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Technique for determining a state of multiple sclerosis in a patient

A multiple sclerosis and status technology, applied in the direction of patient-specific data, medical automated diagnosis, special data processing applications, etc., to achieve the effect of eliminating subjectivity, fast and simple use, and good long-term results

Pending Publication Date: 2021-11-16
NOVARTIS AG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The technology needs to be objective, i.e. without the subjectivity of the attending physician, fast and easy to use for the physician

Method used

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  • Technique for determining a state of multiple sclerosis in a patient
  • Technique for determining a state of multiple sclerosis in a patient
  • Technique for determining a state of multiple sclerosis in a patient

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0226] Table 4A, Table 5A, and Table 6A provide the weights for items Q1–Q20 and the scores for the corresponding responses to each of the items Q1–Q20. Table 5A further includes weights for the sub-items of each of the items Q6-Q15 and scores for the corresponding responses to each of the sub-items. Table 4A, Table 5A, and Table 6A correspond to Table 4, Table 5, and Table 6, respectively. Optionally, Table 4A, Table 5A and Table 6A show the maximum possible score for each item and sub-item (if applicable) in the item. For projects with sub-projects—the maximum possible score for an project is the sum of the maximum possible scores for the sub-projects in the project. The largest possible number of groups is also indicated, assuming that the first group includes all of Q1 to Q5, the second group includes all of Q6 to Q15, and the third group includes all of Q16 to Q20.

[0227] Table 4A – Group 1 – Items, Item Weights, Corresponding Scheduled Responses and Response Scores ...

example 2

[0257] In this example, the EDSS score and the age score are determined together and may be referred to as the "clinical score". Tables 4B, 5B, and 6A (as provided in Example 1 above) provide the weights for items Q1-Q20 in this example and the scores for the corresponding responses to each of the items Q1-Q20.

[0258] Table 4B – Group 1 – Items, Item Weights, Corresponding Scheduled Responses and Response Scores

[0259]

[0260] Table 5B - Second Group - Items, Item Weights, Corresponding Predetermined Responses and Response Scores.

[0261]

[0262]

[0263] Table 7B shows the weights and scores for EDSS, T25FW and age.

[0264] Table 7B – Clinical Score – (EDSS and / or T25FW) and Age

[0265]

[0266] Calculation of the total score:

[0267] When all items Q1-Q20 are included in the first, second, and third groups, the item score for each item Q1-Q20 is obtained by multiplying the item weight by the corresponding response selected for that item to determine...

example 2、2A

[0297] Examples 2, 2A and 2B – the first (ie, Example 2) using Table 7B and the second (ie, Examples 2A and 2B) using Table 7C, provide how to determine or calculate the first set of scores, Examples of each of the binary and tertiary fractions are as explained above.

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PUM

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Abstract

A technique for determining a state of MS (Multiple Sclerosis) in a MS patient, for example Relapsing-Remitting MS (RRMS) or Secondary Progressive MS (SPMS) or an in-transition from RRMS to SPMS state, is presented. In the technique, patient data and age of the patient, and optionally EDSS score and / or T25FW score, is inputted by a user to a processor. The patient data queries comprise items grouped into a first group relating to relapse and recovery, a second group relating to symptoms experienced and a third group relating to impacts experienced by the patient in a predetermined period. Each item has an assigned predetermined weight and comprises a plurality of corresponding predetermined responses. Each response has an assigned predetermined score. Predetermined weights are also assigned for age query and to the EDSS query and / or the T25FW query. The processor, based on the first, second and third group scores and the age score, and the optionally included EDSS score and / or T25FW score generates a total score based on which the state of MS e.g. RRMS or SPMS or in-transition from RRMS to SPMS is determined.

Description

technical field [0001] The present invention relates to techniques for determining the status of multiple sclerosis (MS) in a patient, and more particularly to determining the progression of MS from relapsing-remitting MS (RRMS) to secondary progression Technology for the progression of secondary progressive MS (SPMS). Background technique [0002] Multiple sclerosis (MS) is a chronic inflammatory neurodegenerative disease of the central nervous system (CNS) characterized by demyelination (ie, loss of myelin proteins) and variable degrees of axonal loss and gliosis. The main view in neurology is that MS is an autoimmune disease. MS is the leading cause of neurological dysfunction in young and middle-aged adults, affecting an estimated 2.5 million people worldwide. Most patients were diagnosed between the ages of 20 and 40 (female to male ratio 2:1). [0003] Clinicians generally classify MS patients into different types of disease patterns. Simply put, MS is generally div...

Claims

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Application Information

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IPC IPC(8): G16H10/20G16H50/30
CPCG16H50/30G16H10/20G16H50/20G16H10/60G06F16/90335
Inventor D·皮亚尼梅尔D·L·托米奇C·托利B·M·班尼特
Owner NOVARTIS AG
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