J Neurol Surg B Skull Base 2022; 83(05): 536-547
DOI: 10.1055/s-0041-1740577
Original Article

Assessing Risk of Severe Complications after Endoscopic Transnasal Transsphenoidal Surgery: A Comparison of Frailty, American Society of Anesthesiologists, and Comorbidity Scores

1   Division of Otolaryngology, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut, United States
,
Roy Jiang
2   Department of Surgery, Division of Otolaryngology, Yale University School of Medicine, New Haven, Connecticut, United States
,
Richard P. Manes
1   Division of Otolaryngology, Department of Surgery, Yale University School of Medicine, New Haven, Connecticut, United States
› Author Affiliations

Abstract

Objective This study aimed to improve age-independent risk stratification for patients undergoing endoscopic transnasal transsphenoidal (TNTS) approach to pituitary mass resection by investigating the associations between frailty, American Society of Anesthesiologists (ASA), and comorbidity scores with severe complications following TNTS.

Design This study is a retrospective review.

Setting This review was conducted utilizing the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database.

Participants A total of 680 cases of TNTS identified from 2010 to 2013 were included in this study.

Main Outcome Measures The modified frailty index (mFI) was calculated to quantify frailty. ASA and Charlson's comorbidity index (CCI) scores were obtained as physiologic status and comorbidity-based prognostic markers. Severe complications were separated into intensive care unit (ICU)-level complications, defined by Clavien–Dindo grade IV (CDIV) criteria, and mortality.

Results Overall, 24 CDIV complications (3.5%) and 6 deaths (0.9%) were recorded. Scores for mFI (p = 0.01, R 2 = 0.97) and ASA (p = 0.04., R 2 = 0.87) were significantly correlated with CDIV complications. ASA scores were significantly correlated with mortality (p = 0.03, R 2 = 0.87), as well as independently associated with CDIV complication by multivariable regression models (odds ratio [OR] = 2.96, 95% confidence interval [CI]: 1.35–6.83, p < 0.01), while mFI was not. CCI was not significantly associated with CDIV complications or mortality. A multivariable regression model incorporating ASA had a lower Akaike's Information Criteria (AIC; 188.55) than a model incorporating mFI (195.99).

Conclusion Frailty and physiologic status, as measured by mFI and ASA scores respectively, both correlate with ICU-level complications after TNTS. ASA scores demonstrate greater clinical utility than mFI scores; however, as they are more easily generated, uniquely correlated with mortality and independently associated with ICU-level complication risk on multivariable regression analysis.

