Literature DB >> 28602020

Techniques of monitoring blood glucose during pregnancy for women with pre-existing diabetes.

Foong Ming Moy1, Amita Ray, Brian S Buckley, Helen M West.   

Abstract

BACKGROUND: Self-monitoring of blood glucose (SMBG) is recommended as a key component of the management plan for diabetes therapy during pregnancy. No existing systematic reviews consider the benefits/effectiveness of various techniques of blood glucose monitoring on maternal and infant outcomes among pregnant women with pre-existing diabetes. The effectiveness of the various monitoring techniques is unclear.
OBJECTIVES: To compare techniques of blood glucose monitoring and their impact on maternal and infant outcomes among pregnant women with pre-existing diabetes. SEARCH
METHODS: We searched the Cochrane Pregnancy and Childbirth Group's Trials Register (30 November 2016), searched reference lists of retrieved studies and contacted trial authors. SELECTION CRITERIA: Randomised controlled trials (RCTs) and quasi-RCTs comparing techniques of blood glucose monitoring including SMBG, continuous glucose monitoring (CGM) or clinic monitoring among pregnant women with pre-existing diabetes mellitus (type 1 or type 2). Trials investigating timing and frequency of monitoring were also included. RCTs using a cluster-randomised design were eligible for inclusion but none were identified. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed study eligibility, extracted data and assessed the risk of bias of included studies. Data were checked for accuracy. The quality of the evidence was assessed using the GRADE approach. MAIN
RESULTS: This review update includes at total of 10 trials (538) women (468 women with type 1 diabetes and 70 women with type 2 diabetes). The trials took place in Europe and the USA. Five of the 10 included studies were at moderate risk of bias, four studies were at low to moderate risk of bias, and one study was at high risk of bias. The trials are too small to show differences in important outcomes such as macrosomia, preterm birth, miscarriage or death of baby. Almost all the reported GRADE outcomes were assessed as being very low-quality evidence. This was due to design limitations in the studies, wide confidence intervals, small sample sizes, and few events. In addition, there was high heterogeneity for some outcomes.Various methods of glucose monitoring were compared in the trials. Neither pooled analyses nor individual trial analyses showed any clear advantages of one monitoring technique over another for primary and secondary outcomes. Many important outcomes were not reported.1. Self-monitoring versus standard care (two studies, 43 women): there was no clear difference for caesarean section (risk ratio (RR) 0.78, 95% confidence interval (CI) 0.40 to 1.49; one study, 28 women) or glycaemic control (both very low-quality), and not enough evidence to assess perinatal mortality and neonatal mortality and morbidity composite. Hypertensive disorders of pregnancy, large-for-gestational age, neurosensory disability, and preterm birth were not reported in either study.2. Self-monitoring versus hospitalisation (one study, 100 women): there was no clear difference for hypertensive disorders of pregnancy (pre-eclampsia and hypertension) (RR 4.26, 95% CI 0.52 to 35.16; very low-quality: RR 0.43, 95% CI 0.08 to 2.22; very low-quality). There was no clear difference in caesarean section or preterm birth less than 37 weeks' gestation (both very low quality), and the sample size was too small to assess perinatal mortality (very low-quality). Large-for-gestational age, mortality or morbidity composite, neurosensory disability and preterm birth less than 34 weeks were not reported.3. Pre-prandial versus post-prandial glucose monitoring (one study, 61 women): there was no clear difference between groups for caesarean section (RR 1.45, 95% CI 0.92 to 2.28; very low-quality), large-for-gestational age (RR 1.16, 95% CI 0.73 to 1.85; very low-quality) or glycaemic control (very low-quality). The results for hypertensive disorders of pregnancy: pre-eclampsia and perinatal mortality are not meaningful because these outcomes were too rare to show differences in a small sample (all very low-quality). The study did not report the outcomes mortality or morbidity composite, neurosensory disability or preterm birth.4. Automated telemedicine monitoring versus conventional system (three studies, 84 women): there was no clear difference for caesarean section (RR 0.96, 95% CI 0.62 to 1.48; one study, 32 women; very low-quality), and mortality or morbidity composite in the one study that reported these outcomes. There were no clear differences for glycaemic control (very low-quality). No studies reported hypertensive disorders of pregnancy, large-for-gestational age, perinatal mortality (stillbirth and neonatal mortality), neurosensory disability or preterm birth.5.CGM versus intermittent monitoring (two studies, 225 women): there was no clear difference for pre-eclampsia (RR 1.37, 95% CI 0.52 to 3.59; low-quality), caesarean section (average RR 1.00, 95% CI 0.65 to 1.54; I² = 62%; very low-quality) and large-for-gestational age (average RR 0.89, 95% CI 0.41 to 1.92; I² = 82%; very low-quality). Glycaemic control indicated by mean maternal HbA1c was lower for women in the continuous monitoring group (mean difference (MD) -0.60 %, 95% CI -0.91 to -0.29; one study, 71 women; moderate-quality). There was not enough evidence to assess perinatal mortality and there were no clear differences for preterm birth less than 37 weeks' gestation (low-quality). Mortality or morbidity composite, neurosensory disability and preterm birth less than 34 weeks were not reported.6. Constant CGM versus intermittent CGM (one study, 25 women): there was no clear difference between groups for caesarean section (RR 0.77, 95% CI 0.33 to 1.79; very low-quality), glycaemic control (mean blood glucose in the 3rd trimester) (MD -0.14 mmol/L, 95% CI -2.00 to 1.72; very low-quality) or preterm birth less than 37 weeks' gestation (RR 1.08, 95% CI 0.08 to 15.46; very low-quality). Other primary (hypertensive disorders of pregnancy, large-for-gestational age, perinatal mortality (stillbirth and neonatal mortality), mortality or morbidity composite, and neurosensory disability) or GRADE outcomes (preterm birth less than 34 weeks' gestation) were not reported. AUTHORS'
CONCLUSIONS: This review found no evidence that any glucose monitoring technique is superior to any other technique among pregnant women with pre-existing type 1 or type 2 diabetes. The evidence base for the effectiveness of monitoring techniques is weak and additional evidence from large well-designed randomised trials is required to inform choices of glucose monitoring techniques.

