Original Paper
Abstract
Background: As a severe morbidity during pregnancy, the etiology of spontaneous pregnancy loss (SPL) remains largely unknown. Serum glycated hemoglobin (HbA1c) level is an established predictor of SPL risk among women with diabetes, but little is known about whether such an association exists among pregnant women without diabetes when glycemic levels are within the normal range.
Objective: This study aimed to quantify the association between maternal HbA1c levels in early pregnancy and subsequent SPL risk in a cohort of pregnant women without diabetes.
Methods: This prospective cohort study involved 10,773 pregnant women without diabetes enrolled at their first antenatal care visit at a hospital’s early pregnancy clinic from March 2016 to December 2018 in Shanghai, China. HbA1c and fasting blood glucose (FBG) levels were examined at enrollment. Participants with diabetes before or pregnancy or those diagnosed with gestational diabetes were excluded. Diagnosis of SPL, defined as fetal death occurring before 28 gestational weeks, was derived from medical records and confirmed via telephone interviews. We used generalized linear models to quantify the associations of continuous and dichotomized maternal HbA1c levels with SPL risk and reported crude and adjusted risk ratios (RRs) and 95% CIs. A restricted cubic spline (RCS) regression model was used to assess the potential nonlinear dose-response relationship. Adjusted covariates included maternal age, education level, preconception BMI, gestational weeks, gravidity, history of adverse pregnancy outcomes, family history of diabetes, folic acid supplementation, and smoking and drinking during the periconception period.
Results: In total, 273 (2.5%) SPL cases occurred. Every 0.5% increase in HbA1c levels was linearly associated with a 23% increase in SPL risk (adjusted RR [aRR] 1.23; 95% CI 1.01-1.50). The RCS model revealed that this association was linear (P=.77 for the nonlinearity test). Analyses based on dichotomized HbA1c levels showed a significantly increased risk of SPL when HbA1c levels were ≥5.9% (aRR 1.67; 95% CI 0.67-3.67), and the significance threshold was ≥5.6% (aRR 1.60; 95% CI 1.01-2.54). Sensitivity analyses showed similar results when including the participants with missing SPL records or HbA1c data. Linear associations of HbA1c levels remained significant even in the subgroups without overweight, alcohol consumption, and a family history of diabetes and adverse pregnancy outcomes. Every 1 mmol/L increment in maternal FBG levels was associated with a >2-fold higher risk of SPL (aRR 2.12; 95% CI 1.61-2.80; P<.001).
Conclusions: Higher HbA1c levels in early pregnant women without diabetes are associated with an increased SPL risk in a dose-response manner. Pregnant women with an HbA1c level above 5.6% at early gestation need attention for its potentially increased risk for SPL. Our findings support the need to monitor HbA1c levels to identify individuals at high risk of subsequent SPL in the general population of pregnant women.
Trial Registration: ClinicalTrials.gov NCT02737644; https://clinicaltrials.gov/study/NCT02737644
doi:10.2196/46986
Keywords
Introduction
Spontaneous pregnancy loss (SPL), also known as spontaneous abortion, is one of the serious morbidities during pregnancy and precedes an increased risk of reduced fertility, long-term depression, and anxiety among pregnant women [
]. As the definition of SPL varies between countries and international organizations, estimates of the prevalence of SPL vary among previous studies [ ]. Data from a large nationally representative survey from the United States showed that approximately 20% of clinically recognized pregnancies ended in SPL (including stillbirths and ectopic or tubal pregnancies) during the whole gestation period [ ]. Pregnancy losses from the first antenatal care visit to that at 28 weeks’ gestation are recorded in practice in China [ , ]. A nationwide study with 6.4 million medical records of Chinese pregnant women reported 2.8% of pregnancy losses before 28 weeks of gestation [ ]. To date, the mechanism underlying the etiology of SPL remains largely unknown, and over 50% of women with SPL have no identified risk factors [ , ].Poor glycemic control during pregnancy is an established independent predictor for adverse pregnancy outcomes [
]. Serum glycated hemoglobin (HbA1c) levels are conventionally used for monitoring blood glucose control [ ]. According to the American Diabetes Association’s (ADA’s) clinical practice guidelines, individuals with HbA1c levels within 5.7%-6.4% and ≥6.5% are classified as having prediabetes and diabetes, respectively, in the general population, and HbA1c levels of 5.9% and higher in pregnant women are considered an early indicator of abnormal glucose metabolism and a higher risk of adverse pregnancy and neonatal outcomes [ ]. Previous studies have reported associations of HbA1c levels of pregnant women with insulin-dependent diabetes and SPL risk [ - ]. However, little is known about these associations in pregnant women without diabetes.An HbA1c test at the first prenatal visit has been recommended for those at risk of developing gestational diabetes only, including having obesity and having a family history of gestational diabetes, but not yet for the general population of pregnant women [
