PMID- 37767960 OWN - NLM STAT- MEDLINE DCOM- 20240126 LR - 20240206 IS - 2047-4881 (Electronic) IS - 2047-4873 (Linking) VI - 31 IP - 2 DP - 2024 Jan 25 TI - Development and validation of cardiovascular risk prediction equations in 76 000 people with known cardiovascular disease. PG - 218-227 LID - 10.1093/eurjpc/zwad314 [doi] AB - AIMS: Multiple health administrative databases can be individually linked in Aotearoa New Zealand, using encrypted identifiers. These databases were used to develop cardiovascular risk prediction equations for patients with known cardiovascular disease (CVD). METHODS AND RESULTS: Administrative health databases were linked to identify all people aged 18-84 years with known CVD, living in Auckland and Northland, Aotearoa New Zealand, on 1 January 2014. The cohort was followed until study outcome, death, or 5 years. The study outcome was death or hospitalization due to ischaemic heart disease, stroke, heart failure, or peripheral vascular disease. Sex-specific 5-year CVD risk prediction equations were developed using multivariable Fine and Gray models. A total of 43 862 men median age: 67 years [interquartile range (IQR): 59-75] and 32 724 women [median age: 70 years (IQR: 60-77)] had 14 252 and 9551 cardiovascular events, respectively. Equations were well calibrated with good discrimination. Increasing age and deprivation, recent cardiovascular hospitalization, Mori ethnicity, smoking history, heart failure, diabetes, chronic renal disease, atrial fibrillation, use of blood pressure lowering and anti-thrombotic drugs, haemoglobin A1c, total cholesterol/HDL cholesterol, and creatinine were statistically significant independent predictors of the study outcome. Fourteen per cent of men and 23% of women had predicted 5-year cardiovascular risk <15%, while 28 and 24% had >/=40% risk. CONCLUSION: Robust cardiovascular risk prediction equations were developed from linked routine health databases, a currently underutilized resource worldwide. The marked heterogeneity demonstrated in predicted risk suggests that preventive therapy in people with known CVD would be better informed by risk stratification beyond a one-size-fits-all high-risk categorization. CI - (c) The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. FAU - Holt, Anders AU - Holt A AUID- ORCID: 0000-0002-8196-2599 AD - Section of Epidemiology and Biostatistics, School of Population Health, University of Auckland, 85 Park Road, Grafton, Auckland 1142, New Zealand. AD - Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Gentofte Hospitalsvej 6, Hellerup DK-2900, Denmark. FAU - Batinica, Bruno AU - Batinica B AD - Section of Epidemiology and Biostatistics, School of Population Health, University of Auckland, 85 Park Road, Grafton, Auckland 1142, New Zealand. FAU - Liang, Jingyuan AU - Liang J AD - Section of Epidemiology and Biostatistics, School of Population Health, University of Auckland, 85 Park Road, Grafton, Auckland 1142, New Zealand. FAU - Kerr, Andrew AU - Kerr A AD - Section of Epidemiology and Biostatistics, School of Population Health, University of Auckland, 85 Park Road, Grafton, Auckland 1142, New Zealand. AD - Department of Medicine, School of Medicine, University of Auckland, 85 Park Road, Grafton, Auckland 1142, New Zealand. AD - Department of Cardiology, Middlemore Hospital, 100 Hospital Road, Otahuhu, Auckland 2025, New Zealand. FAU - Crengle, Sue AU - Crengle S AD - Ngi Tahu Mori Health Research Unit, Division of Health Sciences, University of Otago, 362 Leith Street, Dunedin 9016, New Zealand. FAU - Hudson, Ben AU - Hudson B AD - Department of Primary Care and Clinical Simulation, University of Otago, 2 Riccarton Avenue, Christchurch 8140, New Zealand. FAU - Wells, Susan AU - Wells S AD - Department of General Practice and Primary Health Care, School of Population Health, University of Auckland, 85 