PubMed Health⌕ Search

PubMed · 10737164

Treatment modalities in comparison: when do clinical differences emerge?

Abstract

BACKGROUND: Despite technological advances in dialysis equipment and modalities, the survival, morbidity and quality of life of uraemic patients undergoing regular haemodialysis treatment are still severely affected by acute intradialysis and long-term complications, possibly related to the treatment itself. Convective treatment modalities, such as haemodiafiltration and haemofiltration, are thought to be further improvements over standard diffusive haemodialysis. Moreover, several of the pathways activated in patients during dialysis have the potential to produce many side-effects. These occur three times a week, and are particularly intense in patients dialysed with so-called 'bio-incompatible' membranes. Thus the biocompatibility of dialysis membranes is increasingly recognized as one of the main factors in the improvement of dialysis treatment. METHODS: The main clinical studies to date are reviewed to highlight the clinical effects of different treatment modalities and membranes on the most important acute and long-term haemodialysis-related complications. RESULTS: Epidemiological studies suggest that semisynthetic and synthetic membranes may reduce morbidity and mortality in dialysis patients. Despite the proven biological superiority of biocompatible membranes, we lack definitive evidence that thrice-weekly complement and cell activation over a period of years is detrimental to patients, because the results of prospective randomized studies are conflicting. However, it is important to remember that factors other than the dialysis membrane could influence the 'biocompatibility' of dialysis, including the dialysate, dialyser geometry, the distribution of blood in the dialyser, reuse, the sterilizant and materials used in reprocessing. CONCLUSIONS: Further large-scale prospective and randomized trials with a long follow-up are needed in order to better clarify the clinical effect of different treatment modalities on the morbidity and mortality of patients on chronic renal replacement therapy. In particular, it must be clarified whether the possible clinical differences in treatment modalities are based on differences in the clearance of middle molecules or on biocompatibility, or, more generally, on the increasingly recognized clinical importance of high-flux treatments, and the possible interaction between membrane flux and biocompatibility.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

F Locatelli, C Manzoni. 2000. Treatment modalities in comparison: when do clinical differences emerge?. https://doi.org/10.1093/oxfordjournals.ndt.a027960

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Regulation of protein synthesis by the heme-regulated eIF2alpha kinase: relevance to anemias.

During erythroid differentiation and maturation, it is critical that the 3 components of hemoglobin, alpha-globin, beta-globin, and heme, are made in proper stoichiometry to form stable hemoglobin. Heme-regulated translation mediated by the heme-regulated inhibitor kinase (HRI) provides one major mechanism that ensures balanced synthesis of globins and heme. HRI phosphorylates the alpha-subunit of eukaryotic translational initiation factor 2 (eLF2alpha) in heme deficiency, thereby inhibiting protein synthesis globally. In this manner, HRI serves as a feedback inhibitor of globin synthesis by sensing the intracellular concentration of heme through its heme-binding domains. HRI is essential not only for the translational regulation of globins, but also for the survival of erythroid precursors in iron deficiency. Recently, the protective function of HRI has also been demonstrated in murine models of erythropoietic protoporphyria and beta-thalassemia. In these 3 anemias, HRI is essential in determining red blood cell size, number, and hemoglobin content per cell. Translational regulation by HRI is critical to reduce excess synthesis of globin proteins or heme under nonoptimal disease states, and thus reduces the severity of these diseases. The protective role of HRI may be more common among red cell disorders.

Anemia↗

A test for publication bias in meta-analysis with sparse binary data.

A new test for the detection of publication bias in meta-analysis with sparse binary data is proposed. The test statistic is based on observed and expected cell frequencies, and the variance of the observed cell frequencies. These quantities are utilized in a rank correlation test. Type I error rate and power of the test are evaluated in simulations; results are compared to those of two other commonly used test procedures. Sample sizes were generated according to findings in a survey of eight German medical journals. Simulation results indicate that, in contrast to existing test procedures, the new test holds the prescribed significance level when data are sparse. However, the power of all tests is low in many situations of practical importance.

Anemia↗

Center effects in anemia management of dialysis patients.

This study set out to determine whether there is a center effect on anemia management in hemodialysis patients. The US Renal Data System and Medicare standard analysis files were analyzed. Between-center variation and within-facility correlations in hematocrit values were examined in two separate data sets (years 2000 and 2001) and compared with simulated samples that were composed of random values that assumed no center effect. Mixed-effect models were used to adjust for multiple factors and quantify the within-facility correlation in hematocrit values. Expected hematocrit values were compared in patients who underwent dialysis at poor and superior performing facilities with fixed characteristics including epoetin alpha dosing. There was a wider center variation in hematocrit for the actual versus simulated data and a coefficient of variation of 4.1% for the former versus 1.7% for the latter, in both years. The within-facility correlation for hematocrit was 0.053 (95% confidence interval 0.050 to 0.056; P < 0.001) in 2000 with similar values in 2001 but no within-facility correlation in the simulated data. The impact of these findings was demonstrated with a difference in expected hematocrit for a patient who was treated with fixed-dosage epoetin alpha in the poorest versus best performing units (mean difference in expected hematocrit 3.06; 95% confidence interval 3.03 to 3.09; P < 0.001). Key attributes of a center effect on anemia management in hemodialysis have been identified. The presence of a center effect suggests that there are facility-specific processes that influence performance in dialysis anemia management and are independent of commonly titrated inputs, such as dosing of erythropoietic agents.

Anemia↗