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2023 | 6 | 4 | 11-22

Article title

Lactate / albumin ratio as prognostic tool for risk stratification in septic patients admitted to ICU

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Abstracts

EN
INTRODUCTION: Sepsis stands as the primary cause behind intensive care unit (ICU) admissions. The most critical parameters in sepsis management have been shown to be early recognition. Management delays have been associated with increased mortality and morbidity The aim of this study is to study the lactate/albumin (L/A) ratio as prognostic tool for risk stratification in septic patients admitted to ICU. MATERIALS AND METHODS: This prospective observational study was conducted with100 patients. Admitted in ICU with sepsis and septic shock were studied. Serum lactate/albumin ratio was calculated at the time of admission. Apache 2 and SOFA score was calculated at admission. All patients received initial treatment according standard protocol. All patients were followed up till discharge. An adverse outcome in terms of in hospital mortality, length of ICU stays and inotropic support was used in this study. RESULTS: Lactate/albumin ratio >1.5(AUC 0.89) correctly predicted in-hospital mortality among 27% patients with sensitivity and specificity of 90% and 78.6% respectively (p value =0.001). Lactate/albumin ratio <1.50 (AUC 0.73) correctly predicted length of ICU stays <72 hours among 17% patients with sensitivity and specificity of 85% and 58.8% respectively (p value =0.001). Lactate/albumin ratio >1.50 (AUC 0.91) correctly predicted requiring inotropic support among 36% patients with sensitivity and specificity of 83.7% and 89.5% respectively (p value =0.001). CONCLUSIONS: We concluded that lactate/albumin ratio was a stronger parameter than lactate, albumin, APACHE score and SOFA alone in predicting mortality, length of ICU stay and requiring noradrenaline inotropic support among sepsis patients in the ICU.

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EN

Year

Volume

6

Issue

4

Pages

11-22

Physical description

Dates

published
2023

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References

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Document Type

Publication order reference

Identifiers

Biblioteka Nauki
29432047

YADDA identifier

bwmeta1.element.ojs-doi-10_32114_CCI_2023_6_4_11_22
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