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©The Author(s) 2024.
World J Gastroenterol. Mar 14, 2024; 30(10): 1329-1345
Published online Mar 14, 2024. doi: 10.3748/wjg.v30.i10.1329
Published online Mar 14, 2024. doi: 10.3748/wjg.v30.i10.1329
Table 1 Reported risk factors for postoperative pancreatic fistula after pancreaticoduodenectomy
Stage | Factors |
Preoperative | (1) Sex, (2) age, (3) BMI, (4) weight, (5) weight loss, (6) smoking history, (7) hypertension, (8) diabetes mellitus, (9) history of acute pancreatitis, (10) history of abdominal surgery, (11) chronic steroid use, (12) ASA score, (13) preoperative biliary drainage, (14) preoperative chemotherapy, (15) albumin, (16) bilirubin, (17) alanine transaminase, (18) creatine, (19) tumor site, (20) MPD diameter, (21) MPD index1, (22) pancreatic thickness, (23) pancreatic density, (24) pancreatic texture, (25) relation with PV on CT, (26) pancreatic density index, (27) intra-abdominal fat thickness, (28) visceral adipose tissue, (29) total adipose tissue, (30) sarcopenic obesity, (31) L3 subcutaneous fat area, (32) pancreatic remnant volume, (33) stump area, (34) fat score, (35) atrophy score, (36) A/L ratio, (37) subcutaneous fat index, (38) radiomics score, (39) combined radiomics score, (40) liver density, (41) muscle attenuation, (42) PS SIratio, (43) PM SIratio, (44) fat mass at BIVA, (45) SWV value of pancreas, (46) MIPD experience, (47) preoperative diagnosis |
Intraoperative | (A) MPD diameter, (B) pancreatic texture, (C) operating time, (D) estimated blood loss, (E) transfusion, (F) intraoperative colloid infusion, (G) surgical approach, (H) minimally invasive approach, (I) open conversion, (J) pancreatic anastomosis, (K) gastrojejunostomy, (L) extended lymphadenectomy, (M) venous resection, (N) nasojejunal feeding tube |
Postoperative | (a) Postoperative DFA, (b) change of postoperative DFA, (c) WBC on POD1, (d) change of postoperative WBC, (e) neutrophil on POD3, (f) postoperative CRP, (g) temperature on POD3, (h) postoperative albumin, (i) albumin difference2, (j) postoperative CRP/albumin, (k) serum creatinine on POD1, (l) hyperamylasemia on POD1-2, (m) serum lipase on POD1, (n) DFL on POD1, (o) pathology, (p) PV invasion, (q) pancreatic fibrosis, (r) pancreatic steatosis, (s) deep surgical site infection, (t) DGE |
Table 2 Reported risk factors for postoperative pancreatic fistula after distal pancreatectomy
Preoperative | Intraoperative | Postoperative |
(1) Age | (A) Epidural use | (a) CRP on POD1 |
(2) BMI | (B) Operating time | (b) DFA on POD1 |
(3) Diabetes mellitus | (C) Estimated blood loss | (c) DFA on POD3 |
(4) Coronary artery disease | (D) Transfusion | (d) Change of postoperative DFA |
(5) ASA score | (E) Pancreatic texture | (e) Pathology |
(6) Albumin | (F) Transection site | |
(7) MPD diameter | (G) Splenectomy | |
(8) Pancreatic thickness | (H) Vascular resection | |
(9) Pancreatic neck major diameter | ||
