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. Author manuscript; available in PMC: 2023 Apr 1.
Published in final edited form as: Shock. 2022 Apr 1;57(4):479–485. doi: 10.1097/SHK.0000000000001883

Table 1.

Patient Demographics

Demographic Azithromycin (n=152) Control (n=585) p-value
Prior to admission
Age (years) 61 (50–70) 56 (45–66) 0.001
Sex (% male) 98 (64.5%) 313 (53.5%) 0.015
Race (% white) 132 (86.8%) 519 (88.7%) 0.685
Height (cm) 173 (165–180) 173 (163–178) 0.185
Weight (kg) 83 (70–100) 81 (68–100) 0.239
Baseline serum creatinine (mg/dl) 1.0 (0.8–1.1) 0.9 (0.7–1.0) 0.011
Baseline eGFR (ml/min/1.73 m2) 77 (64–97) 87 (67–105) 0.016
Diabetes (%) 48 (31.6%) 202 (34.5%) 0.494
Hypertension (%) 99 (65.1%) 376 (64.3%) 0.844
Coronary artery disease (%) 54 (35.5%) 183 (31.3%) 0.318
Heart failure (%) 48 (31.6%) 132 (22.6%) 0.021
Liver disease (%) 40 (26.3%) 182 (31.1%) 0.251
Chronic kidney disease (%) 39 (25.7%) 127 (21.7%) 0.299
Hospital admission
KDIGO AKI stage <0.001
1 84 (55.3%) 223 (38.1%)
2 37 (24.3%) 156 (26.7%)
3 31 (20.4%) 206 (35.2%)
Serum lactate (mmol/l) 0.9 (0.4–1.9) 1.0 (0.5–3.3) 0.03
SOFA score 9 (6–13) 9 (6–13) 0.393
Anti-pseudomonal antibiotic coverage (%) 103 (67.8%) 444 (75.9%) 0.041
Vasopressor requirement within 48 hours of admission (%) 109 (71.7%) 438 (74.9%) 0.427
Duration of azithromycin treatment (days) 3 (2–5) 0 (0–0) <0.001

eGFR=estimated glomerular filtration rate; KDIGO=Kidney Disease Improving Global Outcomes; SOFA=Sequential Organ Failure Assessment