[Predictive models of gestational diabetes, a new prediction mode]. / Modelos predictivos de diabetes gestacional, un nuevo modelo de predicción.

OBJECTIVES: Recognized the value of gestational diabetes (GD) as a health problem, our aim in this work has been to analyze the diagnostic performance of the different today's existing criteria (GEDE, O'Sullivan and Carpenter) after the overload of 100 g of glucose and revise how to increase its efficiency. MATERIALS AND METHODS: We carried out a description of all the variables. In the analytical phase of the work, we used Pearson's Chi square to see if there were differences in the percentage of cases collected in each health center and the proportions contrast test to study the differences between the experimental prevalence. We completed binary logistic regression models using as result variable having or not having gestational diabetes (yes/no) and as predictors the four measurements of the curve with 100 g of glucose overload. To decide which model was better, the stepwise backward-forward analysis and the surface of the ROC curve generated by each of them were considered. RESULTS: We obtained a sample of 170 pregnant women from six different Primary Care Area of Seville health centers who had shown a positive O'Sullivan test with a median age of 35 years. There were significant differences in the prevalence proportions according to the criteria used: GEDE/O'Sullivan p < 0.001; GEDE/Carpenter p < 0.001. Logistic models with three and four predictor variables were equal in discriminatory diagnostic capacity when the GEDE criteria were used (area under the ROC curve = 0.96, 95% CI: 0.93-0.98). The back-forward stepwise analysis stayed with the three-variable model as the most parsimonious. The same did not occur when applying the other two criteria. CONCLUSIONS: Regarding an observational design, we state that there are significant differences in the prevalence proportions observed according to the criteria applied (p < 0.001) and we can also support that using the GEDE criteria, the taking of the third hour could be dispensed with, based on Bayesian criteria and the application of the ROC curve analysis.

Dyslipidaemia and other cardiovascular risk factors in relation to manifest cardiovascular disease in patients with chronic obstructive pulmonary disease in the Canary Islands. / Relación entre la dislipidemia y otros factores de riesgo cardiovasculares conocidos con la presencia de enfermedad cardiovascular en pacientes con enfermedad pulmonar obstructiva crónica de las Islas Canarias.

INTRODUCTION: Cardiovascular disease has a negative impact on the vital prognosis of patients with chronic obstructive pulmonary disease (COPD), where dyslipidaemia (DLP) and arterial hypertension (AHT) are considered the most prevalent risk factors. The objective of this study was 1) to assess the relationship between diagnosed DLP and cardiovascular disease in COPD patients and compare it with other known cardiovascular risk factors and 2) to determine the relationship between the different cardiovascular comorbidities and the severity groups according to the GOLD 2017 classification. METHODS: A cross-sectional, observational study was performed in 454 outpatients with COPD during their follow up. We calculated the prevalence of each of the cardiovascular comorbidities and the probability of each of the cardiovascular risk factors to occur jointly with a vascular disease (RRij). RESULTS: A total of 66.7% of the patients had DLP, whereby DLP was related to cerebrovascular accidents (CVA) (RRij 1.36, P=.0054), chronic kidney disease (CKD) (RRij 1.34, P=.00023), and peripheral arterial disease (PAD) (RRij 1.38, P=.00015). AHT was mostly related to CVA (RRij 1.41, P=.0014) and CKD (RRij 1.42, P<.0001). Type 2 diabetes mellitus (T2DM) correlated with PAD (RRij 1.90, P=.0001), heart failure (HF) (RRij 1,74, P=.0002), and CKD (RRij 1.76, P<.0001), and obesity was associated with HF (RRij 1.60, P=.0009) and CKD (RRij 1.54, P=.0001). CONCLUSION: DLP was related to CVA, CKD, and PAD. AHT and T2DM are the conditions that mostly relate to HF and CVA.

Clinical validation of a molecular assay for intra-operative detection of metastases in breast sentinel lymph nodes.

BACKGROUND: In breast cancer patients, the status of the sentinel lymph nodes (SLNs) has been shown to accurately reflect the presence of metastases in the axillary lymph nodes (ALNs). Intra-operative SLN evaluation by frozen section histology may miss positive cases, leading to a second surgery for complete ALN dissection. Permanent section histology itself has tissue sampling limitations and is partially dependent on pathologist expertise. METHODS: A prospective study (N=78) was conducted in our institution to validate a new intra-operative molecular assay, the GeneSearch breast lymph node (BLN) assay. This assay quantifies the expression of mammaglobin and cytokeratin-19 genes using quantitative RT-PCR technology to determine SLN status. Fresh SLN sections (2 mm thick) were analyzed alternatively by BLN assay or post-operative histology (haematoxylin-eosin and immunohistochemistry). The subject was considered positive when histology revealed a focus >0.2 mm. RESULTS: BLN assay results corroborated with histologic results in 75 out of 78 patients for an overall agreement of 96%, a sensitivity of 92%, and a specificity of 97%. The positive and negative predictive values of the BLN assay were of 86% (12/14) and 98% (63/64), respectively. Interestingly, a statistically significant correlation was observed between the metastases' histologic size and both assay markers' expression levels as represented by cycle time to positivity (rho > or = 0.71, all p<0.0001). CONCLUSIONS: The performance of the BLN assay in identifying nodal metastases >0.2 mm was similar to that of permanent section histology, with the added advantages of an objective and rapid output that could be used for intra-operative decision to remove additional ALN.