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Preoperative mental illness and postoperative atrial fibrillation in cardiac surgery patients: Identifying a vulnerable population

Published online by Cambridge University Press:  15 November 2022

Natalie K. Kolba
Affiliation:
Department of Surgery, Stony Brook University, Stony Brook, New York, USA
Byungho Lee
Affiliation:
Department of Surgery, Stony Brook University, Stony Brook, New York, USA
Henry J. Tannous
Affiliation:
Department of Surgery, Stony Brook University, Stony Brook, New York, USA Division of Cardiothoracic Surgery, Stony Brook University, Stony Brook, New York, USA
Thomas V. Bilfinger
Affiliation:
Department of Surgery, Stony Brook University, Stony Brook, New York, USA Division of Cardiothoracic Surgery, Stony Brook University, Stony Brook, New York, USA
Annie L. Shroyer*
Affiliation:
Department of Surgery, Stony Brook University, Stony Brook, New York, USA Division of Cardiothoracic Surgery, Stony Brook University, Stony Brook, New York, USA
*
Address for correspondence: Annie L. Shoyer PhD, Professor and Vice Chair for Research, Department of Surgery, Stony Brook Renaissance School of Medicine, Health Science Center 19-080, 100 Nicolls Road, Stony Brook, New York 11733-8191, USA. Email: annielaurie.shroyer@stonybrookmedicine.edu
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Abstract

Type
Letter
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Association for Clinical and Translational Science

According to the American Psychiatric Association, mental illnesses represent conditions where the emotions, thinking, or behavior of patients are altered. Given the close association between mental illness and stress, an imbalance of neurotransmitters is often a driver for the pathophysiologic changes observed [Reference Parekh1]. For example, patients with mental illnesses have been reported to have a higher prevalence of cardiovascular disease, which may be partially due to lifestyle-based risk factors [Reference Hawes, Roth, Wang, Stefancic, Weatherly and Cabassa2, Reference McGrath, Wray, Pedersen, Mortensen, Greve and Petersen3]. It has been found that both mental illnesses and their associated risk factors, including delays in care and medications, contribute to other postoperative outcomes such as a higher readmission rate, more non-fatal cardiac events, repeat cardiac procedures, and overall higher mortality rates [Reference Pignay-Demaria, Lespérance, Demaria, Frasure-Smith and Perrault4, Reference Jang, Kim and Song5]. When mentally ill patients are considered for surgery, their cardiac status is difficult to optimize because of the additional complications. Additionally, patients with cardiovascular disease often have concomitant conditions such as renal failure and diabetes [Reference Luscher6]. Because of these comorbidities, it is difficult to attribute any post-surgical complications purely to a mental illness diagnosis without additional statistical analysis. However, publications reporting preoperative risk factors have passed over the influence of mental illness diagnoses on clinical outcomes and resource utilization.

Given the paucity of articles identified using traditional search techniques, a very broad MEDLINE (PubMed) database search combined with manual screening of all articles was undertaken. For the 81 relevant articles found with multivariable risk models predicting new-onset atrial fibrillation, a wide variety of patient risk factors were reported; however, only 2 even considered the potential influence of mental illness. Katznelson et al. [Reference Katznelson, Scott Beattie, Djaiani, Machina, Lavi, Rao and Lavi7] prospectively observed 107 coronary artery bypass graft (CABG) patients to identify if preoperative depression was associated with new postoperative arrhythmias. Arrhythmias were assessed based on postoperative Holter monitoring. Comparing depressed versus non-depressed CABG patients, the new postoperative arrhythmias rates were not different (37.9% vs 35.9%: P = 0.50). Upon multivariable analysis, older age – but not depression – was identified as the most important risk factor impacting new onset of arrhythmias [Reference Katznelson, Scott Beattie, Djaiani, Machina, Lavi, Rao and Lavi7].

