A system and method for selecting a patient population for spinal repair using a measurable outcome predictive metric of the spine
AssigneeMedical Metrics, Inc.
InventorJohn A. Hipp
Life of this patent
Estimating the term…
Abstract
The present disclosure describes systems and methods for determining whether a particular treatment would provide an extended benefit or a detriment to a subpopulation of patients. The system and methods provide a simple pictorial representation of patient benefits using an outcome predictive metric to see if any subpopulation produces significantly better results than the average or significantly worse results than the average.
Claims25
A method for determining whether a particular treatment would provide an extended benefit or a reduced benefit to a subpopulation of patients using an outcome predictive metric comprising:
- obtaining information regarding the clinical outcomes of a plurality of patients for a particular medical treatment;
- determining at least one quantitative metric that has an outcome predictive correlation with the disease condition being treated;
- determining the percentage of people with beneficial outcomes as a function of the at least one outcome predictive metric;
- determining the baseline of beneficial outcomes by averaging the values of the quantitative metric over the least variable range of values;
- calculating a range of expected benefits around the baseline beneficial outcomes;
- plotting the percentage of patients with beneficial outcomes using an increasing threshold and using a decreasing threshold;
- and
- determining if one or more sub-populations have a benefit or detriment that is outside the range around baseline of beneficial outcomes.
A method for determining whether a particular spinal treatment would provide an extended benefit or a detriment to a subpopulation of patients using a least one outcome predictive metric comprising:
- obtaining information regarding the clinical outcomes of a plurality of patients from a particular spinal treatment;
- determining at least one quantitative metric that has an outcome predictive correlation with the spinal condition being treated;
- determining the percentage of people with beneficial outcomes as a function of the at least one outcome predictive metric;
- determining the baseline of beneficial outcomes by averaging the values of the quantitative metric over the least variable range of values;
- calculating a range of expected benefits around the baseline beneficial outcomes;
- plotting the percentage of patients with beneficial outcomes using an increasing threshold and using a decreasing threshold;
- and
- determining if one or more sub-populations have a benefit or detriment that is outside the 95% confidence interval for the baseline of beneficial outcomes.
A method for determining whether a spinal treatment would provide an extended benefit or a detriment to a subpopulation of patients using a stability metric comprising:
- obtaining an x-ray film of a first and a second vertebrae in a first position;
- obtaining an x-ray film of a first and second vertebrae in a second position, determining the rotation and translation required to align the second vertebra;
- measuring the degree of vertebral rotation between the first and second vertebrae in the first and second positions and calculating a TPDR;
- multiplying the TPDR by a standardizing factor specific to the first and second vertebrae to generate a stability metric;
- obtaining information regarding the clinical outcomes of a plurality of patients from a particular spinal treatment;
- plotting the percentage of patients with beneficial outcomes as a function of the stability metric using an increasing threshold and using a decreasing threshold;
- and
- determining if one or more sub-populations have a benefit or detriment that is outside the baseline of beneficial outcomes.
A non-transitory computer readable medium encoded with a computer program that, when executed by a processor, is configured to control a method for determining whether a particular treatment would provide an extended benefit or a detriment to a subpopulation of patients using an outcome predictive metric, the method comprising:
- acquiring information regarding the clinical outcomes of a plurality of patients from a particular medical treatment;
- acquiring or calculating at least one quantitative metric that has an outcome predictive correlation with the disease condition being treated;
- calculating the percentage of people with beneficial outcomes as a function of the at least one outcome predictive metric;
- determining the baseline of beneficial outcomes by averaging the values of the quantitative metric over the least variable range of values;
- calculating a range of expected benefits around the baseline beneficial outcomes;
- creating a pictorial representation of the percentage of patients with beneficial outcomes using an increasing threshold and using a decreasing threshold;
- and
- determining whether any subpopulation of patients is outside the confidence interval for the baseline benefit.
Dependencies are inferred from the claim text.