Evaluation of the Safety of Ketorolac in Postsurgical Infants Less Than Six Months of Age.

Objective: Ketorolac-related adverse events are not yet elucidated in neonates and infants given paucity of data. The objective of this research is to determine the incidence of major bleed in postsurgical neonates and infants treated with ketorolac, and to describe characteristics of ketorolac therapy and its effect on renal function.

Methods: This retrospective review assessed postsurgical patients younger than 6 months of age, without renal and/or coagulation dysfunction, who received ketorolac for postoperative pain during the study period.

A Statewide Program to Improve Management of Suspected Urinary Tract Infection in Long-Term Care.

Background/objectives: Suspected urinary tract infection (UTI) is the most common indication for antibiotic use in long-term care (LTC). Due to the high prevalence of asymptomatic bacteriuria, for which antibiotics are not warranted, these antibiotics are frequently unnecessary. We implemented a collaborative quality improvement program to improve the management of suspected UTI in LTC residents by increasing awareness of current guidelines, with a focus on decreasing treatment in the absence of symptoms.

Notes from the field: rapidly growing nontuberculous Mycobacterium wound infections among medical tourists undergoing cosmetic surgeries in the Dominican Republic--multiple states, March 2013-February 2014.

In August 2013, the Maryland Department of Health and Mental Hygiene (MDHMH) was notified of two persons with rapidly growing nontuberculous mycobacterial (RG-NTM) surgical-site infections. Both patients had undergone surgical procedures as medical tourists at the same private surgical clinic (clinic A) in the Dominican Republic the previous month. Within 7 days of returning to the United States, both sought care for symptoms that included surgical wound abscesses, clear fluid drainage, pain, and fever.

Assessment of the burden of mandatory reporting of health care-associated infection using the National Healthcare Safety Network in Massachusetts.

An online survey was sent to 73 facilities in December 2010 to assess the time commitment, staff involvement, and methods used in reporting health care-associated infection (HAI) events through the National Healthcare Safety Network in Massachusetts. Of the 65 respondents, 45% reported electronically importing at least a portion of their data. Facilities that reported using electronic import spent fewer hours per week on data collection and entry than those performing manual data entry.

logD7.4 modeling using Bayesian Regularized Neural Networks. Assessment and correction of the errors of prediction.

Bayesian Regularized Neural Networks (BRNNs) employing Automatic Relevance Determination (ARD) are used to construct a predictive model for the distribution coefficient logD7.4 from an in-house data set of 5000 compounds with experimental endpoints. A method for assessing the accuracy of prediction is established based upon a query compound's distance to the training set.