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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JPH</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Public Health Surveill</journal-id>
      <journal-title>JMIR Public Health and Surveillance</journal-title>
      <issn pub-type="epub">2369-2960</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">v9i1e46986</article-id>
      <article-id pub-id-type="pmid">38085559</article-id>
      <article-id pub-id-type="doi">10.2196/46986</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Paper</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Original Paper</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Association Between Serum Glycated Hemoglobin Levels at Early Gestation and the Risk of Subsequent Pregnancy Loss in Pregnant Women Without Diabetes Mellitus: Prospective Cohort Study</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Mavragani</surname>
            <given-names>Amaryllis</given-names>
          </name>
        </contrib>
        <contrib contrib-type="editor">
          <name>
            <surname>Sanchez</surname>
            <given-names>Travis</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Shen</surname>
            <given-names>Chong</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Liang</surname>
            <given-names>Zhaoxia</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Inadera</surname>
            <given-names>Hidekuni</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author">
          <name name-style="western">
            <surname>Chen</surname>
            <given-names>Xiaotian</given-names>
          </name>
          <degrees>MSc</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-0791-5364</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author">
          <name name-style="western">
            <surname>Zhang</surname>
            <given-names>Yi</given-names>
          </name>
          <degrees>MPH</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-1132-0037</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Chen</surname>
            <given-names>Hongyan</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-2264-3034</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>Dou</surname>
            <given-names>Yalan</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-4414-4730</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author">
          <name name-style="western">
            <surname>Wang</surname>
            <given-names>Yin</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-4491-7465</ext-link>
        </contrib>
        <contrib id="contrib6" contrib-type="author">
          <name name-style="western">
            <surname>He</surname>
            <given-names>Wennan</given-names>
          </name>
          <degrees>MSc</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-8292-3997</ext-link>
        </contrib>
        <contrib id="contrib7" contrib-type="author">
          <name name-style="western">
            <surname>Ma</surname>
            <given-names>Xiaojing</given-names>
          </name>
          <degrees>MD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0009-0007-6359-0019</ext-link>
        </contrib>
        <contrib id="contrib8" contrib-type="author">
          <name name-style="western">
            <surname>Sheng</surname>
            <given-names>Wei</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-7473-0864</ext-link>
        </contrib>
        <contrib id="contrib9" contrib-type="author" corresp="yes" equal-contrib="yes">
          <name name-style="western">
            <surname>Yan</surname>
            <given-names>Weili</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>Department of Clinical Epidemiology &#38; Clinical Trial Unit</institution>
            <institution>Children’s Hospital of Fudan University</institution>
            <institution>National Children’s Medical Center</institution>
            <addr-line>399 Wan Yuan Road</addr-line>
            <addr-line>Shanghai, 201102</addr-line>
            <country>China</country>
            <fax>86 021 64931215</fax>
            <phone>86 021 64931215</phone>
            <email>yanwl@fudan.edu.cn</email>
          </address>
          <xref rid="aff3" ref-type="aff">3</xref>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-7633-7449</ext-link>
        </contrib>
        <contrib id="contrib10" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Huang</surname>
            <given-names>Guoying</given-names>
          </name>
          <degrees>MD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-0505-5839</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Department of Clinical Epidemiology &#38; Clinical Trial Unit</institution>
        <institution>Children’s Hospital of Fudan University</institution>
        <institution>National Children’s Medical Center</institution>
        <addr-line>Shanghai</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Pediatric Heart Center</institution>
        <institution>Children’s Hospital of Fudan University</institution>
        <institution>National Children’s Medical Center</institution>
        <addr-line>Shanghai</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>Shanghai Key Laboratory of Birth Defects, Children’s Hospital of Fudan University</institution>
