Journal of Cardiovascular Care and Research

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Clinical Outcomes of Takotsubo Cardiomyopathy in Patients with Inflammatory Bowel Disease
Research Article - (2026) Volume: 1, Issue: 1

Muhammad Ahmed Khan 1*, Aysan Sattarzadeh 1, Chloe Lahoud 1, Suzanne El-Sayegh 1

1*Department of Internal Medicine Zucker School of Medicine at Hofstra/Northwell Staten Island University Hospital 475 Seaview Avenue Staten Island, NY 10305

*Correspondence to: Muhammad Ahmed Khan, Department of Internal Medicine Zucker School of Medicine at Hofstra / Northwell Staten Island University Hospital 475 Seaview Avenue Staten Island, NY 10305; Email:

Received: June 06, 2026; Manuscript No: JCCR-26-2984; Editor Assigned: June 09, 2026; PreQc No: JCCR-26-2984 (PQ); Reviewed: June 18, 2026; Revised: June 28, 2026; Manuscript No: JCCR-26-2984 (R); Published: July 06, 2026

ABSTRACT

Background:

Takotsubo cardiomyopathy (TCM) and inflammatory bowel disease (IBD) have both been linked to systemic inflammatory pathways, yet the clinical relationship between these conditions remains poorly understood. We evaluated the impact of concomitant IBD on outcomes among patients hospitalized with TCM using a nationally representative database.

Methods:

Hospitalizations for TCM were identified in the National Inpatient Sample (2016–2020) and stratified according to the presence or absence of IBD. The primary outcomes were in-hospital mortality and length of stay (LOS). Secondary outcomes were cardiogenic shock, cardiac arrest, acute kidney injury (AKI), acute pulmonary edema, left ventricular thrombus, cardiac tamponade, vasopressor utilization, central venous catheter placement, and mechanical circulatory support use, including Impella and extracorporeal membrane oxygenation (ECMO). Multivariable logistic regression was performed to determine adjusted associations.

Results:

Among 40,008 TCM hospitalizations, 504 (1.3%) had concomitant IBD. Patients with IBD were younger and had fewer traditional cardiovascular risk factors. LOS was significantly longer among patients with IBD (8.6 vs 6.9 days, p<0.001). Although in-hospital mortality was numerically higher, IBD was not independently associated with mortality (aOR 1.30, 95% CI 0.92–1.82; p=0.134). Concomitant IBD was independently associated with increased odds of AKI (aOR 1.37, p=0.003), ECMO utilization (aOR 4.21, p=0.006), central venous catheter placement (aOR 1.57, p=0.043), and cardiac tamponade (aOR 3.19, p=0.050). Vasopressor utilization and acute pulmonary edema demonstrated nonsignificant trends toward increased risk.

Conclusion:

Patients with concomitant IBD hospitalized with TCM represent a clinically distinct subgroup characterized by greater complications and resource utilization despite fewer traditional cardiovascular risk factors. These findings suggest that chronic inflammatory disease may influence the clinical severity and phenotype of TCM and warrants further investigation.

Keywords: Takotsubo cardiomyopathy; stress cardiomyopathy; inflammatory bowel disease; acute kidney injury; systemic inflammation

INTRODUCTION

Takotsubo cardiomyopathy (TCM), also known as stress-induced cardiomyopathy, is characterized by transient left ventricular systolic dysfunction in the absence of obstructive coronary artery disease [1]. Although previously considered benign, TCM is increasingly associated with substantial morbidity and mortality, including heart failure, arrhythmias, thromboembolic complications, cardiogenic shock, and recurrent hospitalizations [1-3].

Growing evidence suggests that systemic inflammation plays an important role in the pathophysiology and severity of TCM. Scally et al. demonstrated persistent myocardial inflammation and elevated interleukin-6 levels in patients with TCM, suggesting inflammation as a potential contributor rather than merely a secondary response [4]. Inflammatory burden has also been associated with adverse outcomes, including delayed ventricular recovery, increased in-hospital complications, and left ventricular thrombus formation in TCM [5,6].

Inflammatory bowel disease (IBD), including Crohn’s disease and ulcerative colitis, is a chronic immune-mediated disorder associated with increased cardiovascular risk independent of traditional risk factors [7,8]. Proposed mechanisms include chronic systemic inflammation, endothelial dysfunction, autonomic dysregulation, and a prothrombotic state, several of which overlap with pathways implicated in TCM [9]. Emerging data regarding the “gut-heart axis” further suggest that intestinal inflammation and disruption of gut barrier integrity may contribute to myocardial inflammation and cardiovascular dysfunction [9].

Despite these shared mechanisms, the relationship between IBD and TCM remains poorly characterized. Existing evidence is limited primarily to case reports and small observational studies [10-12]. We therefore sought to evaluate clinical outcomes among patients with concomitant IBD hospitalized with TCM using a nationally representative database, with particular focus on cardiovascular complications and resource utilization

METHODS

The Nationwide Inpatient Sample (NIS), developed as part of the Healthcare Cost and Utilization Project (HCUP) and maintained by the Agency for Healthcare Research and Quality (AHRQ), is the largest publicly available all-payer inpatient database in the United States. The NIS contains hospitalization-level data, including patient demographics, hospital characteristics, diagnoses, procedures, and inpatient outcomes. As each hospitalization is recorded as a separate entry, repeat admissions for the same patient may be included. Study outcomes were identified using the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding system (Supplementary Materials, Table 1). As NIS is a publicly available deidentified database, the study was exempt from Institutional Review Board review.

