Serum anion gap at admission as a predictor of mortality in the pediatric intensive care unit

Scientific Reports

Volumn 7, Issue 1, 2017, Pages

  Kim, Min Jung ^a   Kim, Yoon Hee ^a   Sol, In Suk ^a   Kim, Soo Yeon ^a   Kim, Jong Deok ^a   Kim, Ha Yan ^b   Kim, Kyung Won ^a   Sohn, Myung Hyun ^a   Kim, Kyu Earn ^a  

^a Yonsei University College of Medicine   (South Korea)

^b Yonsei University College of Medicine   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER; SERUM ALBUMIN;

ACID BASE BALANCE; ACIDOSIS; BLOOD; CHILD; DISORDERS OF ACID BASE BALANCE; FEMALE; HOSPITAL ADMISSION; HOSPITAL MORTALITY; HUMAN; INFANT; MALE; METABOLISM; MORTALITY; OUTCOME ASSESSMENT; PATHOPHYSIOLOGY; PEDIATRIC INTENSIVE CARE UNIT; PRESCHOOL CHILD; PROGNOSIS; RESPIRATORY FAILURE; RETROSPECTIVE STUDY; SEPSIS; STATISTICAL MODEL;

ACID-BASE EQUILIBRIUM; ACID-BASE IMBALANCE; ACIDOSIS; BIOMARKERS; CHILD; CHILD, PRESCHOOL; FEMALE; HOSPITAL MORTALITY; HUMANS; INFANT; INTENSIVE CARE UNITS, PEDIATRIC; LOGISTIC MODELS; MALE; OUTCOME ASSESSMENT (HEALTH CARE); PATIENT ADMISSION; PROGNOSIS; RESPIRATORY INSUFFICIENCY; RETROSPECTIVE STUDIES; SEPSIS; SERUM ALBUMIN;

EID: 85018789784     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/s41598-017-01681-9     Document Type: Article

References (26)

