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      Malnutrition and its association with readmission and death within 7 days and 8–180 days postdischarge in older patients: a prospective observational study

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          Abstract

          Objective

          The relationship between admission nutritional status and clinical outcomes following hospital discharge is not well established. This study investigated whether older patients’ nutritional status at admission predicts unplanned readmission or death in the very early or late periods following hospital discharge.

          Design, setting and participants

          The study prospectively recruited 297 patients ≥60 years old who were presenting to the General Medicine Department of a tertiary care hospital in Australia. Nutritional status was assessed at admission by using the Patient-Generated Subjective Global Assessment (PG-SGA) tool, and patients were classified as either nourished (PG-SGA class A) or malnourished (PG-SGA classes B and C). A multivariate logistic regression model was used to adjust for other covariates known to influence clinical outcomes and to determine whether malnutrition is a predictor for early (0–7 days) or late (8–180 days) readmission or death following discharge.

          Outcome measures

          The impact of nutritional status was measured on a combined endpoint of any readmission or death within 0–7 days and between 8 and 180 days following hospital discharge.

          Results

          Within 7 days following discharge, 29 (10.5%) patients had an unplanned readmission or death whereas an additional 124 (50.0%) patients reached this combined endpoint within 8–180 days postdischarge. Malnutrition was associated with a significantly higher risk of combined endpoint of readmissions or death both within 7 days (OR 4.57, 95% CI 1.69 to 12.37, P<0.001) and within 8–180 days (OR 1.98, 95% CI 1.19 to 3.28, P=0.007) following discharge and this risk remained significant even after adjustment for other covariates.

          Conclusions

          Malnutrition in older patients at the time of hospital admission is a significant predictor of readmission or death both in the very early and in the late periods following hospital discharge. Nutritional state should be included in future risk prediction models.

          Trial registration number

          ACTRN No. 12614000833662; Post-results.

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          Most cited references22

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          Post-hospital syndrome--an acquired, transient condition of generalized risk.

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            Causes and patterns of readmissions in patients with common comorbidities: retrospective cohort study

            Objective To evaluate the primary diagnoses and patterns of 30 day readmissions and potentially avoidable readmissions in medical patients with each of the most common comorbidities. Design Retrospective cohort study. Setting Academic tertiary medical centre in Boston, 2009-10. Participants 10 731 consecutive adult discharges from a medical department. Main outcome measures Primary readmission diagnoses of readmissions within 30 days of discharge and potentially avoidable 30 day readmissions to the index hospital or two other hospitals in its network. Results Among 10 731 discharges, 2398 (22.3%) were followed by a 30 day readmission, of which 858 (8.0%) were identified as potentially avoidable. Overall, infection, neoplasm, heart failure, gastrointestinal disorder, and liver disorder were the most frequent primary diagnoses of potentially avoidable readmissions. Almost all of the top five diagnoses of potentially avoidable readmissions for each comorbidity were possible direct or indirect complications of that comorbidity. In patients with a comorbidity of heart failure, diabetes, ischemic heart disease, atrial fibrillation, or chronic kidney disease, the most common diagnosis of potentially avoidable readmission was acute heart failure. Patients with neoplasm, heart failure, and chronic kidney disease had a higher risk of potentially avoidable readmissions than did those without those comorbidities. Conclusions The five most common primary diagnoses of potentially avoidable readmissions were usually possible complications of an underlying comorbidity. Post-discharge care should focus attention not just on the primary index admission diagnosis but also on the comorbidities patients have.
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              Hospital strategies associated with 30-day readmission rates for patients with heart failure.

              Reducing hospital readmission rates is a national priority; however, evidence about hospital strategies that are associated with lower readmission rates is limited. We sought to identify hospital strategies that were associated with lower readmission rates for patients with heart failure. Using data from a Web-based survey of hospitals participating in national quality initiatives to reduce readmission (n=599; 91% response rate) during 2010-2011, we constructed a multivariable linear regression model, weighted by hospital volume, to determine strategies independently associated with risk-standardized 30-day readmission rates (RSRRs) adjusted for hospital teaching status, geographic location, and number of staffed beds. Strategies that were associated with lower hospital RSRRs included the following: (1) partnering with community physicians or physician groups to reduce readmission (0.33% percentage point lower RSRRs; P=0.017), (2) partnering with local hospitals to reduce readmissions (0.34 percentage point; P=0.020), (3) having nurses responsible for medication reconciliation (0.18 percentage point; P=0.002), (4) arranging follow-up appointments before discharge (0.19 percentage point; P=0.037), (5) having a process in place to send all discharge paper or electronic summaries directly to the patient's primary physician (0.21 percentage point; P=0.004), and (6) assigning staff to follow up on test results that return after the patient is discharged (0.26 percentage point; P=0.049). Although statistically significant, the magnitude of the effects was modest with individual strategies associated with less than half a percentage point reduction in RSRRs; however, hospitals that implemented more strategies had significantly lower RSRRs (reduction of 0.34 percentage point for each additional strategy). Several strategies were associated with lower hospital RSRRs for patients with heart failure.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2017
                12 November 2017
                : 7
                : 11
                : e018443
                Affiliations
                [1 ]departmentDepartment of General Medicine , Flinders Medical Centre , Bedford Park, South Australia, Australia
                [2 ]departmentSchool of Medicine , Flinders University , Adelaide, South Australia, Australia
                [3 ]departmentDepartment of Nutrition and Dietetics , Flinders University , Adelaide, South Australia, Australia
                [4 ]departmentDepartment of Health Economics , Flinders University , Adelaide, South Australia, Australia
                [5 ]departmentFaculty of Health Sciences , Flinders University , Adelaide, South Australia, Australia
                [6 ]departmentDepartment of Clinical Epidemiology , Flinders Medical Centre , Bedford Park, South Australia, Australia
                [7 ]departmentDiscipline of Medicine , The University of Adelaide , Adelaide, South Australia, Australia
                Author notes
                [Correspondence to ] Dr Yogesh Sharma; Yogesh.Sharma@ 123456sa.gov.au
                Author information
                http://orcid.org/0000-0002-7716-2599
                Article
                bmjopen-2017-018443
                10.1136/bmjopen-2017-018443
                5695574
                29133331
                a6a27ebe-a898-4443-9e86-9cd8084ca525
                © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

                This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

                History
                : 30 June 2017
                : 20 September 2017
                : 12 October 2017
                Categories
                Nutrition and Metabolism
                Research
                1506
                1714
                1329
                Custom metadata
                unlocked

                Medicine
                geriatric medicine,quality in health care,general medicine (see internal medicine)

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