We performed a retrospective cohort study using NIS data from 2016 to 2020. Adult hospitalizations (≥18 years) with a diagnosis of TCM were identified using ICD-10-CM diagnosis codes. Hospitalizations were stratified according to the presence or absence of concomitant IBD, including Crohn’s disease and ulcerative colitis. Baseline characteristics included: age, sex, race, primary payer, median household income quartile, and hospital characteristics. Comorbidities identified included: diabetes mellitus, hypertension, dyslipidemia, overweight status, obesity, smoking history, chronic kidney disease (CKD stages 3–5), end-stage renal disease (ESRD), and coronary artery disease (CAD).

Primary outcomes were in-hospital mortality and length of stay. Secondary outcomes were cardiogenic shock, cardiac arrest, acute kidney injury (AKI), acute pulmonary edema, mechanical ventilation, left ventricular thrombus formation, cardiac tamponade, vasopressor utilization, arterial line placement, central venous catheter placement, and use of mechanical circulatory support, including Impella and extracorporeal membrane oxygenation (ECMO).

Statistical analyses were performed using IBM Statistical Package for Social Sciences (SPSS) Statistics Software (IBM Corp., Armonk, NY, USA). Analyses were performed without application of National Inpatient Sample discharge weights. Continuous variables were expressed as means with standard deviations and compared using the independent-samples t test. Categorical variables were expressed as frequencies and percentages and compared using the χ² test. Multivariable logistic regression analyses were performed to evaluate the independent association between concomitant inflammatory bowel disease and study outcomes. Regression models were adjusted for age, sex, race, diabetes mellitus, hypertension, dyslipidemia, overweight status, obesity, smoking history, chronic kidney disease stages 3–5, end-stage renal disease, and coronary artery disease. Adjusted odds ratios (aORs) with 95% confidence intervals (CIs) were reported. A two-sided p value <0.05 was considered statistically significant

RESULTS

A total of 40,008 hospitalizations with TCM were identified during the study period, of which 504 (1.3%) had a concomitant diagnosis of IBD. Patients with IBD were younger than those without IBD (64.8 ± 13.7 vs. 67.1 ± 14.2 years, p<0.001), while the proportion of female patients was similar between groups (84.5% vs. 82.6%, p=0.249). Racial distribution differed significantly (p<0.001), with a greater proportion of White patients in the IBD cohort (88.0% vs. 80.3%) and lower proportions of Black, Hispanic, and Asian patients (Table 1).

Patients with concomitant IBD demonstrated a distinct cardiovascular risk profile. Diabetes mellitus (17.3% vs. 24.2%, p<0.001), hypertension (58.9% vs. 67.0%, p<0.001), and dyslipidemia (27.8% vs. 34.0%, p=0.003) were less prevalent among patients with IBD. Smoking was more common in the IBD cohort (31.2% vs. 26.2%, p=0.012), while obesity, chronic kidney disease, end-stage renal disease, and coronary artery disease did not differ significantly between groups. Unadjusted in-hospital mortality was numerically higher among patients with IBD but did not reach statistical significance (7.7% vs. 6.6%, p=0.292). Patients with concomitant IBD had significantly longer lengths of stay than those without IBD (8.57 vs. 6.88 days, p<0.001) (Tables 1 and 2).

On multivariable logistic regression analysis (Tables 3–15), concomitant IBD was not independently associated with in-hospital mortality (aOR 1.30, 95% CI 0.92–1.82, p=0.134), cardiac arrest (aOR 1.05, 95% CI 0.64–1.71, p=0.852), intubation (aOR 1.10, 95% CI 0.87–1.40, p=0.408), or Impella utilization (aOR 0.98, 95% CI 0.24–3.98, p=0.980). IBD was not significantly associated with cardiogenic shock, although a borderline association was observed (aOR 1.36, 95% CI 0.98–1.88, p=0.060). No significant association was observed between IBD and left ventricular thrombus formation (aOR 1.31, 95% CI 0.53–3.19, p=0.550).

Patients with concomitant IBD demonstrated significantly greater odds of AKI (aOR 1.37, 95% CI 1.11–1.70, p=0.003) and ECMO utilization (aOR 4.21, 95% CI 1.51–11.71, p=0.006). Additionally, IBD was independently associated with increased central venous catheter placement (aOR 1.57, 95% CI 1.02–2.43, p=0.043). Arterial line placement was not significantly associated with IBD (aOR 1.50, 95% CI 0.87–2.58, p=0.140), while vasopressor utilization demonstrated a borderline association (aOR 1.47, 95% CI 0.99–2.17, p=0.055). IBD was also associated with increased odds of cardiac tamponade (aOR 3.19, 95% CI 0.998–10.19, p=0.050). Acute pulmonary edema was not significantly associated with IBD (aOR 1.71, 95% CI 0.91–3.23, p=0.096).

