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Efficiently screening heart failure in patients with type 2 diabetes

Aims Our aim was to develop a screening tool for heart failure in patients with type 2 diabetes. Methods and results A total of 581 consecutive patients from 21 primary care practices in The Netherlands with type 2 diabetes, in whom the diagnosis of heart failure (HF) was not known, underwent an ext...

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Published in:European journal of heart failure 2015-02, Vol.17 (2), p.187-195
Main Authors: Boonman-de Winter, Leandra J.M., Rutten, Frans H., Cramer, Maarten J., Landman, Marcel J., Zuithoff, Nicolaas P.A., Liem, Anho H., Hoes, Arno W.
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cited_by cdi_FETCH-LOGICAL-c3936-a07d54332216f7c7b3441a37903c837e35cd1e0cb7d0a092fe362b4a890e869f3
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container_end_page 195
container_issue 2
container_start_page 187
container_title European journal of heart failure
container_volume 17
creator Boonman-de Winter, Leandra J.M.
Rutten, Frans H.
Cramer, Maarten J.
Landman, Marcel J.
Zuithoff, Nicolaas P.A.
Liem, Anho H.
Hoes, Arno W.
description Aims Our aim was to develop a screening tool for heart failure in patients with type 2 diabetes. Methods and results A total of 581 consecutive patients from 21 primary care practices in The Netherlands with type 2 diabetes, in whom the diagnosis of heart failure (HF) was not known, underwent an extensive diagnostic assessment, including medical history taking, physical examination, ECG, and echocardiography. The presence or absence of HF was established by a panel of two cardiologists and one general practitioner following the guidelines on HF of the European Society of Cardiology. In 161 patients, HF was considered present. A model based on the medical history and symptoms had a good discriminative value for detecting or excluding HF [C‐statistic after bootstrapping 0.80; 95% confidence interval (CI) 0.76–0.83]. Adding signs improved the C‐statistic to 0.82 (95% CI 0.79–0.86). A diagnostic screening score based on the clinical model had good discriminative properties applying a cut‐off of 3 points (24.7% risk of HF) with sensitivity 70.8%, specificity 79.0%, negative predictive value 87.6%, and positive predictive value 56.4%. ECG and natriuretic peptides both had independent added value beyond the clinical model and increased the C‐statistic to 0.86 (95% CI 0.83– 0.89). With a 20% threshold, the net reclassification of adding ECG and NT‐proBNP to the clinical model was only 0.06. Conclusions A decision aid based on items from the clinical assessment is useful for screening HF in older patients with type 2 diabetes and to pre‐select for echocardiography. Trial registration NL2271704108.
doi_str_mv 10.1002/ejhf.216
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Methods and results A total of 581 consecutive patients from 21 primary care practices in The Netherlands with type 2 diabetes, in whom the diagnosis of heart failure (HF) was not known, underwent an extensive diagnostic assessment, including medical history taking, physical examination, ECG, and echocardiography. The presence or absence of HF was established by a panel of two cardiologists and one general practitioner following the guidelines on HF of the European Society of Cardiology. In 161 patients, HF was considered present. A model based on the medical history and symptoms had a good discriminative value for detecting or excluding HF [C‐statistic after bootstrapping 0.80; 95% confidence interval (CI) 0.76–0.83]. Adding signs improved the C‐statistic to 0.82 (95% CI 0.79–0.86). A diagnostic screening score based on the clinical model had good discriminative properties applying a cut‐off of 3 points (24.7% risk of HF) with sensitivity 70.8%, specificity 79.0%, negative predictive value 87.6%, and positive predictive value 56.4%. ECG and natriuretic peptides both had independent added value beyond the clinical model and increased the C‐statistic to 0.86 (95% CI 0.83– 0.89). With a 20% threshold, the net reclassification of adding ECG and NT‐proBNP to the clinical model was only 0.06. Conclusions A decision aid based on items from the clinical assessment is useful for screening HF in older patients with type 2 diabetes and to pre‐select for echocardiography. Trial registration NL2271704108.</description><identifier>ISSN: 1388-9842</identifier><identifier>EISSN: 1879-0844</identifier><identifier>DOI: 10.1002/ejhf.216</identifier><identifier>PMID: 25557025</identifier><language>eng</language><publisher>Oxford, UK: John Wiley &amp; Sons, Ltd</publisher><subject>Aged ; Diabetes Mellitus, Type 2 - diagnosis ; Diagnosis ; Echocardiography ; Electrocardiography ; False Negative Reactions ; Female ; Heart failure ; Heart Failure - diagnosis ; Heart Failure - prevention &amp; control ; Humans ; Male ; Middle Aged ; Predictive Value of Tests ; Primary care ; Screening ; Sensitivity and specificity ; Type 2 diabetes</subject><ispartof>European journal of heart failure, 2015-02, Vol.17 (2), p.187-195</ispartof><rights>2014 The Authors. © 2014 European Society of Cardiology</rights><rights>2014 The Authors. 