, , ]. In this prospective cohort study, we aimed to evaluate whether HbA1c levels in pregnant women without diabetes are associated with a subsequent SPL risk.Methods
Study Population
Pregnant women included in this study were a subcohort of the ongoing Shanghai Preconception Cohort Study (SPCC; ClinicalTrials.gov NCT02737644) [
], who were enrolled between March 2016 and December 2018 from one of the study sites—a tertiary maternity hospital where HbA1c and fasting blood glucose (FBG) levels were routinely examined at the first antenatal visit for all pregnant women. This maternity hospital is one of the largest delivery hospitals (with >20,000 births per year) during the study period and accounts for over 20% of the annual deliveries in the city. Participants were enrolled at their first antenatal visit at early pregnancy clinics, and each woman had only one medical record for this study. Biochemistry and SPL diagnosis data were extracted from the hospital’s electronic medical record system. Among all pregnant women during the study period (N=13,129), 10,773 were eligible for the primary analysis after the exclusion of those who met any one of the following criteria: missing medical records after the first antenatal visit, missing information regarding HbA1c or FBG levels at entry, having received artificial abortions, self-reported diabetes before pregnancy (ie, an HbA1c level of ≥6.5% or FBG level of ≥7.0 mmol/L at the first antenatal visit), or having received insulin treatment during pregnancy or taking oral hypoglycemic drugs before or during pregnancy. We defined this group as pregnant women without diabetes.Ethical Considerations
Ethics approval for this study was sought from the institutional Ethics Committee of the Children’s Hospital of Fudan University (2016–49). Written informed consent was obtained from all participants before recruitment. All data were anonymously analyzed.
Exposures and Covariates
We treated the fasting HbA1c levels in early pregnancy as the main exposure in this study. Given that FBG levels are also an index of glycemic control, both HbA1c and FBG levels were abstracted from the medical records for analyses. According to the routine practice of the hospital where this subcohort was recruited, HbA1c and FBG levels were measured in 2 hours using a venous blood sample after overnight fasting (>8 hours of fasting) at their first antenatal care visit. Venous blood for the HbA1c test was collected in an EDTA-containing tube and determined using high-performance liquid chromatography (Bio-Rad) in the hospital’s certified standard clinical examination center following standard protocols.
A series of variables regarding known or suspected risk factors for SPL were considered covariates in the association analysis [
]. As described elsewhere, demographic characteristics and pregnancy history of the participants upon enrollment were collected through a prespecified standard self-administered questionnaire and an interview with the obstetric nurse during the first antenatal visit. Maternal preconception BMI (pre-BMI) was calculated using self-reported measures of prepregnancy body weight and categorized as normal weight or overweight. We used both the Chinese standard (≥24 kg/m2) and the international standard (≥25 kg/m2) to define the overweight status [ , ]. We defined a family history of diabetes as having at least 1 first-degree relative diagnosed with diabetes. Smoking exposure and alcohol drinking were defined as smoking cigarettes or having been exposed to second-hand cigarette smoke, and as consuming any alcoholic beverages within 3 months before or during the current pregnancy, respectively. Folic acid supplementation (FAS) was defined as having a regular intake of pure folic acid tablets or multivitamins containing folic acid before or during early pregnancy. Gestational weeks at enrollment were routinely determined by the last menstruation period and confirmed through a routine ultrasonographic examination. Participants were defined as having a history of adverse pregnancy outcomes if they had abortions, preterm delivery, stillbirths, or ectopic pregnancy in previous pregnancies.Outcomes
The recorded SPL cases from the hospital’s electronic medical system were fetal deaths occurring before 28 gestational weeks in accordance with the Chinese clinical guidelines [
]. Stillbirth (fetal deaths after 28 gestational weeks), and artificial abortions due to ectopic pregnancies, molar pregnancies, or any clinically recognized disorders were not considered SPL in this study. Trained staff verified these diagnoses through a personal telephone interview with pregnant women or their husbands before the analysis.Statistical Analysis
Continuous variables were reported as mean (SD) values for a normal or approximate normal distribution and median (IQR) values for a skewed distribution, and 2-tailed unpaired Student t tests or Mann-Whitney U tests were used for comparisons between the SPL and non-SPL group, respectively. Normality was visually inspected using frequency histograms. Categorical variables were summarized as frequencies and percentages, and chi-square tests were used for the group comparisons.
