Subgroup identification of early preterm birth (ePTB): Informing a future prospective enrichment clinical trial design

BMC Pregnancy and Childbirth

Volumn 17, Issue 1, 2017, Pages

  Zhang, Chuanwu ^a   Garrard, Lili ^b   Keighley, John ^a   Carlson, Susan ^c   Gajewski, Byron ^a  

^a UNIVERSITY OF KANSAS SCHOOL OF MEDICINE   (United States)

^b CENTER FOR DRUG EVALUATION AND RESEARCH   (United States)

^c UNIVERSITY OF KANSAS MEDICAL CENTER   (United States)

Author keywords

Classification and regression tree; Early preterm birth; Enrichment trial design; Interaction; Logistic regression; Risk factor

Indexed keywords

BLOOD CLOTTING FACTOR 5; DOCOSAHEXAENOIC ACID;

ADULT; AFRICAN AMERICAN; ALASKA NATIVE; ARTICLE; ASIAN; BLACK PERSON; BODY MASS; CALIBRATION; CONTROLLED STUDY; CROHN DISEASE; DESCRIPTIVE RESEARCH; DIETARY SUPPLEMENT; DISEASE SEVERITY; EDUCATION; FEMALE; GESTATIONAL AGE; HISPANIC; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MARRIAGE; MATERNAL AGE; MATERNAL DIABETES MELLITUS; MATERNAL HYPERTENSION; MATERNAL SMOKING; MEDICAID; PACIFIC ISLANDER; PREECLAMPSIA; PREMATURE LABOR; RACE; RISK FACTOR; ANCESTRY GROUP; CLINICAL TRIAL (TOPIC); METHODOLOGY; NEWBORN; PARITY; PREGNANCY; PREMATURITY; PREVALENCE; PROSPECTIVE STUDY; RISK ASSESSMENT; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; UNITED STATES;

ADULT; AFRICAN AMERICANS; CLINICAL TRIALS AS TOPIC; CONTINENTAL POPULATION GROUPS; FEMALE; HISPANIC AMERICANS; HUMANS; HYPERTENSION, PREGNANCY-INDUCED; INFANT, EXTREMELY PREMATURE; INFANT, NEWBORN; LOGISTIC MODELS; MATERNAL AGE; PARITY; PREGNANCY; PREMATURE BIRTH; PREVALENCE; PROSPECTIVE STUDIES; RESEARCH DESIGN; RISK ASSESSMENT; RISK FACTORS; UNITED STATES;

EID: 85008482414     PISSN: None     EISSN: 14712393     Source Type: Journal    
DOI: 10.1186/s12884-016-1189-0     Document Type: Article

References (32)

