A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study

Background Cardiovascular disease (CVD) is one of the leading causes of death in Australia. Longitudinal record linkage studies have the potency to influence clinical decision making to improve cardiac health. This paper describes the baseline characteristics of the Queensland Cardiac Record Linkage...
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Autor*in:	Nghiem, Son [verfasserIn] Afoakwah, Clifford Scuffham, Paul Byrnes, Joshua

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Cardiovascular diseases Record linkage cohort study Queensland Australia Baseline profile

Anmerkung:	© The Author(s) 2022

Übergeordnetes Werk:	Enthalten in: BMC cardiovascular disorders - London : BioMed Central, 2001, 22(2022), 1 vom: 05. Feb.
Übergeordnetes Werk:	volume:22 ; year:2022 ; number:1 ; day:05 ; month:02

Links:	Volltext

DOI / URN:	10.1186/s12872-022-02478-z

Katalog-ID:	SPR050463926

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520			\|a Background Cardiovascular disease (CVD) is one of the leading causes of death in Australia. Longitudinal record linkage studies have the potency to influence clinical decision making to improve cardiac health. This paper describes the baseline characteristics of the Queensland Cardiac Record Linkage Cohort study (QCard). Methods International Classification of Disease, 10th Revision Australian Modification (ICD-10-AM) diagnosis codes were used to identify CVD and comorbidities. Cost and adverse health outcomes (e.g., comorbidities, hospital-acquired complications) were compared between first-time and recurrent admissions. Descriptive statistics and standard tests were used to analyse the baseline data. Results There were 132,343 patients with hospitalisations in 2010, of which 47% were recurrent admissions, and 53% were males. There were systematic differences between characteristics of recurrent and first-time hospitalisations. Patients with recurrent episodes were nine years older (70 vs. 61; p < 0.001) and experienced a twice higher risk of multiple comorbidities (3.17 vs. 1.59; p < 0.001). CVD index hospitalisations were concentrated in large metropolitan hospitals. Conclusions Our study demonstrates that linked administrative health data provide an effective tool to investigate factors determining the progress of heart disease. Our main finding suggests that recurrent admissions were associated with higher hospital costs and a higher risk of having adverse outcomes.
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allfields	10.1186/s12872-022-02478-z doi (DE-627)SPR050463926 (SPR)s12872-022-02478-z-e DE-627 ger DE-627 rakwb eng Nghiem, Son verfasserin (orcid)0000-0002-2451-5290 aut A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Cardiovascular disease (CVD) is one of the leading causes of death in Australia. Longitudinal record linkage studies have the potency to influence clinical decision making to improve cardiac health. This paper describes the baseline characteristics of the Queensland Cardiac Record Linkage Cohort study (QCard). Methods International Classification of Disease, 10th Revision Australian Modification (ICD-10-AM) diagnosis codes were used to identify CVD and comorbidities. Cost and adverse health outcomes (e.g., comorbidities, hospital-acquired complications) were compared between first-time and recurrent admissions. Descriptive statistics and standard tests were used to analyse the baseline data. Results There were 132,343 patients with hospitalisations in 2010, of which 47% were recurrent admissions, and 53% were males. There were systematic differences between characteristics of recurrent and first-time hospitalisations. Patients with recurrent episodes were nine years older (70 vs. 61; p < 0.001) and experienced a twice higher risk of multiple comorbidities (3.17 vs. 1.59; p < 0.001). CVD index hospitalisations were concentrated in large metropolitan hospitals. Conclusions Our study demonstrates that linked administrative health data provide an effective tool to investigate factors determining the progress of heart disease. Our main finding suggests that recurrent admissions were associated with higher hospital costs and a higher risk of having adverse outcomes. Cardiovascular diseases (dpeaa)DE-He213 Record linkage cohort study (dpeaa)DE-He213 Queensland (dpeaa)DE-He213 Australia (dpeaa)DE-He213 Baseline profile (dpeaa)DE-He213 Afoakwah, Clifford aut Scuffham, Paul aut Byrnes, Joshua aut Enthalten in BMC cardiovascular disorders London : BioMed Central, 2001 22(2022), 1 vom: 05. Feb. (DE-627)335488870 (DE-600)2059859-2 1471-2261 nnns volume:22 year:2022 number:1 day:05 month:02 https://dx.doi.org/10.1186/s12872-022-02478-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 05 02
