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Cited by 9Hepatocellular Carcinoma Treatment and PrognosisOrgan Transplantation Techniques and OutcomesLiver physiology and pathology

Predictive Ability of Preoperative PT-INR and Postoperative MCP1 for Post-hepatectomy Liver Failure

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ARISAKA, SAYAKA, MATSUYAMA, RYUSEI, GOTO, KOKI, SUWA, YUSUKE, MORI, RYUTARO, MORIOKA, DAISUKE, TAGURI, MASATAKA, ENDO, ITARU·2020·In Vivo
DOI 10.21873/invivo.11899PMC PMC7279821
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Abstract

BACKGROUND: We sought a diagnostic tool using perioperative variables that might predict post-hepatectomy liver failure (PHLF). PATIENTS AND METHODS: In 68 patients undergoing major hepatectomy, data on inflammatory markers and coagulation factors were prospectively collected and were compared between patients with International Study Group of Liver Surgery definition grade B/C PHLF (LF group) and those without LF (non-LF group). RESULTS: Preoperatively, the LF group (n=9; 13.2%) had a lower platelet count and a disintegrin-like and metalloproteinase with thrombospondin type 1 motifs 13 (ADAMTS13) activity and a higher prothrombin time-International Normalized Ratio (PT-INR) than the non-LF group. On postoperative day 1, the LF group had significantly higher serum interleukin 6 (IL6), C-C motif chemokine ligand 2 (CCL2), and IL10 levels than the non-LF group. The logistic regression model that included preoperative PT-INR and CCL2 on postoperative day 1 predicted grade B/C PHLF with 100% sensitivity and 89.8% specificity. CONCLUSION: Our findings suggest that the combination of preoperative PT-INR and CCL2 on postoperative day 1 can predict PHLF earlier and precisely after major hepatectomy.

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  • In Arisaka et al. 2020, preoperative serum IL-6 levels were comparable in CR-PHLF and no CR-PHLF groups, but postoperative levels were markedly higher in patients with liver failure on POD1, 3, and 5, with a peak on POD1.

    “While preoperative serum IL-6 levels were comparable in both groups, significant differences were noted postoperatively, with markedly higher levels in patients with liver failure on POD1, 3, and 5, with a peak on POD1.”

    From The Role of Perioperative Interleukin-6 Serum Levels on Liver Dysfunction and Infectious Complications After Hepatectomy—A Systematic Review (2025) · cites this paper as [30]

    The Clinical characteristics section reports comparable preoperative inflammatory markers, significantly higher IL-6 in the liver-failure group on POD1 and POD5, and an IL-6 peak on POD1. It does not explicitly report a significant between-group IL-6 difference on POD3, so that part of the claim is not established by our copy. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

  • In Arisaka et al. 2020, the combination of IL-6 with preoperative platelet count increased predictive potential (AUC = 0.838).

    “The combination of IL-6 with preoperative platelet count further increased its’ predictive potential (AUC = 0.838).”

    From The Role of Perioperative Interleukin-6 Serum Levels on Liver Dysfunction and Infectious Complications After Hepatectomy—A Systematic Review (2025) · cites this paper as [30]

    Table III (Discussion) reports 0.838 for the combination of preoperative platelet count and postoperative day 1 IL6, but explicitly identifies the combination values as Youden indices, not AUCs. Table II reports AUCs for the individual markers, not an AUC of 0.838 for their combination. (LLM, conf=0.90)

    Experimental — accuracy not yet measured

  • Arisaka et al. reported a cut-off of 106 pg/mL (77.8% sensitivity and 91.5% specificity) in major hepatectomy patients to predict ISGLS-PHLF with an AUC of 0.791.

    “a cut-off of 106 pg/mL (77.8% sensitivity and 91.5% specificity) was reported in major hepatectomy patients by Arisaka et al. to predict ISGLS-PHLF with an AUC of 0.791 [30].”

