Preoperative Frailty and Malnutrition in Surgical Oncology Patients Predicts Higher Postoperative Adverse Events and Worse Survival: Results of a Blinded, Prospective Trial.


Journal

Annals of surgical oncology
ISSN: 1534-4681
Titre abrégé: Ann Surg Oncol
Pays: United States
ID NLM: 9420840

Informations de publication

Date de publication:
21 Dec 2023
Historique:
received: 15 08 2023
accepted: 16 11 2023
medline: 21 12 2023
pubmed: 21 12 2023
entrez: 21 12 2023
Statut: aheadofprint

Résumé

Frailty, a multidimensional state leading to reduced physiologic reserve, is associated with worse postoperative outcomes. Despite the availability of various frailty tools, surgeons often make subjective assessments of patients' ability to tolerate surgery. The Risk Analysis Index (RAI) is a validated preoperative frailty assessment tool that has not been studied in cancer patients with plans for curative-intent surgery. In this prospective, surgeon-blinded study, patients who had abdominal malignancy with plans for resection underwent preoperative frailty assessment with the RAI and nutrition assessment by measurement of albumin, prealbumin, and C-reactive protein (CRP). Postoperative outcomes and survival were assessed. The study included 220 patients, 158 (72%) of whom were considered frail (RAI ≥21). Frail patients were more likely to be readmitted within 30 and 90 days, (16% vs. 3% [P = 0.006] and 16% vs. 5% [P = 0.025], respectively). Patients with abnormal CRP, prealbumin, and albumin experienced higher rates of unplanned intensive care unit admission (CRP [27% vs. 8%; P < 0.001], albumin [30% vs. 10%; P < 0.001], prealbumin [29% vs. 9%; P < 0.001]) and increased postoperative mortality at 90 and 180 days. Survival was similar for frail and non-frail patients. In the multivariate analysis, frailty remained an independent risk factor for readmission (hazard ratio, 5.58; 95% confidence interval, 1.39-22.15; P = 0.015). In the post hoc analysis using the pre-cancer RAI score, the postoperative outcomes did not differ between the frail and non-frail patients. In conjunction with preoperative markers of nutrition, the RAI may be used to identify patients who may benefit from additional preoperative risk stratification and increased postoperative follow-up evaluation.

Sections du résumé

BACKGROUND BACKGROUND
Frailty, a multidimensional state leading to reduced physiologic reserve, is associated with worse postoperative outcomes. Despite the availability of various frailty tools, surgeons often make subjective assessments of patients' ability to tolerate surgery. The Risk Analysis Index (RAI) is a validated preoperative frailty assessment tool that has not been studied in cancer patients with plans for curative-intent surgery.
METHODS METHODS
In this prospective, surgeon-blinded study, patients who had abdominal malignancy with plans for resection underwent preoperative frailty assessment with the RAI and nutrition assessment by measurement of albumin, prealbumin, and C-reactive protein (CRP). Postoperative outcomes and survival were assessed.
RESULTS RESULTS
The study included 220 patients, 158 (72%) of whom were considered frail (RAI ≥21). Frail patients were more likely to be readmitted within 30 and 90 days, (16% vs. 3% [P = 0.006] and 16% vs. 5% [P = 0.025], respectively). Patients with abnormal CRP, prealbumin, and albumin experienced higher rates of unplanned intensive care unit admission (CRP [27% vs. 8%; P < 0.001], albumin [30% vs. 10%; P < 0.001], prealbumin [29% vs. 9%; P < 0.001]) and increased postoperative mortality at 90 and 180 days. Survival was similar for frail and non-frail patients. In the multivariate analysis, frailty remained an independent risk factor for readmission (hazard ratio, 5.58; 95% confidence interval, 1.39-22.15; P = 0.015). In the post hoc analysis using the pre-cancer RAI score, the postoperative outcomes did not differ between the frail and non-frail patients.
CONCLUSION CONCLUSIONS
In conjunction with preoperative markers of nutrition, the RAI may be used to identify patients who may benefit from additional preoperative risk stratification and increased postoperative follow-up evaluation.

Identifiants

pubmed: 38127214
doi: 10.1245/s10434-023-14693-9
pii: 10.1245/s10434-023-14693-9
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023. Society of Surgical Oncology.

