# Systematic Nutritional Clinical Assessment (SyNCA): Instrument Development, Delphi Protocol for Content, and Semantic Validation

**Authors:** Rosangela Passos de Jesus, Lucivalda Pereira Magalhães de Oliveira, Carla de Magalhães Cunha, Ramona Souza da Silva Baqueiro Boulhosa, Ana Carolina Braga Porto Ricci, Monalisa Reis Arruda, Ana Clara Vital Batista, Ketsia Meneses Souza Santos, Ketlin Gianini Pereira, Fernando Gomes Romeiro, Andre de Castro Lyra, Allain Amador Bueno

PMC · DOI: 10.1111/jhn.70235 · Journal of Human Nutrition and Dietetics · 2026-03-24

## TL;DR

This study developed and validated a new low-cost tool called SyNCA to assess malnutrition in patients with chronic liver disease, especially where traditional methods are impractical.

## Contribution

The paper introduces SyNCA, a validated, low-cost nutritional assessment tool for DCLD patients with fluid retention issues.

## Key findings

- SyNCA showed strong content and semantic validity after expert review.
- Moderate correlations were found between SyNCA scores and muscle-related metrics like arm circumference and handgrip strength.
- SyNCA is a reliable alternative in resource-limited settings or where traditional methods are not feasible.

## Abstract

Malnutrition is a common complication in patients with chronic diseases, often exacerbated by clinical factors and increased metabolic demands. In individuals affected by Decompensated Chronic Liver Disease (DCLD), fluid retention, such as oedema and ascites, can hinder accurate nutritional assessment, leading to underdiagnosis or misdiagnosis of weight loss and malnutrition. The present study describes the development and validation of a novel tool for Systematic Nutritional Clinical Assessment (SyNCA), including its content, semantic, and construct validity.

In Phase 1, the Delphi protocol was employed to evaluate SyNCA content and semantic validity with input from clinical nutrition experts and resident nutritionists. Phase 2 involved a cross‐sectional, multicentre study of DCLD hospitalised patients to assess construct validity. SyNCA outcomes were compared with established nutritional assessment methods including anthropometry, handgrip strength (HGS), and dual‐energy X‐ray absorptiometry (DEXA). Correlations were analysed using Pearson or Spearman coefficients.

Following expert review in Phase 1, out of the 18 items initially proposed across five anatomical regions, 14 items were retained in the final SyNCA instrument. In Phase 2, data from 136 hospitalised DCLD patients revealed moderate correlations between SyNCA scores and arm muscle circumference (r = −0.567, p < 0.0001), HGS (r = −0.376, p < 0.0001), and Appendicular Muscle Mass Index (r = −0.502, p < 0.001), supporting construct validity.

SyNCA demonstrated strong content, semantic, and construct validity, demonstrating its potential as a reliable clinical tool for nutritional assessment in DCLD hospitalised patients, and particularly welcomed in clinical settings with limited resources or where traditional methods are impractical.

The presence of oedema and ascites impairs nutritional assessment due to fluid retention, leading to the underdiagnosis of malnutrition and weight loss in affected patients.We developed and undertook content and semantic validation using the Delphi protocol (Phase 1), and construct validation (Phase 2), of a low‐cost instrument for Systematic Nutritional Clinical Assessment (SyNCA).Phase 2 was a multicentre study involving 136 patients with decompensated chronic liver disease, assessed using SyNCA, anthropometry, Handgrip Strength (HGS), and Dual‐Energy X‐ray Absorptiometry.SyNCA demonstrated strong content and semantic validity, alongside moderate correlations between its scores and mid‐upper arm muscle circumference, HGS, and Appendicular Skeletal Muscle Mass Index.SyNCA may serve as a reliable clinical tool for nutritional assessment of hospital inpatients, particularly in resource‐limited settings or where traditional objective methods are unfeasible or prohibitively costly.

The presence of oedema and ascites impairs nutritional assessment due to fluid retention, leading to the underdiagnosis of malnutrition and weight loss in affected patients.

We developed and undertook content and semantic validation using the Delphi protocol (Phase 1), and construct validation (Phase 2), of a low‐cost instrument for Systematic Nutritional Clinical Assessment (SyNCA).

Phase 2 was a multicentre study involving 136 patients with decompensated chronic liver disease, assessed using SyNCA, anthropometry, Handgrip Strength (HGS), and Dual‐Energy X‐ray Absorptiometry.

SyNCA demonstrated strong content and semantic validity, alongside moderate correlations between its scores and mid‐upper arm muscle circumference, HGS, and Appendicular Skeletal Muscle Mass Index.

SyNCA may serve as a reliable clinical tool for nutritional assessment of hospital inpatients, particularly in resource‐limited settings or where traditional objective methods are unfeasible or prohibitively costly.

## Linked entities

- **Diseases:** malnutrition (MONDO:0006873)

## Full-text entities

- **Genes:** FAT1 (FAT atypical cadherin 1) [NCBI Gene 2195] {aka CDHF7, CDHR8, FAT, ME5, hFat1}
- **Diseases:** rheumatologic conditions (MESH:D020763), fat loss (MESH:D004620), Ascites (MESH:D001201), AMMI (MESH:D001259), cirrhosis (MESH:D005355), weight loss (MESH:D015431), cancer (MESH:D009369), chronic diseases (MESH:D002908), loss (MESH:D016388), pulmonary tuberculosis (MESH:D014397), fluid (MESH:D002559), DCLD (MESH:D008107), Metabolic Dysfunction-Associated Steatosis Liver Disease (MESH:D005234), hepatic cirrhosis (MESH:D008103), oedema (MESH:C536897), fluid retention (MESH:D016055), AMC (MESH:D001134), Malnutrition (MESH:D044342), diseases (MESH:D004194), End-stage Liver Disease (MESH:D058625), sarcopenia (MESH:D055948), heart disease (MESH:D006331), muscle wasting (MESH:D009133), muscle depletion (MESH:D019042), micronutrient deficiencies (MESH:D007153), acquired immunodeficiency syndrome (MESH:D000163)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13013094/full.md

## References

53 references — full list in the complete paper: https://tomesphere.com/paper/PMC13013094/full.md

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Source: https://tomesphere.com/paper/PMC13013094