Literature DB >> 31043080

Extracellular-to-Intracellular Fluid Volume Ratio as a Prognostic Factor for Survival in Patients With Metastatic Cancer.

Jee Young Lee1, Han Sung Ryu1, Sung Soo Yoon1, Eun Hye Kim1, Seong Woo Yoon1.   

Abstract

PURPOSE: This study aimed to investigate whether the extracellular-to-intracellular fluid volume (E/I) ratio can predict survival in patients with metastatic cancer.
METHODS: Clinical data were collected from April 2016 to March 2018. Patients aged ≥19 years with metastatic solid tumor were eligible. Bioimpedance analysis was used to assess body fluid distribution and the E/I ratio. Clinical characteristics, including laboratory test results and nutrition status according to the E/I ratio, were analyzed. Cox proportional hazards models and Kaplan-Meier analysis were used to identify risk factors for mortality.
RESULTS: In total, 87 patients were included in the study. The 87 patients were divided into 2 groups according to the median E/I ratio: a high E/I group (E/I ratio ≥1.0, n = 43) and a low E/I group (E/I ratio <1.0, n = 44). Poor performance status, fluid retention, malnutrition, elevation of C-reactive protein levels, and decreases in hemoglobin, albumin, and protein levels were significantly associated with the high E/I group. The median overall survival time was 1.6 and 12.5 months in the high E/I and low E/I groups, respectively ( P < .001). In the multivariate analysis, poor performance status, leukocytosis, fluid retention, and E/I ratio were independent prognostic factors, and the E/I ratio was the strongest prognostic factor predicting overall survival (hazard ratio = 3.49, 95% confidence interval = 1.75-6.96, P < .001).
CONCLUSIONS: The E/I ratio can predict survival time in patients with metastatic cancer. More rigorous research is required to confirm this result.

Entities:  

Keywords:  bioimpedance analysis; body composition; cancer; extracellular-to-intracellular fluid volume ratio; survival

Mesh:

Year:  2019        PMID: 31043080      PMCID: PMC6498769          DOI: 10.1177/1534735419847285

Source DB:  PubMed          Journal:  Integr Cancer Ther        ISSN: 1534-7354            Impact factor:   3.279


Introduction

Only 20.9% of patients with advanced or metastatic tumor survive for 5 years according to national statistics in Korea, and 4% to 30% survive in the United States.[1,2] Predicting survival time is important for deciding between aggressive anticancer therapies to prolong survival time and supportive care to manage patient symptoms and quality of life as the appropriate treatment plan for patients with metastatic cancer.[3,4] Several prognostic methods have been developed for clinicians to treat patients with an optimal treatment plan. Clinical symptoms including anorexia, dyspnea, and delirium and laboratory data including leukocytosis, lymphocytopenia, and elevated C-reactive protein (CRP) levels have been suggested to be prognostic factors of survival time in patients with cancer.[5] Additionally, several combinations of clinical symptoms and laboratory data, such as palliative prognostic score and palliative prognostic index, have been proposed.[6] Comprehensive and objective predicting tools are still necessary to refine and complement prognostic models.[7] The extracellular-to-intracellular fluid volume ratio (E/I ratio), which varies from 0.59 to 0.75 in healthy adults,[8,9] represents the internal fluid distribution in human body. In particular, it shows a significant association with disease states such as inflammation, immune activation, and fluid shift due to poor tissue perfusion.[8] Bioimpedance analysis (BIA) provides a noninvasive, reliable, and simple bedside technology for diagnosing subclinical fluid accumulation, including extracellular and intracellular fluid volume, utilizing the electrical properties of body tissues.[10] The E/I ratio is positively associated with aging[11] and malnutritional status.[9] E/I ratio was also a strong independent predictor of mortality and survival in patients of end-stage chronic diseases.[12,13] The E/I ratio was also reported to have a potential relationship with survival time in patients with cancer receiving palliative care.[14] An elevated metabolic rate and accumulation of extracellular body fluid have been related to poor survival in patients with cancer, who often suffer from malnutrition, inflammation, and fluid retention such as pleural effusion, ascites, and edema of peripheral extremities.[15,16] This study aimed to evaluate clinical characteristics including laboratory test results and nutrition status according to the E/I ratio and confirm the value of the E/I ratio as an independent prognostic factor in patients with metastatic cancer.

Study Purpose

The purpose of the study was to investigate whether the E/I ratio is related to survival time in patients with metastatic cancer.

