@article {Li1508, author = {Pengyang Li and Chengyue Jin and Can Cui and Peng Cai and Shamita Alisa Manohar and Ling Jin and Xin Wei and Su Pan and Richard A F Dixon and Qi Liu}, title = {Impact of family history of coronary artery disease on clinical outcomes in Takotsubo cardiomyopathy}, volume = {70}, number = {7}, pages = {1508--1512}, year = {2022}, doi = {10.1136/jim-2021-002186}, publisher = {BMJ Publishing Group Limited}, abstract = {Family history of coronary artery disease (FHxCAD) is a critical risk factor for CAD, underscoring the contribution of genetic factors to disease pathogenesis and susceptibility. Takotsubo cardiomyopathy (TCM) simulates the clinical features of and frequently coexists with CAD. However, the association between FHxCAD and TCM is unclear. Here, we retrospectively examined the impact of FHxCAD on in-hospital outcomes of patients with TCM. Using the National Inpatient Sample database (2016{\textendash}2018), we identified 4733 patients admitted to hospital with a primary diagnosis of TCM. We compared in-hospital outcomes and complications between TCM patients with (n=646, 13.7\%) and without FHxCAD (n=646) in the unmatched and in a propensity-score matched cohort (1:1 ratio). TCM with FHxCAD patients had a reduced incidence of cardiogenic shock, acute kidney injury (AKI), and acute respiratory failure (ARF); lower mortality rates; shorter length of stay (LOS); and decreased total charge compared with TCM without FHxCAD patients (p\<0.05). In the matched cohort, TCM with FHxCAD patients (vs TCM without FHxCAD patients) had a lower incidence of cardiogenic shock (2.2\% vs 6.3\%, p\<0.001; OR 0.33, 95\% CI 0.18 to 0.61), AKI (5.1\% vs 8.7\%, p=0.016; OR 0.57, 95\% CI 0.36 to 0.88), and ARF (5.7\% vs 12.7\%, p\<0.001; OR 0.42, 95\% CI 0.28 to 0.63); decreased in-hospital mortality (\<11\% vs 3.1\%, p=0.002; OR 0.2, 95\% CI 0.07 to 0.57); shorter LOS (2.66{\textpm}1.96 days vs 3.40{\textpm}3.05 days, p\<0.001); and a reduced total charge (p=0.001), respectively. FHxCAD was associated with favorable outcomes in both unmatched and propensity-matched cohorts.Data are available in a public, open access repository. Reference 20: Agency for Healthcare Research and Quality. HCUP Databases. Healthcare Cost and Utilization Project (HCUP) (website). August 2018. Available at: www.hcup-us.ahrq.gov/nisoverview.jsp. Accessed 13 December 2018.}, issn = {1081-5589}, URL = {http://hw-f5-jim.highwire.org/content/70/7/1508}, eprint = {http://hw-f5-jim.highwire.org/content/70/7/1508.full.pdf}, journal = {Journal of Investigative Medicine} }