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CTRI Number  CTRI/2026/02/103831 [Registered on: 13/02/2026] Trial Registered Prospectively
Last Modified On: 14/02/2026
Post Graduate Thesis  Yes 
Type of Trial  Observational 
Type of Study   Cross Sectional Study 
Study Design  Other 
Public Title of Study   How Accurately PIM-3 Score Predict Death in Children in the Intensive Care Unit  
Scientific Title of Study   Accuracy of the Paediatric Index of Mortality 3 Score in Predicting Mortality in the Paediatric Intensive Care Unit (PICU). 
Trial Acronym  Nil 
Secondary IDs if Any  
Secondary ID  Identifier 
Nil  NIL 
 
Details of Principal Investigator or overall Trial Coordinator (multi-center study)  
Name  Gundewar Saurabh Vilas 
Designation  Junior Resident 
Affiliation  Datta Meghe Institute Of Higher Education and Research  
Address  Department of Pediatric, Jawaharlal Nehru Medical College, Sawangi Meghe ,Wardha

Wardha
MAHARASHTRA
442004
India 
Phone  9028292612  
Fax    
Email  saurabhgundewar111@gmail.com  
 
Details of Contact Person
Scientific Query
 
Name  Amar Taksande 
Designation  Professor and HOD 
Affiliation  Datta Meghe Institute Of Higher Education and Research 
Address  Department of Pediatric, Jawaharlal Nehru Medical College, Sawangi Meghe ,Wardha

Wardha
MAHARASHTRA
442004
India 
Phone  9822369233  
Fax    
Email  AMAR.TAKSANDE@gmail.com  
 
Details of Contact Person
Public Query
 
Name  Amar Taksande 
Designation  Professor and HOD 
Affiliation  Datta Meghe Institute Of Higher Education and Research 
Address  Department of Pediatric, Jawaharlal Nehru Medical College, Sawangi Meghe ,Wardha

Wardha
MAHARASHTRA
442004
India 
Phone  9822369233  
Fax    
Email  AMAR.TAKSANDE@gmail.com  
 
Source of Monetary or Material Support  
Jawaharlal Nehru Medical College, Sawangi Meghe ,Wardha 442004 
 
Primary Sponsor  
Name  JNMC 
Address  Sawangi Meghe , Wardha, Maharashtra, India, 442004 
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 Saurabh Gundewar   DATTA MEGHE INSTITUTE OF HIGHER EDUCATION & RESEARCH  Department of Pediatric, Jawaharlal Nehru Medical College, Sawangi Meghe, Wardha
Wardha
MAHARASHTRA 
90282 92612

saurabhgundewar111@gmail.com 
 
Details of Ethics Committee  
No of Ethics Committees= 1  
Name of Committee  Approval Status 
INSTITUTIONAL ETHICS COMMITTEE  Approved 
 
Regulatory Clearance Status from DCGI  
Status 
Not Applicable 
 
Health Condition / Problems Studied  
Health Type  Condition 
Patients  (1) ICD-10 Condition: R688||Other general symptoms and signs,  
 
Intervention / Comparator Agent  
Type  Name  Details 
Intervention  Nil  Nil 
Intervention  Nil  Nil 
Intervention  Nil  Nil 
 
Inclusion Criteria  
Age From  1.00 Month(s)
Age To  18.00 Year(s)
Gender  Both 
Details  All critically ill children aged between 1month to 18 years of age admitted to PICU 
 
ExclusionCriteria 
Details  Patients discharged or transferred within 24 hours of PICU admission  
 
Method of Generating Random Sequence   Not Applicable 
Method of Concealment   Not Applicable 
Blinding/Masking   Not Applicable 
Primary Outcome  
Outcome  TimePoints 
Survived or died  During ICU stay 
 
Secondary Outcome  
Outcome  TimePoints 
Nil  Nil 
 
Target Sample Size   Total Sample Size="293"
Sample Size from India="293" 
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)   23/02/2026 
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="2"
Months="0"
Days="0" 
Recruitment Status of Trial (Global)
Modification(s)  
Not Applicable 
Recruitment Status of Trial (India)  Open to Recruitment 
Publication Details   N/A 
Individual Participant Data (IPD) Sharing Statement

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

Brief Summary   Accurate prediction of mortality in the Pediatric Intensive Care Unit (PICU) is essential for risk stratification, clinical decision-making, benchmarking, and quality improvement. Several severity-of-illness scoring systems have been developed for this purpose, among which the Pediatric Index of Mortality (PIM) and Pediatric Risk of Mortality (PRISM) scores are the most widely used. The original PIM score, developed by Shann et al., was designed to estimate mortality risk based on physiological and diagnostic variables collected at the time of PICU admission. Subsequent revisions led to PIM2 and the currently used PIM3, which incorporates updated diagnostic categories and coefficients to improve predictive accuracy and calibration.
PIM3 has been validated across multiple international PICU settings and has generally demonstrated good discriminatory ability, with reported area under the receiver operating characteristic curve (AUROC) values ranging from approximately 0.75 to 0.90. Its main advantage lies in its simplicity and early applicability, as it relies on data obtained within the first hour of PICU admission. This makes PIM3 particularly useful for early outcome prediction, audit, and inter-unit comparisons. However, studies have shown variability in calibration and predictive performance across different regions, especially in low- and middle-income countries, likely due to differences in case mix, disease severity, healthcare resources, and admission practices.
In contrast, the PRISM III score, developed by Pollack et al., uses a more comprehensive set of physiological variables collected over the first 12–24 hours of PICU stay. While PRISM III is often considered highly accurate, its complexity and reliance on later data limit its utility for immediate risk assessment. Comparative studies between PIM3 and PRISM III have shown that both scores have comparable discrimination, though PRISM III may offer slightly better calibration in some settings, whereas PIM3 remains more practical for routine use.
Given these variations, several authors have emphasized the importance of local and center-specific validation of mortality prediction models before their routine application. Such validation ensures that the scoring system accurately reflects local patient populations and care practices. In this context, evaluating the performance of PIM3 in a tertiary care PICU setting is justified to determine its accuracy, calibration, and applicability for mortality prediction, quality assurance, and benchmarking against established tools such as PRISM III.
 
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