The Effects of Hyperemesis Gravidarum on the Oral Glucose Tolerance Test Values and Gestational Diabetes

Blood-Based Clinical Biomarkers of Inflammation and Nutrition in Hyperemesis Gravidarum

Background: In this study, the aim was to investigate blood-based clinical biomarkers of inflammation and nutrition indices in hyperemesis gravidarum (HG). Methods: This retrospective case-control study was conducted at a tertiary hospital between 2018 and 2022. A total of 820 pregnant women were enrolled in this study; 410 pregnant women were diagnosed with HG (HG group) at 6-14 weeks of gestation, and 410 pregnant women were healthy controls (control group) in the same gestational weeks. Patients' demographic and clinical characteristics and laboratory parameters were recorded. The hemoglobin, albumin, lymphocyte, and platelet (HALP) score, the modified-HALP (m-HALP) score, and the prognostic nutritional index (PNI) were calculated. Results: The HALP score (32.6 (IQR: 24.9-41.5) vs. 39.2 (IQR: 30.8-49.2), p < 0.001) and the PNI score (50 (IQR: 46.3-53.6) vs. 51.3 (IQR: 48.6-53.8), p < 0.001) were significantly lower in the HG group, whereas the m-HALP score was similar between the groups. The HALP score had an AUC of 0.625 (95% CI: 0.586-0.664), with the optimal cut-off value set at 35.8, resulting in a sensitivity of 59.7% and a specificity of 59.5% (p < 0.001). Similarly, the PNI score showed an AUC of 0.580 (95% CI: 0.541-0.619), and the optimal cut-off value was set at 50.6, resulting in a sensitivity of 54.9% and a specificity of 54.9% (p < 0.001). In regression analysis, lower HALP scores (OR: 0.906, 95% CI: 0.833-0.984, p = 0.019) and lower PNI scores (OR: 0.941, 95% CI: 0.891-0.995, p = 0.033) were significantly associated with HG, highlighting their potential as diagnostic markers. Additionally, a negative statistically significant correlation was observed between PNI scores and ketonuria (r = -0.073, p = 0.036). Conclusions: This study demonstrated a decrease in the HALP score and PNI score in cases of HG. However, the m-HALP score was similar in the HG and control groups.

Evaluation of controlling nutritional status (CONUT) score in the prognosis of hyperemesis gravidarum

OBJECTIVE

To investigate the predictive value of the Controlling Nutritional Status (CONUT) score on hyperemesis gravidarum (HG) severity, hospitalization, and length of stay.

MATERIALS AND METHODS

This retrospective cross-sectional study, conducted between December 2022 and June 2023, involved two groups. Group 1 comprised 52 pregnant women diagnosed with HG in the first trimester, receiving hospitalization and treatment. Group 2 included 105 pregnant women diagnosed with HG in the first trimester, managed and treated as outpatients. The CONUT score was calculated with the formula: Serum albumin score + total lymphocyte score + total cholesterol score. This score is calculated with a number of points between 0 and 12. The interpretation of the score involves four categories: normal (0-1), light (2-4), moderate (5-8), and severe (9-12).

RESULTS

The CONUT score differed significantly between the hospitalized (4, IQR: 2.25-5) and outpatient groups (2, IQR: 2-3) (p < 0.001). A CONUT score >3 was associated with the need for hospitalization, demonstrating a sensitivity of 60%, a specificity of 84% (p < 0.001). The CONUT score was the parameter with the highest odds ratio (OR) value among the parameters related to the need for hospitalization, and each unit increase in the CONUT score increased the need for hospitalization by 1.683 times [OR = 1.683 (95% CI: 1.042-2.718), p = 0.033]. A positive correlation was found between the CONUT score and the duration of hospital stay (r = 0.316, p = 0.023).

CONCLUSIONS

This study suggests CONUT score as a valuable tool for predicting HG severity, hospitalization need, and duration of hospital stay.

Triglyceride-glucose index in early pregnancy predicts the risk of gestational diabetes: a prospective cohort study

OBJECTIVE

This study aimed to investigate the association between the triglyceride-glucose (TyG) index in early pregnancy and the development of gestational diabetes mellitus (GDM) in the second trimester. The primary objectives were to evaluate the predictive potential of the TyG index for GDM, determine the optimal threshold value of the TyG index for GDM assessment, and compare the predictive performance of the TyG index alone versus its combination with maternal age and pre-pregnancy body mass index on GDM. Moreover, the study explored the association between the TyG index in early pregnancy and the risk of other pregnancy-related complications (PRCs), such as placental abruption and gestational hypertension.

