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Morseth B, Geelhoed B, Linneberg A, Johansson L, Kuulasmaa K, Salomaa V, Iacoviello L, Costanzo S, Söderberg S, Niiranen TJ, Vishram-Nielsen JKK, Njølstad I, Wilsgaard T, Mathiesen EB, Løchen ML, Zeller T, Blankenberg S, Ojeda FM, Schnabel RB. Age-specific atrial fibrillation incidence, attributable risk factors and risk of stroke and mortality: results from the MORGAM Consortium. Open Heart 2021; 8:openhrt-2021-001624. [PMID: 34341095 PMCID: PMC8330568 DOI: 10.1136/openhrt-2021-001624] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Accepted: 07/13/2021] [Indexed: 12/01/2022] Open
Abstract
Background The main aim was to examine age-specific risk factor associations with incident atrial fibrillation (AF) and their attributable fraction in a large European cohort. Additionally, we aimed to examine risk of stroke and mortality in relation to new-onset AF across age. Methods We used individual-level data (n=66 951, 49.1% men, age range 40–98 years at baseline) from five European cohorts of the MOnica Risk, Genetics, Archiving and Monograph Consortium. The participants were followed for incident AF for up to 10 years and the association with modifiable risk factors from the baseline examinations (body mass index (BMI), hypertension, diabetes, daily smoking, alcohol consumption and history of stroke and myocardial infarction (MI)) was examined. Additionally, the participants were followed up for incident stroke and all-cause mortality after new-onset AF. Results AF incidence increased from 0.9 per 1000 person-years at baseline age 40–49 years, to 17.7 at baseline age ≥70 years. Multivariable-adjusted Cox models showed that higher BMI, hypertension, high alcohol consumption and a history of stroke or MI were associated with increased risk of AF across age groups (p<0.05). Between 30% and 40% of the AF risk could be attributed to BMI, hypertension and a history of stroke or MI. New-onset AF was associated with a twofold increase in risk of stroke and death at ages≥70 years (p≤0.001). Conclusion In this large European cohort aged 40 years and above, risk of AF was largely attributed to BMI, high alcohol consumption and a history MI or stroke from middle age. Thus, preventive measures for AF should target risk factors such as obesity and hypertension from early age and continue throughout life.
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Affiliation(s)
- Bente Morseth
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Bastiaan Geelhoed
- Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg University Hospital, Copenhagen, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Lars Johansson
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Kari Kuulasmaa
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Veikko Salomaa
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Licia Iacoviello
- Research Center in Epidemiology and Preventive Medicine (EPIMED), University of Insubria, Varese, Italy.,Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli (IS), Italy
| | - Simona Costanzo
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli (IS), Italy
| | - Stefan Söderberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Teemu J Niiranen
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland.,Department of Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Julie K K Vishram-Nielsen
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg University Hospital, Copenhagen, Denmark.,Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Inger Njølstad
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Tom Wilsgaard
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Ellisiv B Mathiesen
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway.,Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - Maja-Lisa Løchen
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Tanja Zeller
- Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany.,German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Stefan Blankenberg
- Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany.,German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Francisco M Ojeda
- Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany
| | - Renate B Schnabel
- Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany.,German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Hamburg, Germany
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Abstract
OBJECTIVE Our objective was to construct a prospective high-quality and high-frequency database combining patient therapeutics and clinical variables in real time, automatically fed by the information system and network architecture available through fully electronic charting in our PICU. The purpose of this article is to describe the data acquisition process from bedside to the research electronic database. DESIGN Descriptive report and analysis of a prospective database. SETTING A 24-bed PICU, medical ICU, surgical ICU, and cardiac ICU in a tertiary care free-standing maternal child health center in Canada. PATIENTS All patients less than 18 years old were included at admission to the PICU. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Between May 21, 2015, and December 31, 2016, 1,386 consecutive PICU stays from 1,194 patients were recorded in the database. Data were prospectively collected from admission to discharge, every 5 seconds from monitors and every 30 seconds from mechanical ventilators and infusion pumps. These data were linked to the patient's electronic medical record. The database total volume was 241 GB. The patients' median age was 2.0 years (interquartile range, 0.0-9.0). Data were available for all mechanically ventilated patients (n = 511; recorded duration, 77,678 hr), and respiratory failure was the most frequent reason for admission (n = 360). The complete pharmacologic profile was synched to database for all PICU stays. Following this implementation, a validation phase is in process and several research projects are ongoing using this high-fidelity database. CONCLUSIONS Using the existing bedside information system and network architecture of our PICU, we implemented an ongoing high-fidelity prospectively collected electronic database, preventing the continuous loss of scientific information. This offers the opportunity to develop research on clinical decision support systems and computational models of cardiorespiratory physiology for example.
