Table 2.
Association of Cannabis Use with Acute Kidney Injury
Cannabis use versus negative for all substance use | Unadjusted/Model 1, OR (95% CI) | p | Adjusted (IPTW weights), OR (95% CI) | p |
---|---|---|---|---|
Main analysis | 0.87 (0.53–1.42) | 0.6 | 0.85 (0.38–1.87) | 0.7 |
Sensitivity analyses | ||||
Double robust estimation | 0.79 (0.34–1.83) | 0.6 | ||
Adjusted (winsorized IPTW weights) | 0.81 (0.46–1.43) | 0.5 | ||
DRE (winsorized IPTW weights) | 0.79 (0.34–1.83) | 0.6 | ||
Incremental analysis (weights not included) | ||||
Model 2 | 0.84 (0.51–1.39) | 0.5 | ||
Model 3 | 0.91 (0.55–1.51) | 0.7 | ||
Model 4 | 0.93 (0.55–1.57) | 0.8 | ||
Model 5 | 0.83 (0.48–1.41) | 0.5 |
IPTW weights are calculated from the variables shown in Table 1. Doubly robust estimation: “doubly robust” means the model includes all the variables used to calculate IPTW weights and weights too. Winsorized weights: Weights adjusted at 90 percentiles, respectively, for each group. Model 1: Unadjusted analysis. Models 2–5 presented here are incrementally adjusted, as follows: Model 2: Model 1+demographics (sex, race, and age). Model 3: Model 2+comorbidities (chronic pulmonary disease, liver disease, diabetes, hyperlipidemia, hypertension, and post-traumatic stress disorder)+access type+smoking. Model 4: Model 3+use of medications (analgesics, psychiatric drugs, antimicrobials, antiretrovirals, cardiovascular medications, chemotherapeutic inhibitors, diuretics, proton pump inhibitors, H2 receptor blockers, warfarin, anticoagulants, and benzodiazepines). Model 5: Model 4+vital signs (mean systolic blood pressure, mean DBP, mean BMI, and mean pain score)+baseline eGFR (eGFR intercept). DRE, doubly robust estimation; IPTW, inverse probability of treatment weighting.