ArticleBMJ open2026
Development and validation of a screening scale to predict postdischarge depression in patients with acute coronary syndrome after percutaneous coronary intervention: a prospective longitudinal study.
Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectivesTo develop a simple screening scale to predict depression after discharge in patients with acute coronary syndrome after percutaneous coronary intervention (ACS-PCI) and to verify its reliability, validity and cutoff value.
designProspective longitudinal study was conducted 1 week and 3 months after discharge.
settingTwo hospitals where PCI is performed in Japan.
participantsA total of 183 patients were potential candidates for the survey, of whom 42 provided valid responses (response rate: 23.0%).
resultsThe number of items was reduced from 14 to 12 with item-total correlations and principal component analysis. Cronbach's alpha coefficient was 0.832 and the intraclass correlation coefficient (1, 2) was 0.811 (95% CI 0.650 to 0.898). Significant correlations were observed for concurrent validity (r=0.699, p<0.01) and predictive validity (ρ=0.538, p<0.01). The area under the receiver operating characteristic curve was 0.799 (CI 0.629 to 0.970). A cut-off value of 28 points was obtained from the Youden index and demonstrated a sensitivity of 1.000, specificity of 0.553, positive predictive value (PPV) of 0.190 and negative predictive value of 0.000.
conclusionsThis study developed a simple screening scale for predicting postdischarge depression in patients with ACS-PCI (SDACS-12) and demonstrated its reliability, validity and predictive ability with 12 items. Nevertheless, its results should be interpreted cautiously given the moderate variance explained by PCA and the low specificity and PPV.
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