Our primary aim was to investigate the associations of HbA1c and FBG levels as continuous variables with SPL risk. We used generalized linear models with binomial family and log link functions treating HbA1c (rescaled through dividing by 0.5) and FBG levels as continuous variables to estimate crude and adjusted risk ratios (aRRs) and 95% CIs. A 0.5% absolute increment was chosen for the HbA1c level because it reflects a clinically important change [
]. Considering that a HbA1c level of 5.9% in early pregnancy has been suggested as the cutoff for identifying women at increased risk of adverse pregnancy outcomes [ ], we further assessed the associations based on dichotomous HbA1c (coded as 1 for a HbA1c level of ≥5.9% and 0 for an HbA1c level of <5.9%). We used a restricted cubic spline (RCS) regression model with 3 knots (5th, 50th, and 95th percentile levels) fitted in R (rms package) to assess the potential nonlinear dose-response relationship of HbA1c levels with SPL risk. Adjusted covariates included maternal age, education level, pre-BMI, gestational week at HbA1c examination, gravidity, history of adverse pregnancy outcomes, family history of diabetes, FAS, and exposure to smoking and drinking during the periconception period.We conducted an exploratory analysis to investigate the HbA1c cutoff indicating pregnant women at an increased risk of SPL by using a series of regression models using HbA1c levels from the median level of the study population (5.1%) to 6.0% in a 0.1% interval without adjustment for multiple testing.
As there were 2147 participants—1360 (10.5%) with missing medical records after the first antenatal visit and 787 (6.1%) with missing HbA1c data—we conducted 2 sensitivity analyses to test the robustness of the main results after multiple imputation with chained equations based on a missing at random assumption. First, we added 1360 pregnant women with missing SPL data after imputation (sensitivity analysis 1: n=10,773+1360). Second, we included 787 pregnant women with missing HbA1c levels at enrollment after imputation (sensitivity analysis 2: n=10,773+787). To ensure that our main results are free from potential bias from unmeasured confounders, we further repeated the primary association analyses within subgroups with a potentially low risk of SPL, including pregnant women younger than 35 years, without overweight, a family history of diabetes, a history of adverse pregnancy outcomes, or smoking or alcohol drinking exposures. Statistical analyses were performed by Stata (version 16.0; StataCorp) and R package (version 3.6.1; The R Foundation), and all statistical tests were 2-sided at a significance level of .05. A post hoc power analysis was performed for the main association analyses of continuous HbA1c levels with SPL risk, which revealed that with the current sample size, associations with a risk ratio (RR) lower than 0.84 or greater than 1.19 for continuous exposures of interest will ensure a power of ≥80% at an α level of 5%.
Results
Characteristics of the Study Population
A total of 10,773 eligible pregnant women were included in the main analysis (
), with a mean age of 30.5 (SD 4.0) years and an average of 10.8 (SD 1.7) weeks of gestation at enrollment ( ). The majority of participants (n=9866, 91.6%) had a college or higher level of education, 4394 (40.9%) had more than 1 gravidity, 2056 (19.1%) had overweight before pregnancy, and 3874 (36.3%) had a family history of diabetes. Smoking and alcohol consumption were reported by 1043 (9.8%) and 857 (8.0%) pregnant women, respectively. Besides, 2817 (26.4%) pregnant women had a history of adverse pregnancy outcomes. The distribution of HbA1c and FBG levels approximately met a normal distribution, with a mean value of 5.09% (SD 0.30%) and 4.49 (SD 0.78) mmol/L, respectively. The 2 markers were weakly correlated (r=.19; P<.001) and overlapped in quartiles (Figure S1 in ). We summarized the characteristics of the 10,773 eligible pregnant women and 2147 women with missing medical records or HbA1c data (Table S1 in ), which were overall similar.Variables | Total sample (N=10,773) | SPLa group (n=273) | Non-SPL group (n=10,500) | P value | |
Ageb (years), mean (SD) | 30.5 (4.0) | 32.0 (4.4) | 30.4 (3.9) | <.001 | |
Pre-BMI (kg/m2), mean (SD) | 21.7 (2.9) | 22.5 (3.0) | 21.7 (2.9) | <.001 | |
Pre-BMI categories, n (%) | |||||
≥24 kg/m2 | 2056 (19.1) | 65 (23.8) | 1991 (19.0) | .047 | |
≥25 kg/m2 | 1347 (12.5) | 47 (17.2) | 1300 (12.4) | .02 | |
Missing | 32 (0.3) | —c | 32 (0.3) | N/Ad | |
Gestational weeks at enrollmente, mean (SD) | 10.8 (1.7) | 10.7 (1.6) | 10.7 (1.7) | .48 | |
