| DB ID | MyCo_3494 |
| Title | nCD64 index as a novel inflammatory indicator for the early prediction of prognosis in infectious and non-infectious inflammatory diseases: An observational study of febrile patients |
| Year | 2022 |
| PMID | 35967346 |
| Fungal Diseases involved | Fungal infection |
| Associated Medical Condition | None |
| Genus | None |
| Species | None |
| Organism | None |
| Ethical Statement | This study was approved by the Ethics committee of Huashan Hospital, Fudan University (KY2021-718). Written informed consent was obtained from all participants. |
| Site of Infection | None |
| Opportunistic invasive | None |
| Sample type | Body fluid |
| Sample source | Blood |
| Host Group | Human |
| Host Common name | Human |
| Host Scientific name | Homo sapiens |
| Biomarker Name | nCD64 |
| Biomarker Full Name | neutrophil (n)CD64 |
| Biomarker Type | Negative |
| Biomolecule | Protein |
| Geographical Location | China |
| Cohort | Here continuously included 380 febrile (temperature >38.3°C) patients admitted to the ED or Department of Infectious Diseases at Fudan University Affiliated Huashan Hospital, China, between September 2018 and January 2020. |
| Cohort No. | 380 |
| Age Group | None |
| P Value | None |
| Sensitivity | None |
| Specificity | None |
| Positive Predictive Value | None |
| MIC | None |
| Fold Change | None |
| Pathway | None |
| Disease Introduction Mechanism | None |
| Technique | Analytic |
| Analysis Method | Flow Cytometry Analysis |
| ELISA kits | None |
| Assay Data | None |
| Validation Techniques used | Flow Cytometry Analysis |
| Up Regulation Down Regulation | Negative |
| Sequence Data | None |
| External Link | None |