spelling	10.1186/s12872-022-02478-z doi (DE-627)SPR050463926 (SPR)s12872-022-02478-z-e DE-627 ger DE-627 rakwb eng Nghiem, Son verfasserin (orcid)0000-0002-2451-5290 aut A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Cardiovascular disease (CVD) is one of the leading causes of death in Australia. Longitudinal record linkage studies have the potency to influence clinical decision making to improve cardiac health. This paper describes the baseline characteristics of the Queensland Cardiac Record Linkage Cohort study (QCard). Methods International Classification of Disease, 10th Revision Australian Modification (ICD-10-AM) diagnosis codes were used to identify CVD and comorbidities. Cost and adverse health outcomes (e.g., comorbidities, hospital-acquired complications) were compared between first-time and recurrent admissions. Descriptive statistics and standard tests were used to analyse the baseline data. Results There were 132,343 patients with hospitalisations in 2010, of which 47% were recurrent admissions, and 53% were males. There were systematic differences between characteristics of recurrent and first-time hospitalisations. Patients with recurrent episodes were nine years older (70 vs. 61; p < 0.001) and experienced a twice higher risk of multiple comorbidities (3.17 vs. 1.59; p < 0.001). CVD index hospitalisations were concentrated in large metropolitan hospitals. Conclusions Our study demonstrates that linked administrative health data provide an effective tool to investigate factors determining the progress of heart disease. Our main finding suggests that recurrent admissions were associated with higher hospital costs and a higher risk of having adverse outcomes. Cardiovascular diseases (dpeaa)DE-He213 Record linkage cohort study (dpeaa)DE-He213 Queensland (dpeaa)DE-He213 Australia (dpeaa)DE-He213 Baseline profile (dpeaa)DE-He213 Afoakwah, Clifford aut Scuffham, Paul aut Byrnes, Joshua aut Enthalten in BMC cardiovascular disorders London : BioMed Central, 2001 22(2022), 1 vom: 05. Feb. (DE-627)335488870 (DE-600)2059859-2 1471-2261 nnns volume:22 year:2022 number:1 day:05 month:02 https://dx.doi.org/10.1186/s12872-022-02478-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 05 02
allfields_unstemmed	10.1186/s12872-022-02478-z doi (DE-627)SPR050463926 (SPR)s12872-022-02478-z-e DE-627 ger DE-627 rakwb eng Nghiem, Son verfasserin (orcid)0000-0002-2451-5290 aut A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Cardiovascular disease (CVD) is one of the leading causes of death in Australia. Longitudinal record linkage studies have the potency to influence clinical decision making to improve cardiac health. This paper describes the baseline characteristics of the Queensland Cardiac Record Linkage Cohort study (QCard). Methods International Classification of Disease, 10th Revision Australian Modification (ICD-10-AM) diagnosis codes were used to identify CVD and comorbidities. Cost and adverse health outcomes (e.g., comorbidities, hospital-acquired complications) were compared between first-time and recurrent admissions. Descriptive statistics and standard tests were used to analyse the baseline data. Results There were 132,343 patients with hospitalisations in 2010, of which 47% were recurrent admissions, and 53% were males. There were systematic differences between characteristics of recurrent and first-time hospitalisations. Patients with recurrent episodes were nine years older (70 vs. 61; p < 0.001) and experienced a twice higher risk of multiple comorbidities (3.17 vs. 1.59; p < 0.001). CVD index hospitalisations were concentrated in large metropolitan hospitals. Conclusions Our study demonstrates that linked administrative health data provide an effective tool to investigate factors determining the progress of heart disease. Our main finding suggests that recurrent admissions were associated with higher hospital costs and a higher risk of having adverse outcomes. Cardiovascular diseases (dpeaa)DE-He213 Record linkage cohort study (dpeaa)DE-He213 Queensland (dpeaa)DE-He213 Australia (dpeaa)DE-He213 Baseline profile (dpeaa)DE-He213 Afoakwah, Clifford aut Scuffham, Paul aut Byrnes, Joshua aut Enthalten in BMC cardiovascular disorders London : BioMed Central, 2001 22(2022), 1 vom: 05. Feb. (DE-627)335488870 (DE-600)2059859-2 1471-2261 nnns volume:22 year:2022 number:1 day:05 month:02 https://dx.doi.org/10.1186/s12872-022-02478-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 05 02
