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Miller RL, Schuh H, Chandran A, Aris IM, Bendixsen C, Blossom J, Breton C, Camargo CA, Canino G, Carroll KN, Commodore S, Cordero JF, Dabelea DM, Ferrara A, Fry RC, Ganiban JM, Gern JE, Gilliland FD, Gold DR, Habre R, Hare ME, Harte RN, Hartert T, Hasegawa K, Khurana Hershey GK, Jackson DJ, Joseph C, Kerver JM, Kim H, Litonjua AA, Marsit CJ, McEvoy C, Mendonça EA, Moore PE, Nkoy FL, O'Connor TG, Oken E, Ownby D, Perzanowski M, Rivera-Spoljaric K, Ryan PH, Singh AM, Stanford JB, Wright RJ, Wright RO, Zanobetti A, Zoratti E, Johnson CC. Incidence rates of childhood asthma with recurrent exacerbations in the US Environmental influences on Child Health Outcomes (ECHO) program. J Allergy Clin Immunol 2023; 152:84-93. [PMID: 36972767 PMCID: PMC10330473 DOI: 10.1016/j.jaci.2023.03.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 03/14/2023] [Accepted: 03/17/2023] [Indexed: 03/29/2023]
Abstract
BACKGROUND Descriptive epidemiological data on incidence rates (IRs) of asthma with recurrent exacerbations (ARE) are sparse. OBJECTIVES This study hypothesized that IRs for ARE would vary by time, geography, age, and race and ethnicity, irrespective of parental asthma history. METHODS The investigators leveraged data from 17,246 children born after 1990 enrolled in 59 US with 1 Puerto Rican cohort in the Environmental Influences on Child Health Outcomes (ECHO) consortium to estimate IRs for ARE. RESULTS The overall crude IR for ARE was 6.07 per 1000 person-years (95% CI: 5.63-6.51) and was highest for children aged 2-4 years, for Hispanic Black and non-Hispanic Black children, and for those with a parental history of asthma. ARE IRs were higher for 2- to 4-year-olds in each race and ethnicity category and for both sexes. Multivariable analysis confirmed higher adjusted ARE IRs (aIRRs) for children born 2000-2009 compared with those born 1990-1999 and 2010-2017, 2-4 versus 10-19 years old (aIRR = 15.36; 95% CI: 12.09-19.52), and for males versus females (aIRR = 1.34; 95% CI 1.16-1.55). Black children (non-Hispanic and Hispanic) had higher rates than non-Hispanic White children (aIRR = 2.51; 95% CI 2.10-2.99; and aIRR = 2.04; 95% CI: 1.22-3.39, respectively). Children born in the Midwest, Northeast and South had higher rates than those born in the West (P < .01 for each comparison). Children with a parental history of asthma had rates nearly 3 times higher than those without such history (aIRR = 2.90; 95% CI: 2.43-3.46). CONCLUSIONS Factors associated with time, geography, age, race and ethnicity, sex, and parental history appear to influence the inception of ARE among children and adolescents.
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Affiliation(s)
| | - Holly Schuh
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md
| | - Aruna Chandran
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md
| | - Izzuddin M Aris
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Inc, Boston, Mass
| | | | - Jeffrey Blossom
- Harvard University Center for Geographic Analysis, Cambridge, Mass
| | - Carrie Breton
- Keck School of Medicine of University of Southern California, Los Angeles, Calif
| | - Carlos A Camargo
- Department of Epidemiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass; Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Mass
| | - Glorisa Canino
- University of Puerto Rico Behavioral Sciences Research Institute, San Juan, Puerto Rico
| | | | | | - José F Cordero
- University of Georgia College of Public Health, Athens, Ga
| | - Dana M Dabelea
- University of Colorado Anschutz Medical Campus, Aurora, Colo
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, Calif
| | - Rebecca C Fry
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | - James E Gern
- University of Wisconsin School of Medicine and Public Heath, Madison, Wis
| | - Frank D Gilliland
- Keck School of Medicine of University of Southern California, Los Angeles, Calif
| | - Diane R Gold
- Brigham and Women's Hospital, Harvard Medical School, Boston, Mass; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Mass
| | - Rima Habre
