Key result
Co-occurring cancer linked to ~6.7x higher mortality in heart disease patients.
Why the study?
Previous studies often evaluated disease counts or clusters at heart disease diagnosis, overlooking dynamic disease accumulation over time and interactions between co-occurring diseases, socioeconomic, and biological variables.
Does the dynamic expansion and interaction of co-occurring chronic diseases affect mortality risk in patients with chronic heart disease?
Cohort (n=766,596)
Does the dynamic expansion and interaction of co-occurring chronic diseases affect mortality risk in patients with chronic heart disease?
Effect estimate: HR 6.72 (95% CI 6.06-7.45)
Complex interactions among co-occurring chronic diseases significantly impact mortality in patients with heart disease, and failing to account for these interactions leads to an underestimation of mortality risk.
BACKGROUND: Medical advances in managing patients with chronic heart disease (HD) permit the co-occurrence of other chronic diseases due to increased longevity, causing them to become multimorbid. Previous research on the effect of co-occurring diseases on mortality among patients with HD often considers disease counts or clusters at HD diagnosis, overlooking the dynamics of patients' disease portfolios over time, where new chronic diseases are diagnosed before death. Furthermore, these studies do not consider interactions among diseases and between diseases, biological and socioeconomic variables, which are essential for addressing health disparities among patients with HD. Therefore, a mapping of the effect of combinations of these co-occurring diseases on mortality among patients with HD considering such interactions in a dynamic setting is warranted. OBJECTIVE: This study aimed to examine the effect of the co-occurring diseases of patients with HD on mortality, modeling their dynamically expanding chronic disease portfolios while identifying interactions between the co-occurring diseases, socioeconomic and biological variables. METHODS: This study used data from the national Danish registries and algorithmic diagnoses of 15 chronic diseases to obtain a study population of all 766,596 adult patients with HD in Denmark from January 1, 1995, to December 31, 2015. The time from HD diagnosis until death was modeled using an extended Cox model involving chronic diseases and their interactions as time-varying covariates. We identified interactions between co-occurring diseases, socioeconomic and biological variables in a data-driven manner using a hierarchical forward-backward selection procedure and stability selection. We mapped the impact on mortality of (1) the most common disease portfolios, (2) the disease portfolios subject to the highest level of interaction, and (3) the most severe disease portfolios. Estimates from interaction-based models were compared to an additive model. RESULTS: Cancer had the highest impact on mortality (hazard ratio=6.72 for male individuals and 7.59 for female individuals). Excluding cancer revealed schizophrenia and dementia as those with the highest mortality impact (top 5 hazard ratios in the 11.72-13.37 range for male individuals and 13.86-16.65 for female individuals for combinations of 4 diseases). The additive model underestimated the effects up to a factor of 1.4 compared to the interaction model. Stroke, osteoporosis, chronic obstructive pulmonary disease, dementia, and depression were identified as chronic diseases involved in the most complex interactions, which were of the fifth order. CONCLUSIONS: The findings of this study emphasize the importance of identifying and modeling disease interactions to gain a comprehensive understanding of mortality risk in patients with HD. This study illustrated that complex interactions are widespread among the co-occurring chronic diseases of patients with HD. Failing to account for these interactions can lead to an oversimplified attribution of risk to individual diseases, which may, in cases of multiple co-occurring diseases, result in an underestimation of mortality risk.
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Holm et al. (2025) conducted a cohort in Chronic heart disease (n=766,596). Co-occurring chronic diseases (disease portfolios) vs. Patients with only chronic heart disease was evaluated on All-cause mortality (HR 6.72, 95% CI 6.06-7.45). Cancer had the highest mortality impact among co-occurring diseases in heart disease patients (HR 6.72 males, 7.59 females), and failing to model disease interactions underestimated risk by up to 1.4x.
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