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Abstract Background In areas where both tuberculosis (TB) and nontuberculous mycobacteria (NTM) are prevalent, descriptive studies of the clinical features of individual mycobacteria are needed to inform clinical triage. Methods We queried the University of Virginia Clinical Data Repository for all mycobacterial infections from 2001-2009. Results Of 494 mycobacterial infections in 467 patients there were 22 species. Patients with pulmonary Tb were more likely to be reported as immigrants (p < 0.001) and less likely to have a predisposing risk factor for NTM (pre-existing lung disease or host predisposition; p = 0.002). Review of chest CT scans revealed that TB infection was more likely to exhibit cavities and pleural effusion than NTM infection (p < 0.05). Among NTM infections M. kansasii, M. xenopi, and M. fortuitum were more likely than MAC to have cavities. There were at least 83 patients that met criteria for NTM lung disease and these were caused by 9 species. M. abscessus infection was associated with cystic fibrosis and M. xenopi infection was associated with male gender. Conclusions In our center mycobacterial infections were common and of diverse species. Immigrant status, cavities, and effusion were associated with TB vs. NTM.

A retrospective cohort study was performed of the Hospital-to-Home (H2H) program, a rapid clinic follow-up program for patients with recent heart failure (HF) admissions at the University of Virginia Health System. There were 6761 hospitalizations among 4685 patients (age 67.5 ± 14.2 years, 43.9% female), and 759 had H2H follow-up. Thirty day mortality after the initial HF hospitalization was lower in H2H patients (1.84% vs 3.13%; P = .049), and this difference remained significant after adjustment in a multivariable logistic regression model (odds ratio = 0.56 [95% CI = 0.31-099]; P = .046). There also was a 24% reduction in readmission days within the first 30 days after the index admission ( P < .0001), and readmission cost savings were found to be greater than the costs of staffing the H2H clinic. In summary, the H2H program is cost-effective, with significant improvements in survival, readmission days, and readmission costs over 30 days. [ABSTRACT FROM AUTHOR]

As a result of increased attention to medical errors, many institutions are contemplating increased use of information technology and clinical decision support. We conducted a retrospective analysis to estimate the frequency and cost of adverse drug events (ADEs) for inpatients at the University of Virginia. Applying published criteria for the detection of potential adverse events, we used a clinical data warehouse to identify patients and cases with potential ADEs. Again using published criteria, we then estimated the actual number of adverse drug events and preventable adverse drug events, as well as their attributable costs and excess length of stay. Our results showed a higher estimate (10.4-11.5 events per 100 admissions) for ADEs than seen in the ADE Prevention Study, highlighting the importance of considering the generalizability of published ADE studies to other settings. Our analysis demonstrates that retrospective analysis can be an efficient and powerful technique to evaluate rules and criteria used to detect ADEs and to assess their impact. [ABSTRACT FROM PUBLISHER]

Patient safety and the delivery of quality care are major concerns for healthcare in the United States. Special populations (eg, obese patients) need study in order to support patient safety, quantify risks, advance education for healthcare-workers, and establish healthcare policy. Obesity is a complex chronic disease and is considered the second leading cause of preventable death in the United States with approximately 300,000 deaths per year. Obesity is recognized by the Agency for Healthcare Research and Quality (AHRQ) as a comorbid condition. These concerns emphasize the need to focus further research on the obese patient. Through the use of clinical and administrative data, this study examines the incidence of adverse outcomes in the obese surgical population through AHRQ Patient Safety Indicators (PSI) and allows for the engagement PSIs as measures to guide and improve performance. In this study, the surgical population was overwhelmingly positive for obesity. Body mass index (BMI) was also a significant positive predictor for 2 of 3 postoperative outcomes. This finding suggests that as BMI reaches the classification of obesity, the risk of these adverse outcomes increases. It further suggests there exists a threshold BMI that requires anticipation of alterations to systems and processes to revise outcomes., (Copyright© by the American Association of Nurse Anesthetists.)

We calculated a sample of AHRQ Quality and Patient Safety Indicators for UVa hospitalized patients over a 3 year period using diagnoses and procedure codes from two different billing systems. Significant differences in results were observed suggesting that quality indicators calculated from hospital billing sources alone may be understated.