In multivariable analyses, increasing age was independently associated with higher in-hospital mortality (aOR 1.018 per year, 95% CI 1.015–1.021, p<0.001), whereas female sex was associated with lower mortality (aOR 0.45, 95% CI 0.41–0.50, p<0.001). Black race was associated with increased odds of mortality, cardiac arrest, intubation, and cardiac tamponade, while Hispanic and Asian race were also associated with increased mortality. Chronic kidney disease and diabetes mellitus were independently associated with multiple adverse outcomes, including mortality and AKI.

DISCUSSION

In this large nationally representative analysis, patients with concomitant IBD hospitalized with TCM represented a distinct subgroup characterized by younger age, fewer traditional cardiovascular risk factors, and increased utilization of advanced therapies. Although IBD was not independently associated with increased in-hospital mortality, it was associated with higher odds of AKI, ECMO utilization, central venous catheter placement, and cardiac tamponade, with a trend toward greater vasopressor use. Collectively, these findings support a potential association between chronic inflammatory disease and a more severe clinical presentation of TCM. To our knowledge, no prior nationwide analysis has specifically evaluated inpatient outcomes among patients with concomitant IBD and TCM. Shared mechanisms proposed between the two conditions include chronic inflammation, endothelial dysfunction, autonomic dysregulation, and psychological stress [9,10]. Our study expands upon this literature by providing large-scale epidemiologic data suggesting that patients with concomitant IBD may experience a more complicated hospital course when hospitalized with TCM.

One of the most notable findings was the significantly increased odds of ECMO utilization among patients with IBD. Although greater ECMO utilization was observed among patients with IBD, the absolute number of ECMO events was small, and this finding should therefore be interpreted cautiously. Nevertheless, it may reflect greater illness severity and the need for advanced supportive therapies in this population. The precise mechanisms underlying this association cannot be determined from administrative data; however, systemic inflammation, cytokine activation, endothelial dysfunction, and autonomic imbalance associated with IBD may amplify catecholamine-mediated myocardial dysfunction and impair compensatory cardiovascular responses during acute stress states [9]. Additionally, factors frequently encountered in IBD, including anemia, electrolyte abnormalities, and volume depletion, may further increase hemodynamic vulnerability during acute TCM presentations.

Another important finding was the increased risk of AKI among patients with IBD. This observation is clinically relevant given the multifactorial susceptibility to renal injury in IBD. Chronic inflammation, endothelial dysfunction, impaired microvascular perfusion, and recurrent episodes of volume depletion may predispose these patients to renal injury during periods of hemodynamic stress. Furthermore, AKI may serve as a marker of more severe systemic illness in TCM and could partially explain the increased resource utilization observed in the IBD cohort.

The relationship between chronic inflammatory disorders and TCM has increasingly gained attention in recent years. Several biologically plausible mechanisms have been proposed to link IBD and TCM, including chronic immune activation, endothelial dysfunction, autonomic dysregulation, and microvascular impairment [9,10]. Emerging evidence regarding the gut-heart axis further suggests that intestinal inflammation and disruption of gut barrier integrity may contribute to myocardial inflammation and cardiovascular dysfunction [9]. The present findings extend this growing body of literature by suggesting that patients with concomitant IBD may experience a more severe clinical course when hospitalized with TCM, supporting the need for further investigation into the interaction between chronic inflammatory disease and stress cardiomyopathy [10].

The increased requirement for central venous catheterization and the trend toward greater vasopressor use similarly suggest greater hemodynamic instability and resource utilization among patients with concomitant IBD and TCM. These findings are consistent with prior studies demonstrating associations between inflammatory burden and adverse outcomes in TCM. Scally et al. identified persistent myocardial inflammation in patients with TCM [4], while subsequent investigations demonstrated associations between inflammatory biomarkers and delayed ventricular recovery and other adverse clinical outcomes [5]. Although inflammatory markers were unavailable in the present study, our findings are consistent with the hypothesis that chronic inflammatory disease may influence the severity and clinical manifestations of TCM.

Another noteworthy finding was the increased odds of cardiac tamponade among patients with IBD. Although tamponade remains a rare complication and event numbers were small, inflammatory pericardial complications have been described individually in both TCM and IBD [11,12]. These observations raise the possibility that patients with concomitant inflammatory disease may be more susceptible to pericardial involvement during TCM episodes. Nonetheless, since cardiac tamponade events were infrequent and confidence intervals were wide, this association should be interpreted cautiously and requires confirmation in future studies.

Despite increased markers of illness severity, IBD was not independently associated with increased in-hospital mortality. This may reflect the reversible nature of TCM when recognized and managed early. Similarly, there was no significant increase in LV thrombus formation despite the prothrombotic milieu associated with IBD [7,8]. The absence of association may relate to the low overall event rate and limitations inherent to administrative coding datasets.

Interestingly, patients with IBD demonstrated lower rates of hypertension, diabetes mellitus, and dyslipidemia despite comparable or greater illness severity. This observation parallels prior studies demonstrating that patients with IBD often possess fewer traditional cardiovascular risk factors while remaining at increased risk for adverse cardiovascular outcomes [13]. In our cohort, the presence of fewer conventional risk factors alongside increased complication rates and resource utilization suggests that inflammation-related mechanisms may contribute to adverse outcomes beyond traditional cardiovascular risk profiles.