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Year:  2017        PMID: 28602020      PMCID: PMC6481528          DOI: 10.1002/14651858.CD009613.pub3

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  56 in total

1.  What degree of maternal metabolic control in women with type 1 diabetes is associated with normal body size and proportions in full-term infants?

Authors:  G Mello; E Parretti; F Mecacci; P La Torre; R Cioni; D Cianciulli; G Scarselli
Journal:  Diabetes Care       Date:  2000-10       Impact factor: 19.112

2.  Calibration of a subcutaneous amperometric glucose sensor. Part 1. Effect of measurement uncertainties on the determination of sensor sensitivity and background current.

Authors:  C Choleau; J C Klein; G Reach; B Aussedat; V Demaria-Pesce; G S Wilson; R Gifford; W K Ward
Journal:  Biosens Bioelectron       Date:  2002-08       Impact factor: 10.618

3.  Self-monitoring of blood glucose levels and glycemic control: the Northern California Kaiser Permanente Diabetes registry.

Authors:  A J Karter; L M Ackerson; J A Darbinian; R B D'Agostino; A Ferrara; J Liu; J V Selby
Journal:  Am J Med       Date:  2001-07       Impact factor: 4.965

4.  Normalization of pregnancy outcome in pregestational diabetes through functional insulin treatment and modular out-patient education adapted for pregnancy.

Authors:  K Howorka; J Pumprla; M Gabriel; A Feiks; C Schlusche; C Nowotny; E Schober; T Waldhoer; M Langer
Journal:  Diabet Med       Date:  2001-12       Impact factor: 4.359

5.  Gestational diabetes mellitus. At what time should the postprandial glucose level be monitored?

Authors:  R G Moses; E M Lucas; S Knights
Journal:  Aust N Z J Obstet Gynaecol       Date:  1999-11       Impact factor: 2.100

6.  What we can really expect from telemedicine in intensive diabetes treatment: results from 3-year study on type 1 pregnant diabetic women.

Authors:  J M Wojcicki; P Ladyzynski; J Krzymien; E Jozwicka; J Blachowicz; E Janczewska; K Czajkowski; W Karnafel
Journal:  Diabetes Technol Ther       Date:  2001       Impact factor: 6.118

7.  Preconception care and the risk of congenital anomalies in the offspring of women with diabetes mellitus: a meta-analysis.

