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Association Between 6-Week Postdischarge Risk Classification and 12-Month Outcomes After Orthopedic Trauma.

Authors :
Castillo RC
Huang Y
Scharfstein D
Frey K
Bosse MJ
Pollak AN
Vallier HA
Archer KR
Hymes RA
Newcomb AB
MacKenzie EJ
Wegener S
Hsu JR
Karunakar MA
Seymour RB
Sims SH
Flores E
Churchill C
Hak DJ
Henderson CE
Mir HR
Chan DS
Shah AR
Steverson B
Westberg J
Gary JL
Achor TS
Choo A
Munz JW
Porrey M
Hendrickson S
Breslin MA
McKinley TO
Gaski GE
Kempton LB
Sorkin AT
Virkus WW
Hill LC
Jones CB
Sietsema DL
O'Toole RV
Ordonio K
Howe AL
Zerhusen TJ Jr
Obremskey W
Boyce RH
Jahangir AA
Molina CS
Sethi MK
Vanston SW
Carroll EA
Drye DY
Holden MB
Collins SC
Wysocki E
Source :
JAMA surgery [JAMA Surg] 2019 Feb 01; Vol. 154 (2), pp. e184824. Date of Electronic Publication: 2019 Feb 20.
Publication Year :
2019

Abstract

Importance: Numerous studies have demonstrated that long-term outcomes after orthopedic trauma are associated with psychosocial and behavioral health factors evident early in the patient's recovery. Little is known about how to identify clinically actionable subgroups within this population.<br />Objectives: To examine whether risk and protective factors measured at 6 weeks after injury could classify individuals into risk clusters and evaluate whether these clusters explain variations in 12-month outcomes.<br />Design, Setting, and Participants: A prospective observational study was conducted between July 16, 2013, and January 15, 2016, among 352 patients with severe orthopedic injuries at 6 US level I trauma centers. Statistical analysis was conducted from October 9, 2017, to July 13, 2018.<br />Main Outcomes and Measures: At 6 weeks after discharge, patients completed standardized measures for 5 risk factors (pain intensity, depression, posttraumatic stress disorder, alcohol abuse, and tobacco use) and 4 protective factors (resilience, social support, self-efficacy for return to usual activity, and self-efficacy for managing the financial demands of recovery). Latent class analysis was used to classify participants into clusters, which were evaluated against measures of function, depression, posttraumatic stress disorder, and self-rated health collected at 12 months.<br />Results: Among the 352 patients (121 women and 231 men; mean [SD] age, 37.6 [12.5] years), latent class analysis identified 6 distinct patient clusters as the optimal solution. For clinical use, these clusters can be collapsed into 4 groups, sorted from low risk and high protection (best) to high risk and low protection (worst). All outcomes worsened across the 4 clinical groupings. Bayesian analysis shows that the mean Short Musculoskeletal Function Assessment dysfunction scores at 12 months differed by 7.8 points (95% CI, 3.0-12.6) between the best and second groups, by 10.3 points (95% CI, 1.6-20.2) between the second and third groups, and by 18.4 points (95% CI, 7.7-28.0) between the third and worst groups.<br />Conclusions and Relevance: This study demonstrates that during early recovery, patients with orthopedic trauma can be classified into risk and protective clusters that account for a substantial amount of the variance in 12-month functional and health outcomes. Early screening and classification may allow a personalized approach to postsurgical care that conserves resources and targets appropriate levels of care to more patients.

Details

Language :
English
ISSN :
2168-6262
Volume :
154
Issue :
2
Database :
MEDLINE
Journal :
JAMA surgery
Publication Type :
Academic Journal
Accession number :
30566192
Full Text :
https://doi.org/10.1001/jamasurg.2018.4824