Mortality in adult patients with fluid overload evaluated by BIVA upon admission to the emergency department.

PURPOSE OF THE STUDY: The aim of this study was to investigate the association of fluid overload, measured by bioelectrical impedance vector analysis (BIVA) and also by accumulated fluid balance, with 30-day mortality rates in patients admitted to the emergency department (ED). DESIGN: We conducted a prospective observational study of fluid overload using BIVA, taking measures using a multiple-frequency whole-body tetrapolar equipment. Accumulated fluid balances were obtained at 24, 48 and 72 hours from ED admission and its association with 30-day mortality. PATIENTS: 109 patients admitted to the ED classified as fluid overloaded by both methods. RESULTS: According to BIVA, 71.6% (n=78) of patients had fluid overload on ED admission. These patients were older and had higher Sequential Organ Failure Assessment scores. During a median follow-up period of 30 days, 32.1% (n=25) of patients with fluid overload evaluated by BIVA died versus none with normovolaemia (p=0.001). There was no statistically significant difference in mortality between patients with and without fluid overload as assessed by accumulated fluid balance (p=0.81). CONCLUSIONS: Fluid overload on admission evaluated by BIVA was significantly related to mortality in patients admitted to the ED.

Clinical Application of Phase Angle and BIVA Z-Score Analyses in Patients Admitted to an Emergency Department with Acute Heart Failure.

Acute heart failure is characterized by neurohormonal activation, which leads to sodium and water retention and causes alterations in body composition, such as increased body fluid congestion or systemic congestion. This condition is one of the most common reasons for hospital admission and has been associated with poor outcomes. The phase angle indirectly measures intracellular status, cellular integrity, vitality, and the distribution of spaces between intracellular and extracellular body water. This parameter has been found to be a predictor of health status and an indicator of survival and other clinical outcomes. In addition, phase angle values of <4.8° upon admission were associated with higher mortality in patients with acute heart failure. However, low phase angle values may be due to alterations-such as the shifting of fluids from an intracellular body water (ICW) compartment to an ECW (extracellular body water) compartment and a concurrent decrease in body-cell mass (which can reflect malnutrition)-that are present in heart failure. Thus, a low phase angle may be due to overhydration and/or malnutrition. BIVA provides additional information about the body-cell mass and congestion status with a graphical vector (R-Xc graph). In addition, a BIVA Z-score analysis (the number of standard deviations from the mean value of the reference group) that has the same pattern as that of the ellipses for the percentiles on the original R-Xc graph can be used to detect changes in soft-tissue mass or tissue hydration and can help researchers compare changes in different study populations. This protocol explains how to obtain and interpret phase angle values and BIVA Z-score analyses, their clinical applicability, and their usefulness as a predictive marker for the prognosis of a 90-day event in patients admitted to an emergency department with acute heart failure.

Impact of a multicomponent integrated care delivery program on diabetes care goals achievement: a primary care quality improvement initiative.

AIM: To evaluate the impact of multicomponent integrated care (MIC) delivery program in a primary care real-life setting on diabetes care goals. METHODS: Patients with T2D and usual primary care from the public health system in Mexico were invited to participate in a five-month ambulatory MIC quality initiative (DIAbetes Empowerment and Improvement of Care program, DIABEMPIC). RESULTS: 841 patients who finished the program and with complete data were analyzed. The patients had a mean decrease in hemoglobin A1c, systolic and diastolic pressure, and LDL-cholesterol of 2.4%, 9 mmHg, 3 mmHg, and 22.5 mg/dL, respectively (p < 0.001). The achievement of the optimal triple target goal increased from 1.8% to 26.7% (p < 0.001). In the adjusted analysis, the diabetes knowledge and global self-care behavior score post-intervention, as well as the increment of global self-care behavior score were associated with the optimal composite risk factor control achievement. CONCLUSION: The incorporation of diabetes therapeutic education interventions to improve self-care behaviors along with adequate treatment intensification in diabetes care are fundamental to attaining optimal risk factor control and attenuating disease burden.

Evaluation of Fluid Overload by Bioelectrical Impedance Vectorial Analysis.

