Sanderson, Miriam, Chikhani, Marc, Blyth, Esme, Wood, Sally, Moppett, Iain K., McKeever, Tricia and Simmonds, Mark J.R.
(2018)
Predicting 30-day mortality in patients with sepsis: an exploratory analysis of process of care and patient characteristics.
Journal of the Intensive Care Society
.
ISSN 1751-1437
Full text not available from this repository.
Abstract
Background
Sepsis represents a significant public health burden, costing the NHS £2.5 billion annually, with 35% mortality in 2006. The aim of this exploratory study was to investigate risk factors predictive of 30-day mortality amongst patients with sepsis in Nottingham.
Methods
Data were collected prospectively from adult patients with sepsis in Nottingham University Hospitals NHS Trust as part of an on-going quality improvement project between November 2011 and March 2014. Patients admitted to critical care with the diagnosis of sepsis were included in the study. In all, 97 separate variables were investigated for their association with 30-day mortality. Variables included patient demographics, symptoms of systemic inflammatory response syndrome, organ dysfunction or tissue hypoperfusion, locations of early care, source of sepsis and time to interventions.
Results
A total of 455 patients were included in the study. Increased age (adjOR = 1.05 95%CI = 1.03–1.07 p < 0.001), thrombocytopenia (adjOR = 3.10 95%CI = 1.23–7.82 p = 0.016), hospital-acquired sepsis (adjOR = 3.34 95%CI = 1.78–6.27 p < 0.001), increased lactate concentration (adjOR = 1.16 95%CI = 1.06–1.27 p = 0.001), remaining hypotensive after vasopressors (adjOR = 3.89 95%CI = 1.26–11.95 p = 0.02) and mottling (adjOR = 3.80 95%CI = 1.06–13.55 p = 0.04) increased 30-day mortality odds. Conversely, fever (adjOR = 0.46 95%CI = 0.28-0.75 p = 0.002), fluid refractory hypotension (adjOR = 0.29 95%CI = 0.10–0.87 p = 0.027) and being diagnosed in surgical wards (adjOR = 0.35 95%CI = 0.15–0.81 p = 0.015) were protective. Treatment timeliness were not significant factors.
Conclusion
Several important predictors of 30-day mortality were found by this research. Retrospective analysis of our sepsis data has revealed mortality predictors that appear to be more patient-related than intervention-specific. With this information, care can be improved for those identified most at risk of death.
| Item Type: |
Article
|
| RIS ID: |
https://nottingham-repository.worktribe.com/output/912761 |
| Additional Information: |
The final, definitive version of this paper has been published in Journal of the Intensive Care Society, [Vol/Issue], February 2018 published by SAGE Publishing, All rights reserved. |
| Keywords: |
Sepsis; Mortality; Survival; Prediction; Epidemiology |
| Schools/Departments: |
University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine > Division of Epidemiology and Public Health
University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine > Division of Clinical Neuroscience
University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine |
| Identification Number: |
10.1177/1751143718758975 |
| Depositing User: |
Claringburn, Tara
|
| Date Deposited: |
24 Jan 2018 16:33 |
| Last Modified: |
15 Aug 2024 15:26 |
| URI: |
https://eprints.nottingham.ac.uk/id/eprint/49318 |
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