Methods

Study Design and Eligibility

This was a retrospective chart review study. Patients who visited the Korean Medicine Cancer Center, Kyung Hee University Hospital at Gangdong, from April 2016 to March 2018, were enrolled. Metastatic stage solid tumor was diagnostically confirmed in every patient according to the American Joint Committee on Cancer, seventh edition. Patients were eligible for inclusion if they were 19 years or older and had undergone a BIA test. If a patient received BIA test repeatedly, we used the baseline measurement for analysis in this study. However, patients who did not undergo laboratory tests 3 days before and after their BIA test and those who had clinically unstable vital signs at the time of their BIA test were excluded. The presence of at least one of following vital signs was regarded as clinically unstable: systolic blood pressure below 90 mm Hg, pulse rate above 120 beats per minute, or constant need of oxygen supplement for dyspnea. Patients who had undergone surgery within 1 month previously and patients with a medical history of end-stage renal disease (ESRD) requiring regular hemodialysis or peritoneal dialysis were also excluded. This study was approved by the institutional review board at Kyung Hee University Hospital at Gangdong (Institutional Review Board No. KHNMC-OH 2018-05-004).

Data Collection

Clinical and medical data, including age, sex, medical history and medication, primary cancer lesion, TNM stage, major cancer treatment history, and concurrent treatment status, were collected from medical records. Major cancer treatment history was defined as surgery, chemotherapy, and radiotherapy. Body mass index, Eastern Cooperative Oncology Group performance status (ECOG-PS; 0, fully active; 1, restricted in physically strenuous activity but ambulatory and able to carry out work of a light or sedentary nature; 2, ambulatory and capable of all self-care but unable to carry out any work activities; 3, capable of only limited self-care, confined to bed or chair more than 50% of waking hours; 4, completely disabled; 5, dead), and BIA results were assessed by clinical physicians. Laboratory test results 3 days before and after BIA assessment were recorded. White blood cell and platelet counts and hemoglobin, CRP, blood urea nitrogen, serum creatinine, sodium, potassium, chloride, protein, albumin, total bilirubin, aspartate aminotransferase, alanine aminotransferase, and alkaline phosphatase levels were assessed. Inflammation was defined as abnormal CRP elevation (CRP level >1.0 mg/dL). Anemia, hypoalbuminemia, and hyponatremia were graded according to the Common Terminology Criteria for Adverse Events version 4.0. Fluid retention was defined as abnormal fluid collection in the pericardial, pleural, or abdominal cavity or the peripheral extremities and assessed through an imaging examination confirmed by a radiologist. Nutritional status was independently assessed by 2 professional clinical dieticians according to the Kyung Hee Neo Nutrition Risk Screening (KNNRS) score, which was developed to identify hospitalized patients with malnutrition risk based on the Subjective Global Assessment (SGA) and the European Society for Clinical Nutrition and Metabolism (ESPEN) guidelines.[17-19] According to the KNNRS, nutritional status was divided into 3 categories: 0 to 3, well nourished (absence of malnutrition or normal nutrition); 4 to 10, mild to moderate malnutrition; and 11 to 20, severe malnutrition.

Bioimpedance Measurement

Bioimpedance was measured using the BIA 450 bioimpedance analyzer (Medinex, Seoul, Republic of Korea) and the unilateral wrist-ankle method. Immediately preceding the BIA, the height and weight of the patient were measured. We avoided the measurement both less than 30 minutes and more than 6 hours after meal time to avoid the patient from undergoing excessive satiety or starvation. In the absence of excessive satiety or starvation, the patient was stabilized in supine position for 15 minutes and toilet visit was recommended before the test. After 15 minutes, the patient underwent the test in the supine position. Four bipolar electrodes were placed on the wrist, dorsum of the right hand, anterior ankle, and dorsum of the right foot. A 60-kHz frequency was used to measure the intracellular and extracellular fluid of the patients, which took approximately 2 minutes. The E/I ratio was calculated as the extracellular fluid amount divided by intracellular water amount. Toilet visit was recommended before the test. All measurements were performed by the same examiner throughout the study. The patients were divided into 2 groups according to the median values of the E/I ratio distribution: a low E/I ratio (E/I <1.0) and a high E/I ratio (E/I ≥1.0) group.

