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Introduction: This article summarizes the clinical practice guidelines (CPG) for the diagnosis and treatment of chronic infection of hepatitis viral C of the Peruvian Health Social Security (EsSalud)., Objective: To provide clinical recommendations based on evidence for the diagnosis and treatment of chronic infection of hepatitis viral C in EsSalud., Methods: A guideline development group (GDG) was established, including medical specialists and methodologists. The GDG formulated 4 clinical questions to be answered in this CPG. Systematic searches of systematic reviews and primary studies (when pertinent) were conducted in PubMed, and Central (Cochrane) during 2019. The evidence was selected to answer each of the clinical questions. The accuracy of the evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology. In periodic work meetings, the GEG used the GRADE methodology to review the evidence and formulate the recommendations, the points of good clinical practice and the treatment flowchart. Finally, the CPG was approved with Resolution No. 151-IETSIESSALUD-2019., Results: The present CPG addressed 4 clinical questions of four topics: screening, diagnosis, staging and treatment. Based on these questions, 13 recommendations (8 strong recommendations and 5 weak recommendations), 27 points of good clinical practice, and 1 flowchart were formulated., Conclusion: This paper summarizes the methodology and evidencebased conclusions from the CPG for for the diagnosis and treatment of chronic infection of hepatitis viral C of the EsSalud.

Objective: The aim of this study was to develop a risk prediction model for major postoperative infection (MPI) after pediatric heart surgery and to validate the model of the Society of Thoracic Surgeons (STS)., Materials and Methods: We analyzed a retrospective cohort of 1,025 children who underwent heart surgery with cardiopulmonary bypass (CPB) from 2000 to 2010. We used a logistic regression model, which was validated., Results: Of the 1,025 patients, 59 (5.8%) had at least one episode of MPI (4.8% had sepsis, 1% had mediastinitis, 0% had endocarditis). Hospital mortality (63% vs. 13%; p < 0.001), as well as duration of postoperative ventilation (301.6 vs. 34.3 hours; p < 0.001) and intensive care unit stay (20.9 vs. 5.1 days; p < 0.001) were higher in patients with MPI. The predictive factors found were age, sex, weight, cyanotic heart disease, RACHS-1 3-4, Ross-modified functional class IV, previous hospital stay, and previous history of mechanical ventilation. The proposed model had a c-statistic of 0.80 (95% CI: 0.74-0.86) and was considered as clinically useful. The STS model showed a c-statistic of 0.78 (95% CI: 0.71-0.84) and a Hosmer-Lemeshow of 18.2 (P = 0.020). A comparison between the two models was made using an accurate Fisher test., Conclusion: A model with good performance and calibration was developed to preoperatively identify children at high risk for severe infection after cardiac surgery with CPB. The STS model was also validated and was found to have a moderate discrimination performance.