Park Road, Grafton, Auckland 1142, New Zealand. FAU - Harwood, Matire AU - Harwood M AD - Department of General Practice and Primary Health Care, School of Population Health, University of Auckland, 85 Park Road, Grafton, Auckland 1142, New Zealand. FAU - Selak, Vanessa AU - Selak V AD - Section of Epidemiology and Biostatistics, School of Population Health, University of Auckland, 85 Park Road, Grafton, Auckland 1142, New Zealand. FAU - Mehta, Suneela AU - Mehta S AD - Section of Epidemiology and Biostatistics, School of Population Health, University of Auckland, 85 Park Road, Grafton, Auckland 1142, New Zealand. FAU - Grey, Corina AU - Grey C AD - Section of Epidemiology and Biostatistics, School of Population Health, University of Auckland, 85 Park Road, Grafton, Auckland 1142, New Zealand. FAU - Lamberts, Morten AU - Lamberts M AUID- ORCID: 0000-0002-9827-440X AD - Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Gentofte Hospitalsvej 6, Hellerup DK-2900, Denmark. FAU - Jackson, Rod AU - Jackson R AD - Section of Epidemiology and Biostatistics, School of Population Health, University of Auckland, 85 Park Road, Grafton, Auckland 1142, New Zealand. FAU - Poppe, Katrina K AU - Poppe KK AD - Department of Medicine, School of Medicine, University of Auckland, 85 Park Road, Grafton, Auckland 1142, New Zealand. LA - eng GR - 30206-383/Ib Mogens Kristiansens Almene Fond/ GR - 20-B-0035/Helsefonden/ GR - 167/1/Snedkermester Sophus Jacobsen og hustru Astrid Jacobsen Fond/ GR - 2020-0379/Marie og M.B. Richters Fond/ GR - Dagmar Marshalls Fond/ GR - 20-02-1523/Knud Hojgaards Fond/ GR - 20-JU-0079/Reinholdt W. Jorck og Hustrus Fond/ GR - Familien Hede Nielsens Fond/ GR - Danske Laegers Forsikringsforening/ GR - Kontorchef Gerhard Brondsteds Rejselegat/ GR - Lily Benthine Lunds Fond/ GR - Ketty og Ejvind Lyngsbaeks Fond/ GR - Carl og Ellen Hertz' Videnskabslegat/ GR - 100976-5/Ulla og Mogens Folmer Andersens Almennyttige Fond/ GR - 1788992643/Torben og Alice Frimodts Fond/ GR - New Zealand Heart Foundation Heart Health Research Trust/ GR - China Scholarship Council/ GR - Auckland Medical Research Foundation/ GR - NZ Health Research Council/ GR - National Heart Foundation of NZ and National Science Challenge/ GR - NZ Health Research Council/ GR - National Science Challenge/ PT - Journal Article PL - England TA - Eur J Prev Cardiol JT - European journal of preventive cardiology JID - 101564430 SB - IM CIN - Eur J Prev Cardiol. 2023 Oct 26;:. PMID: 37883698 CIN - Eur J Prev Cardiol. 2023 Oct 26;:. PMID: 37883702 MH - Male MH - Humans MH - Female MH - Aged MH - *Cardiovascular Diseases/diagnosis/epidemiology/prevention & control MH - Risk Factors MH - Risk Assessment/methods MH - Heart Disease Risk Factors MH - *Heart Failure/diagnosis/epidemiology OAB - Using regionwide New Zealand health databases, methods of predicting hospitalization risk in patients with existing heart disease were developed. Using only data from health databases, it was possible to predict the risk accurately.Among patients with existing heart disease, the predicted risk varied markedly which could help improve preventive strategies. OABL- eng OTO - NOTNLM OT - Epidemiology OT - Risk prediction OT - Secondary prevention COIS- Conflict of interest: S.C. reports board meeting fees from Te Aka Whai Ora and WellSouth Primary Heath Network. M.L. reports speaker fees from Bayer, BMS, and Astra Zeneca. All other authors report no disclosures. EDAT- 2023/09/28 12:43 MHDA- 2024/01/26 06:44 CRDT- 2023/09/28 07:52 PHST- 2023/08/11 00:00 [received] PHST- 2023/09/11 00:00 [revised] PHST- 2023/09/21 00:00 [accepted] PHST- 2024/01/26 06:44 [medline] PHST- 2023/09/28 12:43 [pubmed] PHST- 2023/09/28 07:52 [entrez] AID - 7285005 [pii] AID - 10.1093/eurjpc/zwad314 [doi] PST - ppublish SO - Eur J Prev Cardiol. 2024 Jan 25;31(2):218-227. doi: 10.1093/eurjpc/zwad314.