Jessica Burk,Glynis P Ross,Teri L Hernandez,Stephen Colagiuri,Arianne Sweeting
{"title":"与妊娠期糖尿病患者自我监测相比,持续血糖监测改善血糖指标和围产期结局的证据。","authors":"Jessica Burk,Glynis P Ross,Teri L Hernandez,Stephen Colagiuri,Arianne Sweeting","doi":"10.1016/j.ajog.2025.04.010","DOIUrl":null,"url":null,"abstract":"OBJECTIVE\r\nContinuous glucose monitoring (CGM) is recommended for pregnant women with type 1 diabetes (T1D), due to associations with decreased HbA1c and large-for-gestational age (LGA). However, its benefit in type 2 diabetes (T2D) and gestational diabetes (GDM) is not established. This systematic review and meta-analysis compared usage of CGM to self-monitoring of blood glucose (SMBG) both across and within diabetes in pregnancy (DIP), and determined which glucose metrics are associated with perinatal outcomes, to potentially inform treatment targets in DIP.\r\n\r\nDATA SOURCES\r\nWe searched Medline, Embase, CENTRAL, CINAHL and Scopus, from January 2003 to August 2024.\r\n\r\nSTUDY ELIGIBILITY CRITERIA\r\nRandomized controlled trials and quasi-experimental studies comparing CGM with SMBG in DIP were included.\r\n\r\nSTUDY APPRAISAL AND SYNTHESIS METHODS\r\nRCTs and quasi-experimental studies were analyzed separately. Data were extracted on CGM glucose metrics, HbA1c, rates of cesarean delivery, LGA, small-for-gestational age (SGA), neonatal hypoglycemia and neonatal intensive care unit (NICU) admission, summarized as mean differences (MD) or odds ratios (OR) with 95% Confidence Intervals (95%CI) and 95% Prediction Intervals (95%PI). Prespecified subgroup analyses were undertaken by DIP subtype, including duration of CGM use (continuous vs intermittent) for LGA. Certainty of evidence was assessed using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) framework.\r\n\r\nRESULTS\r\nAcross DIP, CGM (vs SMBG) decreased HbA1c (MD -0.22% [95%CI: -0.37, -0.08]) (7 RCTs, moderate-certainty evidence). Within DIP, CGM use (vs SMBG) showed similar but stronger benefits in both T1D when used throughout pregnancy (HbA1c MD -0.18% [95%CI: -0.36, 0.00], LGA OR 0.51 [0.28, 0.90]) (1 RCT, high-certainty evidence), and GDM when used intermittently (HbA1c MD -0.18 [95%CI: -0.33, -0.02]) (5 RCTs, moderate-certainty evidence) and LGA (OR 0.46 [0.26, 0.81]) (1 quasi-experimental study, low-certainty evidence), with insufficient data for CGM benefit in T2D. Increased pregnancy %time-in-range (T1D) and decreased mean sensor glucose (T1D/GDM) were associated with decreased LGA.\r\n\r\nCONCLUSIONS\r\nUsage of CGM (vs SMBG) reduces HbA1c and possibly LGA across DIP. Greatest benefit was evidenced in T1D, followed by GDM, although CGM duration differed. Mean sensor glucose and pregnancy %time-in-range are important CGM metrics for reducing LGA.","PeriodicalId":7574,"journal":{"name":"American journal of obstetrics and gynecology","volume":"37 1","pages":""},"PeriodicalIF":8.7000,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evidence for improved glucose metrics and perinatal outcomes with continuous glucose monitoring compared to self-monitoring in diabetes during pregnancy.\",\"authors\":\"Jessica Burk,Glynis P Ross,Teri L Hernandez,Stephen Colagiuri,Arianne Sweeting\",\"doi\":\"10.1016/j.ajog.2025.04.010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"OBJECTIVE\\r\\nContinuous glucose monitoring (CGM) is recommended for pregnant women with type 1 diabetes (T1D), due to associations with decreased HbA1c and large-for-gestational age (LGA). However, its benefit in type 2 diabetes (T2D) and gestational diabetes (GDM) is not established. This systematic review and meta-analysis compared usage of CGM to self-monitoring of blood glucose (SMBG) both across and within diabetes in pregnancy (DIP), and determined which glucose metrics are associated with perinatal outcomes, to potentially inform treatment targets in DIP.\\r\\n\\r\\nDATA SOURCES\\r\\nWe searched Medline, Embase, CENTRAL, CINAHL and Scopus, from January 2003 to August 2024.\\r\\n\\r\\nSTUDY ELIGIBILITY CRITERIA\\r\\nRandomized controlled trials and quasi-experimental studies comparing CGM with SMBG in DIP were included.\\r\\n\\r\\nSTUDY APPRAISAL AND SYNTHESIS METHODS\\r\\nRCTs and quasi-experimental studies were analyzed separately. Data were extracted on CGM glucose metrics, HbA1c, rates of cesarean delivery, LGA, small-for-gestational age (SGA), neonatal hypoglycemia and neonatal intensive care unit (NICU) admission, summarized as mean differences (MD) or odds ratios (OR) with 95% Confidence Intervals (95%CI) and 95% Prediction Intervals (95%PI). Prespecified subgroup analyses were undertaken by DIP subtype, including duration of CGM use (continuous vs intermittent) for LGA. Certainty of evidence was assessed using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) framework.\\r\\n\\r\\nRESULTS\\r\\nAcross DIP, CGM (vs SMBG) decreased HbA1c (MD -0.22% [95%CI: -0.37, -0.08]) (7 RCTs, moderate-certainty evidence). Within DIP, CGM use (vs SMBG) showed similar but stronger benefits in both T1D when used throughout pregnancy (HbA1c MD -0.18% [95%CI: -0.36, 0.00], LGA OR 0.51 [0.28, 0.90]) (1 RCT, high-certainty evidence), and GDM when used intermittently (HbA1c MD -0.18 [95%CI: -0.33, -0.02]) (5 RCTs, moderate-certainty evidence) and LGA (OR 0.46 [0.26, 0.81]) (1 quasi-experimental study, low-certainty evidence), with insufficient data for CGM benefit in T2D. Increased pregnancy %time-in-range (T1D) and decreased mean sensor glucose (T1D/GDM) were associated with decreased LGA.\\r\\n\\r\\nCONCLUSIONS\\r\\nUsage of CGM (vs SMBG) reduces HbA1c and possibly LGA across DIP. Greatest benefit was evidenced in T1D, followed by GDM, although CGM duration differed. 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Evidence for improved glucose metrics and perinatal outcomes with continuous glucose monitoring compared to self-monitoring in diabetes during pregnancy.
