Interest of Eosinopenia to Predict In-hospital Mortality Among Elderly Patients

NCT04734431 | Completed

• 1 other identifier: EOSINOLD
• Study Type: observational
• Target: 224
• Locations: 1 country
• Sites: 1

Brief Summary

No biological marker is highly specific of infection and currently available, especially for bacterial infection. The ideal marker would be easy to perform, rapidly, inexpensive, and correlated with the severity and prognosis of the infection. decreased in eosinophil count (EC) is unspecific of a particular clinical picture and may support a systemic inflammation, whereas the deeper the eosinopenia is, the darker is the prognosis in ICU. The duration of eosinopenia is not clearly documented, but it has been recently shown that EC tends to normalization, rapidly after appropriate and effective antimicrobial therapy in case of bacterial infection among adults patients hospitalized in a medicine ward. In the light of this findings, Terradas et al. described that EC returned back to normal between the day 2 or day 3 in survivors, indicating a potential interest as a predictive marker of the evolution among hospitalized patients. To the best of our knowledge, no work has studied eosinopenia as a prognostic marker of mortality during bacterial infections in the elderly patients in a hospital setting. Our study aims to evaluate the prognosis value of the EC in a geriatric unit of tertiary care hospital.

Conditions

Death; Bacterial Infections; Elderly Infection

Keywords

eosinopenia; elderly; bacterial infection; outcome; mortality; hospital

Outcome Measures

Primary Outcomes (1)

• Risk of mortality at day 30

  Evaluate whether eosinopenia during hospitalization was an independent factor of mortality at day 30 of hospitalization

  30 days

Study Arms (2)

Survivors

Patients admitted in geriatrics that survived of a bacterial infection after 30 days (still admitted or discharged), and treated by antibiotics.

Biological: Eosinophil count

Death

Deceased individuals admitted for a bacterial infection in geriatrics, despite receiving an antimicrobial therapy.

Biological: Eosinophil count

Interventions

Eosinophil count BIOLOGICAL

Evaluation of the eosinophil count from admission to day 7

Death; Survivors

Eligibility Criteria

• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Elderly patients admitted in acute geriatrics, independently of their age, for a bacterial infection according to the ICD-10 and medical chart

You may qualify if:

• Eligible patients were hospitalized in acute geriatrics ward between January 1 and December 31, 2018 with a diagnosis of bacterial infection coded in the medical chart and completed by healthcare staff for the financing of hospital activity.
• Infections of interest were pulmonary, urinary, digestive, biliary, cutaneous, cardiac, and central nervous system infections, as well as bacteremia.
• A White blood count cell with eosinophil count available at day 0 from admission, day 3 +/-1 day

You may not qualify if:

• bone and joint infections because of specificities in the management of these infections (e.g. surgical procedures)
• Disease that could influence the eosinophil count or that could be the cause of diagnostic errors:
• Acquired immunosuppression: HIV associated with a CD4 count of less than 200/mm\^3, immunosuppressive treatments (corticosteroid therapy at a dose ≥10 mg/d prednisone equivalent, anti-cancer chemotherapy, methotrexate etc.)
• Previous known haematological disorders

Sponsors & Collaborators

• Centre d'Investigation Clinique et Technologique 805: lead

Study Sites (1)

Benjamin Davido

Garches, 92380, France

Location

MeSH Terms

Conditions

Death; Bacterial Infections

Condition Hierarchy (Ancestors)

Pathologic Processes; Pathological Conditions, Signs and Symptoms; Bacterial Infections and Mycoses; Infections

Study Officials

• BENJAMIN DAVIDO, MD

  Hopital Raymond Poincaré

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: January 29, 2021
• First Posted: February 2, 2021
• Study Start: January 1, 2018
• Primary Completion: December 31, 2018
• Study Completion: January 1, 2020
• Last Updated: February 2, 2021

Record last verified: 2021-01

Data Sharing

• IPD Sharing: Will not share

Locations

FR (1)