» Articles » PMID: 34604252

Initial Blood PH, Lactate and Base Deficit Add No Value to Peri-Arrest Factors in Prognostication of Neurological Outcome After Out-of-Hospital Cardiac Arrest

Overview
Specialty General Medicine
Date 2021 Oct 4
PMID 34604252
Citations 2
Authors
Affiliations
Soon will be listed here.
Abstract

In cardiac arrest survivors, metabolic parameters [pH value, lactate concentration, and base deficit (BD)] are routinely added to peri-arrest factors (including age, sex, bystander cardiopulmonary resuscitation, shockable first rhythm, resuscitation duration, adrenaline dose) to enhance early outcome prediction. However, the additional value of this strategy remains unclear. We used our resuscitation database to screen all patients ≥18 years who had suffered in- or out-of-hospital cardiac arrest (IHCA, OHCA) between January 1st, 2005 and May 1st, 2019. Patients with incomplete data, without return of spontaneous circulation or treatment with sodium bicarbonate were excluded. To analyse the added value of metabolic parameters to prognosticate neurological function, we built three models using logistic regression. These models included: (1) Peri-arrest factors only, (2) peri-arrest factors plus metabolic parameters and (3) metabolic parameters only. Receiver operating characteristics curves regarding 30-day good neurological function (Cerebral Performance Category 1-2) were analysed. A total of 2,317 patients (OHCA: = 1842) were included. In patients with OHCA, model 1 and 2 had comparable predictive value. Model 3 was inferior compared to model 1. In IHCA patients, model 2 performed best, whereas both metabolic (model 3) and peri-arrest factors (model 1) demonstrated similar power. PH, lactate and BD had interchangeable areas under the curve in both IHCA and OHCA. Although metabolic parameters may play a role in IHCA, no additional value in the prediction of good neurological outcome could be found in patients with OHCA. This highlights the importance of accurate anamnesis especially in patients with OHCA.

Citing Articles

Galectin-3 Predicts Long-Term Risk of Cerebral Disability and Mortality in Out-of-Hospital Cardiac Arrest Survivors.

Abdelradi A, Mosleh W, Kattel S, Al-Jebaje Z, Tajlil A, Pokharel S J Pers Med. 2024; 14(9).

PMID: 39338248 PMC: 11432796. DOI: 10.3390/jpm14090994.


The association between serum free fatty acid levels and neurological outcomes in out-of-hospital cardiac arrest patients: A prospective observational study.

Lee D, Lee B, Jeung K, Jung Y Medicine (Baltimore). 2024; 103(27):e38772.

PMID: 38968533 PMC: 11224856. DOI: 10.1097/MD.0000000000038772.

References
1.
Wilkinson D . The self-fulfilling prophecy in intensive care. Theor Med Bioeth. 2009; 30(6):401-10. DOI: 10.1007/s11017-009-9120-6. View

2.
Martinell L, Nielsen N, Herlitz J, Karlsson T, Horn J, Wise M . Early predictors of poor outcome after out-of-hospital cardiac arrest. Crit Care. 2017; 21(1):96. PMC: 5391587. DOI: 10.1186/s13054-017-1677-2. View

3.
Seewald S, Wnent J, Lefering R, Fischer M, Bohn A, Jantzen T . CaRdiac Arrest Survival Score (CRASS) - A tool to predict good neurological outcome after out-of-hospital cardiac arrest. Resuscitation. 2019; 146:66-73. DOI: 10.1016/j.resuscitation.2019.10.036. View

4.
Perkins G, Jacobs I, Nadkarni V, Berg R, Bhanji F, Biarent D . Cardiac arrest and cardiopulmonary resuscitation outcome reports: update of the Utstein Resuscitation Registry Templates for Out-of-Hospital Cardiac Arrest: a statement for healthcare professionals from a task force of the International Liaison.... Circulation. 2014; 132(13):1286-300. DOI: 10.1161/CIR.0000000000000144. View

5.
Moons K, Altman D, Reitsma J, Ioannidis J, Macaskill P, Steyerberg E . Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration. Ann Intern Med. 2015; 162(1):W1-73. DOI: 10.7326/M14-0698. View