Identifying a clinical decision tool to predict discharge disposition following operative treatment of hip fractures in the United States.
Injury
; 51(4): 1015-1020, 2020 Apr.
Article
em En
| MEDLINE
| ID: mdl-32122627
ABSTRACT
BACKGROUND:
Post-discharge management following operative treatment of hip fractures continues to be performed on a case-by-case basis, with no uniform guidelines dictating management. Predicting discharge to post-acute care (PAC) facilities (i.e. skilled nursing facilities and inpatient rehabilitation facilities) can assist preoperative planning and potentially decrease length of stay secondary to disposition issues. The goal of this study was to develop a nomogram using easily identified variables to preoperatively predict discharge disposition following operative treatment of hip fractures.METHODS:
Using the National Surgical Quality Improvement Program database, patients who underwent surgical intervention for hip fractures between 2012 and 2015 were identified. A multivariable logistic regression model was used to identify risk factors for discharge to a PAC facility, and a predictive nomogram was created based on these results.RESULTS:
From 2012 to 2015, 33,371 hip fractures were identified 13,336 (40%) femoral neck fractures, and 20,035 (60%) intertrochanteric femur fractures. Of the patients identified, 26,082 (78.2%) were discharged to a PAC while the remainder were discharged home with or without home health. 70% of patients were female and 92.4% were Caucasian. When accounting for comorbidities, using the American Society of Anesthesiologists (ASA) classification system, 6,122 patients (18.4%) had 'Mild Systemic Disease' (ASA 2), 20,872 (62.6%) patients had 'Severe Systemic Disease' (ASA 3), and 6,006 (18.1%) had 'Life Threatening Disease' (ASA 4/5). The majority of patients were brought in from a 'Home' setting, while 10.4% of patients were admitted from a 'Long-Term Care' setting. After controlling for confounding variables, older age and increasing ASA class were predictive of an increased risk of discharge to a PAC. Diabetes, dyspnea, congestive heart failure, and chronic obstructive pulmonary disease were not associated with an increased risk of discharge to a PAC.DISCUSSION:
Discharge disposition following operative treatment of hip fractures can be reliably predicted using a nomogram with commonly identified preoperative variables. LEVEL OF EVIDENCE Level III, Retrospective Cohort Design, Observational Study.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Contexto em Saúde:
11_ODS3_cobertura_universal
Base de dados:
MEDLINE
Assunto principal:
Alta do Paciente
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Instituições de Cuidados Especializados de Enfermagem
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Artroplastia de Quadril
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Fraturas do Quadril
Tipo de estudo:
Etiology_studies
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Guideline
/
Observational_studies
/
Prognostic_studies
/
Qualitative_research
/
Risk_factors_studies
Limite:
Adult
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Aged
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Aged80
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Female
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Humans
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Male
/
Middle aged
País/Região como assunto:
America do norte
Idioma:
En
Revista:
Injury
Ano de publicação:
2020
Tipo de documento:
Article