        <addr-line>Shanghai</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution>Research Unit of Early Intervention of Genetically Related Childhood Cardiovascular Diseases (2018RU002)</institution>
        <institution>Chinese Academy of Medical Sciences</institution>
        <addr-line>Shanghai</addr-line>
        <country>China</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Weili Yan <email>yanwl@fudan.edu.cn</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2023</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>12</day>
        <month>12</month>
        <year>2023</year>
      </pub-date>
      <volume>9</volume>
      <elocation-id>e46986</elocation-id>
      <history>
        <date date-type="received">
          <day>4</day>
          <month>3</month>
          <year>2023</year>
        </date>
        <date date-type="rev-request">
          <day>18</day>
          <month>9</month>
          <year>2023</year>
        </date>
        <date date-type="rev-recd">
          <day>27</day>
          <month>9</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>2</day>
          <month>11</month>
          <year>2023</year>
        </date>
      </history>
      <copyright-statement>©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.</copyright-statement>
      <copyright-year>2023</copyright-year>
      <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
        <p>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.</p>
      </license>
      <self-uri xlink:href="https://publichealth.jmir.org/2023/1/e46986" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>As a severe morbidity during pregnancy, the etiology of spontaneous pregnancy loss (SPL) remains largely unknown. Serum glycated hemoglobin (HbA<sub>1c</sub>) 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.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>This study aimed to quantify the association between maternal HbA<sub>1c</sub> levels in early pregnancy and subsequent SPL risk in a cohort of pregnant women without diabetes.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>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. HbA<sub>1c</sub> 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 HbA<sub>1c</sub> 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.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>In total, 273 (2.5%) SPL cases occurred. Every 0.5% increase in HbA<sub>1c</sub> 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 (<italic>P</italic>=.77 for the nonlinearity test). Analyses based on dichotomized HbA<sub>1c</sub> levels showed a significantly increased risk of SPL when HbA<sub>1c</sub> 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 HbA<sub>1c</sub> data. Linear associations of HbA<sub>1c</sub> 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 &#62;2-fold higher risk of SPL (aRR 2.12; 95% CI 1.61-2.80; <italic>P</italic>&#60;.001).</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>Higher HbA<sub>1c</sub> levels in early pregnant women without diabetes are associated with an increased SPL risk in a dose-response manner. Pregnant women with an HbA<sub>1c</sub> level above 5.6% at early gestation need attention for its potentially increased risk for SPL. Our findings support the need to monitor HbA<sub>1c</sub> levels to identify individuals at high risk of subsequent SPL in the general population of pregnant women.</p>
        </sec>
        <sec sec-type="trial registration">
          <title>Trial Registration</title>
          <p>ClinicalTrials.gov NCT02737644; https://clinicaltrials.gov/study/NCT02737644</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>glycated hemoglobin</kwd>
        <kwd>hemoglobin A1c</kwd>
        <kwd>spontaneous pregnancy loss</kwd>
        <kwd>gynecology</kwd>
        <kwd>gynecological</kwd>
        <kwd>obstetric</kwd>
        <kwd>obstetrics</kwd>
        <kwd>prospective cohort study</kwd>
        <kwd>cohort</kwd>
        <kwd>risk</kwd>
        <kwd>risks</kwd>
        <kwd>miscarriage</kwd>
        <kwd>miscarriages</kwd>
        <kwd>adverse outcome</kwd>
        <kwd>adverse outcomes</kwd>
        <kwd>risk ratio</kwd>
        <kwd>pregnant women</kwd>
        <kwd>pregnancy loss</kwd>
        <kwd>gestational diabetes</kwd>
        <kwd>fetal death</kwd>
        <kwd>glycemic control</kwd>
        <kwd>women</kwd>
        <kwd>diabetes</kwd>
        <kwd>diabetic</kwd>
        <kwd>HbA1c</kwd>
        <kwd>gestational</kwd>
        <kwd>maternal</kwd>
        <kwd>fetus</kwd>
        <kwd>fetal</kwd>
        <kwd>HbA1c levels</kwd>
        <kwd>metabolic health</kwd>
        <kwd>pregnant</kwd>
        <kwd>pregnancy</kwd>
        <kwd>association</kwd>
        <kwd>associations</kwd>
        <kwd>associated</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>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 [<xref ref-type="bibr" rid="ref1">1</xref>]. As the definition of SPL varies between countries and international organizations, estimates of the prevalence of SPL vary among previous studies [<xref ref-type="bibr" rid="ref2">2</xref>]. 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 [<xref ref-type="bibr" rid="ref3">3</xref>]. Pregnancy losses from the first antenatal care visit to that at 28 weeks’ gestation are recorded in practice in China [<xref ref-type="bibr" rid="ref4">4</xref>,<xref ref-type="bibr" rid="ref5">5</xref>]. A nationwide study with 6.4 million medical records of Chinese pregnant women reported 2.8% of pregnancy losses before 28 weeks of gestation [<xref ref-type="bibr" rid="ref6">6</xref>]. To date, the mechanism underlying the etiology of SPL remains largely unknown, and over 50% of women with SPL have no identified risk factors [<xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref8">8</xref>].</p>
