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Volume 23, Issue 3 (7-2025)                   Int J Radiat Res 2025, 23(3): 557-562 | Back to browse issues page


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Xu K, Zhou J, Tu H, Feng C, Qiao J, Shi N et al . Predictive value of modified CT severity index (MCTSI) combined with clinical indicators in the condition of acute pancreatitis. Int J Radiat Res 2025; 23 (3) :557-562
URL: http://ijrr.com/article-1-6530-en.html
Department of Pharmacy, Affiliated Children’s Hospital of Jiangnan University, Wuxi 214000, China , 18626326208@163.com
Abstract:   (583 Views)
Background: To investigate the predictive value of Modified CT Severity Index (MCTSI) score combined with clinical indicators on the severity of early acute pancreatitis (AP). Materials and Methods: We collected 180 cases of AP patients admitted to our hospital from January 2020 to December 2023, and divided them into 32 cases of severe acute pancreatitis group (SAP group) and 148 cases of non-SAP group (non-SAP group) according to the severity of the disease. Comparing the clinical indexes of the two groups, the variables were included in logistic regression analysis to explore the independent risk factors of SAP, and were incorporated into R software to construct a predictive Nomogram model, and the predictive efficacy was evaluated by using subjects' work characteristic curves (ROC), and plotting calibration curves. Results: MCTSI score (OR=6.358, 95% CI:3.214-15.348), C-reactive protein (CRP) (OR=3.061, 95% CI:1.325-7.730), blood creatinine (Cr) (OR=1.032, 95% CI:1.020-1.041), and calcium (Ca2+) (OR=0.040, 95% CI:0.008-0.173) were independent risk factors for the occurrence of SAP (P<0.05). (95% CI:0.008-0.173) were independent risk factors for the occurrence of SAP (P<0.05). The results of ROC curve analysis showed that the Nomogram model had a high predictive value for the occurrence of SAP, with an area under the curve (AUC) of 0.910, which was significantly higher than the MCTSI score (AUC of 0.809), CRP (AUC of 0.790), Cr (AUC of 0.736), and Ca2+ (AUC of 0.781). Conclusion: The construction of a Nomogram model by combining MCTSI score, CRP, Cr, and D-D has an important application in the early prediction of AP severity.
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Type of Study: Original Research | Subject: Radiation Biology