Education level, n (%) | .24 | ||||
College and above | 9866 (91.6) | 247 (90.5) | 9619 (92.4) | ||
Below college | 817 (7.6) | 26 (9.5) | 791 (7.6) | ||
Missing | 90 (0.8) | — | 90 (0.8) | ||
Gravidity, n (%) | .26 | ||||
1 | 6357 (59.1) | 149 (54.6) | 6208 (59.2) | ||
2 | 2759 (25.7) | 75 (27.5) | 2684 (25.6) | ||
≥3 | 1635 (15.2) | 49 (18.9) | 1586 (15.1) | ||
Missing | 22 (0.2) | 2 (0.7) | 20 (0.1) | ||
History of adverse pregnancy outcomes, n (%) | 2817 (26.4) | 93 (34.1) | 2724 (26.2) | .003 | |
Missing | 93 (0.9) | 1 (0.4) | 92 (0.9) | N/A | |
Family history of diabetes, n (%) | 3874 (36.3) | 112 (41.0) | 3762 (36.2) | .10 | |
Missing | 104 (1.0) | 5 (1.8) | 99 (0.9) | N/A | |
FASf before or during early pregnancy, n (%) | 8022 (75.1) | 240 (87.9) | 7804 (75.0) | .06 | |
Missing | 90 (0.8) | 4 (1.5) | 86 (0.8) | N/A | |
Smoking exposure, n (%) | 1043 (9.8) | 33 (12.1) | 1010 (9.7) | .19 | |
Missing | 91 (0.8) | 2 (0.7) | 89 (0.8) | N/A | |
Alcohol drinking, n (%) | 857 (8.0) | 19 (7.0) | 838 (8.1) | .51 | |
Missing | 91 (0.8) | 3 (1.1) | 88 (0.8) | N/A | |
FBGg,h (mmol/L), mean (SD) | 4.49 (0.78) | 4.64 (0.39) | 4.48 (0.47) | <.001 | |
FBG≥6.1 mmol/L, n (%) | 29 (.3) | 1 (.4) | 28 (.3) | .75 | |
HbA1ci (%), mean (SD) | 5.09 (0.30) | 5.15 (0.33) | 5.09 (0.30) | .002 | |
HbA1c≥5.9%, n (%) | 126 (1.2) | 6 (2.2) | 120 (1.1) | .03 |
aSPL: spontaneous pregnancy loss.
bAge data were missing for 23 out of 10,773 (0.2%), 3 out of 273 (1.1%), and 20 out of 10,500 (0.2%) pregnant women in the total sample, SPL group, and non-SPL group, respectively.
cNot available.
dN/A: not applicable.
eData for gestational weeks at enrollment were missing for 60 out of 10,773 (0.6%), 2 out of 273 (0.7%), and 58 out of 10,500 (0.5%) pregnant women in the total sample, SPL group, and non-SPL group, respectively.
fFAS: folic acid supplementation.
gFBG: fasting blood glucose.
hFBG levels were ≥6.1% for 29 out of 10,773 (0.3%), 1 out of 273 (0.4%), and 28 out of 10,500 (0.3%) pregnant women in the total sample, SPL group, and non-SPL group, respectively (P=.75).
iHbA1c: serum glycated hemoglobin.
The incidence rate of SPL was 2.5% among 10,773 pregnant women in this study. Compared to pregnant women without SPL, those with SPL were 1.6 years older (mean ages of the SPL and non-SPL groups were 32.0, SD 4.4 vs 30.4, SD 3.9 years, respectively) during pregnancy, were more likely to have overweight before pregnancy (23.8% vs 19.0%), and had higher levels of HbA1c (5.15% SD 0.33% vs 5.09% SD 0.30%; albeit in the clinically normal range) and FBG (4.64, SD 0.39 vs 4.48, SD 0.47 mmol/L) at the first antenatal visit.
Associations Between Maternal HbA1c and FBG Levels and SPL Risk
As shown in
, maternal HbA1c levels showed significant positive associations with SPL risk with an unadjusted RR of 1.34 (95% CI 1.10-1.63) per 0.5% increase in HbA1c levels, and the association remained significant after adjusting for covariates (aRR 1.23, 95% CI 1.01-1.50; P=.04). The RCS model showed a linear association of SPL risk with increasing HbA1c levels through the whole range of HbA1c values (P=.77 for the nonlinearity test; ). No significant association was found between a HbA1c level of ≥5.9% and SPL risk after adjusting for covariates. Every 1 mmol/L increment in maternal FBG levels was associated with a >2-fold higher risk of SPL (aRR 2.12, 95% CI 1.61-2.80; P<.001).Analysis | SPL group/total sample, n/n | Crude model | Adjusted modeld | ||||
Risk ratio (95% CI) | P value | Risk ratio (95% CI) | P value | ||||
Primary analysis | |||||||
HbA1c (per 0.5% increment) | 273/10,773 | 1.34 (1.10-1.63) | .004 | 1.23 (1.01-1.50) | .04 | ||
<5.9% | 267/10,647 | Reference | N/Ae | Reference | N/A | ||
≥5.9% | 6/126 | 1.94 (.85-4.45) | .12 | 1.67 (0.76-3.67) | .20 | ||
FBG (mmol/L) | 273/10,773 | 2.38 (1.82-3.11) | <.001 | 2.12 (1.61-2.80) | <.001 | ||
Sensitivity analysis 1 (Including 1360 pregnant women with missing medical diagnosis records based on imputation) | |||||||
HbA1c (per 0.5% increment) | 306/12,133 | 1.36 (1.11-1.67) | .003 | 1.25 (1.02-1.53) | .03 | ||
<5.9% | 299/11,993 | Reference | N/A | Reference | N/A | ||
≥5.9% | 7/140 | 2.02 (0.93-4.42) | .08 | 1.51 (0.68-3.34) | .31 | ||
Sensitivity analysis 2 (including 787 pregnant women with missing HbA1c levels based on imputation) | |||||||
HbA1c (per 0.5% increment) | 373/11,560 | 1.36 (1.10-1.69) | .005 | 1.25 (1.01-1.55) | .04 | ||
<5.9% | 366/11,430 | Reference | N/A | Reference | N/A | ||
≥5.9% | 7/130 | 1.59 (0.70-3.65) | .27 | 1.42 (0.49-2.67) | .75 |
aHbA1c: serum glycated hemoglobin.
