Anthropometric and Body composition data of multi-center hemodialysis patients in Guizhou, China
| Main Author: | Da, Jingjing |
|---|---|
| Other Authors: | Zha, Yan |
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2020
|
| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/cv4zkd8f35 |
| ctrlnum |
0.17632-cv4zkd8f35.2 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc><creator>Da, Jingjing</creator><title>Anthropometric and Body composition data of multi-center hemodialysis patients in Guizhou, China</title><publisher>Mendeley</publisher><description>1.Participants
Patients aged 18-90 years underwent routine MHD in GuiZhou, Southwest China in 2015, were enrolled in this multi-center, prospective study. Inclusion criteria: (i) regular hemodialysis 3 times a week for 4 hours each time, (ii) age≥18 years, (iii) assessed by bio-electrical impedance analysis. We excluded patients who did not sign the informed consent, were acute illness in the last 3 month, severe sepsis, shock, multiple organ dysfunction syndrome (MODS), and recent change in dialysis modality.
2.Anthropometric measurements
To evaluate nourishment status in the subjects, we assessed their height (cm) and weight (kg) with light clothes. Body mass index (BMI) was calculated as weight/height 2 (kg/m2). Upper arm circumference (AC) and left calf circumference (LCC) was measured with soft feet. The measuring point of AC was the midpoint from shoulder to olecranon connection when upper limbs naturally drooping, and that of LCC was the strongest level of left calf. Triceps skinfold thickness (TSF) was performed with calliper and read the needle to the nearest 0.1mm approximately. To minimize intra-operator variability, the averages of 3 consecutive measurements were recorded. Upper arm muscle circumference (AMC) was calculated as AC-3.14*TSF. Grip strength (GS) was obtained using a hand-held dynamometer. The patient squeezed the dynamometer with all of their strength, typically three times with left hand. Body surface area (BSA, m2) was calculated as 0.0061*heigh+0.128*weigh -0.1529.
3. Body composition measured and predictive equations of resting metabolic rate
Body capacitance, lean body mass (LBM), fat mass, body cell mass (BCM), Intracellular water (ICW) and resting metabolic rate (RMR) were assessed using a five-compartment model of bio-electrical impedance analyzer (Biodynamic BIA 450, WA, USA) with an electrical current of 50 kHz. Measurement was performed before a mid-week dialysis session on the non-access site of the body. Patients were laying in the quiet room with the temperature 22℃ to 24℃. Two pairs of sensor electrodes were placed on the patient’s right hand and wrist, and right foot and ankle.
4. Laboratory parameters
Blood samples were also obtained in the morning after an 8h overnight fast. Laboratory parameters including: pre-dialysis serum creatinine (Scr), blood urea nitrogen (BUN), parathyroid hormone (PTH). Biochemical indicators were tested by automatic biochemical detector (Olympus, Tokyo, Japan). </description><subject>Hemodialysis</subject><contributor>Zha, Yan</contributor><type>Other:Dataset</type><identifier>10.17632/cv4zkd8f35.2</identifier><rights>Creative Commons Attribution 4.0 International</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><relation>https:/data.mendeley.com/datasets/cv4zkd8f35</relation><date>2020-01-03T08:31:14Z</date><recordID>0.17632-cv4zkd8f35.2</recordID></dc>
|
| format |
Other:Dataset Other |
| author |
Da, Jingjing |
| author2 |
Zha, Yan |
| title |
Anthropometric and Body composition data of multi-center hemodialysis patients in Guizhou, China |
| publisher |
Mendeley |
| publishDate |
2020 |
| topic |
Hemodialysis |
| url |
https:/data.mendeley.com/datasets/cv4zkd8f35 |
| contents |
1.Participants
Patients aged 18-90 years underwent routine MHD in GuiZhou, Southwest China in 2015, were enrolled in this multi-center, prospective study. Inclusion criteria: (i) regular hemodialysis 3 times a week for 4 hours each time, (ii) age≥18 years, (iii) assessed by bio-electrical impedance analysis. We excluded patients who did not sign the informed consent, were acute illness in the last 3 month, severe sepsis, shock, multiple organ dysfunction syndrome (MODS), and recent change in dialysis modality.
2.Anthropometric measurements
To evaluate nourishment status in the subjects, we assessed their height (cm) and weight (kg) with light clothes. Body mass index (BMI) was calculated as weight/height 2 (kg/m2). Upper arm circumference (AC) and left calf circumference (LCC) was measured with soft feet. The measuring point of AC was the midpoint from shoulder to olecranon connection when upper limbs naturally drooping, and that of LCC was the strongest level of left calf. Triceps skinfold thickness (TSF) was performed with calliper and read the needle to the nearest 0.1mm approximately. To minimize intra-operator variability, the averages of 3 consecutive measurements were recorded. Upper arm muscle circumference (AMC) was calculated as AC-3.14*TSF. Grip strength (GS) was obtained using a hand-held dynamometer. The patient squeezed the dynamometer with all of their strength, typically three times with left hand. Body surface area (BSA, m2) was calculated as 0.0061*heigh+0.128*weigh -0.1529.
3. Body composition measured and predictive equations of resting metabolic rate
Body capacitance, lean body mass (LBM), fat mass, body cell mass (BCM), Intracellular water (ICW) and resting metabolic rate (RMR) were assessed using a five-compartment model of bio-electrical impedance analyzer (Biodynamic BIA 450, WA, USA) with an electrical current of 50 kHz. Measurement was performed before a mid-week dialysis session on the non-access site of the body. Patients were laying in the quiet room with the temperature 22°C to 24°C. Two pairs of sensor electrodes were placed on the patient’s right hand and wrist, and right foot and ankle.
4. Laboratory parameters
Blood samples were also obtained in the morning after an 8h overnight fast. Laboratory parameters including: pre-dialysis serum creatinine (Scr), blood urea nitrogen (BUN), parathyroid hormone (PTH). Biochemical indicators were tested by automatic biochemical detector (Olympus, Tokyo, Japan). |
| id |
IOS7969.0.17632-cv4zkd8f35.2 |
| institution |
Universitas Islam Indragiri |
| affiliation |
onesearch.perpusnas.go.id |
| institution_id |
804 |
| institution_type |
library:university library |
| library |
Teknologi Pangan UNISI |
| library_id |
2816 |
| collection |
Artikel mulono |
| repository_id |
7969 |
| city |
INDRAGIRI HILIR |
| province |
RIAU |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS7969 |
| first_indexed |
2020-04-08T08:32:03Z |
| last_indexed |
2020-04-08T08:32:03Z |
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dc |
| _version_ |
1686587765751283712 |
| score |
17.538404 |