This study has several limitations. As a retrospective administrative database analysis, it is subject to coding inaccuracies, residual confounding, and selection bias. The NIS lacks detailed clinical information including inflammatory biomarkers, echocardiographic findings, coronary angiography results, medication exposure, and measures of IBD disease activity. Also, as sampling weights were not applied, the findings should be interpreted within the context of the study cohort. Although application of NIS sampling weights may improve national representativeness, the observed associations remain internally valid within this large administrative database. Additionally, longitudinal outcomes, recurrent hospitalizations, and long-term ventricular recovery could not be assessed. Several complications, including cardiac tamponade and LV thrombus, were infrequent and should therefore be interpreted cautiously.

Despite these limitations, this study represents one of the largest analyses evaluating outcomes among patients with concomitant IBD and TCM. Our findings suggest that chronic inflammatory disease may influence the severity and clinical presentation of TCM and are consistent with a potential contribution of inflammatory pathways to stress cardiomyopathy. Prospective studies incorporating inflammatory biomarkers and detailed clinical data are needed to better define the relationship between IBD and TCM and to determine whether inflammatory risk stratification may improve management of this population.

CONCLUSION

In this large nationally representative analysis of patients hospitalized with Takotsubo cardiomyopathy, concomitant inflammatory bowel disease identified a clinically distinct subgroup characterized by younger age, fewer traditional cardiovascular risk factors, and increased complication burden and resource utilization. Although IBD was not independently associated with increased in-hospital mortality, patients with concomitant IBD demonstrated significantly greater odds of acute kidney injury, ECMO utilization, central venous catheter placement, and cardiac tamponade, with a trend toward increased vasopressor requirement, suggesting greater physiologic severity and higher-intensity critical care needs. These findings are consistent with the growing body of literature linking chronic inflammatory disease to adverse cardiovascular outcomes and highlight the potential relevance of the gut-heart axis in stress cardiomyopathy. To our knowledge, this study represents one of the largest investigations to date evaluating outcomes among patients with concomitant IBD and Takotsubo cardiomyopathy and provides novel evidence that chronic inflammatory disease may influence the clinical phenotype and severity of TCM. Future prospective studies incorporating inflammatory biomarkers and detailed clinical characterization are warranted to better define the mechanistic relationship between IBD and Takotsubo syndrome and to determine whether inflammation-based risk stratification may improve outcomes in this unique patient population.

CONFLICT OF INTEREST

The author declares no conflicts of interest.

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    Author Note

    Muhammad Ahmed Khan, MD; Aysan Sattarzadeh, MD; Chloe Lahoud, MD; and Suzanne El Sayegh, MD are affiliated with the Department of Internal Medicine at Zucker School of Medicine at Hofstra/Northwell Staten Island University Hospital. This research received no external funding. The study was exempt from approval by the Institutional Review Board of Northwell Health/Staten Island University Hospital. All authors declare no conflicts of interest. Correspondence concerning this article should be addressed to Muhammad Ahmed Khan, MD, Department of Internal Medicine, Northwell Health/Staten Island University Hospital. Email: ahmedk9396@gmail.com .

    Table 1 : Patient Demographics, Comorbidities and Unadjusted Morality

    All patients

    Takotsubo or SCM (total n=40,008)

    Demographics

    IBD

    No IBD

    p-value

    Total n

    504

    39,504

    Age mean, SD

    64.79, 13.69

    67.09, 14.22

    <.001

    Sex female (%)

    426 (84.5)

    32,612 (82.6)

    0.249

    Race

    <.001

    White

    426 (88)

    30,680 (80.3)

    Black

    31 (6.4)

    3,142 (8.2)

    Hispanic

    17 (3.5)

    2,457 (6.4)

    Asian

    1 (0.2)

    820 (2.1)

    Native American

    4 (0.8)

    243 (0.6)

    Other

    5 (1)

    878 (0.6)

    Primary expected payer

    0.044

    Medicare

    321 (63.7)

    24,971 (63.3)

    Medicaid

    41 (8.1)

    4,276 (10.8)

    Private

    123 (24.4)

    8,287 (21)

    Self-pay

    6 (1.2)

    1,063 (2.7)

    None

    2 (0.4)

    78 (0.2)

    Other

    11 (2.2)

    784 (2)

    Population Setting

    0.36

    >1 million in central city

    123 (24.4)

    10,183 (25.9)

    >1 million fringe of city

    144 (28.6)

    10.075 (25.6)

    250K-1 million population

    119 (23.6)

    8.562 (21.8)

    50K-250K population

    43 (8.5)

    3.873 (9.8)

    <50K Metropolitan counties

    47 (9.3)

    3.893 (9.9)

    <50K Not metropolitan counties

    28 (5.6)

    2,766 (7)

    Median Household Income

    0.537

    0-25th percentile

    114 (23.1)

    9,888 (25.4)

    26-50th percentile

    126 (25.6)

    10.236 (26.3)

    51-75th percentile

    137 (27.8)

    9,999 (25.7)

    76-100th percentile

    116 (23.5)

    8,744 (22.5)

    DM

    87 (17.3)

    9,570 (24.2)

    <.001

    HTN

    297 (58.9)

