Relationship between iron metabolism and gestational diabetes mellitus: A systemic review and meta analysis.


Journal

Asia Pacific journal of clinical nutrition
ISSN: 1440-6047
Titre abrégé: Asia Pac J Clin Nutr
Pays: China
ID NLM: 9440304

Informations de publication

Date de publication:
2022
Historique:
entrez: 29 6 2022
pubmed: 30 6 2022
medline: 2 7 2022
Statut: ppublish

Résumé

To investigate the relationship between serum iron metabolism indexes and gestational diabetes mellitus (GDM) using a meta-analysis. Databases including PubMed, Web of Science, Embase, and Cochrane Library were searched. Prospective cohort or case-control studies evaluating the relationships between serum iron metabolism indexes and GDM were retrieved from these data-bases. The outcome indicators, such as mean ± standard deviation, relative risk (RR), or odds ratio (OR) were extracted. The RR or OR, standard mean difference (SMD), and 95% confidence interval (CI) were used to calculate the combined effect sizes. A total of 32 studies on the relationships between serum iron metabolic indexes and GDM were included. The serum iron [SMD=0.40 mg/dL, 95% CI (0.16, 0.64), p=0.001], ferritin [SMD=0.58 ng/mL, 95% CI (0.35, 0.81), p˂0.001], hemoglobin [SMD=0.48 g/dL, 95% CI (0.28, 0.67), p˂0.001], transferrin saturation [SMD=0.83%, 95% CI (0.15, 1.52), p=0.000], and hepcidin [SMD=0.63 ng/mL, 95% CI (0.09, 1.18), p=0.023] levels were higher in the GDM group than in the non-GDM group, whereas total iron binding ability [SMD = -0.53 μg/dL, 95% CI (-1.05, -0.02), p=0.001] was lower in the GDM group than in the non-GDM group. High serum ferritin [OR=1.92, 95% CI (1.59, 2.32), p˂0.001] and hemoglobin levels [OR=1.30, 95% CI (1.04,1.63), p=0.023] were associated with GDM risk. Serum iron, ferritin, transferrin saturation, hepcidin, and hemoglobin levels were higher and total iron binding ability was lower in GDM patients than in those without GDM. High serum ferritin and hemoglobin levels were associated with GDM risk.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
To investigate the relationship between serum iron metabolism indexes and gestational diabetes mellitus (GDM) using a meta-analysis.
METHODS AND STUDY DESIGN METHODS
Databases including PubMed, Web of Science, Embase, and Cochrane Library were searched. Prospective cohort or case-control studies evaluating the relationships between serum iron metabolism indexes and GDM were retrieved from these data-bases. The outcome indicators, such as mean ± standard deviation, relative risk (RR), or odds ratio (OR) were extracted. The RR or OR, standard mean difference (SMD), and 95% confidence interval (CI) were used to calculate the combined effect sizes.
RESULTS RESULTS
A total of 32 studies on the relationships between serum iron metabolic indexes and GDM were included. The serum iron [SMD=0.40 mg/dL, 95% CI (0.16, 0.64), p=0.001], ferritin [SMD=0.58 ng/mL, 95% CI (0.35, 0.81), p˂0.001], hemoglobin [SMD=0.48 g/dL, 95% CI (0.28, 0.67), p˂0.001], transferrin saturation [SMD=0.83%, 95% CI (0.15, 1.52), p=0.000], and hepcidin [SMD=0.63 ng/mL, 95% CI (0.09, 1.18), p=0.023] levels were higher in the GDM group than in the non-GDM group, whereas total iron binding ability [SMD = -0.53 μg/dL, 95% CI (-1.05, -0.02), p=0.001] was lower in the GDM group than in the non-GDM group. High serum ferritin [OR=1.92, 95% CI (1.59, 2.32), p˂0.001] and hemoglobin levels [OR=1.30, 95% CI (1.04,1.63), p=0.023] were associated with GDM risk.
CONCLUSIONS CONCLUSIONS
Serum iron, ferritin, transferrin saturation, hepcidin, and hemoglobin levels were higher and total iron binding ability was lower in GDM patients than in those without GDM. High serum ferritin and hemoglobin levels were associated with GDM risk.

Identifiants

pubmed: 35766560
doi: 10.6133/apjcn.202206_31(2).0010
doi:

Substances chimiques

Hemoglobins 0
Hepcidins 0
Transferrins 0
Ferritins 9007-73-2
Iron E1UOL152H7

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

242-254

Auteurs

Kaili Yang (K)

The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.

Yaxian Yang (Y)

The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.

Binjing Pan (B)

The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.

Songbo Fu (S)

The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.

Jianguo Cheng (J)

The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.

Jingfang Liu (J)

The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China. Email: ljf824168@126.com.
Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.

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Classifications MeSH