET, Belongia EA, McLean HQ, Gaglani M, Mutnal M, Geffel KM, Nowalk MP, Tartof SY, Florea A, McLean C, Kim SS, Patel MM, Chung JR. Influenza Vaccine Effectiveness Against Influenza A(H3N2)-Related Illness in the United States During the 2021-2022 Influenza Season. Clin Infect Dis 2023; 76:1358-1363. [PMID: 36504336 PMCID: PMC10893961 DOI: 10.1093/cid/ciac941] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 11/28/2022] [Accepted: 12/08/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND In the United States, influenza activity during the 2021-2022 season was modest and sufficient enough to estimate influenza vaccine effectiveness (VE) for the first time since the beginning of the coronavirus disease 2019 pandemic. We estimated influenza VE against laboratory-confirmed outpatient acute illness caused by predominant A(H3N2) viruses. METHODS Between October 2021 and April 2022, research staff across 7 sites enrolled patients aged ≥6 months seeking outpatient care for acute respiratory illness with cough. Using a test-negative design, we assessed VE against influenza A(H3N2). Due to strong correlation between influenza and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination, participants who tested positive for SARS-CoV-2 were excluded from VE estimations. Estimates were adjusted for site, age, month of illness, race/ethnicity, and general health status. RESULTS Among 6260 participants, 468 (7%) tested positive for influenza only, including 440 (94%) for A(H3N2). All 206 sequenced A(H3N2) viruses were characterized as belonging to genetic group 3C.2a1b subclade 2a.2, which has antigenic differences from the 2021-2022 season A(H3N2) vaccine component that belongs to clade 3C.2a1b subclade 2a.1. After excluding 1948 SARS-CoV-2-positive patients, 4312 patients were included in analyses of influenza VE; 2463 (57%) were vaccinated against influenza. Effectiveness against A(H3N2) for all ages was 36% (95% confidence interval, 20%-49%) overall. CONCLUSIONS Influenza vaccination in 2021-2022 provided protection against influenza A(H3N2)-related outpatient visits among young persons.
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Affiliation(s)
- Ashley M Price
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Brendan Flannery
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - H Keipp Talbot
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Carlos G Grijalva
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Karen J Wernli
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - C Hallie Phillips
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Arnold S Monto
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Emily T Martin
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | | | | | - Manjusha Gaglani
- Department of Pediatrics, Baylor Scott & White Health, USA
- Department of Medical Education, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Manohar Mutnal
- Department of Pediatrics, Baylor Scott & White Health, USA
- Department of Medical Education, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Krissy Moehling Geffel
- Department of Family Medicine, University of Pittsburgh Schools of the Health Sciences and University of Pittsburgh Medical Center, Pittsburgh, Pannsylvania, USA
| | - Mary Patricia Nowalk
- Department of Family Medicine, University of Pittsburgh Schools of the Health Sciences and University of Pittsburgh Medical Center, Pittsburgh, Pannsylvania, USA
| | - Sara Y Tartof
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Ana Florea
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Callie McLean
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Sara S Kim
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manish M Patel
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jessie R Chung
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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Antoon JW, Grijalva CG, Carroll AR, Johnson J, Stassun J, Bonnet K, Schlundt DG, Williams DJ. Parental Perceptions of Penicillin Allergy Risk Stratification and Delabeling. Hosp Pediatr 2023; 13:300-308. [PMID: 36919441 PMCID: PMC10071421 DOI: 10.1542/hpeds.2022-006737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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] [Indexed: 03/16/2023]
Abstract
BACKGROUND Penicillin (PCN) allergy labels are widely recognized to be highly inaccurate. Little is known about parental perceptions of the PCN allergy evaluation and removal process, especially in the hospital setting. METHODS Focus groups were held with parents of children and adolescents with a PCN allergy label discharged from a large academic children's hospital between January 1, 2019, and April 15, 2020. The open-ended, semistructured moderator guide included questions about PCN allergy testing and evaluation, accuracy of the PCN allergy diagnosis, amoxicillin oral challenges, delabeling process, and preferred setting for PCN allergy delabeling evaluation (outpatient clinic, hospital, etc). Study investigators coded the transcripts and identified underlying themes using inductive and deductive thematic analysis. RESULTS A total of 21 parents and 2 adolescents participated across 4 focus groups. We developed a theoretical framework depicting key elements of parents' and adolescents' experiences with PCN allergies, consisting of 4 major interconnected themes: (1) family context; (2) the invitation to delabel; (3) decision context; and (4) the PCN delabeling outcome. PCN allergies remained a concern for families even if their children passed an oral challenge. Some parents preferred testing to be performed in the hospital and felt this was a safer location for the procedure. CONCLUSIONS Parents are amenable to hospital based PCN allergy evaluation and delabeling. Further studies should incorporate parental and patient preferences to implement safe and effective PCN allergy delabeling processes in the hospital setting.
