Antimicrobials administration time in patients with suspected sepsis: is faster better? An analysis by propensity score

Table 4 Effect of each hour of delay in the administration of antimicrobials since admission to the ED on in-hospital mortality

Models	Type of logistic regression
	No adjustment	Adjusted for covariates
	OR (95% CI)	OR (95% CI)
Models with total population (n = 2215)	0.98 (0.96; 1.01)	1.00^* (0.97; 1.03)
Models with confirmed infection (n = 1751)	0.98 (0.96; 1.01)	1.00^** (0.97; 1.03)
Models with not confirmed infection (n = 464)	1.00 (0.94; 1.07)	1.03^** (0.95; 1.10)
Models with adequate antibiotics (n = 1802)	0.98 (0.95; 1.01)	1.01^*** (0.97; 1.03)
Models with not adequate antibiotics (n = 413)	0.99 (0.94; 1.05)	1.01^*** (0.95; 1.07)
Models with shock—Rivers (n = 830)	0.99 (0.96; 1.03)	1.01^* (0.96; 1.05)
Models with shock—Sepsis-3 (n = 179)	1.06 (0.98; 1.14)	1.03^* (0.94; 1.12)

^*Covariates: age, Charlson Index, intravenous fluids ≥ 1500 first hour, blood cultures in the first 3 h, lactate, SOFA score, APACHE II score, confirmed diagnosis of infection, and inadequate antimicrobials
^**Covariates: age, Charlson Index, intravenous fluids ≥ 1500 first hour, blood cultures in the first 3 h, lactate, SOFA score, APACHE II score, and inadequate antimicrobials
^***Covariates: age, Charlson Index, intravenous fluids ≥ 1500 first hour, blood cultures in the first 3 h, lactate, SOFA score, APACHE II score, and confirmed diagnosis of infection

ISSN: 2052-0492