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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Severe infections in systemic lupus erythematosus: disease pattern and predictors of infection-related mortality
|
|---|---|
| Published in |
Clinical Rheumatology, April 2018
|
| DOI | 10.1007/s10067-018-4102-6 |
| Pubmed ID | |
| Authors |
C. L. Teh, S. A. Wan, G. R. Ling |
| Abstract |
Infection is a major cause of morbidity and mortality among patients with systemic lupus erythematosus (SLE). To describe the pattern of serious infections in patients with SLE and to identify the predictors of infection-related mortality among SLE patients with serious infections, we prospectively studied all SLE patients who were hospitalized with infections in Sarawak General Hospital during 2011-2015. Demographic data, clinical features, and outcomes were collected. Cox regression analysis was carried out to determine the independent predictors of infection-related mortality. There were a total of 125 patients with 187 episodes of serious infections. Our patients were of multiethnic origins with female predominance (89.6%). Their mean age was 33.4 ± 14.2 years. The patients had a mean disease duration of 66.8 ± 74.0 months. The most common site of infection was pulmonary (37.9%), followed by septicemia (22.5%). Gram-negative organisms (38.2%) were the predominant isolates within the cohort. There were 21 deaths (11.2%) during the study period. Independent predictors of infection-related mortality among our cohort of SLE patients were flare of SLE (HR 3.98, CI 1.30-12.21) and the presence of bacteremia (HR 2.54, CI 0.98-6.59). Hydroxychloroquine was protective of mortality from serious infections (HR 9.26, CI 3.40-25.64). Pneumonia and Gram-negative organisms were the predominant pattern of infection in our SLE cohort. The presence of flare of SLE and bacteremia were independent prognostic predictors of infection-related mortality, whereas hydroxychloroquine was protective of infection-related mortality among SLE patients with serious infections. |
X Demographics
The data shown below were collected from the profiles of 28 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 | 9 | 32% |
| United Kingdom | 4 | 14% |
| Spain | 1 | 4% |
| Colombia | 1 | 4% |
| Saudi Arabia | 1 | 4% |
| Argentina | 1 | 4% |
| Mexico | 1 | 4% |
| Italy | 1 | 4% |
| Canada | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 8 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 82% |
| Practitioners (doctors, other healthcare professionals) | 4 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 16% |
| Student > Master | 9 | 13% |
| Student > Postgraduate | 8 | 12% |
| Other | 7 | 10% |
| Researcher | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 19 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 30 | 43% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Nursing and Health Professions | 3 | 4% |
| Immunology and Microbiology | 3 | 4% |
| Unspecified | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 24 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 May 2020.
All research outputs
#1,901,746
of 25,013,458 outputs
Outputs from Clinical Rheumatology
#192
of 3,260 outputs
Outputs of similar age
#39,900
of 332,916 outputs
Outputs of similar age from Clinical Rheumatology
#4
of 66 outputs
Altmetric has tracked 25,013,458 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,260 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 94% 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 332,916 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 66 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 95% of its contemporaries.