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Affiliation(s)
- James W. Antoon
- Division of Hospital Medicine, Monroe Carell Jr. Children’s Hospital at Vanderbilt and Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Carlos G. Grijalva
- Departments of Health Policy and Bioinformatics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Alison R. Carroll
- Division of Hospital Medicine, Monroe Carell Jr. Children’s Hospital at Vanderbilt and Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Jakobi Johnson
- Division of Hospital Medicine, Monroe Carell Jr. Children’s Hospital at Vanderbilt and Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Justine Stassun
- Division of Hospital Medicine, Monroe Carell Jr. Children’s Hospital at Vanderbilt and Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Kemberlee Bonnet
- Department of Psychology, Vanderbilt University, Nashville, Tennessee
| | - David G. Schlundt
- Department of Psychology, Vanderbilt University, Nashville, Tennessee
| | - Derek J. Williams
- Division of Hospital Medicine, Monroe Carell Jr. Children’s Hospital at Vanderbilt and Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, Tennessee
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Tenforde MW, Patel MM, Lewis NM, Adams K, Gaglani M, Steingrub JS, Shapiro NI, Duggal A, Prekker ME, Peltan ID, Hager DN, Gong MN, Exline MC, Ginde AA, Mohr NM, Mallow C, Martin ET, Talbot HK, Gibbs KW, Kwon JH, Chappell JD, Halasa N, Lauring AS, Lindsell CJ, Swan SA, Hart KW, Womack KN, Baughman A, Grijalva CG, Self WH. Vaccine Effectiveness Against Influenza A(H3N2)-Associated Hospitalized Illness: United States, 2022. Clin Infect Dis 2023; 76:1030-1037. [PMID: 36327388 PMCID: PMC10226741 DOI: 10.1093/cid/ciac869] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 10/25/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND The COVID-19 pandemic was associated with historically low influenza circulation during the 2020-2021 season, followed by an increase in influenza circulation during the 2021-2022 US season. The 2a.2 subgroup of the influenza A(H3N2) 3C.2a1b subclade that predominated was antigenically different from the vaccine strain. METHODS To understand the effectiveness of the 2021-2022 vaccine against hospitalized influenza illness, a multistate sentinel surveillance network enrolled adults aged ≥18 years hospitalized with acute respiratory illness and tested for influenza by a molecular assay. Using the test-negative design, vaccine effectiveness (VE) was measured by comparing the odds of current-season influenza vaccination in influenza-positive case-patients and influenza-negative, SARS-CoV-2-negative controls, adjusting for confounders. A separate analysis was performed to illustrate bias introduced by including SARS-CoV-2-positive controls. RESULTS A total of 2334 patients, including 295 influenza cases (47% vaccinated), 1175 influenza- and SARS-CoV-2-negative controls (53% vaccinated), and 864 influenza-negative and SARS-CoV-2-positive controls (49% vaccinated), were analyzed. Influenza VE was 26% (95% CI: -14% to 52%) among adults aged 18-64 years, -3% (-54% to 31%) among adults aged ≥65 years, and 50% (15-71%) among adults aged 18-64 years without immunocompromising conditions. Estimated VE decreased with inclusion of SARS-CoV-2-positive controls. CONCLUSIONS During a season where influenza A(H3N2) was antigenically different from the vaccine virus, vaccination was associated with a reduced risk of influenza hospitalization in younger immunocompetent adults. However, vaccination did not provide protection in adults ≥65 years of age. Improvements in vaccines, antivirals, and prevention strategies are warranted.
