Infectious Diseases
Conditions
Interventions
Gold Standard:Etiological evidence (e.g., microbiological culture, polymerase chain reaction PCR)
Index test:This is a diagnostic model constructed based on machine learning algorithms that integrates multiple parameters of the complete blood count, derived indicators, and patient baseline informa
Sponsors
West China Hospital, Sichuan University
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: 1.Age: Adult patients aged >=18 years. 2.Clinical Symptoms: Patients presenting for the first time at the emergency department or fever clinic with acute fever (body temperature >=38.0°C) and/or suspected infectious symptoms (e.g., chills, cough, expectoration, urinary tract irritation symptoms, etc.). 3.Testing Requirement: Completion of a complete blood count (CBC) test within 24 hours of the visit, with the test results being complete and available for use. 4.Diagnostic Gold Standard: Possession of a definitive final clinical diagnosis that can serve as the "gold standard" for model training. The diagnosis must be based on a combination of etiological evidence (e.g., culture, PCR), serological tests, imaging examinations, and clinical response to treatment, and must be jointly confirmed by at least two senior physicians. The diagnostic outcome must clearly categorize the patient into one of the following three groups: bacterial infection group, viral infection group, or non-infectious disease group.
Exclusion criteria
Exclusion criteria: 1.Missing Information: Patients with missing or incompletely recorded key clinical information (e.g., vital signs, final diagnosis). 2.Recent Specific Treatment History: Patients who have undergone blood transfusion, chemotherapy, or radiotherapy within 14 days prior to enrollment. 3.Specific Disease History: Patients with known hematological diseases (e.g., leukemia, aplastic anemia) or hypersplenism/having undergone splenectomy.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Complete Blood Count Five-Part Differential Scatter Plot (DIFF); | — |
Secondary
| Measure | Time frame |
|---|---|
| Complete Blood Count Parameters (WBC); | — |
Countries
China
Contacts
Public ContactFu Yang
West China Hospital, Sichuan University
Outcome results
None listed