Acute kidney injury in leptospirosis: A country-level report

Rista, Elvana; Puca, Edmond; Cadri, Vilma; Saliaj, Kristi; Duraku, Ahmet; Bino, Silvia; Abazaj, Erjona; Alla, Luljeta; Harxhi, Arjan

doi:10.1016/j.tmaid.2022.102359

Cited by 5 publications

(1 citation statement)

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“…The present study had 11% of mortality (32/295), a similar finding to that of previous studies, which was around 10% (range of 0-33.3%) 6 . Independent risk factors for mortality in leptospirosis-associated AKI reported in a systematic review were oliguria, jaundice, arrhythmia, crackles, elevated direct bilirubin level, elevated activated prothrombin time, hyperbilirubinemia and leukocytosis 6,20 . We found similar mortality predictors in the present cohort, not exclusively related to the presence of AKI.…”

Section: Discussionmentioning

confidence: 99%

Development and validation of a simple machine learning tool to predict mortality in leptospirosis

Galdino

Sandes‐Freitas

Andrade

et al. 2023

Sci Rep

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Predicting risk factors for death in leptospirosis is challenging, and identifying high-risk patients is crucial as it might expedite the start of life-saving supportive care. Admission data of 295 leptospirosis patients were enrolled, and a machine-learning approach was used to fit models in a derivation cohort. The comparison of accuracy metrics was performed with two previous models—SPIRO score and quick SOFA score. A Lasso regression analysis was the selected model, demonstrating the best accuracy to predict mortality in leptospirosis [area under the curve (AUC-ROC) = 0.776]. A score-based prediction was carried out with the coefficients of this model and named LeptoScore. Then, to simplify the predictive tool, a new score was built by attributing points to the predictors with importance values higher than 1. The simplified score, named QuickLepto, has five variables (age > 40 years; lethargy; pulmonary symptom; mean arterial pressure < 80 mmHg and hematocrit < 30%) and good predictive accuracy (AUC-ROC = 0.788). LeptoScore and QuickLepto had better accuracy to predict mortality in patients with leptospirosis when compared to SPIRO score (AUC-ROC = 0.500) and quick SOFA score (AUC-ROC = 0.782). The main result is a new scoring system, the QuickLepto, that is a simple and useful tool to predict death in leptospirosis patients at hospital admission.

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Section: Discussionmentioning

confidence: 99%