When waiting hurts: A longitudinal study of wait time impact on quality of life and functional status in total hip and total knee replacement patients (Concurrent)

2009 ◽  
Vol 13 (1) ◽  
pp. 34 ◽  
Author(s):  
Lynda L. Mandzuk ◽  
Diana E. McMillan ◽  
Eric R. Bohm
2019 ◽  
Vol 8 (3) ◽  
pp. 170-174
Author(s):  
Soo-Hyun Leem ◽  
Byounghee Lee ◽  
EunJung Chung ◽  
Jiyeon Lee ◽  
Jung-Hee Kim

2021 ◽  
pp. 105477382110589
Author(s):  
Çiğdem Kaya ◽  
Özlem Bilik

This study aims to determine the effect of counseling on quality of life and self-care agency for patients who are scheduled for total knee replacement (TKR). The study has a quantitative and quasi-experimental design with a control group. The patients in the control group ( n = 40) received routine care. Face-to-face and telephone counseling was offered to individuals in the intervention group ( n = 39). The data was collected at face-to-face interviews by using a patient characteristics form, Quality of Life Scale, and Self-Care Agency Scale. The scores for quality of life and self-care agency in the 6th to 8th and 14th to 16th weeks after surgery were very significantly higher in the intervention group than in the control group ( p < .001). This study shows that counseling given by the nurse increases the quality of life and self-care agency of patients undergoing TKR.


2019 ◽  
pp. 145749691988381 ◽  
Author(s):  
A. Liljensøe ◽  
J. O. Laursen ◽  
H. Bliddal ◽  
K. Søballe ◽  
I. Mechlenburg

Background and Aims: Obesity is an increasing problem in patients after total knee replacement. The aim of this study was to investigate whether a weight loss intervention before primary total knee replacement would improve quality of life, knee function, mobility, and body composition 1 year after surgery. Material and Methods: Patients scheduled for total knee replacement due to osteoarthritis of the knee and obesity were randomized to a control group receiving standard care or to an intervention group receiving 8-week low-energy diet before total knee replacement. Patient-reported quality of life, 6-Min Walk Test, and body composition by dual-energy X-ray absorptiometry were assessed before intervention for the diet group, and within 1 week preoperatively for both groups, and the changes in outcome from baseline to 1 year after total knee replacement were compared between groups. The number of participants was lower than planned, which might introduce a type-2 error and underestimate the trend for a better outcome after weight loss. Results: The analyses are based on a total of 76 patients, 38 in each group. This study showed major improvement in both study groups in quality of life and knee function, though no statistically significant differences between the groups were observed 1 year after total knee replacement. The average weight loss after 8-week preoperative intervention was 10.7 kg and consisted of a 6.7 kg reduction in fat mass. One year after total knee replacement, the participants in the diet group managed to maintain the weight reduction, whereas there was no change in the control group. Conclusion: The results suggest that it is feasible and safe to implement an intensive weight loss program shortly before total knee replacement. The preoperative intervention resulted in a 10% body weight loss, improved body composition, lower cardiovascular risk factors, and sustained s-leptin.


2010 ◽  
Vol 30 (S 01) ◽  
pp. S104-S106
Author(s):  
W. Miesbach ◽  
L. M. Sahner ◽  
A. Kurth ◽  
B. Habermann

Summary Purpose Purpose of this retrospective study was to evaluate our own results after total knee replacement in patients with haemophilia. Patients, material, method: 30 patients with haemophilia who underwent total knee replacement between 1987 and 2005 were included. We used the clinical and radiological Knee Society Score. Furthermore, the Petterson and the Arnold and Hilgartner score were applied. Results: The mean age at the time of surgery was 43.2 (27–66). At the time of follow- up examination the mean age was 51.6 (30–82) years. The mean follow-up was 7.1 (2–20) years. Preoperative, he mean Arnold and Hilgartner score was 4.17 (± 0.59) and the mean Petterson-Score was 9 ± 2.29. Compared to the preoperative deficiency in knee function (KSS-Score 88.17 ± 33.58) an improvement with 166.67 (± 22.73) points was seen. 1 patient showed an aseptic loosening after 11 years. Discussion: Total knee replacement in patients with haemophilia improves knee function and quality of life. The results of our study represent results in earlier published studies. Compared to a non-haemo-philic normal population the rate of perioper-ative complications was not increased.


2017 ◽  
Vol 29 (6) ◽  
pp. 974-977 ◽  
Author(s):  
Jiyeon Lee ◽  
Jung-hee Kim ◽  
Eun-jung Jung ◽  
Byoung-Hee Lee

2004 ◽  
Vol 12 (2) ◽  
pp. 140-143 ◽  
Author(s):  
Susanne Fuchs ◽  
Christian Sandmann ◽  
Georg Gerdemann ◽  
Adrian Skwara ◽  
Carsten O. Tibesku ◽  
...  

2020 ◽  
Vol 9 (5) ◽  
pp. 1298
Author(s):  
Stephan Heisinger ◽  
Wolfgang Hitzl ◽  
Gerhard M. Hobusch ◽  
Reinhard Windhager ◽  
Sebastian Cotofana

The aim of the study was to longitudinally investigate symptomatic and structural factors prior to total knee replacement (TKR) surgery in order to identify influential factors that can predict a patient’s need for TKR surgery. In total, 165 participants (60% females; 64.5 ± 8.4 years; 29.7 ± 4.7 kg/m2) receiving a TKR in any of both knees within a four-year period were analyzed. Radiographic change, knee pain, knee function and quality of life were annually assessed prior to the TKR procedure. Self-learning artificial neural networks were applied to identify driving factors for the surgical procedure. Significant worsening of radiographic structural change was observed prior to TKR (p ≤ 0.0046), whereas knee symptoms (pain, function, quality of life) worsened significantly only in the year prior to the TKR procedure. By using our prediction model, we were able to predict correctly 80% of the classified individuals to undergo TKR surgery with a positive predictive value of 84% and a negative predictive value of 73%. Our prediction model offers the opportunity to assess a patient’s need for TKR surgery two years in advance based on easily available patient data and could therefore be used in a primary care setting.


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