Treatment outcomes for ischemic heart disease in dialysis-dependent patients

Yeates, Alice G.; Hawley, Carmel M.; Mundy, Julie; Pinto, Nigel; Haluska, Brian; Shah, Pallav

doi:10.1177/0218492312437383

Cited by 13 publications

(17 citation statements)

References 24 publications

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“…In the present study, the median survival time was 40 months, at the 95% confidence interval (28.67, 51.33). A study conducted in the U.S. reported a median survival time of 48.4 months (18), whereas another study conducted in Australia reported a median survival time of 52.3 months (25). Many studies found that a mean low serum albumin was associated with lower survival (18, 23, 26).…”

Section: Discussionmentioning

confidence: 99%

Application of Parametric Models to a Survival Analysis of Hemodialysis Patients

Montaseri

Charati

Espahbodi³

2016

Nephrourol Mon

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BackgroundHemodialysis is the most common renal replacement therapy in patients with end stage renal disease (ESRD).ObjectivesThe present study compared the performance of various parametric models in a survival analysis of hemodialysis patients.MethodsThis study consisted of 270 hemodialysis patients who were referred to Imam Khomeini and Fatima Zahra hospitals between November 2007 and November 2012. The Akaike information criterion (AIC) and residuals review were used to compare the performance of the parametric models. The computations were done using STATA Software, with significance accepted at a level of 0.05.ResultsThe results of a multivariate analysis of the variables in the parametric models showed that the mean serum albumin and the clinic attended were the most important predictors in the survival of the hemodialysis patients (P < 0.05). Among the parametric models tested, the results indicated that the performance of the Weibull model was the highest.ConclusionsParametric models may provide complementary data for clinicians and researchers about how risks vary over time. The Weibull model seemed to show the best fit among the parametric models of the survival of hemodialysis patients.

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Section: Discussionmentioning

confidence: 99%

Application of Parametric Models to a Survival Analysis of Hemodialysis Patients

Montaseri

Charati

Espahbodi³

2016

Nephrourol Mon

View full text Add to dashboard Cite

show abstract

“…Sunagawa et al have reported that the cause of mortality in patients with DES was myocardial infarction, while with CABG it was fatal retroperitoneal bleeding, a noncardiac event. Neither Shroff nor Yeates et al have expounded on the actual cause of early mortality in the two cohorts.…”

Section: Resultsmentioning

confidence: 95%

“…). Finally, five retrospective studies (12,035 DES and 6317 CABG patients) were selected for inclusion in the systematic review. One author (P.J.E.)…”

Section: Resultsmentioning

confidence: 99%

“…Repeat intervention was needed in 29% and 12% in the DES and CABG cohorts, respectively (OR 3.72 [2.24–6.18]: p < 0.0001). Apart from Yeates et al, all other pooled studies favored CABG rather than DES. The analysis demonstrates low heterogeneity (I 2 = 47%).…”

Section: Resultsmentioning

confidence: 99%

“…et al 15 Yeates et al 13 Country Japan USA Japan Japan Australia 9 the pooled OR (0.34) was not significant. However, the 95% confidence intervals (0.03-4.00) of this estimate are very wide ( Fig.…”

Section: Terazawamentioning

confidence: 92%

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