References
1. 1. Zhao G, Zhao G, Wang Ya, et al. (2024) Research progress of calcium signaling and its inhibitors in acute pancreatitis. Chinese Journal of Cell Biology, 46(3): 576-583.
2. Petrov MS and Yadav D (2019) Global epidemiology and holistic prevention of pancreatitis. Nat Rev Gastroenterol Hepatol, 16(3): 175-184. [DOI:10.1038/s41575-018-0087-5]
3. Banks PA, Bollen TL, Dervenis C, et al. (2013) Classification of acute pancreatitis -2012: revision of the Atlanta classification and definitions by international consensus. Gut, 62(1): 102-111. [DOI:10.1136/gutjnl-2012-302779]
4. Qu C, Duan Z, Xiao X, et al. (2022) Nonthyroidal illness syndrome in acute pancreatitis patients: an 8-year cohort study. BMC Gastroenterol, 22(1): 40. [DOI:10.1186/s12876-022-02111-5]
5. Tian F, Lin T, Zhu Q,et al. (2022) Correlation between severity of illness and levels of free triiodothyronine, interleukin-6, and interleukin-10 in patients with acute pancreatitis. Med Sci Monit, 28:e933230. [DOI:10.12659/MSM.933230]
6. Li S, Guo Z, Chen Z, et al. (2021) Diagnostic value of serum D-dimer, interleukin-6, C-reactive protein and calcitoninogen tests in acute pancreatitis. Chinese Medical Science ,11(23): 155-158.
7. Liang Y, Zhao X, Meng F (2019) Procalcitonin, C-reactive protein, and neutrophil ratio contribute to the diagnosis and prognosis of severe acute pancreatitis. Iran J Public Health, 48(12): 2177-2186. [DOI:10.18502/ijph.v48i12.3548]
8. Mortele KJ, Wiesner W, Intriere L, et al. (2004) A modified CT severity index for evaluating acute pancreatitis: improved correlation with patient outcome. Am J Roentgenol, 183(5): 1261-1265. [DOI:10.2214/ajr.183.5.1831261]
9. Ning XQ and Peng J (2022) Predictive value of modified CT severity index combined with BISAP score for early acute pancreatitis. Journal of Clinical Radiology, 41(4): 659-663.
10. Banks PA, Bollen TL, Dervenis C, et al. (2013) Classification of acute pan-creatitis 2012: revision of the Atlanta classification and definitions by international consensus. Gut, 62(1): 102-111. [DOI:10.1136/gutjnl-2012-302779]
11. Pancreatic Surgery Group of the Chinese Medical Association Surgical Branch (2021) Guidelines for the diagnosis and treatment of acute pancreatitis in China. Chinese Journal of Surgery, 59(7): 578-587.
12. Han SB, Chen D, Chen QY, et al. (2022) One-step laparoscopic pancreatic necrosectomy verse surgical step-up approach for infected pancreatic necrosis: a case-control study. World J Emerg Med, 13(4): 274-282. [DOI:10.5847/wjem.j.1920-8642.2022.058]
13. Zhu XG, Jiang JM, Li YX, et al. (2023) Development and validation of a nomogram for predicting survival in patients with acute pancreatitis. World J Emerg Med, 14(1): 44-48. [DOI:10.5847/wjem.j.1920-8642.2023.022]
14. Tan JW, Zhang XQ, Geng CM, et al. (2020) Development of the national early warning score-calcium model for predicting adverse outcomes in patients with acute pancreatitis. J Emerg Nurs, 46(2): 171-179. [DOI:10.1016/j.jen.2019.11.003]
15. Sanchez-Garcia A, Rodriguez-Gutierrez R, Mancillas-Adame L, et al. (2020) Diagnostic accuracy of the triglyceride and glucose index for insulin resistance: a systematic review. Int J Endocrin, 2020: 4678526. [DOI:10.1155/2020/4678526]
16. Peng R, Zhang L, Zhang ZM, et al. (2020) Chest computed tomography semi-quantitative pleural effusion and pulmonary consolidation are early predictors of acute pancreatitis severity. Quant Imaging Med Surg, 10(2): 451-463. [DOI:10.21037/qims.2019.12.14]
17. Zeng QX, Jiang KL, Wu ZH, et al. (2021) Pleural effusion is associated with severe renal dysfunction in patients with acute pancreatitis. Med Sci Monit, 27: e928118. [DOI:10.12659/MSM.928118]
18. Yan X and Shin D (2020) Overview and outlook of serum markers for early prediction of acute pancreatitis severity. World Chinese Digestive Journal, 28(16): 796-801. [DOI:10.11569/wcjd.v28.i16.796]
19. Venkatesh NR, Vijayakumar C, Balasubramaniyan G, et al. (2020) Comparison of different scoring systems in predicting the severity of acute pancreatitis: A prospective observational study. Cureus, 12: e6943. [DOI:10.7759/cureus.6943]
20. Mayer AD, McMahon MJ, Bowen M, et al. (1984) C reactive protein: an aid to assessment and monitoring of acute pancreatitis. J Clin Pathol, 37(2): 207-211. [DOI:10.1136/jcp.37.2.207]
21. Ning J, Li Q, Chen X, et al. (2022) Predictive value of blood calcium, C-reactive protein and serum ferritin on the severity of acute pancreatitis. Journal of Guangxi Medical University, 39(9): 1409-1413.
22. Khanna AK, Meher S, Prakash S, et al. (2013) Comparison of Ranson, Glasgow, MOSS, SIRS, BISAP, APACHE-II, CTSI scores, IL-6, CRP, and procalcitonin in predicting severity, organ failure, pancreatic necrosis, and mortality in acute pancreatitis. HPB Surgery, 2013: 367581. [DOI:10.1155/2013/367581]
23. Muddana V, Whitcomb DC, Khalid A, et al. (2009) Elevated serum creatinine as a marker of pancreatic necrosis in acute pancreatitis. Am J Gastroenterol, 104(1): 164-170. [DOI:10.1038/ajg.2008.66]
24. Jinting G, Wang R, Yang N, et al. (2021) Predictive value of blood urea nitrogen, blood creatinine and C-reactive protein on the severity and prognosis of acute pancreatitis. Chinese Journal of Clinicians, 49(8): 956-958.
25. Wiese ML, Urban S, Von Rheinbaben S, et al. (2022) Identification of early predictors for infected necrosis in acute pancreatitis. BMC Gastroenterol, 22(1): 405. [DOI:10.1186/s12876-022-02490-9]
26. Condon J, Ives D, Knight M, et al. (1975) The etiology of hypocalcemia in acute pancreatitis. Br J Surg, 62(2): 115-118. [DOI:10.1002/bjs.1800620209]
27. Wang Z and Dong J (2023) Study on the predictive value of TyG index, Ca2+ and CRP on the severity of acute pancreatitis. Journal of Hepatobiliary Surgery, 31(5): 364-367.
28. Chen Q, Xu D, Yang J et al. (2023) Discussion on the predictive value of plain CT combined with clinical indicators for severe acute pancreatitis. Chinese Journal of Emergency Medicine, 32(10): 1333-1339.

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