scholarly journals Comparison of survival models and assessment of risk factors for survival of cardiovascular patients at Addis Ababa Cardiac Center, Ethiopia: a retrospective study

2021 ◽  
Vol 21 (3) ◽  
pp. 1201-1213
Author(s):  
Belaynesh Yeniew Enyew ◽  
Zeytu Gashaw Asfaw

Background: Cardiovascular diseases (CVDs) is disorders of heart and blood vessels. It is a major health problem across the world,and 82% of CVD deaths is contributed by countries with low and middle income. The aim of this study was to choose appropriate model for the survival of cardiovascular patients data and identify the factors that affect the survival of cardiovascular patients at Addis Ababa Cardiac Center. Method: A Retrospective study was conducted on patients under follow-up at Addis Ababa Cardiac Center between Sep- tember 2010 to December 2018. The patients included have made either post operation or pre-operation. Out of 1042 car- diac patients, a sample of 332 were selected for the current study using simple random sampling technique. Non-parametric, semi-parametric and parametric survival models were used and comparisons were made to select the appropriate predicting model. Results: Among the sample of 332 cardiac patients, only 67(20.2%) experienced CVD and the remaining 265(79.8%) were censored. The median and the maximum survival time of cardiac patients was 1925 and 1403 days respectively.The estimated hazard ratio of male patients to female patients is 1.926214 (95%CI: 1.111917-3.336847; p = 0.019) implying that the risk of death of male patients is 1.926214 times higher than female cardiac patients keeping the other covariates constant in the model. Even if, all semi parametric and parametric survival models fitted to the current data well, various model comparison criteria showed that parametric/weibull AFT survival model is better than the other. Conclusions: The governmental and non-governmental stakeholders should pay attention to give training on the risk fac- tors identified on the current study to optimize individual’s knowledge and awareness so that death due to CVDs can be minimized. Keywords: Cardiovascular patient; survival analysis; non-parametric; semi-parametric; parametric.

Author(s):  
Ahmad Asnaashari ◽  
Isam Shahrour ◽  
Bahram Gharabaghi ◽  
Edward McBean

An application of survival analysis on Iranian water pipelines failure dataset is employed to shed additional light on the pipeline failure process as well as to extract useful information that can be helpful in future asset management planning. Survival analysis characterizes the distribution of the survival time for different groups of pipes, to compare this survival time among different type of materials. A parametric model is developed to simulate time to failure in the pipe network. The model was calibrated on the historical failure data collected over the period 1995 – 2001, and then it was tested using data since 2002. Using both parametric and non-parametric survival models makes it possible to establish a priority list for future water pipelines rehabilitation undertakings in accordance with their material type. Accordingly, it is recommended that implementation of pipeline rehabilitation projects proceeds firstly on metallic water mains, then on plastic water mains, and finally on cement water pipelines.


2019 ◽  
Vol 03 (05) ◽  
Author(s):  
Joseph Marc S. Seguban ◽  
Karen G. Amoloza-De Leon ◽  
Marie A. Barrientos-Regala ◽  
Michelle Q. Pipo ◽  
Noemi S. Pestano ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Marcela D. Mena ◽  
Angélica A. Moresco ◽  
Sofía H. Vidal ◽  
Diana Aguilar-Cortes ◽  
María G. Obregon ◽  
...  

PurposeTo describe the clinical and molecular spectrum of Stargardt disease (STGD) in a cohort of Argentinean patients.MethodsThis retrospective study included 132 subjects comprising 95 probands clinically diagnosed with STGD and relatives from 16 of them. Targeted next-generation sequencing of the coding and splicing regions of ABCA4 and other phenocopying genes (ELOVL4, PROM1, and CNGB3) was performed in 97 STGD patients.ResultsWe found two or more disease-causing variants in the ABCA4 gene in 69/95 (73%) probands, a single ABCA4 variant in 9/95 (9.5%) probands, and no ABCA4 variants in 17/95 (18%) probands. The final analysis identified 173 variants in ABCA4. Seventy-nine ABCA4 variants were unique, of which nine were novel. No significant findings were seen in the other evaluated genes.ConclusionThis study describes the phenotypic and genetic features of STGD1 in an Argentinean cohort. The mutations p.(Gly1961Glu) and p.(Arg1129Leu) were the most frequent, representing almost 20% of the mutated alleles. We also expanded the ABCA4 mutational spectrum with nine novel disease-causing variants, of which eight might be associated with South American natives.


2020 ◽  
Vol 17 (3) ◽  
pp. 285-289
Author(s):  
Rachel Xuan ◽  
Keith Ong

The aim of this retrospective study was to evaluate whether intraocular (IOP) elevation post-cataract surgery can be reduced by using tropicamide and phenylephrine only, without cyclopentolate. Medical records across two surgical facilities were analyzed. One surgical facility (Cohort A) used a combination of tropicamide, cyclopentolate, and phenylephrine preoperatively, while the other (Cohort B) used tropicamide and phenylephrine only. Of patients in Cohort A, 63.6% (n = 7) had a higher IOP in the operated eye, while it was only 27.3% (n = 3) in Cohort B. Therefore, it is preferable to exclude the use of cyclopentolate in the preoperative dilation regimen of patients undergoing cataract surgery. However, a study with a larger sample population is required to further evaluate the significance of these results.


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