(10) Pancreatic neck minor diameter | ||
(11) Predicted pancreatic neck area |
Table 3 Reported risk factors for postoperative pancreatic fistula after central pancreatectomy
Preoperative | Intraoperative | Postoperative |
(1) Sex | (A) Operating time | (a) Pathology |
(2) BMI | (B) Pancreatic texture | |
(3) Diabetes mellitus | (C) Transection site | |
(4) Cephalic MPD diameter | (D) Pancreatic anastomosis | |
(5) Distal MPD diameter | ||
(6) Pancreatic thickness |
Table 4 Preoperative prediction models of postoperative pancreatic fistula after pancreaticoduodenectomy
Ref. | Year | Country | Center | Study period | Design cohort | CR-POPF (%) | Variables5 | C-index/AUC (95%CI) | Validation |
Wellner et al[13] | 2010 | Germany | Single | 2006-2008 | 62 | 30.64 | (2)(5)(6)(9)(47) | Internal | |
Yamamoto et al[14] | 2011 | Japan | Single | 2004-2007 | 279 | 36.9 | (1)(21)(25)(27)(47) | 0.808 (0.757-0.860) | Internal |
Roberts et al[15] | 2014 | United Kingdom | Single1 | 2007-2012 | 217 | 22.14 | (3)(20) | 0.832 (0.768-0.897) | Internal |
Casadei et al[42] | 2015 | Italy | Single | 2008-2012 | 2082 | 20.2 | (3)(20)(47) | ||
Zhang et al[43] | 2018 | China | Single | 80 | 42.54 | (38) | 0.825 (0.736-0.913) | Internal | |
Shi et al[44] | 2020 | China | Multi | 2009-2019 | 718 | 15.6 | (20)(32)(33)(34)(35) | 0.729 (0.678-0.775) | External |
Yu et al[17] | 2021 | China | Single | 2016-2018 | 124 | 25.8 | (21)(23) | 0.775 (0.687-0.862) | Internal |
Lin et al[19] | 2021 | China | Single | 2013-2019 | 175 | 21.1 | (38) | 0.801 (0.719-0.884) | Internal |
(39) | 0.871 (0.816-0.926) | ||||||||
Tang et al[45] | 2021 | China | Single | 2013-2019 | 239 | 19.7 | (3)(20)(36) | 0.823 (0.769-0.877) | |
Lapshyn et al[46] | 2021 | Germany | Single1 | 2012-2018 | 120 | 193 | (1)(20)(22) | 0.808 (0.726-0.874) | Internal |
Perri et al[41] | 2021 | Italy | Multi | 2017-2019 | 566 | 20 | (3)(20) | 0.70 (0.63-0.77) | External |
Savin et al[47] | 2021 | Romania | Single | 2015-2020 | 78 | 28.2 | (20)(23)(32) | 0.846 (0.694-0.941) | |
(20)(32)(40) | 0.774 (0.599-0.850) | ||||||||
Skawran et al[48] | 2021 | Switzerland | Single | 2008-2018 | 62 | 27.4 | (43) | 0.75 (0.63-0.84) | |
Box et al[49] | 2021 | United States | Single | 2013-2018 | 220 | 15.94 | (3)(20)(37) | 0.822 | |
(3)(20)(26) | 0.757 | ||||||||
(3)(20)(26)(37) | 0.844 | ||||||||
Kolbinger et al[50] | 2022 | Germany | Single | 2012-2021 | 195 | 28.7 | (20)(24)(47) | 0.82 | Internal |
(20)(24)(32)(47) | 0.83 | ||||||||
Maqueda González et al[51] | 2022 | Spain | Single | 2010-2019 | 103 | 30.1 | (20)(29) | 0.78 (0.68-0.87) | |
Zou et al[52] | 2023 | China | Single | 2015-2021 | 125 | 17.6 | (20)(28)(42) | 0.903 | Internal |
Tian et al[53] | 2023 | China | Single1 | 2020-2021 | 1432 | 36 | (20)(45) | 0.866 | Internal |
Table 5 Machine learning prediction models of postoperative pancreatic fistula after pancreaticoduodenectomy
