Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers

OBJECTIVES: To describe and compare off-label use and cardiovascular (CV) adverse effects of dexmedetomidine in neonates and infants in the pediatric intensive care unit (PICU). METHODS: Patients younger than 12 months with corrected gestational ages of at least 37 weeks who were receiving continuous infusion of dexmedetomidine at a tertiary pediatric referral center between October 2007 and August 2012 were assessed retrospectively. Patients were excluded if dexmedetomidine was used for procedural sedation, postoperative CV surgery, or if postanesthesia infusion weaning orders existed at the time of PICU admission. RESULTS: The median minimum dexmedetomidine dose was similar between infants and neonates at 0.2 mcg/kg/hr (IQR, 0.17–0.3) versus 0.29 mcg/kg/hr (IQR, 0.2–0.31), p = 0.35. The median maximum dose was higher for infants than neonates (0.6 mcg/kg/hr [IQR, 0.4–0.8] vs. 0.4 mcg/kg/hr [IQR, 0.26–0.6], p < 0.01). Additional sedative use was more common in infants than neonates (75/99 [76%] vs. 15/28 [54%], p = 0.02). At least 1 episode of hypotension was noted in 34/127 (27%) patients and was similar between groups. An episode of bradycardia was identified more frequently in infants than neonates (55/99 [56%] vs. 2/28 [7%], p < 0.01). Significant reduction in heart rate and systolic blood pressure was noted when comparing baseline vital signs to lowest heart rate and systolic blood pressure during infusion (p < 0.01). CONCLUSIONS: Dexmedetomidine dose ranges were similar to US Food and Drug Administration–labeled dosages for intensive care unit sedation in adults. More infants than neonates experienced a bradycardia episode, but infants were also more likely to receive higher dosages of dexmedetomidine and additional sedatives.

Download Full-text

Author Correction: Application of a convolutional neural network for predicting the occurrence of ventricular tachyarrhythmia using heart rate variability features

Scientific Reports ◽

10.1038/s41598-020-68530-0 ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Getu Tadele Taye ◽

Han-Jeong Hwang ◽

Ki Moo Lim

Keyword(s):

Neural Network ◽

Heart Rate ◽

Heart Rate Variability ◽

Convolutional Neural Network ◽

Ventricular Tachyarrhythmia

Download Full-text

The Effect of Live Spontaneous Harp Music on Patients in the Intensive Care Unit

Evidence-based Complementary and Alternative Medicine ◽

10.1155/2013/428731 ◽

2013 ◽

Vol 2013 ◽

pp. 1-6 ◽

Cited By ~ 6

Author(s):

Ann Marie Chiasson ◽

Ann Linda Baldwin ◽

Carrol Mclaughlin ◽

Paula Cook ◽

Gulshan Sethi

Keyword(s):

Blood Pressure ◽

Intensive Care Unit ◽

Heart Rate ◽

Heart Rate Variability ◽

Intensive Care ◽

Oxygen Saturation ◽

Respiratory Rate ◽

Rest Period ◽

Underlying Mechanism ◽

To Receive

This study was performed to investigate the effect of live, spontaneous harp music on individual patients in an intensive care unit (ICU), either pre- or postoperatively. The purpose was to determine whether this intervention would serve as a relaxation or healing modality, as evidenced by the effect on patient’s pain, heart rate, respiratory rate, blood pressure, oxygen saturation, and heart rate variability. Each consenting patient was randomly assigned to receive either a live 10-minute concert of spontaneous music played by an expert harpist or a 10-minute rest period. Spontaneous harp music significantly decreased patient perception of pain by 27% but did not significantly affect heart rate, respiratory rate, oxygen saturation, blood pressure, or heart rate variability. Trends emerged, although being not statistically significant, that systolic blood pressure increased while heart rate variability decreased. These findings may invoke patient engagement, as opposed to relaxation, as the underlying mechanism of the decrease in the patients’ pain and of the healing benefit that arises from the relationship between healer, healing modality, and patient.

Download Full-text

Neural network analysis of heart rhythm variability for diagnosis of immobilization syndrome and objectivization of effectiveness of early rehabilitation

Medical and Social Expert Evaluation and Rehabilitation ◽

10.17816/mser34233 ◽

2020 ◽

Vol 23 (1) ◽

pp. 9-17

Author(s):

Julia Yu. Nekrasova ◽

D. S. Yankevich ◽

М. М. Kanarsky ◽

A. S. Markov

Keyword(s):

Neural Network ◽

Heart Rate ◽

Heart Rate Variability ◽

Intensive Care ◽

Network Analysis ◽

Heart Rhythm ◽

Neural Network Analysis ◽

Heart Rhythm Variability ◽

Post Intensive Care Syndrome

The article discusses the use of a neural network analysis of heart rate variability for the diagnosis of immobilization syndrome and post-intensive care syndrome (PICS) in patients with disorders of consciousness for monitoring the quality of the rehabilitation process. It is shown that there are statistical differences between the curves characterizing the heart rate variability of healthy patients and patients with impaired consciousness. The use of a neural network allows to automatically evaluate the severity of the immobilization syndrome and Post Intensive Care Syndrome, as well as the effectiveness of measures for their prevention and the overall quality of the work of medical personnel.

Download Full-text