Acinetobacter junii causes life-threatening sepsis in preterm infants

Acinetobacter junii caused sepsis in six preterm infants in our neonatal unit within 48 h. Each infant with clinical signs of systemic infection and activation of the acute phase response had two positive blood cultures with Acinetobacter junii. The sudden onset, the short duration of the outbreak and the fact that none of the infants were colonized by A. junii suggested a common source of A. junii administered directly into the blood. The only feature shared by all six affected newborns was an intravenous fat emulsion (Intralipid 10%), which was shown to be an excellent growth medium for A. junii. Sepsis did not occur in four infants with 20% fat emulsion or amino acids only. Vaminolact^® did not support growth of the outbreak strain. The immediate source of the outbreak could not be identified: samples of the actual feeds given were not available for investigation, but A. junii was not isolated from parenteral solutions with identical batch numbers used in the septic infants. We conclude that Acinetobacter junii can cause a life-threatening infection in preterm neonates. Contaminated intravenous fat emulsion is implicated as a possible source of the infection. As a part of rigid infection control, intravenous feedings should be prepared under aseptic conditions.     

Computerized Weight Loss Intervention Optimizes Staff Time: The Clinical and Cost Results of a Controlled Clinical Trial Conducted in a Managed Care Setting

OBJECTIVE: To evaluate the costs and effects of incremental components of a weight-loss program. DESIGN: A 3-arm, 12-month randomized controlled clinical trial to evaluate 3 incremental levels of intervention intensity. SUBJECTS/SETTING: The study included 588 individuals (BMI > 25 kg/m2) in a freestanding health maintenance organizalion and achieved an 81% completion rate. INTERVENTION: Using a cognitive behavioral approach for tailoring lifestyle modification goals, the incremental levels of intervention included a) a workbook alone, b) the addition of computerized tailoring using onsite computer kiosks with touch screen monitors, and c) the addition of both computers and staff consultation. MAIN OUTCOME MEASURES: Endpoints included weight parameters, lipid profile, plasma glucose, blood pressure, intervention costs, dietary intake, and physical activity. STATISTICAL ANALYSIS PERFORMED: Study endpoints were analyzed using analysis of variance for normally distributed variables and analysis of covariance to control for any baseline differences. Regression and correlation analysis assessed the relationship between weight loss and other variables. RESULTS: For the increasing levels of intervention intensity, the mean 12-month weight losses were 2.2, 4.7, and 7.4 pounds, with the respective cost per participant being $12.33, $41.99, and $133.74. The decreases in mean BMIs for these respective intervelation levels were 0.4, 0.9 and 1.2. All groups reported a decrease in energy and fat intake and an increase in blocks walked (P<.01). Intervention variables that correlated with weight loss included more computer log-ons, achieving computer-selected goals, more self-monitoring, increased walking, and decreased energy and fat intake, as well as higher attendance in staff consultation group sessions for that treatment condition. Weight loss correlated with decreases in fasting glucose and blood pressure. APPLICATIONS/CONCLUSIONS: In a weight-loss program, computers can facilitate selecting behavioral change goals. More frequent usage resulted in greater weight loss. Staff counseling to augment the computer intervention achieved the most weight loss.     

Variations in Financial Performance Among Peer Groups of Critical Access Hospitals

CONTEXT: Among the large number of hospitals with critical access hospital (CAH) designation, there is substantial variation in facility revenue as well as the number and types of services provided. If these variations have material effects on financial indicators, then performance comparisons among all CAHs are problematic. PURPOSE: To investigate whether indicators of financial performance and condition systematically vary among peer groups of CAHs. METHODS: Suggestions from CAH administrators, a literature review, expert panel advice, and statistical analysis were used to create peer groups based on whether a CAH: (1) had less than $5 million, $5-10 million, or over $10 million in net patient revenue; (2) was owned by a government entity; (3) provided long-term care; and (4) operated a provider-based Rural Health Clinic. FINDINGS: Significant differences in financial performance and condition exist among CAH peer groups. CONCLUSIONS: CAHs should ensure that they use appropriate peer comparators when assessing their financial performance and condition. If quality, outcome, safety and access are affected by financial performance and condition, it may also be important for research in these areas to control for peer group differences among CAHs.