- Keck School of Medicine of University of Southern California, Los Angeles, Calif
| | - Marion E Hare
- University of Tennessee Health Science Center, Memphis, Tenn
| | | | - Tina Hartert
- Vanderbilt University School of Medicine, Nashville, Tenn
| | - Kohei Hasegawa
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Mass
| | - Gurjit K Khurana Hershey
- University of Cincinnati, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Daniel J Jackson
- University of Wisconsin School of Medicine and Public Heath, Madison, Wis
| | | | - Jean M Kerver
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, Mich
| | | | - Augusto A Litonjua
- Division of Pediatric Pulmonary Medicine, Department of Pediatrics, Golisano Children's Hospital, University of Rochester Medical Center, Rochester, NY
| | - Carmen J Marsit
- Rollins School of Public Health, Emory University, Atlanta, Ga
| | - Cindy McEvoy
- Oregon Health and Science University, Portland, Ore
| | - Eneida A Mendonça
- University of Cincinnati, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Paul E Moore
- Vanderbilt University School of Medicine, Nashville, Tenn
| | | | - Thomas G O'Connor
- School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, NY
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Inc, Boston, Mass
| | | | | | | | - Patrick H Ryan
- University of Cincinnati, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Anne Marie Singh
- University of Wisconsin School of Medicine and Public Heath, Madison, Wis
| | | | | | | | - Antonella Zanobetti
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Mass
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McCormick DW, Richardson LC, Young PR, Viens LJ, Gould CV, Kimball A, Pindyck T, Rosenblum HG, Siegel DA, Vu QM, Komatsu K, Venkat H, Openshaw JJ, Kawasaki B, Siniscalchi AJ, Gumke M, Leapley A, Tobin-D’Angelo M, Kauerauf J, Reid H, White K, Ahmed FS, Richardson G, Hand J, Kirkey K, Larson L, Byers P, Garcia A, Ojo M, Zamcheck A, Lash MK, Lee EH, Reilly KH, Wilson E, de Fijter S, Naqvi OH, Harduar-Morano L, Burch AK, Lewis A, Kolsin J, Pont SJ, Barbeau B, Bixler D, Reagan-Steiner S, Koumans EH. Deaths in Children and Adolescents Associated With COVID-19 and MIS-C in the United States. Pediatrics 2021; 148:peds.2021-052273. [PMID: 34385349 PMCID: PMC9837742 DOI: 10.1542/peds.2021-052273] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/28/2021] [Indexed: 01/17/2023] Open
Abstract
OBJECTIVES To describe the demographics, clinical characteristics, and hospital course among persons <21 years of age with a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-associated death. METHODS We conducted a retrospective case series of suspected SARS-CoV-2-associated deaths in the United States in persons <21 years of age during February 12 to July 31, 2020. All states and territories were invited to participate. We abstracted demographic and clinical data, including laboratory and treatment details, from medical records. RESULTS We included 112 SARS-CoV-2-associated deaths from 25 participating jurisdictions. The median age was 17 years (IQR 8.5-19 years). Most decedents were male (71, 63%), 31 (28%) were Black (non-Hispanic) persons, and 52 (46%) were Hispanic persons. Ninety-six decedents (86%) had at least 1 underlying condition; obesity (42%), asthma (29%), and developmental disorders (22%) were most commonly documented. Among 69 hospitalized decedents, common complications included mechanical ventilation (75%) and acute respiratory failure (82%). The sixteen (14%) decedents who met multisystem inflammatory syndrome in children (MIS-C) criteria were similar in age, sex, and race and/or ethnicity to decedents without MIS-C; 11 of 16 (69%) had at least 1 underlying condition. CONCLUSIONS SARS-CoV-2-associated deaths among persons <21 years of age occurred predominantly among Black (non-Hispanic) and Hispanic persons, male patients, and older adolescents. The most commonly reported underlying conditions were obesity, asthma, and developmental disorders. Decedents with coronavirus disease 2019 were more likely than those with MIS-C to have underlying medical conditions.
