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      Association of Frailty and Postoperative Complications With Unplanned Readmissions After Elective Outpatient Surgery

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          Key Points

          Question

          Is frailty, as measured by the Risk Analysis Index, associated with risk for unplanned readmission after elective outpatient surgery?

          Findings

          In this cohort study of 417 840 patients in the National Surgical Quality Improvement Program, frailty was associated with an increased risk for unplanned readmissions after elective outpatient surgery. Mediation analysis showed that the association of frailty with readmission was partially mediated by occurrence of complications.

          Meaning

          Surgical patients may benefit from screening for frailty to decrease complications and unplanned readmissions after surgery.

          Abstract

          Importance

          Ambulatory surgery in geriatric populations is increasingly prevalent. Prior studies have demonstrated the association between frailty and readmissions in the inpatient setting. However, few data exist regarding the association between frailty and readmissions after outpatient procedures.

          Objective

          To examine the association between frailty and 30-day unplanned readmissions after elective outpatient surgical procedures as well as the potential mediation of surgical complications.

          Design, Setting, and Participants

          In this retrospective cohort study of elective outpatient procedures from 2012 and 2013 in the National Surgical Quality Improvement Program (NSQIP) database, 417 840 patients who underwent elective outpatient procedures were stratified into cohorts of individuals with a length of stay (LOS) of 0 days (LOS = 0) and those with a LOS of 1 or more days (LOS ≥ 1). Statistical analysis was performed from June 1, 2018, to March 31, 2019.

          Exposure

          Frailty, as measured by the Risk Analysis Index.

          Main Outcomes and Measures

          The main outcome was 30-day unplanned readmission.

          Results

          Of the 417 840 patients in this study, 59.2% were women and unplanned readmission occurred in 2.3% of the cohort overall (LOS = 0, 2.0%; LOS ≥ 1, 3.4%). Frail patients (mean [SD] age, 64.9 [15.5] years) were more likely than nonfrail patients (mean [SD] age, 35.0 [15.8] years) to have an unplanned readmission in both LOS cohorts (LOS = 0, 8.3% vs 1.9%; LOS ≥ 1, 8.5% vs 3.2%; P < .001). Frail patients were also more likely than nonfrail patients to experience complications in both cohorts (LOS = 0, 6.9% vs 2.5%; LOS ≥ 1, 9.8% vs 4.6%; P < .001). In multivariate analysis, frailty doubled the risk of unplanned readmission (LOS = 0: adjusted relative risk [RR], 2.1; 95% CI, 2.0-2.3; LOS ≥ 1: adjusted RR, 1.8; 95% CI, 1.6-2.1). Complications occurred in 3.1% of the entire cohort, and frailty was associated with increased risk of complications (unadjusted RR, 2.6; 95% CI, 2.4-2.8). Mediation analysis confirmed that complications are a significant mediator in the association between frailty and readmissions; however, it also indicated that the association of frailty with readmission was only partially mediated by complications (LOS = 0, 22.8%; LOS ≥ 1, 29.3%).

          Conclusions and Relevance

          These findings suggest that frailty is a significant risk factor for unplanned readmission after elective outpatient surgery both independently and when partially mediated through increased complications. Screening for frailty might inform the development of interventions to decrease unplanned readmissions, including those for outpatient procedures.

          Abstract

          This cohort study uses National Surgical Quality Improvement Program (NSQIP) data to examine the association between frailty and 30-day unplanned readmissions after elective outpatient surgical procedures.

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          Most cited references38

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          Mediation Analysis: A Practitioner's Guide

          This article provides an overview of recent developments in mediation analysis, that is, analyses used to assess the relative magnitude of different pathways and mechanisms by which an exposure may affect an outcome. Traditional approaches to mediation in the biomedical and social sciences are described. Attention is given to the confounding assumptions required for a causal interpretation of direct and indirect effect estimates. Methods from the causal inference literature to conduct mediation in the presence of exposure-mediator interactions, binary outcomes, binary mediators, and case-control study designs are presented. Sensitivity analysis techniques for unmeasured confounding and measurement error are introduced. Discussion is given to extensions to time-to-event outcomes and multiple mediators. Further flexible modeling strategies arising from the precise counterfactual definitions of direct and indirect effects are also described. The focus throughout is on methodology that is easily implementable in practice across a broad range of potential applications.
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            Frailty: toward a clinical definition.

