Objective To explore the trajectory of disability acceptance and the factors influencing it in first stroke patients.Methods A total of 202 first-ever stroke patients admitted to Wenzhou Central Hospital from December 2022 to December 2023 were selected,low acceptance group(n=38),medium acceptance group(n=96),and high acceptance group(n=68)based on the trajectory of disability acceptance after discharge.Multivariate Logistic regression was applied to explore the factors affecting disability acceptance in first-episode stroke patients.Results The total score of acceptance of disability scale-revised(ADS-R)in stroke patients was(89.93±13.51)points.There were differences between three groups in terms of age,education level,family income,caregiver or no caregiver,severity of illness,medical social support scale(MOS-SSS)scores,herth hope index(HHI)scores,and patient health questionnaire depression scale-9 scores(P＜0.05).Multivariate Logistic regression analysis reveled that age(OR=12.419,95％CI:3.967-38.882),absence of caregiver(OR=5.793,95％CI:1.989-16.875),severity of the condition(OR=5.724,95％CI:1.927-16.999)were risk factors affecting disability acceptance in first-episode stroke patients(P＜0.05),while educational level(OR=0.207,95％CI:0.069-0.624),household income(OR=0.238,95％CI:0.079-0.712),and MOS-SSS score(OR=0.502,95％CI:0.303-0.832)were protective factors(P＜0.05).Conclusion There are three different trajectories of disability acceptance in first-episode stroke patients.Age,presence or absence of caregivers,severity of the condition,education level,household income,and MOS-SSS score are influencing factors of disability acceptance in first-episode stroke patients and can be used as predictive factors for disability acceptance trajectories.

Objective To explore the trajectory of disability acceptance and the factors influencing it in first stroke patients.Methods A total of 202 first-ever stroke patients admitted to Wenzhou Central Hospital from December 2022 to December 2023 were selected,low acceptance group(n=38),medium acceptance group(n=96),and high acceptance group(n=68)based on the trajectory of disability acceptance after discharge.Multivariate Logistic regression was applied to explore the factors affecting disability acceptance in first-episode stroke patients.Results The total score of acceptance of disability scale-revised(ADS-R)in stroke patients was(89.93±13.51)points.There were differences between three groups in terms of age,education level,family income,caregiver or no caregiver,severity of illness,medical social support scale(MOS-SSS)scores,herth hope index(HHI)scores,and patient health questionnaire depression scale-9 scores(P＜0.05).Multivariate Logistic regression analysis reveled that age(OR=12.419,95％CI:3.967-38.882),absence of caregiver(OR=5.793,95％CI:1.989-16.875),severity of the condition(OR=5.724,95％CI:1.927-16.999)were risk factors affecting disability acceptance in first-episode stroke patients(P＜0.05),while educational level(OR=0.207,95％CI:0.069-0.624),household income(OR=0.238,95％CI:0.079-0.712),and MOS-SSS score(OR=0.502,95％CI:0.303-0.832)were protective factors(P＜0.05).Conclusion There are three different trajectories of disability acceptance in first-episode stroke patients.Age,presence or absence of caregivers,severity of the condition,education level,household income,and MOS-SSS score are influencing factors of disability acceptance in first-episode stroke patients and can be used as predictive factors for disability acceptance trajectories.

The report introduces a microcomputer controlled instrument which can be used to identify and diagnose acute cerebral apoplexy.The methods of statistics and probability theory are adopted by the instrument to select “body omen” and compute “value”.Z80A is used as the central processing unit and the external device is processed as an internal storage by using linear encodige.The instrurrent uses ZSOA assembly language to make software.