Abstract
Background
The specific effect of psychosocial risk factors on surgical outcomes in cancer patients remains unexplored. The purpose of this prospective observational study was to assess the association of preoperative psychosocial risk factors and 30-day complications following cancer surgery.
Methods
Psychosocial risks among elective gastrointestinal cancer surgery patients were ascertained through structured interviews using well-established screening forms. We then collected postoperative course by chart review. Multivariable analysis of short-term surgical outcomes was performed in those with a low versus high number of psychosocial risks.
Results
Overall, 142 patients had a median age of 65 years (interquartile range 55–71), 55.9% were male, and 23.1% were non-White. More than half (58.2%) of the study population underwent a resection for a hepato-pancreato-biliary primary tumor, and 31.9% had a colorectal primary tumor. High-risk biomedical comorbidities were present in 43.5% of patients, and three-quarters of patients (73.4%) had at least one psychosocial risk. Complication rates in patients with at least one psychosocial risk were 28.0 absolute percentage points higher than those with no psychosocial risks (54.4% vs. 26.2%, p = 0.039). Multiple psychosocial risk factors in medically comorbid patients independently conferred an increase in the odds of a complication by 3.37-fold (95% CI 1.08–10.48, p = 0.036) compared with those who had one or no psychosocial risks.
Conclusions
We demonstrated a more than threefold odds of a complication in medically comorbid patients with multiple psychosocial risks. These findings support the use of psychosocial risks in preoperative assessment and consideration for inclusion in preoperative optimization efforts.
Similar content being viewed by others
References
Leeds IL, Canner JK, Efron JE, et al. The independent effect of cancer on outcomes: a potential limitation of surgical risk prediction. J Surg Res. 2017;220:402–409.e6.
Borja-Cacho D, Parsons HM, Habermann EB, Rothenberger DA, Henderson WG, Al-Refaie WB. Assessment of ACS NSQIP’s predictive ability for adverse events after major cancer surgery. Ann Surg Oncol. 2010;17(9):2274–2282.
Gillis C, Li C, Lee L, et al. Prehabilitation versus rehabilitation: a randomized control trial in patients undergoing colorectal resection for cancer. Anesthesiology. 2014;121(5):937–947.
Li C, Carli F, Lee L, et al. Impact of a trimodal prehabilitation program on functional recovery after colorectal cancer surgery: a pilot study. Surg Endosc. 2013;27(4):1072–82le.
Mayo NE, Feldman L, Scott S, et al. Impact of preoperative change in physical function on postoperative recovery: argument supporting prehabilitation for colorectal surgery. Surgery. 2011;150(3):505–514.
Englesbe MJ, Lussiez AD, Friedman JF, Sullivan JA, Wang SC. Starting a Surgical Home. Ann Surg. 2015;262(6):901–903.
Harari D, Hopper A, Dhesi J, Babic-Illman G, Lockwood L, Martin F. Proactive care of older people undergoing surgery (‘POPS’): Designing, embedding, evaluating and funding a comprehensive geriatric assessment service for older elective surgical patients. Age Ageing. 2007;36(2):190–196.
Partridge JSL, Harari D, Martin FC, et al. Randomized clinical trial of comprehensive geriatric assessment and optimization in vascular surgery. Br J Surg. 2017;104(6):679–687.
Leeds IL, Canner JK, Gani F, et al. Increased Healthcare Utilization for Medical Comorbidities Prior to Surgery Improves Postoperative Outcomes. Ann Surg. Epub 1 Jun 2018. https://doi.org/10.1097/sla.0000000000002851
Carli F, Feldman LS, Silver JK. Is “Move, Breathe, Eat and Relax” Training for Major Surgery Effective? Ann Surg. 2017;266(6):e82-e83.
Tsimopoulou I, Pasquali S, Howard R, et al. Psychological Prehabilitation Before Cancer Surgery: A Systematic Review. Ann Surg Oncol. 2015;22(13):4117–4123.
Castillo RC, Wegener ST, Newell MZ, et al. Improving outcomes at Level I trauma centers: an early evaluation of the Trauma Survivors Network. J Trauma Acute Care Surg. 2013;74(6):1534–1540.
Affinati S, Patton D, Hansen L, et al. Hospital-based violence intervention programs targeting adult populations: an Eastern Association for the Surgery of Trauma evidence-based review. Trauma Surg Acute Care Open. 2016;1(1):e000024.