PATIENTS AND METHODS

This prospective cohort study recruited 1,624 pregnant women who underwent early pregnancy antenatal counseling and comprehensive assessments with continuous monitoring until delivery. To calculate the TyG index, health indicators, including maternal triglycerides and fasting plasma glucose, were measured in early pregnancy (< 14 weeks of gestation). The predictive power of the TyG index for evaluating GDM in Chinese pregnant women was determined using multifactorial logistic regression to derive the odds ratios and 95% confidence interval (CI). Subgroup analyses were conducted, and the efficacy of the TyG index in predicting PRCs was assessed via receiver operating characteristic (ROC) curve analysis and restricted cubic spline, with the optimal cutoff value calculated.

RESULTS

Logistic regression analyses revealed a 2.10-fold increase in the GDM risk for every 1-unit increase in the TyG index, after adjusting for covariates. The highest GDM risk was observed in the group with the highest TyG index compared with the lowest quintile group (odds ratios: 3.25; 95% CI: 2.23-4.75). Subgroup analyses indicated that exceeding the recommended range of gestational weight gain and an increased GDM risk were significantly associated (P = 0.001). Regarding predictive performance, the TyG index exhibited the highest area under the curve (AUC) value in the ROC curve for GDM (AUC: 0.641, 95% CI: 0.61-0.671). The optimal cutoff value was 8.890, with both sensitivity and specificity of 0.617.The combination of the TyG index, maternal age, and pre-pregnancy body mass index proved to be a superior predictor of GDM than the TyG index alone (AUC: 0.672 vs. 0.641, P < 0.01). After adjusting for multiple factors, the analyses indicated that the TyG index was associated with an increased risk of gestational hypertension. However, no significant association was noted between the TyG index and the risk of preeclampsia, placental abruption, intrauterine distress, or premature rupture of membranes.

CONCLUSION

The TyG index can effectively identify the occurrence of GDM in the second trimester, aligning with previous research. Incorporating the TyG index into routine clinical assessments of maternal health holds significant practical implications. Early identification of high-risk groups enables healthcare providers to implement timely interventions, such as increased monitoring frequency for high-risk pregnant women and personalized nutritional counseling and health education. These measures can help prevent or alleviate potential maternal and infant complications, thereby enhancing the overall health outcomes for both mothers and babies.

Perinatal outcomes of infants born to mothers with hyperemesis gravidarum: A systematic review and meta-analysis

BACKGROUND

Hyperemesis gravidarum is the severe form of nausea and vomiting during pregnancy and can lead to undernutrition and low maternal weight gain. Previous epidemiologic and animal studies have shown that undernutrition and low maternal weight gain in pregnancy can increase the risk of unfavorable perinatal outcomes, like shorter gestational age, small for gestational age and lower weight at birth.

OBJECTIVE

To evaluate the effect of hyperemesis gravidarum on perinatal outcomes.

SEARCH STRATEGY

OVID Medline and Embase were searched from inception to February 9th, 2022.

STUDY ELIGIBILITY

Studies reporting on perinatal outcomes of infants born to mothers with hyperemesis gravidarum or severe nausea and vomiting in pregnancy were included. Case reports, case series, animal studies, reviews, editorials and conference abstracts were excluded.

DATA COLLECTION AND ANALYSIS

Two reviewers independently selected and extracted data. Risk of bias was assessed by the Newcastle-Ottawa Quality Assessment Scale. We conducted meta-analyses where possible.

RESULTS

Our search yielded 1387 unique papers, of which 61 studies (n = 20,532,671 participants) were included in our systematic review. Meta-analyses showed that hyperemesis gravidarum was associated with preterm birth < 34 weeks (2 studies n = 2,882: OR 2.81, 95 %CI: 1.69-4.67), birth weight < 1500 g (2 studies, n = 489,141: OR 1.43, 95 %CI: 1.02-1.99), neonatal resuscitation (2 studies, n = 4,289,344: OR 1.07, 95 %CI: 1.05-1.10), neonatal intensive care unit admission (7 studies, n = 6,509,702: OR 1.20, 95 %CI: 1.14-1.26) and placental abruption (6 studies, n = 9,368,360: OR 1.15, 95 %CI: 1.05-1.25). Hyperemesis gravidarum was associated with reductions in birthweight > 4000 g (2 studies, n = 5,503,120: OR 0.74, 95 %CI: 0.72-0.76) and stillbirth (9 studies, n = 3,973,154: OR 0.92, 95 %CI: 0.85-0.99). Meta-analyses revealed no association between hyperemesis gravidarum and Apgar scores < 7 at 1 and 5 min; fetal loss, perinatal deaths and neonatal deaths.

CONCLUSION

Hyperemesis gravidarum is associated with several adverse perinatal outcomes including low birth weight and preterm birth. We also found that pregnancies complicated by hyperemesis gravidarum less frequently were complicated by macrosomia and stillbirth. We were unable to investigate underlying mechanisms.