Initiation of antidepressants in young adults after ischemic stroke: a registry-based follow-up study.
Antidepressants
Brain infarction
Stroke
Young adult
Journal
Journal of neurology
ISSN: 1432-1459
Titre abrégé: J Neurol
Pays: Germany
ID NLM: 0423161
Informations de publication
Date de publication:
Feb 2022
Feb 2022
Historique:
received:
06
03
2021
accepted:
18
06
2021
revised:
16
06
2021
pubmed:
25
6
2021
medline:
27
1
2022
entrez:
24
6
2021
Statut:
ppublish
Résumé
Data on post-stroke use of antidepressants in young individuals are scarce. We examined pattern and factors associated with initiating post-stroke antidepressants (PSAD) after ischemic stroke (IS) in young adults. Helsinki Young Stroke Registry includes patients aged 15-49 years with first-ever IS, 1994-2007. Data on prescriptions, hospitalizations and death came from nationwide registers. We defined time of initiating PSAD as time of the first filled prescription for antidepressants within 1 year from IS. We assessed factors associated with initiating PSAD with multivariable Cox regression models, allowing for time-varying effects when appropriate. We followed 888 patients, of which 206 (23.2%) initiated PSAD. Higher hazard of starting PSAD within the first 100 days appeared among patients with mild versus no limb paresis 2.53 (95% confidence interval 1.48-4.31) and during later follow-up among those with silent infarcts (2.04; 1.27-3.28), prior use of antidepressants (2.09; 1.26-3.46) and moderate versus mild stroke (2.06; 1.18-3.58). The relative difference in the hazard rate for moderate-severe limb paresis persisted both within the first 100 days (3.84, 2.12-6.97) and during later follow-up (4.54; 2.51-8.23). The hazard rate was higher throughout the follow-up among smokers (1.48; 1.11-1.97) as well as lower (1.78; 1.25-2.54) and upper white-collar workers (2.00; 1.24-3.23) compared to blue-collar workers. One-fourth of young adults started PSADs within 1 year from IS. We identified several specific clinical characteristics associated with PSAD initiation, highlighting their utility in assessing the risk of post-stroke depression during follow-up.
Identifiants
pubmed: 34165628
doi: 10.1007/s00415-021-10678-4
pii: 10.1007/s00415-021-10678-4
pmc: PMC8782780
doi:
Substances chimiques
Antidepressive Agents
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
956-965Informations de copyright
© 2021. The Author(s).
Références
Hackett ML, Yapa C, Parag V, Anderson CS (2005) Frequency of depression after stroke. Stroke 36:1330–1340. https://doi.org/10.1161/01.STR.0000165928.19135.35
doi: 10.1161/01.STR.0000165928.19135.35
pubmed: 15879342
Ayerbe L, Ayis S, Wolfe CDA, Rudd AG (2013) Natural history, predictors and outcomes of depression after stroke: systematic review and meta-analysis. Br J Psychiatry 202:14–21. https://doi.org/10.1192/bjp.bp.111.107664
doi: 10.1192/bjp.bp.111.107664
pubmed: 23284148
Towfighi A, Ovbiagele B, El Husseini N et al (2017) Poststroke depression: a scientific statement for healthcare professionals from the American heart association/american stroke association. Stroke. https://doi.org/10.1161/STR.0000000000000113
doi: 10.1161/STR.0000000000000113
pubmed: 27932603
Ayerbe L, Ayis S, Crichton S (2014) The long-term outcomes of depression up to 10 years after stroke; the south london stroke register. J Neurol Neurosurg Psychiatry. https://doi.org/10.1136/jnnp-2013-306448
doi: 10.1136/jnnp-2013-306448
pubmed: 24163430
