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Method for the early identification of recurrences of chronic obstructive pulmonary disease

A technology for chronic obstructive pulmonary disease, applied in the fields of drug devices, complex mathematical operations, applications, etc., can solve problems such as patients with unproven COPD

Active Publication Date: 2020-06-12
理思科技有限责任公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The studies have not demonstrated sufficient effect in improving the management of patients with COPD during relapses (Ringbaek et al., 2015; Vianello et al., 2016)

Method used

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  • Method for the early identification of recurrences of chronic obstructive pulmonary disease
  • Method for the early identification of recurrences of chronic obstructive pulmonary disease
  • Method for the early identification of recurrences of chronic obstructive pulmonary disease

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Embodiment Construction

[0018] With reference to accompanying drawing, a kind of method for the recurrence of chronic obstructive pulmonary disease (Chronic Obstructive Pulmonary Disease, COPD) according to the present invention, comprises steps: start 10 procedures; With a predetermined time frequency, by forced oscillation technique ( forced oscillation technique, FOT), measure 11 a certain number of multiple parameters that define a patient's lung function and breathing pattern; for each available new measurement, collect 12 measured parameters to form their corresponding time series; verifying 13 whether the adaptation period from the start of said time series has ended, i.e. evaluating whether the number of collected measurements is higher than a first predefined number, if not, starting again from said start 10; if so, then Eliminate 14 outliers; verify 15 whether the measured quantity (eliminated outliers) in a given time interval is higher than a predefined quantity, if not, start again from t...

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Abstract

A method for the early identification of recurrences of chronic obstructive pulmonary disease comprising the following steps: measuring, with a predefined time frequency, a plurality of parameters that define the pulmonary function of a patient by means of the forced oscillation technique (FOT); calculating the trend of said plurality of parameters in a predefined time period; identifying an impending recurrence by comparing the parameters describing said trend of said plurality of parameters with predefined thresholds; where the step of calculating the trend of said plurality of parameters isachieved by calculation of an N order polynomial regression model; and the step of identifying an impending recurrence by comparing said parameters describing said trend with predefined thresholds comprises the step of comparing at least one coefficient of the N order polynomial regression with predefined thresholds.

Description

technical field [0001] The present invention relates to a method for the early identification of relapses in patients with chronic obstructive pulmonary disease. Background technique [0002] Chronic obstructive pulmonary disease (COPD) is a chronic respiratory disease characterized by persistent symptoms such as dyspnea, chronic cough and sputum production, and persistent airflow obstruction (GOLD, 2017). Common risk factors include prolonged exposure to noxious particles and / or gases, such as cigarette smoke. Progression in COPD is characterized by stable periods interrupted by relapses, i.e. acute exacerbations of symptoms and underlying inflammatory processes, which in the most severe cases may require hospitalization (Vogelmeier et al., 2017). [0003] The frequency of recurrent episodes has a major impact on the patient's clinical history, accelerated lung decline, increased risk of death, decreased quality of life, and increased social and economic costs associated w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/085A61B5/00A61M16/00
CPCA61B5/085A61B5/7275A61M2016/0027A61M2016/0036A61M2230/46A61M16/0006A61M16/026G16H50/30A61B5/0803A61B5/0816G06F17/18
Inventor 亚历山德罗·戈比帕斯奎尔·皮奥·蓬皮利奥拉斐尔·德拉卡
Owner 理思科技有限责任公司
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