Clinical Knowledge Supported Acute Kidney Injury (AKI) Risk Assessment Model for Elderly Patients

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Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/49487

Title:	Clinical Knowledge Supported Acute Kidney Injury (AKI) Risk Assessment Model for Elderly Patients
Authors:	Shen, KY (Shen, Kao-Yi) Chuang, YC (Chuang, Yen-Ching) Tung, TH (Tung, Tao-Hsin)
Contributors:	財金系
Keywords:	acute kidney injury (AKI) geriatric frailty meta-analysis multiple criteria decision-making (MCDM) group decision
Date:	2021
Issue Date:	2021-04-19 10:18:43 (UTC+8)
Abstract:	From the clinical viewpoint, the statistical approach is still the cornerstone for exploring many diseases. This study was conducted to explore the risk factors related to acute kidney injury (AKI) for elderly patients using the multiple criteria decision-making (MCDM) approach. Ten nephrologists from a teaching hospital in Taipei took part in forming the AKI risk assessment model. The key findings are: (1) Comorbidity and Laboratory Values would influence Comprehensive Geriatric Assessment; (2) Frailty is the highest influential AKI risk factor for elderly patients; and (3) Elderly patients could enhance their daily activities and nutrition to improve frailty and lower AKI risk. Furthermore, we illustrate how to apply MCDM methods to retrieve clinical experience from seasoned doctors, which may serve as a knowledge-based system to support clinical prognoses. In conclusion, this study has shed light on integrating multiple research approaches to assist medical decision-making in clinical practice.
Relation:	INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 卷冊: 18 期: 4 文獻號碼: 1607
Appears in Collections:	[Department of Banking & Finance ] periodical articles

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