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Objective@#To explore the dose-response relationship between pre-pregnancy body mass index (BMI) and gestational diabetes mellitus (GDM), so as to provide insights into the cut-off values of pre-pregnancy BMI and optimizing GDM prevention and control strategies. @*Methods@#Pregnant women that admitted to Zhengzhou Central hospital in 2021 were recruited, and demographics, family history, pregnancy and delivery history and blood glucose levels during pregnancy were collected. The dose-response relationship between pre-pregnancy BMI and GDM was analyzed using restricted cubic spline (RCS) analysis. The predictive ability of pre-pregnancy BMI for GDM risk was evaluated using receiver operating characteristic (ROC) curve. @*Results@#A total of 2 279 participants were included in the study. The median age was 29.0 (interquartile range, 5.0) years. The median pre-pregnancy BMI was 21.1 (interquartile range, 3.8) kg/m2. There were 312 underweight women (13.69%), 825 women with low-normal weight (36.20%), 730 women with high-normal weight (32.03%), 345 overweight women (15.14%) and 67 obese women (2.94%).The prevalence of GDM was 17.20%. RCS analysis suggested a linear dose-response relationship between age, pre-pregnancy BMI and GDM (P<0.05). When pre-pregnancy BMI was higher than 21.1 kg/m2, the risk of GDM increased with pre-pregnancy BMI (P<0.05). When women aged over 29.0 years, the risk of GDM increased with age, and the dose-response relationship of GDM caused by pre-pregnancy BMI was stronger in the women aged over 29.0 years than in the women aged 29.0 years and below (P<0.05). The area under curve (AUC) was 0.654 (95%CI: 0.624-0.684). If the cut-off value of pre-pregnancy BMI was 23.0 kg/m2, the Youden index, sensitivity and specificity was 0.238, 0.472 and 0.766, respectively. If it was 24.0 kg/m2, the Youden index, sensitivity and specificity was 0.195, 0.342 and 0.853, respectively. If it was 21.1 kg/m2, the Youden index, sensitivity and specificity was 0.213, 0.676 and 0.537, respectively.@* Conclusions @# There is a linear dose-response relationship between pre-pregnancy BMI and GDM, and higher than 21.1 kg/m2 of the pre-pregnancy BMI could increase the risk of GDM.
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Objective This meta-analysis aimed to investigate the association of leptin levels with pathogenetic risk of CHD and stroke. Materials and methods Studies were identified in the PubMed, Embase, and Springer link database without language restriction. Odds ratios (ORs) and corresponding 95% confidence intervals (95% CIs) were used as effect indexes. The association of leptin levels with pathogenetic risk of CHD and stroke, as well as the risk variation of CHD with each additional one unit of leptin level were examined via meta-analysis. The publication bias was assessed via Egger’s linear regression test. Results Eight nested case-control studies consisting of 1,980 patients and 11,567 controls were included for current meta-analysis. ORs (95% CIs) of association of leptin levels with CHD and stroke was 1.90 (1.06, 3.43), and 2.14 (1.48, 3.08), respectively. In addition, significant result was obtained regarding the risk variation of CHD with each additional one unit of leptin level (OR =1.04, 95% CI =1.00‐1.08, P=0.044). There was no significant publication bias as suggested by Egger test outcomes. Conclusion There was a significant association of leptin with pathogenetic risk of CHD and stroke, and raised leptin levels could significantly increase the pathogenetic risk of CHD. .
Objetivo O objetivo desta metanálise foi investigar a associação entre os níveis de leptina e o risco patogenético de doença arterial coronariana e acidente vascular cerebral. Materiais e métodos Foram identificados estudos nas bases de dados PubMed, Embase e Springer Link sem restrição quanto à língua. A razão de chances (OR) e os intervalos de confiança de 95% correspondentes (95% CI) foram usados como índices de efeitos. A associação entre os níveis de leptina e o risco patogenético de doença arterial coronariana e acidente vascular cerebral com cada unidade adicional na concentração de leptina foi analisada por meio de metanálise. O viés da publicação foi avaliado por meio do teste de regressão linear de Egger. Resultados Oito estudos com caso controle aninhado envolvendo 1.980 pacientes e 11.567 controles foram incluídos na metanálise. As ORs (95% CIs) da associação entre as concentrações de leptina e a doença arterial coronariana e o acidente vascular cerebral foram de 1,90 (1,06; 3,43) e 2,14 (1,48; 3,08), respectivamente. Além disso, foram obtidos resultados significativos com a variação de risco para a doença arterial coronariana a cada unidade adicional na concentração de leptina (OR =1,04; 95% CI =1,00‐1,08; P=0,044). Não houve viés de publicação significativo sugerido pelos desfechos no teste de Egger. Conclusão Há associação significativa entre a leptina e o risco patogenético de doença arterial coronariana e acidente vascular cerebral, e concentrações aumentadas de leptina podem elevar significativamente o risco patogenético de doença arterial coronariana. .