The risk of pregnancy-associated hypertension in women with nonalcoholic fatty liver disease

Associations of maternal liver biomarkers in the first trimester with the risk of hypertensive disorders of pregnancy

This study aimed to evaluate the association between maternal liver biomarkers in early pregnancy and the risk of hypertensive disorders of pregnancy (HDP), as well as to evaluate interaction between liver enzymes and BMI on the development of HDP. Pregnant women in our study were recruited from the Zhoushan Pregnant Women Cohort. Participants who had their first prenatal follow-up and the blood pressure follow-up records, and measured liver biomarkers in the first trimester were eligible for inclusion in the study. A total of 10,610 pregnant women were included in the analysis, and 305 (2.87%) developed the HDP. There were positive associations between AST, GGT, ALP, HSI and SBP, as well as between ALT, GGT, ALP, HSI and DBP. In addition, AST/ALT level was negatively associated with DBP. The highest quartile of GGT, ALP, AST/ALT and HSI were significantly associated with 1.71-fold (95% Cl: 1.23-2.41), 1.53-fold (95% Cl: 1.10-2.14), 0.62-fold (95% Cl: 0.43-0.90) and 1.67-fold (95% Cl: 1.05-2.67) increased risk of HDP, respectively. There was no significant association between ALT, AST and HDP. These associations remained consistent in pregnant women with liver enzymes within the clinical reference range. Besides, we found an interaction between GGT and BMI (Pinteraction = 0.013) in the development of HDP. In summary, the level of GGT, ALP, AST/ALT and HSI were associated with the subsequent risk of HDP, even within the clinical reference range. And there was an interaction between liver biomarkers and BMI in the development of HDP. Our study showed the level of GGT, ALP, AST/ALT and HSI were associated with the subsequent risk of HDP. And there was an interaction between GGT and BMI in the risk of HDP.

Maternal obesity and metabolic (dysfunction) associated fatty liver disease in pregnancy: a comprehensive narrative review

INTRODUCTION

Obesity and metabolic-associated fatty liver disease (MAFLD) during pregnancy constitute significant problems for routine antenatal care, with increasing prevalence globally. Similar to obesity, MAFLD is associated with a higher risk for maternal complications (e.g. pre-eclampsia and gestational diabetes) and long-term adverse health outcomes for the offspring. However, MAFLD during pregnancy is often under-recognized, with limited management/treatment options.

AREAS COVERED

PubMed/MEDLINE, EMBASE, and Scopus were searched based on a search strategy for obesity and/or MAFLD in pregnancy to identify relevant papers up to 2024. This review summarizes the pertinent evidence on the relationship between maternal obesity and MAFLD during pregnancy. Key mechanisms implicated in the underlying pathophysiology linking obesity and MAFLD during pregnancy (e.g. insulin resistance and dysregulated adipokine secretion) are highlighted. Moreover, a diagnostic approach for MAFLD diagnosis during pregnancy and its complications are presented. Finally, promising relevant areas for future research are covered.

EXPERT OPINION

Research progress regarding maternal obesity, MAFLD, and their impact on maternal and fetal/offspring health is expected to improve the relevant diagnostic methods and lead to novel treatments. Thus, routine practice could apply more personalized management strategies, incorporating individualized algorithms with genetic and/or multi-biomarker profiling to guide prevention, early diagnosis, and treatment.

Adverse pregnancy outcomes as a risk factor for new-onset metabolic dysfunction-associated steatotic liver disease in postpartum women: A nationwide study

Background & Aims

Adverse pregnancy outcomes (APOs) can worsen cardiometabolic risk factors in women, raising their likelihood of developing cardiometabolic diseases at a young age after their initial pregnancy. Nevertheless, there are limited data on the risk of newly developing metabolic dysfunction-associated steatotic liver disease (MASLD) in women who have had APOs. This study aimed to evaluate the risk of new-onset MASLD after experiencing APOs.