bFBG: fasting blood glucose.
cSPL: spontaneous pregnancy loss.
dAdjusted for age, pre-BMI, gestational weeks, education, gravidity, history of abnormal pregnancy, family history of diabetes, folic acid supplementation, and drinking and smoking status.
eN/A: not applicable.
Sensitivity and Subgroup Analyses
In the first sensitivity analysis including 1360 pregnant women with missing medical diagnosis records, the association between HbA1c levels and SPL risk did not substantially change (aRR per 0.5% increment 1.25, 95% CI 1.02-1.53; P=.03;
). Similar results were also observed in the second sensitivity analysis upon including pregnant women with missing data on HbA1c levels (aRR per 0.5% increment 1.25, 95% CI 1.01-1.55; P=.04).Our exploratory analyses showed that the strength of the associations increased markedly from below 1.2 to 1.6 at an HbA1c level of 5.6% (aRR 1.60; 95% CI 1.01-2.54; P=.048) and increased further at higher cutoff levels, although significance was not achieved at HbA1c levels of 5.9% and 6.0% (Figure S2 in
). In further subgroup analyses including low-SPL risk populations without overweight, alcohol drinking, a family history of diabetes, and a history of adverse pregnancy outcomes, the associations of every 0.5% increase in HbA1c levels with SPL risk remained very similar compared to those in the main analysis (aRR 1.32, 95% CI 1.07-1.63; aRR 1.18, 95% CI 1.01-1.38; aRR 1.24, 95% CI 1.03-1.48; and aRR 1.73, 95% CI 1.26-2.36; respectively; Table S2 in ).Discussion
Principal Findings
In this large prospective cohort study, we provide solid evidence that among pregnant women without diabetes, HbA1c levels in early gestation within the clinically normal range were associated with an increased risk of SPL in a linear dose-response manner. Although far below the recommended threshold for diagnosing gestational diabetes, HbA1c levels may indicate an increased subsequent SPL risk in pregnant women in general. Our findings in a prospective cohort are novel and deepen our understanding of the important pathophysiologic role of impaired maternal glycemic metabolism in the development of SPL.
Comparison With Prior Work
Several studies have investigated the adverse effect of elevated HbA1c levels on SPL risk only among pregnant women with diabetes and have reported conflicting findings [
- , ]. A case-control study including 432 control women and 386 women with type 1 diabetes found that the rate of SPL did not significantly differ between the 2 groups (16.1% vs 16.2%, respectively) [ ]. However, another case-control study among women with type 1 diabetes reported that elevated HbA1c levels were associated with SPL risk [ ]. Another cohort study of 573 women with type 1 diabetes observed a linear association between HbA1c levels and the risk of adverse pregnancy outcomes including SPL when HbA1c levels were >7.0% [ ]. This is the first prospective cohort study demonstrating the link between maternal HbA1c levels in early pregnancy and SPL risk among pregnant women without diabetes. These associations were still significant in the population at a low risk of SPL. We also observed a highly overlapped distribution of FBG levels among HbA1c categories, and consistent associations with SPL were also observed with regard to FBG levels. However, regarding their clinical application, FBG level is a less ideal marker than HbA1c level because the former is less stable, requires a fasting state for examination, and has relatively greater intraindividual variability [ ]. Our findings suggest that attention to glycemic control should not be limited to pregnant women with diabetes but should also include those with high HbA1c levels within the clinical range during early gestation for the related increased risk of SPL.Research Implications
Our study addresses 2 important issues with important clinical and research implications. First, our findings expand on the literature on risk factors for SPL, an adverse pregnancy outcome whose modifiable determinants remain poorly understood. Second, we address a risk factor that is known to be modifiable through lifestyle and pharmacological interventions. Measurement of HbA1c levels during pregnancy is conventionally used to monitor glycemic control in pregnant women with diabetes [
]; this marker is superior to FBG levels, mainly for its greater stability but lesser variability among individuals and its nonrequirement of fasting [ ]. Given the special physiological status of pregnancy, the target HbA1c level for ideal glycemic control remains inconclusive. In China, based on recommendations for the general population, an HbA1c level less than 6.5% is recommended to indicate ideal glycemic control before conception [ ]. An HbA1c level of ≥5.9% is recommended by the ADA’s guidelines as an indicator for screening pregnant women with a higher risk of preeclampsia, macrosomia, shoulder dystocia, and perinatal death [ ]. Our findings add new evidence for the linear relationship between glucose metabolism markers and SPL risk when HbA1c levels are clinically normal [ ], and the magnitudes of the associations are even stronger in those exposed to smoking or those who have a history of adverse pregnancy outcomes.The mechanism underlying the association between maternal HbA1c levels and SPL in women without diabetes remains unclear. Animal studies found that poor glycemic control may facilitate premature programmed cell death of key progenitor cells of the blastocyst and promote pregnancy loss [