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Affiliation(s)
- Mark W Tenforde
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manish M Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Nathaniel M Lewis
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Katherine Adams
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manjusha Gaglani
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Jay S Steingrub
- Department of Medicine, Baystate Medical Center, Springfield, Massachusetts, USA
| | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Abhijit Duggal
- Department of Medicine, Cleveland Clinic, Cleveland, Ohio, USA
| | - Matthew E Prekker
- Departments of Emergency Medicine and Medicine, Hennepin County Medical Center, Minneapolis, Minnesota, USA
| | - Ithan D Peltan
- Department of Medicine, Intermountain Medical Center, Murray, Utah and University of Utah, Salt Lake City, Utah, USA
| | - David N Hager
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michelle N Gong
- Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Matthew C Exline
- Department of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Adit A Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Nicholas M Mohr
- Department of Emergency Medicine, University of Iowa, Iowa City, Iowa, USA
| | | | - Emily T Martin
- School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - H Keipp Talbot
- Departments of Medicine and Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kevin W Gibbs
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Jennie H Kwon
- Department of Medicine, Washington University, St Louis, Missouri, USA
| | - James D Chappell
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adam S Lauring
- Departments of Internal Medicine and Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA
| | - Christopher J Lindsell
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Sydney A Swan
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kimberly W Hart
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kelsey N Womack
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adrienne Baughman
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Wesley H Self
- Vanderbilt Institute for Clinical and Translational Research and Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Rolfes MA, Talbot HK, McLean HQ, Stockwell MS, Ellingson KD, Lutrick K, Bowman NM, Bendall EE, Bullock A, Chappell JD, Deyoe JE, Gilbert J, Halasa NB, Hart KE, Johnson S, Kim A, Lauring AS, Lin JT, Lindsell CJ, McLaren SH, Meece JK, Mellis AM, Moreno Zivanovich M, Ogokeh CE, Rodriguez M, Sano E, Silverio Francisco RA, Schmitz JE, Vargas CY, Yang A, Zhu Y, Belongia EA, Reed C, Grijalva CG. Household Transmission of Influenza A Viruses in 2021-2022. JAMA 2023; 329:482-489. [PMID: 36701144 PMCID: PMC9880862 DOI: 10.1001/jama.2023.0064] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 01/27/2023]
Abstract
IMPORTANCE Influenza virus infections declined globally during the COVID-19 pandemic. Loss of natural immunity from lower rates of influenza infection and documented antigenic changes in circulating viruses may have resulted in increased susceptibility to influenza virus infection during the 2021-2022 influenza season. OBJECTIVE To compare the risk of influenza virus infection among household contacts of patients with influenza during the 2021-2022 influenza season with risk of influenza virus infection among household contacts during influenza seasons before the COVID-19 pandemic in the US. DESIGN, SETTING, AND PARTICIPANTS This prospective study of influenza transmission enrolled households in 2 states before the COVID-19 pandemic (2017-2020) and in 4 US states during the 2021-2022 influenza season. Primary cases were individuals with the earliest laboratory-confirmed influenza A(H3N2) virus infection in a household. Household contacts were people living with the primary cases who self-collected nasal swabs daily for influenza molecular testing and completed symptom diaries daily for 5 to 10 days after enrollment. EXPOSURES Household contacts living with a primary case. MAIN OUTCOMES AND MEASURES Relative risk of laboratory-confirmed influenza A(H3N2) virus infection in household contacts during the 2021-2022 season compared with prepandemic seasons. Risk estimates were adjusted for age, vaccination status, frequency of interaction with the primary case, and household density. Subgroup analyses by age, vaccination status, and frequency of interaction with the primary case were also conducted. RESULTS During the prepandemic seasons, 152 primary cases (median age, 13 years; 3.9% Black; 52.0% female) and 353 household contacts (median age, 33 years; 2.8% Black; 54.1% female) were included and during the 2021-2022 influenza season, 84 primary cases (median age, 10 years; 13.1% Black; 52.4% female) and 186 household contacts (median age, 28.5 years; 14.0% Black; 63.4% female) were included in the analysis. During the prepandemic influenza seasons, 20.1% (71/353) of household contacts were infected with influenza A(H3N2) viruses compared with 50.0% (93/186) of household contacts in 2021-2022. The adjusted relative risk of A(H3N2) virus infection in 2021-2022 was 2.31 (95% CI, 1.86-2.86) compared with prepandemic seasons. CONCLUSIONS AND RELEVANCE Among cohorts in 5 US states, there was a significantly increased risk of household transmission of influenza A(H3N2) in 2021-2022 compared with prepandemic seasons. Additional research is needed to understand reasons for this association.