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              Reducing hospital readmission rates: current strategies and future directions.

              New financial penalties for institutions with high readmission rates have intensified efforts to reduce rehospitalization. Several interventions that involve multiple components (e.g., patient needs assessment, medication reconciliation, patient education, arranging timely outpatient appointments, and providing telephone follow-up) have successfully reduced readmission rates for patients discharged to home. The effect of interventions on readmission rates is related to the number of components implemented; single-component interventions are unlikely to reduce readmissions significantly. For patients discharged to postacute care facilities, multicomponent interventions have reduced readmissions through enhanced communication, medication safety, advanced care planning, and enhanced training to manage medical conditions that commonly precipitate readmission. To help hospitals direct resources and services to patients with greater likelihood of readmission, risk-stratification methods are available. Future work should better define the roles of home-based services, information technology, mental health care, caregiver support, community partnerships, and new transitional care personnel.
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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
                24 May 2019
                May 2019
                24 May 2019
                : 2
                : 5
                : e194330
                Affiliations
                [1 ]Stanford–Surgery Policy Improvement Research and Education Center, Department of Surgery, Stanford University School of Medicine, Stanford, California
                [2 ]Surgical Service, Veterans Affairs Palo Alto Health System, Palo Alto, California
                [3 ]Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
                [4 ]Center for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
                [5 ]Wolffe Center at UPMC, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
                [6 ]Department of Surgery, University of Nebraska College of Medicine, Omaha
                Author notes
                Article Information
                Accepted for Publication: April 3, 2019.
                Published: May 24, 2019. doi:10.1001/jamanetworkopen.2019.4330
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2019 Rothenberg KA et al. JAMA Network Open.
                Corresponding Author: Shipra Arya, MD, SM, Stanford–Surgery Policy Improvement Research and Education Center, Department of Surgery, Stanford University School of Medicine, 300 Pasteur Dr, Alway M121-P, Mail Code 5639, Stanford, CA 94305 ( sarya1@ 123456stanford.edu ).
                Author Contributions: Dr Arya had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Rothenberg, Stern, Morris, Hall, Johanning, Hawn, Arya.
                Acquisition, analysis, or interpretation of data: Rothenberg, Stern, George, Trickey, Morris, Johanning, Hawn, Arya.
                Drafting of the manuscript: Rothenberg, Stern, George, Hall, Arya.
                Critical revision of the manuscript for important intellectual content: All authors.
                Statistical analysis: Rothenberg, Trickey.
                Obtained funding: Hawn, Arya.
                Administrative, technical, or material support: Rothenberg, George, Morris, Johanning, Arya.
                Supervision: Stern, Hall, Hawn, Arya.
                Conflict of Interest Disclosures: Dr Johanning reported holding a patent to FutureASSURE LLC, which holds Intellectual Property related to frailty assessment pending, issued, and licensed. Dr Arya reported receiving grants from the National Institute on Aging/National Institutes of Health during the conduct of the study. No other disclosures were reported.
                Funding/Support: This research was supported by grant 5R03AG050930 from the National Institute on Aging/National Institutes of Health (Dr Arya).
                Role of the Funder/Sponsor: The funding source 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.
                Disclaimer: Dr Morris, a JAMA Network Open associate editor, was not involved in the editorial review of or the decision to publish this article.
                Article
                zoi190190
                10.1001/jamanetworkopen.2019.4330
                6632151
                31125103
                7056e6c0-df5e-41f5-8739-0fcb43f0c75f
                Copyright 2019 Rothenberg KA et al. JAMA Network Open.

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

                History
                : 8 February 2019
                : 1 April 2019
                : 3 April 2019
                Categories
                Research
                Original Investigation
                Online Only
                Geriatrics

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