CT Use Reduction In Ostensive Ureteral Stone (CURIOUS).

INTRODUCTION: Computed tomography (CT) is performed in over 90% of patients diagnosed with ureteral stones, but only 10% of patients presenting to the emergency department (ED) with acute flank pain are hospitalized for a clinically important stone or non-stone diagnosis. Hydronephrosis can be accurately detected using point-of-care ultrasound and is a key predictor of ureteral stone and risk of subsequent complications. The absence of hydronephrosis is insufficient to exclude a stone. We created a sensitive clinical decision rule to predict clinically important ureteral stones. We hypothesized that this rule could identify patients at low risk for this outcome. METHODS: We conducted a retrospective cohort study in a random sample of 4000 adults who presented to one of 21 Kaiser Permanente Northern California EDs and underwent a CT for suspected ureteral stone from 1/1/2016 to 12/31/2020. The primary outcome was clinically important stone, defined as stone resulting in hospitalization or urologic procedure within 60 days. We used recursive partition analysis to generate a clinical decision rule predicting the outcome. We estimated the C-statistic (area under the curve), plotted the receiver operating characteristic (ROC) curve for the model, and calculated sensitivity, specificity, and predictive values of the model based on a risk threshold of 2%. RESULTS: Among 4000 patients, 354 (8.9%) had a clinically important stone. Our partition model resulted in four terminal nodes with risks ranging from 0.4% to 21.8%. The area under the ROC curve was 0.81 (95% CI 0.80, 0.83). Using a 2% risk cut point, a clinical decision tree including hydronephrosis, hematuria, and a history of prior stones predicted complicated stones with sensitivity 95.5% (95% CI 92.8%-97.4%), specificity 59.9% (95% CI 58.3%-61.5%), positive predictive value 18.8% (95% CI 18.1%-19.5%), and negative predictive value 99.3% (95% CI 98.8%-99.6%). CONCLUSIONS: Application of this clinical decision rule to imaging decisions would have led to 63% fewer CT scans with a miss rate of 0.4%. A limitation was the application of our decision rule only to patients who underwent CT for suspected ureteral stone. Thus, this rule would not apply to patients who were thought to have ureteral colic but did not receive a CT because ultrasound or history were sufficient for diagnosis. These results could inform future prospective validation studies.

One Laryngospasm, 2 Realities: A Case Report Highlighting the Impact of Data Granularity on Post Hoc Analysis of Perioperative Events.

We present the case of a laryngospasm event in a 21-month-old child in which the changes in pulse oximetry and end-tidal carbon dioxide were recorded by both our Anesthesia Information Management System and middleware medical device integration platform. When this case was analyzed retrospectively, we noted that the 2 systems recorded the event very differently with respect to pulse oximetry. This case report illustrates the impact of data sampling rates on post hoc analysis of perioperative events and highlights the importance of understanding data collection processes when using electronically recorded data.

Transplantation of Neural Progenitor Cells Expressing Glial Cell Line-Derived Neurotrophic Factor into the Motor Cortex as a Strategy to Treat Amyotrophic Lateral Sclerosis.

Early dysfunction of cortical motor neurons may underlie the initiation of amyotrophic lateral sclerosis (ALS). As such, the cortex represents a critical area of ALS research and a promising therapeutic target. In the current study, human cortical-derived neural progenitor cells engineered to secrete glial cell line-derived neurotrophic factor (GDNF) were transplanted into the SOD1G93A ALS rat cortex, where they migrated, matured into astrocytes, and released GDNF. This protected motor neurons, delayed disease pathology and extended survival of the animals. These same cells injected into the cortex of cynomolgus macaques survived and showed robust GDNF expression without adverse effects. Together this data suggests that introducing cortical astrocytes releasing GDNF represents a novel promising approach to treating ALS. Stem Cells 2018;36:1122-1131.

Heart rate in pediatric trauma: rethink your strategy.

BACKGROUND: The optimal heart rate (HR) for children after trauma is based on values derived at rest for a given age. As the stages of shock are based in part on HR, a better understanding of how HR varies after trauma is necessary. Admission HRs of pediatric trauma patients were analyzed to determine which ranges were associated with lowest mortality. MATERIALS AND METHODS: The National Trauma Data Bank was used to evaluate all injured patients ages 1-14 years admitted between 2007 and 2011. Patients were stratified into eight groups based on age. Clinical characteristics and outcomes were recorded, and regression analysis was used to determine mortality odds ratios (ORs) for HR ranges within each age group. RESULTS: A total of 214,254 pediatric trauma patients met inclusion criteria. The average admission HR and systolic blood pressure were 104.7 and 120.4, respectively. Overall mortality was 0.8%. The HR range associated with lowest mortality varied across age groups and, in children ages 7-14, was narrower than accepted resting HR ranges. The lowest risk of mortality for patients ages 5-14 was captured at HR 80-99. CONCLUSIONS: The HR associated with lowest mortality after pediatric trauma frequently differs from resting HR. Our data suggest that a 7y old with an HR of 115 bpm may be in stage III shock, whereas traditional HR ranges suggest that this is a normal rate for this child. Knowing when HR is critically high or low in the pediatric trauma population will better guide treatment.