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Predicting Short-Term Outcome After Surgery for Primary Spinal Tumors Based on Patient Frailty.

Publication ,  Journal Article
Ahmed, AK; Goodwin, CR; De la Garza-Ramos, R; Kim, RC; Abu-Bonsrah, N; Xu, R; Sciubba, DM
Published in: World Neurosurg
December 2017

OBJECTIVE: Frailty, decreased physiologic reserve and increased vulnerability to stressors beyond what is expected for normal aging, is associated with increased risk of morbidity and mortality. The objective of this study was to develop a preoperative frailty index for patients undergoing surgery for primary spinal column tumors that predicts morbidity, mortality, and length of stay. METHODS: The Nationwide Inpatient Sample database from 2002 to 2011 was used to identify patients who underwent surgery for a primary spinal tumor. The spinal tumor frailty index, consisting of 9 items, was applied to each patient. Patients were characterized as "not frail" (0), "mildly frail" (1), "moderately frail" (2), and "severely frail" (≥3). RESULTS: Inclusion criteria were met by 1589 patients. Overall major complication rate was 10.6%. Compared with patients without frailty, patients with mild (odds ratio 3.83; 95% confidence interval, 2.63-5.58), moderate (odds ratio 6.80; 95% confidence interval, 4.10-11.3), and severe frailty (odds ratio 13.05; 95% confidence interval, 6.34-26.87) had significantly increased odds of developing complications (all P < 0.001). Mean length of stay was 6.4 days ± 0.2, 9.8 days ± 0.6, 14.4 days ± 1.7, and 18.3 days ± 2.6 for patients without frailty, with mild frailty, with moderate frailty, and with severe frailty (P < 0.05 between all groups). CONCLUSIONS: Compared with patients without frailty, patients with mild, moderate, and severe frailty had significantly increased odds of developing postoperative complications. Systematic evaluation of preoperative frailty should play a key role in decision making for patients undergoing surgery for primary spinal tumors.

Duke Scholars

Published In

World Neurosurg

DOI

EISSN

1878-8769

Publication Date

December 2017

Volume

108

Start / End Page

393 / 398

Location

United States

Related Subject Headings

  • Treatment Outcome
  • Spinal Neoplasms
  • Severity of Illness Index
  • Prognosis
  • Odds Ratio
  • Middle Aged
  • Male
  • Length of Stay
  • Kaplan-Meier Estimate
  • Humans
 

Citation

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MLA
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Ahmed, A. K., Goodwin, C. R., De la Garza-Ramos, R., Kim, R. C., Abu-Bonsrah, N., Xu, R., & Sciubba, D. M. (2017). Predicting Short-Term Outcome After Surgery for Primary Spinal Tumors Based on Patient Frailty. World Neurosurg, 108, 393–398. https://doi.org/10.1016/j.wneu.2017.09.034
Ahmed, A Karim, C Rory Goodwin, Rafael De la Garza-Ramos, Rachel C. Kim, Nancy Abu-Bonsrah, Risheng Xu, and Daniel M. Sciubba. “Predicting Short-Term Outcome After Surgery for Primary Spinal Tumors Based on Patient Frailty.World Neurosurg 108 (December 2017): 393–98. https://doi.org/10.1016/j.wneu.2017.09.034.
Ahmed AK, Goodwin CR, De la Garza-Ramos R, Kim RC, Abu-Bonsrah N, Xu R, et al. Predicting Short-Term Outcome After Surgery for Primary Spinal Tumors Based on Patient Frailty. World Neurosurg. 2017 Dec;108:393–8.
Ahmed, A. Karim, et al. “Predicting Short-Term Outcome After Surgery for Primary Spinal Tumors Based on Patient Frailty.World Neurosurg, vol. 108, Dec. 2017, pp. 393–98. Pubmed, doi:10.1016/j.wneu.2017.09.034.
Ahmed AK, Goodwin CR, De la Garza-Ramos R, Kim RC, Abu-Bonsrah N, Xu R, Sciubba DM. Predicting Short-Term Outcome After Surgery for Primary Spinal Tumors Based on Patient Frailty. World Neurosurg. 2017 Dec;108:393–398.
Journal cover image

Published In

World Neurosurg

DOI

EISSN

1878-8769

Publication Date

December 2017

Volume

108

Start / End Page

393 / 398

Location

United States

Related Subject Headings

  • Treatment Outcome
  • Spinal Neoplasms
  • Severity of Illness Index
  • Prognosis
  • Odds Ratio
  • Middle Aged
  • Male
  • Length of Stay
  • Kaplan-Meier Estimate
  • Humans