allfieldsGer	10.1186/s12872-022-02478-z doi (DE-627)SPR050463926 (SPR)s12872-022-02478-z-e DE-627 ger DE-627 rakwb eng Nghiem, Son verfasserin (orcid)0000-0002-2451-5290 aut A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Cardiovascular disease (CVD) is one of the leading causes of death in Australia. Longitudinal record linkage studies have the potency to influence clinical decision making to improve cardiac health. This paper describes the baseline characteristics of the Queensland Cardiac Record Linkage Cohort study (QCard). Methods International Classification of Disease, 10th Revision Australian Modification (ICD-10-AM) diagnosis codes were used to identify CVD and comorbidities. Cost and adverse health outcomes (e.g., comorbidities, hospital-acquired complications) were compared between first-time and recurrent admissions. Descriptive statistics and standard tests were used to analyse the baseline data. Results There were 132,343 patients with hospitalisations in 2010, of which 47% were recurrent admissions, and 53% were males. There were systematic differences between characteristics of recurrent and first-time hospitalisations. Patients with recurrent episodes were nine years older (70 vs. 61; p < 0.001) and experienced a twice higher risk of multiple comorbidities (3.17 vs. 1.59; p < 0.001). CVD index hospitalisations were concentrated in large metropolitan hospitals. Conclusions Our study demonstrates that linked administrative health data provide an effective tool to investigate factors determining the progress of heart disease. Our main finding suggests that recurrent admissions were associated with higher hospital costs and a higher risk of having adverse outcomes. Cardiovascular diseases (dpeaa)DE-He213 Record linkage cohort study (dpeaa)DE-He213 Queensland (dpeaa)DE-He213 Australia (dpeaa)DE-He213 Baseline profile (dpeaa)DE-He213 Afoakwah, Clifford aut Scuffham, Paul aut Byrnes, Joshua aut Enthalten in BMC cardiovascular disorders London : BioMed Central, 2001 22(2022), 1 vom: 05. Feb. (DE-627)335488870 (DE-600)2059859-2 1471-2261 nnns volume:22 year:2022 number:1 day:05 month:02 https://dx.doi.org/10.1186/s12872-022-02478-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 05 02
allfieldsSound	10.1186/s12872-022-02478-z doi (DE-627)SPR050463926 (SPR)s12872-022-02478-z-e DE-627 ger DE-627 rakwb eng Nghiem, Son verfasserin (orcid)0000-0002-2451-5290 aut A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Cardiovascular disease (CVD) is one of the leading causes of death in Australia. Longitudinal record linkage studies have the potency to influence clinical decision making to improve cardiac health. This paper describes the baseline characteristics of the Queensland Cardiac Record Linkage Cohort study (QCard). Methods International Classification of Disease, 10th Revision Australian Modification (ICD-10-AM) diagnosis codes were used to identify CVD and comorbidities. Cost and adverse health outcomes (e.g., comorbidities, hospital-acquired complications) were compared between first-time and recurrent admissions. Descriptive statistics and standard tests were used to analyse the baseline data. Results There were 132,343 patients with hospitalisations in 2010, of which 47% were recurrent admissions, and 53% were males. There were systematic differences between characteristics of recurrent and first-time hospitalisations. Patients with recurrent episodes were nine years older (70 vs. 61; p < 0.001) and experienced a twice higher risk of multiple comorbidities (3.17 vs. 1.59; p < 0.001). CVD index hospitalisations were concentrated in large metropolitan hospitals. Conclusions Our study demonstrates that linked administrative health data provide an effective tool to investigate factors determining the progress of heart disease. Our main finding suggests that recurrent admissions were associated with higher hospital costs and a higher risk of having adverse outcomes. Cardiovascular diseases (dpeaa)DE-He213 Record linkage cohort study (dpeaa)DE-He213 Queensland (dpeaa)DE-He213 Australia (dpeaa)DE-He213 Baseline profile (dpeaa)DE-He213 Afoakwah, Clifford aut Scuffham, Paul aut Byrnes, Joshua aut Enthalten in BMC cardiovascular disorders London : BioMed Central, 2001 22(2022), 1 vom: 05. Feb. (DE-627)335488870 (DE-600)2059859-2 1471-2261 nnns volume:22 year:2022 number:1 day:05 month:02 https://dx.doi.org/10.1186/s12872-022-02478-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 05 02
