ArticleJournal of cardiovascular development and disease2023
Construction and Validation of a Nomogram Predicting Depression Risk in Patients with Acute Coronary Syndrome Undergoing Coronary Stenting: A Prospective Cohort Study.
Article in Journal of cardiovascular development and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.
- Cardiovascular diseases and depression: A meta-analysis and Mendelian randomization analysis.Molecular psychiatry · 2025Pooled it
- Risk prediction models for depression in patients with coronary heart disease: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2024Pooled it
- Psychosocial and clinical characteristics in Takotsubo syndrome.Biology of sex differences · 2025Article
- Efficacy and safety of Shugan Jieyu Capsule in the treatment of depressive state after acute coronary syndrome: study protocol for a multicenter randomized controlled trial.Frontiers in psychiatry · 2025Article
- Development and Validation of a Machine Learning Model for Predicting Long-Term Depression Risk in ACS Patients After PCI: A Retrospective Cohort Study.International journal of general medicine · 2025Article
- Construction of a predictive model for depressive symptoms following acute myocardial infarction and its impact on prognosis.Frontiers in psychiatry · 2025Article
- Effective process quality control management for constipation prevention in hospitalized patients with acute coronary syndrome: An observational study.Health science reports · 2024Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo construct and validate a nomogram for predicting depression after acute coronary stent implantation for risk assessment.
methodsThis study included 150 patients with acute coronary syndrome (ACS) who underwent stent implantation. Univariate analysis was performed to identify the predictors of postoperative depression among the 24 factors. Subsequently, multivariate logistic regression was performed to incorporate the significant predictors into the prediction model. The model was developed using the "rms" software package in R software, and internal validation was performed using the bootstrap method.
resultsOf the 150 patients, 82 developed depressive symptoms after coronary stent implantation, resulting in an incidence of depression of 54.7%. Univariate analysis showed that sleep duration ≥7 h, baseline GAD-7 score, baseline PHQ-9 score, and postoperative GAD-7 score were associated with the occurrence of depression after stenting in ACS patients (all
conclusionsThis nomogram can help to predict the incidence of depression and has good clinical application value. This trial is registered with ChiCTR2300071408.
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