Applications of Bioelectrical Impedance Analysis in Diagnosis of Diseases: A Systematic Review
Introduction: Bioelectrical Impedance Analysis (BIA) is a safe, non-invasive, painless, portable, and inexpensive technology that has the prospect to provide information related to the dynamic performance of the human body. Body Composition (BC) assessment is widely accepted as a clinical method...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JCDR Research and Publications Private Limited
2021-07-01
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| Series: | Journal of Clinical and Diagnostic Research |
| Subjects: | |
| Online Access: | https://jcdr.net/articles/PDF/15113/46662_CE[Ra1]_F[IK]_PF1(AGSK)_PFA(KM)_PB(AG_KM)_PN(KM).pdf |
| Summary: | Introduction: Bioelectrical Impedance Analysis (BIA) is a safe,
non-invasive, painless, portable, and inexpensive technology
that has the prospect to provide information related to the
dynamic performance of the human body. Body Composition
(BC) assessment is widely accepted as a clinical method to
diagnose and evaluate disease status.
Aim: To predict and validate the applicability of BIA in diagnosis
of diseases such as Chronic Kidney Disease (CKD), Chronic
Obstructive Pulmonary Disease (COPD), Heart Failure (HF),
Pregnancy and Spinal Cord Injury (SCI).
Materials and Methods: A systematic clinical review was
conducted following the PRISMA guidelines {PubMed, The
Cochrane Archive, Web of Research, Medline, and SPORTDiscus
with complete text (EBSCO)}. A literature review was carried out
randomly, from 2000 to 2018, published in English; the keyword
combinations were evaluated using Boolean operators “OR”
and “AND” for BIA, CKD, COPD, HF, Pregnancy, SCI.
Results: A total of 1156 search terms, 1139 citations were
excluded, and 17 potentially qualifying articles were shortlisted.
Hence, as per the inclusion criteria, three articles on COPD,
three articles on CKD, three articles on pregnancy, four articles
on HF, and four SCI articles were shortlisted.
Conclusion: The calculated BIA parameters showed that the
patient’s actual health could be analysed quickly to monitor
the disease progression and provide significant advances in
developing therapies for the diseases. However, this paper
recommends further study on BIA to improve a clinical
assessment of BC. |
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| ISSN: | 2249-782X 0973-709X |