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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.
Baysan, Meryem; Arbous, Mendi S; Steyerberg, Ewout W; van der Bom, Johanna G.
Affiliation
  • Baysan M; Department of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands.
  • Arbous MS; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Steyerberg EW; Center for Clinical Transfusion Research, Sanquin Research, Leiden, The Netherlands.
  • van der Bom JG; Department of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands.
Crit Care Explor ; 4(9): e0750, 2022 Sep.
Article de En | MEDLINE | ID: mdl-36082375
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.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Langue: En Journal: Crit Care Explor Année: 2022 Type de document: Article Pays d'affiliation: Pays-Bas

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Langue: En Journal: Crit Care Explor Année: 2022 Type de document: Article Pays d'affiliation: Pays-Bas