Associations of prognostic nutritional index with risk of all-cause and cardiovascular disease mortalities in persons with gestational diabetes mellitus: A NHANES-based analysis

• Published in: Diabetes & vascular disease research Vol. 21; no. 5; p. 14791641241284409
• Main Authors: Cao, Jianfang, Bu, Xiao, Chen, Juping, Zhang, Xia
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.09.2024
• Subjects: Adult; Cardiovascular Diseases - diagnosis; Cardiovascular Diseases - mortality; Cardiovascular Diseases - physiopathology; Cause of Death; Cross-Sectional Studies; Diabetes, Gestational - diagnosis; Diabetes, Gestational - mortality; Diabetes, Gestational - physiopathology; Female; Humans; Middle Aged; Nutrition Assessment; Nutrition Surveys; Nutritional Status; Original; Pregnancy; Prognosis; Risk Assessment; Risk Factors; Time Factors; United States - epidemiology; Young Adult; United States; Gestational diabetes mellitus; all-cause mortality risk; prognostic nutritional index; cardiovascular disease mortality risk; national health and nutrition examination survey
• ISSN: 1479-1641; 1752-8984; 1752-8984
• DOI: 10.1177/14791641241284409

Objective To investigate relationships between prognostic nutritional index (PNI) during pregnancy and risk of all-cause mortality (ACM) and cardiovascular disease (CVD) mortality in persons with gestational diabetes mellitus (GDM). Methods A cross-sectional study was conducted using NHANES data from 2007 to 2018, and weighted Cox regression models were established. Restricted cubic spline analysis was used to unveil associations of PNI with risk of ACM and CVD mortalities in individuals with GDM. Receiver operating characteristic curve was employed for determination of threshold value for association of PNI with mortality. Sensitivity analysis was performed to verify the stability of the results. Results 734 GDM individuals and 7987 non-GDM individuals were included in this study. In GDM population, after adjusting for different categorical variables, PNI was significantly negatively correlated with ACM risk. Subgroup analysis showed that among GDM populations with no physical activity, moderate physical activity, parity of 1 or 2, negative correlation between PNI and risk of ACM was stronger than other subgroups. Sensitivity analysis results showed stable negative correlations between PNI and ACM and CVD mortality of total population, and between PNI and ACM of GDM. Conclusion In individuals with GDM, PNI was negatively correlated with ACM risk, especially in populations with no physical activity, moderate physical activity, and parity of 1 or 2. PNI = 50.75 may be an effective threshold affecting ACM risk in GDM, which may help in risk assessment and timely intervention for individuals with GDM.