Methods

Singleton pregnant women who underwent national health screenings 1 year before pregnancy and 1 year after delivery were included in this study. APOs were defined as the presence of at least one of the followings: hypertensive disorders of pregnancy (HDP), gestational diabetes mellitus (GDM), preterm birth, low birth weight, and placental abruption. The primary outcome was new-onset MASLD based on the presence of APOs.

Results

Among 80,037 study participants, 9,320 (11.6%) experienced APOs during pregnancy. Women who experienced APOs had an increased risk of developing new-onset MASLD after delivery even after adjustments for various covariates (adjusted odds ratio [OR] 1.58, 95% CI 1.45-1.72). In particular, women who experienced either HDP or GDM showed a significantly increased risk of developing new-onset MASLD (adjusted OR 2.20, 95% CI 1.81-2.67, for HDP and adjusted OR 1.83, 95% CI 1.65-2.03, for GDM). Moreover, there was a tendency toward an increased risk of new-onset MASLD according to the number of APOs (p <0.001 for trend of odds).

Conclusions

APOs were associated with the risk of new-onset MASLD after delivery. Specifically, only HDP or GDM were identified as risk factors for new-onset MASLD.

Impact and implications

This nationwide cohort study confirms that postpartum women with a history of adverse pregnancy outcomes (APOs) are at an increased risk of developing metabolic dysfunction-associated steatotic liver disease (MASLD). These findings may bring us one step closer to understanding the exact mechanisms underlying such an important association between prior APOs and cardiovascular disease (CVD) risk among postpartum women. This bidirectional association between APOs and MASLD highlights the importance of considering pregnancy history in assessing CVD risk in women. It suggests a need for closer monitoring and lifestyle interventions for women with a history of APOs to reduce the risk of MASLD and subsequent CVD complications.

Nonalcoholic Fatty Liver Disease and Adverse Pregnancy Outcomes in Women With Normal Prepregnant Weight

CONTEXT

Existing studies focusing on the effects of nonalcoholic fatty liver disease (NAFLD) combined with normal prepregnant weight on pregnancy outcomes are limited.

OBJECTIVE

This study aimed to explore the relationship between maternal NAFLD and adverse pregnancy outcomes in different body mass index (BMI) groups.

METHODS

Using an antenatal care and delivery database, we retrospectively analyzed women who delivered in Minhang Hospital affiliated to Fudan University, Shanghai, China from January 1, 2013, to June 30, 2020. NAFLD was confirmed by ultrasound in early pregnancy. A logistic regression model with adjustment for confounders was used to examine potential associations between NAFLD and pregnancy outcomes.

RESULTS

A total of 14 708 pregnant women (mean prepregnant BMI 21.0 [SD, 2.8] kg/m2) were included in our final study, of whom 554 (3.8%) had NAFLD. After fully adjusting for potential confounders, NAFLD significantly increased the risk of gestational diabetes mellitus (adjusted odds ratio 2.477; 95% CI, 1.885-3.254), gestational hypertension (3.054; 2.191-4.257), preeclampsia/eclampsia (3.994; 2.591-6.005), cesarean section (1.569; 1.315-1.872), preterm births (1.831; 1.229-2.727), and macrosomia (1.691; 1.300-2.198). It is notable that 83.9% (12 338) of women were of normal weight at the start of pregnancy (prepregnant 18.5 ≤ BMI < 24 kg/m2), and they still had higher odds of adverse pregnancy outcomes.

CONCLUSION

Women with NAFLD and a normal weight have a higher risk for adverse pregnancy outcomes. Pregnant women with NAFLD, regardless of obesity status, should be offered a more qualified surveillance to optimize pregnancy outcomes.

Elevated Hepatic Steatosis Index is Associated with the Development of Adverse Maternal, but Not Adverse Neonatal, Outcomes: A Retrospective Cohort Study

Objective

To determine whether an elevated hepatic steatosis index (HSI), a non-invasive test for possible metabolic dysfunction-associated fatty liver disease (MAFLD), is associated with the development of adverse pregnancy outcomes.

