Loading…
The spectrum of comorbidities at the initial diagnosis of heart failure a case control study
The prognosis of heart failure (HF) patients is determined to a decisive extent by comorbidities. The present study investigates the association between a broad spectrum of diseases and the occurrence of HF in a large collective of outpatients. This retrospective case control study assessed the prev...
Saved in:
Published in: | Scientific reports 2022-02, Vol.12 (1), p.2670-2670, Article 2670 |
---|---|
Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c540t-759b7f7b79ae92482f32a925ac02d041694a9c649338093ba39f696395de4a5c3 |
---|---|
cites | cdi_FETCH-LOGICAL-c540t-759b7f7b79ae92482f32a925ac02d041694a9c649338093ba39f696395de4a5c3 |
container_end_page | 2670 |
container_issue | 1 |
container_start_page | 2670 |
container_title | Scientific reports |
container_volume | 12 |
creator | Loosen, Sven H. Roderburg, Christoph Curth, Ole Gaensbacher, Julia Joerdens, Markus Luedde, Tom Konrad, Marcel Kostev, Karel Luedde, Mark |
description | The prognosis of heart failure (HF) patients is determined to a decisive extent by comorbidities. The present study investigates the association between a broad spectrum of diseases and the occurrence of HF in a large collective of outpatients. This retrospective case control study assessed the prevalence of 37 cardiac and extracardiac diseases in patients with an initial diagnosis of heart failure (ICD-10: I50) in 1,274 general practices in Germany between January 2005 and December 2019. The study is based on the Disease Analyzer database (IQVIA), which contains drug prescriptions, diagnoses, and basic medical and demographic data. Patients with and without heart failure were matched by sex, age, and index year. Hazard regression models were conducted to evaluate the association between different disease entities and heart failure. The present study included 162,246 patients with heart failure and 162,246 patients without heart failure. Mean age [SD] was 73.7 [12.1] years; 52.6% were women. Out of 37 predefined diagnoses, 36 were more prevalent in HF patients. The highest prevalence was primary hypertension (63.4% in HF patients vs. 53.3% in controls,
p
|
doi_str_mv | 10.1038/s41598-022-06618-5 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_c127caf8044b4b3fa7f59b33f0f7b99b</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_c127caf8044b4b3fa7f59b33f0f7b99b</doaj_id><sourcerecordid>2630919122</sourcerecordid><originalsourceid>FETCH-LOGICAL-c540t-759b7f7b79ae92482f32a925ac02d041694a9c649338093ba39f696395de4a5c3</originalsourceid><addsrcrecordid>eNp9ks9vFSEQx4nR2ObZf8CDIfHiZRUG2IWLiWn80aSJl3ozIbMsvMfLvuUJuyb970u7tbYe5MLAfOY7MzCEvObsPWdCfyiSK6MbBtCwtuW6Uc_IKTCpGhAAzx_ZJ-SslD2rS4GR3LwkJ0LxrmuNPiU_r3aelqN3c14ONAXq0iHlPg5xjr5QnOlcgTjVI450iLidUonlltx5zDMNGMcle4rUYfE1fJpzGmmZl-H6FXkRcCz-7H7fkB9fPl-df2suv3-9OP902Tgl2dx0yvRd6PrOoDcgNQQBaEChYzAwyVsj0bhWGiE0M6JHYUJrWmHU4CUqJzbkYtUdEu7tMccD5mubMNq7i5S3tpYa3eit49A5DJpJ2cteBOxCzS5EYLUAU60N-bhqHZf-4Afnaz84PhF96pnizm7Tb6u1kqrWuCHv7gVy-rX4MttDLM6PI04-LcVCK5jhhgNU9O0_6D4teapPVSkwCrSWvFKwUi6nUrIPD8VwZm9nwa6zYOss2LtZsKoGvXncxkPIn5-vgFiBUl3T1ue_uf8jewMjz78S</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2629528841</pqid></control><display><type>article</type><title>The spectrum of comorbidities at the initial diagnosis of heart failure a case control study</title><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><source>NCBI_PubMed Central(免费)</source><source>Full-Text Journals in Chemistry (Open access)</source><source>Springer Nature - nature.com Journals - Fully Open Access</source><creator>Loosen, Sven H. ; Roderburg, Christoph ; Curth, Ole ; Gaensbacher, Julia ; Joerdens, Markus ; Luedde, Tom ; Konrad, Marcel ; Kostev, Karel ; Luedde, Mark</creator><creatorcontrib>Loosen, Sven H. ; Roderburg, Christoph ; Curth, Ole ; Gaensbacher, Julia ; Joerdens, Markus ; Luedde, Tom ; Konrad, Marcel ; Kostev, Karel ; Luedde, Mark</creatorcontrib><description>The prognosis of heart failure (HF) patients is determined to a decisive extent by comorbidities. The present study investigates the association between a broad spectrum of diseases and the occurrence of HF in a large collective of outpatients. This retrospective case control study assessed the prevalence of 37 cardiac and extracardiac diseases in patients with an initial diagnosis of heart failure (ICD-10: I50) in 1,274 general practices in Germany between January 2005 and December 2019. The study is based on the Disease Analyzer database (IQVIA), which contains drug prescriptions, diagnoses, and basic medical and demographic data. Patients with and without heart failure were matched by sex, age, and index year. Hazard regression models were conducted to evaluate the association between different disease entities and heart failure. The present study included 162,246 patients with heart failure and 162,246 patients without heart failure. Mean age [SD] was 73.7 [12.1] years; 52.6% were women. Out of 37 predefined diagnoses, 36 were more prevalent in HF patients. The highest prevalence was primary hypertension (63.4% in HF patients vs. 53.3% in controls,
