J. Strik, A. Honig, R. Lousberg, J. van Os, Eduard J. M. Van Den Berg, H. M. van Praag
{"title":"Clinical Correlates of Depression following Myocardial Infarction","authors":"J. Strik, A. Honig, R. Lousberg, J. van Os, Eduard J. M. Van Den Berg, H. M. van Praag","doi":"10.2190/EJBR-DWLH-EV3P-TWHX","DOIUrl":null,"url":null,"abstract":"Objective: Post-MI depression increases mortality, especially in the first 18 months after MI. Identifying patients at risk for post-MI depression is therefore important. In the present study we investigated possible correlates for post-MI depression on an a priori basis. Method: Based on the literature, four clinically easily attainable variables were selected as possible correlates for post-MI depression. These were prescription of benzodiazepines during acute hospitalization, cardiac complications during acute hospitalization, history of depression, and not being able to stop smoking within six months after MI. A consecutive cohort of 173 first-MI patients was screened with the SCL-90 depression scale and DSM-III-R citeria for major depression. Of this cohort 35 depressed patients were compared with 35 non-depressed post-MI patients, matched for gender, age, and severity of MI. Results: In univariate analyses, complications during hospitalisation (OR = 2.14; CI = 0.89–5.14), prescription of benzodiazepines (OR = 3.67; CI = 1.11–12.1), history of depression (OR = 3.0; CI = 0.87–10.4), and not being able to stop smoking (OR = 4.5; CI = 1.11–18.2) were clinical correlates for post-MI depression. Multivariate analyses showed that none of these variables were independent of the others in predicting depression. Conclusions: A number of easily measurable patient characteristics identify those MI-patients at risk of post-MI depression. Further investigations should focus on the predictive value of these factors in relation to post-MI depression.","PeriodicalId":22510,"journal":{"name":"The International Journal of Psychiatry in Medicine","volume":"12 1","pages":"255 - 264"},"PeriodicalIF":0.0000,"publicationDate":"2001-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The International Journal of Psychiatry in Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2190/EJBR-DWLH-EV3P-TWHX","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
Abstract
Objective: Post-MI depression increases mortality, especially in the first 18 months after MI. Identifying patients at risk for post-MI depression is therefore important. In the present study we investigated possible correlates for post-MI depression on an a priori basis. Method: Based on the literature, four clinically easily attainable variables were selected as possible correlates for post-MI depression. These were prescription of benzodiazepines during acute hospitalization, cardiac complications during acute hospitalization, history of depression, and not being able to stop smoking within six months after MI. A consecutive cohort of 173 first-MI patients was screened with the SCL-90 depression scale and DSM-III-R citeria for major depression. Of this cohort 35 depressed patients were compared with 35 non-depressed post-MI patients, matched for gender, age, and severity of MI. Results: In univariate analyses, complications during hospitalisation (OR = 2.14; CI = 0.89–5.14), prescription of benzodiazepines (OR = 3.67; CI = 1.11–12.1), history of depression (OR = 3.0; CI = 0.87–10.4), and not being able to stop smoking (OR = 4.5; CI = 1.11–18.2) were clinical correlates for post-MI depression. Multivariate analyses showed that none of these variables were independent of the others in predicting depression. Conclusions: A number of easily measurable patient characteristics identify those MI-patients at risk of post-MI depression. Further investigations should focus on the predictive value of these factors in relation to post-MI depression.