Material and Methods

A retrospective cohort study was conducted on adult women with singleton pregnancies who delivered at two tertiary hospitals from August 2014 to December 2017. Aspartate aminotransaminase (AST) and alanine aminotransaminase (ALT) levels obtained 12 months pre-gravid, or during pregnancy but prior to screening for gestational diabetes mellitus (GDM), were extracted and linked with oral glucose tolerance test results. The HSI was calculated using the following equation: 8 × (ALT/AST ratio) + BMI (+2 if female; +2 if diabetes mellitus present) and considered elevated if >36. Multiple logistic regression analysis was used to quantify the association between elevated HSI and each composite adverse pregnancy outcome after adjusting for independent maternal risk factors.

Results

Over 40-months, 11929 women were eligible and of these, 1885 had liver enzymes collected. Women with an elevated HSI (>36) were more likely multiparous and overweight/obese compared to those women with a non-elevated HSI (≤36). Elevated HSI was significantly associated with a composite of adverse maternal outcomes (adjusted odds ratio (aOR) 1.55 95% CI 1.11-2.17, p=0.01), although a non-significant increased risk of a composite of adverse neonatal outcomes occurred after multivariable adjustment (aOR 1.17, 95% CI 0.94-1.45, p=0.17).

Conclusion

Over and above known maternal risk factors, women with elevated HSI were more likely to develop adverse maternal, but not adverse neonatal outcomes.

Metabolic dysfunction-associated fatty liver disease as a risk factor for adverse outcomes in subsequent pregnancy: a nationwide cohort study

BACKGROUND AND PURPOSE

A recent international expert consensus opinion suggested that metabolic dysfunction-associated fatty liver disease (MAFLD) replaces nonalcoholic fatty liver disease (NAFLD), since MAFLD is a better predictor of cardiovascular disease. We estimated the prevalence of FLD in fertile females and evaluated the clinical impact of either NAFLD or MAFLD on maternal and fetal outcomes during subsequent pregnancy.

METHODS

The study population included fertile females who underwent health examinations and became pregnant within 1 year of health examination. Hepatic steatosis was defined as a fatty liver index of ≥ 30. The fertile females were divided into four groups: neither-FLD, NAFLD-only, MAFLD-only, and both-FLDs. During subsequent pregnancy, the risks of adverse pregnancy outcomes, including gestational diabetes, pregnancy-associated hypertension, preterm birth, and low birthweight, were compared among the four groups.

RESULTS

The study population comprised 762,401 females, including 720,606 with neither-FLD, 318 with NAFLD-only, 14,371 with MAFLD-only, and 27,106 with both-FLDs. Compared to females with neither-FLD, the risk of adverse pregnancy outcomes was higher in females with any FLD, with an adjusted OR of 1.73 (95% CI 1.25-2.41) in the NALFD-only group, 2.65 (2.53-2.77) in the MAFLD-only group, and 2.39 (2.31-2.48) in the both-FLDs group. Pregnancy outcomes (cesarean delivery, gestational diabetes, and low birthweight) were worse in females with MAFLD compared with NAFLD.

CONCLUSION

Any form of FLD is a risk factor for adverse pregnancy outcomes. These data suggest that MAFLD is associated with a higher risk of adverse pregnancy outcomes for both mother and fetus than NAFLD.

Metabolic Dysfunction-Associated Fatty Liver Disease and Subsequent Development of Adverse Pregnancy Outcomes

BACKGROUND & AIMS

Recently, metabolic dysfunction-associated fatty liver disease (MAFLD), rather than nonalcoholic fatty liver disease (NAFLD), was proposed to better describe liver disease associated with metabolic dysfunction (MD). In this study, we attempted to investigate the impact of MAFLD on pregnancy complications.

