Agreement Between Office-Based and Laboratory-Based Globorisk Models and their Prediction of Cardiovascular Diseases in Turkish Population: A Nationwide Cohort Study
Globorisk is a country-specific risk prediction model that estimates 10-year cardiovascular disease (CVD) risk. This study aims to evaluate the agreement between different versions of Globorisk and their ability to predict CVD in a nationwide Turkish cohort. Baseline data from 5449 participants aged...
Gespeichert in:
Veröffentlicht in: | Journal of prevention (2022 : Print) 2024-12 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | Journal of prevention (2022 : Print) |
container_volume | |
creator | Türe, Neslişah Emecen, Ahmet Naci Ünal, Belgin |
description | Globorisk is a country-specific risk prediction model that estimates 10-year cardiovascular disease (CVD) risk. This study aims to evaluate the agreement between different versions of Globorisk and their ability to predict CVD in a nationwide Turkish cohort. Baseline data from 5449 participants aged 40-74 were obtained from Türkiye Chronic Diseases and Risk Factors Survey 2011. Office- and laboratory-based Globorisk risk scores were calculated using age, gender, systolic blood pressure (SBP), current smoking status, body mass index (BMI), diabetes, and total cholesterol levels. Correlation and Bland-Altman analysis were employed to assess the agreement between 10-year risk scores. Multivariable logistic regression models were estimated with Globorisk variables to predict the presence of CVD over a 6-year follow-up period. Model calibration was performed. The study identified 515 incident CVD cases during the 6-year follow-up period. There was a strong positive correlation between 10-year Globorisk versions (r = 0.89). The limit of the agreement was narrower in males (- 6.11 to 6.89%) compared to females (- 7.01 to 7.73%). Age and systolic blood pressure were associated with 6-year CVD in both office- and laboratory-based models. The models showed similar discriminative performance (AUC: 0.68) and predictive accuracy (mean absolute error: 0.009) for 6-year CVD. Both Globorisk models were strongly correlated, had similar discrimination power and predictive accuracy. The office-based Globorisk can be used instead of the laboratory-based model, especially where resources are limited. |
doi_str_mv | 10.1007/s10935-024-00819-6 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3146847911</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3146847911</sourcerecordid><originalsourceid>FETCH-LOGICAL-c184t-ee178fb32d0a5998cfcd860a7532826667d10e1ea7cb1cd05e9abe3ab7347f043</originalsourceid><addsrcrecordid>eNo9kUFv1DAQhS0EolXpH-CAfOQSOhMndsJtu4WCtNBKlLPl2BPWNBsvtkO1P6j_k3R36Wme3rz3Lh9jbxE-IIC6SAitqAsoqwKgwbaQL9hpqQQWdV3hy2ctxAk7T-k3AJQKoYT6NTsRrVQSK3HKHhe_ItGGxswvKT8Qjfym772l4tIkctyMjq9MF6LJIe6O5vUQZsene_4tOBrSPpXX5CO_jeS8zT6MPPR8aaLz4a9JdhpM5Fc-0TyQuB_53RTvfVrz27Cdf0-Fj3zBv-_Vg3fEl2EdYuY_8uR2b9ir3gyJzo_3jP38_Olu-aVY3Vx_XS5WhcWmygURqqbvROnA1G3b2N66RoJRtSibUkqpHAIhGWU7tA5qak1HwnRKVKqHSpyx94fdbQx_JkpZb3yyNAxmpDAlLbCSTaVaxDlaHqI2hpQi9Xob_cbEnUbQT4T0gZCeCek9IS3n0rvj_tRtyD1X_vMQ_wAXWo6P</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3146847911</pqid></control><display><type>article</type><title>Agreement Between Office-Based and Laboratory-Based Globorisk Models and their Prediction of Cardiovascular Diseases in Turkish Population: A Nationwide Cohort Study</title><source>Springer Nature - Complete Springer Journals</source><creator>Türe, Neslişah ; Emecen, Ahmet Naci ; Ünal, Belgin</creator><creatorcontrib>Türe, Neslişah ; Emecen, Ahmet Naci ; Ünal, Belgin</creatorcontrib><description>Globorisk is a country-specific risk prediction model that estimates 10-year cardiovascular disease (CVD) risk. This study aims to evaluate the agreement between different versions of Globorisk and their ability to predict CVD in a nationwide Turkish cohort. Baseline data from 5449 participants aged 40-74 were obtained from Türkiye Chronic Diseases and Risk Factors Survey 2011. Office- and laboratory-based Globorisk risk scores were calculated using age, gender, systolic blood pressure (SBP), current smoking status, body mass index (BMI), diabetes, and total cholesterol levels. Correlation and Bland-Altman