Original Article

Determinants of Hospital Stay Duration Post-Colorectal Surgery

Abstract

Introduction: Hospital length of stay (LOS) remains a vital metric for assessing patient outcomes and healthcare resource utilization. Given the substantial financial impact of diagnosing and treating colorectal anomalies, coupled with an increased susceptibility to postoperative complications, it is crucial to understand the factors affecting LOS following colorectal surgery. Our primary objective was to investigate the preoperative, intraoperative, and postoperative risk factors that have substantial influence over LOS following a colorectal procedure.
Methods: This study analyzed data from a retrospective study of adults who underwent various colorectal surgeries (colostomy, ileostomy, small bowel resection, etc.) at Cleveland Clinic Foundation (January 2005- December 2014). Predictor variables were categorized into preoperative (patient demographics, medical history, comorbidities, lifestyle factors), intraoperative, and postoperative factors. LOS was grouped into short-term (SLOS) (≤ 7 days), medium-term (MLOS) (8-30 days), and long-term (LLOS) (> 30 days) stays. Multinomial logistic regression models assessed predictor effects on LOS.
Results: Among the 7874 patients, 50.7% were females, with a minimum age of 20 years. SLOS were observed in 61.1%, MLOS in 37.6%, and LLOS in 1.3% of patients. Advanced age correlated with prolonged LOS, possibly due to age-related health challenges like weak immune systems. Coagulopathy, and fluid and electrolyte disorders raised MLOS and LLOS risk, likely due to complications like significant bleeding and electrolyte imbalances. Surgery duration predicted longer LOS, elevating LLOS and MLOS by 52% and 42%. Postoperative infections were associated to extended stays, possibly due to subsequent interventions, monitoring and recovery delays.
Conclusion: Our study revealed that key preoperative predictors of LOS included Age, coagulopathy, fluid and electrolyte disorders, severe weight loss, and drug abuse. Notably, intraoperative factors such as surgical approach (open vs laparoscopic) and surgery duration, alongside postoperative complications including superficial and serious infections, significantly influenced LOS. By incorporating these insights into the preoperative planning, clinicians could potentially develop tailored interventions to mitigate risk factors and enhance postoperative recovery, thus potentially reducing LOS and improving patient outcomes.

