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Early prediction of healthcare associated infections in the newborns in Neonatal intensive care unit by a scoring based approach

â?? Early prediction of healthcare associated infections in neonatesâ?? - A Predictive model-based approach.

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2021/05/033806
Enrollment
183
Registered
2021-05-25
Start date
Unknown
Completion date
Unknown
Last updated
2023-01-09

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

Conditions

Health Condition 1: B998- Other infectious disease

Interventions

None listed

Sponsors

Kasturba Medical College Manipal
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: All neonates at risk of developing sepsis admitted for 48 hours and beyond at the NICU of Kasturba Medical college Manipal between the year 2021-2022. At-risk neonates for Healthcare-associated infections include neonates with 1. Birth weight 2. Preterm neonates 3. Neonates on Mechanical ventilation 4. Neonates undergoing surgical intervention

Exclusion criteria

Exclusion criteria: • Neonates not born at Kasturba Hospital who have been given antibiotics prior to admission. • Neonates admitted with features of neonatal sepsis. • Neonates with Early-onset sepsis. ( • Neonates with sepsis associated with IEM • Neonates with Downâ??s syndrome and other genetic disorders which can present with altered lab parameters.

Design outcomes

Primary

MeasureTime frame
developing a predictive scoring model for early diagnosis of healthcare-associated infections in neonates admitted to the NICU.Timepoint: 6 months—

Secondary

MeasureTime frame
To validate this developed score prospectivelyTimepoint: 2 years—

Countries

India

Contacts

Public ContactDr Sneha J

Department of Paediatrics Kasturba Medical College Manipal

leslie.lewis@manipal.edu9449208476

Outcome results

None listed

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