Implementing a 4% EDTA Central Catheter Locking Solution as a Quality Improvement Project in a Large Canadian Hospital.

Oncology and critical care patients often require central vascular access devices (CVADs), which can make them prone to central line-associated bloodstream infections (CLABSIs) and thrombotic occlusions. According to the literature, CLABSIs are rampant and increased by 63% during the COVID-19 pandemic, highlighting the need for innovative interventions. Four percent ethylenediaminetetraacetic acid (4% EDTA) is an antimicrobial locking solution that reduces CLABSIs, thrombotic occlusions, and biofilm. This retrospective pre-post quality improvement project determined if 4% EDTA could improve patient safety by decreasing CLABSIs and central catheter occlusions. This was implemented in all adult cancer and critical care units at a regional cancer hospital and center. Before implementing 4% EDTA, there were 36 CLABSI cases in 16 months (27 annualized). After implementation, there were 6 cases in 6 months (12 annualized), showing a statistically significant decrease of 59% in CLABSIs per 1000 catheter days. However, there was no significant difference in occlusions (alteplase use). Eighty-eight percent of patients had either a positive or neutral outlook, while most nurses reported needing 4% EDTA to be available in prefilled syringes. The pandemic and nursing shortages may have influenced the results; hence, randomized controlled trials are needed to establish a causal relationship between 4% EDTA and CLABSIs and occlusions.

Coding infant engagement in the Face-to-Face Still-Face paradigm using deep neural networks.

BACKGROUND: The Face-to-Face Still-Face (FFSF) task is a validated and commonly used observational measure of mother-infant socio-emotional interactions. With the ascendence of deep learning-based facial emotion recognition, it is possible that common complex tasks, such as the coding of FFSF videos, could be coded with a high degree of accuracy by deep neural networks (DNNs). The primary objective of this study was to test the accuracy of four DNN image classification models against the coding of infant engagement conducted by two trained independent manual raters. METHODS: 68 mother-infant dyads completed the FFSF task at three timepoints. Two trained independent raters undertook second-by-second manual coding of infant engagement into one of four classes: 1) positive affect, 2) neutral affect, 3) object/environment engagement, and 4) negative affect. RESULTS: Training four different DNN models on 40,000 images, we achieved a maximum accuracy of 99.5% on image classification of infant frames taken from recordings of the FFSF task with a maximum inter-rater reliability (Cohen's κ-value) of 0.993. LIMITATIONS: This study inherits all sampling and experimental limitations of the original study from which the data was taken, namely a relatively small and primarily White sample. CONCLUSIONS: Based on the extremely high classification accuracy, these findings suggest that DNNs could be used to code infant engagement in FFSF recordings. DNN image classification models may also have the potential to improve the efficiency of coding all observational tasks with applications across multiple fields of human behavior research.

Maternal and Infant Performance on the Face-to-Face Still-Face Task following Maternal Cognitive Behavioral Therapy for Postpartum Depression.

OBJECTIVE: This study examined the impact of treating postpartum depression (PPD) with cognitive-behavioral therapy (CBT) on mother and infant behavior on the face-to-face still-face (FFSF) paradigm. METHODS: Data from 68 mothers and their infants, 35 women with PPD within 12 months of delivery, and 33 healthy control dyads matched on infant age, sex and familial socioeconomic status were examined. Women with PPD received nine weeks of group CBT and were compared with healthy control dyads with at three timepoints on changes in mother-infant performance on the FFSF. RESULTS: A significant group x FFSF phase x visit interaction was observed for infant withdrawn behavior at the three months post-treatment (p=0.006). Infants of mothers with PPD displayed significantly less withdrawn behavior after treatment, normalizing to levels of control infants. LIMITATIONS: A relatively small sample consisting predominantly of Caucasian mother-infant dyads and the presence of comorbid anxiety in the PPD group. CONCLUSION: Three months after group CBT for PPD, infants' withdrawn behavior appears to normalize to levels seen in the infants of healthy controls. Future studies should investigate whether treatments focused on the mother-infant dyad have distinctive effects on mothers and their infants' behaviors.