Key Points: Integrated genomic profiling identifies high-risk adult T-ALL patients with poor response to intensified chemotherapy.

The one-size-fits-all paradigm in organized screening of breast cancer is shifting towards a personalized approach. The present study has two objectives: 1) To perform an economic evaluation and to assess the harm-benefit ratios of screening strategies that vary in their intensity and interval ages based on breast cancer risk; and 2) To estimate the gain in terms of cost and harm reductions using risk-based screening with respect to the usual practice. We used a probabilistic model and input data from Spanish population registries and screening programs, as well as from clinical studies, to estimate the benefit, harm, and costs over time of 2,624 screening strategies, uniform or risk-based. We defined four risk groups, low, moderate-low, moderate-high and high, based on breast density, family history of breast cancer and personal history of breast biopsy. The risk-based strategies were obtained combining the exam periodicity (annual, biennial, triennial and quinquennial), the starting ages (40, 45 and 50 years) and the ending ages (69 and 74 years) in the four risk groups. Incremental cost-effectiveness and harm-benefit ratios were used to select the optimal strategies. Compared to risk-based strategies, the uniform ones result in a much lower benefit for a specific cost. Reductions close to 10% in costs and higher than 20% in false-positive results and overdiagnosed cases were obtained for risk-based strategies. Optimal screening is characterized by quinquennial or triennial periodicities for the low or moderate risk-groups and annual periodicity for the high-risk group. Risk-based strategies can reduce harm and costs. It is necessary to develop accurate measures of individual risk and to work on how to implement risk-based screening strategies.

Given the influence that personality can have on empathy, this study explores the relationship between empathy and personality, using three different measures of empathy, and taking into account gender and specialty preference. Cross-sectional study. One hundred and ten medical students completed the Jefferson Scale of Physician Empathy, the Interpersonal Reactivity Index, the Empathy Quotient, and the NEO-FFI Big Five personality model. Multivariable linear regression was performed to assess the association between personality traits and empathy. Empathy scales showed weak and moderate correlation with personality. The strongest correlations were observed between IRI-Fantasy and Openness, and between IRI-Personal Distress and Neuroticism. Gender and specialty preference can modify this relationship. The extreme groups of Empathy Quotient had significant differences in most personality traits. This study confirmed that empathy is related to personality. Using three empathy scales allows personalizing the evaluation of different empathy models and its relation with personality. These results can help to design programs to study if some personalized intervention strategies could improve the empathy in medical students.

The objective of this study is to assess the association between levels of empathy and burnout of emergency professionals in all the assistance levels. A cross-sectional observational study was conducted in the health region of Lleida and the Pyrenees with 100 professionals from the field of Urgency. Participation reached 40.8%. Empathy and burnout were measured using the Spanish versions of the Jefferson Scale of Physician Empathy (JSPE) and Maslach Burnout Inventory (MBI) respectively. The total MBI score and its 3 dimensions (emotional exhaustion, depersonalization, and personal accomplishment) were analyzed. The JSPE and MBI scores were categorized into tertiles that were identified as “low,” “moderate,” and “high” levels. The median (interquartile range) was 112 (102–123) and 37 (27–53.5) for the JSPE and MBI scores respectively. Professionals with high burnout (MBI≥47) showed the lowest levels of empathy, that is, JSPE score of 105 (98–114); those with moderate burnout (31≤MBI < 47) had a JSPE score of 114 (104.5–120.5); and those with low burnout (MBI < 31) had a JSPE score of 120.5 (105.8–127.2). In addition, the highest levels of empathy were associated with the lowest levels of burnout, especially in depersonalization, and to a lesser extent in personal accomplishment. There were no differences in empathy and burnout for any of the other study variables. Our findings suggest that the empathy of emergency professionals is associated with burnout. Hence, reducing professional burnout could help keep emergency professionals’ empathy levels high, which in turn would ensure a better quality of care. Nevertheless, it would be necessary to carry out prospective studies to describe the profiles of burnout and empathy as well as their association and evolution.

Background: Chronic kidney disease (CKD) is an independent risk factor for atherosclerotic disease. We hypothesized that CKD promotes a proatherogenic lipid profile modifying lipoprotein composition and particle number. Methods: Cross-sectional study in 395 non-diabetic individuals (209 CKD patients and 186 controls) without statin therapy. Conventional lipid determinations were combined with advanced lipoprotein profiling by nuclear magnetic resonance, and their discrimination ability was assessed by machine learning. Results: CKD patients showed an increase of very-low-density (VLDL) particles and a reduction of LDL particle size. Cholesterol and triglyceride content of VLDLs and intermediate-density (IDL) particles increased. However, low-density (LDL) and high-density (HDL) lipoproteins gained triglycerides and lost cholesterol. Total-Cholesterol, HDL-Cholesterol, LDL-Cholesterol, non-HDL-Cholesterol and Proprotein convertase subtilsin-kexin type (PCSK9) were negatively associated with CKD stages, whereas triglycerides, lipoprotein(a), remnant cholesterol, and the PCSK9/LDL-Cholesterol ratio were positively associated. PCSK9 was positively associated with total-Cholesterol, LDL-Cholesterol, LDL-triglycerides, LDL particle number, IDL-Cholesterol and remnant cholesterol. Machine learning analysis by random forest revealed that new parameters have a higher discrimination ability to classify patients into the CKD group, compared to traditional parameters alone: area under the curve (95% CI), .789 (.711, .853) vs .687 (.611, .755), respectively. Conclusions: non-diabetic CKD patients have a hidden proatherogenic lipoprotein profile.

Background: In-hospital stroke death rate is an important sanitary issue. Despite advances in the acute phase management of stroke patients, mortality and disability rates remain high. In aging populations and with different mortality between the sexes in general, the study of sex- and age-related differences becomes increasingly relevant for optimization of post-acute clinical care of stroke patients. Methods: We designed a cohort follow-up study with 13,932 consecutive ischemic stroke (IS) patients from 19 Spanish hospitals. Data was obtained from the Spanish Stroke Registry; transient ischemic attacks and ages <18 years were excluded. Patients were organised by age group and sex. We compared female and male patient cohorts within and across age groups univariately and used multivariable logistic regression to adjust for confounders in differential in-hospital mortality. Results: The median (percentiles 2.5 and 97.5%) age was 78 (41–92) years old for women and 71 (41–92) for men. IS women were more likely to be older, to exhibit cardio-embolic aetiology, and less likely to have been admitted to a stroke unit or to have had a stroke code activated. Both pre-stroke modified Rankin Scale and National Institute of Health Stroke Scale (NIHSS) scores at admission increased significantly with age and were higher in women than those in men. Differences in distributions of common risk factors for IS and of in-hospital outcomes between women and men actually changed with patient’s age. It is to be noted here that although there were no statistically significant differences (p > 0.05) between the sexes within any age group, in-hospital mortality appeared significantly higher in women than that in men when analysed overall, due to confounding. Death was more closely related to stroke in women than in men and occurred earlier. Although there were some age-specific sex differences between the predictors for in-hospital mortality, stroke severity measured by NIHSS was the main predictor of in-hospital mortality for both sexes. Topographic classifications – partial anterior circulatory infarct and total anterior circulatory infarct – were significant prognostic factors for men aged <60 years and for those in the 60–69 years range respectively. Conclusion: Although most of our findings were consistent with previous studies, it is important to take into account and highlight differences in in-hospital mortality between the sex and age group. Not to account for age-related differences between the sexes can give false results that may mislead management decisions. As most deaths in women were related to stroke, it is important to improve their early management, stroke code activation, access to stroke units and/or revascularisation therapies, especially in the older age groups.