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find Keyword "Marginal structural model" 1 results
  • The causal effects of statins to the prognosis of chronic heart failure

    ObjectiveTo evaluate the effect of statins on amino-terminal brain natriuretic peptide (NT-proBNP), grade of New York Heart Association (NYHA), and ejection fraction (EF) in patients with chronic heart failure (CHF) using marginal structural model. MethodsA total of 297 patients with CHF from two medical centers in Shanxi province were sequentially enrolled from January 2018 to December 2020. The medical records were collected. Confounding factors were analyzed by t-test, Chi-square test and logistic regression. The random forest algorithm was used to estimate the weight of inverse probability. The marginal structural model was applied to evaluate the effects of statins. ResultsUsing logistic regression to exclude the influence of baseline confounders, the results showed that statins had no significant effect on the level of NT-proBNP in patients with CHF. The marginal structural model which excluded the influence of baseline confounders, time-dependent confounders and treatment conversion factors showed that statins significantly reduced NT-proBNP (OR=0.699, 95%CI 0.528 to 0.926, P=0.012). Statins had no significant effects on NYHA and EF. ConclusionStatins can effectively reduce the level of NT-proBNP in patients with CHF.

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