N-terminal pro-brain natriuretic peptide predicts hospitalization for ischemic stroke in Japanese hemodialysis patients

Yamaoka, Mai; Yoshida, Mahoko; Nakashima, Ayumu; Doi, Shigehiro; Naitô, Takayuki; Takao, Masaki

doi:10.1007/s10157-022-02254-5

Cited by 1 publication

(1 citation statement)

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“…7 Previous studies have suggested that a decreased proportion of peripheral CD4 naive T cells, low levels of serum uric acid and serum phosphate levels, and high levels of plasma NT-proBNP may be risk factors for acute ischemic stroke in patients on hemodialysis. [8][9][10][11][12][13] In addition, AIS in hemodialysis patients has a higher mortality rate, higher disability rate, and worse prognosis than in the general population, which seriously affects the quality of life of hemodialysis patients. 14 Identifying patients at high risk of AIS as early as possible can help physicians actively prevent and intervene, which has important clinical implications.…”

Section: Introductionmentioning

confidence: 99%

Mean Platelet Volume/Platelet Count Ratio as a Predictor of Both Incidence and Prognosis of Acute Ischemic Stroke in Hemodialysis Patients

Ma,

Han,

Sun

et al. 2023

IJGM

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Purpose This study aimed to explore whether the mean platelet volume/platelet count ratio (MPR) has predictive value for the occurrence and prognosis of acute ischemic stroke (AIS) in hemodialysis patients. Patients and Methods A total of 402 patients undergoing maintenance hemodialysis were screened and 259 were enrolled in this study. The receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the predictive power of the models. The patients enrolled in this study were divided into three groups based on the tertiles of the MPR value (Q1, Q2, and Q3). Kaplan-Meier curves were used to investigate the association between the MPR and AIS-free survival in hemodialysis patients. Chi-square analysis was performed to explore the association between the MPR and AIS outcomes in hemodialysis patients. And the AIS outcome was assessed using the modified Rankin Scale (mRS). Results MPR had a predictive value for the occurrence of AIS (AUC=0.814) in hemodialysis patients with a high sensitivity and specificity. AIS-free survival rates in the MPR Q1, MPR Q2, and MPR Q3 groups were 0.930, 0.701, and 0.360, respectively. The proportion of patients with good outcomes (mRS 0–2) was significantly greater among patients in the MPR Q1-Q2 group than in the MPR Q3 group (0.844 vs 0.745, p <0.001). Conclusion The MPR can be used as a good predictor of AIS in patients undergoing hemodialysis. Patients on hemodialysis with increased MPR levels had a higher incidence of AIS and poorer functional outcomes than those with low MPR levels.

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