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Gianfagna F, Veronesi G, Bertù L, Tozzi M, Tarallo A, Ferrario MM, Castelli P. Prevalence of abdominal aortic aneurysms and its relation with cardiovascular risk stratification: protocol of the Risk of Cardiovascular diseases and abdominal aortic Aneurysm in Varese (RoCAV) population based study. BMC Cardiovasc Disord 2016; 16:243. [PMID: 27894269 PMCID: PMC5127056 DOI: 10.1186/s12872-016-0420-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Accepted: 11/22/2016] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Recent meta-analyses suggested that screening program for abdominal aortic aneurysms (AAA) in 65-year old males is cost-effective at prevalence of about 1%. Since some events occur also in females and among the youngers, screening could be feasible among those at higher risk, such as smokers or individuals with a family history of AAA. The RoCAV (Risk of Cardiovascular diseases and abdominal aortic Aneurysms in Varese) Project is a population-based study aimed to evaluate AAA prevalence in Northern Italy in males over-65 years as well as among females and younger males, and to identify new markers for risk stratification by collecting a large set of CVD risk factors. The aims of the project are: (i) cross-sectional evaluation of AAA prevalence (ii); evaluation of standard CVD risk score as criteria for selecting subgroup at higher risk to be included in a screening program; (iii) identification of new risk markers and risk score algorithm for AAA and CVD risk stratification; (iv) cost-effective evaluation during the follow-up. METHODS Males aged 50-75 years and females aged 60-75 years, resident in the city of Varese (Lombardy Region), were randomly selected from the civil registry. Among 5198 successfully invited, 3777 subjects accepted to participate and were finally recruited (participation rate 63.8%) from June 2013 to May 2016. Trained operators administered a computerized anamnestic questionnaire, measured anthropometric parameters (BMI, body circumferences, skinfolds), blood pressure, ankle-brachial index, pulse wave velocity and performed abdominal aortic ultrasound scan, ECG and spirometry. All methods were internationally validated. A blood sample was collected and stored in biobank. A follow-up will be carried out through linkage with electronic records. DISCUSSION Participation rate and data quality assessment were as expected and will reasonably allow to reach the project aims. The expected impact in public health of the RoCAV project will be the potential implementation of a AAA screening program to the whole region as well as the formulation of new criteria for risk assessment of AAA and CVD.
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Affiliation(s)
- F Gianfagna
- EPIMED Research Center, University of Insubria, via Rossi 9, Varese, 21100, Italy.,Department of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo Neuromed, via Atinense 18, Pozzilli, 86077, Italy
| | - G Veronesi
- EPIMED Research Center, University of Insubria, via Rossi 9, Varese, 21100, Italy
| | - L Bertù
- EPIMED Research Center, University of Insubria, via Rossi 9, Varese, 21100, Italy
| | - M Tozzi
- Vascular Surgery, Varese Hospital - ASST dei Sette Laghi, viale L Borri 57, Varese, 2100, Italy.,Department of Surgery and Morphological Sciences, University of Insubria, Via Guicciardini 9, Varese, 21100, Italy
| | - A Tarallo
- Vascular Surgery, Varese Hospital - ASST dei Sette Laghi, viale L Borri 57, Varese, 2100, Italy
| | - M M Ferrario
- EPIMED Research Center, University of Insubria, via Rossi 9, Varese, 21100, Italy. .,Occupational, Preventive Medicine and Toxicology, Varese Hospital - ASST dei Sette Laghi, viale L Borri 57, Varese, 21100, Italy.
| | - P Castelli
- Vascular Surgery, Varese Hospital - ASST dei Sette Laghi, viale L Borri 57, Varese, 2100, Italy.,Department of Surgery and Morphological Sciences, University of Insubria, Via Guicciardini 9, Varese, 21100, Italy
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Auricchio A, Lumens J, Prinzen FW. Does Cardiac Resynchronization Therapy Benefit Patients With Right Bundle Branch Block. Circ Arrhythm Electrophysiol 2014; 7:532-42. [DOI: 10.1161/circep.113.000628] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Angelo Auricchio
- From the Division of Cardiology, Fondazione Cardiocentro Ticino, Lugano, Switzerland (A.A.); Department of Biomedical Engineering, Maastricht University, Maastricht, The Netherlands (J.L.); and Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands (F.W.P.)
| | - Joost Lumens
- From the Division of Cardiology, Fondazione Cardiocentro Ticino, Lugano, Switzerland (A.A.); Department of Biomedical Engineering, Maastricht University, Maastricht, The Netherlands (J.L.); and Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands (F.W.P.)
| | - Frits W. Prinzen
- From the Division of Cardiology, Fondazione Cardiocentro Ticino, Lugano, Switzerland (A.A.); Department of Biomedical Engineering, Maastricht University, Maastricht, The Netherlands (J.L.); and Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands (F.W.P.)
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