Christino MA, Fleming BC, Machan JT, Shalvoy RM. Psychological Factors Associated With Anterior Cruciate Ligament Reconstruction Recovery. Orthop J Sport Med. 2016;4(3):232596711663834.
Chmielewski TL, Zeppieri G, Lentz TA, et al. Longitudinal Changes in Psychosocial Factors and Their Association With Knee Pain and Function After Anterior Cruciate Ligament Reconstruction. Phys Ther. 2011;91(9):1355–1366.
Herpertz S, Kielmann R, Wolf AM, Hebebrand J, Senf W. Do psychosocial variables predict weight loss or mental health after obesity surgery? A systematic review. Obes Res. 2004;12(10):1554–1569.
Davidson T, Rohde P, Wastell C. Psychological Profile and Outcome in Patients Undergoing Gastroplasty for Morbid Obesity. Obes Surg. 1991;1(2):177–180.
Dunn J, Ng SK, Holland J, et al. Trajectories of psychological distress after colorectal cancer. Psychooncology. 2013;22(8):1759–1765.
Sharma A, Sharp DM, Walker LG, Monson JRT. Predictors of early postoperative quality of life after elective resection for colorectal cancer. Ann Surg Oncol. 2007;14(12):3435–3442.
Foster C, Haviland J, Winter J, et al. Pre-Surgery Depression and Confidence to Manage Problems Predict Recovery Trajectories of Health and Wellbeing in the First Two Years following Colorectal Cancer: results from the CREW Cohort Study. PLoS One. 2016;11(5):e0155434.
Foster C, Fenlon D. Recovery and self-management support following primary cancer treatment. Br J Cancer. 2011;105(S1):S21-S28.
Ingraham AM, Richards KE, Hall BL, Ko CY. Quality improvement in surgery: The American College of Surgeons National Surgical Quality Improvement Program approach. Adv Surg. 2010;44(1):251–267.
Cohen ME, Bilimoria KY, Ko CY, Hall BL. Development of an American College of Surgeons National Surgery Quality Improvement Program: Morbidity and Mortality Risk Calculator for Colorectal Surgery. J Am Coll Surg. 2009;208(6):1009–1016.
American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP). User Guide for the 2014 ACS NSQIP Participant Use Data File. Chicago, IL: ACS-NSQIP; 2015.
Traeger L, Cannon S, Keating NL, et al. Race by sex differences in depression symptoms and psychosocial service use among non-Hispanic black and white patients with lung cancer. J Clin Oncol. 2014;32(2):107–113.
Schmader K, George LK, Burchett BM, Pieper CF. Racial and Psychosocial Risk Factors for Herpes Zoster in the Elderly. J Infect Dis. 1998;178(s1):S67-S70.
Rabe-Hesketh S, Skrondal A. Dichotomous or binary responses. In: Multilevel and Longitudinal Modeling Using Stata. Volume II: Categorical Responses, Counts, and Survival. 3rd edition. College Station, TX: Stata Press; 2012. pp. 501–574.
Klingman D, Pine PL, Simon J. Outcomes of surgery under Medicaid. Health Care Financ Rev. 1990;11(3):1–16.
Birkmeyer NJO, Gu N, Baser O, Morris AM, Birkmeyer JD. Socioeconomic status and surgical mortality in the elderly. Med Care. 2008;46(9):893–899.
Reames BN, Birkmeyer NJO, Dimick JB, Ghaferi A. Socioeconomic Disparities in Mortality After Cancer Surgery: Failure to Rescue. JAMA Surg. 2014;2800(5):1–7.
Society of American Gastrointestinal and Endoscopic Surgeons. SAGES guideline for clinical application of laparoscopic bariatric surgery. Surg Obes Relat Dis. 2009;5(3):387–405.
Mathurin P, Moreno C, Samuel D, et al. Early Liver Transplantation for Severe Alcoholic Hepatitis. N Engl J Med. 2011;365(19):1790–1800.
Chen EY, Fox BT, Suzo A, et al. One-year Surgical Outcomes and Costs for Medicaid Versus Non-Medicaid Patients Undergoing Laparoscopic Roux-en-Y Gastric Bypass: A Single-Center Study. Surg Laparosc Endosc Percutan Tech. 2016;26(1):38–43.
Funk LM, Suzo A, Mikami DJ, Needleman BJ. Two-year outcomes for medicaid patients undergoing laparoscopic Roux-en-Y gastric bypass: a case-control study. Obes Surg. 2014;24(10):1679–1685.
