Rheumatic diseases (RD) and hereditary thrombophilias (HT) can be associated with high-risk pregnancies. This study describes obstetric outcomes after receiving medical care at a multidisciplinary consultation (MC) and compares adverse neonatal outcomes (ANOs) before and after medical care at an MC. This study is a retrospective observational study among pregnant women with RD and HT treated at an MC of a university hospital (southern Spain) from 2012 to 2018. Absolute risk reduction (ARR) and number needed to treat (NNT) were calculated. A total of 198 pregnancies were registered in 143 women (112 with RD, 31 with HT), with 191 (96.5%) pregnancies without ANOs and seven (3.5%) pregnancies with some ANOs (five miscarriages and two foetal deaths). Results previous to the MC showed 60.8% of women had more than one miscarriage, with 4.2% experiencing foetal death. MC reduced the ANO rate by AAR = 60.1% (95%CI: 51.6−68.7%). The NNT to avoid one miscarriage was 1.74 (95%CI: 1.5–2.1) and to avoid one foetal death NNT = 35.75 (95CI%: 15.2–90.9). A total of 84.8% of newborns and 93.2% of women did not experience any complication. As a conclusion, the follow-up of RD or HT pregnant women in the MC drastically reduced the risk of ANOs in this population with a previous high risk.

Background: Various models have been proposed to predict mortality rates for hospital patients undergoing colorectal cancer surgery. However, none have been developed in Spain using clinical administrative databases and none are based exclusively on the variables available upon admission. Our study aim is to detect factors associated with in-hospital mortality in patients undergoing surgery for colorectal cancer and, on this basis, to generate a predictive mortality score. Methods: A population cohort for analysis was obtained as all hospital admissions for colorectal cancer during the period 2008–2014, according to the Spanish Minimum Basic Data Set. The main measure was actual and expected mortality after the application of the considered mathematical model. A logistic regression model and a mortality score were created, and internal validation was performed. Results: 115,841 hospitalization episodes were studied. Of these, 80% were included in the training set. The variables associated with in-hospital mortality were age (OR: 1.06, 95%CI: 1.05–1.06), urgent admission (OR: 4.68, 95% CI: 4.36–5.02), pulmonary disease (OR: 1.43, 95%CI: 1.28–1.60), stroke (OR: 1.87, 95%CI: 1.53–2.29) and renal insufficiency (OR: 7.26, 95%CI: 6.65–7.94). The level of discrimination (area under the curve) was 0.83. Conclusions: This mortality model is the first to be based on administrative clinical databases and hospitalization episodes. The model achieves a moderate–high level of discrimination.

To determine the frequency of offering clinical counseling against the consumption of alcohol, tobacco and illegal drugs by internal specialist residents (EIR) of Andalusia, and the factors related to such advice. Multicenter cross-sectional study by self-administered questionnaire sent by mail. EIR of Andalusia. The questionnaire collected the frequency of counseling against the use of alcohol, tobacco and illegal drugs (dependent variable). age/gender, specialty, drug consumption and Fagerström test. Out of a total of 4245 participants, 66% responded, 29% did not respond, and 5% poorly completed questionnaires. The mean age was 29.1(±SD 5.1) years, 69% female, 89% Spanish nationality, 84% in medical training (73% hospital, 27% family medicine). The frequency of counseling against tobacco (85%) and alcohol (82%) is higher than illegal drugs (56%, p<.001, χ(2) test). Counseling against alcohol consumption is related to family medicine (OR=2.8; 95% CI [1.4-4.6]) and nursing (OR=2.5 [1.7-4.4]), and the age of first alcohol consumption (OR=1.07 [1.03-1.1]). Counseling against smoking is related to family medicine (OR=12.9;[7.6-21.9]) and nursing (OR=8.4;[4.3-16.5]), personal consumption of tobacco (OR=1.5 [1.2-2.0]), and wine (OR=1.1 [1.04-1.3]), and age of first alcohol consumption (OR=1.06 [1.01-1.1]). Counseling against illegal drugs is related to the age of first alcohol consumption (OR=1.09 [1.05-1.1]) and smoking (OR=.58 [.4-.7]). There is a high frequency of counseling against consumption of tobacco and alcohol by EIR, although remarkably smaller for illegal drugs. The influencing factors are both formative elements of their own specialty such as personal consumption of alcohol and tobacco, which should be considered for improvement of this preventive activity.

Nowadays, the impact of the tumor-immune microenvironment (TME) in non-small-cell lung cancer (NSCLC) prognosis and treatment response remains unclear. Thus, we evaluated the expression of PD-L1, tumor-infiltrating lymphocytes (TILs), and transforming growth factor beta (TGF-β) in NSCLC to identify differences in TME, detect possible new prognostic factors, and assess their relationship. We retrospectively analyzed 55 samples from patients who underwent NSCLC surgery and had over a 5-year follow-up. PD-L1 expression was determined by immunohistochemistry following standard techniques. The presence of TILs was evaluated at low magnification and classified into two categories, “intense” and “non-intense”. Cytoplasmic TGF-β staining visualization was divided into four categories, and unequivocal nuclear staining in >1% of viable tumor cells was defined as “present” or “absent”. Our aim was to identify differences in disease-free survival (DFS) and overall survival (OS). Tumor stage was the only objective prognostic factor for OS. PD-L1 expression and the presence of TILs had no prognostic impact, neither their combination. There seems to be a lower expression of PD-L1 and a higher expression of TILs in early stages of the disease. Our TGF-β nuclear staining analysis was promising, since it was associated with worse DFS, revealing this protein as a possible prognostic biomarker of recurrence for resectable NSCLC.

Background: Stroke is a highly prevalent disease that can provoke severe disability. We evaluate a predictive model based on the Minimum Basic Data Set (MBDS) compiled by the Spain Health Ministry, obtained for the period 2008–2012 for patients with ischaemic stroke in Spain, to establish the model’s validity and to optimise its calibration. The MBDS is the main clinical-administrative database for hospitalisations recorded in Spain, and to our knowledge, no predictive models for stroke mortality have previously been developed using this resource. The main study aim is to perform an external validation and recalibration of the coefficients of this predictive model with respect to a chronologically later cohort. Material and Methods: External validation (testing the model on a different cohort to assess its performance) and recalibration (validation with optimisation of model coefficients) were performed using the MBDS for patients admitted for ischaemic stroke in the period 2016–2018. A cohort study was designed, in which a recalibrated model was obtained by applying the variables of the original model without their coefficients. The variables from the original model were then applied to the subsequent cohort, together with the coefficients from the initial model. The areas under the curve (AUC) of the recalibration and the external validation procedure were compared. Results: The recalibrated model produced an AUC of 0.743 and was composed of the following variables: age (odds ratio, OR:1.073), female sex (OR:1.143), ischaemic heart disease (OR:1.192), hypertension (OR:0.719), atrial fibrillation (OR:1.414), hyperlipidaemia (OR:0.652), heart failure (OR:2.133) and posterior circulation stroke (OR: 0.755). External validation produced an AUC of 0.726. Conclusions: The recalibrated clinical model thus obtained presented moderate-high discriminant ability and was generalisable to predict death for patients with ischaemic stroke. Rigorous external validation slightly decreased the AUC but confirmed the validity of the baseline model for the chronologically later cohort.