Ref. | Year | Country | Center | Study period | Design cohort | CR-POPF (%) | C-index/AUC (95%CI) | Validation |
Mu et al[54] | 2020 | China | Multi | 2006-2019 | 359 | 15.6 | 0.85 (0.80-0.90) | Internal-external |
Han et al[55] | 2020 | Korea | Single | 2007-2016 | 1769 | 12.5 | 0.74 | |
Skawran et al[48] | 2021 | Switzerland | Single | 2008-2018 | 62 | 27.4 | 0.82 (0.74-0.89), 0.74 (0.63-0.89), 0.90 (0.84-0.95) | Internal |
Giovinazzo et al[56] | 2021 | Multinational | Multi | 1638 | 27 | 0.962 (0.940-0.984) | ||
Shen et al[57] | 2022 | China | Single | 2010-2021 | 2421 | 17.5 | 0.79-0.81 | Internal |
Long et al[58] | 2022 | China | Multi | 2012-2021 | 618 | 18.1 | 0.897 (0.370-1.424) | Internal |
Capretti et al[59] | 2022 | Italy | Single1 | 2011-2019 | 100 | 20 | 0.807, 0.749 | Internal |
Chen et al[60] | 2022 | United States | Nationwide | 2014-2019 | 13940 | 14.4 | 0.746 (0.733-0.760) | Internal-external |
Zheng et al[61] | 2023 | China | Single | 2013-2021 | 2572 | 21.8 | 0.977 | Internal |
Ingwersen et al[22] | 2023 | Netherlands | Nationwide | 2014-2020 | 4912 | 16.3 | 0.74 (0.73-0.74) | |
Verma et al[62] | 2023 | United States | Nationwide | 2014-2018 | 8597 | 11 | 0.74 (0.72-0.76) | Internal-external |
Ashraf Ganjouei et al[63] | 2023 | United States | Nationwide | 2014-2019 | 8666 | 13 | 0.67-0.72 | Internal |
Ingwersen et al[64] | 2023 | Multinational | Multi | 2013-2018 | 118 | 42.4 | 0.9 (0.71-0.99), 0.86, 0.81, 0.8 | Internal-external |
Table 6 Intraoperative prediction models of postoperative pancreatic fistula after pancreaticoduodenectomy
Ref. | Year | Country | Center | Study period | Design cohort | CR-POPF (%) | Variables5 | C-index/AUC (95%CI) | Validation |
Kim et al[67] | 2013 | Korea | Single | 2003-2008 | 100 | 414 | (A)(B)(M) | 0.728 (0.630-0.812) | Internal |
Chen et al[68] | 2015 | China | Single | 2008-2013 | 921 | 9.7 | (3)(A)(B)(D)(E) | 0.812 (0.766-0.858) | |
Kantor et al[69] | 2017 | United States | Nationwide | 2011-2012 | 1731 | 18.3 | (1)(3)(16)(A)(B) | 0.70 (0.65-0.74) | Internal-external |
Li et al[70] | 2019 | China | Single | 2011-2014 | 189 | 20.1 | (15)(A)(B)(D) | 0.821 (0.736-0.905) | Internal |
Mungroop et al[37] | 2019 | Multinational | Multi | 2007-2016 | 1924 | 124 | (3)(20)(B) | 0.75 (0.71-0.78) | Internal-external |
Angrisani et al[21] | 2020 | Italy | Multi1 | 2016-2018 | 148 | 19.6 | (44)(A)(B)(D) | 0.774 (0.683-0.866) | |
(44)(A)(B) | 0.784 (0.680-0.888) | ||||||||
Zhang et al[16] | 2021 | China | Single | 2012-2020 | 232 | 7.8 | (7)(8)(10)(B)(K) | 0.916 | |
Mungroop et al[38] | 2021 | Multinational | Multi | 2007-2017 | 9522 | 21 | (1)(3)(20)(B) | 0.75 (0.71-0.79) | External |
Kolbinger et al[50] | 2022 | Germany | Single | 2012-2021 | 195 | 28.7 | (47)(A)(B) | 0.82 | Internal |
Lucassen et al[18] | 2022 | Netherlands | Single | 2009-2018 | 329 | 16.7 | (20)(41)(B) | 0.73 (0.68-0.79) | |
(20)(28)(B) | 0.81 (0.75-0.86) | ||||||||
(20)(28)(41)(B) | 0.81 (0.75-0.86) | ||||||||
