scholarly journals The Predictive Value of Selenium in Diagnosis of Gestational Diabetes: A Nested Case-Control Study

2020 ◽  
Vol Volume 13 ◽  
pp. 53-60
Author(s):  
Zeinab Moshfeghy ◽  
Khadigeh Bashiri ◽  
Mohammad H Dabbaghmanesh ◽  
Marzieh Akbarzadeh ◽  
Nasrin Asadi ◽  
...  
Keyword(s):  
Gestational Diabetes ◽  
Predictive Value ◽  
Case Control Study ◽  
Case Control ◽  
Nested Case Control ◽  
Control Study

scholarly journals Antidepressant use during pregnancy and the risk of gestational diabetes mellitus: a nested case–control study

BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e025908 ◽  
Author(s):  
Maëlle Dandjinou ◽  
Odile Sheehy ◽  
Anick Bérard
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Index Date ◽  
Case Control Study ◽  
Case Control ◽  
Increased Risk ◽  
Antidepressant Use ◽  
Nested Case Control ◽  
Control Study

ObjectivesThe aim of this study was to determine the association between antidepressant (AD) classes, types and duration of use during pregnancy and the risk of gestational diabetes mellitus (GDM).Design and settingA nested case–control study was conducted within the Quebec Pregnancy Cohort (QPC), a Canadian provincial database which includes data on all pregnancies and children in Quebec from January 1998 to December 2015.Primary outcome measuresGestational diabetes mellitus.ParticipantsCases of GDM were identified after week 20 of pregnancy and randomly matched 1:10 to controls on gestational age at index date (ie, calendar date of GDM) and year of pregnancy. AD exposure was assessed by filled prescriptions between the beginning of pregnancy (first day of last menstrual period) and index date. Conditional logistic regression models were used to estimate crude and adjusted odds ratios (aOR).ResultsAmong 20 905 cases and 209 050 matched controls, 9741 (4.2%) women were exposed to ADs. When adjusting for potential confounders, AD use was associated with an increased risk of GDM (aOR 1.19, 95% CI 1.08 to 1.30); venlafaxine (aOR 1.27, 95% CI 1.09 to 1.49) and amitriptyline (aOR 1.52, 95% CI 1.25 to 1.84) were also associated with an increased risk of GDM. Moreover, the risk of GDM was increased with longer duration of AD use, specifically for serotonin norepinephrine reuptake inhibitors, tricyclic ADs and combined use of two AD classes. No statistically significant association was observed for selective serotonin reuptake inhibitors.ConclusionThe findings suggest that ADs—and specifically venlafaxine and amitriptyline—were associated with an increased risk of GDM.

scholarly journals Sequential Measurements of Pentraxin 3 Serum Levels in Patients with Ventilator-Associated Pneumonia: A Nested Case-Control Study

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Huseyin Bilgin ◽  
Murat Haliloglu ◽  
Ali Yaman ◽  
Pinar Ay ◽  
Beliz Bilgili ◽  
...  
Keyword(s):  
Predictive Value ◽  
Case Control Study ◽  
Tertiary Care ◽  
Case Control ◽  
Surgical Intensive Care Unit ◽  
Ventilator Associated Pneumonia ◽  
Pentraxin 3 ◽  
Surgical Intensive Care ◽  
Nested Case Control ◽  
Control Study

Purpose. The main purpose of this study was to investigate the dynamics of pentraxin 3 (PTX3) compared with procalcitonin (PCT) and C-reactive protein (CRP) in patients with suspicion of ventilator-associated pneumonia (VAP). Materials and Methods. We designed a nested case-control study. This study was performed in the Surgical Intensive Care Unit of a tertiary care academic university and teaching hospital. Ninety-one adults who were mechanically ventilated for >48 hours were enrolled in the study. VAP diagnosis was established among 28 patients following the 2005 ATS/IDSA guidelines. Results. The median PTX3 plasma level was 2.66 ng/mL in VAP adults compared to 0.25 ng/mL in non-VAP adults (p<0.05). Procalcitonin and CRP levels did not significantly differ. Pentraxin 3, with a 2.56 ng/mL breakpoint, had 85% sensitivity, 86% specificity, 75% positive predictive value, and 92.9% negative predictive value for VAP diagnosis (AUC = 0.78). Conclusions. With the suspicion of VAP, a pentraxin 3 plasma breakpoint of 2.56 ng/mL could contribute to the decision of whether to start antibiotics.

