Cargando…

COSEHC global vascular risk management quality improvement program: rationale and design

BACKGROUND: The Consortium for Southeastern Hypertension Control (COSEHC) promotes global risk factor management in patients with metabolic syndrome. The COSEHC Global Vascular Risk Management Study (GVRM) intends to quantify these efforts on long-term patient outcomes. The objectives of this study...

Descripción completa

Detalles Bibliográficos
Autores principales: Ferrario, Carlos M, Moore, Michael A, Bestermann, William, Colby, Chris, Exuzides, Alex, Simmons, Debra, Panjabi, Sumeet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3169675/
https://www.ncbi.nlm.nih.gov/pubmed/21931496
http://dx.doi.org/10.2147/VHRM.S13746
_version_ 1782211526965329920
author Ferrario, Carlos M
Moore, Michael A
Bestermann, William
Colby, Chris
Exuzides, Alex
Simmons, Debra
Panjabi, Sumeet
author_facet Ferrario, Carlos M
Moore, Michael A
Bestermann, William
Colby, Chris
Exuzides, Alex
Simmons, Debra
Panjabi, Sumeet
author_sort Ferrario, Carlos M
collection PubMed
description BACKGROUND: The Consortium for Southeastern Hypertension Control (COSEHC) promotes global risk factor management in patients with metabolic syndrome. The COSEHC Global Vascular Risk Management Study (GVRM) intends to quantify these efforts on long-term patient outcomes. The objectives of this study were to present baseline demographics of patients enrolled in the GVRM, calculate a modified COSEHC risk score using 11 variables (COSEHC-11), and compare it with the original COSEHC-17 and Framingham, Prospective Cardiovascular Münster (PROCAM), and Systemic Coronary Risk Evaluation (SCORE) risk scores. METHODS: Deidentified electronic medical records of enrolled patients were used to calculate the risk scores. The ability of the COSEHC-11 score to predict the COSEHC-17 score was assessed by regression analysis. Raw risk scores were converted to probability estimates of fatal coronary heart disease (CHD) and compared with predicted risks from other algorithms. RESULTS: Of the 177,404 patients enrolled, 43,676 had data for all 11 variables. The COSEHC-11 score (mean ± standard deviation) of these 43,676 patients was 31.75 ± 11.66, implying a five-year fatal CHD risk of 1.4%. The COSEHC-11 score was highly predictive of the COSEHC-17 score (R(2) = 0.93; P < 0.0001) and correlated well with the SCORE algorithm. CONCLUSION: The COSEHC-11 risk score is statistically similar to the COSEHC-17 risk score and should be a viable tool for evaluating its ability to predict five-year cardiovascular mortality in the coming years.
format Online
Article
Text
id pubmed-3169675
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher Dove Medical Press
record_format MEDLINE/PubMed
spelling pubmed-31696752011-09-19 COSEHC global vascular risk management quality improvement program: rationale and design Ferrario, Carlos M Moore, Michael A Bestermann, William Colby, Chris Exuzides, Alex Simmons, Debra Panjabi, Sumeet Vasc Health Risk Manag Original Research BACKGROUND: The Consortium for Southeastern Hypertension Control (COSEHC) promotes global risk factor management in patients with metabolic syndrome. The COSEHC Global Vascular Risk Management Study (GVRM) intends to quantify these efforts on long-term patient outcomes. The objectives of this study were to present baseline demographics of patients enrolled in the GVRM, calculate a modified COSEHC risk score using 11 variables (COSEHC-11), and compare it with the original COSEHC-17 and Framingham, Prospective Cardiovascular Münster (PROCAM), and Systemic Coronary Risk Evaluation (SCORE) risk scores. METHODS: Deidentified electronic medical records of enrolled patients were used to calculate the risk scores. The ability of the COSEHC-11 score to predict the COSEHC-17 score was assessed by regression analysis. Raw risk scores were converted to probability estimates of fatal coronary heart disease (CHD) and compared with predicted risks from other algorithms. RESULTS: Of the 177,404 patients enrolled, 43,676 had data for all 11 variables. The COSEHC-11 score (mean ± standard deviation) of these 43,676 patients was 31.75 ± 11.66, implying a five-year fatal CHD risk of 1.4%. The COSEHC-11 score was highly predictive of the COSEHC-17 score (R(2) = 0.93; P < 0.0001) and correlated well with the SCORE algorithm. CONCLUSION: The COSEHC-11 risk score is statistically similar to the COSEHC-17 risk score and should be a viable tool for evaluating its ability to predict five-year cardiovascular mortality in the coming years. Dove Medical Press 2010 2010-12-13 /pmc/articles/PMC3169675/ /pubmed/21931496 http://dx.doi.org/10.2147/VHRM.S13746 Text en © 2010 Ferrario et al, publisher and licensee Dove Medical Press Ltd. This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited.
spellingShingle Original Research
Ferrario, Carlos M
Moore, Michael A
Bestermann, William
Colby, Chris
Exuzides, Alex
Simmons, Debra
Panjabi, Sumeet
COSEHC global vascular risk management quality improvement program: rationale and design
title COSEHC global vascular risk management quality improvement program: rationale and design
title_full COSEHC global vascular risk management quality improvement program: rationale and design
title_fullStr COSEHC global vascular risk management quality improvement program: rationale and design
title_full_unstemmed COSEHC global vascular risk management quality improvement program: rationale and design
title_short COSEHC global vascular risk management quality improvement program: rationale and design
title_sort cosehc global vascular risk management quality improvement program: rationale and design
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3169675/
https://www.ncbi.nlm.nih.gov/pubmed/21931496
http://dx.doi.org/10.2147/VHRM.S13746
work_keys_str_mv AT ferrariocarlosm cosehcglobalvascularriskmanagementqualityimprovementprogramrationaleanddesign
AT mooremichaela cosehcglobalvascularriskmanagementqualityimprovementprogramrationaleanddesign
AT bestermannwilliam cosehcglobalvascularriskmanagementqualityimprovementprogramrationaleanddesign
AT colbychris cosehcglobalvascularriskmanagementqualityimprovementprogramrationaleanddesign
AT exuzidesalex cosehcglobalvascularriskmanagementqualityimprovementprogramrationaleanddesign
AT simmonsdebra cosehcglobalvascularriskmanagementqualityimprovementprogramrationaleanddesign
AT panjabisumeet cosehcglobalvascularriskmanagementqualityimprovementprogramrationaleanddesign