A Multicenter Assessment of a Spontaneous Preterm Birth Risk Predictor (TREETOP)
Study Overview
Status
Status
Conditions
Conditions
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
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Arizona
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Phoenix, Arizona, United States, 85250
- Maricopa Integrated Health Systems
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California
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Orange, California, United States, 92868
- University of California, Irvine Medical Center
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San Diego, California, United States, 92103
- UC San Diego Health
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Colorado
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Aurora, Colorado, United States, 80045
- University of Colorado-Denver
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Denver, Colorado, United States, 80204
- Denver Health Medical Center
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Illinois
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Chicago, Illinois, United States, 60611
- Northwestern Memorial Hospital
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Indiana
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Indianapolis, Indiana, United States, 46202
- Indiana University Medical Center
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Louisiana
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New Orleans, Louisiana, United States, 70115
- Ochsner Baptist Medical Center
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Massachusetts
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Boston, Massachusetts, United States, 02118
- Boston Medical Center
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Springfield, Massachusetts, United States, 01199
- Baystate Medical Center
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North Carolina
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Chapel Hill, North Carolina, United States, 27599
- University of North Carolina
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Durham, North Carolina, United States, 27705
- Duke University Medical Center
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Oregon
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Portland, Oregon, United States, 97239
- Oregon Health & Sciences University
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Pennsylvania
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Philadelphia, Pennsylvania, United States, 19107
- Thomas Jefferson University Hospital
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South Carolina
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Charleston, South Carolina, United States, 29485
- Medical University of South Carolina
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Greenville, South Carolina, United States, 29605
- Greenville Health System
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Tennessee
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Chattanooga, Tennessee, United States, 37405
- Regional Obstetrical Consultants
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Texas
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Galveston, Texas, United States, 77555
- University of Texas Medical Branch
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Subject is 18 years of age or older
- Subject has singleton gestation
- Subject is able to provide consent
- Gestational age is confirmed by a documented crown rump length on an ultrasound performed at the study site within 6 0/7 weeks and 13 6/7 weeks gestation (first trimester)
- Subject has no signs and/or symptoms of preterm labor and has intact membranes
- Investigator believes subject is willing to comply with study visits and procedures
- Investigator believes the subject's delivery data will be available within 15 business days from delivery, and neonatal data will be available for data collection purposes within 15 business days from discharge
Exclusion Criteria:
- The subject has a planned cesarean section or induction of labor prior to 370/7 weeks of gestation
- The subject has a planned cerclage placement for the current pregnancy
- There is a known or suspected fetal anomaly or chromosomal abnormality
- The subject has had a blood transfusion during the current pregnancy
- The subject has known elevated bilirubin levels (hyperbilirubinemia)
The subject has taken or plans to take any of the following medications during the current pregnancy:
- Progesterone or progesterone-derivative medication after 13 6/7 weeks gestation
- Enoxaparin, heparin, heparin sodium, low molecular weight heparin after first day of last menstrual period
- The subject has participated in, or plans to participate in, an interventional treatment study during the current pregnancy
- The current pregnancy was previously a multiple gestation that is now a single fetus due to reduction, vanishing twin, etc.
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
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Women with preterm delivery
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Women without preterm delivery
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
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Area under the receiver operator characteristic curve (AUROC) for prediction of preterm versus term birth using freshly collected specimens.
Time Frame: Up to 30 months
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Up to 30 months
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Chair: Durlin E Hickok, MD, Sera Prognostics
Publications and helpful links
General Publications
- Blencowe H, Cousens S, Oestergaard MZ, Chou D, Moller AB, Narwal R, Adler A, Vera Garcia C, Rohde S, Say L, Lawn JE. National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications. Lancet. 2012 Jun 9;379(9832):2162-72. doi: 10.1016/S0140-6736(12)60820-4.
- Liu L, Johnson HL, Cousens S, Perin J, Scott S, Lawn JE, Rudan I, Campbell H, Cibulskis R, Li M, Mathers C, Black RE; Child Health Epidemiology Reference Group of WHO and UNICEF. Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000. Lancet. 2012 Jun 9;379(9832):2151-61. doi: 10.1016/S0140-6736(12)60560-1. Epub 2012 May 11. Erratum In: Lancet. 2012 Oct 13;380(9850):1308.
- Esplin MS, Merrell K, Goldenberg R, Lai Y, Iams JD, Mercer B, Spong CY, Miodovnik M, Simhan HN, van Dorsten P, Dombrowski M; Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal-Fetal Medicine Units Network. Proteomic identification of serum peptides predicting subsequent spontaneous preterm birth. Am J Obstet Gynecol. 2011 May;204(5):391.e1-8. doi: 10.1016/j.ajog.2010.09.021. Epub 2010 Nov 11.
