scholarly journals The Clinical Values of Afamin, Triglyceride and PLR in Predicting Risk of Gestational Diabetes During Early Pregnancy

2021 ◽  
Vol 12 ◽  
Author(s):  
Xuechun Wang ◽  
Xiuqiong Zheng ◽  
Jianying Yan ◽  
Rongli Xu ◽  
Mu Xu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gestational Diabetes ◽  
Pregnant Women ◽  
Early Pregnancy ◽  
Predictive Value ◽  
Maternal Age ◽  
Multivariate Logistic Regression Analysis ◽  
Oral Glucose ◽  
Aneuploidy Screening ◽  
Independent Risk Factors

ObjectiveTo establish a model to predict gestational diabetes mellitus (GDM) based on the clinical characteristics, early pregnancy (10-12 weeks gestation) peripheral blood routine, and biochemical indicators, and to explore its predictive efficiencies.MethodsData from 607 pregnant women with GDM were compared to the data from 833 pregnant women without GDM admitted to the Obstetrics Department of Fujian Maternity and Child Health Hospital (affiliated to Fujian Medical University) from May 2018 to December 2018 were retrospectively included. The ages of the pregnant women, paternal ages, number of pregnancies, number of deliveries, pre-pregnancy heights/weights, and the calculated body mass indexes (BMI) were recorded. In all participants, 10-12 weeks of pregnancy, afamin concentration, routine blood work, prenatal aneuploidy screening, and biochemical testing were performed. At weeks 24-28 of gestation, patients underwent oral glucose tolerance test (OGTT) for GDM screening.ResultsMultivariate logistic regression analysis showed that maternal age, early pregnancy afamin level, triglycerides, and platelet/lymphocyte ratio (PLR) were independent risk factors for gestational diabetes. The formula for predicting GDM probability was as follows: P = 1/1 + exp( − 6.054 + 0.774 × triglycerides + 0.002 × afamin + 0.155 × age − 0.012 × PLR)]. From the established ROC curve, the area under the curve (AUC) was 0.748, indicating that the model has a good degree of discrimination. When the predictive probability cut-off value was set on 0.358, sensitivity, specificity, positive predictive value, and negative predictive value were 69.2%, 68.3%, 42.5%, and 86.2%, respectively, and the accuracy rate was 70.2%. The Hosmer-Lemeshow test results showed that the goodness of the model fit has a good calibration ability (χ2 = 12.269, df=8, P=0.140).ConclusionsMaternal age, early pregnancy afamin level, triglycerides, and PLR are independent risk factors for gestational diabetes. When combined, the above indicators are helpful for prediction, early diagnosis, and intervention of gestational diabetes.

scholarly journals Association of Biomarkers Related to Preoperative Inflammatory and Coagulation with Postoperative In-Hospital Deaths in Patients with Type A Acute Aortic Dissection

2021 ◽  
Author(s):  
Ming Li ◽  
Haifeng Sun ◽  
Suochun Xu ◽  
Yang Yan ◽  
Haichen Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Predictive Value ◽  
Multivariate Logistic Regression Analysis ◽  
Type A ◽  
Hospital Deaths ◽  
Independent Risk Factors ◽  
D Dimer