analysis were employed to assess the agreement between 10-year risk scores. Multivariable logistic regression models were estimated with Globorisk variables to predict the presence of CVD over a 6-year follow-up period. Model calibration was performed. The study identified 515 incident CVD cases during the 6-year follow-up period. There was a strong positive correlation between 10-year Globorisk versions (r = 0.89). The limit of the agreement was narrower in males (- 6.11 to 6.89%) compared to females (- 7.01 to 7.73%). Age and systolic blood pressure were associated with 6-year CVD in both office- and laboratory-based models. The models showed similar discriminative performance (AUC: 0.68) and predictive accuracy (mean absolute error: 0.009) for 6-year CVD. Both Globorisk models were strongly correlated, had similar discrimination power and predictive accuracy. The office-based Globorisk can be used instead of the laboratory-based model, especially where resources are limited.</description><identifier>ISSN: 2731-5533</identifier><identifier>ISSN: 2731-5541</identifier><identifier>EISSN: 2731-5541</identifier><identifier>DOI: 10.1007/s10935-024-00819-6</identifier><identifier>PMID: 39676143</identifier><language>eng</language><publisher>Switzerland</publisher><ispartof>Journal of prevention (2022 : Print), 2024-12</ispartof><rights>2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c184t-ee178fb32d0a5998cfcd860a7532826667d10e1ea7cb1cd05e9abe3ab7347f043</cites><orcidid>0000-0003-3995-0591</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39676143$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Türe, Neslişah</creatorcontrib><creatorcontrib>Emecen, Ahmet Naci</creatorcontrib><creatorcontrib>Ünal, Belgin</creatorcontrib><title>Agreement Between Office-Based and Laboratory-Based Globorisk Models and their Prediction of Cardiovascular Diseases in Turkish Population: A Nationwide Cohort Study</title><title>Journal of prevention (2022 : Print)</title><addtitle>J Prev (2022)</addtitle><description>Globorisk is a country-specific risk prediction model that estimates 10-year cardiovascular disease (CVD) risk. This study aims to evaluate the agreement between different versions of Globorisk and their ability to predict CVD in a nationwide Turkish cohort. Baseline data from 5449 participants aged 40-74 were obtained from Türkiye Chronic Diseases and Risk Factors Survey 2011. Office- and laboratory-based Globorisk risk scores were calculated using age, gender, systolic blood pressure (SBP), current smoking status, body mass index (BMI), diabetes, and total cholesterol levels. Correlation and Bland-Altman analysis were employed to assess the agreement between 10-year risk scores. Multivariable logistic regression models were estimated with Globorisk variables to predict the presence of CVD over a 6-year follow-up period. Model calibration was performed. The study identified 515 incident CVD cases during the 6-year follow-up period. There was a strong positive correlation between 10-year Globorisk versions (r = 0.89). The limit of the agreement was narrower in males (- 6.11 to 6.89%) compared to females (- 7.01 to 7.73%). Age and systolic blood pressure were associated with 6-year CVD in both office- and laboratory-based models. The models showed similar discriminative performance (AUC: 0.68) and predictive accuracy (mean absolute error: 0.009) for 6-year CVD. Both Globorisk models were strongly correlated, had similar discrimination power and predictive accuracy. The office-based Globorisk can be used instead of the laboratory-based model, especially where resources are limited.</description><issn>2731-5533</issn><issn>2731-5541</issn><issn>2731-5541</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNo9kUFv1DAQhS0EolXpH-CAfOQSOhMndsJtu4WCtNBKlLPl2BPWNBsvtkO1P6j_k3R36Wme3rz3Lh9jbxE-IIC6SAitqAsoqwKgwbaQL9hpqQQWdV3hy2ctxAk7T-k3AJQKoYT6NTsRrVQSK3HKHhe_ItGGxswvKT8Qjfym772l4tIkctyMjq9MF6LJIe6O5vUQZsene_4tOBrSPpXX5CO_jeS8zT6MPPR8aaLz4a9JdhpM5Fc-0TyQuB_53RTvfVrz27Cdf0-Fj3zBv-_Vg3fEl2EdYuY_8uR2b9ir3gyJzo_3jP38_Olu-aVY3Vx_XS5WhcWmygURqqbvROnA1G3b2N66RoJRtSibUkqpHAIhGWU7tA5qak1HwnRKVKqHSpyx94fdbQx_JkpZb3yyNAxmpDAlLbCSTaVaxDlaHqI2hpQi9Xob_cbEnUbQT4T0gZCeCek9IS3n0rvj_tRtyD1X_vMQ_wAXWo6P</recordid><startdate>20241215</startdate><enddate>20241215</enddate><creator>Türe, Neslişah</creator><creator>Emecen, Ahmet