Intractable/Rare Diseases Trend Ranking in MDV Data (2022)

1. What Kind of Information is included in MDV Database?

MDV database contains medical treatment, disease, and partial blood test result information allowing different analyses by pharmaceutical companies, medical device manufacturers, academia, research institutions, and health insurance companies.
Within the medical treatment information, medications are included. Medication information can be broken down to generic names and product names. This information can be used to target a specific patient population for refined analysis.
On this occasion, we will look at the medication trend ranking in Japan using the data in MDV database.

2. Intractable/Rare Diseases Trend Ranking in MDV Data (January 2022- December 2022)

MDV Database contains more than 45 million patient data from over 480 hospitals in Japan:

NoICD 10 CodeICD 10 Category NameNumber of Patients
1G20Parkinson disease97,189
2K519Ulcerative colitis, unspecified45,956
3M329Systemic lupus erythematosus, unspecified39,774
4M488Other specified spondylopathies26,785
5N028Recurrent and persistent haematuria : other23,890
6D693Idiopathic thrombocytopenic purpura18,846
7I420Dilated cardiomyopathy18,623
8D869Sarcoidosis, unspecified13,415
9G700Myasthenia gravis12,891
10J841Other interstitial pulmonary diseases with fibrosis12,487
11M321Systemic lupus erythematosus with organ or system involvement12,343
12K509Crohn disease, unspecified11,177
13M339Dermatopolymyositis, unspecified10,631
14K510Ulcerative (chronic) pancolitis9,798
15Q613Polycystic kidney, unspecified7,625
16M317Microscopic polyangiitis7,521
17G35Multiple sclerosis7,438
18M340Progressive systemic sclerosis7,432
20G319Degenerative disease of nervous system, unspecified7,306

As MDV database main source is provided by various hospital institutions, it is more likely to locate a more substantial volume of information on rare diseases.

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About Japanese Healthcare System

What you need to know about the healthcare system in Japan before using the data.


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