Bioelectrical Impedance Vector Analysis for Nutritional Status Assessment in Systemic Sclerosis and Association With Disease Characteristics

Bioelectrical impedance vector analysis is different according to the comorbidity burden in post-acute myocardial infarction

BACKGROUND

The prevalence of a high comorbidity burden in patients who suffered an acute myocardial infarction (AMI) is increasing with the aging population, and the nutrition status also may be a predictor of clinical outcomes for these patients. This study aimed to investigate the relationship between the comorbidity burden and the characteristics of the bioelectrical impedance vector analysis (BIVA) in patients post-AMI.

METHODS

This prospective observational cohort study was conducted with adult patients who were hospitalized with AMI. Pre-existing comorbidities were assessed by the Charlson comorbidity index (CCI) adjusted by age, and anthropometric and BIVA characteristics were evaluated after the hemodynamic stabilization. All patients were followed-up until hospital discharge, and their length of stay was observed.

RESULTS

A total of 184 patients (75% were males; mean age, 60.2 ± 12.3 years) were included. The most common comorbidities were dyslipidemia (73.9%), hypertension (62%), and type 2 diabetes (34.2%). A higher CCI (≥3) was associated with sex (P = 0.008) and age (P < 0.001). Regarding BIVA, statistically significant differences were detected between sex (P < 0.001), age (P < 0.001), and CCI (P = 0.003), with longer vectors in female, older adults, and those with CCI ≥ 3.

CONCLUSION

Finding a relationship between BIVA and CCI suggests the first identified coherent differences, potentially correlated with diseases, representing a first contribution to support this type of assessment. Therefore, with BIVA, healthcare professionals may monitor abnormalities and adopt preventive nutrition care measures on patients post-AMI to improve their clinical status.

Body composition parameters in systemic sclerosis-a systematic review and meta-analysis

BACKGROUND

The aim of this systematic review and meta-analysis was to summarize current evidence regarding body composition (BC) in SSc in order to gain new insights and improve clinical care in the context of the nutritional status of SSc patients.

METHODS

The databases Web of Science, PubMed, Scopus and Cochrane Library were searched on 4 January 2023. Studies were included if they provided data regarding BC obtained by dual-energy X-ray absorptiometry (DXA) or bioelectrical impedance analysis (BIA) in patients with SSc and healthy controls (HC). The study design criteria for inclusion were cohort and observational studies. The risk of bias assessment was performed using the Newcastle-Ottawa scale. For meta-analysis, mean difference with a 95% confidence interval was obtained and all results were depicted as forest plots.

RESULTS

The number of retrieved publications was 593, of which nine were included in a random-effects meta-analysis totalling 489 SSc patients and 404 HC. Overall, significantly lower body mass index, lean mass (LM), fat mass (FM) and phase angle values were found in SSc patients when compared with HC. Furthermore, FM and LM were significantly lower in SSc patients when the DXA method was applied, whereas the same parameters were comparable between two groups of participants when BIA was applied.

CONCLUSION

Altered BC is characteristic of SSc patients indicating the need for regular nutritional status assessment in order to improve the quality of life and clinical care of patients with SSc.

Phase angle, nutritional status, and mortality in systemic sclerosis: An exploratory pilot study

OBJECTIVES

Systemic sclerosis (SSc) is a rare autoimmune disease characterized by microvascular damage and fibrosis of the skin and internal organs. Among SSc complications, changes in nutritional status have a negative effect on quality of life and predispose patients to malnutrition. The aim of this exploratory pilot study was to examine whether bioelectrical impedance analysis-derived phase angle (PhA) is a parameter of nutritional status and a marker of mortality in patients with SSc.

METHODS

Consecutive adult patients with SSc were included in the study. Biochemical analyses, anthropometric data, and bioelectrical impedance analysis assessments were recorded at the time of enrollment. The Malnutrition Universal Screening Tool (MUST) and Global Leadership Initiative on Malnutrition (GLIM) were applied to assess nutritional status.

RESULTS

A total of 104 patients with SSc (88 women; median age: 55 y [interquartile range (IQR), 45.5- 66 y]) were enrolled. In patients with SSc and high malnutrition risk according to MUST, mean values of PhA were significantly lower than those of patients with SSc and low malnutrition risk (4° [IQR, 3.7°-4.4°] vs 4.6° [IQR, 4.2°-5.1°]; P = 0.004). Patients with SSc and malnutrition according to the GLIM criteria showed significantly lower PhA than patients with SSc but without malnutrition (3.8° [IQR, 3.5°-4.3°] vs 4.6° [IQR, 4.2°-5.1°]; P < 0.0001). Kaplan-Meier curves demonstrated that overall survival was significantly shorter (34.57 mo [±13.35] vs 48 mo [±0]; P = 0.001) in patients with SSc and PhA <3.75°. In the multivariate analysis, only PhA was a predictive factor for death (hazard ratio: 0.283; 95% confidence interval, 0.083-0.965; P = 0.044).

CONCLUSIONS

The data obtained suggest that lower PhA values in patients with SSc are associated with an increased malnutrition risk with MUST, malnutrition with GLIM, and increased mortality. Additional studies are necessary to confirm these preliminary results.