Can We Accurately Predict Which Geriatric and Middle-Aged Hip Fracture Patients Will Experience a Delay to Surgery?

Introduction: This study sought to investigate whether a validated trauma triage risk assessment tool can predict time to surgery and delay to surgery. Materials and Methods: Patients aged 55 and older who were admitted for operative repair or arthroplasty of a hip fracture over a 3-year period at a...

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Main Authors: Sanjit R. Konda MD, Joseph R. Johnson ScB, Erin A. Kelly MS, Jeffrey Chan MD, Thomas Lyon MD, Kenneth A. Egol MD
Format: Article
Language:English
Published: SAGE Publishing 2020-08-01
Series:Geriatric Orthopaedic Surgery & Rehabilitation
Online Access:https://doi.org/10.1177/2151459320946021
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spelling doaj-6145304bea164415a7f2f464364a37552020-11-25T03:35:04ZengSAGE PublishingGeriatric Orthopaedic Surgery & Rehabilitation2151-45932020-08-011110.1177/2151459320946021Can We Accurately Predict Which Geriatric and Middle-Aged Hip Fracture Patients Will Experience a Delay to Surgery?Sanjit R. Konda MD0Joseph R. Johnson ScB1Erin A. Kelly MS2Jeffrey Chan MD3Thomas Lyon MD4Kenneth A. Egol MD5 Jamaica Hospital Medical Center, Queens, NY, USA NYU Langone Orthopedic Hospital, NYU Langone Medical Center, NY, USA NYU Langone Orthopedic Hospital, NYU Langone Medical Center, NY, USA Jamaica Hospital Medical Center, Queens, NY, USA NYU Langone Hospital—Brooklyn, NY, USA Jamaica Hospital Medical Center, Queens, NY, USAIntroduction: This study sought to investigate whether a validated trauma triage risk assessment tool can predict time to surgery and delay to surgery. Materials and Methods: Patients aged 55 and older who were admitted for operative repair or arthroplasty of a hip fracture over a 3-year period at a single academic institution were included. Risk quartiles were constructed using Score for Trauma Triage in the Geriatric and Middle-Aged (STTGMA) calculations. Negative binomial and multivariable logistic regression were used to evaluate time to surgery and delay to surgery, respectively. Pairwise comparisons were performed to evaluate 30-day mortality rates and demonstrate the effectiveness of the STTGMA tool in triaging mortality risk. Results: Six hundred eleven patients met inclusion criteria with mean age 81.1 ± 10.5 years. Injuries occurred mainly secondary to low-energy mechanisms (97.9%). Median time to surgery (31.9 hours overall) was significantly associated with STTGMA stratification ( P = .002). Moderate-risk patients had 33% longer ( P = .019) and high-risk patients had 28% longer time to surgery ( P = .041) compared to minimal risk patients. Delay to surgery (26.4% overall) was significantly associated with STTGMA stratification ( P = .015). Low-risk patients had 2.14× higher odds ( P = .009), moderate-risk patients had 2.70× higher odds ( P = .001), and high-risk patients had 2.18× higher odds of delay to surgery ( P = .009) compared to minimal risk patients. High-risk patients experienced higher 30-day mortality compared to minimal ( P < .001), low ( P = .046), and moderate-risk patients ( P = .046). Discussion: Patients in higher STTGMA quartiles encountered longer time to surgery, greater operative delays, and higher 30-day mortality. Conclusion: Score for Trauma Triage in the Geriatric and Middle-Aged can quickly identify hip fracture patients at risk for a delay to surgery and may allow treatment teams to optimize surgical timing by proactively targeting these patients. Level of Evidence: Prognostic Level III.https://doi.org/10.1177/2151459320946021
collection DOAJ
language English
format Article
sources DOAJ
author Sanjit R. Konda MD
Joseph R. Johnson ScB
Erin A. Kelly MS
Jeffrey Chan MD
Thomas Lyon MD
Kenneth A. Egol MD
spellingShingle Sanjit R. Konda MD
Joseph R. Johnson ScB
Erin A. Kelly MS
Jeffrey Chan MD
Thomas Lyon MD
Kenneth A. Egol MD
Can We Accurately Predict Which Geriatric and Middle-Aged Hip Fracture Patients Will Experience a Delay to Surgery?
Geriatric Orthopaedic Surgery & Rehabilitation
author_facet Sanjit R. Konda MD
Joseph R. Johnson ScB
Erin A. Kelly MS
Jeffrey Chan MD
Thomas Lyon MD
Kenneth A. Egol MD
author_sort Sanjit R. Konda MD
title Can We Accurately Predict Which Geriatric and Middle-Aged Hip Fracture Patients Will Experience a Delay to Surgery?
title_short Can We Accurately Predict Which Geriatric and Middle-Aged Hip Fracture Patients Will Experience a Delay to Surgery?
title_full Can We Accurately Predict Which Geriatric and Middle-Aged Hip Fracture Patients Will Experience a Delay to Surgery?
title_fullStr Can We Accurately Predict Which Geriatric and Middle-Aged Hip Fracture Patients Will Experience a Delay to Surgery?
title_full_unstemmed Can We Accurately Predict Which Geriatric and Middle-Aged Hip Fracture Patients Will Experience a Delay to Surgery?
title_sort can we accurately predict which geriatric and middle-aged hip fracture patients will experience a delay to surgery?
publisher SAGE Publishing
series Geriatric Orthopaedic Surgery & Rehabilitation
issn 2151-4593
publishDate 2020-08-01
description Introduction: This study sought to investigate whether a validated trauma triage risk assessment tool can predict time to surgery and delay to surgery. Materials and Methods: Patients aged 55 and older who were admitted for operative repair or arthroplasty of a hip fracture over a 3-year period at a single academic institution were included. Risk quartiles were constructed using Score for Trauma Triage in the Geriatric and Middle-Aged (STTGMA) calculations. Negative binomial and multivariable logistic regression were used to evaluate time to surgery and delay to surgery, respectively. Pairwise comparisons were performed to evaluate 30-day mortality rates and demonstrate the effectiveness of the STTGMA tool in triaging mortality risk. Results: Six hundred eleven patients met inclusion criteria with mean age 81.1 ± 10.5 years. Injuries occurred mainly secondary to low-energy mechanisms (97.9%). Median time to surgery (31.9 hours overall) was significantly associated with STTGMA stratification ( P = .002). Moderate-risk patients had 33% longer ( P = .019) and high-risk patients had 28% longer time to surgery ( P = .041) compared to minimal risk patients. Delay to surgery (26.4% overall) was significantly associated with STTGMA stratification ( P = .015). Low-risk patients had 2.14× higher odds ( P = .009), moderate-risk patients had 2.70× higher odds ( P = .001), and high-risk patients had 2.18× higher odds of delay to surgery ( P = .009) compared to minimal risk patients. High-risk patients experienced higher 30-day mortality compared to minimal ( P < .001), low ( P = .046), and moderate-risk patients ( P = .046). Discussion: Patients in higher STTGMA quartiles encountered longer time to surgery, greater operative delays, and higher 30-day mortality. Conclusion: Score for Trauma Triage in the Geriatric and Middle-Aged can quickly identify hip fracture patients at risk for a delay to surgery and may allow treatment teams to optimize surgical timing by proactively targeting these patients. Level of Evidence: Prognostic Level III.
url https://doi.org/10.1177/2151459320946021
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