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DOI 10.1186/s12882-022-02705-x

Медицинская библиотека · BMC nephrology · 2022

Characteristics and predictors of mortality on haemodialysis in Brazil: a cohort of 5,081 incident patients.

Barra Ana Beatriz Lesqueves, Roque-da-Silva Ana Paula, Canziani Maria Eugenia F, Lugon Jocemir R, Strogoff-de-Matos Jorge Paulo

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

BACKGROUND

Although Brazil has one of the largest populations on haemodialysis (HD) in the world, data regarding patients' characteristics and the variables associated with risk of death are scanty.

METHODS

This is a retrospective analysis of all adult patients who initiated on maintenance HD at 23 dialysis centres in Brazil between 2012 and 2017. Patients were censored after 60 months of follow-up or at the end of 2019.

RESULTS

A total of 5,081 patients were included in the analysis. The median age was 59 years, 59.4% were men, 37.5% had diabetes as the cause of kidney failure. Almost 70% had a central venous catheter (CVC) as the initial vascular access, about 60% started dialysis in the hospital, and fluid overload (FO) by bioimpedance assessment was seen in 45% of patients. The 60-month survival rate was 51.4%. In the Cox regression analysis, being older (P<0.0001), starting dialysis in the hospital (P=0.016), having diabetes as the cause of kidney failure (P=0.001), high alkaline phosphatase (P=0.005), CVC as first vascular access (P=0.023), and FO (P<0.0001) were associated with higher death risk, whereas higher body mass index (P=0.015), haemoglobin (P=0.004), transferrin saturation (P=0.002), and serum albumin (P<0.0001) were associated with better survival. The same variables, except initial CVC use (P=0.14), were associated with death risk in an analysis of subdistribution proportional hazards ratio including the competing outcomes.

CONCLUSIONS

The present study gives an overview of a large HD population in a developing country and identifies the main predictors of mortality, including some potentially modifiable ones, such as unplanned initiation of dialysis in the hospital and fluid overload.

Для цитирования: Barra Ana Beatriz Lesqueves, Roque-da-Silva Ana Paula, Canziani Maria Eugenia F, Lugon Jocemir R, Strogoff-de-Matos Jorge Paulo. Characteristics and predictors of mortality on haemodialysis in Brazil: a cohort of 5,081 incident patients.. BMC nephrology. 2022. DOI: 10.1186/s12882-022-02705-x.

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