Características de la familia de origen y de la familia formada por las médicas y los médicos de familia de Andalucía.

BACKGROUND The origin and formed family characteristics are related to physician's professional career. The purpose of this study was to know and compare by sex the characteristics of the origin family and formed family of women and men family physician in Andalusia. METHODS Cross sectional and multicenter study. SETTING Urban primary health care centres from Andalusian province capitals. PARTICIPANTS Physician of primary health care centres. INCLUSION CRITERIA at least one year using computerized medical history with the same quota patients. Multistage random sample, 88 primary health care centres and 500 physicians, 50% of both sexes (alpha=5%, power=90%, precision=15%). Postal auto administrated questionnaire. VARIABLES sex, age, tutor of resident in family medicine, last father's activity, last mother's activity, number of brothers or sisters, family situation, last couple's activity (if any), to have or not children. RESULTS 73.6 % responses. In no responses there weren't differences of sex neither tutor of resident in family medicine. Mean age: women physicians 49.5 +/- 4.3 and men physician 51.3 +/- 4.9 (p= or < 0.005). Postgraduate formation in family medicine: 42.2% of women and 33.3% of men (p=0.016). Live alone: 6.1% of women physician and 2.7% men physician (p=0.005). Live alone with children 9.9% of women and 2.2% of men (p=0.005). 16.5% of women and 10.2% of men don t have children (p=0.077). 21.1% of men physician s couples work only at home vs. 0.1% of women physician s couples (p= or < 0.005). 46% of women physician s couples is also physician vs. 22% of men physician s couples (p= or < 0.005). No significant differences registered in parent s activities neither in the number of brother or sisters. CONCLUSION There are no significant differences in physician s origin family. However important differences in the characteristics of formed family are observed in both sexes.

Colorectal Cancer Classification and Cell Heterogeneity: A Systems Oncology Approach.

Colorectal cancer is a heterogeneous disease that manifests through diverse clinical scenarios. During many years, our knowledge about the variability of colorectal tumors was limited to the histopathological analysis from which generic classifications associated with different clinical expectations are derived. However, currently we are beginning to understand that under the intense pathological and clinical variability of these tumors there underlies strong genetic and biological heterogeneity. Thus, with the increasing available information of inter-tumor and intra-tumor heterogeneity, the classical pathological approach is being displaced in favor of novel molecular classifications. In the present article, we summarize the most relevant proposals of molecular classifications obtained from the analysis of colorectal tumors using powerful high throughput techniques and devices. We also discuss the role that cancer systems biology may play in the integration and interpretation of the high amount of data generated and the challenges to be addressed in the future development of precision oncology. In addition, we review the current state of implementation of these novel tools in the pathological laboratory and in clinical practice.

Evaluation of two HbA1c point-of-care analyzers.

BACKGROUND Measurement of HbA1c is the most important parameter to assess glycemic control in diabetic patients. Different point-of-care devices for HbA1c are available. The aim of this study was to evaluate two point-of-care testing (POCT) analyzers (DCA Vantage from Siemens and Afinion from Axis-Shield). We studied the bias and precision as well as interference from carbamylated hemoglobin. METHODS Bias of the POCT analyzers was obtained by measuring 53 blood samples from diabetic patients with a wide range of HbA1c, 4%-14% (20-130 mmol/mol), and comparing the results with those obtained by the laboratory method: HPLC HA 8160 Menarini. Precision was performed by 20 successive determinations of two samples with low 4.2% (22 mmol/mol) and high 9.5% (80 mmol/mol) HbA1c values. The possible interference from carbamylated hemoglobin was studied using 25 samples from patients with chronic renal failure. RESULTS The means of the differences between measurements performed by each POCT analyzer and the laboratory method (95% confidence interval) were: 0.28% (p<0.005) (0.10-0.44) for DCA and 0.27% (p<0.001) (0.19-0.35) for Afinion. Correlation coefficients were: r=0.973 for DCA, and r=0.991 for Afinion. The mean bias observed by using samples from chronic renal failure patients were 0.2 (range -0.4, 0.4) for DCA and 0.2 (-0.2, 0.5) for Afinion. Imprecision results were: CV=3.1% (high HbA1c) and 2.97% (low HbA1c) for DCA, CV=1.95% (high HbA1c) and 2.66% (low HbA1c) for Afinion. CONCLUSIONS Both POCT analyzers for HbA1c show good correlation with the laboratory method and acceptable precision.