Pre-hospital Prognostic Factors of 30-Day Survival in Sepsis Patients; a Retrospective Cohort Study
- PMID: 37609537
- PMCID: PMC10440748
- DOI: 10.22037/aaem.v11i1.2029
Pre-hospital Prognostic Factors of 30-Day Survival in Sepsis Patients; a Retrospective Cohort Study
Abstract
Introduction: According to excising findings, if the emergency management system (EMS) operation will be developed, the survival outcome of sepsis patients might improve. This study aimed to evaluate the pre-hospital associated factors of survival in sepsis patients.
Methods: This retrospective cohort study was conducted on patients diagnosed with sepsis, coded with the Thailand emergency medical triage protocol and criteria-based dispatch symptom group 17. Information on the 30-day survival rate of patients was obtained from the electronic medical records. Pre-hospital factors associated with 30-day survival were analyzed using univariate and multivariate logistic regression analyses and were reported using odds ratio (OR) with 95% confidence interval (CI).
Results: 300 patients diagnosed with sepsis were enrolled. Among them, 232 (77.3%) survived within 30 days. Non-survived cases had significantly older age (p = 0.019), lower oxygen saturations (92.5% vs. 95.0%; p = 0.003), higher heart rate (p = 0.001), higher respiratory rate (p < 0.001), lower level of consciousness (p < 0.001), higher disease severity based on qSOFA score (p = 0.001), and higher need for invasive airway management (p = 0.001) and supplementary oxygen (p = 0.001). The survival rate improved by 3.5% with every 1% increase in pre-hospital oxygen saturation (adjusted OR = 1.035, 95% CI: 1.005-1.066, p = 0.020) and the survival probabilities of patients who responded to voice (adjusted OR = 0.170, 95% CI: 0.050-0.579, p = 0.005), those who responded to pain (adjusted OR = 0.130, 95% CI: 0.036-0.475, p = 0.002), and those who were unresponsive (adjusted OR = 0.086, 95% CI: 0.026-0.278, p-value < 0.001) were lower than patients who were alert.
Conclusion: The 30-day survival rate of patients with sepsis managed by the EMS team was 77.3%. Pre-hospital oxygen saturation and level of consciousness were associated with the survival of patients with sepsis who were managed in the pre-hospital setting.
Keywords: Emergency medical services; emergency treatment; sepsis; survival.
Conflict of interest statement
The authors have no conflicting interests to declare.
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References
-
- Stoller J, Halpin L, Weis M, Aplin B, Qu W, Georgescu C, et al. Epidemiology of severe sepsis: 2008-2012. J Crit Care. 2016;31(1):58–62. - PubMed
-
- Alberti C, Brun-Buisson C, Goodman SV, Guidici D, Granton J, Moreno R, et al. Influence of systemic inflammatory response syndrome and sepsis on outcome of critically ill infected patients. Am J Respir Crit Care Med. 2003;168(1):77–84. - PubMed
-
- Fleischmann C, Scherag A, Adhikari NK, Hartog CS, Tsaganos T, Schlattmann P, et al. Assessment of global incidence and mortality of hospital-treated sepsis Current estimates and limitations. Am J Respir Crit Care Med. 2016;193(3):259–72. - PubMed
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