| Title |
Lipid profiles and inflammatory markers after periodontal treatment in children with congenital heart disease and at risk for atherosclerosis
|
|---|---|
| Published in |
Vascular Health and Risk Management, November 2013
|
| DOI | 10.2147/vhrm.s52187 |
| Pubmed ID | |
| Authors |
Adriana Chassot Bresolin, Mariana Menegassi Pronsatti, Larissa Nicole Pasqualotto, Patricia Oehlmeyer Nassar, Alex Sandro Jorge, Edson Antonio Alves da Silva, Carlos Augusto Nassar |
| Abstract |
Due to the biological associations between periodontal and cardiovascular diseases, as well as the fact that atherosclerosis begins in childhood, behavior based on oral health care and metabolic control from an early age is essential for patients with cardiovascular disease. The aim of this research was to examine the effect of full-mouth scaling and root planing on the reduction of periodontal disease in children with congenital heart disease. In this study, treatments were related to clinical periodontal parameters and also to blood ones, such as lipid profile and inflammatory markers. The patients were divided into two groups: group 1 (n=17), scaling and root planing; and group 2 (n=16), full-mouth scaling and root planing. The results showed a significant improvement in clinical periodontal parameters (P<0.05) in both groups. Considering lipid parameters, total cholesterol, triglycerides, and very-low-density lipoprotein parameters showed significant improvement (P<0.05). There was also an improvement in C-reactive protein (ultrasensitive) in the group treated with scaling and root planing (P<0.05). Fibrinogen and interleukin-6 parameters improved (P<0.05) in both groups. We suggest that both periodontal treatments were effective in children with congenital heart disease, though neither demonstrated superiority. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 18% |
| Student > Bachelor | 14 | 16% |
| Student > Postgraduate | 9 | 10% |
| Student > Ph. D. Student | 7 | 8% |
| Professor | 5 | 6% |
| Other | 17 | 20% |
| Unknown | 19 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 41 | 47% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Nursing and Health Professions | 4 | 5% |
| Agricultural and Biological Sciences | 3 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Other | 9 | 10% |
| Unknown | 23 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 25 November 2018.
All research outputs
#16,720,137
of 25,371,288 outputs
Outputs from Vascular Health and Risk Management
#508
of 804 outputs
Outputs of similar age
#136,829
of 226,632 outputs
Outputs of similar age from Vascular Health and Risk Management
#13
of 18 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 804 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one is in the 33rd percentile – i.e., 33% 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 226,632 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.