Abstract Background: The aim of this study was to analyze the predictive value of biomarkers related to preoperative inflammatory and coagulation in the prognosis of patients with type A acute aortic dissection (AAD). Methods: A total of 206 patients with type A AAD who had received surgical treatment were enrolled. Patients were divided into two groups according to whether they died during hospitalization. Peripheral blood samples were collected before anesthesia induction. Preoperative levels of D-dimer, fibrinogen (FIB), platelet (PLT), white blood cells (WBC) and neutrophil (NEU) between the two groups were compared. Univariate and multivariate logistic regression analysis were utilized to identify the independent risk factors for postoperative in-hospital deaths of patients with type A AAD. Receiver operating characteristic (ROC) curve were used to analyze the predictive value of D-dimer, FIB, PLT, WBC, NEU and CRP in the prognosis of the patients. Results: Univariate logistic regression analysis showed that the P values of the five parameters including D-dimer, FIB, PLT, WBC and NEU were all less than 0.1, which may be risk factors for postoperative in-hospital deaths of patients with type A AAD. Further multivariate logistic regression analysis indicated that higher preoperative D-dimer and WBC levels were independent risk factors for in-hospital deaths of patients with type A AAD. ROC curve analysis indicated that FIB+PLT combination is provided with the highest predictive value for in-hospital deaths.Conclusion: Both preoperative D-dimer and WBC in patients with type A AAD may be used as independent risk factors for the prognosis of such patients. Combined use of FIB and PLT may improve the accuracy and accessibility of clinical prognostic assessment.

scholarly journals Early alterations of circulating immune cell counts in severe trauma patients are related to later occurrence of nosocomial infection, sepsis and mortality

2019 ◽  
Author(s):  
Xijie Dong ◽  
Chuntao Wang ◽  
Xinghua Liu ◽  
Xiangjun Bai ◽  
Zhanfei Li
Keyword(s):  
Risk Factors ◽  
Nosocomial Infection ◽  
Predictive Value ◽  
Injury Severity ◽  
Immune Cell ◽  
Multivariate Logistic Regression Analysis ◽  
Severe Trauma ◽  
Pronounced Increase ◽  
Cell Counts ◽  
Independent Risk Factors

Abstract Background: Severe trauma leads to extensive disturbances of the innate and adaptive arms of the immune system, which in turn may affect the prognosis. The main objective of this study was to investigate the relationship between the alterations of circulating immune cell counts in the early stage of severe trauma and the later occurrence of nosocomial infection, sepsis and mortality. Methods: This was a retrospective study of 876 patients with an Injury Severity Score (ISS) ≥ 16. Demographic data, the absolute counts of neutrophil, lymphocyte and monocyte (ANC, ALC and AMC) on days 1, 3, and 7 (D1, D3, and D7) after trauma, and whether nosocomial infection, sepsis or death occurred within 60 days were recorded. Ratios were calculated between immune cell counts of each two time points, namely day 3/day 1 (D3/D1) and day 7/day 3 (D7/D3). Patients were grouped based on ISS and the occurrence of nosocomial infection, sepsis or death. Comparative studies were conducted between each two groups. Univariate and multivariate logistic regression analysis were used to identify variables related to the risk of nosocomial infection, sepsis, and mortality. Receiver operating characteristic (ROC) curve was plotted to assess the predictive value of various risk factors. Results: More severe trauma leads to more pronounced increase in ANC and more slowly recovery of ALC. In patients with subsequent nosocomial infection and sepsis, ANC was higher and ALC recovery was slower than those without nosocomial infection and sepsis within 7 days. In non-survivors, ALC had not recovered and AMC (D3) and AMC (D7) was lower than survivors within 7 days. ALC (D3) and ALC (D3/D1) are independent risk factors for nosocomial infection and sepsis. ALC (D3), ALC (D3/D1), ALC (D7) and AMC (D7) are independent risk factors for death. The combination of ALC (D3/D1) and ALC (D3) had a good predictive value for the occurrence of nosocomial infection, sepsis, and mortality. Conclusions: More severe trauma causes more intense interference to circulating immunocyte counts. Worse alterations in circulating immunocyte counts within 7 days may increase the risk of subsequent nosocomial infection, sepsis and mortality.

scholarly journals How does antenatal lifestyle affect the risk for gestational diabetes mellitus? A secondary cohort analysis from the GeliS trial

2021 ◽  
Author(s):  
Julia Günther ◽  
Julia Hoffmann ◽  
Lynne Stecher ◽  
Monika Spies ◽  
Kristina Geyer ◽  
...  
Keyword(s):  
Mental Health ◽  
Diabetes Mellitus ◽  
Risk Factors ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Early Pregnancy ◽  
Vigorous Physical Activity ◽  
Significant Risk ◽  
Well Being ◽  
Oral Glucose