Early detection and management of fluid overload are critically important in acute illness, as the impact of therapeutic intervention can result in decreased or increased mortality rates. Accurate fluid status assessment entails appropriate therapy. Unfortunately, as the gold standard method of radioisotopic fluid measurement is costly, time-consuming, and lacks sensitivity in the acute care clinical setting, other less-accurate methods are typically used, such as clinical examination or 24 h output. Bioelectrical impedance vectorial analysis (BIVA) is an alternative impedance-based approach, where the raw parameter resistance and reactance of a subject are plotted to produce a vector, the position of which can be evaluated relative to tolerance intervals in an R-Xc graph. The fluid status is then interpreted as normal or abnormal, based on the distance from the mean vector derived from a healthy reference population. The objective of the present study is to demonstrate how to evaluate the presence of fluid overload through bioelectrical impedance vectorial analysis and the impedance ratio measured with tetrapolar multi-frequency equipment in patients admitted to the emergency department.

Adherence to antidiabetic treatment in primary health care in individuals with type 2 diabetes. A survey including socio-demographic, patient related and clinical factors.

BACKGROUND: Adherence to medications is a critical element in diabetes management. OBJECTIVE: To investigate patient-related factors associated with adherence to antidiabetic treatment in patients with type 2 diabetes in primary health-care units. METHODS: A cross-sectional study among patients receiving diabetes care in 18 primary care units in Mexico City was conducted. Data were collected from medical records and medical interviews. Adherence to antidiabetic therapy and patient-related factors associated with adherence were evaluated through a self-administered questionnaire. Socio-demographic, clinical, behavioral (self-care activities including a healthy diet, exercise or physical activity, self-monitoring of blood glucose testing, and foot care), and patients-adherence-related factors (health-care provider-patient communication; daily and social activities, and support network; alternative treatment beliefs; comorbidity, diabetes symptoms, and treatment; side effects and treatment access) were compared between the adherent and non-adherent group. RESULTS: Of 319 outpatients, 48.3% were adherent to their antidiabetic therapy. In the adjusted analysis, patient-related factors associated to adherence were exercise and physical activity self-care behavior (OR=1.26; 95%CI 1.09-1.46), treatment interference with daily activities (OR=0.27; 95%CI 0.14-0.52), not satisfied with resolution of questions by the physician (OR=0.42; 95%CI 0.19-0.94), independently to increased cardiovascular risk and insulin treatment. CONCLUSION: A low proportion of outpatients with T2D with regular primary care were adherent to diabetes treatment and this was associated with patient-related factors like answering patients' treatment-related questions by the physician. This information may be useful to identify patients at risk for low adherence, and to guide the design of quality-of-care strategies, like diabetes education programs to address suboptimal adherence in patients, and health-care professional communication skills training, particularly in primary care health systems.

Bioimpedance vector analysis in stable chronic heart failure patients: Level of agreement between single and multiple frequency devices.

BACKGROUND & AIMS: The accuracy of estimating body composition compartments is critical in the clinical setting. Currently, there are different bioelectrical impedance analysis (BIA) devices available for obtaining raw BIA parameters. The aim of this study was to determine the level of agreement between multiple frequency (MF)-BIA and single frequency (SF)-BIA devices in obtaining raw BIA measurements (resistance (R), reactance (Xc), and phase angle (PhA)), as well as the agreement on the classification of hydration status and body cell mass by the bioelectrical impedance vector analysis (BIVA) method. METHODS: This cross-sectional study included 406 outpatients with stable chronic heart failure (HF). The raw BIA measurements at 50 kHz obtained by tetrapolar MF-BIA (Bodystat QuadScan 4000) were compared with those obtained by tetrapolar SF-BIA (RJL Quantum X). In addition, the patients were classified by their hydration status and body cell mass according to the BIVA method. RESULTS: Strong and significant correlations were observed between the two methods in all raw BIA variables (r ≥ 0.90). Lin's concordance correlation coefficient (CCC) values were almost perfect for R (CCC = 0.99; 95% CI 0.997 to 0.998), moderate for Xc (CCC = 0.93; 95% CI 0.92 to 0.94), and poor for PhA (CCC = 0.88; 95% CI 0.85 to 0.90). The agreement obtained in the two classifications (quadrants and hydration status) was >0.81. CONCLUSIONS: MF-BIA and SF-BIA demonstrated good agreement for measurement of the R parameter; however, the Xc and PhA parameters must be used carefully due to the previously reported variability. Likewise, the agreement in all classifications by the BIVA method was almost perfect.

