Risk prediction models of gestational diabetes mellitus before 16 gestational weeks.

BACKGROUND: Gestational diabetes mellitus (GDM) can lead to adverse maternal and fetal outcomes, and early prevention is particularly important for their health, but there is no widely accepted approach to predict it in the early pregnancy. The aim of the present study is to build and evaluate predictive models for GDM using routine indexes, including maternal clinical characteristics and laboratory biomarkers, before 16 gestational weeks. METHODS: A total of 2895 pregnant women were recruited and maternal clinical characteristics and laboratory biomarkers before 16 weeks of gestation were collected from two hospitals. All participants were randomly stratified into the training cohort and the internal validation cohort by the ratio of 7:3. Using multivariable logistic regression analysis, two nomogram models, including a basic model and an extended model, were built. The discrimination, calibration, and clinical validity were used to evaluate the models in the internal validation cohort. RESULTS: The area under the receiver operating characteristic curve of the basic and the extended model was 0.736 and 0.756 in the training cohort, and was 0.736 and 0.763 in the validation cohort, respectively. The calibration curve analysis showed that the predicted values of the two models were not significantly different from the actual observations (p = 0.289 and 0.636 in the training cohort, p = 0.684 and 0.635 in the internal validation cohort, respectively). The decision-curve analysis showed a good clinical application value of the models. CONCLUSIONS: The present study built simple and effective models, indicating that routine clinical and laboratory parameters can be used to predict the risk of GDM in the early pregnancy, and providing a novel reference for studying the prediction of GDM.

Construction of a pathway-level model for preeclampsia based on gene expression data.

Preeclampsia (PE) is a heterogeneous disease that seriously affects the health of mothers and fetuses. Lack of detection assays, its diagnosis and intervention are often delayed when the clinical symptoms are atypical. Using personalized pathway-based analysis and machine learning algorithms, we built a PE diagnosis model consisting of nine core pathways using multiple cohorts from the Gene Expression Omnibus database. The model showed an area under the receiver operating characteristic (AUROC) curve of 0.959 with the data from the placental tissue samples in the development cohort. In the two validation cohorts, the AUROCs were 0.898 and 0.876, respectively. The model also performed well with the maternal plasma data in another validation cohort (AUROC: 0.815). Moreover, we identified tyrosine-protein kinase Lck (LCK) as the hub gene in this model and found that LCK and pLCK proteins were downregulated in placentas from PE patients. The pathway-level model for PE can provide a novel direction to develop molecular diagnostic assay and investigate potential mechanisms of PE in future studies.

Association between serum uric acid/high-density lipoprotein cholesterol ratio and hypertension among reproductive-aged women.

BACKGROUND: Uric acid/high-density lipoprotein cholesterol ratio (UHR) is a novel index of inflammation and metabolism that has been investigated in various diseases. However, association between UHR and hypertension among reproductive-aged women is unclear. METHODS: In this cross-sectional study, we investigated the association between serum UHR and hypertension among 5485 women aged 20-44 years based on the National Health and Nutrition Examination Survey (NHANES) database using various methods, including univariate and multivariate logistic regression analysis, stratified analysis, and spline regression. P < 0.05 was considered statistically significant. RESULTS: There was significant difference in UHR between the women with and without hypertension (P < 0.001). After adjusting for several covariates, UHR was positively correlated with hypertension (OR > 1, P < 0.001). In the subgroup analysis, the positive correlations still remained between UHR and hypertension in women with various age and those with BMI ≥ 30 kg/m2 (P < 0.05) excepted for adjusting for all covariates. We further found an inflection point of the threshold effect for UHR, and the prevalence of hypertension showed different increased trends below and above the threshold. CONCLUSION: This study indicated a positive association between serum UHR and hypertension among reproductive-aged women, indicating that UHR is a potential clinical marker of hypertension in women.

Placental and plasma early predictive biomarkers for gestational diabetes mellitus.

PURPOSE: Gestational diabetes mellitus (GDM) is a common disease that can give rise to adverse obstetric outcomes. For successful early intervention, more studies on novel predictive biomarkers for GDM are required. EXPERIMENTAL DESIGN: The protein expression profiles of placental tissue from patients with GDM and normal pregnant women were investigated using data-independent acquisition proteomics with five biological replicates. Early pregnancy maternal plasma samples from the GDM (n = 79) and control (n = 81) groups were used for further validation of candidate biomarkers. RESULTS: We identified 37 differentially expressed proteins between the two groups. CD109 antigen (CD109) and endosialin (CD248) were identified as hub proteins. In the validation experiments, CD109 expression was lower in the early pregnancy maternal plasma of patients with GDM compared with that in normal pregnant women, and CD248 expression was higher in the GDM group. The area under the curve of CD109, CD248, and their combination as indicators in early pregnancy maternal plasma was 0.681, 0.609, and 0.695, respectively. CONCLUSIONS AND CLINICAL RELEVANCE: The present study is the first to obtain preliminary evidence that CD109 and CD248 can predict GDM during early pregnancy, as well as providing proteome-level insights into this disease's pathological mechanisms.

Potential Protein Biomarkers for Preeclampsia.

To date, the etiology of preeclampsia (PE) has not been clarified and the specific treatment is lacking; hence, early prediction and prevention are very important. Thus, a large number of biomarkers that may be associated with PE have been identified based on proteomics to provide a reference for the prediction of PE and for the understanding of the pathological mechanisms of this disease. This article briefly summarizes the application of proteomics in PE and the potential protein biomarkers to provide a reference for other researchers.

[Deep neck infection: clinical analyses of 95 cases].

OBJECTIVE: To review the recent diagnosis and treatment experience with deep neck infection and emphasize the importance of radiologic evaluation, microbiology and appropriate treatment selection in these patients. METHODS: A respective review was conducted in 95 cases who were diagnosed as having deep neck from Jan. 2006 to March 2015. RESULTS: The primary diseases in 95 patients with deep neck infection were acute tonsillitis or acute laryngitis (27 cases), infection of upper respiratory tract (23 cases), odontogenic infection or oral inflammation (16 cases), foreign bodies in esophagus (9 cases), acute cervical lymphadenitis (5 cases) and cause uncertain (15 cases). Computed tomography was performed in all of patients to identify the location, extent, and character (cellulitis in 47 cases or abscesses in 48 cases) of the infections. The locations of abscess were parapharyngeal abscess (25 cases), retropharyngeal abscess (9 cases), submaxillary space abscess (6 cases), pretracheal space abscess (5 cases) and esophageal abscess (3 cases). COMPLICATIONS: mediastinitis (2 cases), pericarditis (1 case), bilateral pneumothorax (2 cases), and upper digestive tract (1 case). Bacterial cultivation performed in 35 patients and positive results were detected in 21. All patients were given intravenous antibiotic therapy. Tracheotomy was performed in 4 cases. Preoperative contrast enhanced CT was performed in 42 patients and indicated the formation of abscess. Three cases with the symptoms of septic shock were transferred to ICU and one was cured. All the patients were cured except two who died of massive hemorrhage of upper digestive tract and septic shock. CONCLUSIONS: The airway patency in patients with deep neck infections must be ensured. Drainage may be mandatory in selected cases at presentation or in cases who fail to respond to parenteral antibiotics within the first 24-48 hours. Imaging evaluation plays a significant role in the diagnosis and rational therapeutic management in deep neck infection. Bacterial cultivation can help to make the effective treatment and provide reliable evidence for the etiopathogenisis.