    26,485 (67)

    <.001

    Dyslipidemia

    140 (27.8)

    13,425 (34)

    0.003

    Overweight BMI 25 to 29.9

    10 (2)

    786 (2)

    0.993

    Obesity BMI 30 +

    56 (11.1)

    4,924 (12.5)

    0.36

    Smoking

    157 (31.2)

    10,352 (26.2)

    0.012

    CKD 3-5

    45 (8.9)

    3,413 (8.6)

    0.819

    ESRD

    8 (1.6)

    805 (2)

    0.476

    CAD

    186 (36.9)

    15,715 (39.8)

    0.19

    Mortality

    39 (7.7)

    2,592 (6.6)

    0.292

      Table 2: Length of Stay Comparison

    IBD

    No IBD

    p-value

    Length of Stay (mean + SD)

    8.57 + 10.47

    6.88+ 9.51

    <.001

    Table 3 : Adjust Analysis of Inpatient Mortality

    In-hospital mortality

    OR

    Lower CI 95%

    Higher CI 95%

    p-value

    IBD

    1.296

    0.923

    1.82

    0.134

    Age mean (SD)

    1.018

    1.015

    1.021

    <.001

    Sex female (mean)

    0.452

    0.412

    0.496

    <.001

    Race

    White = REFERENCE

    Black

    1.295

    1.123

    1.493

    <.001

    Hispanic

    1.345

    1.153

    1.57

    <.001

    Asian

    1.857

    1.487

    2.32

    <.001

    Native American

    1.167

    0.708

    1.925

    0.545

    Other

    1.623

    1.287

    2.047

    <.001

    DM

    1.124

    1.017

    1.242

    0.022

    HTN

    0.652

    0.596

    0.714

    <.001

    Dyslipidemia

    0.663

    0.601

    0.732

    <.001

    Overweight BMI 25 to 29.9

    0.74

    0.528

    1.038

    0.081

    Obesity BMI 30 +

    0.993

    0.866

    1.138

    0.915

    CKD3-5

    1.315

    1.142

    1.514

    <.001

    ESRD

    1.845

    1.465

    2.325

    <.001

    Smoking

    0.672

    0.606

    0.747

    <.001

    CAD

    0.528

    0.481

    0.581

    <.001

    Table 4 : Adjusted Analysis of Cardiac Arrest

    Cardiac arrest

    OR

    Lower CI 95%

    Higher CI 95%

    p-value

    IBD

    1.048

    0.642

    1.711

    0.852

    Age mean (SD)

    0.984

    0.981

    0.988

    <.001

    Sex female (mean)

    0.583

    0.513

    0.662

    <.001

    Race

    White = REFERENCE

    Black

    1.587

    1.34

    1.88

    <.001

    Hispanic

    1.107

    0.892

    1.375

    0.357

    Asian

    1.59

    1.157

    2.185

    0.004

    Native American

    1.411

    0.783

    2.54

    0.252

    Other

    1.222

    0.871

    1.715

    0.246

    DM

    0.983

    0.854

    1.131

    0.81

    HTN

    0.845

    0.746

    0.957

    0.008

    Dyslipidemia

    0.755

    0.659

    0.864

    <.001

    Overweight BMI 25 to 29.9

    0.828

    0.542

    1.265

    0.382

    Obesity BMI 30 +

    1.234

    1.047

    1.453

    0.012

    CKD3-5

    1.126

    0.906

    1.401

    0.284

    ESRD

    1.639

    1.207

    2.227

    0.002

    Smoking

    0.65

    0.561

    0.753

    <.001

    CAD

    0.794

    0.7

    0.901

    <.001

    Table 5: Adjusted Analysis of Cardiogenic Shock

    Cardiogenic shock

    OR

    Lower CI 95%

    Higher CI 95%

    p-value

    IBD

    1.357

    0.983

    1.872

    0.063

    Age mean (SD)

    0.997

    0.994

    1

    0.041

    Sex female (mean)

    0.624

    0.567

    0.686

    <.001

    Race

    White = REFERENCE

    Black

    1.186

    1.03

    1.366

    0.017

    Hispanic

    1.301

    1.119

    1.513

    <.001

    Asian

    1.819

    1.456

    2.273

    <.001

    Native American

    1.438

    0.931

    2.222

    0.102

    Other

    1.119

    0.865

    1.447

    0.394

    DM

    1.112

    1.007

    1.228

    0.037

    HTN

    0.649

    0.593

    0.709

    <.001

    Dyslipidemia

    0.811

    0.738

    0.892

    <.001

    Overweight BMI 25 to 29.9

    0.943

    0.702

    1.268

    0.7

    Obesity BMI 30 +

    1.133

    1.001

    1.284

    0.048

    CKD3-5

    1.17

    1.007

    1.359

    0.04

    ESRD

    1.514

    1.187

    1.932

    <.001

    Smoking

    0.718

    0.649

    0.795

    <.001

    CAD

    0.798

    0.73

    0.873

    <.001

      Table 6: Adjusted Analysis of Left Ventricular Thrombus

    LV thrombus

    OR

    Lower CI 95%

    Higher CI 95%

    p-value

    IBD

    1.308

    0.537

    3.185

    0.554

    Age mean (SD)

