Table 2:

Outcomes within 30 days after co-prescription of clarithromycin or azithromycin with a statin not metabolized by CYP3A4

OutcomeNo. of events (%)*Absolute risk difference (95% CI), %Relative risk (95% CI)
Clarithromycin
n = 51 523
Azithromycin
n = 52 518
UnadjustedAdjusted
Hospital admission with rhabdomyolysis13 (0.03)6 (0.01)0.02 (−0.03 to 0.03)2.21 (0.84 to 5.81)2.27 (0.86 to 5.96)
Hospital admission with acute kidney injury175 (0.34)122 (0.23)0.11 (0.04 to 0.17)1.46 (1.16 to 1.84)1.65 (1.31 to 2.09)
Hospital admission with hyperkalemia33 (0.06)18 (0.03)0.03 (0.00 to 0.06)1.87 (1.05 to 3.32)2.17 (1.22 to 3.86)
All-cause mortality200 (0.39)155 (0.30)0.09 (0.02 to 0.16)1.32 (1.07 to 1.62)1.43 (1.15 to 1.76)
  • Note: CI = confidence interval, CYP3A4 = cytochrome P450 3A4.

  • * The number of events (and the proportion of patients who experienced an event) for all outcomes except all-cause mortality were assessed with the use of hospital diagnostic codes. This underestimates the true event rate, because these codes have high specificity but low sensitivity.

  • Patients prescribed azithromycin served as the referent group.

  • Adjusted for 15 covariates (age, sex, year of cohort entry; baseline evidence of chronic kidney disease, stroke or transient ischemic attack, peripheral vascular disease, coronary artery disease, congestive heart failure, major cancer and diabetes; baseline use, in the 120 days before the index date, of β-blockers, calcium-channel blockers, diuretics, angiotensin-converting-enzyme inhibitors or angiotensin II receptor blockers, and nonsteroidal anti-inflammatory drugs) using logistic regression model (see Methods section). To reduce concerns about model over-fitting, we repeated the analysis adjusting for only age and sex; the results did not differ.