Psychological profiles derived by cluster analysis of Minnesota Multiphasic Personality Inventory and long term clinical outcome after coronary artery by pass grafting

Modica, Maddalena; Carabalona, Roberta; Spezzaferri, Rosa; Tavanelli, Monica; Torri, Anna; Ripamonti, Vittorino; Castiglioni, Paolo; Maria, Renata De; Ferratini, Maurizio

doi:10.4081/monaldi.2012.141

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…Of the seven excluded studies, two of three studies in patients with HF showed a significant association between type D personality and mortality using the two-group method (77)(78)(79). The four remaining studies focused on patients with CAD, three of which used the two-group method to show that type D personality was associated with MACE (80)(81)(82), whereas one study indicated that a cluster with patients with CAD scoring high on type D personality had an increased risk of all-cause mortality during follow-up than other patient clusters (83). None of these seven studies used the continuous method to estimate type D effects, leaving it unclear whether type D personality was driving these effects.…”

Section: Strengths and Limitationsmentioning

confidence: 99%

Type D Personality as a Risk Factor for Adverse Outcome in Patients With Cardiovascular Disease: An Individual Patient-Data Meta-analysis

et al. 2023

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Objective: Type D personality, a joint tendency toward negative affectivity and social inhibition, has been linked to adverse events in patients with heart disease, although with inconsistent findings. Here, we apply an individual patient-data meta-analysis to data from 19 prospective cohort studies (N = 11,151) to investigate the prediction of adverse outcomes by type D personality in patients with acquired cardiovascular disease. Method: For each outcome (all-cause mortality, cardiac mortality, myocardial infarction, coronary artery bypass grafting, percutaneous coronary intervention, major adverse cardiac event, any adverse event), we estimated type D's prognostic influence and the moderation by age, sex, and disease type. Results: In patients with cardiovascular disease, evidence for a type D effect in terms of the Bayes factor (BF) was strong for major adverse cardiac event (BF = 42.5; odds ratio [OR] = 1.14) and any adverse event (BF = 129.4; OR = 1.15). Evidence for the null hypothesis was found for all-cause mortality (BF = 45.9; OR = 1.03), cardiac mortality (BF = 23.7; OR = 0.99), and myocardial infarction (BF = 16.9; OR = 1.12), suggesting that type D had no effect on these outcomes. This evidence was similar in the subset of patients with coronary artery disease (CAD), but inconclusive for patients with heart failure (HF). Positive effects were found for negative affectivity on cardiac and all-cause mortality, with the latter being more pronounced in male than female patients. Conclusion: Across 19 prospective cohort studies, type D predicts adverse events in patients with CAD, whereas evidence in patients with HF was inconclusive. In both patients with CAD and HF, we found evidence for a null effect of type D on cardiac and all-cause mortality.

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Section: Strengths and Limitationsmentioning

confidence: 99%

Type D Personality as a Risk Factor for Adverse Outcome in Patients With Cardiovascular Disease: An Individual Patient-Data Meta-analysis

et al. 2023

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Cluster analysis of psychiatric profile, its correlates, and using mental health services among the young people aged 15–34: findings from the first phase of Iranian youth cohort in Ravansar

Khazaie

Najafi

Hamzeh

et al. 2018

Soc Psychiatry Psychiatr Epidemiol

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The results of the study show that 28.7% of the youth in the general population of western Iran are suffering from psychiatric disorders and nearly two-thirds of the total population reported a medium-severe functional disability. Considering the wide range of mental disorders and the functional disability levels created by these disorders, cluster analysis could provide invaluable information regarding the partitioning of the youth population.

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Psychological profiles derived by cluster analysis of Minnesota Multiphasic Personality Inventory and long term clinical outcome after coronary artery by pass grafting

Abstract: After CABG, the interpretation of MMPI-2 by cluster analysis is useful for the psychological and personological diagnosis to direct psychological assistance. Conversely, results from cluster analysis of MMPI-2 do not seem helpful to the clinician to predict long term outcome.

Cited by 2 publications

References 18 publications

Type D Personality as a Risk Factor for Adverse Outcome in Patients With Cardiovascular Disease: An Individual Patient-Data Meta-analysis

Type D Personality as a Risk Factor for Adverse Outcome in Patients With Cardiovascular Disease: An Individual Patient-Data Meta-analysis

Cluster analysis of psychiatric profile, its correlates, and using mental health services among the young people aged 15–34: findings from the first phase of Iranian youth cohort in Ravansar

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