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WO2009063339A2 - Procédé de suivi de développement pédiatrique - Google Patents

Procédé de suivi de développement pédiatrique Download PDF

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Publication number
WO2009063339A2
WO2009063339A2 PCT/IB2008/053562 IB2008053562W WO2009063339A2 WO 2009063339 A2 WO2009063339 A2 WO 2009063339A2 IB 2008053562 W IB2008053562 W IB 2008053562W WO 2009063339 A2 WO2009063339 A2 WO 2009063339A2
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WO
WIPO (PCT)
Prior art keywords
height
weight
values
head circumference
value
Prior art date
Legal status (The legal status 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 status listed.)
Ceased
Application number
PCT/IB2008/053562
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English (en)
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WO2009063339A3 (fr
Inventor
Michael Inbar
Ziv Belsky
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INDICARE
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INDICARE
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Filing date
Publication date
Application filed by INDICARE filed Critical INDICARE
Publication of WO2009063339A2 publication Critical patent/WO2009063339A2/fr
Publication of WO2009063339A3 publication Critical patent/WO2009063339A3/fr
Priority to IL205139A priority Critical patent/IL205139A0/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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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
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • 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
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • 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
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders

Definitions

  • This invention relates to pediatric development monitoring and in particular to methods of determining normal vs. abnormal development in infants.
  • Child development also referred to herein as “pediatric development” or
  • “pediatric growth”) in particular in the first 2 years after birth, is a key concern for parents, caregivers and the medical community.
  • pediatric growth is evaluated through growth charts. These are used to track measurements of a patient's height (length), weight and head circumference, to see how the patient measures in relation to other children his/her age or to other children with similar diagnoses.
  • a growth chart includes percentile curves of children's measurements and a patient's measurements are plotted in relation to the percentile curves.
  • Types of growth charts include the Center for Disease Control (CDC) growth charts, specialty growth charts such as Down's Syndrome, Turner Syndrome, Babson and Nallhaus growth charts and other growth charts specific to countries or regions.
  • the determination whether pediatric growth is "normal” depends therefore on the separate measurement of at least three parameters and the separate comparison of each parameter with a respective growth chart. Normally, the measurement of each parameter is performed separately, with a dedicated device (e.g. measurement tape for height/length and/or for head circumference) and weight balance for weight). The comparison to a growth chart is normally done manually, by a nurse or pediatrician. Sometimes, the three parameters are not in agreement as to a particular development status (i.e. each parameter may lie in a different percentile of its respective chart), making it difficult to determine if there is a problem that needs to be addressed. It would therefore be beneficial to have a simple method that allows quick and accurate determination of pediatric growth status based on a single parameter value.
  • the invention discloses a system and method for providing a single, combined growth parameter which indicates whether the pediatric growth of a patient is "normal” or "abnormal".
  • the combined growth parameter is obtained by applying an algorithm on measured values of three parameters: the patient's height (or length), the patient's weight and the patient's head circumference.
  • a method for indicating the pediatric growth status of a patient for which a data set of measured weight, height and head circumference values is obtained at each measurement time t, the method comprising the steps of: at each time t, obtaining a set of direct percentile values of weight, height and head circumference using the respective measured weight, height and head circumference values arid computing a single combined indication value from the direct percentile values of weight, height and head circumference, the single combined indication value indicative of a pediatric growth status.
  • Steps in the computation of the single combined indication value include, for each of the weight, height and head circumference: computing a set of slow average weighted percentile values; computing a set of fast average weighted percentile values; computing a set of difference values from differences between the fast average and the slow average weighted percentile values; computing a set of weight, height and head circumference augmented values from the difference values; and computing the single combined indication value from the set of weight, height and head circumference augmented values.
  • FIG. 1 shows a flow chart of an embodiment of the method of the invention.
  • a patient e.g. infant
  • age from date of birth
  • gender a data set of measured height (h), weight (w) and head circumference (c) values (all three being physiological parameters).
  • the physiological parameter set values may be in MKS units (e.g. "cm” for height and circumference and “kg” for weight, or in any other unit system used in growth charts (for example inches for height and circumference and pounds for weight).
