Factors Predicting Systemic Inflammatory Response Syndrome in Cranial Surgery Patients

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เบญจกาย ตรีถูกแบบ วัลย์ลดา ฉันท์เรืองวณิชย์ อรพรรณ โตสิงห์ ธีรพล วิทธิเวช

Abstract

     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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1.
ตรีถูกแบบเ, ฉันท์เรืองวณิชย์ว, โตสิงห์อ, วิทธิเวชธ. Factors Predicting Systemic Inflammatory Response Syndrome in Cranial Surgery Patients. Thai Journal of Nursing Council [Internet]. 23Apr.2019 [cited 12Dec.2019];34(2):94-11. Available from: https://www.tci-thaijo.org/index.php/TJONC/article/view/159993
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