Abstract Objectives We aimed to investigate the predictive potential of early pregnancy factors such as lifestyle, gestational weight gain (GWG) and mental well-being on gestational diabetes mellitus (GDM) beyond established risk factors. Methods GDM risk was investigated in the cohort of the German ‘Gesund leben in der Schwangerschaft’/healthy living in pregnancy study. Women were recruited up to the 12th week of gestation. GDM was diagnosed with a 75 g oral glucose tolerance test between the 24th and 28th weeks of gestation. Pre-pregnancy age and weight, mental health and lifestyle were assessed via questionnaires. Maternal weight was measured throughout pregnancy. Early excessive GWG was defined based on the guidelines of the Institute of Medicine. The association between several factors and the odds of developing GDM was assessed using multiple logistic regression analyses. Results Of 1694 included women, 10.8% developed GDM. The odds increased with pre-pregnancy BMI and age (women with obesity: 4.91, CI 3.35–7.19, p < 0.001; women aged 36–43 years: 2.84, CI 1.45–5.56, p = 0.002). Early excessive GWG, mental health and general lifestyle ratings were no significant risk factors. A 31% reduction in the odds of GDM was observed when <30% of energy was consumed from fat (OR 0.69, CI 0.49–0.96, p = 0.026). Vigorous physical activity tended to lower the odds without evidence of statistical significance (OR 0.59 per 10 MET-h/week, p = 0.076). Conclusions Maternal age and BMI stand out as the most important drivers of GDM. Early pregnancy factors like dietary fat content seem to be associated with GDM risk. Further evaluation is warranted before providing reliable recommendations.

scholarly journals Establishment of a nomogram model to predict macrosomia in pregnant women with gestational diabetes mellitus

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yujiao Zou ◽  
Yan Zhang ◽  
Zhenhua Yin ◽  
Lili Wei ◽  
Bohan Lv ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Logistic Regression ◽  
Gestational Diabetes ◽  
Confidence Interval ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
External Validation ◽  
Amniotic Fluid Index ◽  
Independent Risk Factors

Abstract Aim To establish a nomogram model to predict the risk of macrosomia in pregnant women with gestational diabetes mellitus in China. Methods We retrospectively collected the medical records of 783 pregnant women with gestational diabetes who underwent prenatal examinations and delivered at the Affiliated Hospital of Qingdao University from October 2019 to October 2020. The pregnant women were randomly divided into two groups in a 4:1 ratio to generate and validate the model. The independent risk factors for macrosomia in pregnant women with gestational diabetes mellitus were analyzed by multivariate logistic regression, and the nomogram model to predict the risk of macrosomia in pregnant women with gestational diabetes mellitus was established and verified by R software. Results Logistic regression analysis showed that prepregnancy body mass index, weight gain during pregnancy, fasting plasma glucose, triglycerides, biparietal diameter and amniotic fluid index were independent risk factors for macrosomia (P < 0.05). The areas under the ROC curve for internal and external validation of the model were 0.813 (95 % confidence interval 0.754–0.862) and 0.903 (95 % confidence interval 0.588–0.967), respectively. The calibration curve was a straight line with a slope close to 1. Conclusions In this study, we constructed a nomogram model to predict the risk of macrosomia in pregnant women with gestational diabetes mellitus. The model has good discrimination and calibration abilities, which can help clinical healthcare staff accurately predict macrosomia in pregnant women with gestational diabetes mellitus.

scholarly journals Distinct Metabolic Profile in Early Pregnancy of Overweight and Obese Women Developing Gestational Diabetes