METHODS

The current study is a secondary analysis of a multicenter prospective cohort designed to examine the risk of NAFLD during pregnancy. In the first trimester, enrolled pregnant women were evaluated for hepatic steatosis by liver ultrasonography, and blood samples were collected for biochemical measurements. The study population was divided into 3 groups: no NAFLD, hepatic steatosis but without metabolic dysfunction (non-MD NAFLD), and MAFLD. The primary outcome was the subsequent development of adverse pregnancy outcomes, including gestational diabetes mellitus, pregnancy-associated hypertension, preterm birth, and fetal growth abnormalities.

RESULTS

The study population consisted of 1744 pregnant women, including 1523 with no NAFLD, 43 with non-MD NAFLD, and 178 with MAFLD. The risk of subsequent development of adverse pregnancy outcomes was higher in MAFLD than in non-MD NAFLD (adjusted odds ratio, 4.03; 95% CI, 1.68-9.67), whereas the risk was not significantly different between no NAFLD and non-MD NAFLD. Among women with no NAFLD, the presence of MD increased the risk of adverse pregnancy outcomes. However, women with MAFLD were at higher risk for adverse pregnancy outcomes than women with no NAFLD without MD or those with no NAFLD with MD.

CONCLUSIONS

In pregnant women, MAFLD may be associated with an increased risk of subsequent adverse pregnancy outcomes.

Development of early prediction model for pregnancy-associated hypertension with graph-based semi-supervised learning

Clinical guidelines recommend several risk factors to identify women in early pregnancy at high risk of developing pregnancy-associated hypertension. However, these variables result in low predictive accuracy. Here, we developed a prediction model for pregnancy-associated hypertension using graph-based semi-supervised learning. This is a secondary analysis of a prospective study of healthy pregnant women. To develop the prediction model, we compared the prediction performances across five machine learning methods (semi-supervised learning with both labeled and unlabeled data, semi-supervised learning with labeled data only, logistic regression, support vector machine, and random forest) using three different variable sets: [a] variables from clinical guidelines, [b] selected important variables from the feature selection, and [c] all routine variables. Additionally, the proposed prediction model was compared with placental growth factor, a predictive biomarker for pregnancy-associated hypertension. The study population consisted of 1404 women, including 1347 women with complete follow-up (labeled data) and 57 women with incomplete follow-up (unlabeled data). Among the 1347 with complete follow-up, 2.4% (33/1347) developed pregnancy-associated HTN. Graph-based semi-supervised learning using top 11 variables achieved the best average prediction performance (mean area under the curve (AUC) of 0.89 in training set and 0.81 in test set), with higher sensitivity (72.7% vs 45.5% in test set) and similar specificity (80.0% vs 80.5% in test set) compared to risk factors from clinical guidelines. In addition, our proposed model with graph-based SSL had a higher performance than that of placental growth factor for total study population (AUC, 0.71 vs. 0.80, p < 0.001). In conclusion, we could accurately predict the development pregnancy-associated hypertension in early pregnancy through the use of routine clinical variables with the help of graph-based SSL.

Liver stiffness and steatosis in preeclampsia as shown by transient elastography-a prospective cohort study

BACKGROUND

Preeclampsia is a multisystem disorder and the leading cause of severe morbidity and death in pregnancy. Liver involvement in preeclampsia ranges from elevated liver enzyme levels to hepatic infarction or rupture. Endothelial dysfunction leads to changes in blood flow and congestion and may be involved in the pathophysiology of preeclampsia. Changes in splanchnic blood flow and portal congestion can lead to altered liver stiffness. Transient elastography is a noninvasive, ultrasound-based technique that measures organ stiffness and steatosis and is therefore widely used in clinical hepatology. Previous studies reported elevated liver stiffness and liver steatosis, as measured by transient elastography, in women with preeclampsia.

OBJECTIVE

This study followed changes in liver stiffness and steatosis, as measured by transient elastography, from the antepartum period to 1-week postpartum among women with preeclampsia compared with healthy controls and evaluated the association between preeclampsia severity and transient elastography results.

