Predicting mortality using two renal function estimation methods in hospitalised stroke patients

Background: Renal impairment is regularly seen in hospitalized stroke patients, affecting the outcome of patients, as well as causing difficulties in their management. A prospective cohort study was conducted to assess the trend of renal function in hospitalized ischemic and haemorrhagic stroke patients. The incidence of renal impairment in these subgroups, the contributing factors and the need for renal replacement in renal impaired patients was evaluated. Methods: Alternate day renal function testing was performed in hospitalized stroke patients. Estimated glomerular filtration rate (e-GFR) was calculated and the trend of renal function in the two stroke subgroups (haemorrhagic and ischemic) was assessed, with renal impairment defined as e-GFR < 60mL/ minute per 1.73m2. Results: Among 52 patients, 25 had haemorrhagic stroke (mean age 59.81 ± 14.67) and 27 had ischemic stroke (mean age 56.12 ± 13.08). The mean e-GFR (mL/minute per 1.732m2) at admission in the haemorrhagic stroke subgroup was 64.79 ± 25.85 compared to 86.04 ± 26.09 in the ischemic stroke subgroup (p=0.005). Sixteen out of 25 (64%) patients in the haemorrhagic stroke subgroup and 9 out of 27 (33.3%) patients in the ischemic subgroup developed renal impairment (p=0.027). The location of the bleed (p=0.8), volume of hematoma (p=0.966) and surgical intervention (p=0.4) did not predispose the patients to renal impairment. One out of 16 patients with haemorrhagic stroke (who eventually died), and 2 out of 9 patients with ischemic stroke required renal replacement. Conclusion: Renal impairment is commonly seen in stroke patients, more so in patients who suffered haemorrhagic strokes. The impairment, however, is transient and rarely requires renal replacement therapy.

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Long‐Term Earthquake Hazard in North China Estimated from a Modern Catalog

Bulletin of the Seismological Society of America ◽

10.1785/0120190066 ◽

2019 ◽

Vol 109 (6) ◽

pp. 2340-2355 ◽

Cited By ~ 1

Author(s):

Ziyao Xiong ◽

Jiancang Zhuang ◽

Shiyong Zhou

Keyword(s):

Bayesian Method ◽

North China ◽

Voronoi Tessellation ◽

Earthquake Hazard ◽

B Value ◽

Estimation Methods ◽

Earthquake Catalog ◽

Function Estimation ◽

Simulation Experiments

Abstract In this study, to obtain optimal estimates of the earthquake hazard in North China based on the modern earthquake catalog, we used two variable kernel function estimation methods, proposed by Stock and Smith, and Zhuang, the Bayesian Delaunay tessellation smoothing method by Ogata (ODTB), and a newly proposed incomplete centroidal Voronoi tessellation (ICVT) method, to calculate the total and background seismic spatial occurrence rates for the study area. The sophisticated ODTB method is more stable than the others, but is relatively expensive, in terms of computation demands, whereas Zhuang et al.’s kernel estimate and the new ICVT method are able to provide reasonable estimates and easier to implement. We also calculated the spatial variations of the b‐value, using the Bayesian method with smoothness prior proposed by Ogata. Using comparative analyses and simulation experiments, we show that all of the methods give similar spatial patterns of seismic occurrences.

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