Characterizing maternal glycemic control: A more informative approach using semiparametric regression

Journal of Maternal-Fetal and Neonatal Medicine

Volumn 25, Issue 1, 2012, Pages 15-19

  VanDyke, Rhonda ^a   Ren, Yan ^b   Sucharew, Heidi J ^a   Miodovnik, Menachem ^c   Rosenn, Barak ^d   Khoury, Jane C ^a  

^a UNIVERSITY OF CINCINNATI COLLEGE OF MEDICINE   (United States)

^b UNIVERSITY OF CINCINNATI   (United States)

^c WASHINGTON HOSPITAL CENTER   (United States)

^d ST LUKE S ROOSEVELT HOSPITAL CENTER   (United States)

Author keywords

Functional data analysis; glucose curves; large for gestational age; maternal hyperglycemia; mean evolution; simultaneous confidence bands

Indexed keywords

GLUCOSE;

ADULT; APPROPRIATE FOR GESTATIONAL AGE; CONFERENCE PAPER; CONTROLLED STUDY; FEMALE; FETUS OUTCOME; FIRST TRIMESTER PREGNANCY; GLUCOSE BLOOD LEVEL; GLYCEMIC CONTROL; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; LARGE FOR GESTATIONAL AGE; MAJOR CLINICAL STUDY; MATERNAL BLOOD; PARAMETERS CONCERNING THE FETUS, NEWBORN AND PREGNANCY; PRIORITY JOURNAL; PROGNOSIS; REGRESSION ANALYSIS; SECOND TRIMESTER PREGNANCY; SEMIPARAMETRIC REGRESSION; THIRD TRIMESTER PREGNANCY;

BIRTH WEIGHT; BLOOD GLUCOSE; DIABETES MELLITUS, TYPE 1; FEMALE; FETAL MACROSOMIA; GESTATIONAL AGE; HUMANS; PREGNANCY; PREGNANCY IN DIABETICS; REGRESSION ANALYSIS;

EID: 84055221762     PISSN: 14767058     EISSN: 14764954     Source Type: Journal    
DOI: 10.3109/14767058.2012.626922     Document Type: Conference Paper

References (30)

