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. 2020 Oct 30;73(11):e3929–e3936. doi: 10.1093/cid/ciaa621

Table 4.

Comparing Capreomycin, Amikacin, and Kanamycin (Susceptible Only)

Drug Events/Total Events/Total Pairs, No. Odds Ratio
(95% CI)
Risk Difference
(95% CI)a
Amikacin vs kanamycin Amikacin Kanamycin
  Cured 1302/1394 2192/2523 1394 2.0 (1.5–2.5) 0.06 (.04–.08)
  Died 250/1644 435/2958 1643 0.7 (.6–.8) −0.02 (−.04 to .01)
Comparison in fluoroquinolone-resistant subgroup
  Cured 168/186 178/213 172 2.0 (1.0–3.8) 0.08 (.01–.15)
  Died 43/229 39/252 216 0.8 (.5–1.3) 0.02 (−.05 to .10)
Capreomycin vs amikacin Capreomycin Amikacin
  Cured 821/938 1302/1394 938 0.3 (.2–.4) −0.09 (−.11 to −.06)
  Died 176/1114 250/1644 1113 1.7 (1.3–2.2) 0.05 (.02–.08)
Comparison in fluoroquinolone-resistant subgroup
  Cured 118/168 168/186 160 0.3 (.2–.5) −0.20 (−.30 to −.11)
  Died 52/220 43/229 216 1.8 (1.1–2.9) 0.04 (−.04 to .12)
Capreomycin vs kanamycin Capreomycin Kanamycin
  Cured 821/938 2192/2523 938 0.8 (.6–1.0) −0.02 (−.05 to .01)
  Died 176/1114 435/2958 1114 0.8 (.6–1.0) 0.01 (−.02 to .04)
Comparison in fluoroquinolone-resistant subgroup
  Cured 118/168 178/213 168 0.8 (.5–1.2) −0.05 (−.15 to .05)
  Died 52/220 39/252 220 1.0 (.7–1.6) 0.12 (.05–.20)

Excluded: 857 who received ≥ 2 injectables for no clear reason. Included: 613 no injectables, 10 307 who received only 1 injectable, and 253 who were switched to an effective second-line injectable drug based on drug susceptibility test results.

Values in bold are statistically significant (P < .05), meaning that 95% CI do not include 1.0 for odds ratios, or do not include 0 for risk differences.

Abbreviation: CI, confidence interval.

aEffect adjusted for age, sex, human immunodeficiency virus status, acid-fast smear microscopy results, cavities on chest radiograph, prior treatment with first- and second-line tuberculosis drugs, and resistance to fluoroquinolones or second-line injectables, and number of possibly effective drugs in the initial phase. In all models, odds ratios were estimated with random-effects model (intercept and slope), but risk differences were estimated with fixed-effects models as random-effects models would not converge.