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Affiliation(s)
- Melissa A. Rolfes
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | | | | | | | | | | | | | | | | | - Jessica E. Deyoe
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | | | | | - Sheroi Johnson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Ahra Kim
- Vanderbilt University Medical Center, Nashville, Tennessee
| | | | | | | | | | | | - Alexandra M. Mellis
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Constance E. Ogokeh
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Ellen Sano
- Columbia University, New York City, New York
| | | | | | | | - Amy Yang
- University of North Carolina at Chapel Hill
| | - Yuwei Zhu
- Vanderbilt University Medical Center, Nashville, Tennessee
| | | | - Carrie Reed
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
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Dantuluri KL, Bonnet KR, Schlundt DG, Schulte RJ, Griffith HG, Luu A, Charnogursky C, Perkins JM, Whitmore CC, Banerjee R, Howard LM, Grijalva CG. Antibiotic perceptions, adherence, and disposal practices among parents of pediatric patients. PLoS One 2023; 18:e0281660. [PMID: 36758043 PMCID: PMC9910628 DOI: 10.1371/journal.pone.0281660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 01/30/2023] [Indexed: 02/10/2023] Open
Abstract
Antibiotics are frequently prescribed for children in the outpatient setting. Although sometimes necessary, antibiotic use is associated with important downstream effects including the development of antimicrobial resistance among human and environmental microorganisms. Current outpatient stewardship efforts focus on guiding appropriate antibiotic prescribing practices among providers, but little is known about parents' understanding of antibiotics and appropriate disposal of leftover antibiotics. To help bridge this gap, we conducted a qualitative study to assess parental understanding of their children's antibiotics, their adherence to antibiotic instructions, and their disposal practices. We conducted a semi-structured interview with parents of 13 children diagnosed with acute respiratory illnesses and prescribed antibiotics in an urban outpatient clinic. We found that parents had limited understanding of how antibiotics work. Although they received instructions about antibiotic use during the healthcare visit, adherence to the prescription and appropriate disposal of antibiotics was suboptimal. Limited baseline understanding of antibiotics, their prior experiences with antibiotics, perceptions about their social networks' antibiotic use, and information provided to them by healthcare providers may influence these behaviors. Our findings can inform educational efforts of outpatient stewardship programs to help optimize parental understanding of how to use and dispose of their children's antibiotics.
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Affiliation(s)
- Keerti L. Dantuluri
- Division of Infectious Diseases, Department of Pediatrics, Levine Children’s Hospital at Atrium Health, Charlotte, North Carolina, United States of America
| | - Kemberlee R. Bonnet
- Department of Psychology, Vanderbilt University, Nashville, Tennessee, United States of America
| | - David G. Schlundt
- Department of Psychology, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Rebecca J. Schulte
- Department of Psychology, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Hannah G. Griffith
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Alexandria Luu
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Cara Charnogursky
- Division of Infectious Diseases, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Jessica M. Perkins
- Department of Human and Organizational Development, Peabody College, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Christine C. Whitmore
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Ritu Banerjee
- Division of Infectious Diseases, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Leigh M. Howard
- Division of Infectious Diseases, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Carlos G. Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
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Tenforde MW, Self WH, Zhu Y, Naioti EA, Gaglani M, Ginde AA, Jensen K, Talbot HK, Casey JD, Mohr NM, Zepeski A, McNeal T, Ghamande S, Gibbs KW, Files DC, Hager DN, Shehu A, Prekker ME, Erickson HL, Gong MN, Mohamed A, Johnson NJ, Srinivasan V, Steingrub JS, Peltan ID, Brown SM, Martin ET, Monto AS, Khan A, Hough CL, Busse LW, Lohuis CT, Duggal A, Wilson JG, Qadir N, Chang SY, Mallow C, Rivas C, Babcock HM, Kwon JH, Exline MC, Botros MM, Lauring AS, Shapiro NI, Halasa N, Chappell JD, Grijalva CG, Rice TW, Jones ID, Stubblefield WB, Baughman A, Womack KN, Rhoads JP, Lindsell CJ, Hart KW, Turbyfill C, Olson S, Murray N, Adams K, Patel MM. Protection of Messenger RNA Vaccines Against Hospitalized Coronavirus Disease 2019 in Adults Over the First Year Following Authorization in the United States. Clin Infect Dis 2023; 76:e460-e468. [PMID: 35580849 PMCID: PMC9129194 DOI: 10.1093/cid/ciac381] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 04/29/2022] [Accepted: 05/12/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) messenger RNA (mRNA) vaccines were authorized in the United States in December 2020. Although vaccine effectiveness (VE) against mild infection declines markedly after several months, limited understanding exists on the long-term durability of protection against COVID-19-associated hospitalization. METHODS Case-control analysis of adults (≥18 years) hospitalized at 21 hospitals in 18 states 11 March-15 December 2021, including COVID-19 case patients and reverse transcriptase-polymerase chain reaction-negative controls. We included adults who were unvaccinated or vaccinated with 2 doses of a mRNA vaccine before the date of illness onset. VE over time was assessed using