Supplementary Material



Publication History

Received: 28 August 2021

Accepted: 11 November 2021

Article published online:
16 December 2021

© 2021. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 
  • References

  • 1 Azab MA, O'Hagan M, Abou-Al-Shaar H, Karsy M, Guan J, Couldwell WT. Safety and outcome of transsphenoidal pituitary adenoma resection in elderly patients. World Neurosurg 2019; 122: e1252-e1258
  • 2 Varshney S, Gupta C, Bansal KK, Bist SS, Bhagat S. Endoscopic trans-nasal trans-sphenoidal (TNTS) approach for pituitary adenomas: our experience. Indian J Otolaryngol Head Neck Surg 2013; 65 (Suppl. 02) 308-313
  • 3 Tabaee A, Anand VK, Barrón Y. et al. Endoscopic pituitary surgery: a systematic review and meta-analysis. J Neurosurg 2009; 111 (03) 545-554
  • 4 Goudakos JK, Markou KD, Georgalas C. Endoscopic versus microscopic trans-sphenoidal pituitary surgery: a systematic review and meta-analysis. Clin Otolaryngol 2011; 36 (03) 212-220
  • 5 Ammirati M, Wei L, Ciric I. Short-term outcome of endoscopic versus microscopic pituitary adenoma surgery: a systematic review and meta-analysis. J Neurol Neurosurg Psychiatry 2013; 84 (08) 843-849
  • 6 McDowell BD, Wallace RB, Carnahan RM, Chrischilles EA, Lynch CF, Schlechte JA. Demographic differences in incidence for pituitary adenoma. Pituitary 2011; 14 (01) 23-30
  • 7 Gondim JA, Almeida JP, de Albuquerque LAF, Gomes E, Schops M, Mota JI. Endoscopic endonasal transsphenoidal surgery in elderly patients with pituitary adenomas. J Neurosurg 2015; 123 (01) 31-38
  • 8 Wilson PJ, Omay SB, Kacker A, Anand VK, Schwartz TH. Endonasal endoscopic pituitary surgery in the elderly. J Neurosurg 2018; 128 (02) 429-436
  • 9 Chinezu R, Fomekong F, Lasolle H. et al. Risks and benefits of endoscopic transsphenoidal surgery for nonfunctioning pituitary adenomas in patients of the ninth decade. World Neurosurg 2017; 106: 315-321
  • 10 Zhan R, Ma Z, Wang D, Li X. Pure endoscopic endonasal transsphenoidal approach for nonfunctioning pituitary adenomas in the elderly: Surgical outcomes and complications in 158 patients. World Neurosurg 2015; 84 (06) 1572-1578
  • 11 Fujimoto K, Yano S, Shinojima N, Hide T, Kuratsu JI. Endoscopic endonasal transsphenoidal surgery for patients aged over 80 years with pituitary adenomas: Surgical and follow-up results. Surg Neurol Int 2017; 8 (01) 213
  • 12 Fried LP, Tangen CM, Walston J. et al. Frailty in older adults: evidence for a phenotype. . J Gerontol A Biol Sci Med Sci 2001; 56 (03) M146-M156
  • 13 Mitnitski AB, Graham JE, Mogilner AJ, Rockwood K. Frailty, fitness and late-life mortality in relation to chronological and biological age. BMC Geriatr 2002; 2: 1
  • 14 Bergman H, Ferrucci L, Guralnik J. et al. Frailty: an emerging research and clinical paradigm–issues and controversies. J Gerontol A Biol Sci Med Sci 2007; 62 (07) 731-737
  • 15 Fulop T, Larbi A, Witkowski JM. et al. Aging, frailty and age-related diseases. Biogerontology 2010; 11 (05) 547-563
  • 16 Farhat JS, Velanovich V, Falvo AJ. et al. Are the frail destined to fail? Frailty index as predictor of surgical morbidity and mortality in the elderly. J Trauma Acute Care Surg 2012; 72 (06) 1526-1530 , discussion 1530–1531
  • 17 Johns Hopkins Bloomberg School of Public Health. The Johns Hopkins ACG System Version 11.0 Technical Reference Guide. Accessed August 28, 2020 at: https://www2.gov.bc.ca/assets/gov/health/conducting-health-research/data-access/johns-hopkins-acg-system-technical-reference-guide.pdf
  • 18 Visser L, Banning LBD, El Moumni M, Zeebregts CJ, Pol RA. The effect of frailty on outcome after vascular surgery. Eur J Vasc Endovasc Surg 2019; 58 (05) 762-769
  • 19 Abt NB, Richmon JD, Koch WM, Eisele DW, Agrawal N. Assessment of the predictive value of the modified frailty index for Clavien-Dindo grade IV critical care complications in major head and neck cancer operations. JAMA Otolaryngol Head Neck Surg 2016; 142 (07) 658-664
  • 20 Goldstein DP, Sklar MC, de Almeida JR. et al. Frailty as a predictor of outcomes in patients undergoing head and neck cancer surgery. Laryngoscope 2020; 130 (05) E340-E345
  • 21 Pitts KD, Arteaga AA, Stevens BP. et al. Frailty as a predictor of postoperative outcomes among patients with head and neck cancer. Otolaryngol Head Neck Surg 2019; 160 (04) 664-671
  • 22 Wachal B, Johnson M, Burchell A. et al. Association of modified frailty index score with perioperative risk for patients undergoing total laryngectomy. JAMA Otolaryngol Head Neck Surg 2017; 143 (08) 818-823
  • 23 Abt NB, Xie Y, Puram SV, Richmon JD, Varvares MA. Frailty index: Intensive care unit complications in head and neck oncologic regional and free flap reconstruction. Head Neck 2017; 39 (08) 1578-1585
  • 24 Youngerman BE, Neugut AI, Yang J, Hershman DL, Wright JD, Bruce JN. The modified frailty index and 30-day adverse events in oncologic neurosurgery. J Neurooncol 2018; 136 (01) 197-206
  • 25 Imaoka Y, Kawano T, Hashiguchi A. et al. Modified frailty index predicts postoperative outcomes of spontaneous intracerebral hemorrhage. Clin Neurol Neurosurg 2018; 175: 137-143
  • 26 Banaszek D, Inglis T, Marion TE. et al. Effect of frailty on outcome after traumatic spinal cord injury. J Neurotrauma 2020; 37 (06) 839-845