  • MKS units e.g. "cm” for height and circumference and "kg” for weight, or in any other unit system used in growth charts (for example inches for height and circumference and pounds for weight).
  • M(t) also referred to as a "mark”
  • mark M(t) is computed using an algorithm that includes a series of formulas and parameters defined below. The computation is now described in detail, with reference to FIG. 1.
  • a step 102 two sets of averaged parameters (defined below) are computed for each physiological parameter: a "slow average” weighted percentile parameter (referred to simply as “slow average” of the parameter), which reacts slowly to differences in new data compared to the average, and a “fast average” weighted percentile parameter (referred to simply as “fast average” of the parameter), which reacts more quickly to such changes.
  • the "slow average” parameters (for each physiological parameter, i.e. for height, weight and head circumference) are respectively "H P AV s (t)” [%], “W P AV s (t)” [%], “C P AV s (t)” [%].
  • the “fast average” parameters are respectively ⁇ P AV F (t)” [%], “W P AV F (t)” [%], “CpAV F (t)” [%].
  • These parameters represent respective percentiles or "weighted averages of percentile values”.
  • “t” refers to an integer measurement time t (e.g. O 1 1, 2 ... etc.) and "t-1 "refers to the integer measurement time (t minus 1 ).
  • the formulas are recursive and given next: Slow average weighted percentile of height:
  • HpAVs(I) [%] HpAVs(M )+H P (t)*AV s )/(l+AV s )
  • CpAV s (t) [%] (CpAV s (t-l)+Cp(t)*AV s )/(l+AV s ) Fast average weighted percentile of height:
  • WpAV F (t) [%] (W P AV F (t-l)+Wp(t)*AV F )/(l+AV F )
  • the recursive formulas of the "slow average” and “fast average' 1 parameters use preset constants, designated here as AVWs, AVW F for weight, AVHs, AVH F for height and AVCs, AVC F for head circumference. These constants conform to (where X represent W, H or C) the requirement.
  • AVs and AVp' 1 are constants in the algorithm which do not change per measurement or per child. They may be fixed for every race group or nationality, or may have different values for different race groups or nationalities.
  • HpAV s (-l) [%] sum [Hp(O), H P (1) ? H P (2),..., H P (N)]/(N+1)
  • WpAV s ( ⁇ l) [%] sum [W P CO), W P CI), W P (2) V .., W P (N)]/(N+1)
  • a way to test the adequacy of the chosen values of "AVg” and “AV F " is to generate a test group of full sets of historical data of both "normal” and “not normal” children (as determined by an expert physician examination of the historical growth data) and compare their classification as “normal” and “not normal” to that of the algorithm (as explained below).
  • the size of the test group and the amount of fit required to use specific constant values depend on the user-defined tolerable error margin (how many "wrongs" the potential algorithm user is willing to accept in his target population based on the amount of misclassifi cations observed in the test group, which is easily computed by statisticians).
  • a value of the difference "DIFF" [%] between the “fast” and “slow” average of each measurement (“D ⁇ FF H P AV" [%] for height, "DIFF WpAV” [%] for weight and "DIFF CpAV” [%] for head circumference) is computed as follows:
  • the value for each parameter is augmented to reflect the "importance" of this difference: the closer to 50% the "fast” average is, the less significance there is to the difference between it and the "slow” average.
  • the augmentation process includes first the determination of a measure of the "distance” (DIS) value of the "fast average” from the extreme percentiles (0% and 100%). Exemplarily, if the fast average weighted percentile value is smaller than or equal to 50%, DIS is set equal to the respective fast average weighted percentile value, and if the fast average weighted percentile value is larger than 50%, DIS is set equal to the result of a subtraction of the respective fast average weighted percentile value from 100%:
  • step 108 combined indication value M(t) is now computed based on all three augmented values MHp(t), MWp(t) and MCp(t).
  • An exemplary calculation of M(t) is based on setting M(t) to equal the highest absolute value of the three (MH ⁇ (t), MWp(t) or MCp(t)) (the furthest from 0, be it plus or minus).
  • Tables 1 and 2 provide exemplary values of each parameter (measured or computed) above, for, respectively two infants (infant A and infant B).
  • step HO 5 the M(t) value is compared to two extreme values of -1 and +1. If the M(t) value exceeds any of the two extreme values, this may be considered an indication of abnormal growth.
  • the Mp(t) values at each measurement time were chosen to be equal to the maximum value in each three parameter MWp(t), MHp(t), MCp(t) set.
  • the Mp(t) values may be plotted as a function of time (calibrated for "months since birth"), where values of 1 and -1 mark “normal” values. Any value above 1 or below -1 constitutes a transgression from “normal” to “caution” meaning the algorithm indicates a possible developmental problem. One can see that infant A is "normal, as the M(t) value never extends beyond the two bounds.
  • Mp(I) values at each measurement time were chosen to be equal to the maximum value in each three parameter MWp(I), MHp(t), MCp(t) set.
  • M P (t) MW P (t) - -4.43.
  • the Mp(t) values may be plotted as a tunction of time (calibrated for "months since birth"), where values of 1 and -1 mark "normal” values.
  • infant B shows "abnormal" growth starting on day 279, when the value of Mp(t) falls below the -1 value.
  • the physiological parameters of height, weight and head circumference may be measured using standard equipment known in the art, or a dedicated system that measures all three parameters.
  • the algorithm described above may be implemented as a computer program storing program code for performing the method.