scholarly journals Trimethylamine N-Oxide Metabolites in Early Pregnancy and Risk of Gestational Diabetes: A Nested Case-Control Study

2019 ◽  
Vol 104 (11) ◽  
pp. 5529-5539 ◽  
Author(s):  
Xiaoxu Huo ◽  
Jing Li ◽  
Yun-Feng Cao ◽  
Sai-Nan Li ◽  
Ping Shao ◽  
...  
Keyword(s):  
Gestational Diabetes ◽  
Early Pregnancy ◽  
Case Control Study ◽  
Conditional Logistic Regression ◽  
Full Range ◽  
Case Control ◽  
Conversion Ratio ◽  
Additive Interaction ◽  
Nested Case Control ◽  
Control Study

Abstract Objectives This study aimed to investigate the associations between trimethylamine N-oxide (TMAO) and related metabolites in early pregnancy and the risk of gestational diabetes mellitus (GDM). Design A prospective cohort of 22,302 pregnant women from 2010 to 2012 in Tianjin, China, was used to perform a nested case-control study. A total of 243 women with GDM and 243 women without GDM matched by maternal age (±1 year) were used as cases and controls, respectively. Conditional logistic regression and restricted cubic spline were used to examine the full-range risk associations between individual TMAOs metabolites at the first antenatal care visit with GDM. Trimethylamine conversion ratio (TMAR) was defined as trimethylamine (TMA)/its precursors, and trimethylamine N-oxide conversion ratio (TMAOR) was defined as TMAO/TMA. An additive interaction between high TMAR and low TMAOR indicates a state of TMA accumulation, and a mathematical interaction between high TMAR and high TMAOR indicates accumulation of TMAO. Results TMA was linearly associated with GDM, whereas TMA precursors and TMAO were inversely associated with GDM with clear threshold effects, i.e., 16 nmol/mL for TMAO, 200 nmol/mL for betaine, 112 nmol/mL for l-carnitine, and 110 and 270 nmol/mL for cholinechloride (a U-shaped relationship). Copresence of TMAR >0.35 and TMAOR ≤0.15 was associated with a markedly higher OR (11.16; 95% CI, 5.45 to 22.8), compared with TMAR >0.35 only (OR = 1.71; 95% CI, 0.42 to 6.95) or TMAOR ≤0.15 only (OR = 2.06; 95% CI, 1.09 to 3.90), with a significant additive interaction. However, the mathematical interaction was nonsignificant. Conclusions TMAO metabolites in the early pregnancy were associated with the risk of GDM, whereas TMA was more likely to play a causal role in GDM.

scholarly journals Associations of Bisphenol Exposure With The Risk of Gestational Diabetes Mellitus: A Nested Case-Control Study In Guangxi, China

2021 ◽  
Author(s):  
Peng Tang ◽  
Jun Liang ◽  
Qian Liao ◽  
Huishen Huang ◽  
Xiaojing Guo ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Case Control Study ◽  
Conditional Logistic Regression ◽  
Case Control ◽  
Negatively Associated ◽  
Increased Risk ◽  
Nested Case Control ◽  
Control Study

Abstract A growing number of epidemiologic studies have estimated the associations between endocrine-disrupting chemicals and gestational diabetes mellitus (GDM). However, reports on the association between bisphenol A (BPA) substitutes and GDM are limited. This investigation aimed to explore the associations of maternal serum BPA, bisphenol B (BPB), bisphenol F (BPF), bisphenol S (BPS), and tetrabromobisphenol A (TBBPA) with the risk of GDM. A nested case-control study was performed among 500 pregnant women. Associations between the serum bisphenol levels and the risk of GDM were assessed by conditional logistic regression analysis and two-mixture modeling approaches (Bayesian kernel machine regression [BKMR] and quantile g-computation). BPA and TBBPA were negatively associated with the risk of GDM in the adjusted models, respectively. Intermediate BPS levels were associated with increased odds (OR: 1.84; 95% CI: 1.04, 3.27) of GDM compared with the low concentration groups only based on the single-bisphenol models. Associations between BPA, BPS, and TBBPA with the risk of GDM were also found in the BKMR analysis. The quantile g-computation (OR: 0.55; 95% CI: 0.43, 0.69) and BKMR models revealed a statistically significant and negative joint effect of the five bisphenols on the risk of GDM. This study demonstrates the association between exposure to BPS with the increased risk of GDM. In addition, exposure to BPA and TBBPA were associated with the reduced risk of GDM. Moreover, exposure to the mixture of the five bisphenols was negatively associated with the risk of GDM.

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