logistic regression comparing odds of vaccination in cases versus controls, adjusting for confounders. Models included dichotomous time (<180 vs ≥180 days since dose 2) and continuous time modeled using restricted cubic splines. RESULTS A total of 10 078 patients were included, 4906 cases (23% vaccinated) and 5172 controls (62% vaccinated). Median age was 60 years (interquartile range, 46-70), 56% were non-Hispanic White, and 81% had ≥1 medical condition. Among immunocompetent adults, VE <180 days was 90% (95% confidence interval [CI], 88-91) versus 82% (95% CI, 79-85) at ≥180 days (P < .001). VE declined for Pfizer-BioNTech (88% to 79%, P < .001) and Moderna (93% to 87%, P < .001) products, for younger adults (18-64 years) (91% to 87%, P = .005), and for adults ≥65 years of age (87% to 78%, P < .001). In models using restricted cubic splines, similar changes were observed. CONCLUSIONS In a period largely predating Omicron variant circulation, effectiveness of 2 mRNA doses against COVID-19-associated hospitalization was largely sustained through 9 months.
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Affiliation(s)
| | - Wesley H Self
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Yuwei Zhu
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, Texas, USA.,Texas A&M University College of Medicine, Temple, Texas, USA
| | - Adit A Ginde
- University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Kelly Jensen
- University of Colorado School of Medicine, Aurora, Colorado, USA
| | - H Keipp Talbot
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | | | | | - Tresa McNeal
- Baylor Scott & White Health, Temple, Texas, USA.,Texas A&M University College of Medicine, Temple, Texas, USA
| | - Shekhar Ghamande
- Baylor Scott & White Health, Temple, Texas, USA.,Texas A&M University College of Medicine, Temple, Texas, USA
| | - Kevin W Gibbs
- Wake Forest University Baptist Medical Center, Winston-Salem, North Carolina, USA
| | - D Clark Files
- Wake Forest University Baptist Medical Center, Winston-Salem, North Carolina, USA
| | | | - Arber Shehu
- Johns Hopkins Hospital, Baltimore, Maryland, USA
| | | | | | - Michelle N Gong
- Montefiore Healthcare Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Amira Mohamed
- Montefiore Healthcare Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | | | | | | | - Ithan D Peltan
- Intermountain Medical Center and University of Utah, Salt Lake City, Utah, USA
| | - Samuel M Brown
- Intermountain Medical Center and University of Utah, Salt Lake City, Utah, USA
| | - Emily T Martin
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Arnold S Monto
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Akram Khan
- Oregon Health & Science University Hospital, Portland, Oregon, USA
| | | | | | | | | | | | - Nida Qadir
- Ronald Reagan-UCLA Medical Center, Los Angeles, California, USA
| | - Steven Y Chang
- Ronald Reagan-UCLA Medical Center, Los Angeles, California, USA
| | | | | | | | | | - Matthew C Exline
- Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Mena M Botros
- Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Adam S Lauring
- University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | - Nathan I Shapiro
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Natasha Halasa
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | | | - Todd W Rice
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ian D Jones
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | | | - Kelsey N Womack
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | | | - Kimberly W Hart
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | | | - Nancy Murray
- CDC COVID-19 Response Team, Atlanta, Georgia, USA
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Antoon JW, Hall M, Feinstein JA, Kyler KE, Shah SS, Girdwood ST, Goldman JL, Grijalva CG, Williams DJ. Guideline-Concordant Antiviral Treatment in Children at High Risk for Influenza Complications. Clin Infect Dis 2023; 76:e1040-e1046. [PMID: 35867691 PMCID: PMC10169402 DOI: 10.1093/cid/ciac606] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 07/05/2022] [Accepted: 07/19/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND National guidelines recommend antiviral treatment for children with influenza at high risk for complications regardless of symptom duration. Little is known about concordance of clinical practice with this recommendation. METHODS We performed a cross-sectional study of outpatient children (aged 1-18 years) at high risk for complications who were diagnosed with influenza during the 2016-2019 influenza seasons. High-risk status was determined using an existing definition that includes age, comorbidities, and residence in a long-term care facility. The primary outcome was influenza antiviral dispensing within 2 days of influenza diagnosis. We determined patient- and provider-level factors associated with guideline-concordant treatment using multivariable logistic regression. RESULTS Of the 274 213 children with influenza at high risk for influenza complications, 159 350 (58.1%) received antiviral treatment. Antiviral treatment was associated with the presence of asthma (aOR, 1.13; 95% confidence interval [CI], 1.11-1.16), immunosuppression (aOR, 1.10; 95% CI, 1.05-1.16), complex chronic conditions (aOR, 1.04; 95% CI, 1.01-1.07), and index encounter in the urgent care setting (aOR, 1.3; 95% CI, 1.26-1.34). Factors associated with decreased odds of antiviral treatment include age 2-5 years compared with 6-17 years (aOR, 0.95; 95% CI, .93-.97), residing in a chronic care facility (aOR, .61; 95% CI, .46-.81), and index encounter in an emergency department (aOR, 0.66; 95% CI, .63-.71). CONCLUSIONS Among children with influenza at high risk for complications, 42% did not receive guideline-concordant antiviral treatment. Further study is needed to elucidate barriers to appropriate use of antivirals in this vulnerable population.
