| Title |
Sex differences of in-hospital outcome and long-term mortality in patients with Takotsubo cardiomyopathy
|
|---|---|
| Published in |
Therapeutics and Clinical Risk Management, July 2017
|
| DOI | 10.2147/tcrm.s131760 |
| Pubmed ID | |
| Authors |
KJ Weidner, I El-Battrawy, M Behnes, K Schramm, C Fastner, J Kuschyk, U Hoffmann, U Ansari, M Borggrefe, I Akin |
| Abstract |
Previous studies revealed that patients with Takotsubo cardiomyopathy (TTC) have a higher mortality rate than the general population. It is still unclear whether sex differences may influence long-term prognosis of TTC patients. The purpose of this study was to determine whether sex differences do influence the short- and long-term outcomes of TTC. A total of 114 patients with TTC were admitted to the University Medical Centre Mannheim from January 2003 to September 2015 and entered into the TTC database of the University Medical Centre Mannheim, and retrospectively analyzed. Patients were diagnosed by the Mayo Clinic criteria. All-cause mortality over mean follow-up of 1,529±1,121 days was revealed. Significantly more male patients died within long-term follow-up compared to female TTC patients (log-rank test; P=0.01). Most males died of noncardiac causes. In multivariate Cox regression analysis, the male sex (P=0.02, hazard ratio [HR] 2.8, 95% CI 1.1-7.2), the ejection fraction ≤35% (P=0.01, HR 3.3, 95% CI 1.2-9.2) and glomerular filtration rate <60 mL/min (P<0.01, HR 3.1, 95% CI 1.4-7.0) figured out as independent predictors of the adverse outcome. This study shows that males suffering from TTC reveal a higher long-term all-cause mortality rate than females over a 5 year follow-up period. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 33% |
| Venezuela, Bolivarian Republic of | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 15% |
| Researcher | 4 | 15% |
| Student > Ph. D. Student | 3 | 12% |
| Student > Postgraduate | 2 | 8% |
| Student > Master | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 9 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 42% |
| Agricultural and Biological Sciences | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Engineering | 1 | 4% |
| Unknown | 11 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 August 2017.
All research outputs
#14,605,790
of 25,382,440 outputs
Outputs from Therapeutics and Clinical Risk Management
#611
of 1,323 outputs
Outputs of similar age
#160,578
of 326,871 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#11
of 22 outputs
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