The relationship of hyperlipidemia with maternal and neonatal outcomes in pregnancy: A cross-sectional study

Hyperlipidemia Prevention and Management Utilizing Lifestyle Changes

Hyperlipidemia incidence is on the rise and lifestyle behavior change is the first-line therapy. Left untreated, hyperlipidemia can result in cardiovascular disease leading to increased morbidity and mortality in persons worldwide. Evidence has demonstrated behavioral changes such as increased exercise, healthy nutrition, smoking cessation, alcohol abstinence, and other lifestyle modification interventions significantly decrease the incidence and severity of hyperlipidemia. The purpose of this article is to review the evidence of lifestyle interventions in preventing and managing hyperlipidemia and to suggest innovative ways to integrate those techniques into clinical practice. Recommendations on hyperlipidemia specific to pregnancy, polycystic ovary syndrome, and estrogen deficiency are also discussed.

Sex-Specific Differences in Lipoprotein Production and Clearance

Therapeutic approaches to reduce atherogenic lipid and lipoprotein levels remain the most effective and assessable strategies to prevent and treat cardiovascular disease. The discovery of novel research targets linked to pathways associated with cardiovascular disease development has enhanced our ability to decrease disease burden; however, residual cardiovascular disease risks remain. Advancements in genetics and personalized medicine are essential to understand some of the factors driving residual risk. Biological sex is among the most relevant factors affecting plasma lipid and lipoprotein profiles, playing a pivotal role in the development of cardiovascular disease. This minireview summarizes the most recent preclinical and clinical studies covering the effect of sex on plasma lipid and lipoprotein levels. We highlight the recent advances in the mechanisms regulating hepatic lipoprotein production and clearance as potential drivers of disease presentation. We focus on using sex as a biological variable in studying circulating lipid and lipoprotein levels.

Prediction of adverse pregnancy outcomes by first-trimester components of metabolic syndrome: a prospective longitudinal study

PURPOSE

This study aimed to identify the optimal cutoff values of each component of metabolic syndrome (MetS) in the first trimester of pregnancy for predicting adverse pregnancy outcomes.

METHODS

A total of 1076 pregnant women in the first trimester of gestation were recruited in this prospective longitudinal cohort study. Specifically, 993 pregnant women at 11-13 weeks of gestation who were followed up until the end of pregnancy were included in the final analysis. The cutoff values of each component of MetS in the occurrence of adverse pregnancy outcomes including gestational diabetes (GDM), gestational hypertensive disorders, and preterm birth were obtained via receiver operating characteristic (ROC) curve analysis using the Youden's index.

RESULTS

Among the 993 pregnant women studied, the significant associations between the first trimester MetS components and adverse pregnancy outcomes were as follows: triglyceride (TG) and body mass index (BMI) with preterm birth; mean arterial pressure (MAP), TG, and high-density lipoprotein cholesterol (HDL-C) with gestational hypertensive disorders; BMI, fasting plasma glucose (FPG), and TG with GDM (all p values < 0.05). The cutoff point values for the above-mentioned MetS components were: TG > 138 mg/dl and BMI < 21 kg/m² for the occurrence of preterm birth; TG > 148 mg/dL, MAP > 84, and HDL-C < 84 mg/dl for gestational hypertensive disorders; BMI > 25 kg/m², FPG > 84 mg/dl, and TG > 161 mg/dl for GDM.

CONCLUSION

The study findings imply the importance of early management of metabolic syndrome in pregnancy to improve maternal-fetal outcomes.

