10.6084/m9.figshare.6503006.v1 Rosalia Maria Nunes Henriques Huaira Rosalia Maria Nunes Henriques Huaira Rogerio Baumgratz de Paula Rogerio Baumgratz de Paula Marcus Gomes Bastos Marcus Gomes Bastos Fernando Antonio Basile Colugnati Fernando Antonio Basile Colugnati Natália Maria da Silva Fernandes Natália Maria da Silva Fernandes Validated registry of pre-dialysis chronic kidney disease: description of a large cohort SciELO journals 2018 Kidney Diseases Diseases Registries Epidemiology 2018-06-13 02:45:22 Dataset https://scielo.figshare.com/articles/dataset/Validated_registry_of_pre-dialysis_chronic_kidney_disease_description_of_a_large_cohort/6503006 <div><p>ABSTRACT Introduction: Chronic diseases account for the majority of deaths in Brazil. These include hypertension (SAH) and diabetes mellitus (DM), which are the main causes of chronic kidney disease (CKD). Objective: This study aimed to validate the data of an electronic health record and to point out characteristics of the profile of these users in relation to clinical quality indicators for a pre-dialytic CKD. Methods: Retrospective cohort, August/2010 to December/2014. Included users > 18 years, with at least two queries. Variables analyzed: sociodemographic, underlying disease, main medications and main clinical indicators of control. A descriptive analysis was performed and the percentage of users was evaluated in the goals at admission and at the end of the study. Results: Exported, converted and validated data of 1,977 users with average follow-up time of 21 months. Of these, 51.4% were men, 58% were > 64 years of age and 81.6% were overweight. The main medications in use were diuretics (82.9%), BRAT (62%), Statin (60.7%) and ACE inhibitors (49.9%). The percentage of users with a decline in the glomerular filtration rate was 33.7%. Regarding glycated hemoglobin, users with CKD and DM, 36% were within the initial goal and 52.1% of the final. Blood pressure was at the target for admission at 34.3% and 49.8% at the end of follow-up. Conclusion: Validated data are of vital importance for health managers to monitor users. The population of this study is predominantly elderly, obese, requiring multi-professional care to slow the progression of the disease and decrease morbidity and mortality.</p></div>