Automated cohort database system for cardiopulmonary physiotherapy: A comprehensive tool supporting research on cardiac surgery patients—framework design, development and validation

IF 4.9 2区医学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer methods and programs in biomedicine Pub Date : 2025-05-02 DOI:10.1016/j.cmpb.2025.108825

Xiang Liu , Yuqiang Wang , Zeruxin Luo , Tingting Xi , Wei Huang , Xiu Zhang , Tingqian Cao , Pengming Yu , Yingqiang Guo

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引用次数: 0

Abstract

Background

The shared goal of clinical physicians and cardiopulmonary physiotherapists is to tailor optimal comprehensive rehabilitation strategies for each patient undergoing cardiac surgery to improve outcomes. The sustained and large-scale acquisition of patient course and rehabilitation treatment-related data faces numerous challenges. This necessitates research and analysis based on large sample size data from cardiac surgery patients.

Objective

The Cardiopulmonary Physiotherapists Database System (CPPTherapists-DBS) was developed to enhance the management and analysis of data for researching risk factors associated with postoperative pulmonary complications (PPCs) in cardiac surgery patients. This system aims to establish comprehensive system design standards, frameworks, and validation procedures to support research in both cardiac surgery and cardiopulmonary physiotherapy.

Methods

The development of the CPPTherapists-DBS involved: (1) establishing system design standards and frameworks through a detailed software engineering requirements analysis, where clinical researchers defined data collection standards, business scope, and identification rules based on international guidelines and previous research; (2) designing and developing the system to integrate advanced functionalities for data management and analysis within the established frameworks; (3) validating the system by constructing a retrospective cohort for PPCs and developing and evaluating a predictive model based on the collected data.

Results

The CPPTherapists-DBS successfully established design standards and frameworks for system development. It has collected clinical data from 27,027 cardiac surgery patients across multiple medical centers from 2010 to 2021. Since January 2022, it has also included physical rehabilitation treatment records for 5,335 patients. The system’s CCVPRA tool provides advanced visualization capabilities, enabling rapid data modeling for 6,608 patients and development of a predictive model for PPCs. The model demonstrated strong performance with an AUC of 0.78 in the training set and 0.76 in the testing set.

Conclusions

The CPPTherapists-DBS effectively automates the collection and management of clinical and rehabilitation data, adhering to established system design standards and frameworks. It offers powerful tools for data visualization and modeling, representing a significant advancement in cohort database systems and providing a replicable model for supporting research on cardiac surgery patients and cardiopulmonary physiotherapy.

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心肺物理治疗自动化队列数据库系统：支持心脏手术患者研究的综合工具-框架设计，开发和验证

临床医生和心肺物理治疗师的共同目标是为每位接受心脏手术的患者量身定制最佳的综合康复策略，以改善预后。持续和大规模获取患者病程和康复治疗相关数据面临许多挑战。这需要基于心脏手术患者的大样本数据进行研究和分析。目的建立心肺物理治疗师数据库系统（CPPTherapists-DBS），以加强对心脏手术患者术后肺部并发症（PPCs）相关危险因素的数据管理和分析。该系统旨在建立全面的系统设计标准、框架和验证程序，以支持心脏外科和心肺物理治疗的研究。方法CPPTherapists-DBS的开发涉及：(1)通过详细的软件工程需求分析，建立系统设计标准和框架，临床研究人员根据国际指南和先前的研究定义数据收集标准、业务范围和识别规则；(2)设计和开发系统，在既定框架内集成先进的数据管理和分析功能；(3)通过构建PPCs回顾性队列，并基于收集的数据开发和评估预测模型来验证该系统。结果CPPTherapists-DBS成功建立了系统开发的设计标准和框架。它收集了2010年至2021年多个医疗中心的27027名心脏手术患者的临床数据。自2022年1月以来，还收录了5335名患者的身体康复治疗记录。该系统的CCVPRA工具提供了先进的可视化功能，能够为6608名患者进行快速数据建模，并为PPCs开发预测模型。该模型在训练集的AUC为0.78，在测试集的AUC为0.76，表现出较强的性能。结论CPPTherapists-DBS系统能够有效地自动收集和管理临床和康复数据，并遵循既定的系统设计标准和框架。它为数据可视化和建模提供了强大的工具，代表了队列数据库系统的重大进步，并为心脏手术患者和心肺物理治疗的支持研究提供了可复制的模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer methods and programs in biomedicine 工程技术-工程：生物医学

CiteScore

12.30

自引率

6.60%

发文量

601

审稿时长

135 days

期刊介绍： To encourage the development of formal computing methods, and their application in biomedical research and medical practice, by illustration of fundamental principles in biomedical informatics research; to stimulate basic research into application software design; to report the state of research of biomedical information processing projects; to report new computer methodologies applied in biomedical areas; the eventual distribution of demonstrable software to avoid duplication of effort; to provide a forum for discussion and improvement of existing software; to optimize contact between national organizations and regional user groups by promoting an international exchange of information on formal methods, standards and software in biomedicine. Computer Methods and Programs in Biomedicine covers computing methodology and software systems derived from computing science for implementation in all aspects of biomedical research and medical practice. It is designed to serve: biochemists; biologists; geneticists; immunologists; neuroscientists; pharmacologists; toxicologists; clinicians; epidemiologists; psychiatrists; psychologists; cardiologists; chemists; (radio)physicists; computer scientists; programmers and systems analysts; biomedical, clinical, electrical and other engineers; teachers of medical informatics and users of educational software.