Predischarge Prediction of Readmission After Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy: Derivation and Validation of a Risk Prediction Score

Annals of Surgical Oncology - Tập 28 - Trang 5287-5296 - 2021
Caroline J. Rieser1, Lauren B. Hall1, Eliza Kang1, Amer H. Zureikat1, Matthew P. Holtzman1, James F. Pingpank1, David L. Bartlett2, M. Haroon A. Choudry1
1Division of Surgical Oncology, Koch Regional Perfusion Center, University of Pittsburgh, Pittsburgh, USA
2AHN Cancer Institute, Allegheny Health Network, Pittsburgh, USA

Tóm tắt

Ninety-day hospital readmission rates following cytoreductive surgery and hyperthermic intraperitoneal chemotherapy (CRS/HIPEC) range from 20 to 40%. The aim of this study was to develop and validate a simple score to predict readmissions following CRS/HIPEC. Using a prospectively maintained database, we retrospectively reviewed clinicopathologic, perioperative, and day-of-discharge data for patients undergoing CRS/HIPEC for peritoneal surface malignancies between 2010 and 2018. In-hospital mortalities and discharges to hospice were excluded. Multivariate logistic regression was utilized to identify predictors of unplanned readmission, with three-quarters of the sample randomly selected as the derivation cohort and one-quarter as the validation cohort. Using regression coefficient-based scoring methods, we developed a weighted 7-factor, 10-point predictive score for risk of readmission. Overall, 1068 eligible discharges were analyzed; 379 patients were readmitted within 90 days (35.5%). Seven factors were associated with readmission: stoma creation, Peritoneal Cancer Index score ≥ 15, hyponatremia, in-hospital major complication, preoperative chemotherapy, anemia, and discharge to nursing home. In the validation cohort, 25 patients (9.2%) were categorized as high risk for readmission, with a predicted rate of readmission of 69.3% and an observed rate of 76.0%. The score had fair discrimination (area under the curve 0.70) and good calibration (Hosmer–Lemeshow goodness-of-fit p-value of 0.77). Our proposed risk score, easily obtainable on day of discharge, distinguishes patients at high risk for readmission over 90 days following CRS/HIPEC. This score has the potential to target high-risk individuals for intensive follow-up and other interventions.