Zheng et al[61] | 2023 | China | Single | 2013-2021 | 257 | 21.8 | (3)(20)(B) | 0.743 | Internal |
Hayashi et al[71] | 2023 | Japan | Single | 2010-2021 | 169 | 22.5 | (30)(31)(B) | 0.832 | |
Ingwersen et al[22] | 2023 | Netherlands | Nationwide | 2014-2020 | 4912 | 16.3 | (1)(3)(5)(13)(16)(19)(A)(B)(G)(J)(M)(N) | 0.73 | |
Schuh et al[65] | 2023 | Multinational | Multi | 2004-2019 | 55333 | 15.7 | (A)(B) | External |
Table 7 Postoperative prediction models of postoperative pancreatic fistula after pancreaticoduodenectomy
Ref. | Year | Country | Center | Study period | Design cohort | CR-POPF (%) | Variables6 | C-index/AUC (95%CI) | Validation |
Gaujoux et al[31] | 2010 | France | Single1 | 2004-2005 | 100 | 24 | (3)(q)(r) | 0.82 | |
Callery et al[34] | 2013 | United States | Single1 | 2002-2007 | 233 | 13 | (A)(B)(D)(o) | 0.942 | Internal |
Xia et al[23] | 2018 | China | Single | 2009-2017 | 225 | 17.8 | (A)(B)(L)(h) | 0.813 (0.737-0.889) | Internal |
Xingjun et al[72] | 2019 | China | Multi | 2014-2017 | 457 | 12.65 | (A)(q)(r) | 0.868 | External |
You et al[73] | 2019 | Korea | Single | 2007-2016 | 1771 | 12.5 | (1)(3)(12)(15)(A)(o) | 0.709 | Internal |
Guo et al[74] | 2020 | China | Single | 2012-2016 | 220 | 22.7 | (A)(B)(o)(p) | 0.793 (0.731-0.855) | Internal |
Li et al[75] | 2021 | China | Single | 2018-2020 | 176 | 21.1 | (a)(e)(f)(g)(k) | 0.814 (0.736-0.892) | |
Shen et al[76] | 2021 | China | Single | 2016-2020 | 302 | 16.6 | (3)(B)(a)(i) | 0.87 (0.81-0.94) | Internal |
Liu et al[77] | 2021 | China | Single | 2016-2019 | 2514 | 7.6 | (15)(18)(a)(j) | 0.866 (0.737-0.996) | |
(15)(18)(a)(j) | 0.896 (0.814-0.978) | ||||||||
(15)(18)(a)(j) | 0.888 (0.806-0.971) | ||||||||
Huang et al[78] | 2021 | China | Multi | 2010-2018 | 762 | 11.4 | (3)(A)(a) | 0.934 (0.914-0.950) | External |
Guilbaud et al[79] | 2021 | France | Multi1 | 2017-2019 | 1823 | 21.2 | (a)(f) | 0.834 (0.769-0.900) | |
Honselmann et al[20] | 2021 | Germany | Single | 2012-2017 | 182 | 16 | (12)(A)(C)(c)(m) | 0.903 | Internal |
(12)(B)(c)(d)(m) | 0.891 | ||||||||
Suzuki et al[80] | 2021 | Japan | Single | 2007-2012 | 349 | 17.5 | (20)(B)(b)(n) | ||
Al Abbas et al[81] | 2021 | United Sates | Nationwide | 2014-2016 | 9867 | 13.9 | (1)(2)(3)(7)(8)(A)(B)(o) | 0.70 (0.69-0.71) | Internal |
Yin et al[82] | 2022 | China | Single | 2012-2016 | 662 | 16.3 | (17)(A)(F)(M)(o) | 0.667 | Internal |
(A)(F)(a)(e) | 0.809 | ||||||||
Gu et al[24] | 2023 | China | Nationwide | 2014-2017 | 36092 | 16.7 | (4)(20)(B)(o)(s)(t) | 0.855 (0.702-0.853) | External |
Bannone et al[83] | 2023 | Italy | Single1 | 2016-2021 | 905 | 20.2 | (A)(B)(D)(a)(o) | 0.85 (0.82-0.87) | |
(A)(B)(D)(a)(l)(o) | 0.87 (0.84-0.89) | ||||||||
(A)(B)(D)(a)(f)(l)(o) | 0.90 (0.87-0.91) | ||||||||
Choi et al[84] | 2023 | Korea | Multi | 2012-2020 | 4294 | 12.4 | (12)(20)(46)(B)(E)(H)(I)(o) | 0.739 (0.668-0.800) | Internal |
van Dongen et al[85] | 2023 | Netherlands | Nationwide | 2014-2018 | 3271 | 14.6 | (1)(3)(8)(20)(o) | 0.73 | External |
