The Factors Affecting Survival in Geriatric Hemodialysis Patients

Tuğcu, Murat; Kasapoğlu, Umut Sabri; Şahin, Gülizar Manga; Apaydın, Süheyla

doi:10.1155/2018/5769762

Cited by 10 publications

(20 citation statements)

References 23 publications

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“…The findings of present study revealed that older age was related to higher mortality in dialysis patients. This result is consistent with that of the previous studies [16,17]. Also, similar to the present study, Tsur's study confirmed that higher BMI, was significantly associated with longer survival [17], hence, high BMI is protective in these patients.…”

Section: Discussionsupporting

confidence: 93%

Survival Analysis in The Presence of a Cure Fraction Using Data of Dialysis Patients: A Bayesian Approach

Rafati

Baneshi

Hassani

et al. 2021

Preprint

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Background: The aim of this study was to evaluate the goodness of fit of Bayesian mixture and non-mixture cure models to find the factors affecting dialysis patient’s survival time where a significant proportion of the population has a long-term survival.Study Design: A retrospective cohort study. Methods: The data of 252 dialysis patients were used among whom 35 cases died. Since in this study a part of the population had long-term survival, Bayesian cure models were used and evaluated using DIC index. The data were analyzed by R and Openbugs Softwares. Results: Of the 252 dialysis patients, 136(54%) were males and the mean (SD) age was 53.39 (18.09) years. The patient’s follow-up time mean (SD) was 10.93(7.82) years. The 10 and 20-year survival rate of these patients were 87% and 73%, respectively. The findings show that the best fitting belonged to the Bayesian Non-mixture Cure Model (BNCM) with Dagum distribution. The variables of age, Body Mass Index, dialysis duration, frequency of dialysis, age of onset of dialysis, and occupation affected patients' survival based on BNCM with Dagum distribution.Conclusions: The results demonstrated that the BNCM with Dagum distribution can be a good selection model to analyze survival data, where there is the possibility of a fraction of cure.

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Section: Discussionsupporting

confidence: 93%

Survival Analysis in The Presence of a Cure Fraction Using Data of Dialysis Patients: A Bayesian Approach

Rafati

Baneshi

Hassani

et al. 2021

Preprint

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“…We found a mortality rate (59%) similar to those reported in developed countries varying from 46-66% [14][15][16][17][18]. As known in adult populations, cardiovascular and infection remain the main causes of death described in older hemodialysis patients [14].…”

Section: Mortalitysupporting

confidence: 80%

“…As noted by many authors [8,14,16,18,19], elderly patients with high comorbidity index had lower survival (13 months vs. 22 months, p=0.04). As most of our patients had a low comorbidity index, it could explain our survival rate comparable to survival rate in India and Austria.…”

Section: Mortalitymentioning

confidence: 63%

Survival of Elderly Patients on Maintenance Hemodialysis: A 6 Years? Experience from a Resource-Limited Country

Fmeh¹,

Kf²,

Tth³

et al. 2019

J Nephrol Ther

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Background: With the improvement of life expectancy in developing countries, there is a growing population of elderly admitted on maintenance hemodialysis. This study assessed the survival among incident elderly patients on maintenance hemodialysis in Cameroon. Patients and method: We carried out a retrospective cohort study of 6.3 years in the main hemodialysis units of Cameroon. All incident chronic hemodialysis patients of at least 65 years of age at dialysis initiation were included. Participants were followed for a minimum of 4 months up until death or abandon of dialysis. Their baseline characteristics and survival outcome were assessed. Results: A total of 107 patients were included in this study, representing a cumulative incidence of hemodialysis among elderly patients of 10.9% during the study period. The median age at dialysis initiation was 68 years [IQR 66-72]. The median modified Charlson Comorbidity Index (mCCI) was 2 [IQR 2-5], and 35 (33%) patients had a comorbidity index greater than 3. Emergency dialysis at initiation was noted in 71 (69%) participants. Twenty four (22.5%) patients were hospitalized, mainly because of sepsis. The median survival time was 19.5 months [IQR 42-6]. Survival rates at 1 year and 2 year were 65.4% and 41.5%, respectively. The lowest survival time (4 months) was observed in the very elderly (> 80 years) with high comorbidity index. Patients with a history of hospitalization and those with emergency dialysis initiation also had low survival rates. Conclusion: In our setting, one out of ten incident hemodialysis patients is an elderly. Nearly two-thirds of elderly are still alive one year after hemodialysis initiation. Comorbidity, emergency dialysis initiation and hospitalization are the main factors associated with mortality.

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“…Eleven studies assessed the association between age and mortality in elderly haemodialysis patients [ 10 , 11 , 14 , 19 , 21 , 22 , 25 , 27 , 32 , 34 , 35 ]. A random-effect model was used to analyse these eleven studies because there was heterogeneity between them ( p < 0.001, I 2 = 97%).…”

Section: Resultsmentioning

confidence: 99%

“…Three studies assessed the association between dialysis initiation time and mortality in elderly haemodialysis patients [ 19 , 23 , 28 ]. The results showed no heterogeneity between studies ( p = 0.26, I 2 = 26%), so we used a fixed-effect model.…”

Section: Resultsmentioning

confidence: 99%

Risk factors for mortality in elderly haemodialysis patients: a systematic review and meta-analysis

Song

Cai²,

Xiao

et al. 2020

BMC Nephrol

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Background: Older haemodialysis patients accompany a high burden of functional impairment, limited life expectancy, and healthcare utilization. This meta-analysis aimed to evaluate how various risk factors influenced the prognosis of haemodialysis patients in late life, which might contribute to decision making by patients and care providers. Methods: PubMed, Embase, and Cochrane Central were searched systematically for studies evaluating the risk factors for mortality in elderly haemodialysis patients. Twenty-eight studies were included in the present systematic review. The factors included age, cardiovascular disease, diabetes mellitus, type of vascular access, dialysis initiation time, nutritional status and geriatric impairments. Geriatric impairments included frailty, cognitive or functional impairment and falls. Relative risks with 95% confidence intervals were derived.

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The Factors Affecting Survival in Geriatric Hemodialysis Patients

Cited by 10 publications

References 23 publications

Survival Analysis in The Presence of a Cure Fraction Using Data of Dialysis Patients: A Bayesian Approach

Survival Analysis in The Presence of a Cure Fraction Using Data of Dialysis Patients: A Bayesian Approach

Survival of Elderly Patients on Maintenance Hemodialysis: A 6 Years? Experience from a Resource-Limited Country

Risk factors for mortality in elderly haemodialysis patients: a systematic review and meta-analysis

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