| Title |
Oral Fluoroquinolone and the Risk of Aortic Dissection
|
|---|---|
| Published in |
JACC, September 2018
|
| DOI | 10.1016/j.jacc.2018.06.067 |
| Pubmed ID | |
| Authors |
Chien-Chang Lee, Meng-tse Gabriel Lee, Ronan Hsieh, Lorenzo Porta, Wan-Chien Lee, Si-Huei Lee, Shy-Shin Chang |
| Abstract |
Previous studies raised safety concerns on the association between fluoroquinolone treatment and serious collagen disorders, aortic aneurysm and dissection (AA/AD). This study sought to evaluate this association via a case-crossover analysis in a large national administrative database. A case-crossover design was used to compare the distributions of fluoroquinolone exposure for the same patient across a 60-day period before the AA/AD event (hazard period) and 1 randomly selected 60-day period (referent period) between 60 to 180 days before the AA/AD events. In the sensitivity analysis, the authors repeated the main analysis using a 1:5 ratio of hazard period to referent period, to adjust for the effect of time-variant confounders. A disease-risk score-matched time control analysis was performed to investigate the potential time-trend bias. The risks were calculated by a conditional logistic regression model. A total of 1,213 hospitalized AA/AD patients were identified between 2001 and 2011. In the main case-crossover analysis, exposure to fluoroquinolone was more frequent during the hazard periods than during the referent periods (1.6% vs. 0.6%; odds ratio [OR]: 2.71; 95% confidence interval [CI]: 1.14 to 6.46). In the sensitivity analysis, after adjustment for infections and co-medications, the risk remains significant (OR: 2.05; 95% CI: 1.13 to 3.71). An increased risk of AA/AD was observed for prolonged exposure to fluoroquinolones (OR: 2.41 for 3- to 14-day exposure; OR: 2.83 for >14-day exposure). Susceptible period analysis revealed that the use of fluoroquinolone within 60 days was associated with the highest risk of AA/AD. In the case-time-control analysis, there was no evidence that the observed association is due to temporal changes in fluoroquinolone exposure. Exposure to fluoroquinolone was substantially associated with AA/AD. This risk was modified by the duration of fluoroquinolone use and the length of the hazard period. |
X Demographics
The data shown below were collected from the profiles of 327 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 | 50 | 15% |
| Spain | 19 | 6% |
| Mexico | 17 | 5% |
| United Kingdom | 16 | 5% |
| Colombia | 12 | 4% |
| Japan | 11 | 3% |
| Australia | 10 | 3% |
| Ecuador | 8 | 2% |
| Canada | 7 | 2% |
| Other | 65 | 20% |
| Unknown | 112 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 228 | 70% |
| Practitioners (doctors, other healthcare professionals) | 50 | 15% |
| Scientists | 40 | 12% |
| Science communicators (journalists, bloggers, editors) | 9 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 90 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 11 | 12% |
| Researcher | 10 | 11% |
| Student > Master | 10 | 11% |
| Student > Ph. D. Student | 7 | 8% |
| Student > Postgraduate | 7 | 8% |
| Other | 18 | 20% |
| Unknown | 27 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 44% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 8% |
| Agricultural and Biological Sciences | 2 | 2% |
| Nursing and Health Professions | 1 | 1% |
| Veterinary Science and Veterinary Medicine | 1 | 1% |
| Other | 8 | 9% |
| Unknown | 31 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 231. 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 November 2023.
All research outputs
#167,304
of 25,837,817 outputs
Outputs from JACC
#366
of 17,045 outputs
Outputs of similar age
#3,327
of 348,640 outputs
Outputs of similar age from JACC
#15
of 248 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,045 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. This one has done particularly well, scoring higher than 97% of its peers.
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 348,640 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 248 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.