Longitudinal causal effect of modified creatinine index on all-cause mortality in patients with end-stage renal disease: Accounting for time-varying confounders using G-estimation.

<h4>Background</h4>Standard regression modeling may cause biased effect estimates in the presence of time-varying confounders affected by prior exposure. This study aimed to quantify the relationship between declining in modified creatinine index (MCI), as a surrogate marker of lean body...

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Main Authors: Mohammad Aryaie, Hamid Sharifi, Azadeh Saber, Farzaneh Salehi, Mahyar Etminan, Maryam Nazemipour, Mohammad Ali Mansournia
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0272212
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author Mohammad Aryaie
Hamid Sharifi
Azadeh Saber
Farzaneh Salehi
Mahyar Etminan
Maryam Nazemipour
Mohammad Ali Mansournia
author_facet Mohammad Aryaie
Hamid Sharifi
Azadeh Saber
Farzaneh Salehi
Mahyar Etminan
Maryam Nazemipour
Mohammad Ali Mansournia
author_sort Mohammad Aryaie
collection DOAJ
description <h4>Background</h4>Standard regression modeling may cause biased effect estimates in the presence of time-varying confounders affected by prior exposure. This study aimed to quantify the relationship between declining in modified creatinine index (MCI), as a surrogate marker of lean body mass, and mortality among end stage renal disease (ESRD) patients using G-estimation accounting appropriately for time-varying confounders.<h4>Methods</h4>A retrospective cohort of all registered ESRD patients (n = 553) was constructed over 8 years from 2011 to 2019, from 3 hemodialysis centers at Kerman, southeast of Iran. According to changes in MCI, patients were dichotomized to either the decline group or no-decline group. Subsequently the effect of interest was estimated using G-estimation and compared with accelerated failure time (AFT) Weibull models using two modelling strategies.<h4>Results</h4>Standard models demonstrated survival time ratios of 0.91 (95% confidence interval [95% CI]: 0.64 to 1.28) and 0.84 (95% CI: 0.58 to 1.23) in patients in the decline MCI group compared to those in no-decline MCI group. This effect was demonstrated to be 0.57 (-95% CI: 0.21 to 0.81) using G-estimation.<h4>Conclusion</h4>Declining in MCI increases mortality in patients with ESRD using G-estimation, while the AFT standard models yield biased effect estimate toward the null.
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spelling doaj.art-47c1bec941c74e95a5ac2d5f9be27fa82022-12-22T01:38:19ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01178e027221210.1371/journal.pone.0272212Longitudinal causal effect of modified creatinine index on all-cause mortality in patients with end-stage renal disease: Accounting for time-varying confounders using G-estimation.Mohammad AryaieHamid SharifiAzadeh SaberFarzaneh SalehiMahyar EtminanMaryam NazemipourMohammad Ali Mansournia<h4>Background</h4>Standard regression modeling may cause biased effect estimates in the presence of time-varying confounders affected by prior exposure. This study aimed to quantify the relationship between declining in modified creatinine index (MCI), as a surrogate marker of lean body mass, and mortality among end stage renal disease (ESRD) patients using G-estimation accounting appropriately for time-varying confounders.<h4>Methods</h4>A retrospective cohort of all registered ESRD patients (n = 553) was constructed over 8 years from 2011 to 2019, from 3 hemodialysis centers at Kerman, southeast of Iran. According to changes in MCI, patients were dichotomized to either the decline group or no-decline group. Subsequently the effect of interest was estimated using G-estimation and compared with accelerated failure time (AFT) Weibull models using two modelling strategies.<h4>Results</h4>Standard models demonstrated survival time ratios of 0.91 (95% confidence interval [95% CI]: 0.64 to 1.28) and 0.84 (95% CI: 0.58 to 1.23) in patients in the decline MCI group compared to those in no-decline MCI group. This effect was demonstrated to be 0.57 (-95% CI: 0.21 to 0.81) using G-estimation.<h4>Conclusion</h4>Declining in MCI increases mortality in patients with ESRD using G-estimation, while the AFT standard models yield biased effect estimate toward the null.https://doi.org/10.1371/journal.pone.0272212
spellingShingle Mohammad Aryaie
Hamid Sharifi
Azadeh Saber
Farzaneh Salehi
Mahyar Etminan
Maryam Nazemipour
Mohammad Ali Mansournia
Longitudinal causal effect of modified creatinine index on all-cause mortality in patients with end-stage renal disease: Accounting for time-varying confounders using G-estimation.
PLoS ONE
title Longitudinal causal effect of modified creatinine index on all-cause mortality in patients with end-stage renal disease: Accounting for time-varying confounders using G-estimation.
title_full Longitudinal causal effect of modified creatinine index on all-cause mortality in patients with end-stage renal disease: Accounting for time-varying confounders using G-estimation.
title_fullStr Longitudinal causal effect of modified creatinine index on all-cause mortality in patients with end-stage renal disease: Accounting for time-varying confounders using G-estimation.
title_full_unstemmed Longitudinal causal effect of modified creatinine index on all-cause mortality in patients with end-stage renal disease: Accounting for time-varying confounders using G-estimation.
title_short Longitudinal causal effect of modified creatinine index on all-cause mortality in patients with end-stage renal disease: Accounting for time-varying confounders using G-estimation.
title_sort longitudinal causal effect of modified creatinine index on all cause mortality in patients with end stage renal disease accounting for time varying confounders using g estimation
url https://doi.org/10.1371/journal.pone.0272212
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