Publications by authors named "Kwadjo Ntow"

Article Synopsis
  • - Oncology and critical care patients are at a higher risk for central line-associated bloodstream infections (CLABSIs) and thrombotic occlusions due to the use of central vascular access devices (CVADs), with CLABSIs increasing by 63% during the COVID-19 pandemic.
  • - A quality improvement project introduced 4% ethylenediaminetetraacetic acid (EDTA) as an antimicrobial locking solution, leading to a significant decrease in CLABSIs from 36 cases in 16 months to 6 cases in 6 months (a 59% reduction).
  • - Though the study showed promising results in reducing CLABSIs, it found no significant improvement in occlusions, and further research
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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.

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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.

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