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Correlating Diagnostic Accuracy of Clinical Features and Biomarkers to detect fungal infections in Intensive Care Unit

Correlating Diagnostic Accuracy of Clinical Features and Biomarkers to detect fungal infections in Intensive Care Unit - NIL

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2023/11/059380
Enrollment
124
Registered
2023-11-01
Start date
Unknown
Completion date
Unknown
Last updated
2024-06-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: R21- Rash and other nonspecific skin eruption

Interventions

Intervention1: NIL: NIL

Sponsors

Naini Sood
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: All consecutive patients admitted to the ICU and more than or equal to 18 yrs of age will be eligible for inclusion in the study . The patients may or may not be on mechanical ventilation.

Exclusion criteria

Exclusion criteria: 1.Patient/family who refused to take part in the study. 2.Patient expires before the seventh day of ICU admission. 3.Patient discharged before sampling ( treatment day 4.Incomplete medical record. 5. Patient on anti fungal therapy before specimen collection preceding ICU admission.

Design outcomes

Primary

MeasureTime frame
To assess the role of CRP and PCT for predicting fungal infection in patients admitted to Intensive Care Unit.Timepoint: 1 week—

Secondary

MeasureTime frame
To assess the role of other biomarkers like TLC, Platelet Count, IL-6,ESR and fungal cultures in predicting fungal infections in patients admitted to Intensive Care Unit.Timepoint: 1 year 7 months—

Countries

India

Contacts

Public ContactDr Swati Jindal

Government Medical College and Hospital, Sector 32, Chandigarh

swatirohitjindal604@gmail.com9646004171

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026