]. In addition, poor glycemic control may interfere with implantation by inhibiting trophectoderm differentiation and increasing oxidative stress, thus affecting the expression of critical genes essential for embryogenesis [ , ]. Further population studies exploring the biological mechanisms underlying the association between HbA1c levels and SPL in pregnant women without diabetes are warranted.The findings of our exploratory analysis are clinically relevant, indicating that pregnant women with HbA1c levels above 5.6% need attention for owing to a potentially increased risk of SPL. Given that HbA1c levels are 0.5%-0.6% lower in early pregnancy than in nonpregnant women [
], HbA1c levels over 5.6% at early gestation may reflect an elevated HbA1c status that occurred before or at pregnancy (ie, prediabetes status), which accounts for over 13% of the population [ ]. Another large cohort study and systematic review have reported associations between an HbA1c level of <6.4% with increased severe maternal morbidity and subsequent gestational diabetes mellitus [ , ]. Taken together, based on the aforementioned evidence and our findings, we propose that monitoring of HbA1c levels in early pregnancy is necessary general pregnant women, and HbA1c levels exceeding 5.6% might be considered an indicator of high risk for SPL and additional medical care.Strengths and Limitations
The merits of our study include the prospective nature of the data, the large sample size, and the consistent results from robust analyses, which make our findings convincing. However, several limitations exist. First, residual confounding, such as uterine abnormalities, chromosomal abnormalities, antiphospholipid syndrome, and thyroid disorders, cannot be completely ruled out due to the nature of observational studies. Data on important biomarkers such as insulin levels during early gestation were not available. Second, in the exploratory analyses, we did not correct for multiplicity. Prospective multicenter cohort studies investigating whether a maternal HbA1c level of 5.6% in early pregnancy could indicate an increased risk of SPL are warranted in the future. Third, compared with the rate of clinically registered pregnant women ending in SPL (11%-20%), the SPL rate in this cohort was much lower. Given the nature of the study population, which was recruited at their first antenatal care visit (with a median of 10 weeks of gestation), SPL occurred earlier than our observation was inevitably missed, selection bias exists, and our findings are not generalizable to the entire general population. The study population we selected, comprising pregnant women without diabetes, may include some cases of mild gestational diabetes diagnosed midgestation and without insulin treatment. Moreover, potential biases such as outcome misclassification could not be ruled out from the association analyses based on imputation.
Conclusions
This study is the first to document that maternal HbA1c levels in early pregnancy are associated with the subsequent risk of SPL in a dose-response manner among pregnant women without diabetes. Our findings support the need to monitor HbA1c levels for identifying high risk of subsequent SPL in pregnant women in general and expand on the growing literature linking overall metabolic health to reproductive and pregnancy health among otherwise healthy women.
Acknowledgments
This study is supported by National key research and development program (grant 2021YFC2701004), Natural Science Foundation of China (grants 82070323, 82373584, and 82204051), Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences (grant 2019-I2M-5-002), Shanghai Sailing Program (grant 22YF1403900), and Youth Project of Shanghai Municipal Commission of Health (grant 20214Y0439). The authors gratefully thank all participants in this study. We are grateful for the work of physicians, interviewers, laboratory technicians, and the whole Shanghai Preconception Cohort Study (SPCC) team. Members of the SPCC group are listed in
. We declare that artificial intelligence (AI) was not used in writing any portion of the manuscript.Data Availability
The data supporting the findings of this study are available from the corresponding author upon reasonable request.
Authors' Contributions
WY, GH, and XC conceived the hypothesis. XC performed the statistical analyses and drafted the manuscript. YZ, XM, and WS were involved in recruitment and data collection. YZ, XC, and YW examined biological samples and contributed to data management. HC, WY, and GH verified the underlying data and critically reviewed the manuscript. All authors are involved in the interpretation of the results and approve the manuscript before submission. XC, WY, and GH obtained funding and had full access to all the data. WY and GH are co-corresponding authors.