      <p>Poor glycemic control during pregnancy is an established independent predictor for adverse pregnancy outcomes [<xref ref-type="bibr" rid="ref9">9</xref>]. Serum glycated hemoglobin (HbA<sub>1c</sub>) levels are conventionally used for monitoring blood glucose control [<xref ref-type="bibr" rid="ref10">10</xref>]. According to the American Diabetes Association’s (ADA’s) clinical practice guidelines, individuals with HbA<sub>1c</sub> levels within 5.7%-6.4% and ≥6.5% are classified as having prediabetes and diabetes, respectively, in the general population, and HbA<sub>1c</sub> 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 [<xref ref-type="bibr" rid="ref11">11</xref>]. Previous studies have reported associations of HbA<sub>1c</sub> levels of pregnant women with insulin-dependent diabetes and SPL risk [<xref ref-type="bibr" rid="ref12">12</xref>-<xref ref-type="bibr" rid="ref14">14</xref>]. However, little is known about these associations in pregnant women without diabetes.</p>
      <p>An HbA<sub>1c</sub> 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 [<xref ref-type="bibr" rid="ref11">11</xref>,<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref16">16</xref>]. In this prospective cohort study, we aimed to evaluate whether HbA<sub>1c</sub> levels in pregnant women without diabetes are associated with a subsequent SPL risk.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Study Population</title>
        <p>Pregnant women included in this study were a subcohort of the ongoing Shanghai Preconception Cohort Study (SPCC; ClinicalTrials.gov NCT02737644) [<xref ref-type="bibr" rid="ref17">17</xref>], who were enrolled between March 2016 and December 2018 from one of the study sites—a tertiary maternity hospital where HbA<sub>1c</sub> 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 &#62;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 HbA<sub>1c</sub> or FBG levels at entry, having received artificial abortions, self-reported diabetes before pregnancy (ie, an HbA<sub>1c</sub> 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.</p>
      </sec>
      <sec>
        <title>Ethical Considerations</title>
        <p>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.</p>
      </sec>
      <sec>
        <title>Exposures and Covariates</title>
        <p>We treated the fasting HbA<sub>1c</sub> levels in early pregnancy as the main exposure in this study. Given that FBG levels are also an index of glycemic control, both HbA<sub>1c</sub> and FBG levels were abstracted from the medical records for analyses. According to the routine practice of the hospital where this subcohort was recruited, HbA<sub>1c</sub> and FBG levels were measured in 2 hours using a venous blood sample after overnight fasting (&#62;8 hours of fasting) at their first antenatal care visit. Venous blood for the HbA<sub>1c</sub> 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.</p>
        <p>A series of variables regarding known or suspected risk factors for SPL were considered covariates in the association analysis [<xref ref-type="bibr" rid="ref18">18</xref>]. 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/m<sup>2</sup>) and the international standard (≥25 kg/m<sup>2</sup>) to define the overweight status [<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref20">20</xref>]. 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.</p>
      </sec>
      <sec>
        <title>Outcomes</title>
        <p>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 [<xref ref-type="bibr" rid="ref4">4</xref>]. 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.</p>
      </sec>
      <sec>
        <title>Statistical Analysis</title>
        <p>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 <italic>t</italic> tests or Mann-Whitney <italic>U</italic> 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.</p>
        <p>Our primary aim was to investigate the associations of HbA<sub>1c</sub> and FBG levels as continuous variables with SPL risk. We used generalized linear models with binomial family and log link functions treating HbA<sub>1c</sub> (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 HbA<sub>1c</sub> level because it reflects a clinically important change [<xref ref-type="bibr" rid="ref21">21</xref>]. Considering that a HbA<sub>1c</sub> level of 5.9% in early pregnancy has been suggested as the cutoff for identifying women at increased risk of adverse pregnancy outcomes [<xref ref-type="bibr" rid="ref11">11</xref>], we further assessed the associations based on dichotomous HbA<sub>1c</sub> (coded as 1 for a HbA<sub>1c</sub> level of ≥5.9% and 0 for an HbA<sub>1c</sub> level of &#60;5.9%). We used a restricted cubic spline (RCS) regression model with 3 knots (5th, 50th, and 95th percentile levels) fitted in R (<italic>rms</italic> package) to assess the potential nonlinear dose-response relationship of HbA<sub>1c</sub> levels with SPL risk. Adjusted covariates included maternal age, education level, pre-BMI, gestational week at HbA<sub>1c</sub> examination, gravidity, history of adverse pregnancy outcomes, family history of diabetes, FAS, and exposure to smoking and drinking during the periconception period.</p>