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Affiliation(s)
| | | | | | | | | | - Anne Kimball
- CDC COVID-19 Response Team,Epidemic Intelligence Service, CDC
| | | | | | | | | | | | - Heather Venkat
- Arizona Department of Health Services,CDC Career Epidemiology Field Officer Program
| | | | | | | | | | | | | | | | | | | | | | | | | | - Kim Kirkey
- Michigan Department of Health and Human Services
| | | | | | - Ali Garcia
- Nevada Department of Health and Human Services
| | | | | | - Maura K. Lash
- New York City Department of Health and Mental Hygiene
| | - Ellen H. Lee
- New York City Department of Health and Mental Hygiene
| | | | - Erica Wilson
- North Carolina Department of Health and Human Services
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Johnson CC, Chandran A, Havstad S, Li X, McEvoy CT, Ownby DR, Litonjua AA, Karagas MR, Camargo CA, Gern JE, Gilliland F, Togias A. US Childhood Asthma Incidence Rate Patterns From the ECHO Consortium to Identify High-risk Groups for Primary Prevention. JAMA Pediatr 2021; 175:919-927. [PMID: 33999100 PMCID: PMC8129904 DOI: 10.1001/jamapediatrics.2021.0667] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 02/19/2021] [Indexed: 12/17/2022]
Abstract
Importance Asthma is the leading chronic illness in US children, but most descriptive epidemiological data are focused on prevalence. Objective To evaluate childhood asthma incidence rates across the nation by core demographic strata and parental history of asthma. Design, Setting, and Participants For this cohort study, a distributed meta-analysis was conducted within the Environmental Influences on Child Health Outcomes (ECHO) consortium for data collected from May 1, 1980, through March 31, 2018. Birth cohort data of children from 34 gestational weeks of age or older to 18 years of age from 31 cohorts in the ECHO consortium were included. Data were analyzed from June 14, 2018, to February 18, 2020. Exposures Caregiver report of physician-diagnosed asthma with age of diagnosis. Main Outcome and Measures Asthma incidence survival tables generated by each cohort were combined for each year of age using the Kaplan-Meier method. Age-specific incidence rates for each stratum and asthma incidence rate ratios by parental family history (FH), sex, and race/ethnicity were calculated. Results Of the 11 404 children (mean [SD] age, 10.0 [0.7] years; 5836 boys [51%]; 5909 White children [53%]) included in the primary analysis, 7326 children (64%) had no FH of asthma, 4078 (36%) had an FH of asthma, and 2494 (23%) were non-Hispanic Black children. Children with an FH had a nearly 2-fold higher incidence rate through the fourth year of life (incidence rate ratio [IRR], 1.94; 95% CI, 1.76-2.16) after which the rates converged with the non-FH group. Regardless of FH, asthma incidence rates among non-Hispanic Black children were markedly higher than those of non-Hispanic White children during the preschool years (IRR, 1.58; 95% CI, 1.31-1.86) with no FH at age 4 years and became lower than that of White children after age 9 to 10 years (IRR, 0.67; 95% CI, 0.50-0.89) with no FH. The rates for boys declined with age, whereas rates among girls were relatively steady across all ages, particularly among those without an FH of asthma. Conclusions and Relevance Analysis of these diverse birth cohorts suggests that asthma FH, as well as race/ethnicity and sex, were all associated with childhood asthma incidence rates. Black children had much higher incidences rates but only during the preschool years, irrespective of FH. To prevent asthma among children with an FH of asthma or among Black infants, results suggest that interventions should be developed to target early life.
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Affiliation(s)
| | - Aruna Chandran
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Suzanne Havstad
- Department of Public Health Sciences, Henry Ford Health System, Detroit, Michigan
| | - Xiuhong Li
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Cynthia T. McEvoy
- Department of Pediatrics, Oregon Health & Science University, Portland
| | - Dennis R. Ownby
- Department of Public Health Sciences, Henry Ford Health System, Detroit, Michigan
| | - Augusto A. Litonjua
- Division of Pediatric Pulmonary Medicine, Department of Pediatrics, University of Rochester Medical Center, Rochester, New York
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire
| | - Carlos A. Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
| | - James E. Gern
- Department of Pediatrics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison
| | - Frank Gilliland
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles
| | - Alkis Togias
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
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Hernández-Muñoz JJ, Kamdar CR, Zhong L, Alonzo J, Sprenger L. Impact of a pharmaceutical care incentive program on the asthma medication ratio among pediatric patients with persistent asthma enrolled in a Medicaid program. J Manag Care Spec Pharm 2021; 27:714-723. [PMID: 34057388 PMCID: PMC10391139 DOI: 10.18553/jmcp.2021.27.6.714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND: Asthma is one of the leading chronic disease states in pediatric patients in Texas. Pharmacy-led interventions such as targeted asthma education, scheduled consultations, and monitoring have shown success in improving asthma outcomes. However, no studies have evaluated the impact of the pharmaceutical care incentive (PCI) programs on Texas Medicaid pediatric beneficiaries. OBJECTIVES: To (1) describe the prevalence of asthma medication utilization and persistent asthma among Medicaid pediatric patients in Texas Health Service Region 11 (HSR 11) and (2) describe the prevalence and impact of PCI program interventions offered by pharmacists to Medicaid pediatric patients or their caregivers at the point-of-service in their medication utilization and asthma medication ratio (AMR). METHODS: This study used a 2-year longitudinal assessment of Medicaid pharmacy claims for beneficiaries aged between 0 and 18 years, with continuous enrollment, and at least 1 asthma medication claim during 2018 and 2019. The prevalence of asthma medication utilization during the study period was described. Also, the prevalence of PCI interventions among beneficiaries with at least 1 asthma medication was described. The prevalence of PCI interventions was also estimated for beneficiaries with persistent asthma. The AMR for beneficiaries with persistent asthma was calculated and compared for those with and without at least 1 PCI intervention. RESULTS: 22,051 beneficiaries with continuous enrollment between the ages of 0 and 18 years and with at least 1 pharmacy claim for an asthma medication during the study period were included. The overall prevalence of asthma medication utilization was 14.55%. 