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Background <p>Methanol poisoning carries high mortality and morbidity, and early risk stratification in the emergency department (ED) remains challenging. We evaluated the prognostic value of lactate dynamics alongside readily available metabolic markers.</p> Methods <p>This single-center, retrospective observational study included adults (≥18 years) presenting to the ED with methanol intoxication between 01/2020–03/2023. Demographics, clinical findings, and laboratory values were extracted from electronic records. Lactate was measured at 0, 2, and 4 hours; lactate clearance was calculated as (Initial lactate−Follow-up lactate)/Initial lactate × 100. Outcomes were in-hospital mortality, intensive care unit (ICU) admission, and discharge. Group comparisons and ROC analyses were performed (α = 0.05).</p> Results <p>Eighty-two patients were included (mean age 52.9 ± 14.2 years; 92.7% male). In-hospital mortality was 11.0% and ICU admission 54.9%. Non-survivors had higher lactate at presentation (9.04±6.09 vs 4.21 ± 3.83 mmol/L, <i>p</i> &lt; 0.001) and markedly lower/negative lactate clearance (−33.4±95.3% vs 43.1 ± 29.9%, <i>p</i> &lt; 0.001). Lactate predicted mortality with AUC 0.785 (cut-off &gt; 8.5 mmol/L; sensitivity 77.8%, specificity 72.6%). Delta lactate was associated with mortality on univariate analysis but did not yield a clinically useful cut-off. For level of care outcomes, anion gap predicted ICU admission (AUC 0.722), while anion gap ≤18.4 mmol/L predicted discharge (AUC 0.793; sensitivity 85.1%, specificity 73.3%). Base excess contributed to prediction of ICU admission and discharge.</p> Conclusions <p>In methanol intoxication, both admission lactate and early lactate clearance are strong prognostic indicators of mortality. Anion gap and base excess add complementary value for predicting ICU need and discharge. Incorporating these routinely available parameters into ED assessment may improve early risk stratification and guide timely management decisions.</p>

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Beyond lactate: prognostic value of metabolic and biochemical parameters in methanol poisoning - a retrospective observational study

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月7日

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  • Ecem Ermete Güler,
  • Ejder Saylav Bora,
  • Mehmet Göktuğ Efgan,
  • Serkan Bilgin

摘要

Background

Methanol poisoning carries high mortality and morbidity, and early risk stratification in the emergency department (ED) remains challenging. We evaluated the prognostic value of lactate dynamics alongside readily available metabolic markers.

Methods

This single-center, retrospective observational study included adults (≥18 years) presenting to the ED with methanol intoxication between 01/2020–03/2023. Demographics, clinical findings, and laboratory values were extracted from electronic records. Lactate was measured at 0, 2, and 4 hours; lactate clearance was calculated as (Initial lactate−Follow-up lactate)/Initial lactate × 100. Outcomes were in-hospital mortality, intensive care unit (ICU) admission, and discharge. Group comparisons and ROC analyses were performed (α = 0.05).

Results

Eighty-two patients were included (mean age 52.9 ± 14.2 years; 92.7% male). In-hospital mortality was 11.0% and ICU admission 54.9%. Non-survivors had higher lactate at presentation (9.04±6.09 vs 4.21 ± 3.83 mmol/L, p < 0.001) and markedly lower/negative lactate clearance (−33.4±95.3% vs 43.1 ± 29.9%, p < 0.001). Lactate predicted mortality with AUC 0.785 (cut-off > 8.5 mmol/L; sensitivity 77.8%, specificity 72.6%). Delta lactate was associated with mortality on univariate analysis but did not yield a clinically useful cut-off. For level of care outcomes, anion gap predicted ICU admission (AUC 0.722), while anion gap ≤18.4 mmol/L predicted discharge (AUC 0.793; sensitivity 85.1%, specificity 73.3%). Base excess contributed to prediction of ICU admission and discharge.

Conclusions

In methanol intoxication, both admission lactate and early lactate clearance are strong prognostic indicators of mortality. Anion gap and base excess add complementary value for predicting ICU need and discharge. Incorporating these routinely available parameters into ED assessment may improve early risk stratification and guide timely management decisions.