WO2006011869A3 - Predictive trement of dysglycemic excursions associated with diabetes mellitus - Google Patents

Predictive trement of dysglycemic excursions associated with diabetes mellitus Download PDF

Info

Publication number
WO2006011869A3
WO2006011869A3 PCT/US2004/020643 US2004020643W WO2006011869A3 WO 2006011869 A3 WO2006011869 A3 WO 2006011869A3 US 2004020643 W US2004020643 W US 2004020643W WO 2006011869 A3 WO2006011869 A3 WO 2006011869A3
Authority
WO
WIPO (PCT)
Prior art keywords
dysglycemic
excursions
diabetes mellitus
vulnerability
patient
Prior art date
Application number
PCT/US2004/020643
Other languages
French (fr)
Other versions
WO2006011869A2 (en
Inventor
M Rosman Paul
M Pappada Scott
Original Assignee
M Rosman Paul
M Pappada Scott
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.)
Filing date
Publication date
Application filed by M Rosman Paul, M Pappada Scott filed Critical M Rosman Paul
Priority to PCT/US2004/020643 priority Critical patent/WO2006011869A2/en
Publication of WO2006011869A2 publication Critical patent/WO2006011869A2/en
Publication of WO2006011869A3 publication Critical patent/WO2006011869A3/en
Priority to US11/615,212 priority patent/US20070128682A1/en
Priority to US12/770,378 priority patent/US20100291604A1/en

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • G16H20/17—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered via infusion or injection
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H70/00—ICT specially adapted for the handling or processing of medical references
    • G16H70/20—ICT specially adapted for the handling or processing of medical references relating to practices or guidelines
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement

Abstract

A predictive technique for treating diabetes mellitus is described whereby a patient's blood glucose levels are monitored 'continuously' over an extended period of time and a life-event diary is maintained records all significant life-events (e.g., food intake, medication, exercise, mood/emotions, etc.). This information is analyzed to derive a mathematical model that closely matches the patient's glucose level variations for the period of monitoring. Specific daily time periods of dysglycemic vulnerability are determined by calculating when the mathematical model predicts that crossings of predetermined hyperglycemic and hypoglycernic threshold levels will occur. These predicted periods of vulnerability are then used to devise a therapeutic plan that administers treatment in anticipation of predicted dysglycemic excursions, thereby limiting the extent of those excursions or eliminating them altogether.
PCT/US2004/020643 2004-06-28 2004-06-28 Predictive trement of dysglycemic excursions associated with diabetes mellitus WO2006011869A2 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
PCT/US2004/020643 WO2006011869A2 (en) 2004-06-28 2004-06-28 Predictive trement of dysglycemic excursions associated with diabetes mellitus
US11/615,212 US20070128682A1 (en) 2004-06-28 2006-12-22 Predictive treatment of dysglycemic excursions associated with diabetes mellitus
US12/770,378 US20100291604A1 (en) 2004-06-28 2010-04-29 Predictive treatment of dysglycemic excursions associated with diabetes mellitus

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2004/020643 WO2006011869A2 (en) 2004-06-28 2004-06-28 Predictive trement of dysglycemic excursions associated with diabetes mellitus

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US11/615,212 Continuation US20070128682A1 (en) 2004-06-28 2006-12-22 Predictive treatment of dysglycemic excursions associated with diabetes mellitus

Publications (2)

Publication Number Publication Date
WO2006011869A2 WO2006011869A2 (en) 2006-02-02
WO2006011869A3 true WO2006011869A3 (en) 2006-06-15

Family

ID=35786601

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2004/020643 WO2006011869A2 (en) 2004-06-28 2004-06-28 Predictive trement of dysglycemic excursions associated with diabetes mellitus

Country Status (1)

Country Link
WO (1) WO2006011869A2 (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2436873A (en) * 2006-04-07 2007-10-10 Univ Cambridge Tech Blood glucose monitoring systems
US10499533B1 (en) 2018-08-01 2019-12-03 Fujitsu Limited Container cabling systems and methods

