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Purpose. Previous studies have demonstrated pronounced reduction of sleep quality following major surgery, which may affect postoperative pain and early recovery. This prospective, randomized, controlled trial was designed to evaluate the effect of zolpidem on sleep quality in fast-track total knee arthroplasty (TKA). Methods. 180 patients who underwent primary TKA were enrolled in this study and randomized 1:1 to receive either zolpidem (Group A) or placebo (Group B) for 6 days. VAS pain scores (rest, ambulation, flexion, and night), range of motion (ROM), opioid analgesics use, postoperative nausea and vomiting (PONV) and other complication, sleep efficacy and patients VAS satisfaction were recorded postoperatively and at 1, 3, 5 after surgery. Sleep quality was measured using the polysomnography (PSG) and Epworth Sleepiness Scale. Results. Sleep efficiency was decreased on all three postoperative nights but returned to pre-admission levels on the fifth postoperative night in Group A. Compared to Group B, Group A showed better sleep quality in early period. It was found that patients taking zolpidem showed greater improvement in quality of life, better patient VAS satisfaction, lower pain VAS score, and less opioid analgesics use. Conclusion. In conclusion, sleep quality is impaired after total knee arthroplasty and zolpidem could improve postoperative sleep or pain and be beneficial to patients' post-TKA early recovery


Bone & Joint Open
Vol. 2, Issue 7 | Pages 493 - 502
12 Jul 2021
George SZ Yan X Luo S Olson SA Reinke EK Bolognesi MP Horn ME

Aims. Patient-reported outcome measures have become an important part of routine care. The aim of this study was to determine if Patient-Reported Outcomes Measurement Information System (PROMIS) measures can be used to create patient subgroups for individuals seeking orthopaedic care. Methods. This was a cross-sectional study of patients from Duke University Department of Orthopaedic Surgery clinics (14 ambulatory and four hospital-based). There were two separate cohorts recruited by convenience sampling (i.e. patients were included in the analysis only if they completed PROMIS measures during a new patient visit). Cohort #1 (n = 12,141; December 2017 to December 2018,) included PROMIS short forms for eight domains (Physical Function, Pain Interference, Pain Intensity, Depression, Anxiety, Sleep Quality, Participation in Social Roles, and Fatigue) and Cohort #2 (n = 4,638; January 2019 to August 2019) included PROMIS Computer Adaptive Testing instruments for four domains (Physical Function, Pain Interference, Depression, and Sleep Quality). Cluster analysis (K-means method) empirically derived subgroups and subgroup differences in clinical and sociodemographic factors were identified with one-way analysis of variance. Results. Cluster analysis yielded four subgroups with similar clinical characteristics in Cohort #1 and #2. The subgroups were: 1) Normal Function: within normal limits in Physical Function, Pain Interference, Depression, and Sleep Quality; 2) Mild Impairment: mild deficits in Physical Function, Pain Interference, and Sleep Quality but with Depression within normal limits; 3) Impaired Function, Not Distressed: moderate deficits in Physical Function and Pain Interference, but within normal limits for Depression and Sleep Quality; and 4) Impaired Function, Distressed: moderate (Physical Function, Pain Interference, and Sleep Quality) and mild (Depression) deficits. Conclusion. These findings suggest orthopaedic patient subgroups differing in physical function, pain, and psychosocial distress can be created from as few as four different PROMIS measures. Longitudinal research is necessary to determine whether these subgroups have prognostic validity. Cite this article: Bone Jt Open 2021;2(7):493–502


Orthopaedic Proceedings
Vol. 95-B, Issue SUPP_34 | Pages 359 - 359
1 Dec 2013
Jung KA Ong AC Jung KA Hwang BY Ahn HS
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Introduction:. Sleep disturbance is the one of major complaints associated with knee osteoarthritis, and sleep status is one factor that influences quality of life. The present study was designed to assess sleep status in patients undergoing total knee arthroplasty and to identify factors affecting sleep patterns. Methods:. We performed a prospective study of 112 patients undergoing total knee arthroplasty from June 2011 to February 2012. Data including demographic characteristics (age, gender, BMI, VAS pain scale score, SF 36, level of education, and psychologic comorbidities) and sleep profiles (Nottingham Health Profile – 0 to 100, with 0 indicating good sleep status; Sleep Satisfaction Scale – 0 to 10, with 10 indicating full satisfaction) was collected before and after (six days, two weeks, three months, and six months) total knee arthroplasty. Results:. There were 11 male and 101 female patients with an average age of 69.3 years (range: 49 to 85 years). The Nottingham Health Profile sleep scores were 30.3, 36.4, 21.0 and 16.7 before and two weeks, three months and six months after surgery, respectively. The corresponding sleep satisfaction scores were 6.6, 7.3, 7.3 and 7.7, respectively. A post-hoc analysis showed that the Nottingham Health Profile and sleep satisfaction scale scores had improved by three and six months after surgery, respectively. Patients with good sleep patterns six months after surgery did not differ from those with poor sleep patterns in terms of demographic characteristics, but a difference was detected in the preoperative sleep profiles between the two groups. Patients with good sleep patterns six months after surgery had better sleep profiles. Additionally, those undergoing unilateral TKA showed significantly better sleep patterns six months after surgery than those undergoing bilateral TKA. Conclusion:. These findings demonstrate that total knee arthroplasty improved sleep quality in patients with osteoarthritis. Sleep quality improvements were observed three months after surgery, and patients' sleep satisfaction increased six months after surgery. We also found that those with good sleep patterns preoperatively had better sleep patterns six months following surgery compared to those with poor preoperative sleep patterns. Patients undergoing unilateral TKA had a better sleep status than those undergoing bilateral TKA


