| Title |
Common chronic conditions do not affect performance of cell cycle arrest biomarkers for risk stratification of acute kidney injury
|
|---|---|
| Published in |
Nephrology Dialysis Transplantation, June 2016
|
| DOI | 10.1093/ndt/gfw241 |
| Pubmed ID | |
| Authors |
Michael Heung, Luis M. Ortega, Lakhmir S. Chawla, Richard G. Wunderink, Wesley H. Self, Jay L. Koyner, Jing Shi, John A. Kellum |
| Abstract |
Identification of acute kidney injury (AKI) can be challenging in patients with underlying chronic disease, and biomarkers often perform poorly in this population. In this study we examined the performance characteristics of the novel biomarker panel of urinary tissue inhibitor of metalloproteinases-2 (TIMP2) and insulin-like growth factor-binding protein 7 ([IGFBP7]) in patients with a variety of comorbid conditions. We analyzed data from two multicenter studies of critically ill patients in which [TIMP2]•[IGFBP7] was validated for prediction of Kidney Disease: Improving Global Outcomes (KDIGO) Stage 2 or 3 AKI within 12 h. We constructed receiver operating characteristic (ROC) curves for AKI prediction both overall and by comorbid conditions common among patients with AKI, including diabetes mellitus, congestive heart failure (CHF) and chronic kidney disease (CKD). In the overall cohort of 1131 patients, 139 (12.3%) developed KDIGO Stage 2 or 3 AKI. [TIMP2]•[IGFBP7] was significantly higher in AKI versus non-AKI patients, both overall and within each comorbidity subgroup. The AUC for [TIMP2]•[IGFBP7] in predicting AKI was 0.81 overall. Higher AUC was noted in patients with versus without CHF (0.89 versus 0.79; P = 0.026) and CKD (0.91 versus 0.80; P = 0.024). We observed no significant impairment in the performance of cell cycle arrest biomarkers due to the presence of chronic comorbid conditions. |
X Demographics
The data shown below were collected from the profiles of 7 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 Kingdom | 1 | 14% |
| Peru | 1 | 14% |
| United States | 1 | 14% |
| Venezuela, Bolivarian Republic of | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 32% |
| Student > Bachelor | 8 | 14% |
| Student > Postgraduate | 5 | 9% |
| Professor | 3 | 5% |
| Student > Ph. D. Student | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 12 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 42% |
| Nursing and Health Professions | 6 | 11% |
| Psychology | 4 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 13 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 505. 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 14 October 2016.
All research outputs
#41,360
of 22,879,161 outputs
Outputs from Nephrology Dialysis Transplantation
#4
of 5,969 outputs
Outputs of similar age
#1,006
of 352,801 outputs
Outputs of similar age from Nephrology Dialysis Transplantation
#1
of 99 outputs
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