Raza et al[86] | 2023 | United Kingdom | Multi | 2009-2019 | 187 | 12.8 | (1)(a)(f)(h) | 0.78 | External |
Mohamed et al[87] | 2023 | United Sates | Nationwide | 2015-2018 | 5975 | 17 | (1)(3)(14)(A)(B)(o) | 0.72 (0.704-0.737) | |
Ahmad et al[88] | 2023 | United States | Nationwide | 2014-2017 | 2417 | 12.6 | (3)(11)(B)(C)(a) | 0.720 (0.687-0.752) | Internal |
(3)(11)(B)(C)(a)(b) | 0.758 (0.726-0.789) |
Table 8 Postoperative pancreatic fistula prediction models after distal pancreatectomy
Ref. | Year | Country | Center | Design cohort | Study period | CR-POPF (%) | Variables3 | AUC (95%CI) | Validation |
Ecker et al[25] | 2019 | Multinational | Multi | 2026 | 2001-2016 | 15.1 | (1)(2)(6)(A)(G)(H)(e) | 0.654 (0.620-0.688) | |
Guilbaud et al[79] | 2021 | France | Multi1 | 922 | 2017-2019 | 21.2 | (a)(b) | 0.762 (0.640-0.885) | |
Rollin et al[90] | 2022 | France | Single | 103 | 2015-2019 | 32 | (2)(8)(B)(c) | 0.83 (0.75-0.92) | |
Nassour et al[91] | 2022 | USA | Nationwide | 692 | 2014-2018 | 15.9 | (1)(B)(D)(b) | 0.731 (0.685-0.796) | Internal |
(1)(B)(b)(d) | 0.791 (0.742-0.836) | ||||||||
Bonsdorff et al[89] | 2022 | Multinational | Multi | 266 | 2013-2021 | 19.5 | (3)(8)(F) | 0.904 (0.855-0.949) | Internal-external |
He et al[92] | 2023 | China | Single | 115 | 2005-2020 | 33 | (2)(6)(8)(E) | 0.842 (0.762-0.921) | |
Pecorelli et al[26] | 2023 | Italy | Single | 220 | 2016-2019 | 33.6 | (2)(3)(4)(5) | 0.651 (0.58-0.73) | Internal |
(2)(9)(10)(C) | 0.725 (0.66-0.79) | ||||||||
(5)(11)(C) | 0.733 (0.64-0.80) | ||||||||
De Pastena et al[27] | 2023 | Multinational | Multi1 | 339 | 2014-2016 | 23 | (7)(8) | 0.731 (0.70-0.76) | Internal-external |
(2)(7)(8)(B)(E) | 0.851 (0.80-0.90) | Internal |
Table 9 Postoperative pancreatic fistula prediction models after central pancreatectomy
Ref. | Year | Design cohort | Study period | CR-POPF (%) | Variables1 | AUC (95%CI) |
Ouyang et al[94] | 2022 | 194 | 2009-2020 | 45.9 | (2)(D) | 0.678 |
Yang et al[95] | 2023 | 115 | 2010-2022 | 30.4 | (2)(4)(5)(6) | 0.832 (0.751-0.895) |
(2)(4)(5)(6)(B) | 0.827 (0.745-0.891) | |||||
(1)(2)(4)(5)(6)(B) | 0.828 (0.746-0.892) | |||||
(1)(2)(3)(4)(5)(6)(a) | 0.826 (0.744-0.890) | |||||
(2)(4)(5)(6)(A)(B) | 0.845 (0.766-0.906) | |||||
(2)(4)(5)(6)(A)(B) | 0.847 (0.768-0.907) | |||||
(1)(2)(4)(5)(6)(A)(B) | 0.823 (0.741-0.888) | |||||
(1)(2)(3)(4)(5)(6)(A)(B)(a) | 0.840 (0.760-0.902) | |||||
(2)(3)(5)(6)(C) | 0.758 (0.669-0.833) | |||||
(2)(3)(5)(6)(B)(C) | 0.748 (0.659-0.824) | |||||
(1)(2)(3)(5)(6)(B)(C) | 0.784 (0.698-0.855) | |||||
(1)(2)(3)(5)(6)(C)(a) | 0.750 (0.661-0.826) |
- Citation: Yang F, Windsor JA, Fu DL. Optimizing prediction models for pancreatic fistula after pancreatectomy: Current status and future perspectives. World J Gastroenterol 2024; 30(10): 1329-1345
- URL: https://www.wjgnet.com/1007-9327/full/v30/i10/1329.htm
- DOI: https://dx.doi.org/10.3748/wjg.v30.i10.1329