Probable Immortal Time Bias in Comparison of Daptomycin and Vancomycin for Methicillin-resistant <i>Staphylococcus Aureus</i> Bloodstream Infections
Bibliographic record
Abstract
To the Editor—We read with interest the article by Schweitzer et al wherein [1] they conducted a large observational study and reported that in a multivariable analysis switching to daptomycin within the first 3 days of therapy was associated with reduced 30-day mortality (hazard ratio, 0.48; 95% confidence interval, 0.25–0.92). We believe the interpretation of that finding requires caution for 2 reasons. First, for patients with methicillin-resistant Staphylococcus aureus in the definitive daptomycin versus vancomycin randomized controlled trial, [2] the risk ratio for mortality with daptomycin was 1.43 (95% confidence interval, 0.65–3.2). The corresponding probability that daptomycin reduced mortality based on that trial data is 19% overall and only 7.5% for a risk ratio of 0.8 or lower. Although risk ratio and hazard ratio are not fully interchangeable, it is concerning that the results of this observational analysis are substantially different from the probability of that effect size based on the randomized trial. Second, there is an important risk of immortal time bias. although the authors are careful to exclude patients who die within the first 3 days, there remains asymmetry between the daptomycin and vancomycin groups in terms of time at risk. Specifically, the authors categorize patients as undergoing a daptomycin switch “if they received 3 or more doses of daptomycin treatment within 3–5 consecutive days.” Consequently, whereas vancomycin patients could die on any day after day 3, patients who were switched to daptomycin days 2 and 3 must live to days 5 and 6, respectively, or as long as up to day 8 if renally adjusted. It is unclear whether patients who received daptomycin before day 3 but died before their third dose were counted in the vancomycin group or excluded. We suggest this provides a varying degree of immortal time to the daptomycin group. Since many deaths due to Staphylococcus aureus bacteremia occur early, this seemingly small difference in immortal time could contribute to substantial differences in hazard ratio. In fact, the unadjusted χ 2 has a Fragility Index of only 3 [3]. Could the authors perform additional sensitivity analyses to control for this immortal time bias such as: (1) restricting the analysis to patients who have survived at least 6–7 days or (2) modelling daptomycin switch within the first 3 days as a time-varying covariate while removing the requirement for 3 or more days of use or (3) using a prevalent new-user cohort design [4]? Overall, daptomycin may have some advantages in terms of ease of dosing and nephrotoxicity. Some of the vancomycin nephrotoxicity will be mitigated with area under the curve–based dosing strategies [5]. With generic formulations available, the price difference may be less relevant than it was a decade ago; however, daptomycin stewardship might also help preserve susceptibility within the hospital biome. Overall, vancomycin remains the agent with the most experience, and an accurate real-world comparison of the 2, as envisioned by the authors, remains an important piece of work. Potential conflicts of interest. T. C. L. receives research salary support from the Fonds de Recherche du Québec—Santé. B. D. has nothing to declare. Both authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.027 | 0.181 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.010 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".