    From The Role of Perioperative Interleukin-6 Serum Levels on Liver Dysfunction and Infectious Complications After Hepatectomy—A Systematic Review (2025) · cites this paper as [30]

    Table II reports an AUC of 0.791, 77.8% sensitivity, and 91.5% specificity for predicting grade B/C PHLF in the major-hepatectomy cohort. Its cut-off is 106.5 pg/mL, not 106 pg/mL, and it applies to postoperative-day-1 IL6; the CCL2/MCP1 cut-off is 241.5 pg/mL. The indexed Table II passage has no page number. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

  • In Arisaka et al. 2020, the AUC for POD1-IL-6 for CR-PHLF was 0.791 (compared to 0.929 for POD1-bilirubin), with a calculated cut-off of 106.5 pg/mL (77.8% sensitivity and 91.5% specificity).

    “The area-under-the-curve (AUC) for POD1-IL-6 for CR-PHLF was 0.791 (compared to 0.929 for POD1-Bilirubin), with a calculated cut-off of 106.5 pg/mL (77.8% sensitivity and 91.5% specificity).”

    From The Role of Perioperative Interleukin-6 Serum Levels on Liver Dysfunction and Infectious Complications After Hepatectomy—A Systematic Review (2025) · cites this paper as [30]

  • In Arisaka et al. 2020, CR-PHLF had a clear association with severe morbidity (Clavien-Dindo grade >= 3) and mortality rate (33%).

    “Furthermore, CR-PHLF in this study had a clear association with severe morbidity (Clavien–Dindo grade ≥ 3) and mortality rate (33%).”

    From The Role of Perioperative Interleukin-6 Serum Levels on Liver Dysfunction and Infectious Complications After Hepatectomy—A Systematic Review (2025) · cites this paper as [30]

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Research works printed but not linked: 43