Carli F, Charlebois P, Stein B, et al. Randomized clinical trial of prehabilitation in colorectal surgery. Br J Surg. 2010;97(8):1187–1197.
Li C, Carli F, Lee L, et al. Impact of a trimodal prehabilitation program on functional recovery after colorectal cancer surgery: a pilot study. Surg Endosc. 2013;27(4):1072–1082.
Pinto A, Faiz O, Davis R, Almoudaris A, Vincent C. Surgical complications and their impact on patients’ psychosocial well-being: a systematic review and meta-analysis. BMJ Open. 2016;6(2):e007224.
Abelson JS, Chait A, Shen MJ, Charlson M, Dickerman A, Yeo HL. Sources of distress among patients undergoing surgery for colorectal cancer: a qualitative study. J Surg Res. 2018;226:140–149.
Bilimoria KY, Liu Y, Paruch JL, et al. Development and Evaluation of the Universal ACS NSQIP Surgical Risk Calculator: A Decision Aid and Informed Consent Tool for Patients and Surgeons. J Am Coll Surg. 2013;217(5):833–842.
Liu Y, Cohen ME, Hall BL, Ko CY, Bilimoria KY. Evaluation and Enhancement of Calibration in the American College of Surgeons NSQIP Surgical Risk Calculator. J Am Coll Surg. 2016;223(2):231–239.
Gani F, Cerullo M, Amini N, et al. Frailty as a Risk Predictor of Morbidity and Mortality Following Liver Surgery. J Gastrointest Surg. 2017;21(5):822–830.
Buettner S, Wagner D, Kim Y, et al. Inclusion of Sarcopenia Outperforms the Modified Frailty Index in Predicting 1-Year Mortality among 1,326 Patients Undergoing Gastrointestinal Surgery for a Malignant Indication. J Am Coll Surg. 2016;222(4):397–407.e2.
Smith BW, Dalen J, Wiggins K, Tooley E, Christopher P, Bernard J. The brief resilience scale: Assessing the ability to bounce back. Int J Behav Med. 2008;15(3):194–200.
Kroenke K, Spitzer RL, Williams JBW. The Patient Health Questionnaire-2 Validity of a Two-Item Depression Screener. Med Care. 2003;41(11):1284–1292.
Bush K, Kivlahan DR, McDonell MB, Fihn SD, Bradley KA. The AUDIT alcohol consumption questions (AUDIT-C): an effective brief screening test for problem drinking. Ambulatory Care Quality Improvement Project (ACQUIP). Alcohol Use Disorders Identification Test. Arch Intern Med. 1998;158(16):1789–1795.
Englesbe MJ, Grenda DR, Sullivan JA, et al. The Michigan Surgical Home and Optimization Program is a scalable model to improve care and reduce costs. Surgery. 2017;161(6):1659–1666.
Blum AB, Egorova NN, Sosunov EA, et al. Impact of socioeconomic status measures on hospital profiling in new york city. Circ Cardiovasc Qual Outcomes. 2014;7(3):391–397.
Leeds IL, Alimi Y, Hobson DR, et al. Racial and Socioeconomic Differences Manifest in Process Measure Adherence for Enhanced Recovery After Surgery Pathway. Dis Colon Rectum. 2017;60(10):1092–1101.
National Committee on Vital and Health Statistics. Development of Standards for the Collection of SES in Health Surveys Conducted by HHS. 2014. https://www.ncvhs.hhs.gov/wp-content/uploads/2014/05/120622lt.pdf. Accessed 9 Nov 2018.
Funding
ILL received salary support from a National Cancer Institute T32 Institutional Training Grant (5T32CA126607) and a Research Foundation of the American Society of Colon and Rectal Surgeons Resident Research Initiation Grant (GSRRIG-031) for the preparation of this manuscript. FMJ received salary support as the primary investigator of an Agency for Healthcare Research and Quality grant (1K08HS024736-01).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Disclosure
Ira L. Leeds, Patrick M. Meyers, Zachary O. Enumah, Jin He, Richard A. Burkhart, Elliott R. Haut, Jonathan E. Efron, and Fabian M. Johnston have no conflicts of interest to declare.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Leeds, I.L., Meyers, P.M., Enumah, Z.O. et al. Psychosocial Risks are Independently Associated with Cancer Surgery Outcomes in Medically Comorbid Patients. Ann Surg Oncol 26, 936–944 (2019). https://doi.org/10.1245/s10434-018-07136-3
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1245/s10434-018-07136-3