1. McElvy SS, Miodovnik M, Rosenn B, Khoury JC, Siddiqi T, Dignan PS, Tsang RC. A focused preconceptional and early pregnancy program in women with type 1 diabetes reduces perinatal mortality and malformation rates to general population levels. J Matern Fetal Med 2000;9:14-20. (Pubitemid 30176207)
2. Langer O, Conway DL. Level of glycemia and perinatal outcome in pregestational diabetes. J Matern Fetal Med 2000;9:35-41. (Pubitemid 30176210)
3. Bollepalli S, Dolan LM, Miodovnik M, Feghali M, Khoury JC. Asymmetric large-for-gestational-age infants of type 1 diabetic women: morbidity and abdominal growth. Am J Perinatol 2010;27:603-610.
4. Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 2004;27:1047-1053. (Pubitemid 38579764)
5. Lawrence JM, Contreras R, Chen W, Sacks DA. Trends in the prevalence of preexisting diabetes and gestational diabetes mellitus among a racially/ ethnically diverse population of pregnant women, 1999-2005. Diabetes Care 2008;31:899-904.
6. Tai MM. A mathematical model for the determination of total area under glucose tolerance and other metabolic curves. Diabetes Care 1994;172:152-154. (Pubitemid 24035313)
7. Kilpatrick ES, Rigby AS, Goode K, Atkin SL. Relating mean blood glucose and glucose variability to the risk of multiple episodes of hypoglycaemia in type 1 diabetes. Diabetologia 2007;50:2553-2561. (Pubitemid 350060641)
8. Service FJ, Molnar GD, Rosevear JW, Ackerman E, Gatewood LC, Taylor WF. Mean amplitude of glycemic excursions, a measure of diabetic instability. Diabetes 1970;19:644-655.
9. Schlichtkrull J, Munck O, Jersild M. The m-valve, an index of blood-sugar control in diabetics. Acta Med Scand 1965;177:95-102.
10. Molnar GD, Taylor WF, Ho MM. Day-to-day variation of continuously monitored glycaemia: a further measure of diabetic instability. Diabetologia 1972;8:342-348.
11. Siegelaar SE, Holleman F, Hoekstra JB, DeVries JH. Glucose variability; does it matter? Endocr Rev 2010;31:171-182.
12. Jovanovic L. Using meal-based self-monitoring blood glucose (SMBG) data to guide dietary recommendations in patients with diabetes. Diabetes Educ 2009;35:1023-1030.
13. Lambert PC, Abrams KR, Jones DR, Halligan AW, Shennan A. Analysis of ambulatory blood pressure monitor data using a hierarchical model incorporating restricted cubic splines and heterogeneous within-subject variances. Stat Med 2001;20:3789-3805.
14. Ruppert D, Wand MP, Carroll RJ. Semiparametric Regression. Cambridge University Press, Cambridge, UK; 2003.
15. Wand MP. A comparison of regression spline smoothing procedures. Comput Stat 2000;15:443-462. (Pubitemid 33217126)
16. Shults J, Whitt MC, Kumanyika S. Analysis of data with multiple sources of correlation in the framework of generalized estimating equations. Stat Med 2004;23:3209-3226. (Pubitemid 39334908)
17. Littell RC, Milliken GA, Stroup WW, Wolfinger RD, Schabenberger O. SAS for Mixed Models, 2nd Edition. SAS Institute, Inc, Cary, NC, USA; 2006.
18. Ngo L, Wand MP. Smoothing with mixed model software. J Stat Software 2004;9:1-56.
19. Ruppert D. Selecting the number of knots for penalized splines. J Comput Graph Stat 2002;11:735-737.
20. Maringwa JT, Geys H, Shkedy Z, Faes C, Molenberghs G, Aerts M, Ammel KV, et al. Application of semiparametric mixed models and simultaneous confidence bands in a cardiovascular safety experiment with longitudinal data. J Biopharm Stat 2008;18:1043-1062.
21. Akaike H. Maxmimum likelihood identification to Gaussian autoregressive moving average models. Biometrika 1973;60:255-265.
22. Eilers PHC, Marx BD. Flexible smoothing with B-splines and penalties. Stat Science 1996;11:89-121. (Pubitemid 126706128)
23. Lee Y, Nelder JA, Pawitan Y. Generalized Linear Models with Random Effects: Unified Analysis via H-Likelihood. Chapman and Hall/CRC, Boca Raton, FL, USA; 2006.
24. Ramsay JO, Silverman BW. Functional Data Analysis. Springer, New York, USA; 1997. Chapter 1.
25. Ratcliffe SJ, Heller GZ, Leader LR. Functional data analysis with application to periodically stimulated foetal heart rate data. II: functional logistic regression. Stat Med 2002;21:1115-1127. (Pubitemid 34285494)
26. Behseta S, Kass RE. Testing equality of two functions using BARS. Stat Med 2005;24:3523-3534. (Pubitemid 41645390)
27. Rodriguez A, Dunson DB, Gelfand AE. Bayesian Nonparametric Functional Data Analysis Through Density Estimation. Biometrika 2009;96:149-162.
28. Chen R, Yogev Y, Ben-Haroush A, Jovanovic L, Hod M, Phillip M. Continuous glucose monitoring for the evaluation and improved control of gestational diabetes mellitus. J Matern Fetal Neonatal Med 2003;14:256-260. (Pubitemid 37340295)
29. Kerssen A, Evers IM, de Valk HW, Visser GH. Poor glucose control in women with type 1 diabetes mellitus and 'safe' hemoglobin A1c values in the first trimester of pregnancy. J Matern Fetal Neonatal Med 2003;13:309-313. (Pubitemid 36606096)
30. Molenberghs G, Kenward KG. Missing Data in Clinical Studies, John Wiley and Sons, London, UK; 2007.