Data Analysis

All variables are expressed as mean ± standard deviation or median (range). For continuous variables, an independent-sample t test was performed. For variables not normally distributed, the Kruskal-Wallis test was used. For categorical variables, a χ2 test was performed. Hazard ratios of all-cause mortality in the study population were assessed with Cox proportional hazard ratio models. Univariate and multivariate analyses were performed, and mortality was plotted using a Kaplan-Meier survival curve. A log-rank test was used to assess statistical differences in survival. Differences were considered statistically significant for P < .05. Every analysis was calculated and plotted using PASW Statistics for Windows (SPSS) version 18.0 (SPSS Inc, Chicago, IL).

Results

Between April 2016 and March 2018, 133 patients who were diagnosed with cancer visited the Korean Medicine Cancer Center, Kyung Hee University Hospital at Gangdong, and underwent BIA. There were 32 cases of localized or limited-stage cancer and 14 cases with incomplete laboratory test results. Finally, 87 patients were included (Figure 1). The median follow-up period was 16.4 months (2.6-24.8 months), with 13.4 months in the high E/I ratio group and 16.7 months in the low E/I ratio group. The median overall survival time was 5.5 months in all patients (95% confidence interval [CI] = 4.3-6.7 months).
Figure 1.

Study enrollment flowchart.

Study enrollment flowchart.

Demographic Characteristics

Of the 87 patients included in this study, 44 (50.6%) were men and 43 (49.4%) were women. The mean age was 65.1 (range = 36-95) years. The most common type of cancer was gastrointestinal tract cancer: 33 patients (37.9%) had gastrointestinal cancer, 21 (24.1%) had hepatobiliary cancer, 14 (16.1%) had urogenital cancer, and 6 (6.9%) had lung cancer. Every patient was in stage IV according to TNM staging. More than half of the patients underwent surgery and/or chemotherapy; 47 patients (54.0%) had surgery, 57 patients (65.5%) received chemotherapy, and 21 patients (24.1%) experienced radiotherapy (Table 1).
Table 1.

General Characteristics of Patients.

CharacteristicValue
Age, years65.1 (36-95)
Male sex, n (%)44 (50.6%)
BMI, kg/m221.5 ± 3.7
OS, months5.5 (4.3-6.7)
Primary lesion, n (%)
 Gastrointestinal33 (37.9%)
 Hepatobiliary21 (24.1%)
 Urogenital14 (16.1%)
 Lung6 (6.9%)
 Breast3 (3.4%)
 Head and neck2 (2.3%)
 Other8 (9.2%)
Treatment history, n (%)
 Surgery47 (54.0%)
 Chemotherapy57 (65.5%)
 Radiotherapy21 (24.1%)

Abbreviations: BMI, body mass index; OS, overall survival.

General Characteristics of Patients. Abbreviations: BMI, body mass index; OS, overall survival. There were no patients with an ECOG-PS of 0, 29 patients (33.3%) had an ECOG-PS of 1, 27 (31.0%) had an ECOG-PS of 2, 17 patients (19.5%) had an ECOG-PS of 3, and 14 patients (16.1%) had an ECOG-PS of 4. Although 29 patients (29.3%) had a normal nutritional status, the majority of patients experienced malnutrition, with 55 patients (63.2%) with mild to moderate malnutrition and 3 patients (3.4%) with a severe malnutrition status. Anemia of grade 2 or higher was observed in 32.2% of patients, hypoalbuminemia in 25.3%, and hyponatremia in 9.2%.

Patient Characteristics According to 2 Quantiles of E/I Ratio

The overall characteristics of the patient groups divided according to E/I ratio are shown in Table 2.
Table 2.

Characteristics in the Low and High E/I Ratio Groups.

CharacteristicsLow E/I Ratio (E/I <1.0, n = 44)High E/I Ratio (E/I ≥1.0, n = 43) P
BMI, kg/m221.8 ± 3.521.0 ± 4.0.272
ECOG-PS.045*
 0-233 (75.0%)25 (53.5%)
 3-411 (25.0%)20 (45.6%)
Fluid retention (presence of pleural fluid, ascites and/or peripheral edema)7 (15.9%)28 (65.1%)<.001*
Malnutrition.007*
 Absence (well nourished)21 (47.7%)8 (18.6%)
 Mild to moderate22 (50.0%)33 (76.7%)
 Severe1 (2.3%)2 (4.7%)
WBC (/µL)6954.3 ± 3037.97443.3 ± 4151.2.533
CRP (mg/dL)2.3 ± 3.44.8 ± 6.8.037*
Hb (g/dL)11.6 ± 2.110.2 ± 1.5.001*
Sodium (mEq/L)136.4 ± 3.4134.9 ± 4.2.071
Chloride (mEq/L)103.4 ± 3.3101.8 ± 4.6.075
Protein (mg/dL)6.78 ± 0.76.33 ± 0.9.010*
Albumin (mg/dL)3.63 ± 0.63.14 ± 0.6.001*
Bilirubin (mg/dL)0.70 ± 0.41.57 ± 3.7.137

Abbreviations: E/I, extracellular-to-intracellular fluid volume; BMI, body mass index; ECOG-PS, Eastern Cooperative Oncology Group Performance Status; WBC, white blood cell count; CRP, C-reactive protein; Hb, hemoglobin.