language	English
source	Enthalten in BMC cardiovascular disorders 22(2022), 1 vom: 05. Feb. volume:22 year:2022 number:1 day:05 month:02
sourceStr	Enthalten in BMC cardiovascular disorders 22(2022), 1 vom: 05. Feb. volume:22 year:2022 number:1 day:05 month:02
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topic_facet	Cardiovascular diseases Record linkage cohort study Queensland Australia Baseline profile
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container_title	BMC cardiovascular disorders
authorswithroles_txt_mv	Nghiem, Son @@aut@@ Afoakwah, Clifford @@aut@@ Scuffham, Paul @@aut@@ Byrnes, Joshua @@aut@@
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Longitudinal record linkage studies have the potency to influence clinical decision making to improve cardiac health. This paper describes the baseline characteristics of the Queensland Cardiac Record Linkage Cohort study (QCard). Methods International Classification of Disease, 10th Revision Australian Modification (ICD-10-AM) diagnosis codes were used to identify CVD and comorbidities. Cost and adverse health outcomes (e.g., comorbidities, hospital-acquired complications) were compared between first-time and recurrent admissions. Descriptive statistics and standard tests were used to analyse the baseline data. Results There were 132,343 patients with hospitalisations in 2010, of which 47% were recurrent admissions, and 53% were males. There were systematic differences between characteristics of recurrent and first-time hospitalisations. Patients with recurrent episodes were nine years older (70 vs. 61; p < 0.001) and experienced a twice higher risk of multiple comorbidities (3.17 vs. 1.59; p < 0.001). CVD index hospitalisations were concentrated in large metropolitan hospitals. Conclusions Our study demonstrates that linked administrative health data provide an effective tool to investigate factors determining the progress of heart disease. 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author	Nghiem, Son
spellingShingle	Nghiem, Son misc Cardiovascular diseases misc Record linkage cohort study misc Queensland misc Australia misc Baseline profile A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study
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topic_title	A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study Cardiovascular diseases (dpeaa)DE-He213 Record linkage cohort study (dpeaa)DE-He213 Queensland (dpeaa)DE-He213 Australia (dpeaa)DE-He213 Baseline profile (dpeaa)DE-He213
topic	misc Cardiovascular diseases misc Record linkage cohort study misc Queensland misc Australia misc Baseline profile
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title	A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study
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title_full	A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study
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title_sort	baseline profile of the queensland cardiac record linkage cohort (qcard) study
title_auth	A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study
abstract	Background Cardiovascular disease (CVD) is one of the leading causes of death in Australia. Longitudinal record linkage studies have the potency to influence clinical decision making to improve cardiac health. This paper describes the baseline characteristics of the Queensland Cardiac Record Linkage Cohort study (QCard). Methods International Classification of Disease, 10th Revision Australian Modification (ICD-10-AM) diagnosis codes were used to identify CVD and comorbidities. Cost and adverse health outcomes (e.g., comorbidities, hospital-acquired complications) were compared between first-time and recurrent admissions. Descriptive statistics and standard tests were used to analyse the baseline data. Results There were 132,343 patients with hospitalisations in 2010, of which 47% were recurrent admissions, and 53% were males. There were systematic differences between characteristics of recurrent and first-time hospitalisations. Patients with recurrent episodes were nine years older (70 vs. 61; p < 0.001) and experienced a twice higher risk of multiple comorbidities (3.17 vs. 1.59; p < 0.001). CVD index hospitalisations were concentrated in large metropolitan hospitals. Conclusions Our study demonstrates that linked administrative health data provide an effective tool to investigate factors determining the progress of heart disease. Our main finding suggests that recurrent admissions were associated with higher hospital costs and a higher risk of having adverse outcomes. © The Author(s) 2022
