Failure of Lactate Clearance Predicts the Outcome of Critically Ill Septic Patients
نویسندگان
چکیده
منابع مشابه
Lactate versus non-lactate metabolic acidosis: a retrospective outcome evaluation of critically ill patients
INTRODUCTION Acid-base abnormalities are common in the intensive care unit (ICU). Differences in outcome exist between respiratory and metabolic acidosis in similar pH ranges. Some forms of metabolic acidosis (for example, lactate) seem to have worse outcomes than others (for example, chloride). The relative incidence of each type of disorder is unknown. We therefore designed this study to dete...
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BACKGROUND Critically ill patients admitted to a medical intensive care unit exhibit a high mortality rate irrespective of the cause of admission. Besides its role in fluid and electrolyte balance, vasopressin has been described as a stress hormone. Copeptin, the C-terminal portion of provasopressin mirrors vasopressin levels and has been described as a reliable biomarker for the individual's s...
متن کاملLactate in the critically ill patients: an outcome marker with the times
Lactic acid was first discovered in human blood in 1843. Since then it has been used as a prognosticator of outcome in critical illness. Regardless of its etiology, lactate's presence and trend over time have been shown to be independently associated with mortality. Two dynamic lactate measures, the time-weighted average lactate and the absolute change in lactate over the first 24 hours in the ...
متن کاملDynamic lactate indices as predictors of outcome in critically ill patients
INTRODUCTION Dynamic changes in lactate concentrations in the critically ill may predict patient outcome more accurately than static indices. We aimed to compare the predictive value of dynamic indices of lactatemia in the first 24 hours of intensive care unit (ICU) admission with the value of more commonly used static indices. METHODS This was a retrospective observational study of a prospec...
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ژورنال
عنوان ژورنال: Diagnostics
سال: 2020
ISSN: 2075-4418
DOI: 10.3390/diagnostics10121105