Indicates that the P value was statistically significant (P < .05).

Characteristics in the Low and High E/I Ratio Groups. Abbreviations: E/I, extracellular-to-intracellular fluid volume; BMI, body mass index; ECOG-PS, Eastern Cooperative Oncology Group Performance Status; WBC, white blood cell count; CRP, C-reactive protein; Hb, hemoglobin. Indicates that the P value was statistically significant (P < .05). Patients in the high E/I ratio group had a poor performance status, indicated by an ECOG-PS of 3 or worse (46.5% vs 25.0%, P = .045), experienced more fluid retention including pleural effusion and ascites (65.1% vs 15.9%, P < .001), and experienced more malnutrition (81.4% vs 52.3%, P = .007). In the high E/I ratio group, the CRP level was significantly higher (4.8 ± 6.8 vs 2.3 ± 3.4 mg/dL, P = .037), while the hemoglobin level (10.2 ± 1.5 vs 11.6 ± 2.1 g/dL, P = .001), serum protein level (6.33 ± 0.9 vs 6.78 ± 0.7 mg/dL, P = .010), and albumin level (3.14 ± 0.6 vs 3.63 ± 0.6 mg/dL, P = .001) were significantly lower.

Univariate and Multivariate Analyses for Mortality

In the univariate analysis, low body mass index, poor ECOG-PS, leukocytosis, inflammation, anemia, hyponatremia, hypoalbuminemia, fluid retention, malnutrition, and E/I ratio were predictors of overall survival. In the adjusted multivariate analysis, poor ECOG-PS, leukocytosis, fluid retention, and E/I ratio were significant predictors of overall survival (hazard ratio [95% CI]): poor ECOG-PS 2.51 (1.16-5.44), leukocytosis 2.65 (1.19-5.92), fluid retention 2.17 (1.05-4.49), and E/I ratio 3.49 (1.75-6.96; Table 3).
Table 3.

Univariate and Multivariate Analyses by Cox Proportional Hazard Ratio Model for Mortality.

Unadjusted Univariate AnalysisAdjusted Multivariate Analysis
HR (95% CI) P HR (95% CI) P
BMI (BMI <20.0 vs ≥20.0)1.96 (1.13-3.41).015*
ECOG-PS (3-4 vs 0-2)4.34 (2.30-8.18)<.001*2.51 (1.16-5.44).020*
Leukocytosis (WBC >10 000 vs ≤10 000)5.16 (2.60-10.22)<.001*2.65 (1.19-5.92).017*
Inflammation (CRP >1.0 vs ≤1.0)2.44 (1.42-4.20).001*
Anemia (Hb <10.0 vs ≥10.0)2.09 (1.00-4.37).046*
Hyponatremia (Na <130.0 vs ≥130.0)2.47 (1.11-5.51).027*
Hypoalbuminemia (albumin <3.0 vs ≥3.0)5.16 (2.88-9.25)<.001*
Bilirubinemia (Bilirubin >1.0 vs ≤1.0)1.64 (0.87-3.07).123
Fluid retention (presence vs absence)5.40 (3.05-9.56)<.001*2.17 (1.05-4.49).038*
Malnutrition (presence vs absence)2.60 (1.32-5.11).006*
E/I ratio (<1.0 vs ≥1.0)3.52 (2.01-6.16)<.001*3.49 (1.75-6.96)<.001*

Abbreviations: HR, hazard ratio; CI, confidence interval; BMI, body mass index; ECOG-PS, Eastern Cooperative Oncology Group performance status; WBC, white blood cell count; CRP, C-reactive protein; Hb, hemoglobin; E/I, extracellular-to-intracellular fluid volume.

Indicates that the P was statistically significant (P < .05).