Tài liệu tham khảo

Choudry MHA, Shuai Y, Jones HL, et al. Postoperative complications independently predict cancer-related survival in peritoneal malignancies. Ann Surg Oncol. 2018;25(13):3950–9. https://doi.org/10.1245/s10434-018-6823-9. Lee L, Alie-Cusson F, Dube P, Sideris L. Postoperative complications affect long-term outcomes after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy for colorectal peritoneal carcinomatosis. J Surg Oncol. 2017;116(2):236–43. https://doi.org/10.1002/jso.24632. Lee TC, Wima K, Sussman JJ, et al. Readmissions after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy: a US HIPEC collaborative study. J Gastrointest Surg. 2020;24(1):165–76. https://doi.org/10.1007/s11605-019-04463-y. Zafar SN, Shah AA, Channa H, Raoof M, Wilson L, Wasif N. Comparison of rates and outcomes of readmission to index vs nonindex hospitals after major cancer surgery. JAMA Surg. 2018;153(8):719–27. https://doi.org/10.1001/jamasurg.2018.0380. Zheng C, Habermann EB, Shara NM, et al. Fragmentation of care after surgical discharge: non-index readmission after major cancer surgery. J Am Coll Surg. 2016;222(5):780-789.e2. https://doi.org/10.1016/j.jamcollsurg.2016.01.052. Schneider MA, Eshmuminov D, Lehmann K. Major postoperative complications are a risk factor for impaired survival after CRS/HIPEC. Ann Surg Oncol. 2017;24(8):2224–32. https://doi.org/10.1245/s10434-017-5821-7. Tevis SE, Weber SM, Kent KC, Kennedy GD. Nomogram to predict postoperative readmission in patients who undergo general surgery. JAMA Surg. 2015;150(6):505–10. https://doi.org/10.1001/jamasurg.2014.4043. Kassin MT, Owen RM, Perez SD, et al. Risk factors for 30-day hospital readmission among general surgery patients. J Am Coll Surg. 2012;215(3):322–30. https://doi.org/10.1016/j.jamcollsurg.2012.05.024. McIlvennan CK, Eapen ZJ, Allen LA. Hospital readmissions reduction program. Circulation. 2015;131(20):1796–803. https://doi.org/10.1161/circulationaha.114.010270. Donze J, Aujesky D, Williams D, Schnipper JL. Potentially avoidable 30-day hospital readmissions in medical patients: derivation and validation of a prediction model. JAMA Intern Med. 2013;173(8):632–8. https://doi.org/10.1001/jamainternmed.2013.3023. Mull HJ, Graham LA, Morris MS, et al. Association of postoperative readmissions with surgical quality using a Delphi consensus process to identify relevant diagnosis codes. JAMA Surg. 2018;153(8):728–37. https://doi.org/10.1001/jamasurg.2018.0592. Martin AS, Abbott DE, Hanseman D, et al. Factors associated with readmission after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy for peritoneal carcinomatosis. Ann Surg Oncol. 2016;23(6):1941–7. https://doi.org/10.1245/s10434-016-5109-3. Kelly KJ, Cajas L, Baumgartner JM, Lowy AM. Factors associated with 60-day readmission following cytoreduction and hyperthermic intraperitoneal chemotherapy. Ann Surg Oncol. 2018;25(1):91–7. https://doi.org/10.1245/s10434-017-6108-8. Dreznik Y, Hoffman A, Hamburger T, et al. Hospital readmission rates and risk factors for readmission following cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) for peritoneal surface malignancies. Surgeon. 2018;16(5):278–82. https://doi.org/10.1016/j.surge.2018.01.001. White IR, Royston P, Wood AM. Multiple imputation using chained equations: issues and guidance for practice. Stat Med. 2011;30(4):377–99. https://doi.org/10.1002/sim.4067. Prince Nelson SL, Ramakrishnan V, Nietert PJ, Kamen DL, Ramos PS, Wolf BJ. An evaluation of common methods for dichotomization of continuous variables to discriminate disease status. Commun Stat Theory Methods. 2017;46(21):10823–34. https://doi.org/10.1080/03610926.2016.1248783. Moons KGM, Harrell FE, Steyerberg EW. Should scoring rules be based on odds ratios or regression coefficients? J Clin Epidemiol. 2002;55(10):1054–5. https://doi.org/10.1016/s0895-4356(02)00453-5. Leppin AL, Gionfriddo MR, Kessler M, et al. Preventing 30-day hospital readmissions: a systematic review and meta-analysis of randomized trials. JAMA Intern Med. 2014;174(7):1095–107. https://doi.org/10.1001/jamainternmed.2014.1608. Jones CE, Hollis RH, Wahl TS, et al. Transitional care interventions and hospital readmissions in surgical populations: a systematic review. Am J Surg. 2016;212(2):327–35. https://doi.org/10.1016/j.amjsurg.2016.04.004. Chen SY, Stem M, Cerullo M, et al. Predicting the risk of readmission from dehydration after ileostomy formation: the dehydration readmission after ileostomy prediction score. Dis Colon Rectum. 2018;61(12):1410–7. https://doi.org/10.1097/dcr.0000000000001217. Merkow RP, Ju MH, Chung JW, et al. Underlying reasons associated with hospital readmission following surgery in the United States. JAMA. 2015;313(5):483–95. https://doi.org/10.1001/jama.2014.18614. Biggins SW, Kim WR, Terrault NA, et al. Evidence-based incorporation of serum sodium concentration into MELD. Gastroenterology. 2006;130(6):1652–60. https://doi.org/10.1053/j.gastro.2006.02.010. Crestanello JA, Phillips G, Firstenberg MS, et al. Postoperative hyponatremia predicts an increase in mortality and in-hospital complications after cardiac surgery. J Am Coll Surg. 2013;216(6):1135–43. https://doi.org/10.1016/j.jamcollsurg.2013.02.010. Swart RM, Hoorn EJ, Betjes MG, Zietse R. Hyponatremia and inflammation: the emerging role of interleukin-6 in osmoregulation. Nephron Physiol. 2011;118(2):45–51. https://doi.org/10.1159/000322238.