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Affiliation(s)
- James W Antoon
- Monroe Carell Jr. Children's Hospital at Vanderbilt, Nashville, Tennessee, USA.,Division of Hospital Medicine, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Matt Hall
- Children's Hospital Association, Lenexa, Kansas, USA
| | - James A Feinstein
- Department of Pediatrics, Adult and Child Consortium for Health Outcomes Research & Delivery Science, Children's Hospital Colorado, University of Colorado, Aurora, Colorado, USA
| | - Kathryn E Kyler
- Department of Pediatrics, Division of Hospital Medicine, Children's Mercy Hospitals and Clinics, Kansas City, Missouri, USA
| | - Samir S Shah
- Divisions of Hospital Medicine and Infectious Diseases, Cincinnati Children's Hospital Medical Center & Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Sonya Tang Girdwood
- Divisions of Hospital Medicine and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center & Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Jennifer L Goldman
- Department of Pediatrics, Division of Clinical Pharmacology, Children's Mercy Hospitals and Clinics, Kansas City, Missouri, USA.,Department of Pediatrics, Division of Infectious Diseases, Children's Mercy Hospitals and Clinics, Kansas City, Missouri, USA
| | - Carlos G Grijalva
- Division of Pharmacoepidemiology, Departments of Health Policy and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Derek J Williams
- Monroe Carell Jr. Children's Hospital at Vanderbilt, Nashville, Tennessee, USA.,Division of Hospital Medicine, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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48
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Wiese AD, Grijalva CG. Burden of all-cause and organism-specific parapneumonic empyema hospitalization rates prior to the SARS-CoV-2 pandemic in the United States. Respir Med 2023; 207:107111. [PMID: 36592639 PMCID: PMC9803378 DOI: 10.1016/j.rmed.2022.107111] [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] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 12/29/2022] [Accepted: 12/30/2022] [Indexed: 01/01/2023]
Abstract
BACKGROUND AND AIMS Parapneumonic empyema, a severe pneumonia complication, decreased shortly after 13-valent pneumococcal conjugate vaccine (PCV13) introduction in US children, though the long-term impact remains poorly described. It is also unclear whether PCV13 introduction in 2010 or the 2014 US recommendation for PCV13 use in older adults was associated with declines in empyema among adults. We examined overall and organism-specific parapneumonic empyema rates among US children and adults from 2006 to 2019, prior to the SARS-CoV-2 pandemic and the updated recommendations for PCV15 and PCV20 in the US. METHODS We used the National Inpatient Sample and US Census Data to calculate national annual all-cause and pneumococcal empyema hospitalization rates by age group (2006-2019). We examined rates during the late-PCV13 era (October 2015-2019) after transition to ICD10 codes compared to rates in the late-PCV7 (2006-2009) and early-PCV13 era (2011-September 2015). We also examined the rate of empyema with thoracentesis-related procedures and according to the causative organism type. RESULTS Compared to the late-PCV7 era, all-cause empyema hospitalization rates were lower among child age groups (<1, 1, 2-4 and 5-17 years) in the late-PCV13 era. In contrast, among most adult age groups (18-34, 50-64, 65+ years), all-cause empyema rates were higher in the late-PCV13 era compared to the late-PCV7 era. CONCLUSION Early declines in all-cause empyema-related hospitalizations observed right after PCV13 introduction among children in 2010 were sustained through 2019, though rates did not decline among adults.