Univariate and Multivariate Analyses by Cox Proportional Hazard Ratio Model for Mortality. Abbreviations: HR, hazard ratio; CI, confidence interval; BMI, body mass index; ECOG-PS, Eastern Cooperative Oncology Group performance status; WBC, white blood cell count; CRP, C-reactive protein; Hb, hemoglobin; E/I, extracellular-to-intracellular fluid volume. Indicates that the P was statistically significant (P < .05).

Survival Curve

The overall survival of patients differed significantly between the high and low E/I ratio groups. The median overall survival of the high E/I ratio group according to the Kaplan-Meier survival curve was 1.6 months (95% CI = 0.7-2.5 months), whereas that of the low E/I ratio group was 12.5 months (95% CI = 4.1-20.9 months; P < .001; Figure 2).
Figure 2.

Overall survival according to E/I ratio.

Abbreviations: E/I, extracellular-to-intracellular fluid volume; mOS, median overall survival; MO, months; CI, confidence interval.

The high E/I ratio group had a significantly shorter survival time (median overall survival time 1.6 vs 12.5 months, log-rank P < .001).

Overall survival according to E/I ratio. Abbreviations: E/I, extracellular-to-intracellular fluid volume; mOS, median overall survival; MO, months; CI, confidence interval. The high E/I ratio group had a significantly shorter survival time (median overall survival time 1.6 vs 12.5 months, log-rank P < .001).

Discussion

This study aimed to evaluate the clinical characteristics of patients with metastatic cancer according to the E/I ratio and to investigate whether the E/I ratio was related to survival time in patients with metastatic cancer. This study showed that a high E/I ratio (≥1.0) independently predicted a poor prognosis in patients with metastatic cancer. E/I ratio indicates the fluid distribution in the human body. Fluids in the body lubricate movement of organs, aid in the excretion of waste matter, and mediate metabolism by transporting energy and substances including cytokines. Body fluid distribution tends to maintain homeostasis through active and passive transport systems. E/I ratio has already shown a relationship with overall condition and prognostic possibility in patients with chronic disease.[12,13,20] The E/I ratio in patients with cancer may be imbalanced due to several reasons. Patients with cancer experience a higher incidence of hyponatremia, which is mainly related to the syndrome of inappropriate secretion of antidiuretic hormone secretion.[21,22] Cancerous tissues in the peritoneum, pleura, or pericardium induce excessive and unnecessary effusion with or without major organ failure, which can change cardiovascular permeability and induce unnecessarily excessive fluid accumulation.[23] Patients with cancer often experience fluid retention such as pleural effusion, ascites, or edema in the peripheral extremities.[15,16] Fluid retention in patients with cancer commonly results from dysfunction of important organs.[24] Fluid imbalance is also closely associated with inflammation,[25] malnutrition,[26] and body composition[27] in patients with cancer. Until now, the distribution of body fluid has mainly focused on the evaluation of periodic dialysis in patients with ESRD.[28,29] The higher E/I ratio in patients with renal failure was suggested to be a predictor of prognosis in the context of the malnutrition-inflammation-atherosclerosis complex,[26] as many cancer patients share the characteristics of malnutrition and inflammation.[30-33] The study by Crawford et al supported the suggestion that accumulation of body fluid may have a significant relationship with a poor prognosis in patients with cancer.[14] Our results are consistent with the results of previous studies of patients with ESRD.[28,29] Cancer patients with a high E/I ratio experienced poorer nutrition, more inflammation, and poorer survival expectancy. Notably, the median value of the E/I ratio in the present study was much higher than that in patients with ESRD. This difference can be interpreted as follows. First, terminally ill patients with cancer experienced worse fluid imbalance, which resulted in a high E/I ratio. Although ESRD studies followed patients for 60 to 150 months, more than half of those patients did not meet the median survival in the Kaplan-Meier survival curve. On the other hand, our study reported a median survival of 1.6 months in the high E/I ratio group. Second, malnutrition in patients with cancer was more related to sarcopenia and loss of muscle than to the loss of other body mass.[34] Because muscle contains more water than adipocytes and other tissues, the E/I ratio can be influenced by sarcopenia in patients with malnutrition in this study. This study has some limitations. First, because muscle contains more water than adipocytes, the E/I ratio can be influenced by the difference in muscle distribution. Second, this study was a small sample–sized retrospective study performed at a single center. In conclusion, the E/I ratio may be used to predict survival in patients with metastatic cancer. A well-designed large-scale prospective study is required to support this result.
  29 in total

1.  Relations between malnutrition-inflammation-atherosclerosis and volume status. The usefulness of bioimpedance analysis in peritoneal dialysis patients.