2019 ◽  
Vol 150 (1) ◽  
pp. 31-37 ◽  
Author(s):  
Kati Mokkala ◽  
Tero Vahlberg ◽  
Outi Pellonperä ◽  
Noora Houttu ◽  
Ella Koivuniemi ◽  
...  
Keyword(s):  
Amino Acids ◽  
Gestational Diabetes ◽  
Pregnant Women ◽  
Early Pregnancy ◽  
Metabolic Profile ◽  
Medical Condition ◽  
Oral Glucose ◽  
Low Grade ◽  
Obese Women ◽  
Characteristic Analysis

ABSTRACT Background Reliable biomarkers for gestational diabetes mellitus (GDM) would be beneficial in the early prevention of adverse metabolic outcomes during pregnancy and beyond. Objectives The objective of this study was to investigate whether the early pregnancy serum metabolic profile differs in women developing GDM from those remaining healthy. Furthermore, we evaluated the potential of these metabolites to act as predictive markers for GDM. Methods This was a prospective study investigating overweight and obese [prepregnancy BMI (in kg/m2) ≥25 and &gt;30, respectively] pregnant women (prepregnancy median BMI: 28.5; IQR: 26.4–31.5; n = 357). Fasting serum samples were analyzed with a targeted NMR approach in early pregnancy (median: 14.3 weeks of gestation). GDM was diagnosed on the basis of a 2-h, 75-g oral-glucose-tolerance test at a median of 25.7 weeks of gestation. Results In early pregnancy, 78 lipid metabolites differed in women who later developed GDM (n = 82) compared with those who remained healthy (n = 275) (ANCOVA, adjusted for confounding factors and corrected for multiple comparisons; false discovery rate &lt;0.05). Higher concentrations of several-sized VLDL particles and medium- and small-sized HDL particles, and lower concentrations of very large-sized HDL particles, were detected in women developing GDM. Furthermore, concentrations of amino acids including 2 branched-chain amino acids, isoleucine and leucine, and GlycA, a marker for low-grade inflammation, were higher in women who developed GDM. Receiver operating characteristic analysis revealed that the most predictive marker for GDM was a higher concentration of small-sized HDL particles (AUC: 0.71; 95% CI: 0.67, 0.77; P &lt; 0.001). Conclusions We identified a distinct early pregnancy metabolomic profile especially attributable to small HDL particles in women developing GDM. The aberrant metabolic profile could represent a novel way to allow early identification of this most common medical condition affecting pregnant women. This trial was registered at clinicaltrials.gov as NCT01922791.

scholarly journals Burden, risk factors and outcomes associated with gestational diabetes in a population-based cohort of pregnant women from North India

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Stuti Bahl ◽  
Neeta Dhabhai ◽  
Sunita Taneja ◽  
Pratima Mittal ◽  
Rupali Dewan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Clinical Trial ◽  
Caesarean Section ◽  
Gestational Diabetes ◽  
Pregnant Women ◽  
Pregnancy Outcomes ◽  
Population Based ◽  
Adverse Pregnancy Outcomes ◽  
Oral Glucose ◽  
Adverse Pregnancy