  1. Poon RT, Fan ST, Lo CM, Liu CL, Lam CM, Yuen WK, Yeung C and Wong J: Improving perioperative outcome expands the role of hepatectomy in management of benign and malignant hepatobiliary diseases: analysis of 1222 consecutive patients from a prospective database. Ann Surg 240(4): 698-708, 2004. PMID: 15383797. DOI: 10.1097/01.sla.0000141195.66155.0c · DOI
  2. Jarnagin WR, Gonen M, Fong Y, DeMatteo RP, Ben-Porat L, Little S, Corvera C, Weber S and Blumgart LH: Improvement in perioperative outcome after hepatic resection: analysis of 1,803 consecutive cases over the past decade. Ann Surg 236(4): 397-406, 2002. PMID: 12368667. DOI: 10.1097/01.SLA. 0000029003.66466.B3 · DOI
  3. Laurent C, Sa Cunha A, Couderc P, Rullier E and Saric J: Influence of postoperative morbidity on long-term survival following liver resection for colorectal metastases. Br J Surg 90(9): 1131-1136, 2003. PMID: 12945082. DOI: 10.1002/ bjs.4202 · DOI
  4. Vibert E, Pittau G, Gelli M, Cunha AS, Jamot L, Faivre J, Benitez CC, Castaing D and Adam R: Actual incidence and long-term consequences of posthepatectomy liver failure after hepatectomy for colorectal liver metastases. Surgery 155: 94- 105, 2014. PMID: 24694360 .DOI: 10.1016/j.surg.2013.05.039. · DOI
  5. Kenjo A, Miyata H, Gotoh M, Kitagawa Y, Shimada M, Baba H, Tomita N, Kimura W, Sugihara K and Mori M: Risk stratification of 7,732 hepatectomy cases in 2011 from the National Clinical Database for Japan. J Am Coll Surg 218(3): 412-422, 2014. PMID: 24468222. DOI: 10.1016/j.jamcollsurg.2013.11.007. · DOI
  6. Okamoto E, Kyo A, Yamanaka N, Oriyama T, Tomoda F and Kyo A: Prediction of the safe limits of hepatectomy by combined volumetric and functional measurements in patients with impaired hepatic function. Surgery 95(5): 586-592, 1984. PMID: 8031659. DOI: 10.1007/978-1-4615-2604-9_24. · DOI
  7. Imamura H, Sano K, Sugawara Y, Kokudo N and Makuuchi M: Assessment of hepatic reserve for indication of hepatic resection: decision tree incorporating indocyanine green test. J Hepatobiliary Pancreat Surg 12: 16-22, 2005. PMID: 15754094. DOI: 10.1007/s00534-004-0965-9 · DOI
  8. Yamanaka N, Okamoto E, Kuwata K and Tanaka N: A multiple regression equation for prediction of posthepatectomy liver failure. Ann surg 200(5): 658-663, 1984. PMID: 6486915. DOI: 10.1097/00000658-198411000-00018. · DOI
  9. Nagino M, Kamiya J, Nishino H, Ebata T, Arai T and Nimura Y: Two hundred forty consecutive portal vein embolization before extended hepatectomy for biliary cancer: surgical outcome and long-term follow-up. Ann Surg 243: 364-372, 2006. PMID: 16495702. DOI: 10.1097/01.sla.0000201482.11876.14 · DOI
  10. Rahbari NN, Garden OJ, Padbury R, Brooke-Smith M, Crawford M, Adam R, Koch M, Makuuchi M, Dematteo RP, Christophi C, Banting S, Usatoff V, Nagino M, Maddern G, Hugh TJ, Vauthey J-N, Greig P, Rees M, Yokoyama Y, Fan ST, Nimura Y, Figueras J, Capussotti L, Büchler MW and Weitz J: Posthepatectomy Liver failure: a definition and grading by the International Study Group of Liver Surgery (ISGLS). Surgery 149: 713-724, 2011. PMID: 21236455. DOI: 10.1016/j.surg. 2010.10.001 · DOI · Paper page
  11. Skyzypczyk C, Truant S, Duhamel A, Langlois C, Boleslawski E, Koriche D, Hebbar M, Fourrier F, Mathurin P and Pruvot FR: Relevance of the ISGLS definition of posthepatectomy liver failure in early prediction of poor outcome after liver resection: Study on 680 hepatectomies. Ann Surg 260(5): 865-870, 2014. PMID: 25243550. DOI: 10.1097/SLA.0000000000000944 · DOI
  12. Paugam-Burtz C, Janny S, Delefosse D, Dahmani S, Dondero F, Mantz J and Belghiti J: Prospective validation of the "fifty- fifty" criteria as an early and accurate predictor of death after liver resection in intensive care unit patients. Ann Surg 249(1): 124-128, 2009. PMID: 19106687. DOI: 10.1097/SLA. 0b013e31819279cd · DOI
  13. Mullen JT, Ribero D, Reddy SK, Donadon M, Zorzi D, Gautam S, Abdalla EK, Curley SA, Capussotti L, Clary BM and Vauthey J-N: Hepatic insufficiency and mortality in 1,059 noncirrhotic patients undergoing major hepatectomy. J Am Coll Surg 204(5): 854-862, 2007. PMID: 17481498. DOI: 10.1016/j.jamcollsurg. 2006.12.032 · DOI · Paper page
