Literature DB >> 29065350

Which one is a better predictor of ICU mortality in septic patients? Comparison between serial serum lactate concentrations and its removal rate.

Ata Mahmoodpoor1, Kamran Shadvar1, Seied Hadi Saghaleini1, Evin Koleini2, Hadi Hamishehkar1, Zohre Ostadi1, Nader D Nader3.   

Abstract

PURPOSE: To predict 28-day mortality with serum lactate and oxygenation profile in sepsis.
METHODS: 82 patients were admitted to the ICU with sepsis. Comorbid disease, hemodynamic and oxygenation parameters were recorded. Serum lactate was measured at T0, T6, T12 and T24 hours of admission. Arterial and venous oxygen saturation levels were also measured. Regression and ROC analyses were used to predict death within 28days.
RESULTS: Out of 82 patients, 32 died within 28days of ICU admission. Non-survivors differed from survivors in having higher serum lactate concentrations on admission (0.6mmol/L; P=0.033), requiring more norepinephrine (14μg/min; P<0.001), higher frequency of acute kidney injury, prolonged mechanical ventilation (5-days; P<0.001) and ICU stay (1-day; P=0.029). Saturation of oxygen in arterial (a), central venous blood (cv) and (a-cv) were similar between the survivors and non-survivors. T24 level of lactate was the best predictor of 28-day mortality with 78% sensitivity and 90% specificity (AUC=0.912±0.033).
CONCLUSION: Serial measurements of serum lactate with special emphasis on its concentration at 24hour after admission remains the most predictive of short-term mortality in the ICU. Other predictors of mortality are relatively inferior and must be used collectively in context to better predict the clinical outcome of sepsis. Published by Elsevier Inc.

Entities:  

Keywords:  Arterial oxygen saturation; Central venous oxygen saturation; Lactate removal rate; Sepsis

Mesh:

Substances:

Year:  2017        PMID: 29065350     DOI: 10.1016/j.jcrc.2017.10.019

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  5 in total

1.  Comparison of cardiac output, IVC diameters and lactate levels in prediction of mortality in patients in emergency department; An observational study.

Authors:  Kavous Shahsavarinia; Ali Taqizadieh; Payman Moharramzadeh; Ramin Amirchoupani; Ata Mahmoodpoor
Journal:  Pak J Med Sci       Date:  2020 May-Jun       Impact factor: 1.088

2.  Clinical evaluation of a novel subcutaneous lactate monitor.

Authors:  Nitsan Dror; John Weidling; Sean White; Francesca Ortenzio; Samir Shreim; Mark T Keating; Hoang Pham; Shlomit Radom-Aizik; Elliot Botvinick
Journal:  J Clin Monit Comput       Date:  2021-04-10       Impact factor: 1.977

3.  Course of lactate, pH and base excess for prediction of mortality in medical intensive care patients.

Authors:  Anja Schork; Kathrin Moll; Michael Haap; Reimer Riessen; Robert Wagner
Journal:  PLoS One       Date:  2021-12-20       Impact factor: 3.240

4.  Comparison of lactate/albumin ratio to lactate and lactate clearance for predicting outcomes in patients with septic shock admitted to intensive care unit: an observational study.

Authors:  Kamran Shadvar; Nader Nader-Djalal; Noushin Vahed; Sarvin Sanaie; Afshin Iranpour; Ata Mahmoodpoor; Amir Vahedian-Azimi; Abbas Samim; Farshid Rahimi-Bashar
Journal:  Sci Rep       Date:  2022-07-29       Impact factor: 4.996

5.  GDF3 Protects Mice against Sepsis-Induced Cardiac Dysfunction and Mortality by Suppression of Macrophage Pro-Inflammatory Phenotype.

Authors:  Lu Wang; Yutian Li; Xiaohong Wang; Peng Wang; Kobina Essandoh; Shunan Cui; Wei Huang; Xingjiang Mu; Zhenling Liu; Yigang Wang; Tianqing Peng; Guo-Chang Fan
Journal:  Cells       Date:  2020-01-03       Impact factor: 6.600

  5 in total

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