Naci</creator><creator>Ünal, Belgin</creator><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3995-0591</orcidid></search><sort><creationdate>20241215</creationdate><title>Agreement Between Office-Based and Laboratory-Based Globorisk Models and their Prediction of Cardiovascular Diseases in Turkish Population: A Nationwide Cohort Study</title><author>Türe, Neslişah ; Emecen, Ahmet Naci ; Ünal, Belgin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c184t-ee178fb32d0a5998cfcd860a7532826667d10e1ea7cb1cd05e9abe3ab7347f043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Türe, Neslişah</creatorcontrib><creatorcontrib>Emecen, Ahmet Naci</creatorcontrib><creatorcontrib>Ünal, Belgin</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of prevention (2022 : Print)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Türe, Neslişah</au><au>Emecen, Ahmet Naci</au><au>Ünal, Belgin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Agreement Between Office-Based and Laboratory-Based Globorisk Models and their Prediction of Cardiovascular Diseases in Turkish Population: A Nationwide Cohort Study</atitle><jtitle>Journal of prevention (2022 : Print)</jtitle><addtitle>J Prev (2022)</addtitle><date>2024-12-15</date><risdate>2024</risdate><issn>2731-5533</issn><issn>2731-5541</issn><eissn>2731-5541</eissn><abstract>Globorisk is a country-specific risk prediction model that estimates 10-year cardiovascular disease (CVD) risk. This study aims to evaluate the agreement between different versions of Globorisk and their ability to predict CVD in a nationwide Turkish cohort. Baseline data from 5449 participants aged 40-74 were obtained from Türkiye Chronic Diseases and Risk Factors Survey 2011. Office- and laboratory-based Globorisk risk scores were calculated using age, gender, systolic blood pressure (SBP), current smoking status, body mass index (BMI), diabetes, and total cholesterol levels. Correlation and Bland-Altman analysis were employed to assess the agreement between 10-year risk scores. Multivariable logistic regression models were estimated with Globorisk variables to predict the presence of CVD over a 6-year follow-up period. Model calibration was performed. The study identified 515 incident CVD cases during the 6-year follow-up period. There was a strong positive correlation between 10-year Globorisk versions (r = 0.89). The limit of the agreement was narrower in males (- 6.11 to 6.89%) compared to females (- 7.01 to 7.73%). Age and systolic blood pressure were associated with 6-year CVD in both office- and laboratory-based models. The models showed similar discriminative performance (AUC: 0.68) and predictive accuracy (mean absolute error: 0.009) for 6-year CVD. Both Globorisk models were strongly correlated, had similar discrimination power and predictive accuracy. The office-based Globorisk can be used instead of the laboratory-based model, especially where resources are limited.</abstract><cop>Switzerland</cop><pmid>39676143</pmid><doi>10.1007/s10935-024-00819-6</doi><orcidid>https://orcid.org/0000-0003-3995-0591</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2731-5533 |
ispartof | Journal of prevention (2022 : Print), 2024-12 |
issn | 2731-5533 2731-5541 2731-5541 |
language | eng |
recordid | cdi_proquest_miscellaneous_3146847911 |
source | Springer Nature - Complete Springer Journals |
title | Agreement Between Office-Based and Laboratory-Based Globorisk Models and their Prediction of Cardiovascular Diseases in Turkish Population: A Nationwide Cohort Study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T00%3A05%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Agreement%20Between%20Office-Based%20and%20Laboratory-Based%20Globorisk%20Models%20and%20their%20Prediction%20of%20Cardiovascular%20Diseases%20in%20Turkish%20Population:%20A%20Nationwide%20Cohort%20Study&rft.jtitle=Journal%20of%20prevention%20(2022%20:%20Print)&rft.au=T%C3%BCre,%20Nesli%C5%9Fah&rft.date=2024-12-15&rft.issn=2731-5533&rft.eissn=2731-5541&rft_id=info:doi/10.1007/s10935-024-00819-6&rft_dat=%3Cproquest_cross%3E3146847911%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3146847911&rft_id=info:pmid/39676143&rfr_iscdi=true |