Palliative care after stroke.

Stroke is the leading cause of disability and one of the most common reasons of death around the world. Information is not sufficient on the palliative care (PC) needs of stroke patients and factors affecting their prognosis. In this study, we have investigated the demographics and comorbidities of stroke patients followed-up in a PC center (PCC), and the factors efficient on their prognosis. Medical records of 132 patients followed-up in PCC with stroke diagnosis between years 2016 and 2017 were reviewed retrospectively. Patients diagnosed with stroke were grouped as ischemic stroke, intracerebral hematoma (ICH) and subarachnoid hemorrhage (SAH). Age, gender, PCC hospitalization period (LOS), Glasgow Coma Scale, comorbidities such as percutaneous endoscopic gastrostomy, tracheostomy, pressure ulcer (PU), and discharge status (home, intensive care unit, exitus) have been compared for the patients included in the study. While average age was 72.41 ± 16.03 and hospitalization period was 35.47 ± 36.13 days, 92 patients (69.7%) were diagnosed with ischemic stroke, 20 patients (15.2%) with ICH, and 20 patients (15.2%) were diagnosed with SAH. The rate of exitus in patients diagnosed with ischemic stroke was significantly higher than patients diagnosed with ICH and SAH (p = 0.02), and hypertension rate was higher in patients with ischemic stroke than patients diagnosed with SAH (p = 0.007). The age of patients with exitus were found to be significantly higher (p = 0.001). Length of stay (LOS) in PC was determined to be significantly higher in patients with tracheostomy and patients diagnosed with ICH compared to patients with SAH. Furthermore, PU rate was significantly higher in patients diagnosed with ICH than patients with SAH (p = 0.007). Patients who experienced stroke and their families need comprehensive palliative care for psychosocial support, determination of patient-focused care objectives, and symptom management. There is a need for studies on larger populations to eliminate prognostic uncertainties and provide successful symptom management in patients following stroke.