OBJECTIVE
Continuous glucose monitoring (CGM) is recommended for pregnant women with type 1 diabetes (T1D), due to associations with decreased HbA1c and large-for-gestational age (LGA). However, its benefit in type 2 diabetes (T2D) and gestational diabetes (GDM) is not established. This systematic review and meta-analysis compared usage of CGM to self-monitoring of blood glucose (SMBG) both across and within diabetes in pregnancy (DIP), and determined which glucose metrics are associated with perinatal outcomes, to potentially inform treatment targets in DIP.
DATA SOURCES
We searched Medline, Embase, CENTRAL, CINAHL and Scopus, from January 2003 to August 2024.
STUDY ELIGIBILITY CRITERIA
Randomized controlled trials and quasi-experimental studies comparing CGM with SMBG in DIP were included.
STUDY APPRAISAL AND SYNTHESIS METHODS
RCTs and quasi-experimental studies were analyzed separately. Data were extracted on CGM glucose metrics, HbA1c, rates of cesarean delivery, LGA, small-for-gestational age (SGA), neonatal hypoglycemia and neonatal intensive care unit (NICU) admission, summarized as mean differences (MD) or odds ratios (OR) with 95% Confidence Intervals (95%CI) and 95% Prediction Intervals (95%PI). Prespecified subgroup analyses were undertaken by DIP subtype, including duration of CGM use (continuous vs intermittent) for LGA. Certainty of evidence was assessed using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) framework.
RESULTS
Across DIP, CGM (vs SMBG) decreased HbA1c (MD -0.22% [95%CI: -0.37, -0.08]) (7 RCTs, moderate-certainty evidence). Within DIP, CGM use (vs SMBG) showed similar but stronger benefits in both T1D when used throughout pregnancy (HbA1c MD -0.18% [95%CI: -0.36, 0.00], LGA OR 0.51 [0.28, 0.90]) (1 RCT, high-certainty evidence), and GDM when used intermittently (HbA1c MD -0.18 [95%CI: -0.33, -0.02]) (5 RCTs, moderate-certainty evidence) and LGA (OR 0.46 [0.26, 0.81]) (1 quasi-experimental study, low-certainty evidence), with insufficient data for CGM benefit in T2D. Increased pregnancy %time-in-range (T1D) and decreased mean sensor glucose (T1D/GDM) were associated with decreased LGA.
CONCLUSIONS
Usage of CGM (vs SMBG) reduces HbA1c and possibly LGA across DIP. Greatest benefit was evidenced in T1D, followed by GDM, although CGM duration differed. Mean sensor glucose and pregnancy %time-in-range are important CGM metrics for reducing LGA.
期刊介绍:
The American Journal of Obstetrics and Gynecology, known as "The Gray Journal," covers the entire spectrum of Obstetrics and Gynecology. It aims to publish original research (clinical and translational), reviews, opinions, video clips, podcasts, and interviews that contribute to understanding health and disease and have the potential to impact the practice of women's healthcare.
Focus Areas:
Diagnosis, Treatment, Prediction, and Prevention: The journal focuses on research related to the diagnosis, treatment, prediction, and prevention of obstetrical and gynecological disorders.
Biology of Reproduction: AJOG publishes work on the biology of reproduction, including studies on reproductive physiology and mechanisms of obstetrical and gynecological diseases.
Content Types:
Original Research: Clinical and translational research articles.
Reviews: Comprehensive reviews providing insights into various aspects of obstetrics and gynecology.
Opinions: Perspectives and opinions on important topics in the field.
Multimedia Content: Video clips, podcasts, and interviews.
Peer Review Process:
All submissions undergo a rigorous peer review process to ensure quality and relevance to the field of obstetrics and gynecology.