A Nomogram to Predict Lifestyle Factors for Recurrence of Large-Vessel Ischemic Stroke
Stroke is the leading cause of morbidity and mortality in China. Recurrent stroke (RS) could occur in a significant portion of patients with ischemic stroke with devastating consequence. To investigate the association between lifestyle and the risk of RS in Chinese patients with acute large-vessel i...
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Veröffentlicht in: | Risk management and healthcare policy 2021, Vol.14, p.365-377 |
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Zusammenfassung: | Stroke is the leading cause of morbidity and mortality in China. Recurrent stroke (RS) could occur in a significant portion of patients with ischemic stroke with devastating consequence.
To investigate the association between lifestyle and the risk of RS in Chinese patients with acute large-vessel ischemic stroke (ALVIS). A total of 258 patients with ALVIS were recruited in the study (median age 63 years, 30.6% female), and followed for a median of 366 days. The primary outcomes were first RS. Cox Regression and Akaike information criterion were used to establish the best-fit nomograms.
During follow-up, 38 of 258 (14.7%) participants had the primary endpoint event. After adjusting for confounding factors in multivariate Cox regression analysis, healthy lifestyles, including bland diet (hazard ratio [HR], 0.365; 95% CI, 0.138-0.965), daily fruit consumption (HR, 0.474; 95% CI, 0.238-0.945), good sleep (HR, 0.364; 95% CI, 0.180-0.739), housework: HR (0.461; 95% CI, 0.200-1.065), and HDL (HR, 0.329; 95% CI, 0.130-0.831) were associated with significantly decreased risk for RS after ALVIS, while smoking was associated with a substantial increase in RS risk (HR, 2.590; 95% CI, 1.340-5.005) and included into the nomogram. A weighted point (from 0 to 100) was given to each risk factor, and the total points could be used to predict the probability of RS for the patient.
The nomogram shows that healthy lifestyles (bland diet, daily fruit consumption, good sleep, cigarette cessation, and housework) were important for reducing RS in patients with ALVIS. |
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ISSN: | 1179-1594 1179-1594 |
DOI: | 10.2147/RMHP.S289761 |