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Record W3139513401 · doi:10.1093/cid/ciab247

Probable Immortal Time Bias in Comparison of Daptomycin and Vancomycin for Methicillin-resistant <i>Staphylococcus Aureus</i> Bloodstream Infections

2021· letter· en· W3139513401 on OpenAlexaff
Brandon Dionne, Todd C. Lee

Bibliographic record

VenueClinical Infectious Diseases · 2021
Typeletter
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsMcGill University
Fundersnot available
KeywordsDaptomycinStaphylococcus aureusVancomycinMicrobiologyMethicillin-resistant Staphylococcus aureusMedicineBloodstream infectionBacteremiaAntibioticsBiologyBacteria

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.027
metaresearch head score (Gemma)0.181
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.973
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.181
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0100.005
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.067
GPT teacher head0.376
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
DomainMethods
GenreCommentary

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".

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Citations1
Published2021
Admission routes1
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