Conflicts of Interest
None declared.
Additional figures, tables, and information.
DOCX File , 442 KBReferences
- Blackmore ER, Côté-Arsenault D, Tang W, Glover V, Evans J, Golding J, et al. Previous prenatal loss as a predictor of perinatal depression and anxiety. Br J Psychiatry. May 01, 2011;198(5):373-378. [FREE Full text] [CrossRef] [Medline]
- Quenby S, Gallos ID, Dhillon-Smith RK, Podesek M, Stephenson MD, Fisher J, et al. Miscarriage matters: the epidemiological, physical, psychological, and economic costs of early pregnancy loss. Lancet. May 01, 2021;397(10285):1658-1667. [CrossRef] [Medline]
- Rossen LM, Ahrens KA, Branum AM. Trends in risk of pregnancy loss among US women, 1990-2011. Paediatr Perinat Epidemiol. Jan 01, 2018;32(1):19-29. [FREE Full text] [CrossRef] [Medline]
- Writing Group of Chinese Expert Consensus on Diagnosis and Treatment of Spontaneous Abortion. Chinese expert consensus on diagnosis and treatment of spontaneous abortion (2020 edition). Chin J Pract Gynecol Obstet. Dec 10, 2020;11:1082-1090. [FREE Full text] [CrossRef]
- Qiao J, Wang Y, Li X, Jiang F, Zhang Y, Ma J, et al. A Lancet Commission on 70 years of women's reproductive, maternal, newborn, child, and adolescent health in China. Lancet. Jun 26, 2021;397(10293):2497-2536. [CrossRef] [Medline]
- Wei Y, Xu Q, Yang H, Yang Y, Wang L, Chen H, et al. Preconception diabetes mellitus and adverse pregnancy outcomes in over 6.4 million women: a population-based cohort study in China. PLoS Med. Oct 01, 2019;16(10):e1002926-e1002941. [FREE Full text] [CrossRef] [Medline]
- Alijotas-Reig J, Garrido-Gimenez C. Current concepts and new trends in the diagnosis and management of recurrent miscarriage. Obstet Gynecol Surv. Jun 01, 2013;68(6):445-466. [CrossRef] [Medline]
- van Dijk MM, Kolte AM, Limpens J, Kirk E, Quenby S, van Wely M, et al. Recurrent pregnancy loss: diagnostic workup after two or three pregnancy losses? A systematic review of the literature and meta-analysis. Hum Reprod Update. Apr 15, 2020;26(3):356-367. [FREE Full text] [CrossRef] [Medline]
- HAPO Study Cooperative Research Group; Metzger BE, Lowe LP, Dyer AR, Trimble ER, Chaovarindr U, et al. Hyperglycemia and adverse pregnancy outcomes. N Engl J Med. May 08, 2008;358(19):1991-2002. [CrossRef] [Medline]
- Weykamp C. HbA1c: a review of analytical and clinical aspects. Ann Lab Med. Nov 01, 2013;33(6):393-400. [FREE Full text] [CrossRef] [Medline]
- American Diabetes Association Professional Practice Committee. 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2022. Diabetes Care. Jan 01, 2022;45(Suppl 1):S17-S38. [CrossRef] [Medline]
- Mills JL, Simpson JL, Driscoll SG, Jovanovic-Peterson L, Van Allen M, Aarons JH, et al. Incidence of spontaneous abortion among normal women and insulin-dependent diabetic women whose pregnancies were identified within 21 days of conception. N Engl J Med. Dec 22, 1988;319(25):1617-1623. [CrossRef] [Medline]
- Hanson U, Persson B, Thunell S. Relationship between haemoglobin A1C in early type 1 (insulin-dependent) diabetic pregnancy and the occurrence of spontaneous abortion and fetal malformation in Sweden. Diabetologia. Feb 01, 1990;33(2):100-104. [CrossRef] [Medline]
- Nielsen GL, Møller M, Sørensen HT. HbA1c in early diabetic pregnancy and pregnancy outcomes: a Danish population-based cohort study of 573 pregnancies in women with type 1 diabetes. Diabetes Care. Dec 01, 2006;29(12):2612-2616. [CrossRef] [Medline]
- Goyal A, Gupta Y, Singla R, Kalra S, Tandon N. American Diabetes Association "Standards of Medical Care-2020 for Gestational Diabetes Mellitus": a critical appraisal. Diabetes Ther. Aug 01, 2020;11(8):1639-1644. [FREE Full text] [CrossRef] [Medline]
- Jia W, Weng J, Zhu D, Ji L, Lu J, Zhou Z, et al. Chinese Diabetes Society. Standards of medical care for type 2 diabetes in China 2019. Diabetes Metab Res Rev. Sep 01, 2019;35(6):e3158-e3184. [CrossRef] [Medline]
