Early childhood is recognized as a critical window of rapid cognitive development. Unfortunately, many risk factors for atypical cognitive development may occur during this period, including genetic syndromes, congenital neuroanatomical malformations, pre- or perinatal injury, and neurological and medical disorders. The impact of these risk factors on cognitive functioning may not always map onto patterns typically observed in adults. Limited literature exists on the presentation of cognitive profiles within clinical populations in the preschool developmental period. The present study aimed to evaluate whether discrete a priori cognitive profiles consistent with common neurobehavioral syndromes emerge and are distinguishable on testing in early childhood in a mixed clinical sample. We also aimed to determine if there was a consistent association between known medical risk factors and resultant cognitive profiles.

Participants included 163 children aged 1-5 years (M=48.5 months, SD=12.8 months) referred for neuropsychological evaluation. The sample was predominantly male (67.5%) and White (72.9%), followed by other/mixed race (11.6%), Black (9.7%), and Latino/Hispanic (5.8%). Cognitive abilities assessed included broad intellectual abilities, verbal abilities, nonverbal abilities, attention, and executive functioning. Continuous test scores were transformed into categorical ranges of performance, with scores classified as “above average,” “average,” “below average,” or “extremely low” to allow for profile classification. Theoretical clinical profiles consistent with common neurobehavioral syndromes were determined a priori by consensus among three authors (JK, AH, LM). Chi square tests of independence were conducted to compare membership across neurobehavioral diagnostic groups, clinical profile groups, and medical groups.

Based on cognitive data, 55.2% of the sample (n=90) was classified as Global Developmental Delay/Intellectual Disability, 19.6% (GDD/ID; n=32) was classified as

Language Disorder, and 18.4% (n=30) was classified as Typical Cognitive Development. 4.3% (n=7) of the sample was classified as Attention-Deficit/Hyperactivity Disorder (ADHD), and 2.5% (n=4) was classified as Nondominant Hemisphere Dysfunction. As hypothesized, cognitive profile group membership was consistent with diagnostic impressions, as actual clinical diagnoses of Language Disorder, ADHD, GDD/ID, or a classification of typical cognitive development were significantly associated with theorized cognitive profile based on test performance alone (x2 (1,20) = 147.29, p < .001). Cognitive profile group membership was also significantly associated with referral source (1,28) = 62.88, p < .001) and the presence of a neurological disorder (1,4) = 14.64, p =.006).

Findings support the presence of specific theorized cognitive profiles in preschoolers in a mixed clinical sample. Specifically, GDD/ID, Language Disorder, and typical cognitive development are discrete and consistently distinguishable cognitive profiles in this age range. Early life neurological risk factors are also significantly related to cognitive profile membership, suggesting that these factors may be useful in predicting cognitive development even in very young children. Future work is needed to examine the consistency of these profiles over time and their predictive value in estimating subsequent development, and the possibility of discriminating unique cognitive profiles for specific medical conditions in preschoolers.

To evaluate (1) the framework of the 12 Steps to Prevent Antimicrobial Resistance Among Hospitalized Adults that is part of the Centers for Disease Control and Prevention (CDC) Campaign to Prevent Antimicrobial Resistance in Healthcare Settings, with regard to steps addressing antimicrobial use; and (2) methods of feedback to clinicians regarding antimicrobial use after postprescription review.

Prospective intervention to identify and modify inappropriate antimicrobial therapy.

A 1,000-bed, tertiary care teaching hospital.

Inpatients in selected medicine and surgery units receiving broad-spectrum antimicrobials for 48-72 hours.

We created a computer-based clinical-event detection system that automatically identified inpatients taking broad-spectrum and “reserve” antimicrobials for 48-72 hours. Although prior approval was required for initial administration of broad-spectrum and reserve antimicrobials, once approval was obtained, therapy with the antimicrobials could be continued indefinitely at the discretion of the treating clinician. Therapy that was ongoing at 48-72 hours was reviewed by an infectious diseases pharmacist or physician, and when indicated feedback was provided to clinicians to modify or discontinue therapy. Feedback was provided via a direct telephone call, a note on the front of the medical record, or text message sent to the clinician's pager. The acceptance rate of feedback was recorded and recommendations were categorized according to the 12 steps recommended by the CDC.

Interventions were recommended for 334 (30%) of 1,104 courses of antimicrobial therapy reviewed. A total of 87% of interventions fit into one of the CDC's 12 steps of prevention: 39% into step 3 (“target the pathogen”), 1% into step 4 (“access experts”), 3% into steps 7 and 8 (“treat infection, not colonization or contamination”), 18% into step 9 (“say ‘no’ to vancomycin”), and 26% into step 10 (“stop treatment when no infection”). The rate of compliance with recommendations to improve antimicrobial use was 72%. No differences in compliance were seen with the different methods of feedback.

Nearly one-third of antimicrobial courses did not follow the CDC's recommended 12 steps for prevention of antimicrobial resistance. Clinicians demonstrated high compliance with following suggestions made after postprescription review, suggesting that it is a useful approach to decreasing and improving antimicrobial use among inpatients.

Comorbid anxiety is common in depressive disorders in both middle and late life, and it affects response to antidepressant treatment.

To examine whether anxiety symptoms predict acute and maintenance (2 years) treatment response in late-life depression.

Data were drawn from a randomised double-blind study of pharmacotherapy and interpersonal psychotherapy for patients age 70 years and over with major depression. Anxiety symptoms were measured using the Brief Symptom Inventory. Survival analysis tested the effect of pre-treatment anxiety on response and recurrence.

Patients with greater pre-treatment anxiety took longer to respond to treatment and had higher rates of recurrence. Actuarial recurrence rates were 29% (pharmacotherapy, lower anxiety), 58% (pharmacotherapy, higher anxiety), 54% (placebo, lower anxiety) and 81% (placebo, higher anxiety).

Improved identification and management of anxiety in late-life depression are needed to achieve response and stabilise recovery.