Références

Lin HS, Watts JN, Peel NM, Hubbard RE. Frailty and postoperative outcomes in older surgical patients: a systematic review. BMC Geriatr. 2016;16:157.
doi: 10.1186/s12877-016-0329-8 pubmed: 27580947 pmcid: 5007853
Panayi AC, Orkaby AR, Sakthivel D, et al. Impact of frailty on outcomes in surgical patients: a systematic review and meta-analysis. Am J Surg. 2019;218:393–400.
doi: 10.1016/j.amjsurg.2018.11.020 pubmed: 30509455
Stevens L, Pathak S, Nunes QM, et al. Prognostic significance of preoperative C-reactive protein and the neutrophil-lymphocyte ratio in resectable pancreatic cancer: a systematic review. HPB. 2015;17:285–91.
doi: 10.1111/hpb.12355 pubmed: 25431369
Gupta A, Gupta E, Hilsden R, et al. Preoperative malnutrition in patients with colorectal cancer. Can J Surg. 2021;64:E621–9.
doi: 10.1503/cjs.016820 pubmed: 34824150 pmcid: 8628841
Peng J, Zhang R, Zhao Y, et al. Prognostic value of preoperative prognostic nutritional index and its associations with systemic inflammatory response markers in patients with stage III colon cancer. Chin J Cancer. 2017;36:96.
doi: 10.1186/s40880-017-0260-1 pubmed: 29268783 pmcid: 5740941
Simon R. Complications after pancreaticoduodenectomy. Surg Clin North Am. 2021;101:865–74.
doi: 10.1016/j.suc.2021.06.011 pubmed: 34537148
van Stein RM, Aalbers AGJ, Sonke GS, van Driel WJ. Hyperthermic Intraperitoneal chemotherapy for ovarian and colorectal cancer: a review. JAMA Oncol. 2021;7:1231–8.
doi: 10.1001/jamaoncol.2021.0580 pubmed: 33956063
Nakazawa N, Sohda M, Yamaguchi A, et al. Preoperative risk factors and prognostic impact of postoperative complications associated with total gastrectomy. Digestion. 2022;103:397–403.
doi: 10.1159/000525356 pubmed: 35724642
Russell MC. Complications following hepatectomy. Surg Oncol Clin North Am. 2015;24:73–96.
doi: 10.1016/j.soc.2014.09.008
Hall DE, Arya S, Schmid KK, et al. Development and initial validation of the risk analysis index for measuring frailty in surgical populations. JAMA Surg. 2017;152:175–82.
doi: 10.1001/jamasurg.2016.4202 pubmed: 27893030 pmcid: 7140150
Dindo D, Demartines N, Clavien PA. Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg. 2004;240:205–13.
doi: 10.1097/01.sla.0000133083.54934.ae pubmed: 15273542 pmcid: 1360123
van der Windt DJ, Bou-Samra P, Dadashzadeh ER, Chen X, Varley PR, Tsung A. Preoperative risk analysis index for frailty predicts short-term outcomes after hepatopancreatobiliary surgery. HPB. 2018;20:1181–8.
doi: 10.1016/j.hpb.2018.05.016 pubmed: 30005992
Mahmooth Z, Carpenter E, Lin E, et al. Frailty assessment in the acute care surgery population: the agreement and predictive value on length of stay and re-admission of 3 different instruments in a prospective cohort. Am J Surg. 2020;220:1058–63.
doi: 10.1016/j.amjsurg.2020.03.026 pubmed: 32312476
Shah R, Attwood K, Arya S, et al. Association of frailty with failure to rescue after low-risk and high-risk inpatient surgery. JAMA Surg. 2018;153:e180214.
doi: 10.1001/jamasurg.2018.0214 pubmed: 29562073 pmcid: 5875343
Lu J, Xu BB, Xue Z, et al. Perioperative CRP: a novel inflammation-based classification in gastric cancer for recurrence and chemotherapy benefit. Cancer Med. 2021;10:34–44.
doi: 10.1002/cam4.3514 pubmed: 33270989
Bert M, Devilliers H, Orry D, Rat P, Facy O, Ortega-Deballon P. Preoperative inflammation is an independent factor of worse prognosis after colorectal cancer surgery. J Visc Surg. 2021;158:305–11.
doi: 10.1016/j.jviscsurg.2020.08.001 pubmed: 33446466
Li JD, Xu XF, Han J, et al. Preoperative prealbumin level as an independent predictor of long-term prognosis after liver resection for hepatocellular carcinoma: a multi-institutional study. HPB. 2019;21:157–66.
doi: 10.1016/j.hpb.2018.06.1803 pubmed: 30082212
Zheng BH, Yang LX, Sun QM, et al. A new preoperative prognostic system combining CRP and CA199 for patients with intrahepatic cholangiocarcinoma. Clin Transl Gastroenterol. 2017;8:e118.
doi: 10.1038/ctg.2017.45 pubmed: 28981082 pmcid: 5666116
