Factors Predicting Sepsis in The Medication Patients

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Lamai Panumgul
Wimonlrat Puwarawuttipanit
Autchariya Poungkaew
Young Rongrungruang

Abstract

Purpose: To investigate the prediction of nutrition status, sleep quality, the 2nd dose antibiotic timing, and blood sugar levels on sepsis in medical patients.


Design: correlational predictive design.


Methods: The sample included 126 patients aged 18 years and older, who were diagnosed of sepsis by physician or were diagnosed with 2 out of 4 symptoms of systemic inflammatory response syndrome, and were admitted to the medical ward at a tertiary hospital in Nonthaburi province between April and May 2020. The questionnaires included the demographic and history of illness recording form, Nutrition Assessment Form, Veran and Snyder-Halpern Sleep Quality Assessment, and Organ Failure Assessment score. Data were analysed by using descriptive statistics and multiple regression.


Main findings: The study findings revealed that the majority of the sample were male, (72.2%), with average age of 67.87 years. Nutritional status, sleep quality, the 2nd dose antibiotic timing and blood sugar levels could individually predict the sepsis at significance level .05 when controlling for the others. All of the study factors could together account for 56% of the variance explained in the sepsis (R2 = .56).


Conclusion and recommendations: According to the study findings, nutritional status, sleep quality, the 2nd dose antibiotic timing, and blood sugar levelshave an effect on sepsis. So, nurses should closely monitor blood sugar levels of the patients, continuously assess and promote their nutritional status and sleep quality as well as avoid the delay of 2nd dose antibiotics given to reduce sepsis and septic shock.

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How to Cite
Panumgul, L., Puwarawuttipanit, W., Poungkaew, A., & Rongrungruang, Y. (2021). Factors Predicting Sepsis in The Medication Patients. Nursing Science Journal of Thailand, 39(3), 74–90. Retrieved from https://he02.tci-thaijo.org/index.php/ns/article/view/247243
Section
Research Papers

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