scholarly journals Impact of Active Ankle Movement Frequency on Velocity of Lower Limb Venous Flow following Total Hip Arthroplasty

2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Tsutomu Nakayama ◽  
Sachiyuki Tsukada ◽  
Takayuki Hiyama ◽  
Tatsuya Yamada ◽  
Naoyuki Hirasawa

Background. Although active ankle movement plays a predominant role in mechanical thromboprophylaxis following total hip arthroplasty (THA), the most effective frequency of movement remains unclear.Materials and Methods.In 29 consecutive patients undergoing THA, the velocity of blood flow in the profunda femoris was measured after various frequencies of ankle movement two days after THA using a pulse wave Doppler ultrasound system. To test the interobserver reliabilities for the velocity measured with Doppler ultrasound system, the intraclass correlation coefficient was calculated based on the measurement in 10 limbs of healthy volunteers.Results.At 0, 1, and 2 minutes after ankle movement, the velocity after movement at 60 contractions per minute was significantly faster than that after movement at 40 or 80 contractions per minute (p=0.0007, repeated-measures analysis of variance). The intraclass correlation coefficient score in two investigators was 0.849 (95% confidence interval, 0.428 to 0.962).Conclusions.Active ankle movement at 60 contractions per minute is recommended in patients receiving THA to obtain optimal venous blood flow.

Orthopedics ◽  
2011 ◽  
Author(s):  
Michael T. Hirschmann ◽  
Faik K. Afifi ◽  
Carsten Helfrich ◽  
Dieter Wirz ◽  
Tobias Schwägli ◽  
...  

2003 ◽  
Vol 19 (2) ◽  
pp. 362-372 ◽  
Author(s):  
David Feeny ◽  
Christopher Blanchard ◽  
Jeffrey L. Mahon ◽  
Robert Bourne ◽  
Cecil Rorabeck ◽  
...  

Objectives: Do utility scores based on patient preferences and scores based on community preferences agree? The purpose is to assess agreement between directly measured standard gamble (SG) utility scores and utility scores from the Health Utilities Index Mark 2 (HUI2) and Mark 3 (HUI3) systems.Methods: Patients were assessed repeatedly throughout the process of waiting to see a surgeon, waiting for surgery, and recovery after total hip arthroplasty (THA). Group mean scores are compared using paired t-tests. Agreement is assessed using the intraclass correlation coefficient (ICC).Results: The mean SG, HUI2, and HUI3 (SD) scores at assessment 1 are 0.62 (0.31), 0.62 (0.19), and 0.52 (0.21); n=103. At assessment 2, the means are 0.67 (0.30), 0.68 (0.30), and 0.58 (0.22); n=84. There are no statistically significant differences between group mean SG and HUI2 scores. Mean SG and HUI3 scores are significantly different. ICCs are low.Conclusions: At the mean level for the group, SG and HUI2 scores match closely. At the individual level, agreement is poor. HUI2 scores were greater than HUI3 scores. HUI2 and HUI3 are appropriate for group level analyses relying on community preferences but are not a good substitute for directly measured utility scores at the individual leve.


2021 ◽  
Vol 49 (11) ◽  
pp. 030006052110588
Author(s):  
Xuzhuang Ding ◽  
Bingshi Zhang ◽  
Wenao Li ◽  
Jia Huo ◽  
Sikai Liu ◽  
...  

Objective We performed a retrospective study to compare the accuracy of preoperative planning using three-dimensional AI-HIP software and traditional two-dimensional manual templating to predict the size and position of prostheses. The purpose of this study was to evaluate the accuracy of AI-HIP in preoperative planning for primary total hip arthroplasty. Methods In total, 316 hips treated from April 2019 to June 2020 were retrospectively reviewed. A typical preoperative planning process for patients was implemented to compare the accuracy of the two preoperative planning methods with respect to prosthetic size and position. Intraclass correlation coefficients (ICCs) were used to evaluate the homogeneity between the actual prosthetic size and position and the preoperative planning method. Results When AI-HIP software and manual templating were used for preoperative planning, the stem agreement was 87.7% and 58.9%, respectively, and the cup agreement was 94.0% and 65.2%, respectively. The results showed that when AI-HIP software was used, an extremely high level of consistency (ICC > 0.95) was achieved for the femoral stem size, cup size, and femoral osteotomy level (ICC = 0.972, 0.962, and 0.961, respectively). Conclusion AI-HIP software showed excellent reliability for predicting the component size and implant position in primary total hip arthroplasty.


