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Using SNAPPE II scoring system in the babies admitted in NICU for predicting mortality and morbidity - An observational study

Active, not recruiting
Conditions
sick newborn
Registration Number
CTRI/2018/05/014170
Lead Sponsor
Dr Ashok V Badakali
Brief Summary

Severity of measurements in NICUs (neonatal intensive care units) has traditionally employed birth weight and APGAR scores, as two main factors, for mortality prediction. The relationship between mortality rate and the factors have, however, been insufficiently precise in quality assessment of neonatal intensive care settings. In addition, rapid progress of neonatal care has made the relationship between these factors and mortality rate unstable .

Survival of the newborns who are admitted to the NICUs do not depend exclusively on birth weight and gestational age, but also on other perinatal factors and physiological conditions of the individual infants, in particular severity of their diseases .

SNAPPE II includes mean blood pressure, temperature, PO 2 /FiO 2 , pH, multiple seizures, urine output, APGAR score, birth weight and small for gestational age. These scores give weightage for certain parameters to

predict outcome for a newborn. Hence the present study aims to analyze the influence of physiologic factors (mean blood pressure, temperature, urine output, presence of multiple seizures) laboratory parameters (arterial blood gas analysis for pH and PO 2 ) and perinatal factors (eg., birth weight, gestational age, APGAR score at 5 minutes) on the mortality in neonates.

Statistical analysis: Data will be analyzed using SPSS version 11, chisquare test for qualitative data and students t test for quantitative data, ROC curve analysis will be done to findout criterion value. P value <0.05 will be considered significant.

outcome : Neonatal mortality and morbidity in terms of hospital stay can be found out using physiologic factor , lab parameters and perinatal factors

Detailed Description

Not available

Recruitment & Eligibility

Status
Closed to Recruitment of Participants
Sex
All
Target Recruitment
165
Inclusion Criteria

Neonates within 48 hours of life admitted to NICU are included.

Exclusion Criteria

1.NEONATES WITH CONGENITAL MALFORMATIONS INCOMPATIBLE WITH LIFE 2.OUTBORN NEONATES WHERE APGAR SCORES ARE NOT KNOWN.

Study & Design

Study Type
Observational
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Neonatal mortality and morbidity in terms of hospital stay can be found using physiological factors (mean blood pressure, temperature, uine output, presence of multiple seizures) laboratory parameters (arterial blood gas analysis for pH and pO2) and perinatal factors (birth weight, gestational age, apgar score at 5 minutes)Neonatal mortality and morbidity in terms of hospital stay can be found using physiological factors (mean blood pressure, temperature, uine output, presence of multiple seizures) laboratory parameters (arterial blood gas analysis for pH and pO2) and perinatal factors (birth weight, gestational age, apgar score at 5 minutes)
Secondary Outcome Measures
NameTimeMethod
Neonatal mortality and morbidity in terms of hospital stay can be found using physiological factors (mean blood pressure, temperature, uine output, presence of multiple seizures) laboratory parameters (arterial blood gas analysis for pH and pO2) and perinatal factors (birth weight, gestational age, apgar score at 5 minutes)Neonatal mortality and morbidity in terms of hospital stay can be found using physiological factors (mean blood pressure, temperature,uine output, presence of multiple seizures) laboratory parameters (arterial blood gas analysis for pH and pO2) and perinatal factors (birth weight, gestational age,apgar score at 5 minutes)

Trial Locations

Locations (1)

Neonatal intensive care unit

🇮🇳

Bagalkot, KARNATAKA, India

Neonatal intensive care unit
🇮🇳Bagalkot, KARNATAKA, India
DR ASHOK V BADAKALI
Principal investigator
9880227403
ashok_diya@yahoo.com

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