Perioperative fluid dynamics evaluated by bioelectrical impedance analysis predict infectious surgical complications after esophagectomy

Factors Associated with Perioperative Edema in Patients with Stage I Gastric Cancer Using a Body Composition Analyzer

PURPOSE

Assessment of nutritional status and nutritional interventions is important in gastric cancer patients. We investigated the factors associated with perioperative edema in patients with stage I gastric cancer using a body composition analyzer.

METHODS

The study included 106 patients with stage I gastric cancer who underwent distal gastrectomy. The body composition of each patient was evaluated by bioelectrical impedance analysis (BIA) using an InBody 720 body composition analyzer. Patients with an extracellular water to total body water ratio of ≥ 0.4 before and 1 week after gastrectomy were considered to have edema, the cause of which was determined retrospectively.

RESULTS

Patients with preoperative edema were significantly older, had a significantly higher lymph node metastasis rate and disease stage, and had a significantly poorer Controlling Nutritional Status (CONUT) score, and Prognostic Nutritional Index (PNI) compared with patients without preoperative edema. The group with postoperative edema had significantly higher proportions of elderly and female patients as well as a higher rate of Billroth-II reconstruction compared with the group without postoperative edema. The group with postoperative edema also had significantly lower intracellular water content, total body water content, protein content, skeletal muscle mass, and PNI.

CONCLUSIONS

Preoperative edema occurs in elderly patients with poor nutritional status, and postoperative edema occurs in elderly patients with a shorter operative time. Perioperative edema status assessed by BIA is thought to be related to perioperative nutritional status.

Extracellular water to total body water ratio, a novel predictor of recurrence in patients with colorectal cancer

Background

Total body water (TBW) fraction, which accounts for 60% of body weight, is an important indicator of body composition, and the extracellular water to TBW ratio (ECW/TBW) is reportedly useful in predicting clinical outcomes of patients with organ disorders. We aimed to clarify the clinical impact of preoperative ECW/TBW status on survival outcomes in cancer patients.

Methods

We used a database of 320 colorectal cancer (CRC) patients who underwent potentially curative resections. Preoperative ECW/TBW was measured using a bioelectrical impedance analysis (BIA), and its correlation with patient survival outcomes, clinicopathological factors, laboratory data, and comorbidities were analyzed.

Results

A high preoperative ECW/TBW was significantly associated with poorer relapse-free survival (RFS; p = 0.001) and overall survival (OS; p = 0.003). A high ECW/TBW ratio was significantly associated with older age (p < 0.001), low BMI (p = 0.009), and right-sided tumors (p = 0.03). In a multivariate analysis, a high ECW/TBW significantly predicted a higher RFS mortality (HR: 2.07, 95% CI: 1.10-3.88, p = 0.024) and OS mortality (HR: 3.23, 95% CI: 1.25-8.36, p = 0.016). Furthermore, a high ECW/TBW was significantly associated with lower hemoglobin (p < 0.001) and albumin levels (p < 0.001), but not comorbidities.

Conclusions

A high preoperative ECW/TBW was a predictive factor for recurrence and poorer overall survival independent of the tumor, node, and metastasis (TNM) stage. Our data suggest that preoperative evaluation of ECW/TBW using BIA might serve as a novel tool for developing CRC treatment strategies.

Bioelectrical Impedance Spectroscopy for Monitoring Mammalian Cells and Tissues under Different Frequency Domains: A Review

Bioelectrical impedance analysis and bioelectrical impedance spectroscopy (BIA/BIS) of tissues reveal important information on molecular composition and physical structure that is useful in diagnostics and prognostics. The heterogeneity in structural elements of cells, tissues, organs, and the whole human body, the variability in molecular composition arising from the dynamics of biochemical reactions, and the contributions of inherently electroresponsive components, such as ions, proteins, and polarized membranes, have rendered bioimpedance challenging to interpret but also a powerful evaluation and monitoring technique in biomedicine. BIA/BIS has thus become the basis for a wide range of diagnostic and monitoring systems such as plethysmography and tomography. The use of BIA/BIS arises from (i) being a noninvasive and safe measurement modality, (ii) its ease of miniaturization, and (iii) multiple technological formats for its biomedical implementation. Considering the dependency of the absolute and relative values of impedance on frequency, and the uniqueness of the origins of the α-, β-, δ-, and γ-dispersions, this targeted review discusses biological events and underlying principles that are employed to analyze the impedance data based on the frequency range. The emergence of BIA/BIS in wearable devices and its relevance to the Internet of Medical Things (IoMT) are introduced and discussed.

