{"title":"埃塞俄比亚甘贝拉总医院中风患者的死亡时间及其决定因素","authors":"Chekol Alemu, Habitamu Wudu, Bizuayehu Bogale, Zerihun Getachew, Abebe Nega","doi":"10.1186/s40001-024-02026-9","DOIUrl":null,"url":null,"abstract":"A stroke or a cerebrovascular accident is a common cause of death and a leading cause of long-term, severe disability in both developed and developing countries. The most recent global burden of disease report states that there were 11.9 million new cases of stroke worldwide; stroke accounts for nearly 1 in 8 deaths globally (12%, 6.5 million deaths) and claims a life every 5 s, making it the second most common cause of death worldwide. The goal of the study was to identify the most important factors influencing stroke patients' time to death at Gambella General Hospital. Data was gathered from patient files in a hospital using a retrospective study methodology, spanning the period from September 2018 to September 2020. R 3.4.0 statistical software and STATA version 14.2 were used for data entry and analysis. The survival time was compared using the log-rank tests and the Kaplan–Meier survival curve. The fitness of the Cox proportional hazard model was examined. The final model that was fitted was the log-logistic AFT model. A statistically significant correlation was defined as having a p value of less than 0.05 and the accelerated factor (γ) with its 95% confidence interval was employed. Eight days was the total median death time (95% CI 6–10). Significant predictors for shortened mortality time were age (γ = 0.94; 95% CI (0.0.920–0.980), hypertension (γ = 0.63; 95% CI (0.605–0.660), and baseline complications (γ = 0.24; 95% CI (0.223–0.256). The shortened timing of death was significantly predicted by age, hypertension, and baseline complications. In light of the study's findings, health administrators and caregivers should work to improve society's overall health.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia\",\"authors\":\"Chekol Alemu, Habitamu Wudu, Bizuayehu Bogale, Zerihun Getachew, Abebe Nega\",\"doi\":\"10.1186/s40001-024-02026-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A stroke or a cerebrovascular accident is a common cause of death and a leading cause of long-term, severe disability in both developed and developing countries. The most recent global burden of disease report states that there were 11.9 million new cases of stroke worldwide; stroke accounts for nearly 1 in 8 deaths globally (12%, 6.5 million deaths) and claims a life every 5 s, making it the second most common cause of death worldwide. The goal of the study was to identify the most important factors influencing stroke patients' time to death at Gambella General Hospital. Data was gathered from patient files in a hospital using a retrospective study methodology, spanning the period from September 2018 to September 2020. R 3.4.0 statistical software and STATA version 14.2 were used for data entry and analysis. The survival time was compared using the log-rank tests and the Kaplan–Meier survival curve. The fitness of the Cox proportional hazard model was examined. The final model that was fitted was the log-logistic AFT model. A statistically significant correlation was defined as having a p value of less than 0.05 and the accelerated factor (γ) with its 95% confidence interval was employed. Eight days was the total median death time (95% CI 6–10). Significant predictors for shortened mortality time were age (γ = 0.94; 95% CI (0.0.920–0.980), hypertension (γ = 0.63; 95% CI (0.605–0.660), and baseline complications (γ = 0.24; 95% CI (0.223–0.256). The shortened timing of death was significantly predicted by age, hypertension, and baseline complications. 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引用次数: 0
摘要
在发达国家和发展中国家,脑卒中或脑血管意外是常见的死亡原因,也是导致长期严重残疾的主要原因。最新的全球疾病负担报告指出,全球有 1190 万例新发中风病例;全球每 8 例死亡中就有 1 例死于中风(占 12%,650 万例死亡),每 5 秒就有 1 人因此丧生,是全球第二大常见死因。这项研究的目的是找出影响甘贝拉综合医院中风患者死亡时间的最重要因素。采用回顾性研究方法从医院的患者档案中收集数据,时间跨度为 2018 年 9 月至 2020 年 9 月。数据录入和分析使用了 R 3.4.0 统计软件和 STATA 14.2 版。采用对数秩检验和 Kaplan-Meier 生存曲线比较生存时间。对 Cox 比例危险模型的适用性进行了检验。最后拟合的模型是对数逻辑 AFT 模型。具有统计学意义的相关性定义为 p 值小于 0.05,并采用加速因子 (γ)及其 95% 置信区间。总死亡时间中位数为 8 天(95% 置信区间为 6-10)。年龄(γ = 0.94;95% CI (0.0.920-0.980))、高血压(γ = 0.63;95% CI (0.605-0.660))和基线并发症(γ = 0.24;95% CI (0.223-0.256))是缩短死亡时间的重要预测因素。年龄、高血压和基线并发症可显著预测死亡时间的缩短。鉴于研究结果,健康管理者和护理人员应努力提高社会的整体健康水平。
Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia
A stroke or a cerebrovascular accident is a common cause of death and a leading cause of long-term, severe disability in both developed and developing countries. The most recent global burden of disease report states that there were 11.9 million new cases of stroke worldwide; stroke accounts for nearly 1 in 8 deaths globally (12%, 6.5 million deaths) and claims a life every 5 s, making it the second most common cause of death worldwide. The goal of the study was to identify the most important factors influencing stroke patients' time to death at Gambella General Hospital. Data was gathered from patient files in a hospital using a retrospective study methodology, spanning the period from September 2018 to September 2020. R 3.4.0 statistical software and STATA version 14.2 were used for data entry and analysis. The survival time was compared using the log-rank tests and the Kaplan–Meier survival curve. The fitness of the Cox proportional hazard model was examined. The final model that was fitted was the log-logistic AFT model. A statistically significant correlation was defined as having a p value of less than 0.05 and the accelerated factor (γ) with its 95% confidence interval was employed. Eight days was the total median death time (95% CI 6–10). Significant predictors for shortened mortality time were age (γ = 0.94; 95% CI (0.0.920–0.980), hypertension (γ = 0.63; 95% CI (0.605–0.660), and baseline complications (γ = 0.24; 95% CI (0.223–0.256). The shortened timing of death was significantly predicted by age, hypertension, and baseline complications. In light of the study's findings, health administrators and caregivers should work to improve society's overall health.