| Title |
Risk factors and characteristics of blood stream infections in patients with newly diagnosed multiple myeloma
|
|---|---|
| Published in |
BMC Infectious Diseases, January 2017
|
| DOI | 10.1186/s12879-016-2155-1 |
| Pubmed ID | |
| Authors |
Chun-Teng Huang, Chia-Jen Liu, Po-Shen Ko, Han-Tsung Liu, Yuan-Bin Yu, Liang-Tsai Hsiao, Jyh-Pyng Gau, Cheng-Hwai Tzeng, Tzeon-Jye Chiou, Jin-Hwang Liu, Muh-Hwa Yang, Ling-Ju Huang, Chun-Yu Liu |
| Abstract |
Patients with multiple myeloma are generally immune-compromised either due to pronounced depression in primary antibody responses or because of anti-myeloma therapy. Infection is a major risk factor for early deaths among these patients. The impact of blood stream infections (BSI) on newly diagnosed myeloma patients has been less studied. We aimed to study the incidence and risk factors of BSI within 3 months after diagnosis of multiple myeloma in a tertiary referral center. Between November 2002 and December 2008, consecutive patients with multiple myeloma in Taipei Veterans General Hospital were retrospectively enrolled. Characteristics of patients with or without BSI were collected. Possible factors associated with development of BSI were analyzed by Cox regression. There were a total of 222 patients. The incidence of BSI within 3 months after diagnosis is 11.7%. The patients with BSI had poorer survival outcomes than those without (mortality rate: 50% vs. 20.9%, p < 0.001). Moreover, advanced International Staging System stage (stage III vs. I/II: odds ratio [OR] 2.69, p = 0.049) and poor Eastern Cooperative Oncology Group (ECOG) performance status (ECOG > 2 vs. ≤ 2: OR 3.58, p = 0.005) were the independent risk factors of BSI, whereas immunoglobulin deficiency and low absolute lymphocyte count were not associated with risk of BSI development. Our study highlights the characteristic of myeloma patients with BSI and the importance of disease and host factors on risk of BSI. Myeloma patients with risks of BSI should be properly managed to reduce early mortality. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 2% |
| Unknown | 46 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 7 | 15% |
| Student > Postgraduate | 6 | 13% |
| Student > Master | 6 | 13% |
| Researcher | 5 | 11% |
| Other | 5 | 11% |
| Other | 12 | 26% |
| Unknown | 6 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 47% |
| Nursing and Health Professions | 5 | 11% |
| Immunology and Microbiology | 4 | 9% |
| Psychology | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 7 | 15% |
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 10 January 2017.
All research outputs
#18,966,935
of 23,509,253 outputs
Outputs from BMC Infectious Diseases
#5,701
of 7,831 outputs
Outputs of similar age
#313,656
of 423,272 outputs
Outputs of similar age from BMC Infectious Diseases
#114
of 174 outputs
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