374 (1.70%) beneficiaries with at least 1 asthma medication received at least 1 asthma PCI intervention. Among beneficiaries that received at least 1 asthma PCI intervention, 158 (42.25%) were on rescue medication only; 4 (1.07%) were on maintenance medication only; and 212 (56.68%) were on rescue and maintenance medications. The overall prevalence of persistent asthma was 4.86%. 52 (0.76%) persistent asthma cases received at least 1 asthma PCI intervention after the index date. The overall unadjusted mean AMR (SD) for the 6,885 beneficiaries with persistent asthma was 0.50 (0.19). The adjusted AMR (SD) among beneficiaries with persistent asthma was reported at 0.530 (0.026) for beneficiaries who received at least 1 PCI intervention and 0.483 (0.002) for beneficiaries who did not receive a PCI intervention (P = 0.066). Beneficiaries with persistent asthma generated 64.35% of the total asthma pharmacy claims during 2019. CONCLUSIONS: Despite a high utilization of asthma medications among Medicaid pediatric beneficiaries, pharmacists servicing this group are underusing the PCI program interventions. An increase in the AMR among patients with persistent asthma receiving PCI interventions was observed when compared with those without PCI interventions. However, the difference was not statistically significant. Subsequent studies should include larger groups of beneficiaries receiving PCI interventions to establish the effect of PCI interventions on AMR before widespread implementation. DISCLOSURES: This research project was supported by the Global Institute for Hispanic Health (GIHH) through research grant M1803961. The authors have nothing to disclose. A part of this study was presented as a poster at the AMCP 2020 Virtual Annual Meeting and Exposition Meeting, April 21-24, 2020.
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Affiliation(s)
- José J Hernández-Muñoz
- Pharmaceutical Sciences Department, Irma L. Rangel College of Pharmacy, Texas A&M University, College Station
| | - Chandni R Kamdar
- Pharmaceutical Sciences Department and Pharmacy Practice Department, Irma L. Rangel College of Pharmacy, Texas A&M University, College Station
| | - Lixian Zhong
- Pharmaceutical Sciences Department, Irma L. Rangel College of Pharmacy, Texas A&M University, College Station
| | - Joy Alonzo
- Pharmacy Practice Department, Irma L. Rangel College of Pharmacy, Texas A&M University, College Station
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Yildirim M, Serban N, Shih J, Keskinocak P. Reflecting on prediction strategies for epidemics: Preparedness and public health response. Ann Allergy Asthma Immunol 2020; 126:338-349. [PMID: 33307158 PMCID: PMC7836303 DOI: 10.1016/j.anai.2020.11.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 11/18/2020] [Accepted: 11/24/2020] [Indexed: 02/07/2023]
Abstract
Objective To provide an overview of the literature on respiratory infectious disease epidemic prediction, preparedness, and response (including pharmaceutical and nonpharmaceutical interventions) and their impact on public health, with a focus on respiratory conditions such as asthma. Data Sources Published literature obtained through PubMed database searches. Study Selections Studies relevant to infectious epidemics, asthma, modeling approaches, health care access, and data analytics related to intervention strategies. Results Prediction, prevention, and response strategies for infectious disease epidemics use extensive data sources and analytics, addressing many areas including testing and early diagnosis, identifying populations at risk of severe outcomes such as hospitalizations or deaths, monitoring and understanding transmission and spread patterns by age group, social interactions geographically and over time, evaluating the effectiveness of pharmaceutical and nonpharmaceutical interventions, and understanding prioritization of and access to treatment or preventive measures (eg, vaccination, masks), given limited resources and system constraints. Conclusion Previous epidemics and pandemics have revealed the importance of effective preparedness and response. Further research and implementation need to be performed to emphasize timely and actionable strategies, including for populations with particular health conditions (eg, chronic respiratory diseases) at risk for severe outcomes.
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Affiliation(s)
- Melike Yildirim
- H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia; Center for Health and Humanitarian Systems, Georgia Institute of Technology, Atlanta, Georgia
| | - Nicoleta Serban
- H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia.
| | - Jennifer Shih
- Department of Pediatrics, Emory University School of Medcine, Atlanta, Georgia; Department of Medicine, Emory University School of Medcine, Atlanta, Georgia
| | - Pinar Keskinocak
- H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia; Center for Health and Humanitarian Systems, Georgia Institute of Technology, Atlanta, Georgia; Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
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