1. Xi Y, Xu P. Global colorectal cancer burden in 2020 and projections to 2040. Translational Oncology [Internet]. 2021 Oct 1;14(10):101174. Available from: https://doi. org/10.1016/j.tranon.2021.101174
2. Wang R, Li Z, Liu S, Zhang D. Global, regional and national burden of inflammatory bowel disease in 204 countries and territories from 1990 to 2019: a systematic analysis based on the Global Burden of Disease Study 2019. BMJ Open [Internet]. 2023 Mar 1;13(3):e065186. Available from: https://doi. org/10.1136/bmjopen-2022-065186
3. Rahib L, Wehner MR, Matrisian LM, Nead KT. Estimated projection of US cancer incidence and death to 2040. JAMA Network Open [Internet]. 2021 Apr 7;4(4):e214708. Available from: https://doi.org/10.1001/ jamanetworkopen.2021.4708
4. Stone K, Zwiggelaar R, Jones P, Mac Parthaláin N. A systematic review of the prediction of hospital length of stay: Towards a unified framework. PLOS Digital Health [Internet]. 2022 Apr 14;1(4):e0000017. Available from: https://doi.org/10.1371/ journal.pdig.0000017
5. Ilesanmi OS, Fatiregun AA. The direct cost of care among surgical inpatients at a tertiary hospital in south west Nigeria. The Pan African Medical Journal [Internet]. 2014 Jan 1;18. Available from: https://doi.org/10.11604/ pamj.2014.18.3.3177
6. Baek H, Cho M, Kim S, Hwang H, Song M, Yoo S. Analysis of length of hospital stay using electronic health records: A statistical and data mining approach. PLOS ONE [Internet]. 2018 Apr 13;13(4):e0195901. Available from: https://doi.org/10.1371/journal.pone.0195901
7. Interventions To Decrease Hospital Length of Stay [Internet]. PubMed. 2021. Available from: https://pubmed.ncbi.nlm.nih. gov/34644039/
8. Sheikh L, Croft R, Harmston C. Counting the costs of complications in colorectal surgery. PubMed [Internet]. 2019 Jun 21;132(1497):32–6. Available from: https:// pubmed.ncbi.nlm.nih.gov/31220063
9. Greer N, Gunnar W, Dahm P, Lee A, MacDonald R, Shaukat A, et al. Enhanced Recovery Protocols for Adults Undergoing Colorectal Surgery: A Systematic Review and Meta-analysis. Diseases of the Colon & Rectum [Internet]. 2018 Sep 1;61(9):1108–18. Available from: https://doi.org/10.1097/dcr.0000000000001160
10. Tweed TTT, Woortman C, Tummers S, Bakens M, Van Bastelaar J, Stoot JHMB. Reducing hospital stay for colorectal surgery in ERAS setting by means of perioperative patient education of expected day of discharge. International Journal of Colorectal Disease [Internet]. 2021 May 11;36(7):1535–42. Available from: https://doi.org/10.1007/ s00384-021-03948-0
11. Miller TE, Thacker JK, White WD, Mantyh CR, Migaly J, Jin J, et al. Reduced Length of Hospital Stay in Colorectal Surgery after Implementation of an Enhanced Recovery Protocol. Anesthesia & Analgesia [Internet]. 2014 May 1;118(5):1052–61. Available from: https://doi.org/10.1213/ ane.0000000000000206
12. Albalawi Z, Gramlich L, Nelson G, A P Senior, Youngson E, McAlister FA. The impact of the implementation of the Enhanced Recovery After Surgery (ERAS®) program in an entire health system: a natural experiment in Alberta, Canada. World Journal of Surgery [Internet]. 2018 Mar 12;42(9):2691–700. Available from: https://doi.org/10.1007/ s00268-018-4559-0
13. Nelson G, Kiyang LN, Crumley E, Chuck A, Nguyen TN, Faris P, et al. Implementation of Enhanced Recovery After Surgery (ERAS) across a provincial healthcare system: the ERAS Alberta Colorectal Surgery Experience. World Journal of Surgery [Internet]. 2016 Feb 29;40(5):1092–103. Available from: https://doi.org/10.1007/s00268-016-3472-7
14. Millan M, Renau-Escrig AI. Minimizing the impact of colorectal surgery in the older patient: The role of enhanced recovery programs in older patients. Ejso [Internet]. 2020 Mar 1;46(3):338–43. Available from: https://doi.org/10.1016/j.ejso.2019.12.018
15. Walters M, Tanios M, Koyuncu O, Mao G, Valente M, Sessler DI. Intraoperative core temperature and infectious complications after colorectal surgery: A registry analysis. Journal of Clinical Anesthesia [Internet]. 2020 Aug 1; 63:109758. Available from: https://doi. org/10.1016/j.jclinane.2020.109758
16. Homoki, J. and Nowacki AS, “Core Temperature Dataset”, TSHS Resources Portal (2023). Available from: https://www.causeweb. org/tshs/core-temperature/
17. Kelly M, Sharp L, Dwane F, Kelleher T, Comber H. Factors predicting hospital length-of-stay and readmission after colorectal resection: a population-based study of elective and emergency admissions. BMC Health Services Research [Internet]. 2012 Mar 26;12(1). Available from: https://doi. org/10.1186/1472-6963-12-77