Diagnosing Arterial Stiffness in Pregnancy and Its Implications in the Cardio-Renal-Metabolic Chain

Cardio-renal and metabolic modifications during gestation are crucial determinants of foetal and maternal health in the short and long term. The cardio-renal metabolic syndrome is a vicious circle that starts in the presence of risk factors such as obesity, hypertension, diabetes, kidney disease and ageing, all predisposing to a status dominated by increased arterial stiffness and alteration of the vascular wall, which eventually damages the target organs, such as the heart and kidneys. The literature is scarce regarding cardio-renal metabolic syndrome in pregnancy cohorts. The present paper exposes the current state of the art and emphasises the most important findings of this entity, particularly in pregnant women. The early assessment of arterial function can lead to proper and individualised measures for women predisposed to hypertension, pre-eclampsia, eclampsia, and diabetes mellitus. This review focuses on available information regarding the assessment of arterial function during gestation, possible cut-off values, the possible predictive role for future events and modalities to reverse or control its dysfunction, a fact of crucial importance with excellent outcomes at meagre costs.

Pregnancy lipid profile and different lipid patterns of gestational diabetes treated by diet itself

The development of gestational diabetes mellitus (GDM) affects lipid metabolism during pregnancy. However, the magnitude of changes in lipid parameters is unclear. In addition, the patterns of these changes may vary based on the criteria selected for making the diagnosis of GDM. Thus, our aim was to compare the anthropometric and laboratory profiles of GDM-associated vs. GDM-free gestation with those of healthy non-pregnant women. We designed a cross-sectional study involving a group of females affected by GDM, a group of healthy pregnant controls and a group of healthy non-pregnant counterparts. GDM patients were divided into 3 subgroups according to the fulfilled diagnostic criteria, that is, those presenting with high fasting plasma glucose in the first trimester (subgroup 1), high fasting plasma glucose in the second trimester (subgroup 2) and high plasma glucose following oral glucose load in the second trimester (subgroup 3). The anthropometric and metabolic profiles of GDM subjects resembled the facets of metabolic syndrome (highest body mass index, waist circumference, C-peptide level, triglycerides) significantly more than the respective profiles of healthy non-pregnant women (p<0.0001). While total cholesterol (TC) (together with LDL-C and non-HDL-C) in pregnant women with GDM and without GDM did not differ, both groups had significantly higher levels of triglycerides (TG) than non-pregnant women (p<0.0001). Subgroup 1 had the highest fasting glucose level in the second trimester whereas subgroup 3 had the lowest fasting glucose level (p=0.019). Concentration of TG increased, being the lowest in subgroup 1 and the highest in subgroup 3 (p=0.006). Women with GDM had more pronounced features of metabolic syndrome than pregnant women without GDM. Both groups reached higher levels of TC (LDL-C, non-HDL-C) than non-pregnant controls and did not differ from each other. We found differences in TG and fasting glucose levels among different types of GDM.

Maternal lipid profile during early pregnancy and birth weight: A retrospective study

INTRODUCTION

Elevated maternal serum lipid concentrations have been related to an adverse intrauterine environment and lead to abnormal birth weight.

OBJECTIVE

In this study, we aimed to explore the association between maternal lipid profiles during early pregnancy and birth weight with stratified pre-pregnancy body mass index (BMI).

METHODS

This retrospective cohort study was based on a large population from two major maternity centers in Shanghai, China. We included 57,516 women with singleton live birth between January 2018 and October 2020. All of the enrolled women had fasting lipid concentrations measured in early pregnancy. The primary outcomes were birth weight and risks of adverse birth outcomes, including macrosomia, large for gestational age (LGA), low birth weight (LBW), and small for gestational age (SGA).

RESULTS

Higher maternal concentrations of total cholesterol (TC), triglyceride (TG), and low-density cholesterol (LDL-c) in early pregnancy were associated with increased birth weight. Ln transformed TG and levels exhibited a positive association with LGA and macrosomia (OR = 1.33, 95% CI: 1.25, 1.42 and OR = 1.37, 95% CI: 1.24, 1.52) and showed a negative relationship with SGA (OR = 0.73, 95% CI: 0.62, 0.85). High TG (>75^th percentile, 1.67 mmol/L) group also showed higher risks of LGA and macrosomia (OR = 1.21, 95% CI: 1.15, 1.28 and OR = 1.20, 95% CI: 1.10, 1.31) and decreased prevalence of SGA (OR = 0.71, 95% CI: 0.61, 0.83). Moreover, significant combined effects of pre-pregnancy BMI and lipid profiles on LGA and macrosomia were identified.