- Wang D, Zhang Y, Jiang Y, Ye Y, Ji M, Dou Y, et al. SPCC group. Shanghai Preconception Cohort (SPCC) for the association of periconceptional parental key nutritional factors with health outcomes of children with congenital heart disease: a cohort profile. BMJ Open. Nov 24, 2019;9(11):e031076-e031085. [FREE Full text] [CrossRef] [Medline]
- American College of Obstetricians and Gynecologists' Committee on Practice Bulletins—Gynecology. ACOG Practice Bulletin No. 200: Early Pregnancy Loss. Obstet Gynecol. Nov 01, 2018;132(5):e197-e207. [CrossRef] [Medline]
- Wang Y, Mi J, Shan X, Wang QJ, Ge K. Is China facing an obesity epidemic and the consequences? The trends in obesity and chronic disease in China. Int J Obes (Lond). Jan 01, 2007;31(1):177-188. [CrossRef] [Medline]
- Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, International Diabetes Federation Task Force on Epidemiology and Prevention; Hational Heart‚ Lung‚ and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; et al. International Association for the Study of Obesity. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. Oct 20, 2009;120(16):1640-1645. [CrossRef] [Medline]
- Little RR, Rohlfing CL. The long and winding road to optimal HbA1c measurement. Clin Chim Acta. Mar 15, 2013;418:63-71. [FREE Full text] [CrossRef] [Medline]
- Greene MF, Hare JW, Cloherty JP, Benacerraf BR, Soeldner JS. First-trimester hemoglobin A1 and risk for major malformation and spontaneous abortion in diabetic pregnancy. Teratology. Mar 01, 1989;39(3):225-231. [CrossRef] [Medline]
- American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care. Jan 01, 2010;33 Suppl 1(Suppl 1):S62-S69. [FREE Full text] [CrossRef] [Medline]
- Hughes RCE, Rowan J, Florkowski CM. Is there a role for HbA1c in pregnancy? Curr Diab Rep. Jan 06, 2016;16(1):5-15. [CrossRef] [Medline]
- Chinese Diabetes Society; Dalong Z. Guideline for the prevention and treatment of type 2 diabetes mellitus in China (2020 edition). Chin J Diabetes Mellitus. Apr 25, 2021;13(4):317-332. [FREE Full text] [CrossRef]
- Moley KH, Chi MM, Knudson CM, Korsmeyer SJ, Mueckler MM. Hyperglycemia induces apoptosis in pre-implantation embryos through cell death effector pathways. Nat Med. Dec 24, 1998;4(12):1421-1424. [CrossRef] [Medline]
- Saisho Y. β-cell dysfunction: Its critical role in prevention and management of type 2 diabetes. World J Diabetes. Feb 15, 2015;6(1):109-124. [FREE Full text] [CrossRef] [Medline]
- Robajac D, Masnikosa R, Miković Ž, Mandić V, Nedić O. Oxidation of placental insulin and insulin-like growth factor receptors in mothers with diabetes mellitus or preeclampsia complicated with intrauterine growth restriction. Free Radic Res. Apr 25, 2015;49(8):984-989. [CrossRef] [Medline]
- Yu H, Qi X, Wang X. Application of glycated hemoglobin in the perinatal period. Int J Clin Exp Med. Dec 30, 2014;7(12):4653-4659. [FREE Full text] [Medline]
- Davidson AJF, Park AL, Berger H, Aoyama K, Harel Z, Cook JL, et al. Risk of severe maternal morbidity or death in relation to elevated hemoglobin A1c preconception, and in early pregnancy: A population-based cohort study. PLoS Med. May 19, 2020;17(5):e1003104-e1003122. [FREE Full text] [CrossRef] [Medline]
- Kattini R, Hummelen R, Kelly L. Early gestational diabetes mellitus screening with glycated hemoglobin: a systematic review. J Obstet Gynaecol Can. Nov 01, 2020;42(11):1379-1384. [CrossRef] [Medline]
Abbreviations
ADA: American Diabetes Association |
aRR: adjusted risk ratio |
FAS: folic acid supplementation |
FBG: fasting blood glucose |
HbA1c: serum glycated hemoglobin |
Pre-BMI: preconception BMI |
RCS: restricted cubic spline |
RR: risk ratio |
SPCC: Shanghai Preconception Cohort Study |
SPL: spontaneous pregnancy loss |
Edited by A Mavragani, T Sanchez; submitted 04.03.23; peer-reviewed by C Shen, Z Liang, H Inadera; comments to author 18.09.23; revised version received 27.09.23; accepted 02.11.23; published 12.12.23.
Copyright©Xiaotian Chen, Yi Zhang, Hongyan Chen, Yalan Dou, Yin Wang, Wennan He, Xiaojing Ma, Wei Sheng, Weili Yan, Guoying Huang. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 12.12.2023.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.