In Australia, Tully et al. [Reference Tully, Bennetts, Baker, McGavigan, Turnbull and Winefield8] studied 226 CABG patients. By the fifth day post-surgery, 56 (24.8%) of the CABG patients developed new-onset postoperative atrial fibrillation (POAF). Arrhythmias were detected via Holter monitor and daily electrocardiograms. Psychological assessments were based upon the three Depression Anxiety Stress Scales (DASS) where clinically relevant symptoms were identified for depression, anxiety, and stress. Although baseline psychological assessments did not predict POAF, patients’ postoperative DASS-identified anxiety had increased POAF odds (OR 1.09; 95% CI 1.00, 1.18; P < 0.05) [Reference Tully, Bennetts, Baker, McGavigan, Turnbull and Winefield8].

To summarize the correlation of preoperative and postoperative mental illness with postoperative atrial fibrillation, odds ratios were identified through a forest plot (Fig. 1). The forest plot supports that patients who developed atrial fibrillation were more likely to have mental illness compared to the non-atrial fibrillation group.

Fig. 1. Forest plot summary of postoperative atrial fibrillation (AF). CI = confidence interval, PO = postoperative, POAF = postoperative atrial fibrillation.

In general, mentally ill patients have been under-represented in research but are overall shown to receive less medical care and suffer from more complications [Reference Ward9]. In fact, cardiovascular disease is the leading cause of death in patients with severe mental illnesses. One of the major reasons for this is related to the higher prevalence of smoking, obesity, lack of exercise, and alcohol consumption in these patients [Reference Davidson, Judd, Jolley, Hocking, Thompson and Hyland10]. Patients with less medical care are also less likely to undertake testing such as cholesterol screening, which is related to higher rates of undiagnosed cardiovascular disease [Reference Ward9]. Gender and ethnicity may also play a role. Studies showed females are more likely to be diagnosed with a mental illness and cardiac conditions are associated with anxiety and depression among groups such as Caribbean Blacks [Reference Eaton, Keyes and Krueger11, Reference Assari12]. Unfortunately, even taking antidepressant and antipsychotic medications can have cardiovascular side effects and symptoms that need to be considered while prescribing [Reference Yekehtaz, Farokhnia and Akhondzadeh13]. These medications can alter signaling pathways and lead to arrhythmias, especially in patients with other risk factors [Reference Yamaguchi, Sumida and Nomura14].

Given the potential for a mental illness impact, it is disconcerting that large [e.g., the Society of Thoracic Surgeons (STS)], adult cardiac surgical databases do not gather enough data regarding cardiac surgery patients’ preoperative mental illness. Further, there is little known about how to manage cardiac surgical patients’ psychiatric medications peri- and postoperatively. Of note, medications such as anti-depressants are potent cytochrome inhibitors, risking postoperative drug-drug interactions [Reference Low, Setia and Lima15, Reference Ebrahimi, Shroyer, Dennis, Currier and Lendvai Wischik16]. Thus, “at risk” mentally ill cardiac surgical patients provide a unique challenge to cardiac treatment selection, perioperative care management, as well as to cardiac research enrollment decisions. Finding innovative, patient-centered approaches to engaging more actively mentally ill patients with concomitant cardiac disease to participate in future research investigations now appears warranted to improve this vulnerable patient population’s overall cardiovascular health and quality of life.

Acknowledgements

Sincere gratitude is provided to Mrs. Jessica Koos and Mrs. Jamie Saragossi for their expert librarian assistance.

Supported by Stony Brook Medicine's Scholarly Concentration Program Research Track, Cancer Center, and General T. F. Cheng endowment (Dr. Tannous - PI).

Availability of data and materials

Not applicable.

Disclosure

The authors have no conflicts of interest to declare.

Footnotes

Drs. Tannous, Bilfinger, and Shroyer should be considered jointly as co-senior authors

References

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Figure 0

Fig. 1. Forest plot summary of postoperative atrial fibrillation (AF). CI = confidence interval, PO = postoperative, POAF = postoperative atrial fibrillation.