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US 2016/0235295 A1Published application
Quantitative pupillometry as a bedside predictor of postoperative respiratory depression
AssigneeChildren's Hospital Medical Center
InventorSenthilkumar Sadhasivam
Life of this patent
Estimating the term…
Abstract
A non-invasive bedside tool for monitoring central nervous system effects of opioids. The tool illustratively comprises a quantitative pupillometry system for predicting a probability of at least one opioid-related central effect based on detected pupillary effects.
Claims23
A quantitative pupillometry system for predicting respiratory depression comprising:
- a pupillometer including an image acquisition device and a stimulus light source, the image acquisition device configured to detect pupillary effects from a pupil of a patient in response to light from the stimulus light source being applied to the pupil;
- a memory unit, wherein opioid pharmacokinetic data is stored within the memory unit;
- a processor in communication with the pupillometer and the memory unit, the processor including:
- a pharmacokinetic association module for associating the opioid pharmacokinetics with anticipated pupillary effects;
- and
- a respiratory depression prediction module for predicting a probability of opioid-related respiratory depression by comparing the anticipated pupillary effects from the pharmacokinetic association module and the detected pupillary effects from the pupillometer;
- and
- a user interface in communication with the processor, the user interface configured to provide the prediction of the probability of opioid-related respiratory depression from the respiratory depression prediction module to a user.
5 more elements
A quantitative pupillometry system for predicting a probability of at least one opioid-related central effect comprising:
- a pupillometer including an image acquisition device and a stimulus light source, the image acquisition device configured to detect pupillary effects from a pupil of a patient in response to light from the stimulus light source being applied to the pupil;
- a processor in communication with the pupillometer, the processor including an opioid-related central effect prediction module for predicting a probability of at least one opioid-related central effect in response to the pupillary effects detected by the pupillometer;
- and
- a user interface in communication with the processor, the user interface configured to display the prediction of the probability of the at least one opioid-related central effect from the processor to a user.
1 more element
A method of predicting a probability of at least one opioid-related central effect comprising:
- administering an opioid to a patient;
- stimulating a pupil of the patient;
- acquiring an image of the stimulated pupil;
- detecting pupillary effects of the pupil;
- predicting a probability of at least one opioid-related central effect based upon the detected pupillary effects;
- and
- providing the predicted probability of the at least one opioid-related central effect to a user.
4 more elements
Dependencies are inferred from the claim text.