An application of multiple logistic regression for identifying lipid profile changes towards assessing maternal and fetal outcomes

K. Rosaiah, Naga Saritha Kolli, N. S. Sanjeeva Rao


Background: The millennium development goals encourage governments to address and reduce various developmental issues, two of the important ones being maternal and child health. The one of the important causes of maternal mortality in India is pregnancy induced hypertension (PIH) and present study is to identify the relationship between disturbed lipid profile and preeclampsia its effect on fetal and maternal outcome.

Methods: This was a descriptive cross-sectional study done on data of maternal care and outcomes from the NRI General Hospital, Guntur district in the year 2013. Multiple logistic regression analysis is applied and results are adjusted to covariates maternal age and gravida.

Results: Systolic blood pressure, diastolic blood pressure of normal group (n=50) and PIH group (n=60) are 116.08±7.77, 76.08±4.93, and 165.66±16.8 105.5±14.07 respectively. Birth weights of infants in normotensives and PIH group are 2.85±0.33 and 1.93±0.659 respectively. Percentages of fetal and maternal complications in PIH group are 88.33% and 25%. Still births are present in 31.66% of PIH cases. Mean and SD of gestational age in weeks in normal and PIH groups are 37.92±1.94 and 34.36±3.44 respectively.

Conclusions: The model showed significant association between the selected independent variable, covariates and outcomes. The study demonstrates that multiple logistic regression may be applied to medical data in developing predictor models which are useful in clinical settings.


Multiple logistic regression, Dichotomous outcome, Fetal complications, Hypertensive disorders

Full Text:



Ottenbachera KJ, Ottenbacherb HR, Toothc L, Ostird GV. A review of two journals found that articles using multivariable logistic regression frequently did not report commonly recommended assumptions. J Clin Epidemiol. 2004;57:1147-52.

Levy PS, Stolte K. Statistical methods in public health and epidemiology: a look at the recent past and projections for the next decade. Stat Methods Med Res. 2000;9:41-55.

Chin S. The rise and fall of logistic regression. Aust Epidemiol. 2001;8:7-10.

Khan KS, Chien PF, Dwarakanath LS. Logistic regression models in obstetrics and gynecology. literature. Obest Gynecol, 1999;93:10014-20.

R Bender, U Grouven. Ordinal Logistic Regression in medical research. J Royal Coll Physicians London. 1997;31(5):546-51.

Schmitz PIM. Developments in logistic regression methodology from 1970-1986. Chapter 1:13-31. Logistic Regression in Medical Decision Making and Epidemiology. 1986

Gohil JT, Patel PK, Gupta P. Estimation of Lipid Profile in Subjects of Preeclampsia. J Obstetr Gynaecol of India. 2011;61(4):399-403.

WHO Facts sheet on maternal mortality. 2013. Available at: factsheets/fs348/en/. Accessed on 3 January 2020.

Islam NAF, Chowdhury MAR, Kibria GM, Akhter S. Study of Serum Lipid Profile in Pre-Eclampsia and Eclampsia. Faridpur Med Coll J. 2010;5 (2).

Onyiruika AN, Onakewhor JU, Okolo AA. Effects of Hypertensive Disorders in Pregnancy on Preterm Delivery and Anthropometric Indices in the Resultant Newborn Infants. Ann Biomed Sci. 2004;3(1&2):12-22.

Singh U, Yadav S, Mehrotra, Natu SM, Kumari K, Yadav YS. Serum lipid profile in early pregnancy as a predictor of Preeclampsia. Int J Med Rev. 2013:1(2):56-62.

Vrijkotte TGM, Krukziener N, Hutten BA, Vollebregt KC, van Eijsden M, Twickler MB. Maternal Lipid Profile During Early Pregnancy and Pregnancy Complications and Outcomes: The ABCD Study. J Clin Endocrinol Metabol. 2012;97(11):3917-25.

Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996;49(12):1373-9.

Scott LJ, Freese J. Regression models for categorical dependent variables using Stata. Stata press, 2006.

Evrüke IC, Demir SC, Ürünsak IF, Özgünen FT, Kadayıfçı O. Comparison of lipid profiles in normal and hypertensive pregnant women. Ann Saudi Med 2004;24(5):382-5.

Villar J, Carroli G, Wojdyla D, Abalos E, Giordeno D, Ba’aqeel, et al. Preeclampsia, gestational hypertension and intrauterine growth restriction, related or independent conditions?. Am J Obstetr Gynaecol. 2006;194(4):921-31.