Authors:  J G Ray; T E O'Brien; W S Chan
Journal:  QJM       Date:  2001-08

8.  Glycaemic control during early pregnancy and fetal malformations in women with type I diabetes mellitus.

Authors:  L Suhonen; V Hiilesmaa; K Teramo
Journal:  Diabetologia       Date:  2000-01       Impact factor: 10.122

9.  Preterm delivery in women with pregestational diabetes mellitus or chronic hypertension relative to women with uncomplicated pregnancies. The National institute of Child health and Human Development Maternal- Fetal Medicine Units Network.

Authors:  B M Sibai; S N Caritis; J C Hauth; C MacPherson; J P VanDorsten; M Klebanoff; M Landon; R H Paul; P J Meis; M Miodovnik; M P Dombrowski; G R Thurnau; A H Moawad; J Roberts
Journal:  Am J Obstet Gynecol       Date:  2000-12       Impact factor: 8.661

10.  The Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study.

Authors: 
Journal:  Int J Gynaecol Obstet       Date:  2002-07       Impact factor: 3.561

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  12 in total

Review 1.  Telemedicine in Complex Diabetes Management.

Authors:  Marie E McDonnell
Journal:  Curr Diab Rep       Date:  2018-05-24       Impact factor: 4.810

2.  Intracervical double-balloon catheter versus dinoprostone for cervical ripening in labor induction in pregnancies with a high risk of uterine hyperstimulation.

Authors:  Javier Vega Cañadas; María Teulón González; Natalia Pagola Limón; María Sanz Alguacil; María García-Luján Prieto; Rocío Canete Riaza; Rosa Montero-Macías
Journal:  Arch Gynecol Obstet       Date:  2021-04-27       Impact factor: 2.344

Review 3.  Drugs to Control Diabetes During Pregnancy.

Authors:  Maisa N Feghali; Jason G Umans; Patrick M Catalano
Journal:  Clin Perinatol       Date:  2019-03-26       Impact factor: 3.430

4.  Techniques of monitoring blood glucose during pregnancy for women with pre-existing diabetes.

Authors:  Leanne V Jones; Amita Ray; Foong Ming Moy; Brian S Buckley
Journal:  Cochrane Database Syst Rev       Date:  2019-05-23

Review 5.  Controversies and Advances in Gestational Diabetes-An Update in the Era of Continuous Glucose Monitoring.

Authors:  Marina P Carreiro; Anelise I Nogueira; Antonio Ribeiro-Oliveira
Journal:  J Clin Med       Date:  2018-01-25       Impact factor: 4.241

6.  Modelling potential cost savings from use of real-time continuous glucose monitoring in pregnant women with Type 1 diabetes.

Authors:  H R Murphy; D S Feig; J J Sanchez; S de Portu; A Sale
Journal:  Diabet Med       Date:  2019-07-04       Impact factor: 4.359

7.  Does continuous glucose monitoring during pregnancy improve glycaemic and health outcomes in women with type 1 diabetes?-what the CONCEPTT trial adds.

Authors:  Diane Farrar; Matthew D Campbell
Journal:  Ann Transl Med       Date:  2018-05

8.  Interventions during pregnancy to prevent preterm birth: an overview of Cochrane systematic reviews.

Authors:  Nancy Medley; Joshua P Vogel; Angharad Care; Zarko Alfirevic
Journal:  Cochrane Database Syst Rev       Date:  2018-11-14

Review 9.  Emerging Technologies for the Management of Type 1 Diabetes in Pregnancy.

Authors:  Jennifer M Yamamoto; Helen R Murphy
Journal:  Curr Diab Rep       Date:  2018-01-30       Impact factor: 4.810

10.  Time trends in pregnancy-related outcomes among women with type 1 diabetes mellitus, 2004-2017.

Authors:  Sarit Helman; Tamarra M James-Todd; Zifan Wang; Andrea Bellavia; Jennifer A Wyckoff; Shanti Serdy; Elizabeth Halprin; Karen O'Brien; Tamara Takoudes; Munish Gupta; Thomas F McElrath; Florence M Brown
Journal:  J Perinatol       Date:  2020-06-02       Impact factor: 2.521

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