[Not Available]. / Body composition changes assessed by bioelectrical impedance and their associations with functional class deterioration in stable heart failure patients.

BACKGROUND: Heart failure (HF) patients develop important changes in body composition, but only a small number of studies have evaluated the associations between these changes and functional class deterioration in a prospective manner. OBJECTIVE: The aim of this study was to evaluate whether changes in bioimpedance parameters were associated with NYHA functional class deterioration over six months. METHODS: A total of 275 chronic stable HF patients confirmed by echocardiography were recruited. Body composition measurements were obtained by whole body bioelectrical impedance with multiple frequency equipment (BodyStat QuadScan 4000). We evaluated functional class using the New York Heart Association (NYHA) classification at baseline and after six months. RESULTS: According to our results, 66 (24%) subjects exhibited functional class deterioration, while 209 improved or exhibited no change. A greater proportion of patients exhibited higher extracellular water (> 5%), and these patients developed hypervolemia, according to location on the resistance/reactance graph. A 5% decrease in resistance/height was associated with functional class deterioration with an OR of 1.42 (95% CI 1.01-2.0, p = 0.04). CONCLUSIONS: Body composition assessment through bioelectrical impedance exhibited a valuable performance as a marker of functional class deterioration in stable HF patients.

Body composition changes assessed by bioelectrical impedance and their associations with functional class deterioration in stable heart failure patients / Cambios en la composición corporal por impedancia bioeléctrica y su asociación con el deterioro de la capacidad funcional en pacientes con insuficiencia cardiaca crónica estable

Background: Heart failure (HF) patients develop important changes in body composition, but only a small number of studies have evaluated the associations between these changes and functional class deterioration in a prospective manner. Objective: The aim of this study was to evaluate whether changes in bioimpedance parameters were associated with NYHA functional class deterioration over six months. Methods: A total of 275 chronic stable HF patients confirmed by echocardiography were recruited. Body composition measurements were obtained by whole body bioelectrical impedance with multiple frequency equipment (BodyStat QuadScan 4000). We evaluated functional class using the New York Heart Association (NYHA) classification at baseline and after six months. Results: According to our results, 66 (24%) subjects exhibited functional class deterioration, while 209 improved or exhibited no change. A greater proportion of patients exhibited higher extracellular water (> 5%), and these patients developed hypervolemia, according to location on the resistance/reactance graph. A 5% decrease in resistance/height was associated with functional class deterioration with an OR of 1.42 (95% CI 1.01-2.0, p = 0.04). Conclusions: Body composition assessment through bioelectrical impedance exhibited a valuable performance as a marker of functional class deterioration in stable HF patients (AU)

Introducción: los pacientes con insuficiencia cardiaca (IC) desarrollan cambios importantes en la composición corporal; sin embargo, pocos estudios han evaluado prospectivamente la asociación entre estos cambios y el empeoramiento de la clase funcional en pacientes con IC crónica estable. Objetivo: el objetivo de este estudio fue evaluar si los cambios en los parámetros de la bioimpedancia estaban relacionados con el deterioro de la clase funcional de la clasificación de la New York Heart Association (NYHA) después de 6 meses. Métodos: se incluyeron 275 sujetos con IC crónica estable confirmada por ecocardiograma. Se les realizaron mediciones de composición corporal por impedancia bioeléctrica de cuerpo completo con un equipo de múltiples frecuencias BodyStat QuadScan 4000 y se determinó la clase funcional por la clasificación de la New York Heart Association (NYHA) después de seis meses. Resultados: sesenta y seis (24%) sujetos mostraron deterioro de su clase funcional y 209 la mejoraron o no cambiaron. Se encontró mayor proporción de pacientes que cuya clase funcional se deterioró, en los que aumentó > 5% el agua extracelular y que desarrollaron hipervolemia de acuerdo a su localización en la gráfica resistencia/reactancia. La disminución de > 5% de la resistencia/talla se asoció de forma independiente con el deterioro de la clase funcional con un OR = 1.42 (IC 95% 1.01-2.0, p = 0.04). Conclusiones: la evaluación de la composición corporal a través de bioimpedancia eléctrica en pacientes con IC es un marcador de deterioro funcional (AU)