FULL DETAILS (Read-only)  -> Click Here to Create PDF for Current Dataset of Trial
CTRI Number  CTRI/2026/04/109283 [Registered on: 24/04/2026] Trial Registered Prospectively
Last Modified On: 24/04/2026
Post Graduate Thesis  Yes 
Type of Trial  Observational 
Type of Study   Cohort Study 
Study Design  Other 
Public Title of Study   Postoperative c reactive protein testing to predict anastomotic leak in patients after bowel surgery  
Scientific Title of Study   Crp( c reactive protein) as a predictive marker in anastomotic leak 
Trial Acronym  Nil 
Secondary IDs if Any  
Secondary ID  Identifier 
NIL  NIL 
 
Details of Principal Investigator or overall Trial Coordinator (multi-center study)  
Name  Dr Arun Kumar Gupta  
Designation  Professor  
Affiliation  Sri guru Ramdas insitute of medical sciences and research,Vallabh,Amritsar  
Address  Surgery unit 4 floor 2nd south side sgrd vallah , Amritsar

Amritsar
PUNJAB
143501
India 
Phone  9855435868  
Fax    
Email  dr_arun_gupta@yahoo.co.in  
 
Details of Contact Person
Scientific Query
 
Name  Manpreet Sharma  
Designation  Surgery junior resident 
Affiliation  Sri guru Ramdas institute of medical sciences and research, vallah, Amritsar  
Address  Surgery unit 4 floor 2 south side , vallah, Amritsar

Amritsar
PUNJAB
143501
India 
Phone  8837880089  
Fax    
Email  Manpreet78sharma93@gmail.com  
 
Details of Contact Person
Public Query
 
Name  Dr Arun Kumar Gupta  
Designation  Professor  
Affiliation  Sri Guru Ramdas institute of medical sciences and research vallah, Amritsar  
Address  Surgery unit4 floor 2 nd south side ,Sgrd vallah, Amritsar

Amritsar
PUNJAB
143501
India 
Phone  9855435868  
Fax    
Email  Dr_arun_gupta@yahoo.co.in  
 
Source of Monetary or Material Support  
NIL 
 
Primary Sponsor  
Name  Sri guru ram Das university of medical sciences 
Address  Surgery unit 4 floor 2 nd south side room no 1vallah,sgrd,Amritsar , Punjab pin code 143501 
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 
DrArun Kumar Gupta   Department of Surgery   Sri guru ram das institute of medical sciences and research room no 1south side 2 nd floor ,vallah,Amritsar,Punjab pincode 143501
Amritsar
PUNJAB 
9855435868

dr_arun_gupta@yahoo.co.in 
 
Details of Ethics Committee  
No of Ethics Committees= 2  
Name of Committee  Approval Status 
Institutional Ethics Comitee  Approved 
Institutional ethics comittee  Approved 
 
Regulatory Clearance Status from DCGI  
Status 
Not Applicable 
 
Health Condition / Problems Studied  
Health Type  Condition 
Patients  (1) ICD-10 Condition: K639||Disease of intestine, unspecified,  
 
Intervention / Comparator Agent  
Type  Name  Details 
Intervention  Nil  Nil 
 
Inclusion Criteria  
Age From  18.00 Year(s)
Age To  80.00 Year(s)
Gender  Both 
Details  Patient aged 18 years and above
Patients undergoing elective gastrointestinal surgery involving vowel anastomosis ( eg colorectal,small bowed or gastric)
Patients with primary anastomosis without diverting stoma 
 
ExclusionCriteria 
Details   
 
Method of Generating Random Sequence   Not Applicable 
Method of Concealment   Not Applicable 
Blinding/Masking   Not Applicable 
Primary Outcome  
Outcome  TimePoints 
Diagnostic accuracy of postoperative C-reactive protein levels in predicting anastomotic leak, measured by sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the receiver operating characteristic (ROC) curve.  Primary time point-POD 3 CRP
Secondary time points- POD 4 and POD 5
Optional: include pod 1-2 for trend analysis  
 
Secondary Outcome  
Outcome  TimePoints 
NIL  NIL 
 
Target Sample Size   Total Sample Size="100"
Sample Size from India="50" 
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)   05/05/2026 
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="1"
Months="5"
Days="0" 
Recruitment Status of Trial (Global)   Not Yet Recruiting 
Recruitment Status of Trial (India)  Not Yet Recruiting 
Publication Details   N/A 
Individual Participant Data (IPD) Sharing Statement

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

Response - NO
Brief Summary   Crp as a predictive marker in anastomotic leak Anastomotic leak remains one of the most serious complications following gastrointestinal surgery, contributing significantly to postoperative morbidity, mortality, prolonged hospital stay, and increased healthcare costs. Early diagnosis of anastomotic leak is challenging due to its often subtle and nonspecific clinical presentation in the immediate postoperative period. Therefore, there is a need for reliable, easily available biomarkers that can facilitate early detection or safe exclusion of this complication.

C-reactive protein (CRP) is an acute-phase reactant synthesized by the liver in response to inflammatory stimuli and is routinely measured in the postoperative setting. This thesis evaluates the role of postoperative CRP as a predictive marker for anastomotic leak. Serial CRP levels were analyzed, with particular emphasis on postoperative day (POD) 3 to 5, a period during which physiological postoperative inflammation is expected to decline in uncomplicated cases.

The study demonstrates that persistently elevated or rising CRP levels beyond POD 3 are significantly associated with the development of anastomotic leak. CRP showed high diagnostic accuracy, particularly a high negative predictive value, indicating its usefulness in excluding anastomotic leak when levels fall below established cut-off values. Receiver operating characteristic (ROC) analysis identified optimal CRP thresholds for predicting anastomotic leak, supporting its role as an early warning marker.

 
Close