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Affiliation(s)
- Andrew D Wiese
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, USA.
| | - Carlos G Grijalva
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, USA; VA TN Valley Health Care System, Nashville, USA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, USA
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Thomas CM, White EB, Kojima N, Fill MMA, Hanna S, Jones TF, Newhouse CN, Orejuela K, Roth E, Winders S, Chandler DR, Grijalva CG, Schaffner W, Schmitz JE, DaSilva J, Kirby MK, Mellis AM, Rolfes MA, Sumner KM, Flannery B, Talbot HK, Dunn JR. Early and Increased Influenza Activity Among Children - Tennessee, 2022-23 Influenza Season. MMWR Morb Mortal Wkly Rep 2023; 72:49-54. [PMID: 36656786 PMCID: PMC9869745 DOI: 10.15585/mmwr.mm7203a1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Influenza seasons typically begin in October and peak between December and February (1); however, the 2022-23 influenza season in Tennessee began in late September and was characterized by high pediatric hospitalization rates during November. This report describes a field investigation conducted in Tennessee during November 2022, following reports of increasing influenza hospitalizations. Data from surveillance networks, patient surveys, and whole genome sequencing of influenza virus specimens were analyzed to assess influenza activity and secondary illness risk. Influenza activity increased earlier than usual among all age groups, and rates of influenza-associated hospitalization among children were high in November, reaching 12.6 per 100,000 in children aged <5 years, comparable to peak levels typically seen in high-severity seasons. Circulating influenza viruses were genetically similar to vaccine components. Among persons who received testing for influenza at outpatient clinics, children were twice as likely to receive a positive influenza test result as were adults. Among household contacts exposed to someone with influenza, children were more than twice as likely to become ill compared with adults. As the influenza season continues, it is important for all persons, especially those at higher risk for severe disease, to protect themselves from influenza. To prevent influenza and severe influenza complications, all persons aged ≥6 months should get vaccinated, avoid contact with ill persons, and take influenza antivirals if recommended and prescribed.
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50
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Hung AM, Hackstadt AJ, Griffin MR, Grijalva CG, Greevy RA, Roumie CL. Comparative effectiveness of metformin versus sulfonylureas on kidney function decline or death among patients with reduced kidney function: a retrospective cohort study. CMAJ Open 2023; 11:E77-E89. [PMID: 36720491 PMCID: PMC9894655 DOI: 10.9778/cmajo.20210207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Diabetes often causes kidney disease. In this study, we sought to evaluate if metformin use was associated with death or kidney events in patients with diabetes and concurrent reduced kidney function. METHODS We used data from the Veterans Health Administration, Medicare and National Death Index databases to assemble a national retrospective cohort of veterans who were using metformin or sulfonylureas from 2001 through 2016 and who began follow-up at an estimated glomerular filtration rate (eGFR) of less than 60 mL/min/1.73 m2. The primary composite outcome was a kidney event (i.e., 40% decline in eGFR or end-stage renal disease) or death. The secondary outcome was a kidney event (eGFR decline or end-stage renal disease). We weighted the cohort using propensity scores and used Cox proportional models to estimate the cause-specific hazard of outcomes and of treatment nonpersistence as a competing risk. We stratified follow-up into 2 periods, namely the first 360 days from the start of follow-up, and 361 days and beyond. RESULTS In the first 360 days, the propensity score-weighted cohort included 24 883 patients who used metformin and 24 998 who used sulfonylureas. There were 33.5 (95% confidence interval [CI] 30.9-36.3) and 43.0 (95% CI 40.1-46.0) deaths or kidney events per 1000 person-years for patients who used metformin or sulfonylureas, respectively (hazard ratio [HR] 0.78, 95% CI 0.71-0.85). For the secondary outcome of kidney events, the HR was 0.94 (95% CI 0.67-1.33). In the second period from 361 days onward, the primary outcome event rate was 26.5 (95% CI 24.7-28.5) per 1000 person-years for those who used metformin, compared with 36.3 (95% CI 34.2-38.6) per 1000 person-years for those who used sulfonylureas (HR 0.73, 95% CI 0.67-0.79). Results were consistent for kidney events alone (HR 0.73, 95% CI 0.59-0.91). INTERPRETATION Metformin use for 361 days or longer after reaching an eGFR of less than 60 mL/min/1.73 m2 was associated with decreased likelihood of kidney events or death in patients with diabetes, compared with use of sulfonylureas. Metformin provided end-organ protection, in addition to glucose control.
