Combination of five clinical data as prognostic factors of mortality after ischemic stroke

Journal Title: Universa Medicina - Year 2017, Vol 36, Issue 1

Abstract

Background The mortality rate after ischemic stoke is influenced by various factors. Prognosis after ischemic stroke can be predicted using a scoring system to help the doctor to evaluate patient’s condition, neurologic deficits, and possible prognosis as well as make appropriate management decisions. The objective of this study was to identify the factors which determine mortality rates in patients after ischemic stroke and to determine the prognosis of ischemic stroke patients using the predictive mortality score. Methods This was a nested case control study using data from the stroke registry and medical records of patients at the Neurology Clinic of Bethesda Hospital Yogyakarta between 2011-2015. Data was analysed using simple and multiple logistic regression analysis. The scoring was analyzed using receiver-operating characteristic (ROC) curve and the cut-off point using area under the curve (AUC). Results Multiple logistic regression analysis showed a significant association between mortality of ischemic stroke patients and age (OR: 4.539, 95% CI: 1.974-10.439, p<0.001), random blood glucose (OR: 2.692, 95% CI: 1.580-4.588, p<0.001), non-dyslipidemia (OR: 2.313, 95% CI: 1.395-3.833, p=0.001), complications (OR: 1.609, 95% CI: 1.019-2.540, p=0.041), risk of metabolic encephalopathy (OR: 2.499, 95% CI: 1.244-5.021, p=0.010) and use of ventilators (OR: 17.278, 95% CI: 2.015-148.195, p=0.009). Conclusions Age, high random blood glucose level, complications, metabolic encephalopathy risk and the use of ventilators are associated with mortality after ischemic stroke. The predictive mortality score can be used to assess the prognosis of patients with ischemic stroke.

Authors and Affiliations

Rizaldy Taslim Pinzon, Fransiska Theresia Meivy Babang, Esdras Ardi Pramudita

Keywords

Related Articles

Glycemic control for prevention vascular complication in diabetic patient

Patients with type 1 diabetes (T1D) and type 2 diabetes (T2D) show an increased risk of vascular complications such as cardiovascular disease and an increased mortality rate resulting in a decrease in life expectancy of...

Males tend to come earlier for eye care with the National Health Coverage Programme in private hospitals

Background Cataract is the leading cause of blindness in Indonesia, and poverty is a major barrier to having cataract surgery. Increasing the proportion of adults that have regular, comprehensive eye examinations for cat...

Zinc deficiency as risk factor for stunting among children aged 2-5 years

Background Stunting is a nutritional problem in the form of linear growth disturbance caused by low intake of macro- and micronutrients. The prevalence of stunting in children aged 2-5 years in Semarang is higher in wel...

Centella asiatica ethanol extract increases hippocampal brain derived neurotrophic factor in male Wistar rats

Background Synaptic plasticity, which primarily takes place in the hippocampus, is the molecular basis of long- term memory formation. Brain derived neurotrophic factor (BDNF), a member of the neurotrophin family, plays...

Consumption of elicited soybean sprout flour increases calcium level in serum of ovariectomized rats

Background The decline in estrogens could lead to an imbalance of bone formation and absorption as well as bone mineralization. Phytoestrogens are known to have the potential to maintain bone health. Calcium and phosphor...

Download PDF file
  • EP ID EP383190
  • DOI 10.18051/UnivMed.2017.v36.68-76
  • Views 154
  • Downloads 0

How To Cite

Rizaldy Taslim Pinzon, Fransiska Theresia Meivy Babang, Esdras Ardi Pramudita (2017). Combination of five clinical data as prognostic factors of mortality after ischemic stroke. Universa Medicina, 36(1), 68-76. https://europub.co.uk/articles/-A-383190