CONCLUSIONS

Elevated maternal lipid profiles in early pregnancy are associated with higher birth weight and increased risks of LGA and macrosomia. We propose that serum lipid profiles in early pregnancy and pre-pregnancy BMI could serve as screening indexes for high-risk women.

Dyslipidaemia-related cardiovascular risk among pregnant women attending Aminu Kano Teaching Hospital Kano: A longitudinal study

OBJECTIVE

Maternal dyslipidaemia and atherogenic lipid profiles have undesirable effects on maternal and foetal well-being throughout gestation. This study investigates the changes in serum lipid profiles, the prevalence of dyslipidaemia, and the risk of cardiovascular disease among pregnant women attending the antenatal care unit of the Aminu Kano Teaching Hospital (AKTH), Kano.

METHODS

A total of 112 pregnant women visiting AKTH in their second trimester were recruited and followed up within their third trimester. The demographic characteristics, daily dietary consumption patterns, and lipid profiles of all women were assessed using standard methods.

RESULTS

The results revealed that the mean age and gestational age of the pregnant women were approximately 29 ± 6 years and 20 ± 3 weeks, respectively. Most pregnant women were multiparous (76) and multigravida (93). Regarding daily dietary consumption patterns, 20.5%, 63.4%, 13.4%, and 8.0% of the pregnant women consumed nuts, palm oil, butter, and sardines at least one to three times, respectively. Moreover, the serum lipid profiles revealed that the prevalence of dyslipidaemia, hypercholesterolaemia, hypertriglyceridaemia, increased low-density lipoprotein levels, and decreased high-density lipoprotein levels among pregnant women during the second trimester were 69.6%, 19.6%, 36.6%, 18.8%, and 49.1%, respectively. All these parameters significantly increased to 91.8%, 54.1%, 75.3%, 40.0%, and 62.4%, respectively, in the third trimester. Pregnant women showed a high risk of cardiovascular disease in both the second (81.0%) and third (85.0%) trimesters.

CONCLUSION

Progression from mid-pregnancy to delivery is associated with an increased risk of maternal dyslipidaemia and cardiovascular diseases among pregnant women.

Maternal Lipid Profile as Predictor for Mother and Fetus Outcome-an Artificial Neural Network Approach

Purpose. The study aims to predict mother and fetus outcome based on the mother's lipid profile in the second and third trimester of pregnancy. Material and method. Blood and urinary samples were taken from 135 mothers that were prospectively monitored during the hole pregnancy. Total cholesterol (TC), triglycerides (TG), low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), together with other parameters, were used as predictors in a multilayer perceptron (MLP) artificial neural network (ANN). Small for gestational age (SGA) was used to assess the fetal outcome, while Gestational diabetes mellitus (GDM) and, Hypertensive disorders in pregnancy (HDP) to assess the mother's outcome. Results. SGA prediction rate was 0.637±0.022 for the second trimester and 0.632±0.017 for the third trimester. GDM prediction rate was 0.897±0.006 for the second trimester and 0.632±0.017 for the third trimester. HDP prediction rate was 0.620±0.046 for the second trimester and 0.775±0.030 for the third trimester. When used with other parameters (hemoglobin, thrombocytes, uric acid, GOT, GPT, the presence of proteinuria, urea, and creatinine) the prediction rates raised, going over 90% for the GDM. Conclusions. Though individual lipid parameters do not statistically correlate with the output variables the use of ANN generated prediction rates raging from 60% to 90%. The lipid profile from the third trimesters seems to be a better prediction for both fetus and mother outcome.