        <p>We conducted an exploratory analysis to investigate the HbA<sub>1c</sub> cutoff indicating pregnant women at an increased risk of SPL by using a series of regression models using HbA<sub>1c</sub> levels from the median level of the study population (5.1%) to 6.0% in a 0.1% interval without adjustment for multiple testing.</p>
        <p>As there were 2147 participants—1360 (10.5%) with missing medical records after the first antenatal visit and 787 (6.1%) with missing HbA<sub>1c</sub> 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 HbA<sub>1c</sub> 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 HbA<sub>1c</sub> 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%.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Characteristics of the Study Population</title>
        <p>A total of 10,773 eligible pregnant women were included in the main analysis (<xref rid="figure1" ref-type="fig">Figure 1</xref>), 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 (<xref ref-type="table" rid="table1">Table 1</xref>). 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 HbA<sub>1c</sub> 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 (<italic>r</italic>=.19; <italic>P</italic>&#60;.001) and overlapped in quartiles (Figure S1 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). We summarized the characteristics of the 10,773 eligible pregnant women and 2147 women with missing medical records or HbA<sub>1c</sub> data (Table S1 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>), which were overall similar.</p>
        <fig id="figure1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>Flowchart of the study population. HbA<sub>1c</sub>: serum glycated hemoglobin; SPCC: Shanghai Preconception Cohort Study; SPL: spontaneous pregnancy loss.</p>
          </caption>
          <graphic xlink:href="publichealth_v9i1e46986_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Baseline characteristics of study population at the first antenatal care visit.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="320"/>
            <col width="200"/>
            <col width="170"/>
            <col width="210"/>
            <col width="70"/>
            <thead>
              <tr valign="top">
                <td colspan="2">Variables</td>
                <td>Total sample (N=10,773)</td>
                <td>SPL<sup>a</sup> group (n=273)</td>
                <td>Non-SPL group (n=10,500)</td>
                <td><italic>P</italic> value</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="2">Age<sup>b</sup> (years), mean (SD)</td>
                <td>30.5 (4.0)</td>
                <td>32.0 (4.4)</td>
                <td>30.4 (3.9)</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td colspan="2">Pre-BMI (kg/m<sup>2</sup>), mean (SD)</td>
                <td>21.7 (2.9)</td>
                <td>22.5 (3.0)</td>
                <td>21.7 (2.9)</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td colspan="6">
                  <bold>Pre-BMI categories, n (%)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td/>
                <td>≥24 kg/m<sup>2</sup></td>
                <td>2056 (19.1)</td>
                <td>65 (23.8)</td>
                <td>1991 (19.0)</td>
                <td>.047</td>
              </tr>
              <tr valign="top">
                <td/>
                <td>≥25 kg/m<sup>2</sup></td>
                <td>1347 (12.5)</td>
                <td>47 (17.2)</td>
                <td>1300 (12.4)</td>
                <td>.02</td>
              </tr>
              <tr valign="top">
                <td/>
                <td>Missing</td>
                <td>32 (0.3)</td>
                <td>—<sup>c</sup></td>
                <td>32 (0.3)</td>
                <td>N/A<sup>d</sup></td>
              </tr>
              <tr valign="top">
                <td colspan="2">Gestational weeks at enrollment<sup>e</sup>, mean (SD)</td>
                <td>10.8 (1.7)</td>
                <td>10.7 (1.6)</td>
                <td>10.7 (1.7)</td>
                <td>.48</td>
              </tr>
              <tr valign="top">
                <td colspan="5">
                  <bold>Education level, n (%)</bold>
                </td>
                <td>.24</td>
              </tr>
              <tr valign="top">
                <td/>
                <td>College and above</td>
                <td>9866 (91.6)</td>
                <td>247 (90.5)</td>
                <td>9619 (92.4)</td>
                <td/>
              </tr>
              <tr valign="top">
                <td/>
                <td>Below college</td>
                <td>817 (7.6)</td>
                <td>26 (9.5)</td>
                <td>791 (7.6)</td>
                <td/>
              </tr>
              <tr valign="top">
                <td/>
                <td>Missing</td>
                <td>90 (0.8)</td>
                <td>—</td>
                <td>90 (0.8)</td>
                <td/>
              </tr>
              <tr valign="top">
                <td colspan="5">
                  <bold>Gravidity, n (%)</bold>
                </td>