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Affiliation(s)
- Adriana M Hung
- Department of Medicine, Division of Nephrology and Hypertension (Hung), Vanderbilt University Medical Center; Precision Nephrology Program (Hung), Vanderbilt University Medical Center; Geriatric Research Education Clinical Center (Hung, Hackstadt, Grijalva, Greevy Jr., Roumie), Veteran Administration Tennessee Valley Healthcare System; Department of Medicine (Roumie), Vanderbilt University Medical Center; Department of Biostatistics (Hackstadt, Greevy Jr.), Vanderbilt University School of Medicine; Department of Health Policy (Griffin, Grijalva, Roumie), Vanderbilt University Medical Center, Nashville, Tenn.
| | - Amber J Hackstadt
- Department of Medicine, Division of Nephrology and Hypertension (Hung), Vanderbilt University Medical Center; Precision Nephrology Program (Hung), Vanderbilt University Medical Center; Geriatric Research Education Clinical Center (Hung, Hackstadt, Grijalva, Greevy Jr., Roumie), Veteran Administration Tennessee Valley Healthcare System; Department of Medicine (Roumie), Vanderbilt University Medical Center; Department of Biostatistics (Hackstadt, Greevy Jr.), Vanderbilt University School of Medicine; Department of Health Policy (Griffin, Grijalva, Roumie), Vanderbilt University Medical Center, Nashville, Tenn
| | - Marie R Griffin
- Department of Medicine, Division of Nephrology and Hypertension (Hung), Vanderbilt University Medical Center; Precision Nephrology Program (Hung), Vanderbilt University Medical Center; Geriatric Research Education Clinical Center (Hung, Hackstadt, Grijalva, Greevy Jr., Roumie), Veteran Administration Tennessee Valley Healthcare System; Department of Medicine (Roumie), Vanderbilt University Medical Center; Department of Biostatistics (Hackstadt, Greevy Jr.), Vanderbilt University School of Medicine; Department of Health Policy (Griffin, Grijalva, Roumie), Vanderbilt University Medical Center, Nashville, Tenn
| | - Carlos G Grijalva
- Department of Medicine, Division of Nephrology and Hypertension (Hung), Vanderbilt University Medical Center; Precision Nephrology Program (Hung), Vanderbilt University Medical Center; Geriatric Research Education Clinical Center (Hung, Hackstadt, Grijalva, Greevy Jr., Roumie), Veteran Administration Tennessee Valley Healthcare System; Department of Medicine (Roumie), Vanderbilt University Medical Center; Department of Biostatistics (Hackstadt, Greevy Jr.), Vanderbilt University School of Medicine; Department of Health Policy (Griffin, Grijalva, Roumie), Vanderbilt University Medical Center, Nashville, Tenn
| | - Robert A Greevy
- Department of Medicine, Division of Nephrology and Hypertension (Hung), Vanderbilt University Medical Center; Precision Nephrology Program (Hung), Vanderbilt University Medical Center; Geriatric Research Education Clinical Center (Hung, Hackstadt, Grijalva, Greevy Jr., Roumie), Veteran Administration Tennessee Valley Healthcare System; Department of Medicine (Roumie), Vanderbilt University Medical Center; Department of Biostatistics (Hackstadt, Greevy Jr.), Vanderbilt University School of Medicine; Department of Health Policy (Griffin, Grijalva, Roumie), Vanderbilt University Medical Center, Nashville, Tenn
| | - Christianne L Roumie
- Department of Medicine, Division of Nephrology and Hypertension (Hung), Vanderbilt University Medical Center; Precision Nephrology Program (Hung), Vanderbilt University Medical Center; Geriatric Research Education Clinical Center (Hung, Hackstadt, Grijalva, Greevy Jr., Roumie), Veteran Administration Tennessee Valley Healthcare System; Department of Medicine (Roumie), Vanderbilt University Medical Center; Department of Biostatistics (Hackstadt, Greevy Jr.), Vanderbilt University School of Medicine; Department of Health Policy (Griffin, Grijalva, Roumie), Vanderbilt University Medical Center, Nashville, Tenn
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