Comparison between two solute equations and bioimpedance for estimation of body fluid volumes

Background

The extracellular volume (ECV) and intracellular volume (ICV) estimated by bioimpedance analysis (BIA) deviates markedly from the textbook volumes of 20% and 40% of the body weight (BW). We estimated the transcellular exchange of water by calculating solute equilibriums after fluid challenges to examine whether the BIA or the textbook volumes are likely to be most correct.

Methods

Data was retrieved from 8 healthy male volunteers who received 25 mL/kg of Ringer’s solution or 3–5 mL/kg of hypertonic (7.5%) saline over 30 min after the ECV and ICV had been estimated by BIA. The exchange of water between the ECV and the ICV was calculated according to a sodium equation and an osmolality equation. Simulations were performed, where deviating body fluid volumes were applied.

Results

The mean ECV measured with BIA was 24.9% of BW (p < 0.05 versus the “textbook” volume). Mean ICV measured with BIA was 22.3% of BW (p < 0.05). The sodium and osmolality equations correlated closely with respect to the translocation of water across the cell membrane (r² = 0.86). By applying the “textbook” ECV, the sodium equation indicated that Ringer’s solution exchanged negligible amounts of water, while hypertonic saline withdrew 1.4 L from the ICV to the ECV. By contrast, applying the BIA-derived ECV to the sodium equation implied that 3 L of water would be translocated from the ECV to the ICV once hypertonic saline was administered.

Conclusion

The “textbook” ECV and ICV volumes but not the BIA-derived volumes were consistent with the fluid shifts obtained by two solute equations.

Applied nutritional investigation The clinical application value of the extracellular-water-to-total-body-water ratio obtained by bioelectrical impedance analysis in people with advanced cancer

OBJECTIVES

Body-composition analysis using bioelectrical impedance analysis is gradually becoming more widely used in clinical practice. The ratio of extracellular water (ECW) to total body water (TBW) is thought to be related to the prognosis of a variety of diseases. However, its performance in people with advanced cancer deserves further discussion.

METHODS

A retrospective analysis was performed on 784 people with advanced cancer. Anthropometric indicators, serologic indicators, nutritional status, health-related quality of life, and body composition were analyzed. Participants were grouped into two groups according to ECW/TBW ratio. We used t tests and χ² tests to analyze differences between the groups. Univariate and multivariate Cox regressions were conducted to analyze the factors influencing overall survival. Logistic regression was used to analyze the related factors of malnutrition, and linear regression for factors of health-related quality of life.

RESULTS

Age, body mass index, Patient-Generated Subjective Global Assessment score, Karnofsky Performance Status questionnaire score, skeletal muscle mass index, and fat-free mass index were statistically different between the non-overhydrated and overhydrated groups. Univariate and multivariate Cox regression models showed that an ECW/TBW ≥ 0.40 is a risk factor for poor prognosis in people with advanced cancer (hazard ratio = 1.511; 95% confidence interval, 1.103-2.070; P = 0.010). Subgroup analyses were next conducted according to tumor type, with ECW/TBW ≥ 0.40 emerging as a risk factor for poor prognosis for people with advanced breast cancer and advanced gastric cancer. Logistic regression showed that ECW/TBW ≥ 0.40 is a risk factor for malnutrition in people with advanced cancer (odds ratio = 1.988; 95% confidence interval, 1.049-3.767; P = 0.035). The univariate and multivariate linear regression models showed that the ECW/TBW ratio is an influencing factor for health-related quality of life in the domains of physical functioning, role functioning, and constipation.

CONCLUSION

We found that in people with cancer, an ECW/TBW ≥ 0.40 was a risk factor for malnutrition and lower health-related quality of life, and in people with advanced cancer, it was a risk factor for poor prognosis.