p
< 0.001) followed by lipid metabolism disorders (34.6% in HF patients vs. 29.1% in HF patients
p
< 0.001) and diabetes mellitus type II (32.2% in HF patients vs. 25.2% in controls,
p
< 0.001). In the regression analysis, 19 diseases were significantly associated with heart failure. Non-cardiovascular diagnoses strongly associated with HF were obesity (HR = 1.46), chronic bronchitis and COPD (HR = 1.41), gout (HR: 1.41), and chronic kidney disease (HR = 1.27). In the present study, we identified a variety of cardiac and extracardiac diseases associated with heart failure. Our data underscore the immense importance of comorbidities, even as early as at the stage of initial diagnosis of heart failure.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-022-06618-5</identifier><identifier>PMID: 35177698</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/4019 ; 692/700/139 ; Aged ; Aged, 80 and over ; Bronchitis ; Chronic obstructive pulmonary disease ; Comorbidity ; Congestive heart failure ; Coronary artery disease ; Diabetes mellitus ; Diagnosis ; Disease ; Female ; Germany ; Gout ; Heart failure ; Heart Failure - diagnosis ; Heart Failure - epidemiology ; Heart Failure - physiopathology ; Humanities and Social Sciences ; Humans ; Hypertension ; Kidney diseases ; Lipid metabolism ; Male ; Middle Aged ; Models, Cardiovascular ; multidisciplinary ; Patients ; Registries ; Regression analysis ; Retrospective Studies ; Science ; Science (multidisciplinary)</subject><ispartof>Scientific reports, 2022-02, Vol.12 (1), p.2670-2670, Article 2670</ispartof><rights>The Author(s) 2022</rights><rights>2022. The Author(s).</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-759b7f7b79ae92482f32a925ac02d041694a9c649338093ba39f696395de4a5c3</citedby><cites>FETCH-LOGICAL-c540t-759b7f7b79ae92482f32a925ac02d041694a9c649338093ba39f696395de4a5c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2629528841/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2629528841?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35177698$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Loosen, Sven H.</creatorcontrib><creatorcontrib>Roderburg, Christoph</creatorcontrib><creatorcontrib>Curth, Ole</creatorcontrib><creatorcontrib>Gaensbacher, Julia</creatorcontrib><creatorcontrib>Joerdens, Markus</creatorcontrib><creatorcontrib>Luedde, Tom</creatorcontrib><creatorcontrib>Konrad, Marcel</creatorcontrib><creatorcontrib>Kostev, Karel</creatorcontrib><creatorcontrib>Luedde, Mark</creatorcontrib><title>The spectrum of comorbidities at the initial diagnosis of heart failure a case control study</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>The prognosis of heart failure (HF) patients is determined to a decisive extent by comorbidities. The present study investigates the association between a broad spectrum of diseases and the occurrence of HF in a large collective of outpatients. This retrospective case control study assessed the prevalence of 37 cardiac and extracardiac diseases in patients with an initial diagnosis of heart failure (ICD-10: I50) in 1,274 general practices in Germany between January 2005 and December 2019. The study is based on the Disease Analyzer database (IQVIA), which contains drug prescriptions, diagnoses, and basic medical and demographic data. Patients with and without heart failure were matched by sex, age, and index year. Hazard regression models were conducted to evaluate the association between different disease entities and heart failure. The present study included 162,246 patients with heart failure and 162,246 patients without heart failure. Mean age [SD] was 73.7 [12.1] years; 52.6% were women. Out of 37 predefined diagnoses, 36 were more prevalent in HF patients. The highest prevalence was primary hypertension (63.4% in HF patients vs. 53.3% in controls,
p