1. Straney, L. et al. Paediatric index of mortality 3: An updated model for predicting mortality in pediatric intensive care. Pediatr Crit Care Med 14, 673-681, doi: 10.1097/PCC.0b013e31829760cf (2013).
2. Kraut, J. A. & Madias, N. E. Serum anion gap: its uses and limitations in clinical medicine. Clin J Am Soc Nephrol 2, 162-174, doi: 10.2215/CJN.03020906 (2007).
3. Salem, M. M. & SK, M. Gaps in the anion gap. Arch Intern Med 152, 1625-1629, doi: 10.1001/archinte.1992.00400200063011 (1992).
4. BE, B. Clinical significance of the elevated anion gap. Am J Med 79, 289-296, doi: 10.1016/0002-9343(85)90306-7 (1985).
5. Imran, M. N. et al. Early predictors of mortality in pneumococcal bacteraemia. Ann Acad Med Singap 34, 426-431 (2005).
6. Sahu, A., Cooper, H. A. & JA, P. The initial anion gap is a predictor of mortality in acute myocardial infarction. Coron Artery Dis 17, 409-412, doi: 10.1097/00019501-200608000-00002 (2006).
7. Adrogué, H. J. & NE, M. Management of life-Threatening acid-base disorders. First of two parts. N Engl J Med 338, 26-34, doi: 10.1056/NEJM199801013380106 (1998).
8. Gunnerson, K. J. Clinical review: The meaning of acid-base abnormalities in the intensive care unit part I-epidemiology. Crit Care 9, 508-516, doi: 10.1186/cc3796 (2005).
9. Kaplan, L. J. & Frangos, S. Clinical review: Acid-base abnormalities in the intensive care unit-part. Crit Care 9, 198-203, doi: 10.1186/cc2912 (2005).
10. Kaplan, L. J. & Kellum, J. A. Initial pH, base deficit, lactate, anion gap, strong ion difference, and strong ion gap predict outcome from major vascular injury. Critical Care Medicine 32, 1120-1124, doi: 10.1097/01.CCM.0000125517.28517.74 (2004).
11. Rocktaeschel, J., Morimatsu, H., Uchino, S. & Bellomo, R. Unmeasured anions in critically ill patients: can they predict mortality? Crit Care Med 31, 2131-2136, doi: 10.1097/01.CCM.0000079819.27515.8E (2003).
12. Morris, C. G. & Low, J. Metabolic acidosis in the critically ill: part 1. Classification and pathophysiology. Anaesthesia 63, 294-301, doi: 10.1111/j.1365-2044.2007.05370.x (2008).
13. Martin, M. et al. Diagnosis of Acid-Base Derangements and Mortality Prediction in the Trauma Intensive Care Unit: The Physiochemical Approach. The Journal of Trauma: Injury, Infection, and Critical Care 58, 238-243, doi: 10.1097/01.TA.0000152535.97968.4E (2005).
14. Fencl, V., Jabor, A., Kazda, A. & J, F. Diagnosis of metabolic acid-base disturbances in critically ill patients. Am J Respir Crit Care Med 162, 2246-2251, doi: 10.1164/ajrccm.162.6.9904099 (2000).
15. Smith, I. et al. Base excess and lactate as prognostic indicators for patients admitted for intensive care. Intensive Care Med 27, 74-83, doi: 10.1007/s001340051352 (2001).
16. Levraout, J. et al. Reliability of anion gap as an indicator of blood lactate in critically ill patients. Intensive Care Med 23, 417-422, doi: 10.1007/s001340050350 (1997).
17. Taori, R. N., Lahiri, K. R. & Tullu, M. S. Performance of PRISM (Pediatric Risk of Mortality) score and PIM (Pediatric Index of Mortality) score in a tertiary care pediatric ICU. Indian J Pediatr 77, 267-271, doi: 10.1007/s12098-010-0031-3 (2010).
18. Slater, A., Shann, F. & Pearson, G., Paediatric Index of Mortality Study, G. PIM2: A revised version of the Paediatric Index of Mortality. Intensive Care Med 29, 278-285, doi: 10.1007/s00134-002-1601-2 (2003).
19. Seok, Y. et al. Delta neutrophil index: A promising diagnostic and prognostic marker for sepsis. Shock 37, 242-246, doi: 10.1097/SHK.0b013e3182454acf (2012).
20. Ho, K. M., Lee, K. Y., Dobb, G. J. & Webb, S. A. C-reactive protein concentration as a predictor of in-hospital mortality after ICU discharge: A prospective cohort study. Intensive Care Med 34, 481-487, doi: 10.1007/s00134-007-0928-0 (2008).
21. Casado-Flores, J. et al. Serum procalcitonin in children with suspected sepsis: A comparison with C-reactive protein and neutrophil count. Pediatr Crit Care Med 4, 190-195, doi: 10.1097/01.PCC.0000059420.15811.2D (2003).
22. Agrawal, S., Sachdev, A., Gupta, D. & Chugh, K. Platelet counts and outcome in the pediatric intensive care unit. Indian Journal of Critical Care Medicine: Peer-reviewed, Official Publication of Indian Society of Critical Care Medicine 12, 102-108, doi: 10.4103/0972-5229.43678 (2008).
23. Abidi, K. et al. Eosinopenia, an early marker of increased mortality in critically ill medical patients. Intensive Care Med 37, 1136-1142, doi: 10.1007/s00134-011-2170-z (2011).
24. Costa, G. A., Delgado, A. F., Ferraro, A. & Okay, T. S. Application of the pediatric risk of mortality (PRISM) score and determination of mortality risk factors in a tertiary pediatric intensive care unit. Clinics 65, 1087-1092, doi: 10.1590/S1807-59322010001100005 (2010).
25. Pencina, M. J., D'Agostino, R. B. S., D'Agostino, R. B. Jr. & Vasan, R. S. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 27, 157-172, doi: 10.1002/sim.2929, discussion 207-112 (2008).
26. Pickering, J. W. & Endre, Z. H. New metrics for assessing diagnostic potential of candidate biomarkers. Clin J Am Soc Nephrol 7, 1355-1364, doi: 10.2215/CJN.09590911 (2012).