Cardiac abnormalities after subarachnoid hemorrhage (SAH) such as electrocardiographic changes, echocardiographic wall motion abnormalities, and elevated troponin levels are independently associated with a poor prognosis. They are caused by catecholaminergic stress coinciding with influx of inflammatory cells into the heart. These abnormalities could be a sign of a myocarditis, potentially giving insight in pathophysiology and treatment options. These inflammatory cells are insufficiently characterized, and it is unknown whether myocarditis is associated with SAH. Myocardium of 25 patients who died of SAH and 18 controls was stained with antibodies identifying macrophages (CD68), lymphocytes (CD45), and neutrophil granulocytes (myeloperoxidase). Myocytolysis was visualized using complement staining (C3d). CD31 was used to identify putative thrombi. We used Mann-Whitney U testing for analysis.In the myocardium of SAH patients, the amount of myeloperoxidase-positive (P <.005), CD45-positive (P <.0005), and CD68-positive (P <.0005) cells was significantly higher compared to controls. Thrombi in intramyocardial arteries were found in 22 SAH patients and 1 control. Myocytolysis was found in 6 SAH patients but not in controls.Myocarditis, consisting of an influx of neutrophil granulocytes, lymphocytes, and macrophages, coinciding with myocytolysis and thrombi in intramyocardial arteries, occurs in patients with SAH but not in controls. These findings might explain the cardiac abnormalities after SAH and may have implications for treatment.

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doi.org/10.1016/j.jcrc.2015.12.005, hdl.handle.net/1765/90723
Journal of Critical Care: improving patient care by integrating critical care systems knowledge into practice behavior
Department of Pathology

van der Bilt, I., Vendeville, J.-P., van de Hoef, T. P., Begieneman, M. P., Lagrand, W., Kros, J., … Niessen, H. W. M. (2016). Myocarditis in patients with subarachnoid hemorrhage: A histopathologic study. Journal of Critical Care: improving patient care by integrating critical care systems knowledge into practice behavior, 32, 196–200. doi:10.1016/j.jcrc.2015.12.005