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      Assessment of Distal Radius Fracture Complications Among Adults 60 Years or Older : A Secondary Analysis of the WRIST Randomized Clinical Trial

      research-article
      , MD, MS 1 , , , MPH 1 , , MPH 1 , , ScD 2
      JAMA Network Open
      American Medical Association

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          Key Points

          Question

          Do rates or types of complications after distal radius fractures depend on treatment type?

          Findings

          In this secondary analysis of a randomized clinical trial of 304 adults from 24 health systems, the method of treatment participants received was associated with the rate or type of complications. Compared with participants who received internal fixation, participants who received any other treatments experienced complications at significantly higher rates.

          Meaning

          Choice of distal radius fracture treatment method in older patients should be specific to individual goals to minimize complication risks and improve outcomes.

          Abstract

          Importance

          Complications affect treatment outcomes and quality of life in addition to increasing treatment costs.

          Objectives

          To evaluate complication rates after the treatment of a distal radius fracture, to determine whether the rate or complication type is associated with treatment method, and to determine predictors of complications.

          Design, Setting, and Participants

          The multicenter Wrist and Radius Injury Surgical Trial (WRIST), a randomized clinical trial, enrolled participants from April 10, 2012, to December 31, 2016. The study included 304 adults 60 years or older with isolated unstable distal radius fractures; 187 were randomized and 117 opted for casting. The study was conducted at 24 health systems in the United States, Canada, and Singapore. Data for this secondary analysis were collected from April 24, 2012, to February 28, 2018.

          Interventions

          Participants opting for surgery were randomized to receive the volar locking plate system (n = 65), percutaneous pinning (n = 58), or bridging external fixation with or without supplemental pinning (n = 64). Patients who chose not to have surgery (n = 117) were not randomized and were enrolled for casting.

          Main Outcomes and Measures

          Complication rate.

          Results

          The WRIST enrolled a total of 304 participants, of whom 8 casting group participants were later found to be ineligible and were excluded from the analysis, leaving 296 participants. Randomized participants’ mean (SD) age was 68 (7.2) years, 163 (87%) were female, and 165 (88%) were white. Casting participants’ mean (SD) age was 75.6 (9.6) years, 93 (84%) were female, and 85 (85%) were white. The most common type of complications varied by treatment. Twelve of 65 participants (18.5%) in the internal fixation group reported a median nerve compression, while 16 of 26 participants (25.8%) who received external fixation and 13 of 56 participants (23.2%) who received pinning sustained pin site infections. Compared with the internal fixation group, complication rate for any severity complication was higher in participants who initially received casting (adjusted rate ratio, 1.88; 95% CI, 1.22-2.88), whereas the rate for moderate complications was higher in the external fixation group (adjusted rate ratio, 2.52; 95% CI, 1.25-5.09).

          Conclusions and Relevance

          The distal radius fracture treatment decision-making process for older patients should incorporate a complication profile for each treatment type. For example, external fixation and pinning could be used for patients after apprising them of pin site infection risk. Internal fixation can be done in patients with high functional demands who are willing to receive surgery. Internal fixation use should be substantiated owing to the time and cost involved.

          Trial Registration

          ClinicalTrials.gov Identifier: NCT01589692

          Abstract

          This secondary analysis of the WRIST (Wrist and Radius Injury Surgical Trial) randomized clinical trial evaluates complication rates among older patients receiving treatment for a distal radius fracture and whether the rate or complication type is associated with treatment method.

          Related collections

          Most cited references39

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          The Self-Administered Comorbidity Questionnaire: a new method to assess comorbidity for clinical and health services research.