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Methods and results A total of 581 consecutive patients from 21 primary care practices in The Netherlands with type 2 diabetes, in whom the diagnosis of heart failure (HF) was not known, underwent an extensive diagnostic assessment, including medical history taking, physical examination, ECG, and echocardiography. The presence or absence of HF was established by a panel of two cardiologists and one general practitioner following the guidelines on HF of the European Society of Cardiology. In 161 patients, HF was considered present. A model based on the medical history and symptoms had a good discriminative value for detecting or excluding HF [C‐statistic after bootstrapping 0.80; 95% confidence interval (CI) 0.76–0.83]. Adding signs improved the C‐statistic to 0.82 (95% CI 0.79–0.86). A diagnostic screening score based on the clinical model had good discriminative properties applying a cut‐off of 3 points (24.7% risk of HF) with sensitivity 70.8%, specificity 79.0%, negative predictive value 87.6%, and positive predictive value 56.4%. ECG and natriuretic peptides both had independent added value beyond the clinical model and increased the C‐statistic to 0.86 (95% CI 0.83– 0.89). With a 20% threshold, the net reclassification of adding ECG and NT‐proBNP to the clinical model was only 0.06. Conclusions A decision aid based on items from the clinical assessment is useful for screening HF in older patients with type 2 diabetes and to pre‐select for echocardiography. Trial registration NL2271704108.</description><subject>Aged</subject><subject>Diabetes Mellitus, Type 2 - diagnosis</subject><subject>Diagnosis</subject><subject>Echocardiography</subject><subject>Electrocardiography</subject><subject>False Negative Reactions</subject><subject>Female</subject><subject>Heart failure</subject><subject>Heart Failure - diagnosis</subject><subject>Heart Failure - prevention &amp; control</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Predictive Value of Tests</subject><subject>Primary care</subject><subject>Screening</subject><subject>Sensitivity and specificity</subject><subject>Type 2 diabetes</subject><issn>1388-9842</issn><issn>1879-0844</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNp10LtOwzAUBmALgWgpSDwB8siS4ksSOyMqvQAVLKBKLJbjHFOXNC12otK3J1VLN6bj4dPvc36ErinpU0LYHSzmts9oeoK6VIosIjKOT9s3lzLKZMw66CKEBSFUtPocdViSJIKwpIsehtY646Cqyy0OxgNUrvrEc9C-xla7svGAXYXXut6hgDeunuN6uwbMcOF0DjWES3RmdRng6jB76H00fBtMounr-HFwP40Mz3gaaSKKJOactZtaYUTO45hqLjLCjeQCeGIKCsTkoiCaZMwCT1kea5kRkGlmeQ_d7nPXfvXdQKjV0gUDZakrWDVB0bS9izHS_nGkxq9C8GDV2rul9ltFidp1pnadqXaTlt4cUpt8CcUR_pXUgmgPNq6E7b9Bavg0Ge0DD96FGn6OXvsvlQouEjV7GauZTFmajT_UM_8FEsGDXA</recordid><startdate>201502</startdate><enddate>201502</enddate><creator>Boonman-de Winter, Leandra J.M.</creator><creator>Rutten, Frans H.</creator><creator>Cramer, Maarten J.</creator><creator>Landman, Marcel J.</creator><creator>Zuithoff, Nicolaas P.A.</creator><creator>Liem, Anho H.</creator><creator>Hoes, Arno W.</creator><general>John Wiley &amp; Sons, Ltd</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201502</creationdate><title>Efficiently screening heart failure in patients with type 2 diabetes</title><author>Boonman-de Winter, Leandra J.M. ; Rutten, Frans H. ; Cramer, Maarten J. ; Landman, Marcel J. ; Zuithoff, Nicolaas P.A. ; Liem, Anho H. ; Hoes, Arno W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3936-a07d54332216f7c7b3441a37903c837e35cd1e0cb7d0a092fe362b4a890e869f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Aged</topic><topic>Diabetes Mellitus, Type 2 - diagnosis</topic><topic>Diagnosis</topic><topic>Echocardiography</topic><topic>Electrocardiography</topic><topic>False Negative Reactions</topic><topic>Female</topic><topic>Heart failure</topic><topic>Heart Failure - diagnosis</topic><topic>Heart Failure - prevention &amp; control</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Predictive Value of Tests</topic><topic>Primary care</topic><topic>Screening</topic><topic>Sensitivity and specificity</topic><topic>Type 2 diabetes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Boonman-de Winter, Leandra J.M.</creatorcontrib><creatorcontrib>Rutten, Frans H.</creatorcontrib><creatorcontrib>Cramer, Maarten J.</creatorcontrib><creatorcontrib>Landman, Marcel J.</creatorcontrib><creatorcontrib>Zuithoff, Nicolaas P.A.</creatorcontrib><creatorcontrib>Liem, Anho H.</creatorcontrib><creatorcontrib>Hoes, Arno W.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of heart failure</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Boonman-de Winter, Leandra J.M.</au><au>Rutten, Frans H.</au><au>Cramer, Maarten J.</au><au>Landman, Marcel J.</au><au>Zuithoff, Nicolaas P.A.</au><au>Liem, Anho H.</au><au>Hoes, Arno W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Efficiently screening heart failure in patients with type 2 diabetes</atitle><jtitle>European journal of heart failure</jtitle><addtitle>Eur J Heart Fail</addtitle><date>2015-02</date><risdate>2015</risdate><volume>17</volume><issue>2</issue><spage>187</spage><epage>195</epage><pages>187-195</pages><issn>1388-9842</issn><eissn>1879-0844</eissn><abstract>Aims Our aim was to develop a screening tool for heart failure in patients with type 2 diabetes. 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subjects Aged
Diabetes Mellitus, Type 2 - diagnosis
Diagnosis
Echocardiography
Electrocardiography
False Negative Reactions
Female
Heart failure
Heart Failure - diagnosis
Heart Failure - prevention & control
Humans
Male
Middle Aged
Predictive Value of Tests
Primary care
Screening
Sensitivity and specificity
Type 2 diabetes
title Efficiently screening heart failure in patients with type 2 diabetes
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