                <td>.26</td>
              </tr>
              <tr valign="top">
                <td/>
                <td>1</td>
                <td>6357 (59.1)</td>
                <td>149 (54.6)</td>
                <td>6208 (59.2)</td>
                <td/>
              </tr>
              <tr valign="top">
                <td/>
                <td>2</td>
                <td>2759 (25.7)</td>
                <td>75 (27.5)</td>
                <td>2684 (25.6)</td>
                <td/>
              </tr>
              <tr valign="top">
                <td/>
                <td>≥3</td>
                <td>1635 (15.2)</td>
                <td>49 (18.9)</td>
                <td>1586 (15.1)</td>
                <td/>
              </tr>
              <tr valign="top">
                <td/>
                <td>Missing</td>
                <td>22 (0.2)</td>
                <td>2 (0.7)</td>
                <td>20 (0.1)</td>
                <td/>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <bold>History of adverse pregnancy outcomes, n (%)</bold>
                </td>
                <td>2817 (26.4)</td>
                <td>93 (34.1)</td>
                <td>2724 (26.2)</td>
                <td>.003</td>
              </tr>
              <tr valign="top">
                <td/>
                <td>Missing</td>
                <td>93 (0.9)</td>
                <td>1 (0.4)</td>
                <td>92 (0.9)</td>
                <td>N/A</td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <bold>Family history of diabetes, n (%)</bold>
                </td>
                <td>3874 (36.3)</td>
                <td>112 (41.0)</td>
                <td>3762 (36.2)</td>
                <td>.10</td>
              </tr>
              <tr valign="top">
                <td/>
                <td>Missing</td>
                <td>104 (1.0)</td>
                <td>5 (1.8)</td>
                <td>99 (0.9)</td>
                <td>N/A</td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <bold>FAS<sup>f</sup> before or during early pregnancy, n (%)</bold>
                </td>
                <td>8022 (75.1)</td>
                <td>240 (87.9)</td>
                <td>7804 (75.0)</td>
                <td>.06</td>
              </tr>
              <tr valign="top">
                <td/>
                <td>Missing</td>
                <td>90 (0.8)</td>
                <td>4 (1.5)</td>
                <td>86 (0.8)</td>
                <td>N/A</td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <bold>Smoking exposure, n (%)</bold>
                </td>
                <td>1043 (9.8)</td>
                <td>33 (12.1)</td>
                <td>1010 (9.7)</td>
                <td>.19</td>
              </tr>
              <tr valign="top">
                <td/>
                <td>Missing</td>
                <td>91 (0.8)</td>
                <td>2 (0.7)</td>
                <td>89 (0.8)</td>
                <td>N/A</td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <bold>Alcohol drinking, n (%)</bold>
                </td>
                <td>857 (8.0)</td>
                <td>19 (7.0)</td>
                <td>838 (8.1)</td>
                <td>.51</td>
              </tr>
              <tr valign="top">
                <td/>
                <td>Missing</td>
                <td>91 (0.8)</td>
                <td>3 (1.1)</td>
                <td>88 (0.8)</td>
                <td>N/A</td>
              </tr>
              <tr valign="top">
                <td colspan="2">FBG<sup>g,h</sup> (mmol/L), mean (SD)</td>
                <td>4.49 (0.78)</td>
                <td>4.64 (0.39)</td>
                <td>4.48 (0.47)</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td colspan="2">FBG≥6.1 mmol/L, n (%)</td>
                <td>29 (.3)</td>
                <td>1 (.4)</td>
                <td>28 (.3)</td>
                <td>.75</td>
              </tr>
              <tr valign="top">
                <td colspan="2">HbA<sub>1c</sub><sup>i</sup> (%), mean (SD)</td>
                <td>5.09 (0.30)</td>
                <td>5.15 (0.33)</td>
                <td>5.09 (0.30)</td>
                <td>.002</td>
              </tr>
              <tr valign="top">
                <td colspan="2">HbA<sub>1c</sub>≥5.9%, n (%)</td>
                <td>126 (1.2)</td>
                <td>6 (2.2)</td>
                <td>120 (1.1)</td>
                <td>.03</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table1fn1">
              <p><sup>a</sup>SPL: spontaneous pregnancy loss.</p>
            </fn>
            <fn id="table1fn2">
              <p><sup>b</sup>Age 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.</p>
            </fn>
            <fn id="table1fn3">
              <p><sup>c</sup>Not available.</p>
            </fn>
            <fn id="table1fn4">
              <p><sup>d</sup>N/A: not applicable.</p>
            </fn>
            <fn id="table1fn5">
              <p><sup>e</sup>Data 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.</p>
            </fn>
            <fn id="table1fn6">
              <p><sup>f</sup>FAS: folic acid supplementation.</p>
            </fn>
            <fn id="table1fn7">
              <p><sup>g</sup>FBG: fasting blood glucose.</p>
            </fn>
            <fn id="table1fn8">
              <p><sup>h</sup>FBG 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 (<italic>P</italic>=.75).</p>