< 0.001) followed by lipid metabolism disorders (34.6% in HF patients vs. 29.1% in HF patients
p
< 0.001) and diabetes mellitus type II (32.2% in HF patients vs. 25.2% in controls,
p
< 0.001). In the regression analysis, 19 diseases were significantly associated with heart failure. Non-cardiovascular diagnoses strongly associated with HF were obesity (HR = 1.46), chronic bronchitis and COPD (HR = 1.41), gout (HR: 1.41), and chronic kidney disease (HR = 1.27). In the present study, we identified a variety of cardiac and extracardiac diseases associated with heart failure. Our data underscore the immense importance of comorbidities, even as early as at the stage of initial diagnosis of heart failure.</description><subject>692/4019</subject><subject>692/700/139</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Bronchitis</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Comorbidity</subject><subject>Congestive heart failure</subject><subject>Coronary artery disease</subject><subject>Diabetes mellitus</subject><subject>Diagnosis</subject><subject>Disease</subject><subject>Female</subject><subject>Germany</subject><subject>Gout</subject><subject>Heart failure</subject><subject>Heart Failure - diagnosis</subject><subject>Heart Failure - epidemiology</subject><subject>Heart Failure - physiopathology</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Kidney diseases</subject><subject>Lipid metabolism</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Models, Cardiovascular</subject><subject>multidisciplinary</subject><subject>Patients</subject><subject>Registries</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9ks9vFSEQx4nR2ObZf8CDIfHiZRUG2IWLiWn80aSJl3ozIbMsvMfLvuUJuyb970u7tbYe5MLAfOY7MzCEvObsPWdCfyiSK6MbBtCwtuW6Uc_IKTCpGhAAzx_ZJ-SslD2rS4GR3LwkJ0LxrmuNPiU_r3aelqN3c14ONAXq0iHlPg5xjr5QnOlcgTjVI450iLidUonlltx5zDMNGMcle4rUYfE1fJpzGmmZl-H6FXkRcCz-7H7fkB9fPl-df2suv3-9OP902Tgl2dx0yvRd6PrOoDcgNQQBaEChYzAwyVsj0bhWGiE0M6JHYUJrWmHU4CUqJzbkYtUdEu7tMccD5mubMNq7i5S3tpYa3eit49A5DJpJ2cteBOxCzS5EYLUAU60N-bhqHZf-4Afnaz84PhF96pnizm7Tb6u1kqrWuCHv7gVy-rX4MttDLM6PI04-LcVCK5jhhgNU9O0_6D4teapPVSkwCrSWvFKwUi6nUrIPD8VwZm9nwa6zYOss2LtZsKoGvXncxkPIn5-vgFiBUl3T1ue_uf8jewMjz78S</recordid><startdate>20220217</startdate><enddate>20220217</enddate><creator>Loosen, Sven H.</creator><creator>Roderburg, Christoph</creator><creator>Curth, Ole</creator><creator>Gaensbacher, Julia</creator><creator>Joerdens, Markus</creator><creator>Luedde, Tom</creator><creator>Konrad, Marcel</creator><creator>Kostev, Karel</creator><creator>Luedde, Mark</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><general>Nature Portfolio</general><scope>C6C</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20220217</creationdate><title>The spectrum of comorbidities at the initial diagnosis of heart failure a case control study</title><author>Loosen, Sven H. ; Roderburg, Christoph ; Curth, Ole ; Gaensbacher, Julia ; Joerdens, Markus ; Luedde, Tom ; Konrad, Marcel ; Kostev, Karel ; Luedde, Mark</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c540t-759b7f7b79ae92482f32a925ac02d041694a9c649338093ba39f696395de4a5c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>692/4019</topic><topic>692/700/139</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Bronchitis</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Comorbidity</topic><topic>Congestive heart failure</topic><topic>Coronary artery disease</topic><topic>Diabetes mellitus</topic><topic>Diagnosis</topic><topic>Disease</topic><topic>Female</topic><topic>Germany</topic><topic>Gout</topic><topic>Heart failure</topic><topic>Heart Failure - diagnosis</topic><topic>Heart Failure - epidemiology</topic><topic>Heart Failure - physiopathology</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Kidney diseases</topic><topic>Lipid metabolism</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Models, Cardiovascular</topic><topic>multidisciplinary</topic><topic>Patients</topic><topic>Registries</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Loosen, Sven H.</creatorcontrib><creatorcontrib>Roderburg, Christoph</creatorcontrib><creatorcontrib>Curth, Ole</creatorcontrib><creatorcontrib>Gaensbacher, Julia</creatorcontrib><creatorcontrib>Joerdens, Markus</creatorcontrib><creatorcontrib>Luedde, Tom</creatorcontrib><creatorcontrib>Konrad, Marcel</creatorcontrib><creatorcontrib>Kostev, Karel</creatorcontrib><creatorcontrib>Luedde, Mark</creatorcontrib><collection>Springer_OA刊</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Science Journals</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Loosen, Sven H.