Clinical conditions and associated scores are as follows:
Score 1: Myocardial infarct, congestive heart failure, peripheral vascular disease, dementia, cerebrovascular disease, chronic lung disease, connective tissue disease, ulcer, chronic liver disease, diabetes.
Score 2: Hemiplegia, moderate or severe kidney disease, diabetes with end organ damage, tumor, leukemia, lymphoma.
Score 3: Moderate or severe liver disease.
Score 6: Malignant tumor, metastasis, AIDS.
How it works:
Scores are summed to provide a total score to predict mortality. Many variations of the Charlson comorbidity index have been presented, including the Charlson/Deyo, Charlson/Romano, Charlson/Manitoba, and Charlson/D'Hoores comorbidity indices.
For a physician, this score is helpful in deciding how aggressively to treat a condition. For example, a patient may have cancer with comorbid heart disease and diabetes. These comorbidities may be so severe that the costs and risks of cancer treatment would outweigh its short-term benefit.
Anyone can also modified the model based on their available clinical data. If you have more conditions available in you data you can score them based on their risk. Also you can set the score based on the average cost of the condition.
Getting Risk Score From the Index:
Each member get the sum of the score point based on the assigned score. Now get the average of the total score for the population. Divide the each members score by the average. If anyone want they can weighted them by the member eligibility period.
After having a persistent cough for over a year, I was diagnosed with COPD
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