Prospective evaluation of the novel BADCAL score for predicting colorectal anastomotic leak
- Ashish Kumar Sharma 1, Saket Kumar 1, Sanjay Kumar 1, Lakshit Tomar 1, Salman Ahmed 1, Manish Mandal 1
- 1Department of Surgical Gastroenterology, Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India.
- 0Department of Surgical Gastroenterology, Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India.
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October 13, 2025
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View abstract on PubMed
Summary
This summary is machine-generated.The novel BADCAL score accurately predicts colorectal anastomotic leaks in patients early post-surgery. A low BADCAL score (≤3) guarantees no leak, offering high confidence in patient outcomes.
Area Of Science
- Colorectal surgery outcomes
- Surgical complication prediction
- Postoperative patient monitoring
Background
- Colorectal anastomotic leak is a significant postoperative complication.
- Current scoring systems lack sensitivity and external validation.
- Need for a reliable tool to predict leaks early post-surgery.
Purpose Of The Study
- To develop and validate the BADCAL score for early prediction of colorectal anastomotic leaks.
- To assess the accuracy of BADCAL in stratifying patients by leak risk.
- To identify key predictors of anastomotic leak post-colorectal surgery.
Main Methods
- Prospective study of 109 colorectal surgery patients.
- BADCAL score developed using blood loss, ASA grade, surgery duration, CRP, albumin, and leukocyte count.
- Patients stratified into low (0-3), moderate (4-6), and high (7-11) risk groups.
Main Results
- 11.9% of patients experienced anastomotic leaks.
- BADCAL score showed excellent discrimination (AUC 0.97).
- A score ≤3 had 100% sensitivity and NPV for predicting no leak; scores ≥7 indicated high risk (71.4% leak rate).
Conclusions
- The BADCAL score is accurate and practical for early risk stratification of colorectal anastomotic leaks.
- The score aids in identifying high-risk patients needing closer monitoring.
- External validation is recommended to confirm generalizability.
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