Changes in serum lipid levels during pregnancy in women with gestational diabetes. A narrative review

We review current knowledge on lipid metabolism changes during pregnancy with special focus on changes in gestational diabetes. In physiological pregnancy, total plasma cholesterol, triglyceride and HDL-cholesterol level rises, the atherogenic index (LDL-cholesterol / HDL-cholesterol remains unchanged. Compared with healthy women, women with GDM show more pronounced signs of mixed dyslipidaemia - increased levels of triglyceride, changes in cholesterol and lipoprotein concentrations with a shift towards greater small dense LDL subtractions, which is typical for insulin resistance states. Dyslipidaemia, particularly hypertriglyceridemia, is thought to be one of the key drivers of foetal macrosomia and that is why measurements of plasma lipids may be valuable in detecting the metabolic abnormality in GDM and in predicting foetal outcome. Dyslipidaemia in GDM is seen as proatherogenic and potentially harmful for the baby and therefore it should be monitored more carefully.

Association Between Maternal Glucose/Lipid Metabolism Parameters and Abnormal Newborn Birth Weight in Gestational Diabetes Complicated by Preeclampsia: A Retrospective Analysis of 248 Cases

INTRODUCTION

Women with gestational diabetes mellitus (GDM) with co-existent preeclampsia (GCP) are at increased risk of giving birth to a baby with an abnormal birth weight. We have analyzed the risk factors for abnormal newborn birth weight (NBW) in women with co-presence of GDM and GCP, focusing on maternal glucose/lipid metabolism, with the aim to optimize the clinical intervention strategy.

METHODS

The clinical data of 248 pregnant women with GCP and their infants were retrospectively analyzed through a comprehensive review of the electronic medical records of Women and Children's Hospital, Xiamen University (Xiamen, China). These women had received prenatal care and had their baby delivered in the hospital between January 2016 and November 2018. Major characteristics assessed were large for gestational age (LGA), small for gestational age (SGA), severe preeclampsia (S-PE), and maternal plasma glucose/lipid profile in late pregnancy. Secondary characteristics were maternal age, height, body mass index (BMI), gestational weight gain (GWG), abortion history, education level, primipara or not, preterm or not, and fetal gender. Regression analysis was used to analyze the association between maternal glucose/lipid metabolism parameters and LGA or SGA.

RESULTS

There was no difference in the ratio of advanced maternal age, primipara, abortion history, preterm delivery, and newborn sex between the control group and the LGA or SGA group. Logistic regression analysis, with such factors as maternal stature, BMI, among others, was applied. Multivariate analysis of SGA infants revealed the following associations: S-PE (odds ratio [OR] 3.226, 95% confidence interval [CI] 1.385-7.515; adjusted OR [AOR] 3.675, 95% CI 1.467-9.207; p  < 0.05); high levels of glycated hemoglobin (HbA1c > 6.5%) (OR 0.436, 95% CI 0.187-1.017; AOR 0.459, 95% CI 0.179-1.173; p  > 0.05); low levels of high-density lipoprotein cholesterol (HDL-C < 1.0 mmol/L) (OR 0.625, 95% CI 0.287-1.361; AOR 0.637, 95% CI 0.267-1.520; p  > 0.05). Multivariate analysis of LGA revealed the following associations: S-PE (OR 30.885, 95% CI 0.398-2.013; AOR 0.974, 95% CI 0.400-2.371; p  > 0.05); high levels of HbA1c (OR 4.542, 95% CI 0.187-11.824; AOR 3.997, 95% CI 1.452-10.998; p  < 0.05); low levels of HDL (OR 3.393, 95% CI 1.362-8.453; AOR 2.900, 95% CI 1.100-7.647; p  < 0.05).

CONCLUSIONS

The results of our analysis revealed that severity of preeclampsia was associated with SGA. The high HbA1c and low HDL-C values found in our analysis were independent risk factors for LGA in women with GCP, while other lipoproteins were not associated with abnormal NBW. These findings suggest that there are differences in the effects of various maternal lipid parameters on NBW.