Troponins in Tako-tsubo Cardiomyopathy

Large Vessel Stroke Following Multiple Other Strokes and Cardiomyopathy in a Forty-Nine-Year-Old COVID-19 Patient

The novel coronavirus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has made its presence known on the centerstage of worldwide healthcare in 2020. Although it is widely known about its pulmonary presence and ensuing complications, evidence is emerging that there are other organ systems including the cardiovascular and cerebrovascular systems that may be damaged by this virus. There have been reports of large vessel stroke occurring in coronavirus disease 2019 (COVID-19) positive patients, with very few reported in the age group less than 50 years. In this case, we describe a previously healthy 49-year-old male who presented with signs of stroke, and was found to have the novel coronavirus as he had been suffering from upper respiratory tract symptoms for 3 weeks. He subsequently developed further large vessel stroke while in the hospital despite being started on antiplatelet therapy. He was also found to have new onset cardiomyopathy. He was started on anticoagulation and discharged with follow-up for cardiomyopathy testing outpatient. This case begs the question on which anticoagulation to utilize in COVID-19 positive patients to be effective in preventing thrombotic events. It is postulated that a pro-inflammatory state induced by the virus and the virus’ affinity for angiotensin converting enzyme-2 receptors in the cerebral vasculature are predispositions to cause a stroke. The virus also directly damages cardiac myocytes causing a number of cardiac complications including cardiomyopathy. It is crucial that guidelines on anticoagulation choice and indications for when to start anticoagulation be developed in order to prevent the more devastating consequences of thrombosis and embolism and their subsequent clinical sequelae.

Simple markers can distinguish Takotsubo cardiomyopathy from ST segment elevation myocardial infarction

BACKGROUND

Takotsubo cardiomyopathy (TTC) is a clinical condition mimicking acute myocardial infarction. A specific biomarker for TTC screening is required, but until now, no single biomarker has been established for the early diagnosis of TTC and differentiation from ST-segment elevation myocardial infarction (STEMI). In our study we focused on the simple markers that are available in every hospital.

METHODS

In 66 consecutive patients (pts) who were hospitalized with TTC and 66 pts with STEMI, cardiac biomarkers, such as NT-proBNP, TnI, CK and CKMB mass were determined during 12h from admission and compared with demographic, clinical and echocardiographic findings.

RESULTS

The concentration of NTproBNP was greater in pts with TTC than STEMI (4702pg/ml vs 2138pg/ml). The concentration of TnI and CKMB mass was greater in the STEMI group than in the TTC group (TnI: 2.1ng/ml and CK MB mass: 9.5ng/ml in pts with TTC vs TnI: 19ng/ml and CK MB mass: 73.3ng/ml in pts with STEMI). The NTproBNP/TnI ratio and NTproBNP/CKMB mass ratio were, respectively, 2235.2 and 678.2 in pts with TTC and 81.6 and 27.5 in pts with STEMI (p<0.001). Moreover, the NTproBNP/EF ratio was also statistically significant (110.4 in TTC group and 39.4 in STEMI group).

CONCLUSIONS

NTproBNP/TnI, NTproBNP/CKMB mass and NTproBNP/EF ratios can distinguish TTC from STEMI at an early stadium. The most accurate marker is the NTproBNP/TnI ratio.

Soluble ST2 and troponin I combination: Useful biomarker for predicting development of stress cardiomyopathy in patients admitted to the medical intensive care unit

OBJECTIVE

Stress cardiomyopathy (SCM) sometimes develops in patients with non-cardiac medical illness. We hypothesized that soluble suppression of tumorigenicity 2 (sST2) can predict SCM.

METHODS

In 76 patients admitted to non-cardiac medical intensive care unit (MICU), echocardiography and sST2 were assessed on admission day (D0) and on the third day (D2). Cardiac troponin I (cTnI) and B-type natriuretic peptide (BNP) were measured on D0.

RESULTS

The SCM group (21%, 16/76) showed significantly higher cTnI, BNP, sST2 (D2), and sST2 changes than the non-SCM group. In receiver operator characteristics curve analysis, they equally predicted SCM. In 65 patients with normal cTnI, sST2 (D2) and sST2 changes predicted SCM better than cTnI or BNP.

CONCLUSION

Follow-up sST2 and the change in sST2 have additional predictive value for SCM in patients with normal cTnI. A combination strategy of sST2 and cTnI would be useful to predict SCM in patients admitted to the MICU.