Gestational diabetes mellitus, follow-up of future maternal risk of cardiovascular disease and the use of eHealth technologies-a scoping review.

BACKGROUND: Globally, gestational diabetes mellitus complicates 1 in 6 pregnancies and increases future risk of type 2 diabetes and cardiovascular disease in the affected women. There is a lack of consensus on the optimal follow-up of these women. eHealth is emerging as a health care tool, but its practical utility and advantages over standard care in the follow-up after pregnancy complications remains to be determined. Our aim was to systematically review the existing literature on cardiovascular follow-up after gestational diabetes, the utility of eHealth technology for this purpose, and to identify research gaps. METHODS: We performed a systematic scoping review following a published protocol and the Joanna Briggs methodology for studies up until May 2022. Four databases were searched: Ovid MEDLINE, Embase, Maternity and Infant Care, and Cochrane Database of Systematic Reviews. Primary research articles and systematic reviews were included in the final analyses. Two reviewers independently screened abstracts and performed full text assessment. Data was extracted using a data charting form. In all stages of the process, if consensus was not reached, a third reviewer was consulted. The findings from the data charting process provided the basis for summarizing the findings from the included studies. RESULTS: The search of the databases generated 2772 hits. After removing duplicates and manually adding a total of 19 studies, reviews, and guidelines, a total of 2769 titles and abstracts were screened, and 97 papers underwent full-text review. In the final analyses, 15 articles and 12 systematic reviews were included, whereas guidelines are presented as supplementary material. No studies were identified that examined follow-up regarding long-term overall cardiovascular risk after gestational diabetes. Various lifestyle interventions were tested for individual cardiovascular risk factors, with diverging effects. eHealth technologies were found acceptable by participants but had no consistent, statistically significant effect on relevant health outcomes. CONCLUSIONS: This scoping review of the existing literature revealed neither an established systematic cardiovascular follow-up strategy for women after gestational diabetes nor evidence that eHealth technologies are superior to conventional follow-up. Further research into the utility of eHealth in cardiovascular follow-up after complicated pregnancies should include longer-term follow-up and core cardiovascular outcomes. SYSTEMATIC REVIEW REGISTRATION: The protocol for this scoping review was published at Open Science Framework (osf.io/p5hw6).

Family history of premature myocardial infarction, life course socioeconomic position and coronary heart disease mortality--A Cohort of Norway (CONOR) study.

BACKGROUND/OBJECTIVES: To investigate self-reported family history (FH) of premature myocardial infarction (MI) in first-degree relatives as a risk factor for coronary heart disease (CHD) mortality, and assess whether any observed effect could be explained by current or life course socioeconomic position. METHODS: 130,066 participants from Cohort of Norway were examined during 1994-2003. A subgroup (n=84,631) had additional life course socioeconomic data. Using Cox proportional hazard analyses, we calculated hazard ratios (HR) for CHD mortality, assessed by linkages to the Norwegian Cause of Death Registry through 2009. For subgroup analyses, we created an index of life course socioeconomic position, and assessed its role as a potential confounder in the association of FH with CHD. RESULTS: For men, MI in parents and siblings were both a significant risk factor for CHD mortality after adjusting for established risk factors and current socioeconomic conditions; the highest risk was with MI in siblings (HR: 1.44 [1.19-1.75]). For women, FH constituted significant risk after similar adjustment only for those with MI in parents plus siblings (HR: 1.78 [1.16-2.73]). Adjusting for current and life course socioeconomic conditions only marginally lowered the estimates, and those with FH did not have worse life course socioeconomic position than those without. CONCLUSIONS: FH of premature MI is an independent risk factor for CHD mortality that differs in magnitude of effect by the sex of the index person and type of familial relationship. Life course socioeconomic position has little impact on the association between FH and CHD, suggesting the effect is not confounded by this.