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CTRI Number  CTRI/2018/05/014170 [Registered on: 29/05/2018] Trial Registered Retrospectively
Last Modified On: 11/05/2018
Post Graduate Thesis  Yes 
Type of Trial  Observational 
Type of Study   observational 
Study Design  Other 
Public Title of Study   Using SNAPPE II scoring system in the babies admitted in NICU for predicting mortality and morbidity - An observational study 
Scientific Title of Study   Score for neonatal acute physiology with perinatal extension –II (SNAPPE –II) in predicting mortality and morbidity in NICU – An observation study. 
Trial Acronym   
Secondary IDs if Any  
Secondary ID  Identifier 
NIL  NIL 
 
Details of Principal Investigator or overall Trial Coordinator (multi-center study)  
Name  Dr Ashok V Badakali 
Designation  Professor 
Affiliation  S.N.Medical college,Bagalkot 
Address  Dept of Pediatrics, S.N.Medical college,Bagalkot.

Bagalkot
KARNATAKA
587102
India 
Phone  9880227403  
Fax    
Email  ashok_diya@yahoo.com  
 
Details of Contact Person
Scientific Query
 
Name  Dr Madhunandan K 
Designation  Post graduate/ Junior resident 
Affiliation  S.N.Medical college, Bagalkot. 
Address  Dept of Pediatrics, S.N.Medical college, Bagalkot.

Bagalkot
KARNATAKA
587102
India 
Phone  9844554001  
Fax    
Email  madhunandangowda7@gmail.com  
 
Details of Contact Person
Public Query
 
Name  Dr Madhunandan K 
Designation  Post graduate/ Junior resident 
Affiliation  S.N.Medical college, Bagalkot. 
Address  Dept of Pediatrics, S.N.Medical college, Bagalkot.

Bagalkot
KARNATAKA
587102
India 
Phone  9844554001  
Fax    
Email  madhunandangowda7@gmail.com  
 
Source of Monetary or Material Support  
SNMC and HSK Hospital 
 
Primary Sponsor  
Name  Dr Ashok V Badakali 
Address  Department of pediatrics SNMC and HSK Hospital Bagalkot- 587102 
Type of Sponsor  Private medical college 
 
Details of Secondary Sponsor  
Name  Address 
NIL  NIL 
 
Countries of Recruitment     India  
Sites of Study  
No of Sites = 1  
Name of Principal Investigator  Name of Site  Site Address  Phone/Fax/Email 
DR ASHOK V BADAKALI  Neonatal intensive care unit  Department of pediatrics SNMC AND HSK hospital Bagalkot - 587102
Bagalkot
KARNATAKA 
9880227403

ashok_diya@yahoo.com 
 
Details of Ethics Committee  
No of Ethics Committees= 1  
Name of Committee  Approval Status 
SNMC - INSTITUTIONAL ETHICS COMMITTEE ON HUMAN SUBJECTS RESEARCH  Approved 
 
Regulatory Clearance Status from DCGI  
Status 
Not Applicable 
 
Health Condition / Problems Studied  
Health Type  Condition 
Patients  sick newborn,  
 
Intervention / Comparator Agent  
Type  Name  Details 
 
Inclusion Criteria  
Age From  0.00 Day(s)
Age To  2.00 Day(s)
Gender  Both 
Details  Neonates within 48 hours of life admitted to NICU are included. 
 
ExclusionCriteria 
Details  1.NEONATES WITH CONGENITAL MALFORMATIONS INCOMPATIBLE WITH LIFE
2.OUTBORN NEONATES WHERE APGAR SCORES ARE NOT KNOWN  
 
Method of Generating Random Sequence   Not Applicable 
Method of Concealment   Not Applicable 
Blinding/Masking   Not Applicable 
Primary Outcome  
Outcome  TimePoints 
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  
Outcome  TimePoints 
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) 
 
Target Sample Size   Total Sample Size="165"
Sample Size from India="165" 
Final Enrollment numbers achieved (Total)= "Applicable only for Completed/Terminated trials"
Final Enrollment numbers achieved (India)="Applicable only for Completed/Terminated trials" 
Phase of Trial   N/A 
Date of First Enrollment (India)   11/11/2016 
Date of Study Completion (India) Applicable only for Completed/Terminated trials 
Date of First Enrollment (Global)  Date Missing 
Date of Study Completion (Global) Applicable only for Completed/Terminated trials 
Estimated Duration of Trial   Years="1"
Months="0"
Days="0" 
Recruitment Status of Trial (Global)   Not Applicable 
Recruitment Status of Trial (India)  Closed to Recruitment of Participants 
Publication Details   N/A 
Individual Participant Data (IPD) Sharing Statement

Will individual participant data (IPD) be shared publicly (including data dictionaries)?  

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
 
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