Publications

PURPOSE

The appropriate management of infected obstructing ureteral calculi is prompt genitourinary decompression. Urine cultures are the gold standard for confirming infection but often take 24-48 h to result. Although white blood cell (WBC) count is an important diagnostic laboratory test, it is a nonspecific inflammatory marker. Similarly, urinalysis (UA) can be misleading in the setting of a contaminated sample, bladder colonization, or in cases of a completely obstructed the upper urinary tract. Procalcitonin (PCT) has shown promise in predicting the presence and degree of bacterial infections. In this proof-of-concept study, we explore whether PCT is effective at predicting concomitant infections in the setting of obstructing ureteral stones.

MATERIALS AND METHODS

This is a prospective, single-institution observational pilot study examining adult patients who presented to the emergency room with acute obstructing ureterolithiasis. In total, 22 patients were enrolled. At the time of presentation, data obtained were vital signs, WBC count, PCT, UA, urine, and blood cultures. Fisher-exact two-tailed t-tests and receiver operating characteristic statistics with area under the curve (AUC) calculations were used to determine the correlation between urine culture results and PCT, WBC count, nitrite-positive UA, heart rate, and fever.

RESULTS

In total, 5/22 patients had bacteria-positive urine cultures. PCT (P = 0.020) and nitrite-positive UA (0.024) were the only statistically significant predictors of urine culture results. In comparing the AUC, PCT (0.812) was strongly correlated with eventual urine culture results.

CONCLUSIONS

This proof-of-concept pilot study gives encouraging results, in that PCT was a good predictor of positive cultures (P = 0.02, AUC 0.812). Given, the small sample size, one cannot directly compare PCT to other markers of infection. However, PCT shows promise in this arena and warrants future investigation.

Pre-exposure prophylaxis (PrEP) is a viable HIV prevention strategy but risk compensation could undermine potential benefits. There are limited data that examine this phenomenon outside of clinical trials. We conducted a qualitative analysis of counseling notes from the San Francisco site of the US PrEP demonstration project to assess how men who have sex with men used PrEP as a prevention strategy and its impact on their sexual practices. Four major themes emerged from our analysis of 130 distinct notes associated with 26 participants. Prevention strategy decision-making was dynamic, often influenced by the context and perceived risk of a sexual encounter. Counselors noted that participants used PrEP in conjunction with other health promotion strategies like condoms, asking about HIV status of their sex partners, and seroadaptation. With few exceptions, existing risk reduction strategies were not abandoned upon initiation of PrEP. Risk-taking behavior was 'seasonal' and fluctuations were influenced by various personal, psychosocial, and health-related factors. PrEP also helped relieve anxiety regarding sex and HIV, particularly among serodiscordant partners. Understanding sexual decision-making and how PrEP is incorporated into existing prevention strategies can help inform future PrEP implementation efforts.

BACKGROUND

We examined the effects of short bouts of structured physical activity (SBS-PA) implemented within the classroom setting as part of designated gross-motor playtime on preschoolers PA.

METHODS

Preschools were randomized to SBS-PA (centers, N = 5; participants, N = 141) or unstructured free playtime (UPA) (centers, N = 5; participants, N = 150). SBS-PA consisted of structured PA implemented in the classroom during the first 10 minutes of gross-motor playtime followed by 20 minutes of free playtime. UPA consisted of 30 minutes of unstructured free playtime. Teachers implemented both conditions for 5 days/week for 6 months. PA was assessed with accelerometers (preschool-day) and direct observation (30-minute sessions). Generalized linear mixed models were used to examine the impact of the intervention.

RESULTS

Regarding the 30-minute sessions, significant group main effects were observed for intervals spent at light (p < .001) and moderate-to-vigorous PA (MVPA, p < .001). Regarding the preschool-day PA, significant group by visit interaction was observed for percent time spent in total preschool-day MVPA (F (2, 254) = 3.54, p = .03). Percent of time spent in MVPA significantly decreased in both groups at 3 months and at 6 months.

CONCLUSION

SBS-PA can be implemented in classroom settings; however, further research is needed to examine its impact on preschoolers PA levels.

BACKGROUND

Sleep disruption in critically ill adults can result in acute decrements in cognitive function, including delirium, but it is underdiagnosed in the setting of the intensive care unit (ICU). Although sleep stages can be assessed by polysomnography (PSG), acquisition and interpretation of PSG is costly, is labor intensive, is difficult to do over an extended period of time with critically ill patients (multiple days of continuous recording), and may interfere with patient care. In this pilot study, we investigated the feasibility and utility of monitoring sleep in the ICU setting using a portable electroencephalography (EEG) monitor, the SedLine brain monitor.

METHODS

We first performed a baseline comparison study of the SedLine brain monitor by comparing its recordings to PSG recorded in a sleep laboratory (n = 3). In a separate patient cohort, we enrolled patients in the ICU who were monitored continuously with the SedLine monitor for sleep disruption (n = 23). In all enrolled patients, we continuously monitored their EEG. The raw EEG was retrieved and sleep stages and arousals were analyzed by a board-certified technologist. Delirium was measured by a trained research nurse using the Confusion Assessment Method developed for the ICU.

RESULTS

For all enrolled patients, we continuously monitored their EEGs and were able to retrieve the raw EEGs for analysis of sleep stages. Overall, the SedLine brain monitor was able to differentiate sleep stages, as well as capture arousals and transitions between sleep stages compared with the PSG performed in the sleep laboratory. The percentage agreement was 67% for the wake stage, 77% for the non-rapid eye movement (REM) stage (N1 = 29%, N2 = 88%, and N3 = 6%), and 89% for the REM stage. The overall agreement was measured with the use of weighted kappa, which was 0.61, 95% confidence interval, 0.58 to 0.64. In the ICU study, the mean recording time for the 23 enrolled patients was 19.10 hours. There were several signs indicative of poor-quality sleep, where sleep was distributed throughout the day, with reduced time spent in REM (1.38% ± 2.74% of total sleep time), and stage N3 (2.17% ± 5.53% of total sleep time) coupled with a high arousal index (34.63 ± 19.04 arousals per hour). The occurrence of ICU delirium was not significantly different between patients with and without sleep disruption.

CONCLUSIONS

Our results suggest the utility of a portable EEG monitor to measure different sleep stages, transitions, and arousals; however, the accuracy in measuring different sleep stages by the SedLine monitor varies compared with PSG. Our results also support previous findings that sleep is fragmented in critically ill patients. Further research is necessary to develop portable EEG monitors that have higher agreement with PSG.