| Title |
Kidney function is associated with severity of white matter hyperintensity in patients with acute ischemic stroke/TIA
|
|---|---|
| Published in |
BMC Neurology, October 2016
|
| DOI | 10.1186/s12883-016-0714-0 |
| Pubmed ID | |
| Authors |
Lixia Zong, Ming Yao, Jun Ni, Lixin Zhou, Jing Yuan, Bin Peng, Yi-Cheng Zhu, Liying Cui |
| Abstract |
Previous studies suggested the potential interactions between cerebrovascular diseases and impaired renal function. However, the relationship between renal function and white matter hyperintensity (WMH), marker of cerebral small vessel disease, in patients with acute ischemic stroke (AIS) or transient ischemic attack (TIA) remains unknown. We consecutively enrolled 1632 subjects with AIS or TIA who underwent brain MRI for this analysis. The severity of WMH in both of periventricular (PVH) and deep subcortical white matter (SDWMH) was evaluated using Fazekas scale. Estimated glomerular filtration rate (eGFR) was calculated by the equation of the Modification Diet for Renal Disease. Multinomial logistic regression was performed to evaluate the association between the severity of WMH and eGFR. Advanced age and hypertension were independently associated with the severity of both PVH and SDWMH (all p < 0.001). There is a significantly inverse association between eGFR and PVH. Patients having each 30 ml/min/1.73 m(2) increase in eGFR was associated with 75 % of risk of having degree 3 of WMH in periventricular areas compared with degree 0 (p = 0.04, OR = 0.75, 95 % CI 0.61-0.92). However this inverse association was not found between eGFR and SDWMH (P = 0.50, OR = 0.93, 95 % CI0.75-1.14). Our study demonstrates that renal dysfunction (eGFR) is independently associated with the severity of PVH but not SDWMH in patients with acute ischemic stroke. This results highlighted different pathological mechanism and risk factors of PVH and SDWMH. |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 22% |
| Researcher | 5 | 19% |
| Student > Doctoral Student | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 9 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 26% |
| Neuroscience | 4 | 15% |
| Social Sciences | 2 | 7% |
| Nursing and Health Professions | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 9 | 33% |
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 11 October 2016.
All research outputs
#20,346,264
of 22,893,031 outputs
Outputs from BMC Neurology
#2,146
of 2,444 outputs
Outputs of similar age
#276,850
of 319,894 outputs
Outputs of similar age from BMC Neurology
#55
of 59 outputs
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