Moghadamyeghaneh Z, Hwang G, Hanna MH, et al. Even modest hypoalbuminemia affects outcomes of colorectal surgery patients. Am J Surg. 2015;210:276–84.
doi: 10.1016/j.amjsurg.2014.12.038 pubmed: 25892597
Gupta D, Lis CG. Pretreatment serum albumin as a predictor of cancer survival: a systematic review of the epidemiological literature. Nutr J. 2010;9:69.
doi: 10.1186/1475-2891-9-69 pubmed: 21176210 pmcid: 3019132
Hu WH, Cajas-Monson LC, Eisenstein S, Parry L, Cosman B, Ramamoorthy S. Preoperative malnutrition assessments as predictors of postoperative mortality and morbidity in colorectal cancer: an analysis of ACS-NSQIP. Nutr J. 2015;14:91.
doi: 10.1186/s12937-015-0081-5 pubmed: 26345703 pmcid: 4561437
Zhou J, Hiki N, Mine S, et al. Role of prealbumin as a powerful and simple index for predicting postoperative complications after gastric cancer surgery. Ann Surg Oncol. 2017;24:510–7.
doi: 10.1245/s10434-016-5548-x pubmed: 27638673
Estock JL, Schlegel C, Shinall MC, et al. Interpreting the risk analysis index of frailty in the context of surgical oncology. J Surg Oncol. 2023;127:1062–70.
doi: 10.1002/jso.27218 pubmed: 36881022
Shinall MC Jr, Arya S, Youk A, et al. Association of preoperative patient frailty and operative stress with postoperative mortality. JAMA Surg. 2020;155:e194620.
doi: 10.1001/jamasurg.2019.4620 pubmed: 31721994
Varley PR, Buchanan D, Bilderback A, et al. Association of routine preoperative frailty assessment with 1-year postoperative mortality. JAMA Surg. 2023;158:475–83.
doi: 10.1001/jamasurg.2022.8341 pubmed: 36811872
Mareschal J, Hemmer A, Douissard J, et al. Surgical prehabilitation in patients with gastrointestinal cancers: impact of unimodal and multimodal programs on postoperative outcomes and prospects for new therapeutic strategies: a systematic review. Cancers. 2023. https://doi.org/10.3390/cancers15061881 .
doi: 10.3390/cancers15061881 pubmed: 36980767 pmcid: 10047365
Trépanier M, Minnella EM, Paradis T, et al. Improved disease-free survival after prehabilitation for colorectal cancer surgery. Ann Surg. 2019;270:493–501.
doi: 10.1097/SLA.0000000000003465 pubmed: 31318793
Molenaar CJ, van Rooijen SJ, Fokkenrood HJ, Roumen RM, Janssen L, Slooter GD. Prehabilitation versus no prehabilitation to improve functional capacity, reduce postoperative complications, and improve quality of life in colorectal cancer surgery. Cochrane Database Syst Rev. 2022;5:CD013259.
pubmed: 35588252

Auteurs

Nazanin Khajoueinejad (N)

Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Elad Sarfaty (E)

Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Allen T Yu (AT)

Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Alison Buseck (A)

Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Samantha Troob (S)

Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Sayed Imtiaz (S)

Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Ayman Mohammad (A)

Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Da Eun Cha (DE)

Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Eric Pletcher (E)

Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Elizabeth Gleeson (E)

Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Rebekah Macfie (R)

Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Jacquelyn Carr (J)

Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Spiros P Hiotis (SP)

Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Benjamin Golas (B)

Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Camilo Correa-Gallego (C)

Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Umut Sarpel (U)

Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Deepa Magge (D)

Division of Surgical Oncology and Endocrine Surgery, Department of Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.

Daniel M Labow (DM)

Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Noah A Cohen (NA)

Division of Surgical Oncology, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Noah.Cohen@mountsinai.org.

Classifications MeSH