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Clinical and economic evaluation of a proteomic biomarker preterm birth risk predictor: cost-effectiveness modeling of prenatal interventions applied to predicted higher-risk pregnancies within a large and diverse cohort.
Burchard, Julja; Markenson, Glenn R; Saade, George R; Laurent, Louise C; Heyborne, Kent D; Coonrod, Dean V; Schoen, Corina N; Baxter, Jason K; Haas, David M; Longo, Sherri A; Sullivan, Scott A; Wheeler, Sarahn M; Pereira, Leonardo M; Boggess, Kim A; Hawk, Angela F; Crockett, Amy H; Treacy, Ryan; Fox, Angela C; Polpitiya, Ashoka D; Fleischer, Tracey C; Garite, Thomas J; Jay Boniface, J; Zupancic, John A F; Critchfield, Gregory C; Kearney, Paul E.
Afiliação
  • Burchard J; Sera Prognostics, Inc, Salt Lake City, UT, USA.
  • Markenson GR; Department of Obstetrics and Gynecology, Boston University School of Medicine, Boston, MA, USA.
  • Saade GR; Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, TX, USA.
  • Laurent LC; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Diego, CA, USA.
  • Heyborne KD; Department of Obstetrics and Gynecology, Denver Health and Hospital Authority, Denver, CO, and Department of Obstetrics and Gynecology, University of Colorado Denver, Aurora, CO, USA.
  • Coonrod DV; Department of Obstetrics and Gynecology, Valleywise Health, and Department of Obstetrics and Gynecology, University of Arizona College of Medicine, Phoenix, AZ, USA.
  • Schoen CN; Department of Obstetrics and Gynecology, University of Massachusetts-Baystate, Springfield, MA, USA.
  • Baxter JK; Department of Obstetrics and Gynecology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
  • Haas DM; Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, IN, USA.
  • Longo SA; Department of Obstetrics and Gynecology, Ochsner Health, New Orleans, LA, USA.
  • Sullivan SA; Department of Obstetrics and Gynecology, Medical University of South Carolina, Charleston, SC, USA.
  • Wheeler SM; Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, USA.
  • Pereira LM; Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland, OR, USA.
  • Boggess KA; Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
  • Hawk AF; Regional Obstetrical Consultants, Chattanooga, TN, USA.
  • Crockett AH; Department of Obstetrics and Gynecology, University of South Carolina School of Medicine Greenville and Prisma Health-Upstate, Greenville, SC, USA.
  • Treacy R; Sera Prognostics, Inc, Salt Lake City, UT, USA.
  • Fox AC; Sera Prognostics, Inc, Salt Lake City, UT, USA.
  • Polpitiya AD; Sera Prognostics, Inc, Salt Lake City, UT, USA.
  • Fleischer TC; Sera Prognostics, Inc, Salt Lake City, UT, USA.
  • Garite TJ; Sera Prognostics, Inc, Salt Lake City, UT, USA.
  • Jay Boniface J; Sera Prognostics, Inc, Salt Lake City, UT, USA.
  • Zupancic JAF; Department of Pediatrics, Harvard Medical School, and Department of Neonatology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Critchfield GC; Sera Prognostics, Inc, Salt Lake City, UT, USA.
  • Kearney PE; Sera Prognostics, Inc, Salt Lake City, UT, USA.
J Med Econ ; 25(1): 1255-1266, 2022.
Article em En | MEDLINE | ID: mdl-36377363
Preterm birth, defined as delivery before 37 weeks' gestation, is the leading cause of illness and death in newborns. In the United States, more than 10% of infants are born prematurely, and this rate is substantially higher in lower-income, inner-city and Black populations. Prematurity associates with greatly increased risk of short- and long-term medical complications and can generate significant costs throughout the lives of affected children. Annual U.S. health care costs to manage short- and long-term prematurity complications are estimated to exceed $25 billion.Clinical interventions, including case management (increased patient outreach, education and specialist care), pharmacological treatment and their combination can provide benefit to pregnancies at higher risk for preterm birth. Early and sensitive risk detection, however, remains a challenge.We have developed and validated a proteomic biomarker risk predictor for early identification of pregnancies at increased risk of preterm birth. The ACCORDANT study modeled treatments with real-world patient data from a racially and ethnically diverse U.S. population to compare the benefits of risk predictor testing plus clinical intervention for higher-risk pregnancies versus no testing and standard care. Measured outcomes included neonatal and maternal length of hospital stay, associated costs and neonatal morbidity and mortality. The model projected improved outcomes and reduced costs across all subjects, including ethnic and racial minority populations, when predicted higher-risk pregnancies were treated using case management with or without pharmacological treatment. The biomarker risk predictor shows high potential to be a clinically important component of risk stratification for pregnant women, leading to tangible gains in reducing the impact of preterm birth.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Nascimento Prematuro Tipo de estudo: Clinical_trials / Etiology_studies / Health_economic_evaluation / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Newborn / Pregnancy Idioma: En Revista: J Med Econ Assunto da revista: SERVICOS DE SAUDE Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Nascimento Prematuro Tipo de estudo: Clinical_trials / Etiology_studies / Health_economic_evaluation / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Newborn / Pregnancy Idioma: En Revista: J Med Econ Assunto da revista: SERVICOS DE SAUDE Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos