Lack of Association between Postoperative Pancreatitis and Other Postoperative Complications Following Pancreaticoduodenectomy
Abstract
:1. Introduction
2. Methods
2.1. Patient Database
2.2. Definitions
2.3. Statistical Analysis
3. Results
3.1. Patient Demographics
3.2. Comparative Analysis of Basic Characteristics and Postoperative Complications
3.3. Association between POAP and Postoperative Complications
3.4. Association between CR-POAP and Postoperative Complications
4. Discussion
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
References
- Whipple, A.O. Observations on radical surgery for lesions of the pancreas. Surg. Gynecol. Obstet. 1946, 82, 623–631. [Google Scholar] [PubMed]
- Connor, S. Defining post-operative pancreatitis as a new pancreatic specific complication following pancreatic resection. HPB 2016, 18, 642–651. [Google Scholar] [CrossRef] [Green Version]
- Bannone, E.; Andrianello, S.; Marchegiani, G.; Masini, G.; Malleo, G.; Bassi, C.; Salvia, R. Postoperative acute pancreatitis following pancreaticoduodenectomy: A determinant of fistula potentially driven by the intraoperative fluid management. Ann. Surg. 2018, 268, 815–822. [Google Scholar] [CrossRef]
- Kühlbrey, C.M.; Samiei, N.; Sick, O.; Makowiec, F.; Hopt, U.T.; Wittel, U.A. Pancreatitis after pancreatoduodenectomy predicts clinically relevant postoperative pancreatic fistula. J. Gastrointest. Surg. 2017, 21, 330–338. [Google Scholar] [CrossRef] [PubMed]
- Palani Velu, L.K.; Chandrabalan, V.V.; Jabbar, S.; McMillan, D.C.; McKay, C.J.; Carter, C.R.; Jamieson, N.B.; Dickson, E.J. Serum amylase on the night of surgery predicts clinically significant pancreatic fistula after pancreaticoduodenectomy. HPB 2014, 16, 610–619. [Google Scholar] [CrossRef] [Green Version]
- Palani Velu, L.K.; McKay, C.J.; Carter, C.R.; McMillan, D.C.; Jamieson, N.B.; Dickson, E.J. Serum amylase and C-reactive protein in risk stratification of pancreas-specific complications after pancreaticoduodenectomy. Br. J. Surg. 2016, 103, 553–563. [Google Scholar] [CrossRef] [Green Version]
- Cloyd, J.M.; Kastenberg, Z.J.; Visser, B.C.; Poultsides, G.A.; Norton, J.A. Postoperative serum amylase predicts pancreatic fistula formation following pancreaticoduodenectomy. J. Gastrointest. Surg. 2014, 18, 348–353. [Google Scholar] [CrossRef] [PubMed]
- Jin, S.; Shi, X.J.; Wang, S.Y.; Zhang, P.; Lv, G.Y.; Du, X.H.; Wang, G.Y. Drainage fluid and serum amylase levels accurately predict development of postoperative pancreatic fistula. World J. Gastroenterol. 2017, 23, 6357–6364. [Google Scholar] [CrossRef]
- Hwang, D.W.; Kim, H.J.; Lee, J.H.; Song, K.B.; Kim, M.H.; Lee, S.K.; Choi, K.T.; Jun, I.G.; Bang, J.Y.; Kim, S.C. Effect of enhanced recovery after surgery program on pancreaticoduodenectomy: A randomized controlled trial. J. Hepatobiliary Pancreat. Sci. 2019, 26, 360–369. [Google Scholar] [CrossRef] [PubMed]
- Owens, W.D.; Felts, J.A.; Spitznagel, E.L., Jr. ASA physical status classifications: A study of consistency of ratings. Anesthesiology 1978, 49, 239–243. [Google Scholar] [CrossRef]
- Birgin, E.; Reeg, A.; Téoule, P.; Rahbari, N.N.; Post, S.; Reissfelder, C.; Rückert, F. Early postoperative pancreatitis following pancreaticoduodenectomy: What is clinically relevant postoperative pancreatitis? HPB 2019, 21, 972–980. [Google Scholar] [CrossRef]
- Dindo, D.; Clavien, P.A. What is a surgical complication? World J. Surg. 2008, 32, 939–941. [Google Scholar] [CrossRef] [PubMed]
- Bassi, C.; Marchegiani, G.; Dervenis, C.; Sarr, M.; Abu Hilal, M.; Adham, M.; Allen, P.; Andersson, R.; Asbun, H.J.; Besselink, M.G.; et al. The 2016 update of the International Study Group (ISGPS) definition and grading of postoperative pancreatic fistula: 11 years after. Surgery 2017, 161, 584–591. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Harrell, F.E., Jr. Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis, 1st ed.; Springer: New York, NY, USA, 2001; p. 572. [Google Scholar]
- Sauerbrei, W.; Schumacher, M. A bootstrap resampling procedure for model building: Application to the Cox regression model. Stat. Med. 1992, 11, 2093–2109. [Google Scholar] [CrossRef]
- Partelli, S.; Pecorelli, N.; Muffatti, F.; Belfiori, G.; Crippa, S.; Piazzai, F.; Castoldi, R.; Marmorale, C.; Balzano, G.; Falconi, M. Early postoperative prediction of clinically relevant pancreatic fistula after pancreaticoduodenectomy: Usefulness of C-reactive protein. HPB 2017, 19, 580–586. [Google Scholar] [CrossRef] [Green Version]
- Welsch, T.; Frommhold, K.; Hinz, U.; Weigand, M.A.; Kleeff, J.; Friess, H.; Büchler, M.W.; Schmidt, J. Persisting elevation of C-reactive protein after pancreatic resections can indicate developing inflammatory complications. Surgery 2008, 143, 20–28. [Google Scholar] [CrossRef]
- Solaini, L.; Atmaja, B.T.; Watt, J.; Arumugam, P.; Hutchins, R.R.; Abraham, A.T.; Bhattacharya, S.; Kocher, H.M. Limited utility of inflammatory markers in the early detection of postoperative inflammatory complications after pancreatic resection: Cohort study and meta-analyses. Int. J. Surg. 2015, 17, 41–47. [Google Scholar] [CrossRef] [PubMed]
- Pieper-Bigelow, C.; Strocchi, A.; Levitt, M.D. Where does serum amylase come from and where does it go? Gastroenterol. Clin. N. Am. 1990, 19, 793–810. [Google Scholar]
- Ballantyne, C.M.; Nambi, V. Markers of inflammation and their clinical significance. Atheroscler. Suppl. 2005, 6, 21–29. [Google Scholar] [CrossRef] [PubMed]
- Nehring, S.M.; Goyal, A.; Bansal, P.; Patel, B.C. C Reactive Protein. In StatPearls; StatPearls Publishing: Treasure Island, FL, USA, 2020. [Google Scholar]
- Aoki, S.; Miyata, H.; Konno, H.; Gotoh, M.; Motoi, F.; Kumamaru, H.; Wakabayashi, G.; Kakeji, Y.; Mori, M.; Seto, Y.; et al. Risk factors of serious postoperative complications after pancreaticoduodenectomy and risk calculators for predicting postoperative complications: A nationwide study of 17,564 patients in Japan. J. Hepatobiliary Pancreat. Sci. 2017, 24, 243–251. [Google Scholar] [CrossRef]
- Cheng, H.G.; Phillips, M.R. Secondary analysis of existing data: Opportunities and implementation. Shanghai Arch. Psychiatry 2014, 26, 371–375. [Google Scholar] [CrossRef] [PubMed]
- Cole, A.P.; Trinh, Q.D. Secondary data analysis: Techniques for comparing interventions and their limitations. Curr. Opin. Urol. 2017, 27, 354–359. [Google Scholar] [CrossRef] [PubMed]
- Furberg, C.D.; Friedman, L.M. Approaches to data analyses of clinical trials. Prog. Cardiovasc. Dis. 2012, 54, 330–334. [Google Scholar] [CrossRef]
- Castle, J.E. Maximizing research opportunities: Secondary data analysis. J. Neurosci. Nurs. 2003, 35, 287–290. [Google Scholar] [CrossRef]
- Martin-Sanchez, F.J.; Aguiar-Pulido, V.; Lopez-Campos, G.H.; Peek, N.; Sacchi, L. Secondary use and analysis of big data collected for patient care. Yearb. Med. Inform. 2017, 26, 28–37. [Google Scholar] [CrossRef] [PubMed]
- Callery, M.P.; Pratt, W.B.; Kent, T.S.; Chaikof, E.L.; Vollmer, C.M., Jr. A prospectively validated clinical risk score accurately predicts pancreatic fistula after pancreatoduodenectomy. J. Am. Coll. Surg. 2013, 216, 1–14. [Google Scholar] [CrossRef] [PubMed]
- Miller, B.C.; Christein, J.D.; Behrman, S.W.; Drebin, J.A.; Pratt, W.B.; Callery, M.P.; Vollmer, C.M., Jr. A multi-institutional external validation of the fistula risk score for pancreatoduodenectomy. J. Gastrointest. Surg. 2014, 18, 172–180. [Google Scholar] [CrossRef]
POAP | Non-POAP | p Value | |
---|---|---|---|
(n = 191) | (n = 55) | ||
Age, years (mean ± SD) | 62.8 ± 9.4 | 63.9 ± 8.3 | 0.461 |
Sex, n (%) | 0.268 | ||
Female | 77 (40.3) | 17 (30.9) | |
Male | 114 (59.7) | 38 (69.1) | |
BMI, kg/m2 (mean ± SD) | 24.4 ± 3.1 | 24.0 ± 3.0 | 0.404 |
ASA score, n (%) | 0.448 | ||
Grade I | 21 (11.0) | 6 (10.9) | |
Grade II | 156 (81.7) | 42 (76.4) | |
Grade ≥ III | 14 (7.3) | 7 (12.7) | |
Preoperative CEA (mean ± SD) | 168.4 ± 221.6 | 177.8 ± 296.2 | 0.798 |
Preoperative CA 19-9 (mean ± SD) | 0.77 ± 0.18 | 0.78 ± 0.21 | 0.801 |
Preoperative biliary/pancreatic drainage, n (%) | 0.409 | ||
No | 83 (43.5) | 28 (50.9) | |
Yes | 108 (56.5) | 27 (49.1) | |
Preoperative cholangitis, n (%) | 0.733 | ||
No | 150 (78.5) | 45 (81.8) | |
Yes | 41 (21.5) | 10 (18.2) | |
ERAS group, n (%) | 1.000 | ||
Conventional group | 95 (49.7) | 28 (50.9) | |
Intervention group | 96 (50.3) | 27 (49.1) | |
Preoperative pancreatic duct size (mean ± SD) | 3.2 ± 2.1 | 4.1 ± 2.1 | 0.005 |
Pancreatic texture | < 0.0001 | ||
Soft | 138 (74.2) | 23 (41.8) | |
Firm | 48 (25.8) | 32 (58.2) | |
Pancreaticojejunostomy method, n (%) | 1.000 | ||
Duct-to-mucosa | 172 (90.1) | 49 (89.1) | |
Dunking | 19 (9.9) | 6 (10.9) | |
Tumor type, n (%) | 0.869 | ||
Adenocarcinoma | 138 (72.3) | 41 (74.5) | |
Others | 53 (27.7) | 14 (25.5) | |
Tumor location, n (%) | 0.004 | ||
Ampulla of Vater | 32 (16.8) | 8 (14.5) | |
Distal bile duct | 61 (31.9) | 6 (10.9) | |
Duodenum | 12 (6.3) | 2 (3.6) | |
Pancreas | 86 (45.0) | 39 (70.9) | |
Cancer, n (%) | 1.000 | ||
No | 48 (25.1) | 14 (25.5) | |
Yes | 143 (74.9) | 41 (74.5) | |
Retrieved lymph nodes in adenocarcinoma patients (mean ± SD) | 20.4 ± 8.6 | 19.1 ± 7.6 | 0.371 |
