| Author | Message | ||
     Juerg Senior Member Username: Juerg Post Number: 474 Registered: 04-2006 |
Point-of-care lactate testing predicts mortality of severe sepsis in a predominantly HIV type 1-infected patient population in Uganda. Moore CC, Jacob ST, Pinkerton R, Meya DB, Mayanja-Kizza H, Reynolds SJ, Scheld WM. Department of Internal Medicine, Division of Infectious Diseases and International Health, University of Virginia Health System, Charlottesville, VA 22908, USA. ccm5u@virginia.edu BACKGROUND: Prediction of mortality may improve management and outcomes of patients with sepsis in resource-limited settings. Therefore, we evaluated the ability of a hand-held portable whole-blood lactate (PWBL) analyzer to predict mortality of patients who are admitted to the hospital with severe sepsis. METHODS: A prospective observational study enrolled 253 patients at a national referral hospital in Uganda. Inclusion criteria required (1) >or=2 systemic inflammatory response syndrome criteria or thermodysregulation, (2) hypotension, and (3) suspected infection. A subset of 72 patients had PWBL and standard laboratory serum lactate measured. The primary measured outcome was in-hospital mortality. RESULTS: Fifty-nine (81.9%) of 72 evaluated patients were infected with human immunodeficiency virus type 1. The in-hospital mortality rate was 25.7% (18 of 70), and the in- and outpatient mortality at 30 days was 41.6% (30 of 72). PWBL was positively associated with in-hospital but not outpatient mortality (P=.001). The receiver operating characteristic area under the curve for PWBL was 0.81 (P=.081). The optimal PWBL concentration for predicting in-hospital mortality (sensitivity, 88.3%; specificity, 71.2%) was >or=4.0 mmol/L. Patients with a PWBL concentration >or=4.0 mmol/L died while in the hospital substantially more often (50.0%) than did those with a PWBL concentration <4.0>or=4.0 mmol/L predicts with 81% accuracy a 7-fold higher mortality of patients with sepsis than does a PWBL concentration <4.0 mmol/L. PWBL testing would be useful in places where clinical decisions are limited by lack of laboratory infrastructure and poor reliability. PMID: 18171253 [PubMed - indexed for MEDLINE |