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Clock‐Drawing Test as a Bedside Assessment of Post‐operative Delirium Risk in Elderly Patients with Accidental Hip Fracture

Overview of attention for article published in World Journal of Surgery, October 2017
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Title
Clock‐Drawing Test as a Bedside Assessment of Post‐operative Delirium Risk in Elderly Patients with Accidental Hip Fracture
Published in
World Journal of Surgery, October 2017
DOI 10.1007/s00268-017-4294-y
Pubmed ID
Authors

Claudia C. Vasilian, Simona C. Tamasan, Diana Lungeanu, Dan V. Poenaru

Abstract

Currently applied cognitive tests for assessing the risk of post-operative delirium require time and specialised medical staff, in addition to the patients' mental strain. We investigated the four-point scoring Clock-Drawing Test (CDT-4) as a preoperative independent predictor for post-operative delirium. A total of 100 consecutive patients aged over 65 years admitted for accidental hip fracture were assessed for delirium using the Confusion Assessment Method Scale. The cognitive function was rated with mini-mental state examination, Montreal Cognitive Assessment Scale (MoCA), and CDT-4. Descriptive statistics were performed, and a logistic regression model for post-operative delirium was applied. Out of the 100 enrolled patients 98 underwent hip repair surgery and 65 (66%) had post-operative delirium, with 24 (42%) incident cases. The median (IQR) ages were 78 (72-83) and 84 (80-87) years for the non-delirium and post-operative delirium groups, respectively. The logistic regression concluded with age and CDT-4 as independent preoperative predictors, while controlling for gender, pre-surgery delirium, MoCA visual, and MoCA attention: OR 1.32 [95% CI (1.099-1.585); p = 0.003] for age; OR 0.153 [95% CI (0.033-0.719); p = 0.017] for CDT-4. Employing CDT-4 as a bedside assessment of delirium risk may help to preoperatively stratify and prioritise the patients for preventive perioperative care in a timely manner.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Other 6 13%
Student > Master 6 13%
Student > Ph. D. Student 5 11%
Student > Bachelor 4 9%
Researcher 4 9%
Other 12 26%
Unknown 10 21%
Readers by discipline Count As %
Medicine and Dentistry 16 34%
Nursing and Health Professions 6 13%
Neuroscience 5 11%
Psychology 2 4%
Computer Science 1 2%
Other 6 13%
Unknown 11 23%
Attention Score in Context

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 06 September 2018.
All research outputs
#18,648,325
of 23,102,082 outputs
Outputs from World Journal of Surgery
#3,505
of 4,274 outputs
Outputs of similar age
#249,881
of 326,090 outputs
Outputs of similar age from World Journal of Surgery
#85
of 105 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,274 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.