Authors:  Meltem Sezis Demirci; Cenk Demirci; Oner Ozdogan; Fatih Kircelli; Fehmi Akcicek; Ali Basci; Ercan Ok; Mehmet Ozkahya
Journal:  Nephrol Dial Transplant       Date:  2010-10-04       Impact factor: 5.992

2.  The standard deviation of extracellular water/intracellular water is associated with all-cause mortality and technique failure in peritoneal dialysis patients.

Authors:  Jun-Ping Tian; Hong Wang; Feng-He Du; Tao Wang
Journal:  Int Urol Nephrol       Date:  2016-07-20       Impact factor: 2.370

Review 3.  Imaging of Fluid in Cancer Patients Treated With Systemic Therapy: Chemotherapy, Molecular Targeted Therapy, and Hematopoietic Stem Cell Transplantation.

Authors:  Abhishek R Keraliya; Michael H Rosenthal; Katherine M Krajewski; Jyothi P Jagannathan; Atul B Shinagare; Sree Harsha Tirumani; Nikhil H Ramaiya
Journal:  AJR Am J Roentgenol       Date:  2015-10       Impact factor: 3.959

4.  Estimating survival in patients with cancer receiving palliative care: is analysis of body composition using bioimpedance helpful?

Authors:  Gregory Brian Crawford; Julie Ann Robinson; Roger Wayne Hunt; Neil Brenton Piller; Adrian Esterman
Journal:  J Palliat Med       Date:  2009-11       Impact factor: 2.947

Review 5.  Hyponatraemia--SIADH in lung cancer diagnostic and treatment algorithms.

Authors:  Christian Grohé; Rossanna Berardi; Volker Burst
Journal:  Crit Rev Oncol Hematol       Date:  2015-04-23       Impact factor: 6.312

6.  Relationships between pleural fluid pH, PCO2 to pleural fluid PO2, amylase, protein, glucose and white cells in tuberculous and malignant effusions.

Authors:  S Limthongkul; P Charoenlap; C Nuchprayoon; Y N Songkhla
Journal:  J Med Assoc Thai       Date:  1990-08

7.  Changes in the fluid volume balance between intra- and extracellular water in a sample of Japanese adults aged 15-88 yr old: a cross-sectional study.

Authors:  Yasushi Ohashi; Nobuhiko Joki; Keisuke Yamazaki; Takeshi Kawamura; Reibin Tai; Hideyo Oguchi; Rena Yuasa; Ken Sakai
Journal:  Am J Physiol Renal Physiol       Date:  2017-12-06

8.  Physician factors in the timing of cancer patient referral to hospice palliative care.

Authors:  Elizabeth B Lamont; Nicholas A Christakis
Journal:  Cancer       Date:  2002-05-15       Impact factor: 6.860

Review 9.  Syndrome of inappropriate secretion of antidiuretic hormone (SIADH) in malignant disease.

Authors:  J B Sørensen; M K Andersen; H H Hansen
Journal:  J Intern Med       Date:  1995-08       Impact factor: 8.989

10.  Extracellular Fluid/Intracellular Fluid Volume Ratio as a Novel Risk Indicator for All-Cause Mortality and Cardiovascular Disease in Hemodialysis Patients.

Authors:  Eun-Jung Kim; Myung-Jin Choi; Jeoung-Hwan Lee; Ji-Eun Oh; Jang-Won Seo; Young-Ki Lee; Jong-Woo Yoon; Hyung-Jik Kim; Jung-Woo Noh; Ja-Ryong Koo
Journal:  PLoS One       Date:  2017-01-18       Impact factor: 3.240

View more
  2 in total

1.  Urine Di-(2-ethylhexyl) Phthalate Metabolites Are Independently Related to Body Fluid Status in Adults: Results from a U.S. Nationally Representative Survey.

Authors:  Wei-Jie Wang; Chia-Sung Wang; Chi-Kang Wang; An-Ming Yang; Chien-Yu Lin
Journal:  Int J Environ Res Public Health       Date:  2022-06-07       Impact factor: 4.614

2.  Smart Bioimpedance Spectroscopy Device for Body Composition Estimation.

Authors:  David Naranjo-Hernández; Javier Reina-Tosina; Laura M Roa; Gerardo Barbarov-Rostán; Nuria Aresté-Fosalba; Alfonso Lara-Ruiz; Pilar Cejudo-Ramos; Francisco Ortega-Ruiz
Journal:  Sensors (Basel)       Date:  2019-12-21       Impact factor: 3.576

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.