ASA Physical Status Classification Improves Predictive Ability of a Validated Trauma Risk Score

被引:25
作者
Konda, Sanjit R. [1 ]
Parola, Rown [1 ]
Perskin, Cody [1 ]
Egol, Kenneth A. [1 ]
机构
[1] NYU Langone Orthoped Hosp, NYU Langone Hlth, Dept Orthoped Surg, New York, NY USA
关键词
trauma surgery; geriatric trauma; economics of medicine; systems of care; geriatric medicine; JOINT ARTHROPLASTY; SURGICAL-TREATMENT; MORTALITY; TOOL; STRATIFICATION; COST; CARE;
D O I
10.1177/2151459321989534
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Introduction: The Score for Trauma Triage in the Geriatric and Middle-Aged (STTGMA) is a validated mortality risk score that evaluates 4 major physiologic criteria: age, comorbidities, vital signs, and anatomic injuries. The aim of this study was to investigate whether the addition of ASA physical status classification system to the STTGMA tool would improve risk stratification of a middle-aged and elderly trauma population. Methods: A total of 1332 patients aged 55 years and older who sustained a hip fracture through a low-energy mechanism between October 2014 and February 2020 were included. The STTGMA and STTGMAASA mortality risk scores were calculated. The ability of the models to predict inpatient mortality was compared using area under the receiver operating characteristic curves (AUROCs) by DeLong's test. Patients were stratified into minimal, low, moderate, and high risk cohorts based on their risk scores. Comparative analyses between risk score stratification distribution of mortality, complications, length of stay, ICU admission, and readmission were performed using Fisher's exact test. Total cost of admission was fitted by univariate linear regression with STTGMA and STTGMAASA. Results: There were 27 inpatient mortalities (2.0%). When STTGMA was used, the AUROC was 0.742. When STTGMAASA was used, the AUROC was 0.823. DeLong's test resulted in significant difference in predictive capacity for inpatient mortality between STTGMA and STTGMAASA (p = 0.04). Risk score stratification yielded significantly different distribution of all outcomes between risk cohorts (p < 0.01). STTGMAASA stratification produced a larger percentage of all negative outcomes with increasing risk cohort. Total hospital cost was statistically correlated with both STTGMAASA (p < 0.01) and STTGMA (p = 0.02). Conclusion: Including ASA physical status as a variable in STTGMA improves the model's ability to predict inpatient mortality and risk stratify middle-aged and geriatric hip fracture patients.
引用
收藏
页数:7
相关论文
共 27 条
[1]   Analysis of Past Secular Trends of Hip Fractures and Predicted Number in the Future 2010-2050 [J].
Brown, Christopher A. ;
Starr, Aijing Z. ;
Nunley, James A. .
JOURNAL OF ORTHOPAEDIC TRAUMA, 2012, 26 (02) :117-122
[2]   COMPARING THE AREAS UNDER 2 OR MORE CORRELATED RECEIVER OPERATING CHARACTERISTIC CURVES - A NONPARAMETRIC APPROACH [J].
DELONG, ER ;
DELONG, DM ;
CLARKEPEARSON, DI .
BIOMETRICS, 1988, 44 (03) :837-845
[3]  
Doyle D.J., 2020, StatPearls
[4]  
Dy CJ, 2011, J BONE JOINT SURG AM, V93A, P1326, DOI [10.2106/JBJSJ.01132, 10.2106/JBJS.I.01132]
[5]   An assessment of the inter-rater reliability of the ASA physical status score in the orthopaedic trauma population [J].
Ihejirika, Rivka C. ;
Thakore, Rachel V. ;
Sathiyakumar, Vasanth ;
Ehrenfeld, Jesse M. ;
Obremskey, William T. ;
Sethi, Manish K. .
INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED, 2015, 46 (04) :542-546
[6]   The Effects of American Society of Anesthesiologists Physical Status on Length of Stay and Inpatient Cost in the Surgical Treatment of Isolated Orthopaedic Fractures [J].
Kay, Harrison F. ;
Sathiyakumar, Vasanth ;
Yoneda, Zachary T. ;
Lee, Young M. ;
Jahangir, A. Alex ;
Ehrenfeld, Jesse M. ;
Obremskey, William T. ;
Apfeld, Jordan C. ;
Sethi, Manish K. .
JOURNAL OF ORTHOPAEDIC TRAUMA, 2014, 28 (07) :E153-E159
[7]   Ability of a Risk Prediction Tool to Stratify Quality and Cost for Older Patients With Tibial Shaft and Plateau Fractures [J].
Konda, Sanjit R. ;
Dedhia, Nicket ;
Ganta, Abhishek ;
Egol, Kenneth A. .
JOURNAL OF ORTHOPAEDIC TRAUMA, 2020, 34 (10) :539-544
[8]   Modification of a Validated Risk Stratification Tool to Characterize Geriatric Hip Fracture Outcomes and Optimize Care in a Post-COVID-19 World [J].
Konda, Sanjit R. ;
Ranson, Rachel A. ;
Solasz, Sara J. ;
Dedhia, Nicket ;
Lott, Ariana ;
Bird, Mackenzie L. ;
Landes, Emma K. ;
Aggarwal, Vinay K. ;
Bosco, Joseph A., III ;
Furgiuele, David L. ;
Gould, Jason ;
Lyon, Thomas R. ;
McLaurin, Toni M. ;
Tejwani, Nirmal C. ;
Zuckerman, Joseph D. ;
Leucht, Philipp ;
Ganta, Abhishek ;
Egol, Kenneth A. .
JOURNAL OF ORTHOPAEDIC TRAUMA, 2020, 34 (09) :E317-E324
[9]   Can We Accurately Predict Which Geriatric and Middle-Aged Hip Fracture Patients Will Experience a Delay to Surgery? [J].
Konda, Sanjit R. ;
Johnson, Joseph R. ;
Kelly, Erin A. ;
Chan, Jeffrey ;
Lyon, Thomas ;
Egol, Kenneth A. .
GERIATRIC ORTHOPAEDIC SURGERY & REHABILITATION, 2020, 11
[10]   Using Trauma Triage Score to Risk-Stratify Inpatient Triage, Hospital Quality Measures, and Cost in Middle-Aged and Geriatric Orthopaedic Trauma Patients [J].
Konda, Sanjit R. ;
Lott, Ariana ;
Saleh, Hesham ;
Lyon, Thomas ;
Egol, Kenneth A. .
JOURNAL OF ORTHOPAEDIC TRAUMA, 2019, 33 (10) :525-530