18. Schmelzer TM, Mostafa G, Lincourt AE, Camp SM, Kercher KW, Kuwada TS, et al. Factors affecting length of stay following colonic resection. Journal of Surgical Research [Internet]. 2008 May 1;146(2):195–201. Available from: https://doi.org/10.1016/j. jss.2007.08.015
19. Faiz O, Haji A, Burns E, Bottle A, Kennedy RH, Aylin P. Hospital stay amongst patients undergoing major elective colorectal surgery: predicting prolonged stay and readmissions in NHS hospitals. Colorectal Disease [Internet]. 2010 Apr 5;13(7):816–22. Available from: https://doi.org/10.1111/j.1463- 1318.2010.02277.x
20. Eagye KJ, Nicolau DP. Deep and organ/space infections in patients undergoing elective colorectal surgery: incidence and impact on hospital length of stay and costs. American Journal of Surgery [Internet]. 2009 Sep 1;198(3):359–67. Available from: https:// doi.org/10.1016/j.amjsurg.2008.11.030
21. Li H, Luo T, Zhang NR, Zhang L, Huang X, Jin S. Factors associated with prolonged postoperative length of hospital stay after laparoscopic colorectal cancer resection: a secondary analysis of a randomized controlled trial. BMC Surgery [Internet]. 2022 Dec 24;22(1). Available from: https://doi. org/10.1186/s12893-022-01886-4
22. Lobato LM, Ferreira PCA, Wick EC, Kiran RP, Remzi FH, Kalady MF, et al. Risk factors for prolonged length of stay after colorectal surgery. Journal of Coloproctology [Internet]. 2013 Apr 1;33(1):22–7. Available from: https://doi.org/10.1590/s2237- 93632013000100005
23. Ho VP, Schiltz NK, Reimer AP, Madigan EA, Koroukian SM. High‐Risk comorbidity combinations in older patients undergoing emergency general surgery. Journal of the American Geriatrics Society [Internet]. 2018 Dec 2;67(3):503–10. Available from: https://doi.org/10.1111/jgs.15682
24. Levy L, Smiley A, Latifi R. Adult and Elderly Risk Factors of Mortality in 23,614 Emergently Admitted Patients with Rectal or Rectosigmoid Junction Malignancy. International Journal of Environmental Research and Public Health [Internet]. 2022 Jul 27;19(15):9203. Available from: https://doi. org/10.3390/ijerph19159203
25. Leichtle SW, Mouawad NJ, Lampman RM, Singal B, Cleary RK. Does preoperative anemia adversely affect colon and rectal surgery outcomes? Journal of the American College of Surgeons [Internet]. 2011 Feb 1;212(2):187–
94. Available from: https://doi.org/10.1016/j. jamcollsurg.2010.09.013
26. Reddy KM, Meyer Chr, Palazzo F, Conaghan PG, Blunt M, Stebbings WSL, et al. Postoperative stay following colorectal surgery: a study of factors associated with prolonged hospital stay. Annals of the Royal College of Surgeons of England [Internet]. 2003 Mar 1;85(2):111–4. Available from: https://doi. org/10.1308/003588403321219894
27. Gendall KA, Raniga S, Kennedy RC, Frizelle FA. The Impact of Obesity on Outcome after Major Colorectal Surgery. Diseases of the Colon & Rectum [Internet]. 2007 Dec 1;50(12):2223–37. Available from: https://doi. org/10.1007/s10350-007-9051-0
28. Lee KC, Chung KC, Chen HH, Cheng KC, Wu KL, Song LC. The impact of obesity on postoperative outcomes in colorectal cancer patients: a retrospective database study. Supportive Care in Cancer [Internet]. 2021 Oct 23;30(3):2151-61. Available from: https://doi. org/10.1007/s00520-021-06626-7
29. Guidolin K, Spence RT, Azin A, Hirpara DH, Lam-Tin-Cheung K, Quereshy FA, et al. The effect of operative duration on the outcome of colon cancer procedures. Surgical Endoscopy and Other Interventional Techniques [Internet]. 2021 Nov 15;36(7):5076–83. Available from: https://doi.org/10.1007/s00464-021-08871-7
30. Evans C, Lim J, Gatzen C, Huang A. Factors Influencing Laparoscopic Colorectal Operative Duration and its Effect on Clinical Outcome. Surgical Laparoscopy, Endoscopy & Percutaneous Techniques [Internet]. 2012 Oct 1;22(5):437–42. Available from: https://doi. org/10.1097/sle.0b013e31826020a3
31. Leung AM, Gibbons R, Vu H. Predictors of length of stay following colorectal resection for neoplasms in 183 Veterans Affairs patients. World Journal of Surgery [Internet]. 2009 Aug 8;33(10):2183–8. Available from: https://doi. org/10.1007/s00268-009-0148-6
Files
IssueVol 9 No 2 (2023) QRcode
SectionOriginal Article(s)
DOI https://doi.org/10.18502/jbe.v9i2.14627
Keywords
Colorectal surgery Hospital length of stay Preoperative factors Intraoperative factors Postoperative complications Risk factors

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
1.
Addo G, Ossei P, Yeboah BA, Ayibor WG, Doh-Nani R, Mohammed S, Obuobi M, Appau R. Determinants of Hospital Stay Duration Post-Colorectal Surgery. JBE. 2023;9(2):241-256.