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. 2022 Jun 14;26:178. doi: 10.1186/s13054-022-04050-9

Table 2.

Demographics and clinical characteristics of critically ill patients undergoing antimicrobial dosing optimization through real-time ECPA-guided program

Patient demographic
Age (years) [median (IQR)] 66.5 (56.0–75.0)
Gender (male/female) [n (%)] 113/53 (68.1%/31.9%)
Body weight (kg) [median (IQR)] 75.0 (62.0–85.0)
Body mass index (kg/m2) [median (IQR)] 25.7 (22.0–28.3)
CLCR (mL/min/1.73 m2)a [median (IQR)] 55.0 (28.3–98)
Augmented renal clearance [n (%)] 16 (9.6%)
Vasopressors requirement [n (%)] 97 (58.4%)
Mechanical ventilation [n (%)] 137 (82.5%)
CRRT [n (%)] 44 (26.5%)
SOFA scorea [median (IQR)] 8 (4–12)
Setting [n (%)]
General ICU 111 (66.9%)
Post-transplant ICU 55 (33.1%)
Underlying disease for ICU admission [n (%)]
Acute respiratory failure 40 (24.1%)
Post-operatory sepsis 34 (20.5%)
Septic shock 29 (17.5%)
Abdominal perforation 27 (16.3%)
Solid organ transplant 11 (6.6%)
Hemorrhagic shock 6 (3.6%)
Cardiac arrest 5 (3.0%)
Other 14 (8.4%)
Antimicrobial treatmentb [n (%)]
Empirical 131 (50.2%)
Targeted 128 (49.0%)
Prophylaxis 2 (0.8%)
Antimicrobial usedb [n (%)]
Piperacillin–Tazobactam 109 (41.8%)
Meropenem 65 (24.9%)
Fluconazole 23 (8.8%)
Linezolid 20 (7.7%)
Levofloxacin 18 (6.9%)
Ganciclovir 8 (3.1%)
Ceftazidime 8 (3.1%)
Ciprofloxacin 5 (1.9%)
Voriconazole 3 (1.1%)
Acyclovir 2 (0.7%)
Clinical outcome [n (%)]
ICU mortality rate 33 (19.9%)

aAt baseline

bOverall, 261 different antimicrobial treatments were implemented in included patients

Data are presented as median (IQR) for continuous variables and as n (%) for dichotomous variables