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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00008736naa a2200625 4500
001oai:DiVA.org:oru-107069
003SwePub
008230711s2023 | |||||||||||000 ||eng|
009oai:prod.swepub.kib.ki.se:153597863
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-1070692 URI
0247 a https://doi.org/10.1016/j.eclinm.2023.1020632 DOI
0247 a http://kipublications.ki.se/Default.aspx?queryparsed=id:1535978632 URI
040 a (SwePub)orud (SwePub)ki
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Shen, Qingu Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China; Institute for Advanced Study, Tongji University, Shanghai, China; Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden4 aut
2451 0a Psychiatric disorders and subsequent risk of cardiovascular disease :b a longitudinal matched cohort study across three countries
264 1b Elsevier,c 2023
338 a print2 rdacarrier
500 a Funding agencies:European Research Council Consolidator grant 726413Icelandic Research fundUS NIMH R01 MH123724Outstanding Clinical Discipline Project of Shanghai Pudong PWYgy2021-02Fundamental Research Funds for the Central UniversitiesSouth-East Regional Health Authority 2017-112 2022-073 Stiftelsen Kristian Gerhard Jebsen SKGJ-MED-008 SKGJ-MED-021 EEA-RO-NO-2018-0535
520 a BACKGROUND: Several psychiatric disorders have been associated with increased risk of cardiovascular disease (CVD), however, the role of familial factors and the main disease trajectories remain unknown.METHODS: In this longitudinal cohort study, we identified a cohort of 900,240 patients newly diagnosed with psychiatric disorders during January 1, 1987 and December 31, 2016, their 1,002,888 unaffected full siblings, and 1:10 age- and sex-matched reference population from nationwide medical records in Sweden, who had no prior diagnosis of CVD at enrolment. We used flexible parametric models to determine the time-varying association between first-onset psychiatric disorders and incident CVD and CVD death, comparing rates of CVD among patients with psychiatric disorders to the rates of unaffected siblings and matched reference population. We also used disease trajectory analysis to identify main disease trajectories linking psychiatric disorders to CVD. Identified associations and disease trajectories of the Swedish cohort were validated in a similar cohort from nationwide medical records in Denmark (N = 875,634 patients, same criteria during January 1, 1969 and December 31, 2016) and in Estonian cohorts from the Estonian Biobank (N = 30,656 patients, same criteria during January 1, 2006 and December 31, 2020), respectively.FINDINGS: During up to 30 years of follow-up of the Swedish cohort, the crude incidence rate of CVD was 9.7, 7.4 and 7.0 per 1000 person-years among patients with psychiatric disorders, their unaffected siblings, and the matched reference population. Compared with their siblings, patients with psychiatric disorders experienced higher rates of CVD during the first year after diagnosis (hazard ratio [HR], 1.88; 95% confidence interval [CI], 1.79-1.98) and thereafter (1.37; 95% CI, 1.34-1.39). Similar rate increases were noted when comparing with the matched reference population. These results were replicated in the Danish cohort. We identified several disease trajectories linking psychiatric disorders to CVD in the Swedish cohort, with or without mediating medical conditions, including a direct link between psychiatric disorders and hypertensive disorder, ischemic heart disease, venous thromboembolism, angina pectoris, and stroke. These trajectories were validated in the Estonian Biobank cohort.INTERPRETATION: Independent of familial factors, patients with psychiatric disorders are at an elevated risk of subsequent CVD, particularly during first year after diagnosis. Increased surveillance and treatment of CVDs and CVD risk factors should be considered as an integral part of clinical management, in order to reduce risk of CVD among patients with psychiatric disorders.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Psykiatri0 (SwePub)302152 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Psychiatry0 (SwePub)302152 hsv//eng
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Kardiologi0 (SwePub)302062 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cardiac and Cardiovascular Systems0 (SwePub)302062 hsv//eng
653 a Cardiovascular disease
653 a Disease trajectory
653 a Family design
653 a Psychiatric disorders
653 a Sibling
7001 a Mikkelsen, Dorte Heleniusu Institute of Biological Psychiatry, Mental Health Services Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark4 aut
7001 a Luitva, Laura Birgitu Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia4 aut
7001 a Song, Huanu Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China; Medical Big Data Center, Sichuan University, Chengdu, China4 aut
7001 a Kasela, Silvau Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia4 aut
7001 a Aspelund, Thoru Centre of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland4 aut
7001 a Bergstedt, Jacobu Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden4 aut
7001 a Lu, Yiu Karolinska Institutet4 aut
7001 a Sullivan, Patrick F.u Karolinska Institutet4 aut
7001 a Ye, Weiminu Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden4 aut
7001 a Fall, Katja,d 1971-u Örebro universitet,Institutionen för medicinska vetenskaper,Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, Sweden4 aut0 (Swepub:oru)kafl
7001 a Tornvall, Peru Karolinska Institutet4 aut
7001 a Pawitan, Yudiu Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden4 aut
7001 a Andreassen, Ole A.u NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway4 aut
7001 a Buil, Alfonsou iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark; Mental Health Center Sct. Hans, Mental Health Services, Capital Region Denmark, Roskilde, Denmark4 aut
7001 a Milani, Liliu Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia4 aut
7001 a Fang, Fangu Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden4 aut
7001 a Valdimarsdóttir, Unnuru Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States4 aut
7102 a Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China; Institute for Advanced Study, Tongji University, Shanghai, China; Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Swedenb Institute of Biological Psychiatry, Mental Health Services Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark4 org
7730 t eClinicalMedicined : Elsevierg 61q 61x 2589-5370
8564 u https://doi.org/10.1016/j.eclinm.2023.102063y Fulltext
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-107069
8564 8u https://doi.org/10.1016/j.eclinm.2023.102063
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:153597863

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