EA201501035A1 - METHOD FOR PREDICTING THE RISK OF DEVELOPMENT OF DIABETES MELLITUS TYPE 2 - Google Patents

METHOD FOR PREDICTING THE RISK OF DEVELOPMENT OF DIABETES MELLITUS TYPE 2

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Publication number
EA201501035A1
EA201501035A1 EA201501035A EA201501035A EA201501035A1 EA 201501035 A1 EA201501035 A1 EA 201501035A1 EA 201501035 A EA201501035 A EA 201501035A EA 201501035 A EA201501035 A EA 201501035A EA 201501035 A1 EA201501035 A1 EA 201501035A1
Authority
EA
Eurasian Patent Office
Prior art keywords
risk
diabetes mellitus
diabetes
developing
type
Prior art date
Application number
EA201501035A
Other languages
Russian (ru)
Other versions
EA030585B1 (en
Inventor
Светлана Владимировна Мустафина
Оксана Дмитриевна Рымар
Лилия Валерьевна Щербакова
Михаил Иванович Воевода
Original Assignee
Федеральное Государственное Бюджетное Научное Учреждение "Научно-Исследовательский Институт Терапии И Профилактической Медицины"
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Application filed by Федеральное Государственное Бюджетное Научное Учреждение "Научно-Исследовательский Институт Терапии И Профилактической Медицины" filed Critical Федеральное Государственное Бюджетное Научное Учреждение "Научно-Исследовательский Институт Терапии И Профилактической Медицины"
Publication of EA201501035A1 publication Critical patent/EA201501035A1/en
Publication of EA030585B1 publication Critical patent/EA030585B1/en

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Chemical & Material Sciences (AREA)
  • Biomedical Technology (AREA)
  • Pathology (AREA)
  • Physics & Mathematics (AREA)
  • Veterinary Medicine (AREA)
  • Food Science & Technology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Hematology (AREA)
  • Urology & Nephrology (AREA)
  • Biophysics (AREA)
  • Surgery (AREA)
  • Medicinal Chemistry (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

Изобретение относится к медицине, преимущественно к эндокринологии, и может быть использовано для скрининг-тестирования пациентов и раннего, индивидуального прогнозирования риска развития сахарного диабета 2 типа в течение ближайших десяти лет у лиц в возрасте 45-69 лет. Для определения риска развития сахарного диабета 2 типа определяют клинико-анамнестические данные: ИМТ, ОТ, АГ, наличие сахарного диабета у близких родственников, а также лабораторные данные: ТГ, ХС ЛВП, показания САД и ДАД, уровень сахара в крови и согласно вопроснику ("шкалы риска") определяют баллы, суммируют их и по полученному значению судят о риске развития СД 2 типа. При значении баллов ниже 8 судят о низкой степени риска развития СД 2 типа в ближайшие 10 лет, а при значении баллов более 8 судят о высокой степени риска развития СД 2 типа.The invention relates to medicine, mainly to endocrinology, and can be used for screening testing of patients and early, individual prediction of the risk of developing diabetes mellitus type 2 over the next ten years in people aged 45-69 years. To determine the risk of developing diabetes mellitus type 2, clinical and anamnestic data is determined: BMI, OT, AH, diabetes mellitus in close relatives, and laboratory data: TG, HDL cholesterol, indications of CAD and DAD, blood sugar levels and according to the questionnaire "risk scales") determine the scores, summarize them and judge the risk of developing type 2 diabetes by the value obtained. With a score below 8, a low risk of developing type 2 diabetes is judged in the next 10 years, and with a score above 8, a high degree of risk of developing type 2 diabetes is judged.

EA201501035A 2015-10-20 2015-11-18 Method of forecasting risk of developing type 2 diabetes mellitus EA030585B1 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
RU2015145061A RU2611900C1 (en) 2015-10-20 2015-10-20 Method for prediction of risk of type 2 diabetes development

Publications (2)

Publication Number Publication Date
EA201501035A1 true EA201501035A1 (en) 2017-04-28
EA030585B1 EA030585B1 (en) 2018-08-31

Family

ID=58459171

Family Applications (1)

Application Number Title Priority Date Filing Date
EA201501035A EA030585B1 (en) 2015-10-20 2015-11-18 Method of forecasting risk of developing type 2 diabetes mellitus

Country Status (2)

Country Link
EA (1) EA030585B1 (en)
RU (1) RU2611900C1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2735706C1 (en) * 2019-07-24 2020-11-06 Александр Сергеевич Аметов Method for prediction of risk of developing vascular lesions at early stages of carbohydrate metabolism disorders

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2264170C2 (en) * 2003-12-24 2005-11-20 Уральская государственная медицинская академия дополнительного образования Method for predicting the development of non-insulin dependent diabetes mellitus in patients with metabolic syndrome
UA92113U (en) * 2014-04-07 2014-07-25 Харківський Національний Медичний Університет Method for prediction of development of diabetes insular of 2 type in patients with hypertonic disease by activity of apeline

Also Published As

Publication number Publication date
RU2611900C1 (en) 2017-03-01
EA030585B1 (en) 2018-08-31

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MM4A Lapse of a eurasian patent due to non-payment of renewal fees within the time limit in the following designated state(s)

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