. Author manuscript; available in PMC: 2014 Apr 1.

Published in final edited form as: Crit Care Med. 2013 Apr;41(4):10.1097/CCM.0b013e31827466f1. doi: 10.1097/CCM.0b013e31827466f1

Table 2.

Sensitivities of two different code abstraction methods for identifying cases of severe sepsis and septic shock determined by patient-level data.

Code Abstraction Method	Sensitivity to Identify Severe Sepsis Cases, n=1735^*	(95% CI)
1. Severe Sepsis (ICD-9 specific coding method, 995.92)	20.5%	(18.6% – 22.4%)
2. Combining End-Organ Dysfunction and Infection Codes (the Angus Coding Method)	47.2%	(44.8% – 49.5%)
	Sensitivity to Identify Septic Shock Cases, n=321^*	(95% CI)
1. Severe Sepsis (ICD-9 specific coding method, 995.92)	49.5%	(44.0% – 55.0%)
2. Septic Shock (ICD-9 specific coding method, 785.52)	42.4%	(37.0% – 47.8%)
3. Combining End-Organ Dysfunction and Infection Codes (the Angus Coding Method)	75.1%	(70.4% – 79.8%)

Categorical data are presented as proportions.

Cases of septic shock (n=321) were encompassed within the severe sepsis (n=1735) population.