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Validated registry of pre-dialysis chronic kidney disease: description of a large cohort

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 charac...

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Autores principales: Huaira, Rosalia Maria Nunes Henriques, de Paula, Rogerio Baumgratz, Bastos, Marcus Gomes, Colugnati, Fernando Antonio Basile, Fernandes, Natália Maria da Silva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Nefrologia 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6533986/
https://www.ncbi.nlm.nih.gov/pubmed/29927457
http://dx.doi.org/10.1590/2175-8239-JBN-3841
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author Huaira, Rosalia Maria Nunes Henriques
de Paula, Rogerio Baumgratz
Bastos, Marcus Gomes
Colugnati, Fernando Antonio Basile
Fernandes, Natália Maria da Silva
author_facet Huaira, Rosalia Maria Nunes Henriques
de Paula, Rogerio Baumgratz
Bastos, Marcus Gomes
Colugnati, Fernando Antonio Basile
Fernandes, Natália Maria da Silva
author_sort Huaira, Rosalia Maria Nunes Henriques
collection PubMed
description 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.
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spelling pubmed-65339862019-06-17 Validated registry of pre-dialysis chronic kidney disease: description of a large cohort Huaira, Rosalia Maria Nunes Henriques de Paula, Rogerio Baumgratz Bastos, Marcus Gomes Colugnati, Fernando Antonio Basile Fernandes, Natália Maria da Silva J Bras Nefrol Original Articles 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. Sociedade Brasileira de Nefrologia 2018-06-07 2018 /pmc/articles/PMC6533986/ /pubmed/29927457 http://dx.doi.org/10.1590/2175-8239-JBN-3841 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Huaira, Rosalia Maria Nunes Henriques
de Paula, Rogerio Baumgratz
Bastos, Marcus Gomes
Colugnati, Fernando Antonio Basile
Fernandes, Natália Maria da Silva
Validated registry of pre-dialysis chronic kidney disease: description of a large cohort
title Validated registry of pre-dialysis chronic kidney disease: description of a large cohort
title_full Validated registry of pre-dialysis chronic kidney disease: description of a large cohort
title_fullStr Validated registry of pre-dialysis chronic kidney disease: description of a large cohort
title_full_unstemmed Validated registry of pre-dialysis chronic kidney disease: description of a large cohort
title_short Validated registry of pre-dialysis chronic kidney disease: description of a large cohort
title_sort validated registry of pre-dialysis chronic kidney disease: description of a large cohort
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6533986/
https://www.ncbi.nlm.nih.gov/pubmed/29927457
http://dx.doi.org/10.1590/2175-8239-JBN-3841
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