PROPENSITY-SCORE MATCHING (PSM) TO CONTROL FOR SELECTION BIAS IN “REAL-WORLD” TREATMENT COMPARISONS- A CAUTIONARY TALE CONCERNING ANTIBIOTIC THERAPY FOR INFECTIOUS DISEASE

Author(s)

Berger A1, McKinnon PS2, Larson K2, Crompton M2, Hennegan K1, Weber DJ3, Boening AJ2, Oster G11Policy Analysis Inc. (PAI), Brookline, MA, USA, 2Cubist Pharmaceuticals, Inc., Lexington, MA, USA, 3University of North Carolina School of Medicine, Chapel Hill, NC, USA

OBJECTIVES:   In infectious disease, treatment decisions are often influenced by concerns about antibiotic resistance, which often leads to restriction of newer agents to sicker patients (i.e., selection bias).  PSM is often used to control for this problem in “real-world” comparisons. We examined the adequacy of PSM in a “real-world” comparison of vancomycin versus daptomycin as treatment for complicated skin and skin structure infections (cSSSI). METHODS: Using a database comprising >100 US hospitals, we identified admissions (1/1/2007 - 6/30/2010) with cSSSI who received initial antibiotic therapy with vancomycin or daptomycin. A propensity score model was estimated, using demographics, comorbidities, laboratory values, and receipt of vancomycin ≤30 days prior to hospitalization. Vancomycin patients were matched 1:1 to daptomycin patients in stepwise fashion to minimize the difference in propensity scores for each matched pair (i.e., “greedy” matching). RESULTS:   We identified 347 patients who received daptomycin and 8963 patients who received vancomycin as initial antibiotic therapy for cSSSI. Four hospitals contributed 54% of daptomycin patients, but only 17% of vancomycin patients. Daptomycin and vancomycin patients differed significantly in a number of respects. Only 47.6% of daptomycin patients could be matched to vancomycin patients (i.e., most patients had nonoverlapping propensity scores). Unmatched daptomycin patients were older than those in the matched subset (mean age: 57.3yrs vs. 52.3yrs); they also were more likely to have chronic/ulcerative infections (23% vs. 10%), comorbidities (e.g., diabetes [19% vs. 0%], malnutrition [4% vs. 0%], alcohol/drug abuse [11% vs. 1%]), and to have been hospitalized previously (63% vs. 39%) (all p<0.01). CONCLUSIONS: While PSM is often used to control for selection bias, the problem of nonoverlapping propensity score distributions is often overlooked and can adversely impact generalizability. Use of PSM to control for selection bias in “real-world” comparisons of initial antibiotic therapy for infectious diseases may be limited; alternate study designs may be needed.

Conference/Value in Health Info

2012-06, ISPOR 2012, Washington, D.C., USA

Value in Health, Vol. 15, No. 4 (June 2012)

Code

SB4

Topic

Methodological & Statistical Research

Topic Subcategory

Confounding, Selection Bias Correction, Causal Inference

Disease

Infectious Disease (non-vaccine), Sensory System Disorders

Explore Related HEOR by Topic


Your browser is out-of-date

ISPOR recommends that you update your browser for more security, speed and the best experience on ispor.org. Update my browser now

×