Dose of Hemodialysis and Survival: A Marginal Structural Model Analysis | Zendy

Paungpaga Lertdumrongluk | Zendy; Elani Streja | Zendy; Connie M. Rhee | Zendy; Jongha Park | Zendy; Onyebuchi A. Arah | Zendy; Steven M. Brunelli | Zendy; Allen R. Nissenson | Zendy; Daniel L. Gillen | Zendy; Kamyar KalantarZadeh | Zendy

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Dose of Hemodialysis and Survival: A Marginal Structural Model Analysis

Author(s) -

Paungpaga Lertdumrongluk,

Elani Streja,

Connie M. Rhee,

Jongha Park,

Onyebuchi A. Arah,

Steven M. Brunelli,

Allen R. Nissenson,

Daniel L. Gillen,

Kamyar KalantarZadeh

Publication year - 2014

Publication title -

american journal of nephrology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.394

H-Index - 85

eISSN - 1421-9670

pISSN - 0250-8095

DOI - 10.1159/000362285

Subject(s) - medicine , marginal structural model , proportional hazards model , hazard ratio , hemodialysis , dialysis , confounding , cohort , survival analysis , surgery , confidence interval

Observational studies have consistently demonstrated the survival benefits of a greater dialysis dose in maintenance hemodialysis (MHD) patients, whereas randomized controlled trials have shown conflicting results. The possible causal impact of dialysis dose on mortality needs to be investigated using rich cohort data analyzed with novel statistical methods such as marginal structural models (MSMs) that account for time-varying confounding and exposure.

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