Mitchell AJ, Sheth B, Gill J et al (2017) Prevalence and predictors of post-stroke mood disorders: a meta-analysis and meta-regression of depression, anxiety and adjustment disorder. Gen Hosp Psychiatry 47:48–60. https://doi.org/10.1016/j.genhosppsych.2017.04.001
doi: 10.1016/j.genhosppsych.2017.04.001
pubmed: 28807138
Jørgensen TSH, Wium-Andersen IK, Wium-Andersen MK et al (2016) Incidence of depression after stroke, and associated risk factors and mortality outcomes, in a large cohort of danish patients. JAMA Psychiat 73:1032–1040. https://doi.org/10.1001/jamapsychiatry.2016.1932
doi: 10.1001/jamapsychiatry.2016.1932
Waje-Andreassen U, Thomassen L, Jusufovic M et al (2013) Ischaemic stroke at a young age is a serious event—final results of a population-based long-term follow-up in Western Norway. Eur J Neurol 20:818–823. https://doi.org/10.1111/ene.12073
doi: 10.1111/ene.12073
pubmed: 23293975
Naess H, Nyland HI, Thomassen L et al (2005) Mild depression in young adults with cerebral infarction at long-term follow-up: a population-based study. Eur J Neurol 12:194–198. https://doi.org/10.1111/j.1468-1331.2004.00937.x
doi: 10.1111/j.1468-1331.2004.00937.x
pubmed: 15693808
Ayerbe L, Ayis S, Crichton SL et al (2014) Explanatory factors for the increased mortality of stroke patients with depression. Neurology 83:2007–2012. https://doi.org/10.1212/WNL.0000000000001029
doi: 10.1212/WNL.0000000000001029
pubmed: 25355829
pmcid: 4248453
Pan A, Sun Q, Okereke OI et al (2011) Depression and risk of stroke morbidity and mortality: a meta-analysis and systematic review. JAMA 306:1241–1249. https://doi.org/10.1001/jama.2011.1282
doi: 10.1001/jama.2011.1282
pubmed: 21934057
pmcid: 3242806
Chemerinski E, Robinson RG, Kosier JT (2001) Improved recovery in activities of daily living associated with remission of poststroke depression. Stroke 32:113–117. https://doi.org/10.1161/01.STR.32.1.113
doi: 10.1161/01.STR.32.1.113
pubmed: 11136924
Schmid AA, Kroenke K, Hendrie HC et al (2011) Poststroke depression and treatment effects on functional outcomes. Neurology 76:1000–1005. https://doi.org/10.1212/WNL.0b013e318210435e
doi: 10.1212/WNL.0b013e318210435e
pubmed: 21403112
pmcid: 3271576
House A, Knapp P, Bamford J, Vail A (2001) Mortality at 12 and 24 months after stroke may be associated with depressive symptoms at 1 month. Stroke 32:696–701. https://doi.org/10.1161/01.STR.32.3.696
doi: 10.1161/01.STR.32.3.696
pubmed: 11239189
Van De Weg FB, Kuik DJ, Lankhorst GJ (1999) Post-stroke depression and functional outcome: a cohort study investigating the influence of depression on functional recovery from stroke. Clin Rehabil 13:268–272. https://doi.org/10.1191/026921599672495022
doi: 10.1191/026921599672495022
pubmed: 10392654
Nannetti L, Paci M, Pasquini J et al (2009) Motor and functional recovery in patients with post-stroke depression motor and functional recovery in patients with post-stroke depression. Disabil Rehabil. https://doi.org/10.1080/09638280400009378
doi: 10.1080/09638280400009378
Naess H, Nyland H (2013) Poststroke fatigue and depression are related to mortality in young adults: a cohort study. BMJ Open. https://doi.org/10.1136/bmjopen-2012-002404
doi: 10.1136/bmjopen-2012-002404
pubmed: 23457330
pmcid: 3612756
Mortensen JK, Larsson H, Johnsen SP, Andersen G (2013) Post stroke use of selective serotonin reuptake inhibitors and clinical outcome among patients with ischemic stroke. Stroke 44:420–426. https://doi.org/10.1161/STROKEAHA.112.674242
doi: 10.1161/STROKEAHA.112.674242
pubmed: 23306326