            </fn>
            <fn id="table1fn9">
              <p><sup>i</sup>HbA<sub>1c</sub>: serum glycated hemoglobin.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>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 HbA<sub>1c</sub> (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.</p>
      </sec>
      <sec>
        <title>Associations Between Maternal HbA1c and FBG Levels and SPL Risk</title>
        <p>As shown in <xref ref-type="table" rid="table2">Table 2</xref>, maternal HbA<sub>1c</sub> 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 HbA<sub>1c</sub> levels, and the association remained significant after adjusting for covariates (aRR 1.23, 95% CI 1.01-1.50; <italic>P</italic>=.04). The RCS model showed a linear association of SPL risk with increasing HbA<sub>1c</sub> levels through the whole range of HbA<sub>1c</sub> values (<italic>P</italic>=.77 for the nonlinearity test; <xref rid="figure2" ref-type="fig">Figure 2</xref>). No significant association was found between a HbA<sub>1c</sub> level of ≥5.9% and SPL risk after adjusting for covariates. Every 1 mmol/L increment in maternal FBG levels was associated with a &#62;2-fold higher risk of SPL (aRR 2.12, 95% CI 1.61-2.80; <italic>P</italic>&#60;.001).</p>
        <table-wrap position="float" id="table2">
          <label>Table 2</label>
          <caption>
            <p>
          Associations between maternal HbA<sub>1c</sub><sup>a</sup> and FBG<sup>b</sup> levels and SPL<sup>c</sup> risk during early pregnancy.
        </p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="30"/>
            <col width="200"/>
            <col width="200"/>
            <col width="160"/>
            <col width="110"/>
            <col width="160"/>
            <col width="110"/>
            <thead>
              <tr valign="top">
                <td colspan="3">Analysis</td>
                <td>SPL group/total sample, n/n</td>
                <td colspan="2">Crude model</td>
                <td colspan="2">Adjusted model<sup>d</sup></td>
              </tr>
              <tr valign="top">
                <td colspan="3"/>
                <td/>
                <td>Risk ratio (95% CI)</td>
                <td><italic>P</italic> value</td>
                <td>Risk ratio (95% CI)</td>
                <td><italic>P</italic> value</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="8">
                  <bold>Primary analysis</bold>
                </td>
              </tr>
              <tr valign="top">
                <td/>
                <td colspan="2">
                  <bold>HbA<sub>1c</sub> (per 0.5% increment)</bold>
                </td>
                <td>273/10,773</td>
                <td>1.34 (1.10-1.63)</td>
                <td>.004</td>
                <td>1.23 (1.01-1.50)</td>
                <td>.04</td>
              </tr>
              <tr valign="top">
                <td/>
                <td/>
                <td>&#60;5.9%</td>
                <td>267/10,647</td>
                <td>Reference</td>
                <td>N/A<sup>e</sup></td>
                <td>Reference</td>
                <td>N/A</td>
              </tr>
              <tr valign="top">
                <td/>
                <td/>
                <td>≥5.9%</td>
                <td>6/126</td>
                <td>1.94 (.85-4.45)</td>
                <td>.12</td>
                <td>1.67 (0.76-3.67)</td>
                <td>.20</td>
              </tr>
              <tr valign="top">
                <td/>
                <td colspan="2">FBG (mmol/L)</td>
                <td>273/10,773</td>
                <td>2.38 (1.82-3.11)</td>
                <td>&#60;.001</td>
                <td>2.12 (1.61-2.80)</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td colspan="8">
                  <bold>Sensitivity analysis 1 (Including 1360 pregnant women with missing medical diagnosis records based on imputation)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td/>
                <td colspan="2">
                  <bold>HbA<sub>1c</sub> (per 0.5% increment)</bold>
                </td>
                <td>306/12,133</td>
                <td>1.36 (1.11-1.67)</td>
                <td>.003</td>
                <td>1.25 (1.02-1.53)</td>
                <td>.03</td>
              </tr>
              <tr valign="top">
                <td colspan="2"/>
                <td>&#60;5.9%</td>
                <td>299/11,993</td>
                <td>Reference</td>
                <td>N/A</td>
                <td>Reference</td>
                <td>N/A</td>
              </tr>
              <tr valign="top">
                <td colspan="2"/>
                <td>≥5.9%</td>
                <td>7/140</td>
                <td>2.02 (0.93-4.42)</td>
                <td>.08</td>
                <td>1.51 (0.68-3.34)</td>
                <td>.31</td>
              </tr>
              <tr valign="top">
                <td colspan="8">
                  <bold>Sensitivity analysis 2 (including 787 pregnant women with missing HbA<sub>1c</sub> levels based on imputation)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td/>
                <td colspan="2">
                  <bold>HbA<sub>1c</sub> (per 0.5% increment)</bold>
                </td>
                <td>373/11,560</td>
                <td>1.36 (1.10-1.69)</td>
                <td>.005</td>