2020 ◽  
Vol 9 (10) ◽  
pp. 205846012096491
Author(s):  
Mats Geijer ◽  
Sverrir Kiernan ◽  
Martin Sundberg ◽  
Gunnar Flivik

Background Restoration of a correct biomechanical situation after total hip arthroplasty is important. Purpose To evaluate proximal femoral symmetry of acetabular and femoral offset and femoral neck anteversion pre- and postoperatively in hip arthroplasty by semi-automated 3D-CT and to validate the software measurements by inter- and intraobserver agreement calculations. Material and Methods In low-dose CT on 71 patients before and after unilateral total hip arthroplasty, two observers used a digital 3D templating software to measure acetabular offset, true and functional femoral offset, and femoral neck anteversion. Observer agreements were calculated using intraclass correlation. Hip measurements were compared in each patient and between pre- and postoperative measurements. Results Preoperatively, acetabular offset (2.4 mm), true (2.2 mm), and functional global offset (2.7 mm) were significantly larger on the osteoarthritic side without side-to-side differences for true and functional femoral offset or femoral neck anteversion. Postoperatively, acetabular offset was significantly smaller on the operated side (2.1 mm) with a concomitantly increased true (2.5 mm) and functional femoral offset (1.5 mm), resulting in symmetric true and functional global offsets. There were no differences in postoperative femoral neck anteversion. Inter- and intraobserver agreements were near-perfect, ranging between 0.92 and 0.98 with narrow confidence intervals (0.77–0.98 to 0.94–0.99). Conclusion Acetabular and concomitantly global offset are generally increased in hip osteoarthritis. Postoperative acetabular offset was reduced, and femoral offset increased to maintain global offset. 3D measurements were reproducible with near-perfect observer agreements. 3D data sets should be used for pre- and postoperative measurements in hip arthroplasty.


2020 ◽  
Vol 36 (5) ◽  
pp. 464-469
Author(s):  
Rodrigo Rabello ◽  
Klauber D. Pompeo ◽  
Isabel de Almeida Paz ◽  
Fabio J. Lanferdini ◽  
Ronei S. Pinto ◽  
...  

Objective: Echo intensity measurements are highly influenced by ultrasound system and parameters used for measurement, making comparisons of results obtained from different ultrasound machines difficult. Therefore, it is necessary to understand how reliability changes when using different ultrasound systems and parameters. Materials and Methods: ALOKA SSD4000 and GE LOGIQ P6 systems were used to compare rectus femoris echo intensity in 16 healthy young subjects (eight women) using different depths (D), gains (G), and frequencies (F). The following settings were adopted: ALOKA1 (D6/G30/F7.5), ALOKA2 (D6/G45/F7.5), ALOKA3 (D6/G30/F10), LOGIQ1 (D6/G50/F15), LOGIQ2 (D6/G0/F15), LOGIQ3 (D6/G0/F10), and LOGIQ4 (D6/G30/F10). Intraclass correlation coefficient, standard error of the measure, minimum difference, and Bland-Altman tests were performed to calculate reliability and agreement between systems’ settings. Results: ALOKA1 × LOGIQ1, ALOKA1 × LOGIQ4, and ALOKA3 × LOGIQ1 showed moderate to high ICCs and agreement on the Bland-Altman test. Conclusion: Echo intensity varies between systems and parameters, but reliability can be increased by adjusting the ultrasound settings.


2015 ◽  
Vol 30 (5) ◽  
pp. 786-789 ◽  
Author(s):  
Rachel E. Mednick ◽  
Hasham M. Alvi ◽  
Courtney E. Morgan ◽  
Michael D. Stover ◽  
David W. Manning

2015 ◽  
Vol 30 (6) ◽  
pp. 998-1001 ◽  
Author(s):  
Louis S. Stryker ◽  
Jeremy M. Gilliland ◽  
Susan M. Odum ◽  
J. Bohannon Mason

Orthopedics ◽  
2008 ◽  
Vol 31 (6) ◽  
pp. 1-4 ◽  
Author(s):  
Hiroshi Shitama ◽  
Masatoshi Naito ◽  
Tsuyoshi Shinoda ◽  
Takashi Shitama

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