Resection margin status, n (%) | 0.948 | ||
R0 | 174 (91.0) | 51 (92.5) | |
R1 | 17 (9.0) | 4 (7.5) |
POAP | Non-POAP | p Value | |
---|---|---|---|
(n = 191) | (n = 55) | ||
Total complications | 0.255 | ||
No | 93 (48.7) | 22 (40.0) | |
Yes | 98 (51.3) | 33 (60.0) | |
Severe complications (Clavien–Dindo ≥ IIIa) | 0.333 | ||
No | 174 (91.1) | 47 (85.5) | |
Yes | 17 (8.9) | 8 (14.5) | |
CR-POPF (Grade B or C) | 1.000 | ||
No | 177 (92.7) | 51 (92.7) | |
Yes | 14 (7.3) | 4 (7.3) | |
Delayed gastric emptying | 0.685 | ||
No | 182 (95.3) | 51 (92.7) | |
Yes | 9 (4.7) | 4 (7.3) | |
Post-pancreatectomy hemorrhage | 1.000 | ||
No | 187 (97.9) | 54 (98.2) | |
Yes | 4 (2.1) | 1 (1.8) |
Univariable | Multivariable | ||||
---|---|---|---|---|---|
Variable | Odds Ratio (95% Confidence Interval) | p Value | Odds Ratio (95% Confidence Interval) | p Value | |
POAP | 0.703 (0.378–1.286) | 0.256 | 0.735 (0.393–1.356) | 0.327 | |
Age | 1.015 (0.988–1.044) | 0.280 | |||
Sex (Ref: Male) | 0.867 (0.518–1.453) | 0.589 | |||
BMI | 0.954 (0.877–1.036) | 0.264 | |||
ASA score (Ref: I) | 0.151 | 0.163 | |||
II | 1.383 (0.617–3.159) | 0.432 | 1.421 (0.630–3.268) | 0.399 | |
III | 3.125 (0.959–11.130) | 0.066 | 3.110 (0.946–11.158) | 0.069 | |
Preoperative CEA | 1.001 (1.000–1.002) | 0.163 | |||
Preoperative CA19-9 | 0.999 (0.262–3.820) | 0.998 | |||
Preoperative biliary/pancreatic drainage | 0.883 (0.532–1.460) | 0.627 | 0.870 (0.520–1.452) | 0.595 | |
Preoperative cholangitis | 0.891 (0.480–1.657) | 0.715 | |||
ERAS group | 0.907 (0.549–1.497) | 0.701 | |||
Preoperative pancreatic duct size | 0.982 (0.866–1.112) | 0.771 | |||
Pancreatic texture | 0.806 (0.468–1.382) | 0.435 | |||
Pancreaticojejunostomy method | 1.358 (0.591–3.246) | 0.477 | |||
Tumor location (Ref: Pancreas) | 0.718 | ||||
Ampulla of Vater | 0.686 (0.332–1.400) | 0.302 | |||
Distal common bile duct | 1.034 (0.570–1.884) | 0.913 | |||
Duodenum | 1.118 (0.367–3.572) | 0.845 | |||
Cancer | 1.001 (0.560–17.783) | 0.996 | |||
Resection margin status | 1.484 (0.601–3.881) | 0.400 |
Univariable | Multivariable | ||||
---|---|---|---|---|---|
Variable | Odds Ratio (95% Confidence Interval) | p Value | Odds Ratio (95% Confidence Interval) | p Value | |
POAP | 0.574 (0.239–1.481) | 0.227 | 0.647 (0.258–1.747) | 0.367 | |
Age | 1.034 (0.987–1.089) | 0.178 | 1.046 (0.993–1.109) | 0.108 | |
Sex (Ref: Male) | 0.477 (0.168–1.179) | 0.130 | 0.316 (0.099–0.903) | 0.038 | |
BMI | 1.003 (0.872–1.146) | 0.971 | |||
ASA score (Ref: I) | 0.044 | ||||
II | NA * | 0.989 | |||
III | NA * | 0.990 | |||
Preoperative CEA | 1.000 (0.998–1.002) | 0.866 | |||
Preoperative CA19-9 | 0.661 (0.066–5.778) | 0.717 | 0.157 (0.011–1.905) | 0.154 | |
Preoperative biliary/pancreatic drainage | 0.735 (0.317–1.692) | 0.467 | 0.535 (0.212–1.314) | 0.175 | |
Preoperative cholangitis | 0.705 (0.199–1.962) | 0.540 | |||
ERAS group | 1.569 (0.683–3.752) | 0.294 | |||
Preoperative pancreatic duct size | 1.018 (0.805–1.208) | 0.856 | |||
Pancreaticojejunostomy method | 1.233 (0.277–3.940) | 0.749 | |||
