Barriers to postpartum follow-up of mothers with gestational diabetes mellitus and its implications: a mixed method study

2020 ◽  
Author(s):  
Ninu P. Mathew ◽  
Arathi P. Rao ◽  
Prakash Narayanan
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Mixed Method ◽  
Mixed Method Study

Postpartum Tip 2 DM follow-up after gestational diabetes mellitus

2017 ◽  
Author(s):  
Seda Sancak ◽  
Ali Ozdemir ◽  
Kerem Yiğit Abacar ◽  
Ayhan Celik ◽  
Nalan Okuroğlu ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus

scholarly journals Metabolic signatures in the conversion from gestational diabetes mellitus to postpartum abnormal glucose metabolism: a pilot study in Asian women

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xi-Meng Wang ◽  
Yan Gao ◽  
Johan G. Eriksson ◽  
Weiqing Chen ◽  
Yap Seng Chong ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Glucose Metabolism ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Post Partum ◽  
Diagnostic Biomarkers ◽  
Serum Metabolites ◽  
Abnormal Glucose Metabolism ◽  
Metabolic Signatures

AbstractWe aimed to identify serum metabolites related to abnormal glucose metabolism (AGM) among women with gestational diabetes mellitus (GDM). The study recruited 50 women diagnosed with GDM during mid-late pregnancy and 50 non-GDM matchees in a Singapore birth cohort. At the 5-year post-partum follow-up, we applied an untargeted approach to investigate the profiles of serum metabolites among all participants. We first employed OPLS-DA and logistic regression to discriminate women with and without follow-up AGM, and then applied area under the curve (AUC) to assess the incremental indicative value of metabolic signatures on AGM. We identified 23 candidate metabolites that were associated with postpartum AGM among all participants. We then narrowed down to five metabolites [p-cresol sulfate, linoleic acid, glycocholic acid, lysoPC(16:1) and lysoPC(20:3)] specifically associating with both GDM and postpartum AGM. The combined metabolites in addition to traditional risks showed a higher indicative value in AUC (0.92–0.94 vs. 0.74 of traditional risks and 0.77 of baseline diagnostic biomarkers) and R2 (0.67–0.70 vs. 0.25 of traditional risks and 0.32 of baseline diagnostic biomarkers) in terms of AGM indication, compared with the traditional risks model and traditional risks and diagnostic biomarkers combined model. These metabolic signatures significantly increased the AUC value of AGM indication in addition to traditional risks, and might shed light on the pathophysiology underlying the transition from GDM to AGM.

Gestational diabetes mellitus (GDM) follow up: As simple as ABCDE

2015 ◽  
Vol 107 (2) ◽  
pp. e5-e6 ◽  
Author(s):  
Bharti Kalra ◽  
Yashdeep Gupta ◽  
Sanjay Kalra
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus

scholarly journals Patient counseling increases postpartum follow-up in women with gestational diabetes mellitus

2011 ◽  
Vol 204 (6) ◽  
pp. 522.e1-522.e6 ◽  
Author(s):  
Marina Stasenko ◽  
Jennifer Liddell ◽  
Yvonne W. Cheng ◽  
Teresa N. Sparks ◽  
Molly Killion ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Patient Counseling
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