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Assessing Screening Guidelines for Cardiovascular Disease Risk Factors using Routinely Collected Data
This study investigates if laboratory data can be used to assess whether physician-retesting patterns are in line with established guidelines, and if these guidelines identify deteriorating patients in a timely manner. A total of 7594 patients with high cholesterol were studied, along with 2764 pati...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5529363/ https://www.ncbi.nlm.nih.gov/pubmed/28747722 http://dx.doi.org/10.1038/s41598-017-06492-6 |
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author | Pannu, Jaspreet Poole, Sarah Shah, Neil Shah, Nigam H. |
author_facet | Pannu, Jaspreet Poole, Sarah Shah, Neil Shah, Nigam H. |
author_sort | Pannu, Jaspreet |
collection | PubMed |
description | This study investigates if laboratory data can be used to assess whether physician-retesting patterns are in line with established guidelines, and if these guidelines identify deteriorating patients in a timely manner. A total of 7594 patients with high cholesterol were studied, along with 2764 patients with diabetes. More than 90% of borderline high cholesterol patients are retested within the 3 year recommended period, however less than 75% of pre-diabetic patients have repeated tests within the suggested 1-year time frame. Patients with borderline high cholesterol typically progress to full high cholesterol in 2–3 years, and pre-diabetic patients progress to full diabetes in 1–2 years. Data from routinely ordered laboratory tests can be used to monitor adherence to clinical guidelines. These data may also be useful in the design of adaptive testing strategies that reduce unnecessary testing, while ensuring that patient deterioration is identified in a timely manner. Established guidelines for testing of total serum cholesterol for hypercholesterolemia are appropriate and are well-adhered to, whereas guidelines for glycated hemoglobin A1c testing for type 2 diabetes mellitus could be improved to bring them in line with current practice and avoid unnecessary testing. |
format | Online Article Text |
id | pubmed-5529363 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55293632017-08-02 Assessing Screening Guidelines for Cardiovascular Disease Risk Factors using Routinely Collected Data Pannu, Jaspreet Poole, Sarah Shah, Neil Shah, Nigam H. Sci Rep Article This study investigates if laboratory data can be used to assess whether physician-retesting patterns are in line with established guidelines, and if these guidelines identify deteriorating patients in a timely manner. A total of 7594 patients with high cholesterol were studied, along with 2764 patients with diabetes. More than 90% of borderline high cholesterol patients are retested within the 3 year recommended period, however less than 75% of pre-diabetic patients have repeated tests within the suggested 1-year time frame. Patients with borderline high cholesterol typically progress to full high cholesterol in 2–3 years, and pre-diabetic patients progress to full diabetes in 1–2 years. Data from routinely ordered laboratory tests can be used to monitor adherence to clinical guidelines. These data may also be useful in the design of adaptive testing strategies that reduce unnecessary testing, while ensuring that patient deterioration is identified in a timely manner. Established guidelines for testing of total serum cholesterol for hypercholesterolemia are appropriate and are well-adhered to, whereas guidelines for glycated hemoglobin A1c testing for type 2 diabetes mellitus could be improved to bring them in line with current practice and avoid unnecessary testing. Nature Publishing Group UK 2017-07-26 /pmc/articles/PMC5529363/ /pubmed/28747722 http://dx.doi.org/10.1038/s41598-017-06492-6 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Pannu, Jaspreet Poole, Sarah Shah, Neil Shah, Nigam H. Assessing Screening Guidelines for Cardiovascular Disease Risk Factors using Routinely Collected Data |
title | Assessing Screening Guidelines for Cardiovascular Disease Risk Factors using Routinely Collected Data |
title_full | Assessing Screening Guidelines for Cardiovascular Disease Risk Factors using Routinely Collected Data |
title_fullStr | Assessing Screening Guidelines for Cardiovascular Disease Risk Factors using Routinely Collected Data |
title_full_unstemmed | Assessing Screening Guidelines for Cardiovascular Disease Risk Factors using Routinely Collected Data |
title_short | Assessing Screening Guidelines for Cardiovascular Disease Risk Factors using Routinely Collected Data |
title_sort | assessing screening guidelines for cardiovascular disease risk factors using routinely collected data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5529363/ https://www.ncbi.nlm.nih.gov/pubmed/28747722 http://dx.doi.org/10.1038/s41598-017-06492-6 |
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