- Saade GR, Boggess KA, Sullivan SA, Markenson GR, Iams JD, Coonrod DV, Pereira LM, Esplin MS, Cousins LM, Lam GK, Hoffman MK, Severinsen RD, Pugmire T, Flick JS, Fox AC, Lueth AJ, Rust SR, Mazzola E, Hsu C, Dufford MT, Bradford CL, Ichetovkin IE, Fleischer TC, Polpitiya AD, Critchfield GC, Kearney PE, Boniface JJ, Hickok DE. Development and validation of a spontaneous preterm delivery predictor in asymptomatic women. Am J Obstet Gynecol. 2016 May;214(5):633.e1-633.e24. doi: 10.1016/j.ajog.2016.02.001. Epub 2016 Feb 11.
- Goldenberg RL, Rouse DJ. Prevention of premature birth. N Engl J Med. 1998 Jul 30;339(5):313-20. doi: 10.1056/NEJM199807303390506. No abstract available.
- Rush RW, Keirse MJ, Howat P, Baum JD, Anderson AB, Turnbull AC. Contribution of preterm delivery to perinatal mortality. Br Med J. 1976 Oct 23;2(6042):965-8. doi: 10.1136/bmj.2.6042.965.
- Gravett MG, Novy MJ, Rosenfeld RG, Reddy AP, Jacob T, Turner M, McCormack A, Lapidus JA, Hitti J, Eschenbach DA, Roberts CT Jr, Nagalla SR. Diagnosis of intra-amniotic infection by proteomic profiling and identification of novel biomarkers. JAMA. 2004 Jul 28;292(4):462-9. doi: 10.1001/jama.292.4.462. Erratum In: JAMA. 2004 Nov;292(19):2340.
- Ruetschi U, Rosen A, Karlsson G, Zetterberg H, Rymo L, Hagberg H, Jacobsson B. Proteomic analysis using protein chips to detect biomarkers in cervical and amniotic fluid in women with intra-amniotic inflammation. J Proteome Res. 2005 Nov-Dec;4(6):2236-42. doi: 10.1021/pr050139e.
- Buhimschi CS, Bhandari V, Hamar BD, Bahtiyar MO, Zhao G, Sfakianaki AK, Pettker CM, Magloire L, Funai E, Norwitz ER, Paidas M, Copel JA, Weiner CP, Lockwood CJ, Buhimschi IA. Proteomic profiling of the amniotic fluid to detect inflammation, infection, and neonatal sepsis. PLoS Med. 2007 Jan;4(1):e18. doi: 10.1371/journal.pmed.0040018.
- Gravett MG, Thomas A, Schneider KA, Reddy AP, Dasari S, Jacob T, Lu X, Rodland M, Pereira L, Sadowsky DW, Roberts CT Jr, Novy MJ, Nagalla SR. Proteomic analysis of cervical-vaginal fluid: identification of novel biomarkers for detection of intra-amniotic infection. J Proteome Res. 2007 Jan;6(1):89-96. doi: 10.1021/pr060149v.
- Pereira L, Reddy AP, Jacob T, Thomas A, Schneider KA, Dasari S, Lapidus JA, Lu X, Rodland M, Roberts CT Jr, Gravett MG, Nagalla SR. Identification of novel protein biomarkers of preterm birth in human cervical-vaginal fluid. J Proteome Res. 2007 Apr;6(4):1269-76. doi: 10.1021/pr0605421. Epub 2007 Mar 21.
- Committee opinion no 611: method for estimating due date. Obstet Gynecol. 2014 Oct;124(4):863-866. doi: 10.1097/01.AOG.0000454932.15177.be.
- Hanley JA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology. 1983 Sep;148(3):839-43. doi: 10.1148/radiology.148.3.6878708.
- Obuchowski NA, McClish DK. Sample size determination for diagnostic accuracy studies involving binormal ROC curve indices. Stat Med. 1997 Jul 15;16(13):1529-42. doi: 10.1002/(sici)1097-0258(19970715)16:133.0.co;2-h.
- Buhimschi IA, Christner R, Buhimschi CS. Proteomic biomarker analysis of amniotic fluid for identification of intra-amniotic inflammation. BJOG. 2005 Feb;112(2):173-81. doi: 10.1111/j.1471-0528.2004.00340.x.
- Markenson GR, Saade GR, Laurent LC, Heyborne KD, Coonrod DV, Schoen CN, Baxter JK, Haas DM, Longo S, Grobman WA, Sullivan SA, Major CA, Wheeler SM, Pereira LM, Su EJ, Boggess KA, Hawk AF, Crockett AH, Fox AC, Polpitiya A, Fleischer TC, Critchfield GC, Burchard J, Boniface JJ, Lam GK. Performance of a proteomic preterm delivery predictor in a large independent prospective cohort. Am J Obstet Gynecol MFM. 2020 Aug;2(3):100140. doi: 10.1016/j.ajogmf.2020.100140. Epub 2020 May 17.
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ACTUAL)
Primary Completion
Study Completion (ACTUAL)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ESTIMATE)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- SP 014
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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