    0.987

    0.979

    0.995

    0.002

    Sex female (mean)

    0.801

    0.607

    1.056

    0.116

    Race

    White = REFERENCE

    Black

    1.443

    1

    2.082

    0.05

    Hispanic

    1.243

    0.803

    1.924

    0.329

    Asian

    1.709

    0.9

    3.246

    0.102

    Native American

    0.533

    0.074

    3.818

    0.531

    Other

    1.328

    0.678

    2.601

    0.409

    DM

    1

    0.752

    1.33

    0.998

    HTN

    0.874

    0.678

    1.127

    0.3

    Dyslipidemia

    0.771

    0.59

    1.009

    0.058

    Overweight BMI 25 to 29.9

    1.614

    0.822

    3.166

    0.164

    Obesity BMI 30 +

    0.779

    0.53

    1.144

    0.203

    CKD3-5

    1.13

    0.739

    1.728

    0.572

    ESRD

    0.601

    0.222

    1.631

    0.318

    Smoking

    1.109

    0.857

    1.435

    0.431

    CAD

    1.161

    0.911

    1.479

    0.227

      Table 7 : Adjusted Analysis of ECMO Utilization

    ECMO

    OR

    Lower CI 95%

    Higher CI 95%

    p-value

    IBD

    4.209

    1.513

    11.71

    0.006

    Age mean (SD)

    0.957

    0.943

    0.97

    <.001

    Sex female (mean)

    0.442

    0.283

    0.692

    <.001

    Race

    White = REFERENCE

    Black

    1.989

    1.121

    3.531

    0.019

    Hispanic

    2.195

    1.188

    4.054

    0.012

    Asian

    2.323

    0.825

    6.539

    0.11

    Native American

    0

    0

    .

    0.995

    Other

    1.425

    0.438

    4.641

    0.557

    DM

    0.944

    0.53

    1.682

    0.844

    HTN

    0.977

    0.606

    1.575

    0.924

    Dyslipidemia

    0.715

    0.389

    1.314

    0.28

    Overweight BMI 25 to 29.9

    2.137

    0.766

    5.966

    0.147

    Obesity BMI 30 +

    1.405

    0.785

    2.514

    0.252

    CKD3-5

    0.527

    0.127

    2.19

    0.378

    ESRD

    1.194

    0.365

    3.904

    0.769

    Smoking

    0.461

    0.23

    0.927

    0.03

    CAD

    0.402

    0.208

    0.775

    0.007

      Table 8 : Adjusted Analysis of AKI

    AKI

    OR

    Lower CI 95%

    Higher CI 95%

    p-value

    IBD

    1.373

    1.111

    1.697

    0.003

    Age mean (SD)

    1.007

    1.005

    1.008

    <.001

    Sex female (mean)

    0.434

    0.408

    0.461

    <.001

    Race

    White = REFERENCE

    Black

    1.524

    1.4

    1.66

    <.001

    Hispanic

    1.075

    0.973

    1.189

    0.155

    Asian

    1.33

    1.132

    1.562

    <.001

    Native American

    1.162

    0.861

    1.568

    0.326

    Other

    1.242

    1.058

    1.457

    0.008

    DM

    1.459

    1.377

    1.546

    <.001

    HTN

    0.951

    0.898

    1.007

    0.084

    Dyslipidemia

    0.837

    0.792

    0.885

    <.001

    Overweight BMI 25 to 29.9

    1.083

    0.911

    1.287

    0.365

    Obesity BMI 30 +

    1.144

    1.061

    1.234

    <.001

    CKD3-5

    5.2

    4.811

    5.622

    <.001

    ESRD

    1.082

    0.915

    1.28

    0.356

    Smoking

    0.722

    0.681

    0.767

    <.001

    CAD

    0.705

    0.669

    0.744

    <.001

    Table 9 : Adjusted Analysis of Cardiac Tamponade

    Cardiac Tamponade

    OR

    Lower CI 95%

    Higher CI 95%

    p-value

    IBD

    3.19

    0.998

    10.191

    0.05

    Age mean (SD)

    0.983

    0.968

    0.998

    0.026

    Sex female (mean)

    0.747

    0.449

    1.244

    0.262

    Race

    White = REFERENCE

    Black

    2.899

    1.653

    5.085

    <.001

    Hispanic

    1.812

    0.847

    3.875

    0.125

    Asian

    2.986

    1.065

    8.37

    0.038

    Native American

    2.242

    0.307

    16.384

    0.426

    Other

    1.309

    0.316

    5.412

    0.71

    DM

    0.835

    0.482

    1.446

    0.52

    HTN

    1.39

    0.838

    2.304

    0.202

    Dyslipidemia

    0.66

    0.387

    1.127

    0.128

    Overweight BMI 25 to 29.9

    2.352

    0.846

    6.538

    0.101

    Obesity BMI 30 +

    1.074

    0.568

    2.03

    0.827

    CKD3-5

    0.988

    0.42

    2.326

    0.979

    ESRD

    1.234

    0.38

    4.006

    0.726

    Smoking

    1.016

    0.61

    1.693

    0.951

    CAD

    0.835

    0.514

    1.355

    0.465

      Table 10 : Adjusted Analysis of Intubation

    Intubation

    OR

    Lower CI 95%

    Higher CI 95%

    p-value

    IBD

    1.104

    0.873

    1.397

    0.408

    Age mean (SD)