  14. Dhainaut JF, Marin N, Mignon A and Vinsonneau C: Hepatic response to sepsis: interaction between coagulation and inflammatory processes. Crit Care Med 29(7 Suppl): S42-47, 2001. PMID: 11445733. DOI: 10.1097/00003246-200107001-00016 15 · DOI
  15. Gando S: Microvascular thrombosis and multiple organ dysfunction syndrome. Cirt Care Med 38: S35-42, 2010. PMID: 20083912. DOI: 10.1097/CCM.0b013e3181c9e31d · DOI
  16. Levi M and van der Poll T: Inflammation and coagulation. Crit Care Med 38: S26-34, 2010. PMID: 20083910. DOI: 10.1097/CCM.0b013e3181c98d21 · DOI
  17. Uusitalo-Seppala R, Koskinen P, Leino A, Peuravuori H, Vahlberg T and Rintala EM: Early detection of severe sepsis in the emergency room: Diagnostic value of plasma C-reactive protein, procalcitonin, and interleukin-6. Scand J Infect Dis 43: 883-890, 2011. PMID: 21892899. DOI: 10.3109/ 00365548.2011.600325 · DOI
  18. Miguel-Bayarri V, Casanoves-Laparra EB, Pallas-Beneyto L, Sancho-Chinesta S, Martín-Osorio LF, Tormo-Calandín C and Bautista-Rentero D: Prognostic value of the biomarkers procalcitonin, interleukin-6 and C-reactive protein in severe sepsis. Med Intensiva 36: 556-562, 2012. PMID: 22495097. DOI: 10.1016/j.medin.2012.01.014 · DOI
  19. Tschaikowsky K, Hedwig-Geissing M, Braun GG and Radespiel-Troeger M: Predictive value of procalcitonin, interleukin-6, and C-reactive protein for survival in postoperative patients with severe sepsis. J Crit Care 26: 54-64, 2011. PMID: 20646905. DOI: 10.1016/j.jcrc.2010.04.011 · DOI
  20. Palmiere C and Augsburger M: Markers for sepsis diagnosis in the forensic setting: state of the art. Croat Med J 55: 103-114, 2014. PMID: 24778096. DOI: 10.3325/cmj.2014.55.103 · DOI
  21. Lorente L, Martín MM, Borreguero-León JM, Barrios Y, Solé- Violán J, Ferreres J, Labarta L, Díaz C and Jiménez A: The 4G/4G genotype of PAI-1 polymorphism is associated with higher plasma PAI-1 concentrations and mortality in patients with severe sepsis. PLoS One 10(6): e0129565, 2015. PMID: 26066833. DOI: 10.1371/journal.pone.0129565 · DOI
  22. Kubota T, Takabe K, Yang M, Sekido H, Endo I, Ichikawa Y, Togo S and Shimada H: Minimum sizes for remnant and transplanted livers in rats. J Hepatobiliary Pancreat Surg 4(4): 398-404, 1997.
  23. Hasegawa S, Kubota T, Fukuyama N, Kurosawa H, Sekido H, Togo S, Nakazawa H and Shimada H: Apoptosis of hepatocytes is a main cause of inducing lethal hepatic failure after excessive hepatectomy in rats. Transplant Proc 31: 558- 559, 1999. PMID: 10083236. DOI: 10.1016/s0041- 1345(98)01554-1 · DOI
  24. Watanabe K, Togo S, Takahashi T, Matsuyama R, Yamamoto H, Shimizu T, Makino H, Matsuo K, Morioka D, Kubota T, Nagashima Y and Shimada H: PAI-1 plays an important role in liver failure after excessive hepatectomy in the rat. J Surg Res 143(1): 13-19, 2007. PMID: 17655862. DOI: 10.1016/ j.jss.2007.04.041 · DOI
  25. Kubota K, Makuuchi M, Kusaka K, Kobayashi T, Miki K, Hasegawa K, Harihara Y and Takayama T: Measurement of liver volume and hepatic functional reserve as a guide to decision-making in resectional surgery for hepatic tumors. Hepatology 26: 1176, 1997. PMID: 9362359. DOI: 10.1053/ jhep.1997.v26.pm0009362359 · DOI
  26. Kokame K, Nobe Y, Kokubo Y, Okayama A and Miyata T: FRETS-VWF73, a first fluorogenic substrate for ADAMTS13 assay. Br J Haematol 129(1): 93-100, 2005. PMID: 15801961. DOI: 10.1111/j.1365-2141.2005.05420.x · DOI
  27. Dindo D, Demartines N and Clavien PA: Classification of surgical complecations: A new proposal with evaluation in a cohort of 6336 patients and results of a surgery. Ann Surg 240: 205-213, 2004. PMID: 15273542. DOI: 10.1097/01.sla. 0000133083.54934.ae · DOI
  28. Tomimaru Y, Eguchi H, Gotoh K, Kawamoto K, Wada H, Asaoka T, Noda T, Yamada D, Ogawa H, Umeshita K, Nagano H, Doki Y and Mori M: Platelet count is more useful for predicting posthepatectomy liver failure at surgery for hepatocellular carcinoma than indocyanine green clearance test. J Surg Oncol 113(5): 565-569, 2016. PMID: 26751258. DOI: 10.1002/jso.24166 · DOI
  29. Kudo M, Todo A, Ikekubo K and Hino M: Receptor Index via hepatic asialoglycoprotein receptor imaging: Correlation with chronic hepatocellular damage. Am J Gastroenterol 87: 865-870, 1992. PMID: 1615940.
