| Title |
Infectious complications in multiple myeloma receiving autologous stem cell transplantation in the past 10 years
|
|---|---|
| Published in |
International Journal of Hematology, August 2017
|
| DOI | 10.1007/s12185-017-2313-2 |
| Pubmed ID | |
| Authors |
Hyunkyung Park, Jeonghwan Youk, Hak Ro Kim, Youngil Koh, Ji Hyun Kwon, Sung-Soo Yoon, Seonyang Park, Pyoeng Gyun Choe, Nam Joong Kim, Myoung-don Oh, Wan Beom Park, Inho Kim |
| Abstract |
Infection is one of the main causes of early-treatment mortality in multiple myeloma (MM) patients during autologous stem cell transplantation (autoSCT). In the present study, we sought to determine the incidence of, and risk factors for, infection during hospital stays after autoSCT. We retrospectively evaluated 324 autoSCT events that occurred in 285 MM patients between 2006 and 2015, and reviewed the clinical characteristics of patients and history of infections. Sixty-eight infection events occurred, including bacteremia (24), other bacterial infections (7), as well as infections caused by Cytomegalovirus (17), Herpes simplex virus (12), Varicella zoster virus (3), Aspergillus (3) and Pneumocystis jiroveci (2). There was no significant difference in number of infections in the 2006-2010 and 2011-2015 periods (P = 0.194). Risk factors for bacteremia included higher beta-2 microglobulin levels at diagnosis [≥3.5 mg/L; adjusted odds ratio (aOR) 3.544 (95% CI 1.070-11.736), P = 0.038] and previous bortezomib treatment [aOR 4.270 (95% CI 1.389-13.125), P = 0.011]. In-hospital mortality occurred in 1.2% of all cases and all were infection-related. In conclusion, infection was the main cause of in-hospital mortality in patients who underwent autoSCT. Bacteremia was the most common type of microbiologically confirmed infection, and was associated with higher beta-2 microglobulin levels and previous bortezomib treatment. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 16% |
| Student > Master | 6 | 14% |
| Other | 5 | 11% |
| Student > Ph. D. Student | 4 | 9% |
| Student > Postgraduate | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 12 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 43% |
| Agricultural and Biological Sciences | 3 | 7% |
| Nursing and Health Professions | 2 | 5% |
| Unspecified | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 16 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 07 November 2019.
All research outputs
#6,485,210
of 22,999,744 outputs
Outputs from International Journal of Hematology
#209
of 1,412 outputs
Outputs of similar age
#103,927
of 317,907 outputs
Outputs of similar age from International Journal of Hematology
#3
of 16 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,412 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 84% 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 317,907 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.