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Ultra Sonic Daignosis Equipment (AREA)

Abstract

L'invention concerne un procédé servant à indiquer l'état de croissance pédiatrique d'un patient sur la base d'une valeur indicatrice combinée unique. Cette valeur est obtenue par la prise de mesures de poids, de hauteur et de périmètre crânien, ces mesures étant utilisées pour calculer un ensemble de valeurs de percentile pondérées moyennes lentes et un ensemble de valeurs de percentile pondérées moyennes rapides, calculer un ensemble de valeurs de différence à partir des différences entre les valeurs de percentile pondérées moyennes rapides et lentes, calculer un ensemble de valeurs augmentées de poids, de hauteur et de périmètre crânien à partir des valeurs de différence et calculer une valeur indicatrice combinée unique à partir de l'ensemble des valeurs augmentées de poids, de hauteur et de périmètre crânien.
PCT/IB2008/053562 2007-11-13 2008-09-03 Procédé de suivi de développement pédiatrique Ceased WO2009063339A2 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
IL205139A IL205139A0 (en) 2007-11-13 2010-04-15 Method for following pediatric development

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US276807P 2007-11-13 2007-11-13
US61/002,768 2007-11-13

Publications (2)

Publication Number Publication Date
WO2009063339A2 true WO2009063339A2 (fr) 2009-05-22
WO2009063339A3 WO2009063339A3 (fr) 2009-12-23

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Family Applications (1)

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PCT/IB2008/053562 Ceased WO2009063339A2 (fr) 2007-11-13 2008-09-03 Procédé de suivi de développement pédiatrique

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IL (1) IL205139A0 (fr)
WO (1) WO2009063339A2 (fr)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113017311A (zh) * 2021-03-03 2021-06-25 吕瑞 智能学习桌以及智能学习桌的成长监测方法
CN120356633A (zh) * 2025-06-24 2025-07-22 青岛宝迈得生物科技有限公司 一种基于移动互联网的产后随访信息跟踪管理方法及系统

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5214580A (en) * 1990-06-27 1993-05-25 Hewlett-Packard Company Process for identifying discrete data representative of an input sample stream
US6826626B1 (en) * 2000-07-21 2004-11-30 Clear Blue Technologies Management, Inc. Method of and apparatus for rapid retrieval of data in a content distribution network
US20060287891A1 (en) * 2005-06-16 2006-12-21 Cerner Innovation, Inc. System and method in a computerized environment for charting pediatric growth

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113017311A (zh) * 2021-03-03 2021-06-25 吕瑞 智能学习桌以及智能学习桌的成长监测方法
CN120356633A (zh) * 2025-06-24 2025-07-22 青岛宝迈得生物科技有限公司 一种基于移动互联网的产后随访信息跟踪管理方法及系统

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Publication number Publication date
IL205139A0 (en) 2010-11-30
WO2009063339A3 (fr) 2009-12-23

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