Publications
Department of Medicine faculty members published more than 3,600 peer-reviewed articles in 2024.
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RATIONALE
Predicting which patients are at highest risk for readmission after hospitalization for pneumonia could enable hospitals to proactively reallocate scarce resources to reduce 30-day readmissions.
OBJECTIVES
To synthesize the available literature on readmission risk prediction models for adults who are hospitalized because of pneumonia and describe their performance.
METHODS
We systematically searched Ovid MEDLINE, Embase, The Cochrane Library, and Cumulative Index to Nursing and Allied Health Literature databases from inception through July 2015. We included studies of adults discharged with pneumonia that developed or validated a model that predicted hospital readmission. Two independent reviewers abstracted data and assessed the risk of bias.
MEASUREMENTS AND MAIN RESULTS
Of 992 citations reviewed, 7 studies met inclusion criteria, which included 11 unique risk prediction models. All-cause 30-day readmission rates ranged from 11.8 to 20.8% (median, 17.3%). Model discrimination (C statistic) ranged from 0.59 to 0.77 (median, 0.63) with the highest-quality, best-validated model, the Centers for Medicare and Medicaid Services Pneumonia Administrative Model performing modestly (C Statistic of 0.63 in 4 separate multicenter cohorts). The best performing model (C statistic of 0.77) was a single-site study that lacked internal validation. The models had adequate calibration, with patients predicted as high risk for readmission having a higher average observed readmission rate than those predicted to be low risk. None of the studies included pneumonia illness severity scores, and only one included measures of in-hospital clinical trajectory and stability on discharge, robust predictors of readmission.
CONCLUSIONS
We found a limited number of validated pneumonia-specific readmission models, and their predictive ability was modest. To improve predictive accuracy, future models should include measures of pneumonia illness severity, hospital complications, and stability on discharge.
View on PubMed2016
Anti-synthetase syndrome is an autoimmune condition, characterized by antibodies directed against an aminoacycl transfer RNA synthetase along with clinical features that can include interstitial lung disease, myositis, Raynaud's phenomenon, and arthritis. There is a higher prevalence and increased severity of interstitial lung disease in patients with anti-synthetase syndrome, as compared to dermatomyositis and polymyositis, inflammatory myopathies with which it may overlap phenotypically. Diagnosis is made by a multidisciplinary approach, synthesizing rheumatology and pulmonary evaluations, along with serologic, radiographic, and occasionally muscle and/or lung biopsy results. Patients with anti-synthetase syndrome often require multi-modality immunosuppressive therapy in order to control the muscle and/or pulmonary manifestations of their disease. The long-term care of these patients mandates careful attention to the adverse effects and complications of chronic immunosuppressive therapy, as well as disease-related sequelae that can include progressive interstitial lung disease necessitating lung transplantation, pulmonary hypertension, malignancy and decreased survival. It is hoped that greater awareness of the clinical features of this syndrome will allow for earlier diagnosis and appropriate treatment to improve outcomes in patients with anti-synthetase syndrome.
View on PubMed2016
HIV self tests (HIVST) have the potential to increase testing among young adults. However, little is known about high-risk young adults' perception of the HIVST as a risk reduction tool and how they would use the HIVST in their everyday lives. Our study sought to examine these factors. Twenty-one ethnically diverse participants (ages 18-24) used the HIVST at our study site, completed surveys, and underwent an in-depth interview. Descriptive statistics were used to analyze the survey responses, and interview data were coded using constructs from the information-motivation-behavioral skills model. Information deficits included: how to use the HIVST and the "window period" for sero-conversion. Motivations supporting HIVST use included: not needing to visit the clinic, fast results, easy access, and use in non-monogamous relationships. Behavioral skills discussed included: coping with a positive test, handling partner violence after a positive test, and accessing HIV services. These findings can inform the use of the HIVST for improving HIV testing rates and reducing HIV risk behavior.
View on PubMed2016