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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\u2014SPIRO 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)\u2009=\u20090.776]. 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\u2009&gt;\u200940\u00a0years; lethargy; pulmonary symptom; mean arterial pressure\u2009&lt;\u200980\u00a0mmHg and hematocrit\u2009&lt;\u200930%) and good predictive accuracy (AUC-ROC\u2009=\u20090.788). LeptoScore and QuickLepto had better accuracy to predict mortality in patients with leptospirosis when compared to SPIRO score (AUC-ROC\u2009=\u20090.500) and quick SOFA score (AUC-ROC\u2009=\u20090.782). 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.<\/jats:p>","DOI":"10.1038\/s41598-023-31707-4","type":"journal-article","created":{"date-parts":[[2023,3,26]],"date-time":"2023-03-26T20:03:17Z","timestamp":1679860997000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Development and validation of a simple machine learning tool to predict mortality in leptospirosis"],"prefix":"10.1038","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2760-3162","authenticated-orcid":false,"given":"Gabriela Studart","family":"Galdino","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4435-0614","authenticated-orcid":false,"given":"Tain\u00e1 Veras","family":"de Sandes-Freitas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0230-0766","authenticated-orcid":false,"given":"Luis Gustavo Modelli","family":"de Andrade","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1017-4728","authenticated-orcid":false,"given":"Caio Manuel Caetano","family":"Adamian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0160-5728","authenticated-orcid":false,"given":"Gdayllon Cavalcante","family":"Meneses","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8971-0994","authenticated-orcid":false,"given":"Geraldo Bezerra","family":"da Silva Junior","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4189-1738","authenticated-orcid":false,"given":"Elizabeth","family":"de Francesco Daher","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,3,18]]},"reference":[{"key":"31707_CR1","doi-asserted-by":"publisher","first-page":"736","DOI":"10.1038\/nrmicro2208","volume":"7","author":"AI Ko","year":"2009","unstructured":"Ko, A. 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