Sepsis incidence and mortality are underestimated in Australian intensive care unit administrative data
Authors: Jake C Valentine, Gabrielle Haeusler, Leon Worth and Karin Thursky
Published online: 4 March 2019
Notwithstanding, we propose that the application of a third surveillance metric using coded discharge data could be a viable alternative for sepsis case ascertainment and monitoring in ICUs. International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification (ICD‐10‐AM) diagnostic coding data are feasible to collect with a reduced risk of sampling bias and minimal loss to follow‐up.
Using tandem dataset comparison following the implementation of a hospital‐wide sepsis pathway,4 we explored the utility of coding data for sepsis surveillance. We noted that 78% and 74% of ICU cases were designated an ICD‐10‐AM code denoting sepsis at admission and patient level, respectively (Box). Alarmingly, the concordance rate between coded administrative data and clinically verified sepsis diagnoses was even lower in non‐ICU settings. These data are in keeping with international reports.2
Robust and reproducible data are required to evaluate quality improvement regarding sepsis management. Given the poor sensitivity of research criteria and coding data, used in isolation for sepsis identification, a multifaceted approach is required. We hypothesise that the combination of administrative coding data and electronic medical record data, augmented with sepsis screening algorithms, may improve the sensitivity for sepsis case ascertainment in both cancer and non‐cancer settings.5 We encourage Heldens and colleagues to consider these suggestions as an alternative reproducible method needed to elucidate the incidence of sepsis and septic shock in Australian ICUs.
Box – Relationship between sepsis cases satisfying clinical criteria and designated coded discharge data in intensive care unit (ICU) and non‐ICU settings, 2012–2014
|
Year |
Admission level |
||||||||||||||
|
ICU |
Non‐ICU |
||||||||||||||
|
All new admissions* |
ICD‐10‐AM captured cases |
Concordance |
All new admissions* |
ICD‐10‐AM captured cases |
Concordance |
||||||||||
|
|
|||||||||||||||
|
2012 |
38 |
27 |
71% |
70 |
62 |
89% |
|||||||||
|
2013 |
39 |
34 |
87% |
175 |
103 |
59% |
|||||||||
|
2014 |
81 |
61 |
75% |
331 |
149 |
45% |
|||||||||
|
Mean (± SD) |
– |
– |
78% (± 8.3%) |
– |
– |
64% (± 22%) |
|||||||||
|
|
|||||||||||||||
|
ICD‐10‐AM = International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification; SD = standard deviation. * Clinically diagnosed sepsis cases according to consensus diagnostic criteria.◆ |
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Competing interests
No relevant disclosures.
Acknowledgements
We thank Professor Karin Thursky, custodian of the data presented in the Box.
References
- Heldens M, Schout M, Hammond NE, et al. Sepsis incidence and mortality are underestimated in Australian intensive care unit administrative data. Med J Aust 2018; 209: 255–260. https://www.mja.com.au/journal/2018/209/6/sepsis-incidence-and-mortality-are-underestimated-australian-intensive-care-unit
- Shankar‐Hari M, Harrison DA, Rubenfeld GD, Rowan K. Epidemiology of sepsis and septic shock in critical care units: comparison between sepsis‐2 and sepsis‐3 populations using a national critical care database. Br J Anaesth 2017; 119: 626–636.
- Bone RC, Balk RA, Cerra FB, et al. Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. Chest 1992; 101: 1644–1655.
- Thursky K, Lingaratnam S, Jayarajan J, et al. Implementation of a whole of hospital sepsis clinical pathway in a cancer hospital: impact on sepsis management, outcomes and costs. BMJ Open Qual 2018; 7: e000355.
- van Mourik MSM, Perencevich EN, Gastmeier P, Bonten MJM. Designing surveillance of healthcare‐associated infections in the era of automation and reporting mandates. Clin Infect Dis 2018; 66: 970–976.
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