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      Prevalence of hospital readmissions and related factors in patients with autoimmune diseases

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          Abstract

          Objective

          Autoimmune diseases generate an impact on the morbidity and mortality of patients and are a burden for the health system through hospital admissions and readmissions. The prevalence of readmission of patients with these diseases has not yet been described as a group, but rather as sub-phenotype. The objective of this study is to determine the prevalence of hospital readmissions in a Colombian population with autoimmunity and the factors related to readmission.

          Methods

          All patients with autoimmune diseases who were evaluated by the rheumatology service and hospitalized between August 2018 and December 2019 at the Fundación Hospital Infantil Universitario De San José de Bogotá were described. A bivariate analysis was done, and three multivariate logistic regression models were built with the dependent variable being readmission.

          Results

          Of the total 199 admissions, 131 patients were evaluated and 32% were readmitted. The most frequent sub-phenotype in both groups (readmission and no readmission) was SLE (51% and 59%). The most frequent cause of hospitalization and readmission was disease activity (68.7% and 64.3%). History of hypertension was associated with readmission (adjusted OR: 2.98–95% CI: 1.15–7.72). In a second model adjusted for confounding variables, no factor was associated. In a third model analyzing the history of kidney disease and previous use of immunosuppressants (adjusted for confounding variables), the previous use of immunosuppressants was related to readmission (OR: 2.78–95% CI 1.12–6.89).

          Conclusion

          Up to a third of patients with autoimmunity were readmitted and arterial hypertension was an associated factor. This suggested a greater systemic compromise and accumulated damage in patients who have these two conditions that may favor readmission. A history of immunosuppressant use may play a role in readmission, possibly by increasing the risk of developing infections.

          Highlights

          • Autoimmune Diseases cause admissions and readmissions to the hospital setting, the prevalence of readmission is 32%.

          • Systemic Lupus Erythematosus is the most frequent Sub-Phenotype found in admissions and readmissions.

          • Arterial hypertension and previous use of immunosuppressant drugs may be correlated to readmissions.

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          Most cited references38

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          The REDCap consortium: Building an international community of software platform partners

          The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
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            Risk prediction models for hospital readmission: a systematic review.

            Predicting hospital readmission risk is of great interest to identify which patients would benefit most from care transition interventions, as well as to risk-adjust readmission rates for the purposes of hospital comparison. To summarize validated readmission risk prediction models, describe their performance, and assess suitability for clinical or administrative use. The databases of MEDLINE, CINAHL, and the Cochrane Library were searched from inception through March 2011, the EMBASE database was searched through August 2011, and hand searches were performed of the retrieved reference lists. Dual review was conducted to identify studies published in the English language of prediction models tested with medical patients in both derivation and validation cohorts. Data were extracted on the population, setting, sample size, follow-up interval, readmission rate, model discrimination and calibration, type of data used, and timing of data collection. Of 7843 citations reviewed, 30 studies of 26 unique models met the inclusion criteria. The most common outcome used was 30-day readmission; only 1 model specifically addressed preventable readmissions. Fourteen models that relied on retrospective administrative data could be potentially used to risk-adjust readmission rates for hospital comparison; of these, 9 were tested in large US populations and had poor discriminative ability (c statistic range: 0.55-0.65). Seven models could potentially be used to identify high-risk patients for intervention early during a hospitalization (c statistic range: 0.56-0.72), and 5 could be used at hospital discharge (c statistic range: 0.68-0.83). Six studies compared different models in the same population and 2 of these found that functional and social variables improved model discrimination. Although most models incorporated variables for medical comorbidity and use of prior medical services, few examined variables associated with overall health and function, illness severity, or social determinants of health. Most current readmission risk prediction models that were designed for either comparative or clinical purposes perform poorly. Although in certain settings such models may prove useful, efforts to improve their performance are needed as use becomes more widespread.
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              The epidemiology of autoimmune diseases.

              Autoimmune diseases are among the leading causes of death among young and middle-aged women in the United States. Incidence rates vary among the autoimmune diseases, with estimates ranging from less than one newly-diagnosed case of systemic sclerosis to more than 20 cases of adult-onset rheumatoid arthritis per 100,000 person-years. Prevalence rates range from less than 5 per 100,000 (e.g. chronic active hepatitis, uveitis) to more than 500 per 100,000 (Grave disease, rheumatoid arthritis, thyroiditis). At least 85% of thyroiditis, systemic sclerosis, systemic lupus erythematosus, and Sjögren disease patients are female. Although most diseases can occur at any age, some diseases primarily occur in childhood and adolescence (e.g. type 1 diabetes), in the mid-adult years (e.g. myasthenia gravis, multiple sclerosis), or among older adults (e.g. rheumatoid arthritis, primary systemic vasculitis). Ethnic and geographic differences in incidence of specific autoimmune diseases have been documented, but specific groups may be at higher risk for some diseases and lower risk for other diseases. The incidence of type 1 diabetes increased but the rates of rheumatoid arthritis declined over the past 40 years. Thus although there are commonalities, there are also important demographic differences between diseases. Disease-specific research, as well as studies that focus on potentially related diseases, needs to be conducted.
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                Author and article information

                Contributors
                Journal
                J Transl Autoimmun
                J Transl Autoimmun
                Journal of Translational Autoimmunity
                Elsevier
                2589-9090
                08 September 2021
                2021
                08 September 2021
                : 4
                : 100121
                Affiliations
                [a ]School of Medicine, Fundación Universitaria de Ciencias de la Salud-FUCS, Bogotá, 111221, Colombia
                [b ]Epidemiology Department, Fundación Universitaria de Ciencias de la Salud-FUCS, Bogotá, 111221, Colombia
                [c ]Research Division, Fundación Universitaria de Ciencias de la Salud-FUCS, Bogotá, 111221, Colombia
                Author notes
                []Corresponding author. School of Medicine, Fundación Universitaria de Ciencias de la Salud, Carrera 59 a 134 - 15, Postal Code: 111111, Bogotá, Colombia. Tel: +51 3118834750. tcmorales@ 123456fucsalud.edu.co
                Article
                S2589-9090(21)00041-1 100121
                10.1016/j.jtauto.2021.100121
                8450261
                34585131
                fc57c5a0-3382-42e8-b022-02f67a200125
                © 2021 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 23 August 2021
                : 6 September 2021
                Categories
                Article

                autoimmune disease,autoimmune tautology,hospital readmission,polyautoimmunity,aht, arterial hypertension.,aids, autoimmune diseases.,aps, antiphospholipid syndrome.,ra, rheumatoid arthritis.,dmards, disease-modifying antirheumatic drugs.,icd – 10, international classification of diseases 10th edition.,icu, intensive care unit.,sle, systemic lupus erythematosus.,sjs, sjögren syndrome.,ss, systemic sclerosis

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