                <td>1.25 (1.01-1.55)</td>
                <td>.04</td>
              </tr>
              <tr valign="top">
                <td colspan="2"/>
                <td>&#60;5.9%</td>
                <td>366/11,430</td>
                <td>Reference</td>
                <td>N/A</td>
                <td>Reference</td>
                <td>N/A</td>
              </tr>
              <tr valign="top">
                <td colspan="2"/>
                <td>≥5.9%</td>
                <td>7/130</td>
                <td>1.59 (0.70-3.65)</td>
                <td>.27</td>
                <td>1.42 (0.49-2.67)</td>
                <td>.75</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table2fn1">
              <p><sup>a</sup>HbA<sub>1c</sub>: serum glycated hemoglobin.</p>
            </fn>
            <fn id="table2fn2">
              <p><sup>b</sup>FBG: fasting blood glucose.</p>
            </fn>
            <fn id="table2fn3">
              <p><sup>c</sup>SPL: spontaneous pregnancy loss.</p>
            </fn>
            <fn id="table2fn4">
              <p><sup>d</sup>Adjusted for age, pre-BMI, gestational weeks, education, gravidity, history of abnormal pregnancy, family history of diabetes, folic acid supplementation, and drinking and smoking status.</p>
            </fn>
            <fn id="table2fn5">
              <p><sup>e</sup>N/A: not applicable.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <fig id="figure2" position="float">
          <label>Figure 2</label>
          <caption>
            <p>Restricted cubic spline plots for the association between maternal serum glycated hemoglobin (HbA<sub>1c</sub>) levels in early pregnancy with spontaneous pregnancy loss (SPL) risk.</p>
          </caption>
          <graphic xlink:href="publichealth_v9i1e46986_fig2.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
      </sec>
      <sec>
        <title>Sensitivity and Subgroup Analyses</title>
        <p>In the first sensitivity analysis including 1360 pregnant women with missing medical diagnosis records, the association between HbA<sub>1c</sub> levels and SPL risk did not substantially change (aRR per 0.5% increment 1.25, 95% CI 1.02-1.53; <italic>P</italic>=.03; <xref ref-type="table" rid="table2">Table 2</xref>). Similar results were also observed in the second sensitivity analysis upon including pregnant women with missing data on HbA<sub>1c</sub> levels (aRR per 0.5% increment 1.25, 95% CI 1.01-1.55; <italic>P</italic>=.04).</p>
        <p>Our exploratory analyses showed that the strength of the associations increased markedly from below 1.2 to 1.6 at an HbA<sub>1c</sub> level of 5.6% (aRR 1.60; 95% CI 1.01-2.54; <italic>P</italic>=.048) and increased further at higher cutoff levels, although significance was not achieved at HbA<sub>1c</sub> levels of 5.9% and 6.0% (Figure S2 in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). 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 HbA<sub>1c</sub> 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 <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>).</p>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Principal Findings</title>
        <p>In this large prospective cohort study, we provide solid evidence that among pregnant women without diabetes, HbA<sub>1c</sub> 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, HbA<sub>1c</sub> 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.</p>
      </sec>
      <sec>
        <title>Comparison With Prior Work</title>
        <p>Several studies have investigated the adverse effect of elevated HbA<sub>1c</sub> levels on SPL risk only among pregnant women with diabetes and have reported conflicting findings [<xref ref-type="bibr" rid="ref12">12</xref>-<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref22">22</xref>]. 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) [<xref ref-type="bibr" rid="ref12">12</xref>]. However, another case-control study among women with type 1 diabetes reported that elevated HbA<sub>1c</sub> levels were associated with SPL risk [<xref ref-type="bibr" rid="ref13">13</xref>]. Another cohort study of 573 women with type 1 diabetes observed a linear association between HbA<sub>1c</sub> levels and the risk of adverse pregnancy outcomes including SPL when HbA<sub>1c</sub> levels were &#62;7.0% [<xref ref-type="bibr" rid="ref14">14</xref>]. This is the first prospective cohort study demonstrating the link between maternal HbA<sub>1c</sub> 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 HbA<sub>1c</sub> 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 HbA<sub>1c</sub> level because the former is less stable, requires a fasting state for examination, and has relatively greater intraindividual variability [<xref ref-type="bibr" rid="ref23">23</xref>]. Our findings suggest that attention to glycemic control should not be limited to pregnant women with diabetes but should also include those with high HbA<sub>1c</sub> levels within the clinical range during early gestation for the related increased risk of SPL.</p>
      </sec>
      <sec>
        <title>Research Implications</title>