Pancreatic texture | 0.811 (0.343–2.013) | 0.637 | |||
Tumor location (Ref: Pancreas) | 0.570 | ||||
Ampulla of Vater | 0.386 (0.059–1.453) | 0.220 | |||
Distal common bile duct | 0.856 (0.312–2.148) | 0.748 | |||
Duodenum | 0.564 (0.030–3.160) | 0.594 | |||
Cancer | 1.390 (0.534–4.330) | 0.529 | |||
Resection margin status | 3.125 (0.945–8.976) | 0.043 | 3.451 (0.987–10.794) | 0.039 |
Univariable | Multivariable | ||||
---|---|---|---|---|---|
Variable | Odds Ratio (95% Confidence Interval) | p Value | Odds Ratio (95% Confidence Interval) | p Value | |
POAP | 1.008 (0.344–3.677) | 0.989 | 0.998 (0.310–3.886) | 0.998 | |
Age | 1.064 (1.003–1.137) | 0.051 | 1.075 (1.008–1.154) | 0.036 | |
Sex (Ref: Male) | 0.301 (0.068–0.944) | 0.063 | 0.263 (0.056–0.888) | 0.050 | |
BMI | 1.017 (0.866–1.186) | 0.838 | |||
ASA score (Ref: I) | 0.110 | ||||
II | NA * | 0.990 | |||
III | NA * | 0.989 | |||
Preoperative CEA | 1.002 (1.000–1.003) | 0.016 | |||
Preoperative CA19-9 | 4.822 (0.414–48.984) | 0.192 | |||
Preoperative biliary/pancreatic drainage | 3.095 (1.073–11.175) | 0.052 | |||
Preoperative cholangitis | 0.750 (0.169–2.388) | 0.660 | 0.384 (0.078–1.363) | 0.177 | |
ERAS group | 0.359 (0.112–0.985) | 0.059 | 0.347 (0.102–1.017) | 0.066 | |
Preoperative pancreatic duct size | 0.832 (0.555–1.099) | 0.298 | |||
Pancreaticojejunostomy method | 1.114 (0.169–4.260) | 0.890 | |||
Pancreatic texture | 0.993 (0.370–2.949) | 0.990 | |||
Tumor location (Ref: Pancreas) | 0.011 | ||||
Ampulla of Vater | 1.263 (0.176–6.125) | 0.785 | |||
Distal common bile duct | 4.714 (1.633–15.56) | 0.006 | |||
Duodenum | NA * | 0.989 | |||
Cancer | 1.746 (0.552–7.726) | 0.392 | |||
Resection margin status | 3.462 (0.906–10.956) | 0.045 | 2.970 (0.700–11.004) | 0.113 |
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Yoo, D.; Park, S.Y.; Hwang, D.W.; Lee, J.H.; Song, K.B.; Lee, W.; Park, Y.; Jun, E.; Kim, S.C. Lack of Association between Postoperative Pancreatitis and Other Postoperative Complications Following Pancreaticoduodenectomy. J. Clin. Med. 2021, 10, 1179. https://doi.org/10.3390/jcm10061179
Yoo D, Park SY, Hwang DW, Lee JH, Song KB, Lee W, Park Y, Jun E, Kim SC. Lack of Association between Postoperative Pancreatitis and Other Postoperative Complications Following Pancreaticoduodenectomy. Journal of Clinical Medicine. 2021; 10(6):1179. https://doi.org/10.3390/jcm10061179
Chicago/Turabian StyleYoo, Daegwang, Seo Young Park, Dae Wook Hwang, Jae Hoon Lee, Ki Byung Song, Woohyung Lee, Yejong Park, Eunsung Jun, and Song Cheol Kim. 2021. "Lack of Association between Postoperative Pancreatitis and Other Postoperative Complications Following Pancreaticoduodenectomy" Journal of Clinical Medicine 10, no. 6: 1179. https://doi.org/10.3390/jcm10061179
APA StyleYoo, D., Park, S. Y., Hwang, D. W., Lee, J. H., Song, K. B., Lee, W., Park, Y., Jun, E., & Kim, S. C. (2021). Lack of Association between Postoperative Pancreatitis and Other Postoperative Complications Following Pancreaticoduodenectomy. Journal of Clinical Medicine, 10(6), 1179. https://doi.org/10.3390/jcm10061179