Journal Article

Accuracy of the modified Global Burden of Disease International Classification of Diseases coding methods for identifying sepsis: a prospective multicentre cohort study

Rodda, Simon, van Haren, Frank M. P., Sridharan, Swathi, Iskandar, Mark, Anderson, Belinda, Lam, Matthew, Bhonagiri, Deepak, Sigurdson, Bridget, Hu, David, Bradford, Celia, Buckley, Alexander, Aneman, Anders, Inskip, Deborah, Billot, Laurent, Saxena, Manoj, Kwok, Raymond, Tsang, Lewis, McNulty, Richard, Reece, Graham, Li, Sandra, Frost, Sarah, Connor, Giuliana, Delaney, Anthony, Bass, Francess, Shan, Sana, Shetty, Kavitha, Kumar, Ashwani, Finfer, Simon, Thompson, Kelly, Yu, Christopher, Fuller, Garnette, Sadeghpour, Maeda, Mackellar, Candice, Headington, Tori, Sidoli, Rebecca, Venkatesh, Bala, Li, Yang, Middleton, Paul M., Klironomos, Anthony, Hammond, Naomi, Zou, Angela

2025

Overview

Background This study assessed the accuracy of three International Classification of Diseases (ICD) codes methods derived from Global Burden of Disease (GBD) sepsis study (modified GBD method) in identifying sepsis, compared to the Angus method. Sources of errors in these methods were also reported. Methods Prospective multicentre, observational, study. Emergency Department patients aged ≥ 16 years with high sepsis risk from nine hospitals in NSW, Australia were screened for clinical sepsis using Sepsis 3 criteria and coded as having sepsis or not using the modified GBD and Angus methods. The three modified GBD methods were: Explicit —sepsis-specific ICD code recorded; Implicit —sepsis-specific code or infection as primary ICD code plus organ dysfunction code; Implicit plus —as for Implicit but infection as primary or secondary ICD code. Agreement between clinical sepsis and ICD coding methods was assessed using Cronbach alpha (α). For false positive cases (ICD-coded sepsis but not clinically diagnosed), the ICD codes leading to those errors were documented. For false negatives (clinically diagnosed sepsis but ICD-coded), uncoded sources of infection and organ dysfunction were documented. Results Of 6869 screened patients, 450 (median age 72.4 years, 48.9% females) met inclusion criteria. Clinical sepsis was diagnosed in 215/450 (47.8%). The explicit, implicit, implicit plus and Angus methods identified sepsis in 108/450 (24.0%), 175/450 (38.9%), 222/450 (49.3%) and 170/450 (37.8%), respectively. Sensitivity was 41.4%, 58.1%, 67.4% and 55.8%, and specificity 91.9%, 78.7%, 67.2% and 79.1%, respectively. Agreement between clinical sepsis and all ICD coding methods was low (α = 0.52–0.56). False positives were 19, 50, and 77, while false negatives were 126, 90, and 70 for the explicit, implicit, and implicit plus methods, respectively. For false positive cases, unspecified urinary tract infection, hypotension and acute kidney failure were commonly assigned infection and organ dysfunction codes. About half (44.3%-55.6%) of the false negative cases didn’t have a pathogen documented. Conclusion The modified GBD method demonstrated low accuracy in identifying sepsis; with the implicit plus method being the most accurate. Errors in identifying sepsis using ICD codes arise mostly from coding for unspecified urinary infections and associated organ dysfunction. Trial registration The study was registered at the ANZCTR (ACTRN12621000333819) on 24 March 2021.

• Publisher: BioMed Central,BioMed Central Ltd,Springer Nature B.V
• Subject: Accuracy / Adult / Aged / Aged, 80 and over / Clinical Coding - methods / Clinical Coding - standards / Codes / Coding standards / Cohort analysis / Cohort Studies / Critical Care Medicine / Emergency medical care / Emergency Medicine / Emergency Service, Hospital - organization & administration / Emergency Service, Hospital - statistics & numerical data / Epidemiology / Estimates / Fatalities / Female / Global Burden of Disease / Hospitals / Humans / Infection / Infections / Intensive / International Classification of Diseases - standards / Male / Medical records / Medical research / Medicine / Medicine & Public Health / Medicine, Experimental / Methods / Middle Aged / New South Wales / Patients / Prospective Studies / Sepsis / Sepsis - classification / Sepsis - diagnosis / Sepsis - epidemiology