    0.983

    0.981

    0.985

    <.001

    Sex female (mean)

    0.514

    0.482

    0.548

    <.001

    Race

    White = REFERENCE

    Black

    1.323

    1.206

    1.45

    <.001

    Hispanic

    1.133

    1.018

    1.26

    0.022

    Asian

    1.743

    1.48

    2.053

    <.001

    Native American

    1.205

    0.881

    1.649

    0.243

    Other

    1.338

    1.134

    1.579

    <.001

    DM

    1.143

    1.069

    1.222

    <.001

    HTN

    0.7

    0.659

    0.743

    <.001

    Dyslipidemia

    0.741

    0.695

    0.79

    <.001

    Overweight BMI 25 to 29.9

    1.145

    0.95

    1.38

    0.155

    Obesity BMI 30 +

    1.176

    1.083

    1.276

    <.001

    CKD3-5

    1.102

    0.991

    1.224

    0.072

    ESRD

    1.786

    1.513

    2.108

    <.001

    Smoking

    0.689

    0.644

    0.737

    <.001

    CAD

    0.591

    0.556

    0.628

    <.001

      Table 11: Adjusted Analysis of Arterial Line Use

    Arterial line

    OR

    Lower CI 95%

    Higher CI 95%

    p-value

    IBD

    1.503

    0.874

    2.582

    0.14

    Age mean (SD)

    0.982

    0.977

    0.987

    <.001

    Sex female (mean)

    0.53

    0.451

    0.622

    <.001

    Race

    White = REFERENCE

    Black

    1.282

    1.012

    1.623

    0.039

    Hispanic

    1.227

    0.941

    1.6

    0.13

    Asian

    1.908

    1.311

    2.775

    <.001

    Native American

    1.983

    1.04

    3.781

    0.038

    Other

    1.289

    0.847

    1.961

    0.236

    DM

    1.28

    1.072

    1.529

    0.006

    HTN

    0.612

    0.52

    0.719

    <.001

    Dyslipidemia

    0.926

    0.777

    1.105

    0.395

    Overweight BMI 25 to 29.9

    1.137

    0.695

    1.861

    0.609

    Obesity BMI 30 +

    1.056

    0.845

    1.32

    0.631

    CKD3-5

    1.28

    0.964

    1.701

    0.088

    ESRD

    1.687

    1.128

    2.523

    0.011

    Smoking

    0.715

    0.591

    0.866

    <.001

    CAD

    0.568

    0.475

    0.679

    <.001

      Table 12 : Adjusted Analysis for Central Line Use

    Central line

    OR

    Lower CI 95%

    Higher CI 95%

    p-value

    IBD

    1.569

    1.015

    2.426

    0.043

    Age mean (SD)

    0.992

    0.988

    0.996

    <.001

    Sex female (mean)

    0.633

    0.553

    0.726

    <.001

    Race

    White = REFERENCE

    Black

    1.251

    1.031

    1.519

    0.024

    Hispanic

    1.399

    1.135

    1.723

    0.002

    Asian

    1.82

    1.334

    2.484

    <.001

    Native American

    1.014

    0.497

    2.069

    0.97

    Other

    1.436

    1.027

    2.009

    0.035

    DM

    1.077

    0.933

    1.244

    0.312

    HTN

    0.739

    0.648

    0.843

    <.001

    Dyslipidemia

    0.851

    0.741

    0.978

    0.023

    Overweight BMI 25 to 29.9

    1.191

    0.808

    1.756

    0.377

    Obesity BMI 30 +

    1.099

    0.919

    1.315

    0.299

    CKD3-5

    1.442

    1.168

    1.78

    <.001

    ESRD

    4.017

    3.148

    5.126

    <.001

    Smoking

    0.76

    0.655

    0.883

    <.001

    CAD

    0.572

    0.498

    0.657

    <.001

      Table 13 : Adjusted Analysis for Vasopressor Use

    Vasopressors

    OR

    Lower CI 95%

    Higher CI 95%

    p-value

    IBD

    1.466

    0.993

    2.165

    0.055

    Age mean (SD)

    0.996

    0.992

    0.999

    0.014

    Sex female (mean)

    0.474

    0.423

    0.531

    <.001

    Race

    White = REFERENCE

    Black

    1.253

    1.056

    1.487

    0.01

    Hispanic

    1.294

    1.073

    1.561

    0.007

    Asian

    1.949

    1.492

    2.545

    <.001

    Native American

    0.983

    0.518

    1.864

    0.957

    Other

    1.261

    0.93

    1.708

    0.135

    DM

    1.113

    0.98

    1.263

    0.098

    HTN

    0.597

    0.533

    0.668

    <.001

    Dyslipidemia

    0.832

    0.736

    0.94

    0.003

    Overweight BMI 25 to 29.9

    1.515

    1.112

    2.064

    0.008

    Obesity BMI 30 +

    1.105

    0.943

    1.295

    0.215

    CKD3-5

    1.241

    1.025

    1.503

    0.027

    ESRD

    1.575

    1.169

    2.121

    0.003

    Smoking

    0.701

    0.615

    0.8

    <.001

    CAD

    0.54

    0.478

    0.611

    <.001

      Table 14 : Adjusted Analysis for Impella Use

    Impella

    OR

    Lower CI 95%

    Higher CI 95%

    p-value

    IBD

    0.982

    0.242

    3.981

    0.98

    Age mean (SD)