          To develop the Self-Administered Comorbidity Questionnaire (SCQ) and assess its psychometric properties, including the predictive validity of the instrument, as reflected by its association with health status and health care utilization after 1 year. A cross-sectional comparison of the SCQ with a standard, chart abstraction-based measure (Charlson Index) was conducted on 170 inpatients from medical and surgical care units. The association of the SCQ with the chart-based comorbidity instrument and health status (short form 36) was evaluated cross sectionally. The association between these measures and health status and resource utilization was assessed after 1 year. The Spearman correlation coefficient for the association between the SCQ and the Charlson Index was 0.32. After restricting each measure to include only comparable items, the correlation between measures was stronger (Spearman r = 0.55). The SCQ had modest associations with measures of resource utilization during the index admission, and with health status and resource utilization after 1 year. The SCQ has modest correlations with a widely used medical record-based comorbidity instrument, and with subsequent health status and utilization. This new measure represents an efficient method to assess comorbid conditions in clinical and health services research. It will be particularly useful in settings where medical records are unavailable.
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            The Rapid Assessment of Physical Activity (RAPA) Among Older Adults

            Introduction The Rapid Assessment of Physical Activity (RAPA) was developed to provide an easily administered and interpreted means of assessing levels of physical activity among adults older than 50 years. Methods A systematic review of the literature, a survey of geriatricians, focus groups, and cognitive debriefings with older adults were conducted, and an expert panel was convened. From these procedures, a nine-item questionnaire assessing strength, flexibility, and level and intensity of physical activity was developed. Among a cohort of 115 older adults (mean age, 73.3 years; age range, 51–92 years), half of whom were regular exercisers (55%), the screening performance of three short self-report physical activity questionnaires — the RAPA, the Behavioral Risk Factor Surveillance System (BRFSS) physical activity questions, and the Patient-centered Assessment and Counseling for Exercise (PACE) — was compared with the Community Healthy Activities Model Program for Seniors (CHAMPS) as the criterion. Results Compared with the BRFSS and the PACE, the RAPA was more positively correlated with the CHAMPS moderate caloric expenditure (r = 0.54 for RAPA, r = 0.40 for BRFSS, and r = 0.44 for PACE) and showed as good or better sensitivity (81%), positive predictive value (77%), and negative predictive value (75%) as the other tools. Specificity, sensitivity, and positive predictive value of the questions on flexibility and strength training were in the 80% range, except for specificity of flexibility questions (62%). Mean caloric expenditure per week calculated from the CHAMPS was compared between those who did and those who did not meet minimum recommendations for moderate or vigorous physical activity based on these self-report questionnaires. The RAPA outperformed the PACE and the BRFSS. Conclusion The RAPA is an easy-to-use, valid measure of physical activity for use in clinical practice with older adults.
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              The impact of complications on costs of major surgical procedures: a cost analysis of 1200 patients.