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020099686A1 (en) * 2000-07-27 2002-07-25 Schwartz Eric L. Method and apparatus for analyzing a patient medical information database to identify patients likely to experience a problematic disease transition
US6923763B1 (en) * 1999-08-23 2005-08-02 University Of Virginia Patent Foundation Method and apparatus for predicting the risk of hypoglycemia

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6923763B1 (en) * 1999-08-23 2005-08-02 University Of Virginia Patent Foundation Method and apparatus for predicting the risk of hypoglycemia
US20020099686A1 (en) * 2000-07-27 2002-07-25 Schwartz Eric L. Method and apparatus for analyzing a patient medical information database to identify patients likely to experience a problematic disease transition

Also Published As

Publication number Publication date
WO2006011869A2 (en) 2006-02-02

Similar Documents

Publication Publication Date Title
US7266400B2 (en) Glucose level control method and system
Georga et al. A glucose model based on support vector regression for the prediction of hypoglycemic events under free-living conditions
Said et al. Transdermal sustained-delivery oxygen improves epithelial healing in a rabbit ear wound model
WO2008057213A3 (en) Calculation device for metabolic control of critically ill and/or diabetic patients
US20070128682A1 (en) Predictive treatment of dysglycemic excursions associated with diabetes mellitus
KR20220122729A (en) Systems and methods for assisting individuals in behavior-change programs
Lam et al. Active insulin infusion using optimal and derivative-weighted control
Doró et al. Seasonality in the incidence of type 2 diabetes: a population-based study
Sevil et al. Assessing the effects of stress response on glucose variations
Iancu et al. Method for the analysing of blood glucose dynamics in diabetes mellitus patients
Takahashi et al. A survey of insulin-dependent diabetes—part II: control methods
DeFranco et al. Understanding smart medical devices
CN116168840B (en) Method, equipment and system for predicting postoperative delirium occurrence risk
WO2006011869A3 (en) Predictive trement of dysglycemic excursions associated with diabetes mellitus
Georga et al. Prediction of glucose concentration in type 1 diabetic patients using support vector regression
WO2003099105A3 (en) Diagnosis and treatment of human dormancy syndrome
Ismail Eating disorders and diabetes
Watanabe et al. Incidence pattern and treatment of a clinical entity-Overswinging or circadian hyperamplitudetension (CHAT)
Faccioli et al. Black-box model identification of physical activity in type-l diabetes patients
Banerjee Machine learning (ML) in diet planning for type-l
EP3425542A1 (en) Method for determining the degree of activation of the trigeminovascular system
Peker REM sleep: a nightmare for patients with obstructive sleep apnea?
Hörbst Can smartphone-based logging support diabetologists in solving glycemic control problems?
Sano et al. Mobile sensing of alertness, sleep and circadian rhythm: Hardware & software platforms
KR20230090385A (en) Artificial pancreas management systems and methods

Legal Events

Date Code Title Description
AK Designated states

Kind code of ref document: A2

Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BW BY BZ CA CH CN CO CR CU CZ DE DK DM DZ EC EE EG ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX MZ NA NI NO NZ OM PG PH PL PT RO RU SC SD SE SG SK SL SY TJ TM TN TR TT TZ UA UG US UZ VC VN YU ZA ZM ZW

AL Designated countries for regional patents

Kind code of ref document: A2

Designated state(s): BW GH GM KE LS MW MZ NA SD SL SZ TZ UG ZM ZW AM AZ BY KG KZ MD RU TJ TM AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IT LU MC NL PL PT RO SE SI SK TR BF BJ CF CG CI CM GA GN GQ GW ML MR NE SN TD TG

121 Ep: the epo has been informed by wipo that ep was designated in this application
WWE Wipo information: entry into national phase

Ref document number: 11615212

Country of ref document: US

NENP Non-entry into the national phase

Ref country code: DE

WWW Wipo information: withdrawn in national office

Country of ref document: DE

WWP Wipo information: published in national office

Ref document number: 11615212

Country of ref document: US

122 Ep: pct application non-entry in european phase