</au><au>Roderburg, Christoph</au><au>Curth, Ole</au><au>Gaensbacher, Julia</au><au>Joerdens, Markus</au><au>Luedde, Tom</au><au>Konrad, Marcel</au><au>Kostev, Karel</au><au>Luedde, Mark</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The spectrum of comorbidities at the initial diagnosis of heart failure a case control study</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2022-02-17</date><risdate>2022</risdate><volume>12</volume><issue>1</issue><spage>2670</spage><epage>2670</epage><pages>2670-2670</pages><artnum>2670</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>The prognosis of heart failure (HF) patients is determined to a decisive extent by comorbidities. The present study investigates the association between a broad spectrum of diseases and the occurrence of HF in a large collective of outpatients. This retrospective case control study assessed the prevalence of 37 cardiac and extracardiac diseases in patients with an initial diagnosis of heart failure (ICD-10: I50) in 1,274 general practices in Germany between January 2005 and December 2019. The study is based on the Disease Analyzer database (IQVIA), which contains drug prescriptions, diagnoses, and basic medical and demographic data. Patients with and without heart failure were matched by sex, age, and index year. Hazard regression models were conducted to evaluate the association between different disease entities and heart failure. The present study included 162,246 patients with heart failure and 162,246 patients without heart failure. Mean age [SD] was 73.7 [12.1] years; 52.6% were women. Out of 37 predefined diagnoses, 36 were more prevalent in HF patients. The highest prevalence was primary hypertension (63.4% in HF patients vs. 53.3% in controls,
p
< 0.001) followed by lipid metabolism disorders (34.6% in HF patients vs. 29.1% in HF patients
p
< 0.001) and diabetes mellitus type II (32.2% in HF patients vs. 25.2% in controls,
p
< 0.001). In the regression analysis, 19 diseases were significantly associated with heart failure. Non-cardiovascular diagnoses strongly associated with HF were obesity (HR = 1.46), chronic bronchitis and COPD (HR = 1.41), gout (HR: 1.41), and chronic kidney disease (HR = 1.27). In the present study, we identified a variety of cardiac and extracardiac diseases associated with heart failure. Our data underscore the immense importance of comorbidities, even as early as at the stage of initial diagnosis of heart failure.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>35177698</pmid><doi>10.1038/s41598-022-06618-5</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2045-2322 |
ispartof | Scientific reports, 2022-02, Vol.12 (1), p.2670-2670, Article 2670 |
issn | 2045-2322 2045-2322 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_c127caf8044b4b3fa7f59b33f0f7b99b |
source | Publicly Available Content Database (Proquest) (PQ_SDU_P3); NCBI_PubMed Central(免费); Full-Text Journals in Chemistry (Open access); Springer Nature - nature.com Journals - Fully Open Access |
subjects | 692/4019 692/700/139 Aged Aged, 80 and over Bronchitis Chronic obstructive pulmonary disease Comorbidity Congestive heart failure Coronary artery disease Diabetes mellitus Diagnosis Disease Female Germany Gout Heart failure Heart Failure - diagnosis Heart Failure - epidemiology Heart Failure - physiopathology Humanities and Social Sciences Humans Hypertension Kidney diseases Lipid metabolism Male Middle Aged Models, Cardiovascular multidisciplinary Patients Registries Regression analysis Retrospective Studies Science Science (multidisciplinary) |
title | The spectrum of comorbidities at the initial diagnosis of heart failure a case control study |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T09%3A26%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20spectrum%20of%20comorbidities%20at%20the%20initial%20diagnosis%20of%20heart%20failure%20a%20case%20control%20study&rft.jtitle=Scientific%20reports&rft.au=Loosen,%20Sven%20H.&rft.date=2022-02-17&rft.volume=12&rft.issue=1&rft.spage=2670&rft.epage=2670&rft.pages=2670-2670&rft.artnum=2670&rft.issn=2045-2322&rft.eissn=2045-2322&rft_id=info:doi/10.1038/s41598-022-06618-5&rft_dat=%3Cproquest_doaj_%3E2630919122%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c540t-759b7f7b79ae92482f32a925ac02d041694a9c649338093ba39f696395de4a5c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2629528841&rft_id=info:pmid/35177698&rfr_iscdi=true |