Admission serum lactate levels do not predict mortality in the acutely injured patient

Journal of Trauma - Injury, Infection and Critical Care

Volumn 60, Issue 3, 2006, Pages 583-589

  Pal, Jay D ^a,c   Victorino, Gregory P ^a,b   Twomey, Patrick ^a   Liu, Terrence H ^a   Bullard, M Kelley ^a   Harken, Alden H ^a   Davis, James W ^c   Shatney, Clayton H ^c   Van De Water, Joseph M ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b ALAMEDA COUNTY MEDICAL CENTER   (United States)

^c NONE

Author keywords

[No Author keywords available]

Indexed keywords

LACTIC ACID;

ACCURACY; ADULT; ARTICLE; EMERGENCY HEALTH SERVICE; EMERGENCY SURGERY; FEMALE; GLASGOW COMA SCALE; HOSPITAL ADMISSION; HUMAN; INJURY SCALE; INJURY SEVERITY; INTENSIVE CARE UNIT; LACTATE BLOOD LEVEL; MAJOR CLINICAL STUDY; MALE; MORTALITY; OUTCOME ASSESSMENT; PRIORITY JOURNAL; PROGNOSIS; PROSPECTIVE STUDY; RETROSPECTIVE STUDY; URBAN AREA; BLOOD; INJURY; PREDICTION AND FORECASTING; REGISTER; REGRESSION ANALYSIS; ROC CURVE; STATISTICAL ANALYSIS; STATISTICS; UNITED STATES;

ADULT; CALIFORNIA; DATA INTERPRETATION, STATISTICAL; FEMALE; HOSPITAL MORTALITY; HUMANS; INJURY SEVERITY SCORE; LACTIC ACID; MALE; OUTCOME ASSESSMENT (HEALTH CARE); PATIENT ADMISSION; PREDICTIVE VALUE OF TESTS; PROGNOSIS; PROSPECTIVE STUDIES; REGISTRIES; REGRESSION ANALYSIS; ROC CURVE; STATISTICS; WOUNDS AND INJURIES;

EID: 33645543097     PISSN: 00225282     EISSN: None     Source Type: Journal    
DOI: 10.1097/01.ta.0000205858.82575.55     Document Type: Article

References (29)

1. Claridge JA, Crabtree TD, Pelletier SJ, Butler K, Sawyer RG, Young JS. Persistent occult hypoperfusion is associated with a significant increase in infection rate and mortality in major trauma patients. J Trauma. 2000;48:8-14.
2. Blow O, Magliore L, Claridge JA, Butler K, Young JS. The golden hour and the silver day: detection and correction of occult hypoperfusion within 24 hours improves outcome from major-trauma. J Trauma. 1999;47:964-969.
3. Athanassiadi K, Gerazounis M, Theakos N. Management of 150 flail chest injuries: analysis of risk factors affecting outcome. Eur J Cardiothorac Surg. 2004;26:373-376.
4. Kaplan LJ, Kellum JA. Initial pH, base deficit, lactate, anion gap, strong ion difference, and strong ion gap predict outcome from major vascular injury. Crit Care Med. 2004;32:1120-1124.
5. Vitek V, Cowley RA. Blood lactate in the prognosis of various forms of shock. Ann Surg. 1971;173:308-313.
6. Durham RM, Moran JJ, Mazuski JE, Shapiro MJ, Baue AE, Flint LM. Multiple organ failure in trauma patients. J Trauma. 2003;55:608-616.
7. Cerovic O, Golubovic V, Spec-Marn A, Kremzar B, Vidmar G. Relationship between injury severity and lactate levels in severely injured patients. Intensive Care Med. 2003;29:1300-1305.
8. Smith I, Kumar P, Molloy S, et al. Base excess and lactate as prognostic indicators for patients admitted to intensive care. Intensive Care Med. 2001;27:74-83.
9. Jeng JC, Jablonski K, Bridgeman A, Jordan MH. Serum lactate, not base deficit, rapidly predicts survival after major burns. Burns. 2002;28:161-166.
10. Broder G, Weil MH. Excess lactate: An index of reversibility of shock in human patients. Science. 1964;143:1457-1459.
11. Aslar AK, Kuzu MA, Elhan AH, Tanik A, Hengirmen S. Admission lactate level and the APACHE II score are the most useful predictors of prognosis following torso trauma. Injury. 2004;35:746-752.
12. Husain FA, Martin MJ, Mullenix PS, Steele SR, Elliott DC. Serum lactate and base deficit as predictors of mortality and morbidity. Am J Surg. 2003;185:485-491.
13. McNelis J, Marini CP, Jurkiewicz A, et al. Prolonged lactate clearance is associated with increased mortality in the surgical intensive care unit. Am J Surg. 2001;182:481-485.
14. Mizock BA, Falk JL. Lactic acidosis in critical illness. Crit Care Med. 1992;20:80-93.
15. Altman DG. Statistics in medical journals: developments in the 1980s. Stat Med. 1991;10:1897-1913.
16. Altman DG. Statistics in medical journals: some recent trends. Stat Med. 2000;19:3275-3289.
17. Guller U, DeLong ER. Interpreting statistics in medical literature: a vade mecum for surgeons. J Am Coll Surg. 2004;198:441-458.
18. Amaral JF, Shearer JD, Mastrofrancesco B, Gann DS, Caldwell MD. The temporal characteristics of the metabolic and endocrine response to injury. J Trauma. 1988;28:1335-1352.
19. Hakanson E, Rutberg H, Jorfeldt L. Effect of adrenaline on exchange of glucose in leg tissues and splanchnic area. A comparison with the metabolic response to surgical stress. Clin Physiol. 1986;6:439-451.
20. Liddell MJ, Daniel AM, MacLean LD, Shizgal HM. The role of stress hormones in the catabolic metabolism of shock. Surg Gynecol Obstet. 1979;149:822-830.
21. Cheetham ME, Boobis LH, Brooks S, Williams C. Human muscle metabolism during sprint running. J Appl Physiol. 1986;61:54-60.
22. McNeil BJ, Keller E, Adelstein SJ. Primer on certain elements of medical decision making. N Engl J Med. 1975;293:211-215.
23. Ransohoff DF, Feinstein AR. Problems of spectrum and bias in evaluating the efficacy of diagnostic tests. N Engl J Med. 1978;299:926-930.
24. Galen RS, Gambino SR. Beyond normality: the predictive value and efficiency of medical diagnoses. New York: John Wiley and Sons; 1975.
25. Lijmer JG, Mol BW, Heisterkamp S, et al. Empirical evidence of design-related bias in studies of diagnostic tests. JAMA. 1999;282:1061-1066.
26. Manolio T. Novel risk markers and clinical practice. N Engl J Med. 2003;349:1587-1589.
27. Bossuyt PM, Reitsma JB, Bruns DE, et al. Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. Fam Pract. 2004;21:4-10.
28. Bossuyt PM, Reitsma JB, Bruns DE, et al. Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. BMJ. 2003;326:41-44.
29. Bakker J, Gris P, Coffernils M, Kahn RJ, Vincent JL. Serial blood lactate levels can predict the development of multiple organ failure following septic shock. Am J Surg. 1996;171:221-226.