STUDY DESIGN

This prospective cohort study was conducted from 2017 through 2021. The study group comprised women with preeclampsia, and the control group comprised healthy pregnant women hospitalized for other reasons. All the participants underwent transient elastography either on diagnosis of preeclampsia (study group) or on hospital admission (control group) and again in the postpartum period. Liver stiffness measurements are expressed in kilopascals (kPa) in the range of 2.5 to 75 kPa, and liver steatosis is expressed by controlled attenuation parameter in the range of 100 to 400 dB/m.

RESULTS

The study group comprised 36 women and the control group 37. Liver stiffness scores were significantly elevated in the study when compared with the control group, both in the antepartum period (P<.001) and the postpartum period (P=.025). Liver stiffness scores decreased significantly after delivery in the study and control groups (P<.001 and P=.002, respectively). Liver steatosis scores were higher in the study group than in the control group both in the antepartum and postpartum periods (P<.001 and P<.02, respectively). In the multivariable analysis, the diagnosis of preeclampsia correlated with higher antepartum liver stiffness scores (P=.005). For the study group, postpartum liver stiffness and liver steatosis scores were increased among those with vs those without severe features of preeclampsia (P=.03 and P=.04, respectively) CONCLUSION: Reductions in liver stiffness and steatosis from the antepartum to the postpartum period were documented in both the preeclampsia and control groups. However, both these measures were higher in the preeclampsia group and correlated with preeclampsia severity. Larger studies may be able to determine whether transient elastography can predict the severity of preeclampsia or other related metabolic conditions that correlate with chronic hypertension.

Premenopausal Syndrome and NAFLD: A New Approach Based on Gender Medicine

Non-alcoholic fatty liver disease (NAFLD) is a multifactorial condition that affects 25% of the world's population. There is a clear difference in both geographical distribution and sex in childbearing age. These differences are reduced when women become older and senescence begins. The factors that affect the likelihood of developing NAFLD in a premenopausal woman are an imbalance of sex hormones (especially in estradiol and androgen), microbiome dysregulation, insulin resistance, early menarche, the length of time that the woman breastfeeds for and polycystic ovarian syndrome (PCOS). The aim of this review is to identify various physical ailments that may not appear to be serious to young women but that then affect the onset of NAFLD in perimenopause and can degenerate into NASH. These conditions should also be considered in future clinical management, as well as in research opportunities, in order to customize the monitoring and treatment of NAFLD, considering gender medicine for those women who had early metabolic symptoms that were not considered to be significant at the time.

Systematic review with meta-analysis: Non-alcoholic fatty liver disease and the association with pregnancy outcomes

BACKGROUND/AIMS

Maternal and fetal outcomes in pregnant patients with Non-alcoholic fatty liver disease (NAFLD) have been largely unexplored. To determine the level of evidence associated with maternal and fetal outcomes in pregnant women with NAFLD.

METHODS

We conducted a comprehensive literature search. The studies included pregnant patients with a previous, current or subsequent diagnosis of NAFLD. We used a random-effects model using odds ratios (OR) with 95% confidence intervals (CI).

RESULTS

Twenty-two studies, with 13,641 female NAFLD patients were reviewed. The results highlight that NAFLD patients had a statistically significant increased likelihood of baseline diabetes mellitus (OR, 6.00; 95% CI, 2.21-16.31; P<0.001; n=7), baseline Hypertension (OR, 3.75; 95% CI, 2.13-6.59; P<0.001; n=4), gestational hypertension (OR, 1.83; 95% CI, 1.03-3.26; P=0.041; n=2), and pre-eclampsia (OR, 2.43; 95% CI, 1.46-4.04; P=0.001; n=3). The odds for a past and current history of gestational diabetes mellitus were OR, 3.78; 95% CI, 2.21-6.44; P<0.001; n=5 and OR, 3.23; 95% CI, 1.97- 5.31; P<0.001; n=6, respectively. As for fetal outcomes, pregnant NAFLD patients were significantly more likely to have a premature birth (OR, 2.02; 95% CI, 1.44-2.85; P<0.001; n=4), large for gestational age birth (OR, 2.01; 95% CI, 1.72-2.37; P<0.001; n=2) or a history of prior miscarriage or abortion (OR, 1.15; 95% CI, 1.02-1.30; P=0.02; n=2). Egger's regression revealed no evidence of publication bias (P>0.05).

