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Title |
Sarcopenia with postoperative outcomes in patients undergoing pancreaticoduodenectomy
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Authors |
Nisha B Jain1, Javid Ahmad Peer2, Ishfaq Ahmad Gilkar3*, Anil Mehta4, Varun Dogra5, Umer Mushtaq2 & Seema Gafurjiwala5
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Affiliation |
1Department of Surgery, SKS Hospital Medical College and Research Centre, Mathura, Sir gangaram Hospital, New Delhi, India; 2Department of Surgical Gastroenterology, Gangaram Hospital, Delhi, India; 3Department of Surgical Oncology, Sher-i-Kashmir Institute of Medical Sciences, Jammu, India; 4Department of General Surgery, AIIMS, Jammu, India; 5Department of Statistics, The Indian Institute of Public Health, Hyderabad, India; *Corresponding author
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Nisha B Jain - E-mail: nishabjain1811@gmail.com
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Article Type |
Research Article
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Date |
Received January 1, 2026; Revised January 31, 2026; Accepted January 31, 2026, Published January 31, 2026
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Abstract |
The prevalence of sarcopenia in patients undergoing pancreaticoduodenectomy (PD) for pancreatic and periampullary tumors and its impact on postoperative outcomes is highly relevant. Therefore, it is of interest to investigate the prevalence of sarcopenia in patients undergoing pancreaticoduodenectomy (PD) for pancreatic and periampullary tumors. A prospective observational analysis of 50 patients revealed that sarcopenia, assessed through Psoas Muscle Index, Hand Grip Strength and Gait Speed, is a significant predictor of postoperative outcomes. Age did not notably affect sarcopenia prevalence, while factors such as gender, ECOG status and diabetes were identified as key risk factors. Gait speed was found to be the strongest predictor of mortality, emphasizing its potential as a primary diagnostic tool. The identification of sarcopenia as a significant predictor of postoperative outcomes in pancreaticoduodenectomy patients with gait speed emerging as the strongest predictor of mortality, offering a potential tool for preoperative assessment and improved patient management. |
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Keywords |
Pancreatic cancer, Sarcopenia, body mass index
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Citation |
Jain et al. Bioinformation 22(1): 66-70 (2026)
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Edited by |
Ritik Kashwani
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
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