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. 2021 Dec;8(6):4626-4634.
doi: 10.1002/ehf2.13647. Epub 2021 Oct 5.

Stress cardiomyopathy in hospitalized patients with cancer: machine learning analysis by primary malignancy type

Awad I Javaid  1 , Dominique J Monlezun  2   3 , Gloria Iliescu  2 , Phi Tran  4 , Alexandru Filipescu  5 , Nicolas Palaskas  2 , Juan Lopez-Mattei  2 , Saamir Hassan  2 , Peter Kim  2 , Mohammad Madjid  4 , Mehmet Cilingiroglu  2 , Konstantinos Charitakis  4 , Konstantinos Marmagkiolis  2 , Cezar Iliescu  2 , Efstratios Koutroumpakis  4
Affiliations

Stress cardiomyopathy in hospitalized patients with cancer: machine learning analysis by primary malignancy type

Awad I Javaid et al. ESC Heart Fail. 2021 Dec.

Abstract

Aims: Previous studies have shown that patients with stress (Takotsubo) cardiomyopathy (SC) and cancer have higher in-hospital mortality than patients with SC alone. No studies have examined outcomes in patients with active cancer and SC compared to patients with active cancer without SC. We aimed to assess the potential association between primary malignancy type and SC and their shared interaction with inpatient mortality.

Methods and results: We analysed SC by primary malignancy type with propensity score adjusted multivariable regression and machine learning analysis using the 2016 United States National Inpatient Sample. Of 30 195 722 adult hospitalized patients, 4 719 591 had active cancer, of whom 568 239 had SC. The mean age of patients with cancer and SC was 69.1, of which 74.7% were women. Among patients with cancer, those with SC were more likely to be female and have white race, Medicare insurance, hypertension, heart failure with reduced ejection fraction, obesity, cerebrovascular disease, anaemia, and chronic obstructive pulmonary disease (P < 0.003 for all). In machine learning-augmented, propensity score multivariable regression adjusted for age, race, and income, only lung cancer [OR 1.25; 95% CI: 1.08-1.46; P = 0.003] and breast cancer [OR 1.81; 95% CI: 1.62-2.02; P < 0.001] were associated with a significantly increased likelihood of SC. Neither SC alone nor having both SC and cancer was significantly associated with in-hospital mortality. The presence of concomitant SC and breast cancer was significantly associated with reduced mortality (OR 0.48; 95% CI: 0.25-0.94; P = 0.032).

Conclusions: This analysis demonstrates that primary malignancy type influences the likelihood of developing SC. Further studies will be necessary to delineate characteristics in patients with lung cancer and breast cancer which contribute to development of SC. Additional investigation should confirm lower mortality in patients with SC and breast cancer and determine possible explanations and protective factors.

Keywords: Cancer; Cardio-oncology; Heart failure; Stress cardiomyopathy; Takotsubo cardiomyopathy.

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Conflict of interest statement

None declared.

Figures

Figure 1
Figure 1
Prevalence (percentage) of primary malignancy status by stress cardiomyopathy among malignancies with highest stress cardiomyopathy prevalence. *Statistically significant versus not, P < 0.05. The primary malignancies with the highest proportion or prevalence of SC within each primary are represented in Figure 1 , which demonstrates that SC was generally more prevalent for patients with historical rather than active disease and metastatic rather than non‐metastatic disease.
Figure 2
Figure 2
Graphic depicting central findings. This illustration demonstrates the key findings of our analysis.
See this image and copyright information in PMC

Comment in

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