  30. Suehiro T, Matsumata T, Shikada Y, Shimada M, Shirabe K and Sugimachi K: Preoperative hyaluronic acid measurement to assess the hepatic functional reserve. Hepatogastroenterology 51(60): 1776-1779, 2004. PMID: 15532824.
  31. Chong CC, Wong GL, Chan AW, Wong VW, Fong AK, Cheung Y, Wong J, Lee KF, Chan SL, Lai PB and Chan HL: Liver stiffness measurement predicts high-grade post-hepatectomy liver failure: A prospective cohort study. J Gastroenterol Hepatol 32(2): 506-514, 2017. PMID: 27490702. DOI: 10.1111/jgh.13503 · DOI
  32. Nishio T, Taura K, Koyama Y, Tanabe K, Yamamoto G, Okuda Y, Ikeno Y, Seo S, Yasuchika K, Hatano E, Okajima H, Kaido T, Tanaka S and Uemoto S: Prediction of post-hepatectomy liver failure based on liver stiffness measurement in patients with hepatocellular carcinoma. Surgery 159: 399-408, 2016. PMID: 26209567. DOI: 10.1016/j.surg.2015.06.024 · DOI
  33. Shimada H, Matsuba A, Nimoto S, Fujita H, Nakagawara G and Tsuchiya S: Liver failure after hepatic resection. J Jpn Surg 90: 566-572, 1989. PMID: 2761525.
  34. Alkozai EM, Nijsten MW, de Jong KP, de Boer MT, Peeters PMJG, Slooff MJ, Porte RJ and Lisman T: Immediate postoperative low platelet count is associated with delayed liver function recovery after partial liver resection. Ann Surg 251: 300-306, 2010. PMID: 19779326. DOI: 10.1097/SLA. 0b013e3181b76557 · DOI · Paper page
  35. Yoshimura T, Robinson EA, Tanaka S, Appella E, Kuratsu J and Leonard EJ: Purification and amino acid analysis of two human glioma-derived monocyte chemoattractants. J Exp Med 169: 1449-1459, 1898. PMID: 2926329. DOI: 10.1084/jem.169. 4.1449 · DOI
  36. Kimura F, Shimizu H, Yoshidome H, Ohtsuka M, Kato A, Yoshitomi H, Nozawa S, Furukawa K, Mitsuhashi N, Sawada S, Takeuchi D, Ambiru S and Miyazaki M: Circulating cytokines, chemokines, and stress hormones are increased in patients with organ dysfunction following liver resection. J Surg Res 133: 102-112, 2006. PMID: 16386757. DOI: 10.1016/j.jss. 2005.10.025 · DOI · Paper page
  37. Strey CW, Marquez-Pinilla RM, Markiewski MM, Siegmund B, Oppermann E, Lambris JD and Bechstein WO: Early post- operative measurement of cytokine plasma levels combined with pre-operative bilirubin levels identify high-risk patients after liver resection. Int J Mol Med 27: 447-454, 2011. PMID: 21206966. DOI: 10.3892/ijmm.2010.592 · DOI · Paper page
  38. Seki E, de Minicis S, Inokuchi S, Taura K, Miyai K, van Rooijen N, Schwabe RF and Brenner DA: CCR2 promotes hepatic in vivo 34: 1255-1263 (2020) fibrosis in mice. Hepatology 50(1): 185-197, 2009. PMID: 19441102. DOI: 10.1002/hep.22952 · DOI
  39. Degré D, Lemmers A, Gustot T, Ouziel R, Trépo E, Demetter P, Verset L, Quertinmont E, Vercruysse V, Le Moine O, Devière J and Moreno C: Hepatic expression of CCL2 in alcoholic liver disease is associated with disease severity and neutrophil infiltrates. Clin Exp Immunol 169(3): 302-310, 2012. PMID: 22861370. DOI: 10.1111/j.1365-2249.2012.04609.x · DOI
  40. Uemura M, Fujimura Y, Matsumoto M, Ishizashi H, Kato S, Matsuyama T, Isonishi A, Ishikawa M, Yagita M, Morioka C, Yoshiji H, Tsujimoto T, Kurumatani N and Fukui H: Comprehensive analysis of ADAMTS13 in patients with liver cirrhosis. Thromb Haemost 99: 1019-1029, 2008. PMID: 18521503. DOI: 10.1160/TH08-01-0006 · DOI
  41. Hugenholtz G, Adelmeijer J, Meijers J, Porte RJ, Stravitz RTand Lisman T: An unbalance between von Willebrand factor and ADAMTS13 in acute liver failure: Implications for hemostasis and clinical outcome. Hepatology 58: 752-761, 2013. PMID: 23468040. DOI: 10.1002/hep.26372 · DOI
  42. Sgroi A, Gonelle-Gispert C, Morel P, Baertschiger RM, Niclauss N, Mentha G, Majno P, Serre-Beinier V and Buhler L: Interleukin-1 receptor antagonist modulates the early phase of liver regeneration after partial hepatectomy in mice. PLoS One 6(9): e25442, 2011. PMID: 21980458. DOI: 10.1371/journal. pone.0025442 · DOI
  43. Natori S, Fujii Y, Kurosawa H, Nakano A and Shimada H: Prostaglandin E 1 protects against ischemia-reperfusion injury of the liver by inhibition of neutrophil adherence to endothelial cells. Transplantation 64: 1514-1520, 1997. PMID: 9415549. DOI: 10.1097/00007890-199712150-00002 · DOI