Abstract Background The burden of gestational diabetes mellitus (GDM) appears to be increasing in India and may be related to the double burden of malnutrition. The population-based incidence and risk factors of GDM, particularly in lower socio-economic populations, are not known. We conducted analyses on data from a population-based cohort of pregnant women in South Delhi, India, to determine the incidence of GDM, its risk factors and association with adverse pregnancy outcomes (stillbirth, preterm birth, large for gestational age babies) and need for caesarean section. Methods We analyzed data from the intervention group of the Women and Infants Integrated Interventions for Growth Study (WINGS), an individually randomized factorial design trial. An oral glucose tolerance test (OGTT) was performed at the time of confirmation of pregnancy, and for those who had a normal test (≤140 mg), it was repeated at 24–28 and at 34–36 weeks. Logistic regression was performed to ascertain risk factors associated with GDM. Risk ratios (RR) were calculated to find association between GDM and adverse pregnancy outcomes and need for caesarean section. Results 19.2% (95% CI: 17.6 to 20.9) pregnant women who had at least one OGTT were diagnosed to have GDM. Women who had prediabetes at the time of confirmation of pregnancy had a significantly higher risk of developing GDM (RR 2.08, 95%CI 1.45 to 2.97). Other risk factors independently associated with GDM were woman’s age (adjusted OR (AOR) 1.10, 95% CI 1.06 to 1.15) and BMI (AOR 1.04, 95% CI 1.01 to 1.07). Higher maternal height was found to be protective factor for GDM (AOR 0.98, 95% CI 0.96 to 1.00). Women with GDM, received appropriate treatment did not have an increase in adverse outcomes and no increased need for caesarean section Conclusions A substantial proportion of pregnant women from a low to mid socio-economic population in Delhi had GDM, with older age, higher BMI and pre-diabetes as important risk factors. These findings highlight the need for interventions for prevention and provision of appropriate management of GDM in antenatal programmes. Clinical trial registration Clinical Trial Registry – India, #CTRI/2017/06/008908 (http://ctri.nic.in/Clinicaltrials/pmaindet2.php?trialid=19339&EncHid=&userName=society%20for%20applied%20studies).

scholarly journals Burden, Risk Factors and Outcomes Associated with Gestational Diabetes in A Population-Based Cohort of Pregnant Women from North India

2021 ◽  
Author(s):  
Stuti Bahl ◽  
Neeta Dhabhai ◽  
Sunita Taneja ◽  
Pratima Mittal ◽  
Rupali Dewan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Clinical Trial ◽  
Caesarean Section ◽  
Gestational Diabetes ◽  
Pregnant Women ◽  
Pregnancy Outcomes ◽  
Population Based ◽  
Adverse Pregnancy Outcomes ◽  
Oral Glucose ◽  
Adverse Pregnancy

Abstract Background: The burden of gestational diabetes mellitus (GDM) appears to be increasing in India and may be related to the double burden of malnutrition. The population-based incidence and risk factors of GDM, particularly in lower socio-economic populations, are not known. We conducted analyses on data from a population-based cohort of pregnant women in South Delhi, India, to determine the incidence of GDM, its risk factors and association with adverse pregnancy outcomes (stillbirth, preterm birth, large for gestational age babies) and need for caesarean section. Methods: We analyzed data from the intervention group of the Women and Infants Integrated Interventions for Growth Study (WINGS), an individually randomized factorial design trial. An oral glucose tolerance test (OGTT) was performed at the time of confirmation of pregnancy, and for those who had a normal test (≤140 mg), it was repeated at 24-28 and at 34-36 weeks. Logistic regression was performed to ascertain risk factors associated with GDM. Risk ratios (RR) were calculated to find association between GDM and adverse pregnancy outcomes and need for caesarean section. Results: 19.2% (95% CI: 17.6 to 20.9) pregnant women who had at least one OGTT were diagnosed to have GDM. Women who had prediabetes at the time of confirmation of pregnancy had a significantly higher risk of developing GDM (RR 2.08, 95%CI 1.45 to 2.97). Other risk factors independently associated with GDM were woman’s age (adjusted OR (AOR) 1.10, 95% CI 1.06 to 1.15) and BMI (AOR 1.04, 95% CI 1.01 to 1.07). Higher maternal height was found to be protective factor for GDM (AOR 0.98, 95% CI 0.96 to 1.00). Women with GDM, received appropriate treatment did not have an increase in adverse outcomes. However, GDM increased the need for caesarean section (RR 1.17, 95% CI 1.01 to 1.36).Conclusions: A substantial proportion of pregnant women from a low to mid socio-economic population in Delhi had GDM, with older age, higher BMI and pre-diabetes as important risk factors. These findings highlight the need for interventions for prevention and provision of appropriate management of GDM in antenatal programmes.Clinical Trial registration: Clinical Trial Registry – India, #CTRI/2017/06/008908 (http://ctri.nic.in/Clinicaltrials/pmaindet2.php?trialid=19339&EncHid=&userName=society%20for%20applied%20studies)

scholarly journals Gestational diabetes mellitus prediction model: A risk factors analysis of pregnant women with gestational diabetes mellitus but have normal oral glucose tolerance test results in the second trimester of pregnancy

