Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia

Background and purpose 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;...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Alemu, Chekol [verfasserIn] Wudu, Habitamu [verfasserIn] Bogale, Bizuayehu [verfasserIn] Getachew, Zerihun [verfasserIn] Nega, Abebe [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	Stroke Survival Time to death Survival analysis

Anmerkung:	© The Author(s) 2024

Übergeordnetes Werk:	Enthalten in: European journal of medical research - BioMed Central, 2000, 29(2024), 1 vom: 09. Sept.
Übergeordnetes Werk:	volume:29 ; year:2024 ; number:1 ; day:09 ; month:09

Links:	Volltext

DOI / URN:	10.1186/s40001-024-02026-9

Katalog-ID:	SPR057262764

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520			\|a Background and purpose 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. Methods 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. Results 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). Conclusions 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.
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allfields	10.1186/s40001-024-02026-9 doi (DE-627)SPR057262764 (SPR)s40001-024-02026-9-e DE-627 ger DE-627 rakwb eng 610 VZ Alemu, Chekol verfasserin (orcid)0000-0002-0443-7133 aut Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Background and purpose 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. Methods 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. Results 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). Conclusions 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. Stroke (dpeaa)DE-He213 Survival (dpeaa)DE-He213 Time to death (dpeaa)DE-He213 Survival analysis (dpeaa)DE-He213 Wudu, Habitamu verfasserin aut Bogale, Bizuayehu verfasserin aut Getachew, Zerihun verfasserin aut Nega, Abebe verfasserin aut Enthalten in European journal of medical research BioMed Central, 2000 29(2024), 1 vom: 09. Sept. (DE-627)375977775 (DE-600)2129989-4 2047-783X nnns volume:29 year:2024 number:1 day:09 month:09 https://dx.doi.org/10.1186/s40001-024-02026-9 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 29 2024 1 09 09
spelling	10.1186/s40001-024-02026-9 doi (DE-627)SPR057262764 (SPR)s40001-024-02026-9-e DE-627 ger DE-627 rakwb eng 610 VZ Alemu, Chekol verfasserin (orcid)0000-0002-0443-7133 aut Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Background and purpose 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. Methods 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. Results 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). Conclusions 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. Stroke (dpeaa)DE-He213 Survival (dpeaa)DE-He213 Time to death (dpeaa)DE-He213 Survival analysis (dpeaa)DE-He213 Wudu, Habitamu verfasserin aut Bogale, Bizuayehu verfasserin aut Getachew, Zerihun verfasserin aut Nega, Abebe verfasserin aut Enthalten in European journal of medical research BioMed Central, 2000 29(2024), 1 vom: 09. Sept. (DE-627)375977775 (DE-600)2129989-4 2047-783X nnns volume:29 year:2024 number:1 day:09 month:09 https://dx.doi.org/10.1186/s40001-024-02026-9 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 29 2024 1 09 09
allfields_unstemmed	10.1186/s40001-024-02026-9 doi (DE-627)SPR057262764 (SPR)s40001-024-02026-9-e DE-627 ger DE-627 rakwb eng 610 VZ Alemu, Chekol verfasserin (orcid)0000-0002-0443-7133 aut Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Background and purpose 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. Methods 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. Results 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). Conclusions 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. Stroke (dpeaa)DE-He213 Survival (dpeaa)DE-He213 Time to death (dpeaa)DE-He213 Survival analysis (dpeaa)DE-He213 Wudu, Habitamu verfasserin aut Bogale, Bizuayehu verfasserin aut Getachew, Zerihun verfasserin aut Nega, Abebe verfasserin aut Enthalten in European journal of medical research BioMed Central, 2000 29(2024), 1 vom: 09. Sept. (DE-627)375977775 (DE-600)2129989-4 2047-783X nnns volume:29 year:2024 number:1 day:09 month:09 https://dx.doi.org/10.1186/s40001-024-02026-9 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 29 2024 1 09 09
allfieldsGer	10.1186/s40001-024-02026-9 doi (DE-627)SPR057262764 (SPR)s40001-024-02026-9-e DE-627 ger DE-627 rakwb eng 610 VZ Alemu, Chekol verfasserin (orcid)0000-0002-0443-7133 aut Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Background and purpose 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. Methods 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. Results 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). Conclusions 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. Stroke (dpeaa)DE-He213 Survival (dpeaa)DE-He213 Time to death (dpeaa)DE-He213 Survival analysis (dpeaa)DE-He213 Wudu, Habitamu verfasserin aut Bogale, Bizuayehu verfasserin aut Getachew, Zerihun verfasserin aut Nega, Abebe verfasserin aut Enthalten in European journal of medical research BioMed Central, 2000 29(2024), 1 vom: 09. Sept. (DE-627)375977775 (DE-600)2129989-4 2047-783X nnns volume:29 year:2024 number:1 day:09 month:09 https://dx.doi.org/10.1186/s40001-024-02026-9 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 29 2024 1 09 09
allfieldsSound	10.1186/s40001-024-02026-9 doi (DE-627)SPR057262764 (SPR)s40001-024-02026-9-e DE-627 ger DE-627 rakwb eng 610 VZ Alemu, Chekol verfasserin (orcid)0000-0002-0443-7133 aut Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Background and purpose 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. Methods 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. Results 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). Conclusions 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. Stroke (dpeaa)DE-He213 Survival (dpeaa)DE-He213 Time to death (dpeaa)DE-He213 Survival analysis (dpeaa)DE-He213 Wudu, Habitamu verfasserin aut Bogale, Bizuayehu verfasserin aut Getachew, Zerihun verfasserin aut Nega, Abebe verfasserin aut Enthalten in European journal of medical research BioMed Central, 2000 29(2024), 1 vom: 09. Sept. (DE-627)375977775 (DE-600)2129989-4 2047-783X nnns volume:29 year:2024 number:1 day:09 month:09 https://dx.doi.org/10.1186/s40001-024-02026-9 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 29 2024 1 09 09
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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). Conclusions The shortened timing of death was significantly predicted by age, hypertension, and baseline complications. 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author	Alemu, Chekol
spellingShingle	Alemu, Chekol ddc 610 misc Stroke misc Survival misc Time to death misc Survival analysis Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia
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topic_title	610 VZ Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia Stroke (dpeaa)DE-He213 Survival (dpeaa)DE-He213 Time to death (dpeaa)DE-He213 Survival analysis (dpeaa)DE-He213
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title	Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia
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title_full	Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia
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title_sort	time to death and its determinant factors of stroke patients at gambella general hospital, gambella, ethiopia
title_auth	Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia
abstract	Background and purpose 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. Methods 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. Results 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). Conclusions 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. © The Author(s) 2024
abstractGer	Background and purpose 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. Methods 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. Results 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). Conclusions 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. © The Author(s) 2024
abstract_unstemmed	Background and purpose 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. Methods 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. Results 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). Conclusions 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. © The Author(s) 2024
collection_details	SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700
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title_short	Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia
url	https://dx.doi.org/10.1186/s40001-024-02026-9
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author2	Wudu, Habitamu Bogale, Bizuayehu Getachew, Zerihun Nega, Abebe
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up_date	2024-09-10T04:49:46.208Z
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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). Conclusions The shortened timing of death was significantly predicted by age, hypertension, and baseline complications. 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Time to death and its determinant factors of stroke patients at Gambella General Hospital, Gambella, Ethiopia

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