Factors Predicting Systemic Inﬂammatory Response Syndrome in Cranial Surgery Patients
Objective: To study the predicting power of age, comorbidity, blood glucose and types of surgery on cranial surgery patients systemic inﬂammatory response syndrome (SIRS).
Design: Predictive correlational research.
Methodology: The sample consisted of 164 cranial surgery patients in the intensive care unit of a tertiary hospital. The study was conducted within the frst 24 hours after their operations. The research instruments were 1) a personal information form; 2) a comorbidity assessment form; and 3) a systemic inﬂammatory response syndrome (SIRS) scoring form. Binary Logistic Regression Analysis was employed for data analysis, with the level of statistical signifcance set at .05.
Results: The incidence of SIRS was found in 49.4% of the patients. Age and blood glucose levels were identifed as signifcant factors capable of predicting 24% of SIRS incidence (at .05, Nagelkerke R2 = .24, p < .01). Comorbidity and surgery types, on the other hand, were incapable of signifcantly predicting SIRS.
Recommendations: It is recommended that nurses apply the data on every cranial surgery patients age, blood glucose level and SIRS score to assessing their post-operative condition, as part of the process of monitoring all the risk-group patients for clinical signs of inﬂammation and alleviating their systemic inﬂammation.
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