    0.995

    0.984

    1.006

    0.394

    Sex female (mean)

    0.738

    0.505

    1.079

    0.117

    Race

    White = REFERENCE

    Black

    0.741

    0.396

    1.385

    0.348

    Hispanic

    0.919

    0.493

    1.713

    0.789

    Asian

    0.812

    0.257

    2.565

    0.722

    Native American

    1.702

    0.417

    6.949

    0.459

    Other

    0.491

    0.121

    1.993

    0.32

    DM

    1.265

    0.871

    1.836

    0.217

    HTN

    0.624

    0.442

    0.879

    0.007

    Dyslipidemia

    0.719

    0.494

    1.045

    0.084

    Overweight BMI 25 to 29.9

    0.273

    0.038

    1.964

    0.197

    Obesity BMI 30 +

    1.759

    1.161

    2.664

    0.008

    CKD3-5

    1.183

    0.669

    2.094

    0.563

    ESRD

    0.958

    0.301

    3.052

    0.942

    Smoking

    0.489

    0.313

    0.763

    0.002

    CAD

    0.967

    0.689

    1.356

    0.845

      Table 15 : Adjusted Analysis for Acute Pulmonary Edema

    Acute pulmonary edema

    OR

    Lower CI 95%

    Higher CI 95%

    p-value

    IBD

    1.714

    0.909

    3.233

    0.096

    Age mean (SD)

    0.993

    0.986

    0.999

    0.03

    Sex female (mean)

    0.929

    0.734

    1.175

    0.539

    Race

    White = REFERENCE

    Black

    1.024

    0.734

    1.428

    0.891

    Hispanic

    1.298

    0.925

    1.821

    0.131

    Asian

    1.232

    0.687

    2.207

    0.484

    Native American

    1.286

    0.475

    3.484

    0.62

    Other

    1.328

    0.773

    2.279

    0.304

    DM

    0.986

    0.785

    1.238

    0.901

    HTN

    0.881

    0.717

    1.083

    0.228

    Dyslipidemia

    0.905

    0.734

    1.116

    0.352

    Overweight BMI 25 to 29.9

    1.092

    0.578

    2.061

    0.787

    Obesity BMI 30 +

    0.996

    0.748

    1.326

    0.98

    CKD3-5

    1.321

    0.955

    1.827

    0.093

    ESRD

    2.148

    1.334

    3.46

    0.002

    Smoking

    1.084

    0.879

    1.337

    0.45

    CAD

    0.725

    0.591

    0.89

    0.002

    Supplementary Material:

    Table 1: ICD-10 Codes for all study outcomes

    Variable

    ICD-10 Codes

    Takotsubo and Stress Cardiomyopathy

    I5181, I4283

    Inflammatory Bowel Disease (IBD)

    K500, K501, K508, K509, K51

    Diabetes Mellitus

    E08, E09, E10, E11, E13

    Hypertension (HTN)

    I10

    Dyslipidemia (DLD)

    E780, E781, E782, E783, E784, E785

    Overweight BMI 25 to 29.9 kg/m²

    Z6825, Z6826, Z6827, Z6828, Z6829, E663

    Obesity BMI 30 + kg/m²

    Z6830, Z6831, Z6832, Z6833, Z6834, E66811, Z6835, Z6836, Z6837, Z6838, Z6839, E66812, Z684, E66813

    Smoking

    F17200, Z87891

    Chronic Kidney Disease (CKD) Stage 3-5

    N183, N184, N185

    End-Stage Renal Disease (ESRD)

    N186

    Coronary Artery Disease (CAD)

    I2510, I252, I258, I259

    Intubation

    0BH17EZ, 0BH18EZ, 5A1935Z, 5A1945Z, 5A1955Z

    Cardiac arrest

    I462, I468, I469

    Arterial line

    4A133B1

    Cardiogenic Shock

    R570

    Central line

    06HN33Z, 06HM33Z, 05H633Z, 05H533Z, 05HN33Z,

    05HM33Z, 05HM3DZ

    Left Ventricle thrombus

    I513

    Vasopressors

    3E033XZ, 3E043XZ

    Extracorporeal membrane oxygenation (ECMO)

    5A1522, 5A15A2

    Impella

    5A0211D, 5A0221D

    Acute Kidney Injury (AKI)

    N17

    Acute pulmonary edema

    J810

    Cardiac Tamponade

    I314

Citation:  Khan MA, Sattarzadeh A, Lahoud C, Sayegh SEI (2026). Clinical Outcomes of Takotsubo Cardiomyopathy in Patients with Inflammatory Bowel Disease. J. Cardiovasc. Care Res. Vol.1 Iss.1, July (2026), pp:1-14.
Copyright: © 2026 Muhammad Ahmed Khan, Aysan Sattarzadeh, Chloe Lahoud, Suzanne El-Sayegh. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.