  • 27 Leven DM, Lee NJ, Kothari P. et al. Frailty index is a significant predictor of complications and mortality after surgery for adult spinal deformity. Spine 2016; 41 (23) E1394-E1401
  • 28 Saklad M. Grading of patients for surgical procedures. Anesthesiology 1941; 2 (03) 281-284
  • 29 American Society of Anesthesiologists. ASA physical status classification system. Accessed June 18, 2020 at: https://www.asahq.org/standards-and-guidelines/asa-physical-status-classification-system
  • 30 Mayhew D, Mendonca V, Murthy BVS. A review of ASA physical status - historical perspectives and modern developments. Anaesthesia 2019; 74 (03) 373-379
  • 31 Adams P, Ghanem T, Stachler R, Hall F, Velanovich V, Rubinfeld I. Frailty as a predictor of morbidity and mortality in inpatient head and neck surgery. JAMA Otolaryngol Head Neck Surg 2013; 139 (08) 783-789
  • 32 Fancy T, Huang AT, Kass JI. et al. Complications, mortality, and functional decline in patients 80 years or older undergoing major head and neck ablation and reconstruction. JAMA Otolaryngol Head Neck Surg 2019; 145 (12) 1150-1157
  • 33 Lakomkin N, Zuckerman SL, Stannard B. et al. Preoperative risk stratification in spine tumor surgery: a comparison of the modified Charlson index, frailty index, and ASA score. Spine 2019; 44 (13) E782-E787
  • 34 Mummareddy N, Ahluwalia R, Zuckerman SL, Lakomkin N, Asher A, Devin CJ. Identifying the most appropriate lumbar decompression patients for ambulatory surgery centers - A pilot study using inpatient and outpatient hospital data. J Clin Neurosci 2020; 72: 206-210
  • 35 Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987; 40 (05) 373-383
  • 36 Baskin RM, Zhang J, Dirain C. et al. Predictors of returns to the emergency department after head and neck surgery. Head Neck 2018; 40 (03) 498-511
  • 37 Kim J, Kim S, Albergotti WG. et al. Selection of ideal candidates for surgical salvage of head and neck squamous cell carcinoma: effect of the Charlson-age comorbidity index and oncologic characteristics on 1-year survival and hospital course. JAMA Otolaryngol Head Neck Surg 2015; 141 (12) 1059-1065
  • 38 Lee CC, Ho HC, Su YC, Chen PC, Yu CH, Yang CC. Comparison of different comorbidity measures for oral cancer patients with surgical intervention: A longitudinal study from a single cancer center. Auris Nasus Larynx 2016; 43 (03) 322-329
  • 39 De Bonis P, Iaccarino C, Musio A. et al. Functional outcome of elderly patients treated for odontoid fracture: a multicenter study. Spine 2019; 44 (13) 951-958
  • 40 Bellamy JL, Runner RP, Vu CCL, Schenker ML, Bradbury TL, Roberson JR. Modified frailty index is an effective risk assessment tool in primary total hip arthroplasty. J Arthroplasty 2017; 32 (10) 2963-2968
  • 41 Asemota AO, Gallia GL. Impact of frailty on short-term outcomes in patients undergoing transsphenoidal pituitary surgery. J Neurosurg 2019; 132 (02) 360-370
  • 42 Carli F, Bessissow A, Awasthi R, Liberman S. Prehabilitation: finally utilizing frailty screening data. Eur J Surg Oncol 2020; 46 (03) 321-325
  • 43 Mouch CA, Kenney BC, Lorch S. et al. Statewide prehabilitation program and episode payment in medicare beneficiaries. J Am Coll Surg 2020; 230 (03) 306-313.e6
  • 44 Kaye DR, Schafer C, Thelen-Perry S. et al. The feasibility and impact of a presurgical exercise intervention program (prehabilitation) for patient undergoing cystectomy for bladder cancer. Urology 2020; 145: 106-112
  • 45 Stammers AN, Kehler DS, Afilalo J. et al. Protocol for the PREHAB study-pre-operative rehabilitation for reduction of hospitalization after coronary bypass and valvular surgery: a randomised controlled trial. BMJ Open 2015; 5 (03) e007250
  • 46 Waite I, Deshpande R, Baghai M, Massey T, Wendler O, Greenwood S. Home-based preoperative rehabilitation (prehab) to improve physical function and reduce hospital length of stay for frail patients undergoing coronary artery bypass graft and valve surgery. J Cardiothorac Surg 2017; 12 (01) 91
  • 47 Loewen I, Jeffery CC, Rieger J, Constantinescu G. Prehabilitation in head and neck cancer patients: a literature review. J Otolaryngol Head Neck Surg 2021; 50 (01) 2
  • 48 Licina A, Silvers A, Laughlin H, Russell J, Wan C. Pathway for enhanced recovery after spinal surgery-a systematic review of evidence for use of individual components. BMC Anesthesiol 2021; 21 (01) 74
  • 49 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 (05) 937-947
  • 50 Bousquet-Dion G, Awasthi R, Loiselle SE. et al. Evaluation of supervised multimodal prehabilitation programme in cancer patients undergoing colorectal resection: a randomized control trial. Acta Oncol 2018; 57 (06) 849-859
  • 51 Carli F, Bousquet-Dion G, Awasthi R. et al. Effect of multimodal prehabilitation vs postoperative rehabilitation on 30-day postoperative complications for frail patients undergoing resection of colorectal cancer: a randomized clinical trial. JAMA Surg 2020; 155 (03) 233-242
  • 52 Moore J, Scoggins CR, Philips P. et al. Implementation of prehabilitation for major abdominal surgery and head and neck surgery: a simplified seven-day protocol. J Gastrointest Surg 2021; 25 (08) 2076-2082