| Title |
Radiographic Sarcopenia and Self-reported Exhaustion Independently Predict NSQIP Serious Complications After Pancreaticoduodenectomy in Older Adults
|
|---|---|
| Published in |
Annals of Surgical Oncology, August 2015
|
| DOI | 10.1245/s10434-015-4763-1 |
| Pubmed ID | |
| Authors |
Malini D. Sur, Jukes P. Namm, Joshua A. Hemmerich, Mary M. Buschmann, Kevin K. Roggin, William Dale |
| Abstract |
Sarcopenia is linked to poor outcomes after abdominal surgery. We hypothesized that radiographic sarcopenia metrics enhance prediction of complications after pancreaticoduodenectomy (PD) when combined with clinical and frailty data. Preoperative geriatric assessments and CT scans of patients undergoing PD were reviewed. Sarcopenia was assessed at L3 using total psoas area index (TPAI) and weighted average Hounsfield units (HU), i.e., estimates of psoas muscle volume and density. Outcomes included 30-day American College of Surgeons National Surgical Quality Improvement Program (NSQIP) serious complications, Clavien-Dindo complications, unplanned intensive care unit (ICU) admission, hospital length of stay (LOS), non-home facility (NHF) discharge, and readmission rates. Low HU score correlated with NSQIP serious complications (r = -0.31, p = 0.0098), Clavien-Dindo complication grade (r = -0.29, p = 0.0183), unplanned ICU admission (r = -0.28, p = 0.0239), and NHF discharge (r = -0.25, p = 0.0426). Controlling for a "base model" of age, body mass index, American Society of Anesthesiologists score, and comorbidity burden, Fried's exhaustion (odds ratio [OR] 4.72 [1.23-17.71], p = 0.021), and HU (OR 0.88 [0.79-0.98], p = 0.024) predicted NSQIP serious complications. Area under the receiver-operator characteristic (AUC) curves demonstrated that the combination of the base model, exhaustion, and HU trended towards improving the prediction of NSQIP serious complications compared with the base model alone (AUC = 0.81 vs. 0.70; p = 0.09). Additionally, when controlling for the base model, TPAI (β-coefficient = 0.55 [0.10-1.01], p = 0.018) and exhaustion (β-coefficient = 2.47 [0.75-4.20], p = 0.005) predicted LOS and exhaustion (OR 4.14 [1.48-11.6], p = 0.007) predicted readmissions. When combined with clinical and frailty assessments, radiographic sarcopenia metrics enhance prediction of post-PD outcomes. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 50% |
| Australia | 1 | 13% |
| Armenia | 1 | 13% |
| Spain | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 3 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 105 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 14% |
| Researcher | 14 | 13% |
| Other | 11 | 10% |
| Student > Master | 11 | 10% |
| Student > Postgraduate | 8 | 7% |
| Other | 20 | 19% |
| Unknown | 28 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 52 | 49% |
| Nursing and Health Professions | 6 | 6% |
| Engineering | 4 | 4% |
| Business, Management and Accounting | 2 | 2% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 7 | 7% |
| Unknown | 34 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 11 April 2023.
All research outputs
#4,640,595
of 23,556,846 outputs
Outputs from Annals of Surgical Oncology
#1,439
of 6,671 outputs
Outputs of similar age
#57,141
of 265,616 outputs
Outputs of similar age from Annals of Surgical Oncology
#22
of 126 outputs
Altmetric has tracked 23,556,846 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,671 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 78% of its peers.
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