| Title |
Which patient-specific and surgical characteristics influence postoperative pain after THA in a fast-track setting?
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, August 2017
|
| DOI | 10.1186/s12891-017-1725-8 |
| Pubmed ID | |
| Authors |
Yvon M. den Hartog, Gerjon Hannink, Nick T. van Dasselaar, Nina M. Mathijssen, Stephan B. Vehmeijer |
| Abstract |
In our hospital a fast-track setting including a multimodal pain protocol is used for total hip arthroplasty (THA). Despite this multimodal pain protocol there is still a large range in reported postoperative pain between patients, which hinders mobilization and rehabilitation postoperatively. The goal of this study was to identify which patient-specific and surgical characteristics influence postoperative pain after THA in a fast-track setting. All 74 patients with osteoarthritis of the hip who underwent primary THA procedure by anterior supine intermuscular approach between November 2012 and January 2014 were included in this prospective cohort study. The protocol for pain medication was standardized. Postoperative pain determined with the Numeric Rating Score was collected at 17 standardized moments. Linear mixed models were used to examine potential patient-specific and surgical factors associated with increased postoperative pain. Pain patterns differed substantially across individuals. Adjusted for other variables in the model, preoperative use of pain medication (regression coefficient 0.78 (95% CI 0.28-1.26); p = 0.005) and preoperative neuropathic pain scored by DN4 (regression coefficient 0.68 (95% CI 0.15-1.20); p = 0.02) were the only factors significantly associated with higher postoperative pain scores. The knowledge of which factors are associated with higher postoperative pain scores after THA in a fast-track setting may help optimizing perioperative postoperative pain management and preoperative education of these patients. The study was retrospectively registered in the ISRCTN registry under identifier ISRCTN15422220 (date of registration: July 25, 2017). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 9 | 13% |
| Other | 8 | 11% |
| Student > Master | 8 | 11% |
| Student > Ph. D. Student | 6 | 8% |
| Student > Postgraduate | 4 | 6% |
| Other | 8 | 11% |
| Unknown | 29 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 32% |
| Nursing and Health Professions | 9 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Psychology | 3 | 4% |
| Engineering | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 29 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 May 2018.
All research outputs
#20,444,703
of 22,999,744 outputs
Outputs from BMC Musculoskeletal Disorders
#3,666
of 4,091 outputs
Outputs of similar age
#277,058
of 317,235 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#62
of 70 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,091 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,235 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.