1. Hamilton BE, Martin JA, Osterman M, Curtin S, Matthews T. Births: Final Data for 2014. Natl Vital Stat Rep. 2015;64(12):1-64.
2. Catov JM, Bertolet M, Chen YF, Evans RW, Hubel CA. Nonesterified fatty acids and spontaneous preterm birth: a factor analysis for identification of risk patterns. Am J Epidemiol. 2014;179(10):1208-15.
3. Blencowe H, Cousens S, Oestergaard MZ, Chou D, Moller AB, Narwal R, Adler A, Vera Garcia C, Rohde S, Say L, et al. 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;379(9832):2162-72.
4. Witt WP, Cheng ER, Wisk LE, Litzelman K, Chatterjee D, Mandell K, Wakeel F. Preterm birth in the United States: the impact of stressful life events prior to conception and maternal age. Am J Public Health. 2014;104 Suppl 1:S73-80.
5. Norman M. Preterm birth--an emerging risk factor for adult hypertension? Semin Perinatol. 2010;34(3):183-7.
6. Keijzer-Veen MG, Dulger A, Dekker FW, Nauta J, van der Heijden BJ. Very preterm birth is a risk factor for increased systolic blood pressure at a young adult age. Pediatr Nephrol. 2010;25(3):509-16.
7. Gravett MG, Rubens CE. A framework for strategic investments in research to reduce the global burden of preterm birth. Am J Obstet Gynecol. 2012;207(5):368-73.
8. McCormick MC. The contribution of low birth weight to infant mortality and childhood morbidity. N Engl J Med. 1985;312(2):82-90.
9. Russell RB, Green NS, Steiner CA, Meikle S, Howse JL, Poschman K, Dias T, Potetz L, Davidoff MJ, Damus K. Cost of hospitalization for preterm and low birth weight infants in the United States. Pediatrics. 2007;120(1):e1-9.
10. Treyvaud K, Doyle LW, Lee KJ, Roberts G, Cheong JL, Inder TE, Anderson PJ. Family functioning, burden and parenting stress 2years after very preterm birth. Early Hum Dev. 2011;87(6):427-31.
11. Lawn JE, Gravett MG, Nunes TM, Rubens CE, Stanton C. Global report on preterm birth and stillbirth (1 of 7): definitions, description of the burden and opportunities to improve data. Bmc Pregnancy Childb. 2010;10(1):1.
12. Christopherson M, Penrose C. 1240 An Evaluation of the Burden of Premature Birth on a United Kingdom Regional Paediatric Intensive Care Service. Pediatr Res. 2010;68:614-5.
13. Martius JA, Steck T, Oehler MK, Wulf K-H. Risk factors associated with preterm (< 37+ 0 weeks) and early preterm birth (< 32+ 0 weeks): univariate and multivariate analysis of 106 345 singleton births from the 1994 statewide perinatal survey of Bavaria. Eur J Obstet Gynecol Reprod Biol. 1998;80(2):183-9.
14. Creasy RK. Preterm birth prevention: where are we? Am J Obstet Gynecol. 1993;168(4):1223-30.
15. Saccone G, Perriera L, Berghella V. Prior uterine evacuation of pregnancy as independent risk factor for preterm birth: a systematic review and metaanalysis. Am J Obstet Gynecol. 2016;214(5):572-91.
16. Gandhimadhi D, Mythili R. Periodontal infection as a risk factor for preterm low birth weight. J Indian Soc Periodontol. 2010;14(2):114-20.
17. Little SE, Janiak E, Bartz D, Smith NA. Second trimester dilation and evacuation: a risk factor for preterm birth? J Perinatol. 2015;35(12):1006-10.
18. Connealy BD, Carreno CA, Kase BA, Hart LA, Blackwell SC, Sibai BM. A history of prior preeclampsia as a risk factor for preterm birth. Am J Perinatol. 2014;31(6):483-8.
19. Hiltunen LM, Laivuori H, Rautanen A, Kaaja R, Kere J, Krusius T, Rasi V, Paunio M. Factor V Leiden as a risk factor for preterm birth--a population-based nested case-control study. J Thromb Haemost. 2011;9(1):71-8.
20. Simhan HN, Bodnar LM, Kim KH. Lower genital tract inflammatory milieu and the risk of subsequent preterm birth: an exploratory factor analysis. Paediatr Perinat Epidemiol. 2011;25(3):277-82.
21. Stephansson O, Larsson H, Pedersen L, Kieler H, Granath F, Ludvigsson JF, Falconer H, Ekbom A, Sorensen HT, Norgaard M. Crohn's disease is a risk factor for preterm birth. Clin Gastroenterol Hepatol. 2010;8(6):509-15.
22. Saigal S, Doyle LW. An overview of mortality and sequelae of preterm birth from infancy to adulthood. Lancet. 2008;371(9608):261-9.
23. Carlson SE, Colombo J, Gajewski BJ, Gustafson KM, Mundy D, Yeast J, Georgieff MK, Markley LA, Kerling EH, Shaddy DJ. DHA supplementation and pregnancy outcomes. Am J Clin Nutr. 2013;97(4):808-15.
24. Neerhof MG, Cravello C, Haney EI, Silver RK. Timing of labor induction after premature rupture of membranes between 32 and 36 weeks' gestation. Am J Obstet Gynecol. 1999;180(2):349-52.
25. Tan HZ, Wen SW, Chen XK, Demissie K, Walker M. Early prediction of preterm birth for singleton, twin, and triplet pregnancies. Eur J Obstet Gyn R B. 2007;131(2):132-7.
26. CDC. User Guide to the 2014 NatalityPublic Use File. 2014.
27. Loh WY. Classification and regression trees. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 2011;1(1):14-23.
28. Lei Y, Nollen N, Ahluwahlia JS, Yu Q, Mayo MS. An application in identifying high-risk populations in alternative tobacco product use utilizing logistic regression and CART: a heuristic comparison. BMC Public Health. 2015;15(1):1-9.
29. Nollen NL, Ahluwalia JS, Lei Y, Yu Q, Scheuermann TS, Mayo MS. Adult Cigarette Smokers at Highest Risk for Concurrent Alternative Tobacco Product Use Among a Racially/Ethnically and Socioeconomically Diverse Sample. 2015.
30. Lemon SC, Roy J, Clark MA, Friedmann PD, Rakowski W. Classification and regression tree analysis in public health: methodological review and comparison with logistic regression. Ann Behav Med. 2003;26(3):172-81.
31. Breiman L, Friedman J, Olshen R, Stone C. Classification and regression trees. Monterey: Wadsworth; 1984.
32. Gordon L. Using Classification and Regression Trees (CART) in SAS® Enterprise Miner TM For Applications in Public Health. Public Health. 2013;2013. http://support.sas.com/resources/papers/proceedings13/089-2013.pdf.