abstractGer	Background Cardiovascular disease (CVD) is one of the leading causes of death in Australia. Longitudinal record linkage studies have the potency to influence clinical decision making to improve cardiac health. This paper describes the baseline characteristics of the Queensland Cardiac Record Linkage Cohort study (QCard). Methods International Classification of Disease, 10th Revision Australian Modification (ICD-10-AM) diagnosis codes were used to identify CVD and comorbidities. Cost and adverse health outcomes (e.g., comorbidities, hospital-acquired complications) were compared between first-time and recurrent admissions. Descriptive statistics and standard tests were used to analyse the baseline data. Results There were 132,343 patients with hospitalisations in 2010, of which 47% were recurrent admissions, and 53% were males. There were systematic differences between characteristics of recurrent and first-time hospitalisations. Patients with recurrent episodes were nine years older (70 vs. 61; p < 0.001) and experienced a twice higher risk of multiple comorbidities (3.17 vs. 1.59; p < 0.001). CVD index hospitalisations were concentrated in large metropolitan hospitals. Conclusions Our study demonstrates that linked administrative health data provide an effective tool to investigate factors determining the progress of heart disease. Our main finding suggests that recurrent admissions were associated with higher hospital costs and a higher risk of having adverse outcomes. © The Author(s) 2022
abstract_unstemmed	Background Cardiovascular disease (CVD) is one of the leading causes of death in Australia. Longitudinal record linkage studies have the potency to influence clinical decision making to improve cardiac health. This paper describes the baseline characteristics of the Queensland Cardiac Record Linkage Cohort study (QCard). Methods International Classification of Disease, 10th Revision Australian Modification (ICD-10-AM) diagnosis codes were used to identify CVD and comorbidities. Cost and adverse health outcomes (e.g., comorbidities, hospital-acquired complications) were compared between first-time and recurrent admissions. Descriptive statistics and standard tests were used to analyse the baseline data. Results There were 132,343 patients with hospitalisations in 2010, of which 47% were recurrent admissions, and 53% were males. There were systematic differences between characteristics of recurrent and first-time hospitalisations. Patients with recurrent episodes were nine years older (70 vs. 61; p < 0.001) and experienced a twice higher risk of multiple comorbidities (3.17 vs. 1.59; p < 0.001). CVD index hospitalisations were concentrated in large metropolitan hospitals. Conclusions Our study demonstrates that linked administrative health data provide an effective tool to investigate factors determining the progress of heart disease. Our main finding suggests that recurrent admissions were associated with higher hospital costs and a higher risk of having adverse outcomes. © The Author(s) 2022
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title_short	A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study
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Patients with recurrent episodes were nine years older (70 vs. 61; p < 0.001) and experienced a twice higher risk of multiple comorbidities (3.17 vs. 1.59; p < 0.001). CVD index hospitalisations were concentrated in large metropolitan hospitals. Conclusions Our study demonstrates that linked administrative health data provide an effective tool to investigate factors determining the progress of heart disease. 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score	7.401457

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A baseline profile of the Queensland Cardiac Record Linkage Cohort (QCard) study

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