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Patwa AK, Yadav K, Atam V, Usman K, Sonkar SK, Chaudhary SC, Kumar V, Sawlani KK, Gupta KK, Patel ML, Reddy DH, Gupta H, Gautam M, Kumar S, Kumar A, Yadav A, Bhagchandani D, Lamba M, Singh A, Mishra AK. Comparison of a Novel Score "NOD-ACLF" to Other Established Prognostic Scores for Prediction of Mortality in APASL-ACLF Patients: A Cohort Study from a Tertiary Care Center of North India. J Clin Exp Hepatol 2024; 14:101366. [PMID: 38495463 PMCID: PMC10940987 DOI: 10.1016/j.jceh.2024.101366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 02/14/2024] [Indexed: 03/19/2024] Open
Abstract
Background Commonly used prognostic scores for acute on-chronic liver failure (ACLF) have complex calculations. We tried to compare the simple counting of numbers and types of organ dysfunction to these scores, to predict mortality in ACLF patients. Methods In this prospective cohort study, ACLF patients diagnosed on the basis of Asia Pacific Association for Study of the Liver (APASL) definition were included. Severity scores were calculated. Prognostic factors for outcome were analysed. A new score, the Number of Organ Dysfunctions in Acute-on-Chronic Liver Failure (NOD-ACLF) score was developed. Results Among 80 ACLF patients, 74 (92.5%) were male, and 6 were female (7.5%). The mean age was 41.0±10.7 (18-70) years. Profile of acute insult was; alcohol 48 (60%), sepsis 30 (37.5%), variceal bleeding 22 (27.5%), viral 8 (10%), and drug-induced 3 (3.8%). Profiles of chronic insults were alcohol 61 (76.3%), viral 20 (25%), autoimmune 3 (3.8%), and non-alcoholic steatohepatitis 2 (2.5%). Thirty-eight (47.5%) were discharged, and 42 (52.5%) expired. The mean number of organ dysfunction (NOD-ACLF score) was ->4.5, simple organ failure count (SOFC) score was >2.5, APASL ACLF Research Consortium score was >11.5, Model for End-Stage Liver Disease-Lactate (MELD-LA) score was >21.5, and presence of cardiovascular and respiratory dysfunctions were significantly associated with mortality. NOD-ACLF and SOFC scores had the highest area under the receiver operating characteristic to predict mortality among all these. Conclusion The NOD-ACLF score is easy to calculate bedside and is a good predictor of mortality in ACLF patients performing similar or better to other scores.
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Affiliation(s)
- Ajay K. Patwa
- Gastroenterology and Hepatology Unit, Department of Medicine, King George's Medical University, Lucknow, India
| | - Khushboo Yadav
- Department of Medicine, King George's Medical University, Lucknow, India
| | - Virendra Atam
- Department of Medicine, King George's Medical University, Lucknow, India
| | - Kauser Usman
- Department of Medicine, King George's Medical University, Lucknow, India
| | | | - Shyam C. Chaudhary
- Department of Medicine, King George's Medical University, Lucknow, India
| | - Vivek Kumar
- Department of Medicine, King George's Medical University, Lucknow, India
| | - Kamal K. Sawlani
- Department of Medicine, King George's Medical University, Lucknow, India
| | - Kamlesh K. Gupta
- Department of Medicine, King George's Medical University, Lucknow, India
| | - Munna L. Patel
- Department of Medicine, King George's Medical University, Lucknow, India
| | - Dandu H. Reddy
- Department of Medicine, King George's Medical University, Lucknow, India
| | - Harish Gupta
- Department of Medicine, King George's Medical University, Lucknow, India
| | - Medhavi Gautam
- Department of Medicine, King George's Medical University, Lucknow, India
| | - Satish Kumar
- Department of Medicine, King George's Medical University, Lucknow, India
| | - Amit Kumar
- Department of Medicine, King George's Medical University, Lucknow, India
| | - Ambuj Yadav
- Department of Medicine, King George's Medical University, Lucknow, India
| | | | - Mahak Lamba
- Department of Medicine, King George's Medical University, Lucknow, India
| | - Abhishek Singh
- Department of Community Medicine and Public Health, King George's Medical University, Lucknow, India
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Singh SP, Patwa AK, Patel ML, Gupta H, Atam V, Verma SK, Jain A, Shukla S, Rungta S, Chandra A, Singh A. Detection of hepatitis B virus DNA in ascitic fluid of decompensated cirrhotic patients. Indian J Gastroenterol 2023; 42:585-588. [PMID: 37335523 DOI: 10.1007/s12664-023-01380-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Affiliation(s)
- Shiv Pratap Singh
- Department of Medicine, King George's Medical University, Lucknow, 226 003, India
| | - Ajay Kumar Patwa
- Department of Medicine, King George's Medical University, Lucknow, 226 003, India.
| | - M L Patel
- Department of Medicine, King George's Medical University, Lucknow, 226 003, India
| | - Harish Gupta
- Department of Medicine, King George's Medical University, Lucknow, 226 003, India
| | - Virendra Atam
- Department of Medicine, King George's Medical University, Lucknow, 226 003, India
| | - Sudhir Kumar Verma
- Department of Medicine, King George's Medical University, Lucknow, 226 003, India
| | - Amita Jain
- Department of Microbiology, King George's Medical University, Lucknow, 226 003, India
| | - Suruchi Shukla
- Department of Microbiology, King George's Medical University, Lucknow, 226 003, India
| | - Sumit Rungta
- Department of Medical Gastroenterology, King George's Medical University, Lucknow, 226 003, India
| | - Abhijit Chandra
- Department of Surgical Gastroenterology, King George's Medical University, Lucknow, 226 003, India
| | - Abhishek Singh
- Department of Community Medicine and Public Health, King George's Medical University, Lucknow, 226 003, India
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