| Literature DB >> 28129366 |
Haruki Kogo1,2, Jun Murata2, Shin Murata3, Toshio Higashi2.
Abstract
This study examined the validity of a practical evaluation method for pitting edema by comparing it to other methods, including circumference measurements and ultrasound image measurements. Fifty-one patients (102 legs) from a convalescent ward in Maruyama Hospital were recruited for study 1, and 47 patients (94 legs) from a convalescent ward in Morinaga Hospital were recruited for study 2. The relationship between the depth of the surface imprint and circumferential measurements, as well as the relationship between the depth of the surface imprint and the thickness of the subcutaneous soft tissue on an ultrasonogram, were analyzed using a Spearman correlation coefficient by rank. There was no significant relationship between the surface imprint depth and circumferential measurements. However, there was a significant relationship between the depth of the surface imprint and the thickness of the subcutaneous soft tissue as measured on an ultrasonogram (correlation coefficient 0.736). Our findings suggest that our novel evaluation method for pitting edema, based on a measurement of the surface imprint depth, is both valid and useful.Entities:
Mesh:
Year: 2017 PMID: 28129366 PMCID: PMC5271403 DOI: 10.1371/journal.pone.0170810
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Subjects’ characteristics (n = 51).
| Age, years | 69.8 ± 13.9 |
| Sex, (male/female) | 32/19 |
| Height, cm | 159.6 ± 8.5 |
| Weight, kg | 58.2 ± 12.4 |
| BMI, kg/m2 | 22.7 ± 3.6 |
| Heart disease, n | 20 |
| Central nervous disease, n | 51 |
| Pancreopathy, n | 4 |
| Orthopedic issues, n | 3 |
| Kidney disease, n | 4 |
| Pulmonary disease, n | 0 |
BMI, body mass index. Data for age, height, weight, and BMI are presented as the mean ± standard deviation.
Fig 1Measurement instrument.
Fig 2Specifications of the measurement instrument.
Fig 3Visualization process of the instrument for the surface imprint.
Subjects’ characteristics (n = 47).
| Age, years | 80.9 ± 10.9 |
| Sex, (male/female) | 21/26 |
| Height, cm | 154.0 ± 10.9 |
| Weight, kg | 55.4 ± 16.4 |
| BMI, kg/m2 | 23.2 ± 5.7 |
| Heart disease, n | 15 |
| Central nerve disease, n | 24 |
| Pancreopathy, n | 11 |
| Orthopedic issues, n | 30 |
| Kidney disease, n | 5 |
| Pulmonary disease, n | 2 |
BMI, body mass index. Data for age, height, weight, and BMI are presented as the mean ± standard deviation.
Fig 4Measure of the thickness of the subcutaneous soft tissue by ultrasound imaging.
Correlation coefficients between the depth of the surface imprint, circumference, and thickness of the subcutaneous tissue.
| Circumference | Thickness of the subcutaneous soft tissue | |
|---|---|---|
| Depth of the surface imprint | -0.025 | 0.736 |
The 95% confidence interval for the coefficient between the depth of the surface imprint depth and the thickness of the subcutaneous soft tissue is 0.627 to 0.816.
** p < 0.01
Fig 5Correlation diagram of the depth of the surface imprint and the thickness of the subcutaneous tissue.