| DB ID | MyCo_1256 |
| Title | Early diagnosis of candidemia with explainable machine learning on automatically extracted laboratory and microbiological data: results of the AUTO-CAND project |
| Year | 2023 |
| PMID | 38010342 |
| Fungal Diseases involved | Candidemia |
| Associated Medical Condition | None |
| Genus | Candida |
| Species | spp. |
| Organism | Candida spp. |
| Ethical Statement | None |
| Site of Infection | None |
| Opportunistic invasive | None |
| Sample type | None |
| Sample source | None |
| Host Group | Human |
| Host Common name | Human |
| Host Scientific name | Homo sapiens |
| Biomarker Name | BDG |
| Biomarker Full Name | 1-3-beta-D-Glucan |
| Biomarker Type | Diagnostic |
| Biomolecule | Protein |
| Geographical Location | Italy |
| Cohort | This retrospective study, conducted at IRccs Ospedale Policlinico San Martino, a 1200-bed teaching hospital in Italy, comprised the second phase of the AUTO-caND project. In the first phase, we validated the automated extraction of laboratory and microbiological data per- taining to candidemia and bacteremia episodes that occurred in our center from 1 January 2011 to 31 December 2019. The details of the automated extraction process have been reported elsewhere. Briefly, the automated system extracted 15,752 epi- sodes of bloodstream infection that occurred during the study period. |
| Cohort No. | None |
| Age Group | None |
| P Value | None |
| Sensitivity | None |
| Specificity | None |
| Positive Predictive Value | None |
| MIC | None |
| Fold Change | None |
| Pathway | None |
| Disease Introduction Mechanism | Candidemia (i.e. bloodstream infection due to yeasts of the genus Candida) carries a heavy burden of morbidity and mortality in hospitalized patients, with mortality rates surpassing 50% in critically ill patients. Furthermore, the development of candidemia is associated with prolonged hospital stays and increased healthcare costs. |
| Technique | Bioinformatics analysis |
| Analysis Method | Bioinformatics Analysis |
| ELISA kits | None |
| Assay Data | None |
| Validation Techniques used | Bioinformatics Approach |
| Up Regulation Down Regulation | Positive |
| Sequence Data | None |
| External Link | None |
