| Title |
Production of inflammatory cytokines, cortisol, and Aβ1-40 in elderly oral cancer patients with postoperative delirium
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, October 2016
|
| DOI | 10.2147/ndt.s113077 |
| Pubmed ID | |
| Authors |
Lulu Sun, Peiyu Jia, Junfeng Zhang, Xin Zhang, Yiwei Zhang, Hong Jiang, Wei Jiang, Yong Guo |
| Abstract |
Pathophysiological disorders after surgery might be related to postoperative delirium (POD). This study was designed to elucidate the pathogenesis of POD in elderly oral cancer patients by determining the perioperative kinetics of inflammatory cytokines, cortisol, and amyloid β1-40 (Aβ1-40). A total of 257 elderly oral cancer patients who underwent tumor resection surgery were selected. Venous blood was collected prior to surgery (T0), at the end of surgery (T1), and at 12 hours after surgery (T2). During the first three postoperative days, patients were examined using the confusion assessment method twice a day (8 am and 8 pm). Mini-Mental State Examination scores were recorded at T0 and on postoperative days 1, 3, and 7. Ultimately, 56 patients suffering from POD made up the POD group, and 56 patients randomly selected from a cohort of patients without POD were allocated to the no POD (NPOD) group. Subsequently, interleukin-6, C-reactive protein, procalcitonin, cortisol, and Aβ1-40 in plasma from the two groups were measured. The two groups displayed comparable basic characteristics. There were no differences in all tested biomarkers between the two groups at T0. However, after surgery, the biomarker levels displayed distinct patterns between the two groups. The peak levels of all biomarkers were higher in the POD group than in the NPOD group. Conversely, the Mini-Mental State Examination scores after surgery were lower in the POD group than in the no POD group. The boost of inflammatory cytokines, cortisol, and Aβ1-40 after surgery might be involved in POD onset among elderly oral cancer patients. POD was accompanied by progressive cognitive deficiency. |
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 % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 13% |
| Student > Master | 5 | 9% |
| Student > Postgraduate | 5 | 9% |
| Researcher | 5 | 9% |
| Student > Ph. D. Student | 5 | 9% |
| Other | 10 | 19% |
| Unknown | 16 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 45% |
| Neuroscience | 5 | 9% |
| Nursing and Health Professions | 3 | 6% |
| Agricultural and Biological Sciences | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 14 | 26% |
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 27 October 2016.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Neuropsychiatric Disease and Treatment
#2,328
of 3,132 outputs
Outputs of similar age
#257,465
of 332,576 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#79
of 88 outputs
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