Juang HT, Chen PC, Chien KL (2015) Using antidepressants and the risk of stroke recurrence: report from a national representative cohort study. BMC Neurol. https://doi.org/10.1186/s12883-015-0345-x
doi: 10.1186/s12883-015-0345-x
pubmed: 26045186
pmcid: 4455315
Dam H, Harhoff M, Andersen PK, Kessing LV (2007) Increased risk of treatment with antidepressants in stroke compared with other chronic illness. Int Clin Psychopharmacol 22:13–19. https://doi.org/10.1097/YIC.0b013e328010357f
doi: 10.1097/YIC.0b013e328010357f
pubmed: 17159455
Mortensen JK, Johnsen SP, Andersen G (2018) Prescription and predictors of post-stroke antidepressant treatment: a population-based study. Acta Neurol Scand 138:235–244. https://doi.org/10.1111/ane.12947
doi: 10.1111/ane.12947
pubmed: 29691834
Aho K, Harmsen P, Hatano S et al (1980) Cerebrovascular disease in the community: results of a WHO collaborative study. Bull World Health Organ 58:113–130
pubmed: 6966542
pmcid: 2395897
Putaala J, Metso AJ, Metso TM et al (2009) Analysis of 1008 consecutive patients aged 15 to 49 with first-ever ischemic stroke: the Helsinki young stroke registry. Stroke 40:1195–1203. https://doi.org/10.1161/STROKEAHA.108.529883
doi: 10.1161/STROKEAHA.108.529883
pubmed: 19246709
Tilastokeskus—Luokitukset—Sosioekonominen asema (1989) Luokituksen kuvaus. http://www.stat.fi/meta/luokitukset/sosioekon_asema/001-1989/kuvaus.html . Accessed 21 Oct 2018
R Core Team (2020) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
Meng G, Ma X, Li L et al (2017) Predictors of early-onset post-ischemic stroke depression: a cross-sectional study. BMC Neurol 17:199. https://doi.org/10.1186/s12883-017-0980-5
doi: 10.1186/s12883-017-0980-5
pubmed: 29149884
pmcid: 5693521
Putaala J, Kurkinen M, Tarvos V et al (2009) Silent brain infarcts and leukoaraiosis in young adults with first-ever ischemic stroke. Neurology 72:1823–1829. https://doi.org/10.1212/WNL.0b013e3181a711df
doi: 10.1212/WNL.0b013e3181a711df
pubmed: 19470964
Wu R-H, Li Q, Tan Y et al (2014) Depression in silent lacunar infarction: a cross-sectional study of its association with location of silent lacunar infarction and vascular risk factors. Neurol Sci 35:1553–1559. https://doi.org/10.1007/s10072-014-1794-5
doi: 10.1007/s10072-014-1794-5
pubmed: 24752391
pmcid: 4176570
Boden JM, Fergusson DM, Horwood LJ (2010) Cigarette smoking and depression: tests of causal linkages using a longitudinal birth cohort. Br J Psychiatry 196:440–446. https://doi.org/10.1192/bjp.bp.109.065912
doi: 10.1192/bjp.bp.109.065912
pubmed: 20513853
Flensborg-Madsen Trine T, Bay von Scholten M, Flachs EM et al (2011) Tobacco smoking as a risk factor for depression. A 26-year population-based follow-up study. J Psychiatr Res 45:143–149. https://doi.org/10.1016/j.jpsychires.2010.06.006
doi: 10.1016/j.jpsychires.2010.06.006
pubmed: 20630542
Shi YZ, Xiang YT, Yang Y et al (2015) Depression after minor stroke: prevalence and predictors. J Psychosom Res 79:143–147. https://doi.org/10.1016/j.jpsychores.2015.03.012
doi: 10.1016/j.jpsychores.2015.03.012
pubmed: 25868687
Weng WC, Huang WY, Chien YY et al (2011) The impact of smoking on the severity of acute ischemic stroke. J Neurol Sci 308:94–97. https://doi.org/10.1016/j.jns.2011.05.046
doi: 10.1016/j.jns.2011.05.046
pubmed: 21665225
Burton JK, Ferguson EEC, Barugh AJ et al (2018) Predicting discharge to institutional long-term care after stroke: a systematic review and metaanalysis. J Am Geriatr Soc 66:161–169. https://doi.org/10.1111/jgs.15101
doi: 10.1111/jgs.15101
pubmed: 28991368