[Relative Survival of Patients with Ischemic Stroke].

OBJECTIVE: To estimate the relative survival ratio of patients with ischemic stroke and its risk factors. METHODS: Lifetable and Ederer Ⅱ methods were used to estimate the relative survival ratio of patients with ischemic stroke. The Poission error structure model was adopted to determine the risk factors associated with survival. RESULTS: The patients had 99%, 98%, 98% and 99% relative survival ratio 1 year, 3 years, 5 years and 7 years after stroke, respectively. The relative excess risk of death increased with age [53-62 yr. vs. <53 yr., relative excess risk (RER=26.975, 95%CI: 1.668-410.90, P=0.020 1], higher mRS scores (≥3 vs. <3 points, RER=14.700, 95%CI: 1.05-206.45, P=0.047 3), and under body mass (vs. normal body mass, RER=10.082, 95%CI: 2.076-48.958, P=0.004 2). CONCLUSION: Ischemic stroke patients have a good prognosis, with slightly lower survival rates than the matched general populations. Those who are older, under body mass, and have a higher mRS score have lower survival rates.

[Health Utility of Patients with Stroke Measured by EQ-5D and SF-6D].

OBJECTIVE: To compare EQ-5D and SF-6D for measuring health utility of stroke patients in health economic evaluation studies. METHODS: A prospective cohort study was conducted on 596 stroke patients in the West China Hospital of Sichuan University from 2010 to 2016. Data were collected at baseline through face to face interviews and at the follow-up stages through telephone interviews with a three-month interval. EQ-5D and SF-6D were used for measuring health utility scores of the participants. The consistency of the two instruments was assessed using Bland-Altman plot and Intraclass correlation coefficient (ICC) . Logistic regression models were established to identify predictors of health utility. RESULTS: The participants had a mean utility score of 0.78 (95% confidence interval:0.76, 0.80) in EQ-5D,compared with 0.74 (95% confidence interval: 0.73, 0.76) in SF-6D,and a median (interquartile range) of 0.86 (0.68, 1.00) in EQ-5D and 0.73 (0.62, 0.86) in SF-6D. The 95% limits of agreement between the two instruments ranged from -0.28 to 0.35,with an ICC of 0.67 (95% confidence interval: 0.62,0.71). EQ-5D had a higher ceiling effect. The health utility score of stroke patients changed there rapidly in acute phase (less than 3 months) but barely changed there after.Severity of stroke was a major predictor of health utility scores. CONCLUSION: The two instruments generate inconsistent results in health utility. SF-6D is better for measuring health utility in patients with stroke in China.

[Application of Competing Risks Model in Predicting Smoking Relapse Following Ischemic Stroke].

OBJECTIVE: To determine factors associated with smoking relapse in men who survived from their first stroke. METHODS: Data were collected through face to face interviews with stroke patients in the hospital, and then repeated every three months via telephone over the period from 2010 to 2014. Kaplan-Meier method and competing risk model were adopted to estimate and predict smoking relapse rates. RESULTS: The Kaplan-Meier method estimated a higher relapse rate than the competing risk model. The four-year relapse rate was 43.1% after adjustment of competing risk. Exposure to environmental tobacco smoking outside of home and workplace (such as bars and restaurants) (P=0.01), single (P<0.01), and prior history of smoking at least 20 cigarettes per day (P=0.02) were significant predictors of smoking relapse. CONCLUSION: When competing risks exist, competing risks model should be used in data analyses. Smoking interventions should give priorities to those without a spouse and those with a heavy smoking history. Smoking ban in public settings can reduce smoking relapse in stroke patients.

[Sample Size Calculation using SAS for Phaseâ ¡in Two-stage Clinical Trials of Anti-tumor Drugs].

OBJECTIVE: To compare Gehan two-stage design and Simon two-stage design in sample size calculations for phase Ⅱ clinical trials of anti-tumor drugs. METHODS: We explained the sample size calculation methods with a single-stage design, Gehan two-stage design, and Simon optimal two-stage and minimax two-stage designs in line with the principle of exact binomial probability. By setting up different parameters in SAS macro program, the advantages and disadvantages of these designs were compared. RESULTS: The minimax two-stage design does not increase the maximum sample size compared with the single-stage design. Compared with the Gehan two-stage design, the Simon two-stage design has the advantage of being able to determine an early termination of trials when no or low anti-tumor activities are evident. CONCLUSION: Simon two-stage design is better than single-stage design and Gehan two-stage design. The minimax design is more popular than the optimal design.

Long-term trends and predictors of smoking behaviors among men following first-ever ischemic stroke.

Continued smoking following stroke is associated with adverse outcomes including increased risk of mortality and secondary stroke. The aim of this study was to examine the long-term trends in smoking behaviors and factors associated with smoking relapse among men who survived their first-ever stroke. Data collection for this longitudinal study was conducted at baseline through face-to-face interviews and follow-up was completed every 3 months via telephone, beginning in 2010 and continuing through 2014. Cox proportional hazard regression models were used to identify predictors of smoking relapse behavior. At baseline, 372 male patients were recruited into the study. Totally, 155 (41.7%) of these patients stopped smoking for stroke, and 61 (39.3%) began smoking again within 57 months after discharge with an increasing trend in the number of cigarettes smoked per day. Exposure to environmental tobacco smoke at places outside of home and work (such as bars, restaurants) (HR, 2.34; 95% CI, 1.04-5.29, P=0.04), not having a spouse (HR, 0.12; 95% CI, 0.04-0.36; P=0.0002) and smoking at least 20 cigarettes per day before stroke (HR, 2.42; 95% CI, 1.14-5.14, P=0.02) were predictors of smoking relapse. It was concluded that environmental tobacco smoke is an important determinant of smoking relapse among men who survive their first stroke. Environmental tobacco smoke should be addressed by smoke-free policies in public places.

Long-term Trends and Predictors of Smoking Behaviors among Men Following First-ever Ischemic Stroke / 华中科技大学学报（医学）（英德文版）

Continued smoking following stroke is associated with adverse outcomes including increased risk of mortality and secondary stroke.The aim of this study was to examine the long-term trends in smoking behaviors and factors associated with smoking relapse among men who survived their first-ever stroke.Data collection for this longitudinal study was conducted at baseline through face-to-face interviews and follow-up was completed every 3 months via telephone,beginning in 2010 and continuing through 2014.Cox proportional hazard regression models were used to identify predictors of smoking relapse behavior.At baseline,372 male patients were recruited into the study.Totally,155 (41.7％) of these patients stopped smoking for stroke,and 61 (39.3％) began smoking again within 57 months after discharge with an increasing trend in the number of cigarettes smoked per day.Exposure to environmental tobacco smoke at places outside of home and work (such as bars,restaurants) (HR,2.34;95％ CI,1.04-5.29,P=0.04),not having a spouse (HR,0.12;95％ CI,0.04-0.36;P=0.0002) and smoking at least 20 cigarettes per day before stroke (HR,2.42;95％ CI,1.14-5.14,P=0.02) were predictors of smoking relapse.It was concluded that environmental tobacco smoke is an important determinant of smoking relapse among men who survive their first stroke.Environmental tobacco smoke should be addressed by smoke-free policies in public places.