              To assess the impact of postoperative complications on full in-hospital costs per case. Rising expenses for complex medical procedures combined with constrained resources represent a major challenge. The severity of postoperative complications reflects surgical outcomes. The magnitude of the cost created by negative outcomes is unclear. Morbidity of 1200 consecutive patients undergoing major surgery from 2005 to 2008 in a tertiary, high-volume center was assessed by a validated, complication score system. Full in-hospital costs were collected for each patient. Statistical analysis was performed using a multivariate linear regression model adjusted for potential confounders. This study population included 393 complex liver/bile duct surgeries, 110 major pancreas operations, 389 colon resections, and 308 Roux-en-Y gastric bypasses. The overall 30-day mortality rate was 1.8%, whereas morbidity was 53.8%. Patients with an uneventful course had mean costs per case of US$ 27,946 (SD US$ 15,106). Costs increased dramatically with the severity of postoperative complications and reached the mean costs of US$ 159,345 (SD US$ 151,191) for grade IV complications. This increase in costs, up to 5 times the cost of a similar operation without complications, was observed for all types of investigated procedures, although the magnitude of the increase varied, with the highest costs in patients undergoing pancreas surgery. This study demonstrates the dramatic impact of postoperative complications on full in-hospital costs per case and that complications are the strongest indicator of costs. Furthermore, the study highlights a relevant savings capacity for major surgical procedures, and supports all efforts to lower negative events in the postoperative course.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                18 January 2019
                January 2019
                18 January 2019
                : 2
                : 1
                : e187053
                Affiliations
                [1 ]Section of Plastic Surgery, Department of Surgery, University of Michigan Medical School, Ann Arbor
                [2 ]Center for Statistical Consulting and Research, University of Michigan, Ann Arbor
                Author notes
                Article Information
                Accepted for Publication: November 22, 2018.
                Published: January 18, 2019. doi:10.1001/jamanetworkopen.2018.7053
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2019 Chung KC et al. JAMA Network Open.
                Corresponding Author: Kevin C. Chung, MD, MS, Section of Plastic Surgery, Department of Surgery, University of Michigan Medical School, 2130 Taubman Center, SPC 5340, 1500 E Medical Center Dr, Ann Arbor, MI, 48109-5340 ( kecchung@ 123456umich.edu ).
                Author Contributions: Drs Chung and Kim had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Chung, Shauver, Kim.
                Acquisition, analysis, or interpretation of data: All authors.
                Drafting of the manuscript: All authors.
                Critical revision of the manuscript for important intellectual content: All authors.
                Obtained funding: Chung.
                Administrative, technical, or material support: Chung, Malay, Shauver.
                Supervision: Chung.
                Conflict of Interest Disclosures: Dr Chung reported receiving grants from the National Institutes of Health and the National Institute of Arthritis and Musculoskeletal and Skin Diseases during the conduct of the study. No other disclosures were reported.
                Funding/Support: Research reported in this article was supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases; grant R01 AR062066 from the National Institute on Aging of the National Institutes of Health; and grant 2K24 AR053120-06 Midcareer Investigator Award in Patient-Oriented Research to Dr Chung.
                Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Group Members: The WRIST Group members include the following: Michigan Medicine (coordinating center): Kevin C. Chung, MD, MS (principal investigator); H. Myra Kim, ScD (study biostatistician); Steven C. Haase, MD; Jeffrey N. Lawton, MD; John R. Lien, MD; Adeyiza O. Momoh, MD; Kagan Ozer, MD; Erika D. Sears, MD, MS; Jennifer F. Waljee, MD, MPH; Matthew S. Brown, MD; Hoyune E. Cho, MD; Brett F. Michelotti, MD; Sunitha Malay, MPH (study coordinator); Melissa J. Shauver, MPH (study coordinator). Beth Israel Deaconess Medical Center: Tamara D. Rozental, MD (coinvestigator); Paul T. Appleton, MD; Edward K. Rodriguez, MD, PhD; Laura N. Deschamps, DO; Lindsay Mattfolk, BA; Katiri Wagner. Brigham and Women’s Hospital: Philip Blazar, MD (coinvestigator); Brandon E. Earp, MD; W. Emerson Floyd; Dexter L. Louie, BS. Duke Health: Fraser J. Leversedge, MD (coinvestigator); Marc J. Richard, MD; David, S. Ruch, MD; Suzanne Finley, CRC; Cameron Howe, CRC; Maria Manson; Janna Whitfield, BS. Fraser Health Authority: Bertrand H. Perey, MD (coinvestigator); Kelly Apostle, MD, FRCSC; Dory Boyer, MD, FRCSC; Farhad Moola, MD, FRCSC; Trevor Stone, MD, FRCSC; Darius Viskontas, MD, FRCSC; Mauri Zomar, CCRP; Karyn Moon; Raely Moon. HealthPartners Institute for Education and Research: Loree K. Kalliainen, MD, MA (coinvestigator, now at University of North Carolina Health Care); Christina M. Ward, MD (coinvestigator); James W. Fletcher, MD; Cherrie A. Heinrich, MD; Katharine S. Pico, MD; Ashish Y. Mahajan, MD; Brian W. Hill, MD; Sandy Vang, BA. Johns Hopkins Medicine: Dawn M. Laporte, MD (coinvestigator); Erik A. Hasenboehler, MD; Scott D. Lifchez, MD; Greg M. Osgood, MD; Babar Shafiq, MD, MS; Jaimie T. Shores, MD; Vaishali Laljani. Kettering Health Network: H. Brent Bamberger, DO (coinvestigator); Timothy W. Harman, DO; David W. Martineau, MD; Carla Robinson, PA-C, MPAS; Brandi Palmer, MS, PC, CCRP. London Health Sciences Centre: Ruby Grewal, MD, MS (coinvestigator); Ken A. Faber, MD; Joy C. MacDermid, PhD (study epidemiologist); Kate Kelly, MSc, MPH; Katrina Munro; Joshua I. Vincent, PT, PhD. Massachusetts General Hospital: David Ring, MD, PhD (coinvestigator, now at University of Texas Health Austin); Jesse B. Jupiter, MD, MA; Abigail Finger, BA; Jillian S. Gruber, MD; Rajesh K. Reddy; Taylor M. Pong; Emily R. Thornton, BSc. Mayo Clinic: David G. Dennison, MD (coinvestigator); Sanjeev Kakar, MD; Marco Rizzo, MD; Alexander Y. Shin, MD; Tyson L. Scrabeck, CCRP. The MetroHealth System: Kyle Chepla, MD (coinvestigator); Kevin Malone, MD; Harry A. Hoyen, MD; Blaine Todd Bafus, MD; Roderick B. Jordan, MD; Bram Kaufman, MD; Ali Totonchil, MD; Dana R. Hromyak, BS, RRT; Lisa Humbert, RN. National University of Singapore: Sandeep Sebastin, MCh (coinvestigator), Sally Tay. Northwell Health: Kate W. Nellans, MD, MPH (coinvestigator); Sara L. Merwin, MPH. Norton Healthcare: Ethan W. Blackburn, MD (coinvestigator); Sandra J. Hanlin, APRN, NP-C; Barbara Patterson, BSN, CCRC. OrthoCarolina Research Institute: R. Glenn Gaston, MD (coinvestigator); R. Christopher Cadderdon, MD; Erika Gordon Gantt, MD; John S. Gaul, MD; Daniel R. Lewis, MD; Bryan J. Loeffler, MD; Lois K. Osier, MD; Paul C. Perlik, MD; W. Alan Ward, MD; Benjamin Connell, BA, CCRC; Pricilla Haug, BA, CCRC; Caleb Michalek, BS, CCRC. Pan Am Clinic/University of Manitoba: Tod A. Clark, MD, MSc, FRCSC (coinvestigator); Sheila McRae, MSc, PhD. University of Connecticut Health: Jennifer Moriatis Wolf, MD (coinvestigator, now at University of Chicago Medicine); Craig M. Rodner, MD; Katy Coyle, RN. University of Oklahoma Medicine: Thomas P. Lehman, MD, PT (coinvestigator); Yuri C. Lansinger, MD; Gavin D. O’Mahony, MD; Kathy Carl, BA, CCRP; Janet Wells. University of Pennsylvania Health System: David J. Bozentka, MD (coinvestigator); L. Scott Levin, MD; David P. Steinberg, MD; Annamarie D. Horan, PhD; Denise Knox, BS; Kara Napolitano, BS. University of Pittsburgh Medical Center: John Fowler, MD (coinvestigator); Robert Goitz, MD; Cathy A. Naccarelli; Joelle Tighe. University of Rochester: Warren C. Hammert, MD, DDS (coinvestigator); Allison W. McIntyre, MPH; Krista L. Noble; Kaili Waldrick. University of Washington Medicine: Jeffery B. Friedrich, MD (coinvestigator); David Bowman; Angela Wilson. Wake Forest Baptist Health: Zhongyu Li, MD, PhD (coinvestigator); L. Andrew Koman, MD; Benjamin R. Graves, MD; Beth P. Smith, PhD; Debra Bullard.
                Disclaimer: The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
                Article
                zoi180295
                10.1001/jamanetworkopen.2018.7053
                6484535
                30657531
                df0af9db-d9a3-48de-8108-24879d896d19
                Copyright 2019 Chung KC et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 23 August 2018
                : 19 November 2018
                : 22 November 2018
                Categories
                Research
                Original Investigation
                Online Only
                Orthopedics

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