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Commentary on “Comparing predictor value of lactic acid, base deficit, erythrocyte sedimentation rate, and C‐reactive protein in severe burn outcome”

Year: 2025
Type: editorial
Abstract: Commentary on "Comparing predictor value of lactic acid, base deficit, erythrocyte sedimentation rate, and Creactive protein in severe burn outcome" Dear Editor, Khalili et al. evaluated lactic acid (LA), base deficit (BD), erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP) as mortality predictors in adults with ≥25% total body surface area burns. 1 Although their work underscores the importance of rapid risk stratification, several methodological limitations temper the conclusions.1. Study design and population: The single-center retrospective design (139 patients over 3 years) is vulnerable to a selection bias and lacks ethnic and practice variability.Validation in prospective multiinstitutional cohorts is essential.2 Moreover, established composite scores, such as Revised Baux and FLAMES, were not calculated, leaving unanswered whether LA or BD provides an incremental prognostic value over traditional models.3 2. Unmeasured and uncontrolled confounders: Key modifiers of lactate kinetics and systemic inflammation, including chronic cardiovascular, renal, hepatic disease, diabetes, smoking, and alcohol use, were not collected.4,5 Infection status and time-todebridement, both strong drivers of CRP and ESR, were similarly absent.5 Their omission limits adjustment and may inflate biomarker effect estimates.3. Biomarker handling and reporting: Static measurements on days 1, 3, and 7 were analyzed, yet lactate clearance (>10% reduction within 24 h) outperforms absolute lactate in trauma and burn populations.6 Serial trends of BD and CRP could yield higher discrimination while mitigating multicollinearity.Table 2 describes higher BD in nonsurvivors, although BD values are more negative; clarification of the sign convention and units is warranted.ROC results list "1-specificity" without directly reporting specificity or confidence intervals; following STARD 2015 would enhance transparency.
Language: English
Subfield: Epidemiology
Field: Medicine
Open Access status: gold
Estimated APC paid: $1,800
OpenAlex ID: W4413816600
Cites: 9
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Related to: 10