        <p>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 HbA<sub>1c</sub> levels during pregnancy is conventionally used to monitor glycemic control in pregnant women with diabetes [<xref ref-type="bibr" rid="ref24">24</xref>]; this marker is superior to FBG levels, mainly for its greater stability but lesser variability among individuals and its nonrequirement of fasting [<xref ref-type="bibr" rid="ref23">23</xref>]. Given the special physiological status of pregnancy, the target HbA<sub>1c</sub> level for ideal glycemic control remains inconclusive. In China, based on recommendations for the general population, an HbA<sub>1c</sub> level less than 6.5% is recommended to indicate ideal glycemic control before conception [<xref ref-type="bibr" rid="ref25">25</xref>]. An HbA<sub>1c</sub> 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 [<xref ref-type="bibr" rid="ref11">11</xref>]. Our findings add new evidence for the linear relationship between glucose metabolism markers and SPL risk when HbA<sub>1c</sub> levels are clinically normal [<xref ref-type="bibr" rid="ref11">11</xref>], and the magnitudes of the associations are even stronger in those exposed to smoking or those who have a history of adverse pregnancy outcomes.</p>
        <p>The mechanism underlying the association between maternal HbA<sub>1c</sub> 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 [<xref ref-type="bibr" rid="ref26">26</xref>]. 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 [<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref28">28</xref>]. Further population studies exploring the biological mechanisms underlying the association between HbA<sub>1c</sub> levels and SPL in pregnant women without diabetes are warranted.</p>
        <p>The findings of our exploratory analysis are clinically relevant, indicating that pregnant women with HbA<sub>1c</sub> levels above 5.6% need attention for owing to a potentially increased risk of SPL. Given that HbA<sub>1c</sub> levels are 0.5%-0.6% lower in early pregnancy than in nonpregnant women [<xref ref-type="bibr" rid="ref29">29</xref>], HbA<sub>1c</sub> levels over 5.6% at early gestation may reflect an elevated HbA<sub>1c</sub> status that occurred before or at pregnancy (ie, prediabetes status), which accounts for over 13% of the population [<xref ref-type="bibr" rid="ref6">6</xref>]. Another large cohort study and systematic review have reported associations between an HbA<sub>1c</sub> level of &#60;6.4% with increased severe maternal morbidity and subsequent gestational diabetes mellitus [<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref31">31</xref>]. Taken together, based on the aforementioned evidence and our findings, we propose that monitoring of HbA<sub>1c</sub> levels in early pregnancy is necessary general pregnant women, and HbA<sub>1c</sub> levels exceeding 5.6% might be considered an indicator of high risk for SPL and additional medical care.</p>
      </sec>
      <sec>
        <title>Strengths and Limitations</title>
        <p>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 HbA<sub>1c</sub> 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.</p>
      </sec>
      <sec>
        <title>Conclusions</title>
        <p>This study is the first to document that maternal HbA<sub>1c</sub> 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 HbA<sub>1c</sub> 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.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Additional figures, tables, and information.</p>
        <media xlink:href="publichealth_v9i1e46986_app1.docx" xlink:title="DOCX File , 442 KB"/>
      </supplementary-material>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">ADA</term>
          <def>
            <p>American Diabetes Association</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">aRR</term>
          <def>
            <p>adjusted risk ratio</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">FAS</term>
          <def>
            <p>folic acid supplementation</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb4">FBG</term>
          <def>
            <p>fasting blood glucose</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb5">HbA<sub>1c</sub></term>
          <def>
            <p>serum glycated hemoglobin</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb6">Pre-BMI</term>
          <def>
            <p> preconception BMI</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb7">RCS</term>
          <def>
            <p>restricted cubic spline</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb8">RR</term>
          <def>
            <p>risk ratio</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb9">SPCC</term>
          <def>
            <p>Shanghai Preconception Cohort Study</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb10">SPL</term>
          <def>
            <p>spontaneous pregnancy loss</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>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 <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>. We declare that artificial intelligence (AI) was not used in writing any portion of the manuscript.</p>
    </ack>
    <notes>
      <sec>
        <title>Data Availability</title>
        <p>The data supporting the findings of this study are available from the corresponding author upon reasonable request.</p>
      </sec>
    </notes>
    <fn-group>
      <fn fn-type="con">
        <p>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.</p>
      </fn>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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