CONCLUSION

This meta-analysis provides pooled evidence that NAFLD is associated with a substantial increase in maternal diabetic and hypertensive complications and multiple adverse fetal outcomes. This data is important for clinicians managing these patients before, during and after pregnancy.

Metabolic associated fatty liver disease and adverse maternal and fetal outcomes: a systematic review and meta-analysis

Aim of the study

Metabolic-associated fatty liver disease (MAFLD) is now the most prevalent chronic liver disease in the world. Its prevalence in women of reproductive age is approximately 10%. Due to its high prevalence in this specific population, it is important to investigate adverse maternal and fetal outcomes caused by MAFLD during pregnancy. We aimed to summarize the association between MAFLD and adverse maternal and fetal outcomes.

Material and methods

A search was conducted on PubMed and ProQuest from inception to April 1, 2021, for studies assessing the association between MAFLD and adverse maternal and fetal outcomes. The quality of included studies was assessed using the Newcastle-Ottawa scale (NOS). We analyzed the pooled odds ratios (ORs) with 95% confidence intervals (CIs) using a fixed and random-effects model. Heterogeneity was assessed using I².

Results

Six studies comprising 20,535,994 (5,964 MAFLD) pregnant women were included. The quality of studies ranged from 6 to 8 stars. MAFLD was significantly associated with increased risk of dysglycemia (OR = 3.65, 95% CI = 2.47-5.39), pregnancy-associated hypertension (OR = 3.27, 95% CI = 2.75-3.88), cesarean section (OR = 2.78, 95% CI = 1.60-4.83), and preterm birth (OR = 1.70, 95% CI = 1.37-2.10) but not large for gestational age (OR = 1.69, 95% CI = 0.64-4.45).

Conclusions

The presence of MAFLD is associated with adverse maternal and fetal outcomes.

Nonalcoholic fatty liver disease and early prediction of gestational diabetes using machine learning methods

Background/Aims

To develop an early prediction model for gestational diabetes mellitus (GDM) using machine learning and to evaluate whether the inclusion of nonalcoholic fatty liver disease (NAFLD)-associated variables increases the performance of model.

Methods

This prospective cohort study evaluated pregnant women for NAFLD using ultrasound at 10–14 weeks and screened them for GDM at 24–28 weeks of gestation. The clinical variables before 14 weeks were used to develop prediction models for GDM (setting 1, conventional risk factors; setting 2, addition of new risk factors in recent guidelines; setting 3, addition of routine clinical variables; setting 4, addition of NALFD-associated variables, including the presence of NAFLD and laboratory results; and setting 5, top 11 variables identified from a stepwise variable selection method). The predictive models were constructed using machine learning methods, including logistic regression, random forest, support vector machine, and deep neural networks.

Results

Among 1,443 women, 86 (6.0%) were diagnosed with GDM. The highest performing prediction model among settings 1–4 was setting 4, which included both clinical and NAFLD-associated variables (area under the receiver operating characteristic curve [AUC] 0.563–0.697 in settings 1–3 vs. 0.740–0.781 in setting 4). Setting 5, with top 11 variables (which included NAFLD and hepatic steatosis index), showed similar predictive power to setting 4 (AUC 0.719–0.819 in setting 5, P=not significant between settings 4 and 5).

Conclusions

We developed an early prediction model for GDM using machine learning. The inclusion of NAFLD-associated variables significantly improved the performance of GDM prediction. (ClinicalTrials.gov Identifier: NCT02276144)