Cited by

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Authors
ARISAKA, S., MATSUYAMA, R., GOTO, K., SUWA, Y., MORI, R., MORIOKA, D., TAGURI, M., & ENDO, I.
Affiliations
Yokohama City University (JP)
ORCID
Venue
In Vivo
Publisher
International Institute of Anticancer Research
Published
2020
Volume
34
Issue
3
Pages
1255-1263
ISSN
  • 0258-851X (ISSN-L)
  • 1791-7549
DOI
10.21873/invivo.11899
PMC
PMC7279821
OpenAlex
W3023617389
Cited by
9
References
1
Citations by year
2026: 2 · 2025: 2 · 2024: 2 · 2023: 1 · 2022: 1 · 2021: 1
FWCI
0.44
Type
journal article
Language
en
Open access
Locations
  • In Vivo (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Hepatology › Hepatocellular Carcinoma Treatment and Prognosis
  • Health Sciences › Medicine › Surgery › Organ Transplantation Techniques and Outcomes
  • Health Sciences › Medicine › Hepatology › Liver physiology and pathology
Keywords
post-hepatectomy liver failure, major hepatectomy, PT-INR, MCP-1, ADAMTS13, interleukin-6, IL-10, inflammatory markers, coagulation factors, predictive biomarkers, perioperative risk prediction
MeSH terms
Female, Hepatectomy, Humans, Male, Postoperative Complications, Postoperative Period, ROC Curve, Biomarkers, Cytokines, Liver Failure, Inflammation Mediators, Chemokine CCL2, International Normalized Ratio, Preoperative Period

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