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. 2022 Sep 2;4(9):e0750.
doi: 10.1097/CCE.0000000000000750. eCollection 2022 Sep.

Prediction of Inhospital Mortality in Critically Ill Patients With Sepsis: Confirmation of the Added Value of 24-Hour Lactate to Acute Physiology and Chronic Health Evaluation IV

Meryem Baysan  1   2   3 , Mendi S Arbous  1   2 , Ewout W Steyerberg  4 , Johanna G van der Bom  2   3
Affiliations

Prediction of Inhospital Mortality in Critically Ill Patients With Sepsis: Confirmation of the Added Value of 24-Hour Lactate to Acute Physiology and Chronic Health Evaluation IV

Meryem Baysan et al. Crit Care Explor. .

Abstract

We previously reported the added value of 24-hour lactate concentration alone and in combination with 24-hour lactate clearance and lactate concentration at admission for the prediction of inhospital mortality in critically ill patients with sepsis. We aimed to validate this finding.

Derivation cohort: The derivation cohort from Leiden, The Netherlands, consisted of 451 critically ill patients with sepsis.

Validation cohort: The validation cohort consisted of 4,440 critically ill adult patients with sepsis from the Medical Information Mart for Intensive Care cohort admitted to the ICU of Beth Israel Deaconness Medical Center, Boston, MA, between January 2006 and 2018.

Prediction model: Predictors of mortality were: age, chronic comorbidities, length of stay pre-ICU, Glasgow Coma Scale, and Acute Physiology Score. Lactate concentration at 24-hour alone, in combination with 24-hour lactate clearance and in combination with lactate concentration at admission, was added to assess improvement of the prediction model. The outcome was inhospital mortality.

Results: Inhospital mortality occurred in 160 patients (36%) in the derivation cohort and in 2,347 patients (53%) in the validation cohort. The Acute Physiology and Chronic Health Evaluation (APACHE) IV model had a moderate discriminative performance (recalibrated C-statistic, 0.62; 95% CI, 0.60-0.63). Addition of 24-hour lactate concentration increased the recalibrated C-statistic to 0.64 (95% CI, 0.62-0.66). The model with 24-hour lactate concentration and lactate concentration at admission showed the best fit as depicted by the smallest Akaike Information Criterion in both the derivation and validation data.

Conclusion: The 24-hour lactate concentration and lactate concentration at admission contribute modestly to prediction of inhospital mortality in critically ill patients with sepsis. Future updates and possible modification of APACHE IV should consider the incorporation of lactate concentration at baseline and at 24 hours.

Keywords: Acute Physiology and Chronic Health Evaluation; critical care; external validation; lactic acid; prognosis; sepsis; septic shock.

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Figures

Figure 1.
Figure 1.
Flow diagram of cohort selection based on ICU admissions. MIMIC = Medical Information Mart for Intensive Care.
Figure 2.
Figure 2.
Overview of calibration curves of the 4 models in the validation cohort after recalibration of intercept and slope. A, The calibration curves of validated models before recalibration. B, The calibration curves of validated models after recalibration are illustrated. APACHE IV = Acute Physiology and Chronic Health Evaluation.
See this image and copyright information in PMC

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