Abstract 4140786: The Outcomes of Takotsubo Cardiomyopathy Patients with Psychiatric Disorders: A Global Retrospective Analysis using TriNetX

Background: High prevalence of psychiatric disorders (PD) is seen in Takotsubo cardiomyopathy (TC). Existing literature presents conflicting results but often identifies worse outcomes in patients with PD who develop TC. Primary limitations of those studies were relatively small sample sizes and insufficient matching for confounders. Therefore, we used a global database to determine differences in outcomes in TC patients with and without PD. Methods: We queried the TriNeTX Global collaborative network for adults diagnosed with TC between 2013 and 2023. We excluded patients with confounding diagnoses occurring 5 days before or after TC diagnosis and created two cohorts based on PD diagnosis. ICD-10 codes for PD included were: psychotic, mood and anxiety disorders. Propensity score matching (PSM) was conducted for over 50 covariates. After PSM, logistic regression was used to calculate odds ratios (OR) and 95% confidence intervals. The primary endpoints were all-cause mortality, 4-point MACE and ICU admissions at 30 days, 90 days and 1 year. Acute appendicitis was used as a falsification endpoint. Result: The sample population had 10864 patients in the cohort with diagnosed TC and PD (Cohort 1) and 11,997 patients with TC without PD (Cohort 2). Before propensity score matching (PSM), Cohort 1 had significantly increased odds of ICU admissions (OR 1.32, 95%CI, 1.22-1.43) and 4-point MACE (OR 1.34, 95%CI, 1.26-1.44) but not all-cause mortality (OR 0.98, 95%CI, 0.88-1.09) at 30 days [Table 1]. After propensity score matching (PSM), both cohorts had 7,074 patients. Analysis post-PSM showed Cohort 1 had significantly lower odds of all primary outcomes compared to Cohort 2 at 30 days: All-cause mortality (OR 0.75; 95%CI, 0.66-0.86), 4 point MACE (OR 0.86; 95%CI, 0.79-0.94), and ICU admission (OR 0.88; 95%CI 0.80-0.97). These lower odds persisted at 90 days and 1 year. Conclusion: After extensive propensity score matching to eliminate confounders, there are reduced odds of 4-point MACE, all-cause mortality, cardiogenic shock and cardiac arrest in TC with PD cohort suggesting that patients with PD and TC have better cardiovascular outcomes if appropriately matched to a cohort with similar baseline characteristics.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4140786
Primary Topic
Takotsubo Cardiomyopathy and Associated Phenomena
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4140786: The Outcomes of Takotsubo Cardiomyopathy Patients with Psychiatric Disorders: A Global Retrospective Analysis using TriNetX

Anderson Anuforo, Kan Liu, Muhammad Touqeer Hanif, Cynthia C. Taub et al.
Circulation
Takotsubo Cardiomyopathy and Associated Phenomena
article

Abstract 4140786: The Outcomes of Takotsubo Cardiomyopathy Patients with Psychiatric Disorders: A Global Retrospective Analysis using TriNetX

Anderson Anuforo, Kan Liu, Muhammad Touqeer Hanif, Cynthia C. Taub, Rohan Kumar Ochani, Nikita Gupta, Sahana Devakumar
article en

Abstract

Background: High prevalence of psychiatric disorders (PD) is seen in Takotsubo cardiomyopathy (TC). Existing literature presents conflicting results but often identifies worse outcomes in patients with PD who develop TC. Primary limitations of those studies were relatively small sample sizes and insufficient matching for confounders. Therefore, we used a global database to determine differences in outcomes in TC patients with and without PD. Methods: We queried the TriNeTX Global collaborative network for adults diagnosed with TC between 2013 and 2023. We excluded patients with confounding diagnoses occurring 5 days before or after TC diagnosis and created two cohorts based on PD diagnosis. ICD-10 codes for PD included were: psychotic, mood and anxiety disorders. Propensity score matching (PSM) was conducted for over 50 covariates. After PSM, logistic regression was used to calculate odds ratios (OR) and 95% confidence intervals. The primary endpoints were all-cause mortality, 4-point MACE and ICU admissions at 30 days, 90 days and 1 year. Acute appendicitis was used as a falsification endpoint. Result: The sample population had 10864 patients in the cohort with diagnosed TC and PD (Cohort 1) and 11,997 patients with TC without PD (Cohort 2). Before propensity score matching (PSM), Cohort 1 had significantly increased odds of ICU admissions (OR 1.32, 95%CI, 1.22-1.43) and 4-point MACE (OR 1.34, 95%CI, 1.26-1.44) but not all-cause mortality (OR 0.98, 95%CI, 0.88-1.09) at 30 days [Table 1]. After propensity score matching (PSM), both cohorts had 7,074 patients. Analysis post-PSM showed Cohort 1 had significantly lower odds of all primary outcomes compared to Cohort 2 at 30 days: All-cause mortality (OR 0.75; 95%CI, 0.66-0.86), 4 point MACE (OR 0.86; 95%CI, 0.79-0.94), and ICU admission (OR 0.88; 95%CI 0.80-0.97). These lower odds persisted at 90 days and 1 year. Conclusion: After extensive propensity score matching to eliminate confounders, there are reduced odds of 4-point MACE, all-cause mortality, cardiogenic shock and cardiac arrest in TC with PD cohort suggesting that patients with PD and TC have better cardiovascular outcomes if appropriately matched to a cohort with similar baseline characteristics.

CirculationVol. 150(Suppl_1)
SUNY Upstate Medical University (US), Washington University in St. Louis (US), Upstate University Hospital (US)
Good health and well-being
Openalex Percentile: Top 62%
Takotsubo Cardiomyopathy and Associated Phenomena
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.