2021 ◽  
Vol 29 ◽  
pp. 57-63
Author(s):  
Jiayu Lu ◽  
Song Zhang ◽  
Hongqing Jiang ◽  
Lin Yang ◽  
Dongmei Hao ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Glucose Tolerance Test ◽  
Tolerance Test ◽  
Oral Glucose ◽  
Second Trimester ◽  
Oral Glucose Tolerance

BACKGROUND: Oral glucose tolerance test (OGTT) is a standard for the diagnosis of gestational diabetes mellitus (GDM). However, clinically, some cases with normal results were diagnosed as GDM in the third trimester. OBJECTIVE: To establish a risk model based on energy metabolism, epidemiology, and biochemistry that could predict the GDM pregnant women with normal OGTT results in the second trimester. METHODS: Qualitative and quantitative data were analyzed to find out the risk factors, and the binary logistic backward LR regression was used to establish the prediction model of each factor and comprehensive factor, respectively. RESULTS: The risk factors including the rest energy expenditure per kilogram of body weight, oxygen consumption per kilogram of body weight, if more than the weight gain criteria of the Institute of Medicine, the increase of body mass index between the second trimester and pre-pregnancy, and fasting blood glucose. By comparison, the comprehensive model had the best prediction performance, indicating that 85% of high-risk individuals were correctly classified. CONCLUSION: Energy metabolism, epidemiology, and biochemistry had better recognition ability for the GDM pregnant women with normal OGTT results in the second trimester. The addition of metabolic factors in the second trimester also improved the overall prediction performance.

scholarly journals Prevalence and risk factors of gestational diabetes in Punjab, North India: results from a population screening program

2015 ◽  
Vol 173 (2) ◽  
pp. 257-267 ◽  
Author(s):  
Geeti P Arora ◽  
Richa G Thaman ◽  
Rashmi B Prasad ◽  
Peter Almgren ◽  
Charlotte Brøns ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gestational Diabetes ◽  
Plasma Glucose ◽  
Adult Height ◽  
North India ◽  
World Health ◽  
Urban Habitat ◽  
Oral Glucose ◽  
Who 1999 Criteria ◽  
Independent Risk Factors

ObjectiveThe World Health Organization (WHO) has in 2013 changed the diagnostic criteria for gestational diabetes mellitus (GDM) to acknowledge the putative effect of mildly elevated fasting plasma glucose (FPG) levels on pregnancy outcomes. We aimed to determine the prevalence and risk factors of GDM comparing the previous WHO 1999 criteria to the WHO 2013 criteria in North India.MethodsIn a population-based screening programme, 5100 randomly selected North Indian women were studied using a cross-sectional design with a questionnaire, venous FPG and 2-h capillary plasma glucose (PG) after a 75 g oral glucose tolerance test performed between 24 and 28 weeks of pregnancy.ResultsThe prevalence of GDM was 35% using WHO 2013 criteria vs 9% using WHO 1999 criteria. FPG measurements identified 94% of WHO 2013 GDM cases as opposed to 11% of WHO 1999 GDM cases. In contrast, 2-h PG measurements identified only 13% of WHO 2013 GDM cases compared with 96% of the WHO 1999 GDM cases. Using logistic regression with backward elimination, urban habitat, illiteracy, non-vegetarianism, increased BMI, Hindu religion and low adult height were all independent risk factors of GDM using the 1999 criteria, whereas only urban habitat, low adult height and increased age were independent risk factors of GDM using the 2013 criteria.ConclusionsIntervention studies are needed to justify the WHO 2013 GDM criteria increasing the prevalence four fold to include more than one third of North Indian pregnant women.

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