Background. Opiate abuse is a rapidly growing epidemic in the US, and orthopaedic surgeons are among the highest prescribers. While surgeons have relied heavily on opiates after total hip replacement (THR), our goal was to determine whether a multimodal pain regimen could improve pain control and reduce or even obligate the need for opiates. Methods. In a cluster-randomised, crossover trial, we assigned 235 patients undergoing THR to receive either a multimodal pain regimen with a minimal opiate supply (Group A- 10 tablets only), a conventional multimodal regimen (Group B- 60 tablets), or a traditional opiate regimen without multimodal therapy (Group C- 60 tablets). Clusters were determined by surgeon, with each cluster alternating between regimens in 4-week intervals. The multimodal pain regimen comprised standing-dose acetaminophen, meloxicam, and gabapentin. Primary outcomes were VAS pain and daily opiate use for the first 30 days postoperatively. Secondary outcomes included daily assessments of satisfaction, sleep quality, and opiate-related symptoms, hip function at 1-month, and 90-day adverse events. Results. Daily pain was significantly lower in both multimodal groups, Group A (Coeff −0.81, p=0.003) and Group B (Coeff −0.61, p=0.021). While daily opiate utilization and duration of use was also lower for both Group A (Coeff −0.77, p=0.001) and Group B (Coeff −0.30, p=0.04) compared with Group C, Group A also had significantly lower daily opiate use than Group B (Coeff −0.46, p=0.002), and few prescription refills were required in any group. Opiate-related symptoms, in particular fatigue, were significantly lower in Group A compared to Group C (p=0.005), but Group B and C did not differ (p=0.13). Additionally, both multimodal regimens improved satisfaction and sleep, and there was no difference in hip function or adverse events. Conclusions. While a multimodal pain regimen after THR improved pain control and decreased opiate utilization, patients also receiving a minimal opiate supply had a much greater reduction in opiate use and, consequently, fewer opiate-related adverse effects. It's time to rethink traditional approaches to pain management after elective surgery


Orthopaedic Proceedings
Vol. 98-B, Issue SUPP_7 | Pages 50 - 50
1 May 2016
Bravo D Swensen S Lajam C
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Introduction. The Center for Medicare Services (CMS) recently proposed its phase 3 “Quality metrics” which include a section on patient engagement. CMS uses a fitness monitor as an example of an acceptable way for patients to contribute to the health record. Wearable technology allows measurement of activity, blood glucose, heart rate, sleep, and other health metrics, all of which can be useful in the management of patients in the orthopaedic practice. The purpose of this study is to thoroughly review existing fitness devices; and evaluate their potential uses in orthopaedic practice. Methods. Several fitness devices exist; we focused on the top 27 based on popularity mentioned in reputable tech review articles. Features of each device were reviewed including type, specifications, interfaces, measurable outcomes (HR, steps, distance, sleep, weight, calorie intake), cost to the patient, barriers to compliance and strengths. Ultimately all these factors were taken into consideration to look into potential uses for orthopaedic surgery. The orthopedic applications of these devices were reviewed. Nonsurgical management applications were: compliance with physiotherapy, distance walked and stairs completed, and compliance with activity restrictions. Preoperative optimization included detection of sleep apnea, blood glucose monitoring, preoperative weight, and preoperative activity level. Postoperative outcomes included postoperative activity level, stairs, and distance walked. Results. Twenty-seven devices were reviewed of which 26% were targeted for the beginner, 33% for runners and 41% were multipurpose fitness trackers. Most were designed as either a wrist band (26%) or watch (30%). Several used a smartphone as an interface (33%) while the majority (52%) synced automatically via Bluetooth to either the online, mobile device, smartphone or pc application. The majority (37%) had excellent battery life, over 7 days; all were either waterproof (26%) or water resistant (74%), and some (41%) had GPS tracking. A pedometer was included in 85% of devices, 63% monitored HR of which 26% required a separate chest strap or forearm strap, 7% measured respiratory rate and 7% devices measured temperature. Sleep was recorded in 63% of devices, mostly as length of sleep and quality of sleep based on wrist movement. One device was able to differentiate between sleep phases allowing the application of sleep apnea assessment for preoperative testing. Twenty devices monitored weight, twenty two monitored calorie intake, three could monitor glucose readings, seventeen measured distance walked, whereas five measured both stairs and distance walked. A few devices (15%) are already linked to electronic medical records (EMR), the majority allowed for sharing (67%) and 19% are linked to insurance companies which provide incentivized reimbursement rates. Conclusion. The fitness device technology has yet to be explored or implemented widely in orthopaedic surgery. We demonstrated how fitness devices can assist the orthopaedic surgeon in measurement of basic outcomes and can also assist with preoperative, perioperative and postoperative care. Further research is warranted as the use of these devices increases. Patient privacy issues may come into play as more practices employ these devices for their patients