Improved survival with continuation of statins in bacteremic patients

Ajinkya M Pawar1, Kerry L LaPlante1,2, Tristan T Timbrook2

  • 1Department of Pharmacy Practice, College of Pharmacy, The University of Rhode Island, Kingston, RI, USA.

SAGE Open Medicine
|October 27, 2018
PubMed

Insights

Continuing statin therapy in bacteremic patients with prior adherent use significantly reduces inpatient mortality. This finding highlights the importance of statin adherence for improved survival during sepsis hospitalizations.

Area of Science:

  • Cardiology
  • Infectious Diseases
  • Pharmacology

Background:

  • Statin therapy is widely used for cardiovascular disease prevention.
  • The impact of statin use on mortality in patients with bacteremia is not fully understood.
  • Prior statin exposure may influence outcomes in sepsis.

Purpose of the Study:

  • To evaluate the effect of continuing statin therapy on inpatient mortality in bacteremic patients with prior adherent statin use.
  • To determine if maintaining statin treatment post-admission improves survival in this population.

Main Methods:

  • Retrospective cohort study using linked electronic health record and hospital discharge data (October 2009-March 2013).
  • Inclusion criteria: primary bacteremia diagnosis, 6 months enrollment prior, antibiotic use, and 90 days of adherent statin use before admission.
  • Comparison between patients continuing statin therapy for at least 5 days post-admission versus those who did not.

Main Results:

  • The study included 633 patients, with simvastatin and atorvastatin being the most common statins.
  • Propensity score-adjusted analysis revealed significantly lower inpatient mortality in patients who continued statin therapy (adjusted hazard ratio 0.25).
  • Continuing statin therapy was associated with a 75% increase in survival.

Conclusions:

  • For bacteremic patients with pre-admission statin adherence, continuing statin therapy post-admission is associated with improved survival.
  • Maintaining statin use during hospitalization for bacteremia may be a crucial factor in reducing mortality.
  • These findings support the continuation of statin therapy in patients with bacteremia and prior adherence.
Abstract

Related Concept Videos

Lipid-Lowering Drugs: Statins and Miscellaneous Agents01:20

Lipid-Lowering Drugs: Statins and Miscellaneous Agents

Hyperlipidemia, a medical condition often referred to as high cholesterol, is characterized by abnormally elevated levels of lipids in the bloodstream. When present in excess, these lipids, specifically cholesterol and triglycerides, can lead to serious health complications, often involving cardiovascular diseases. Illnesses like atherosclerosis, heart attacks, and pancreatitis have all been linked to untreated hyperlipidemia. This means controlling and regulating cholesterol and triglyceride...
1.4K
Survival Curves01:18

Survival Curves

Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
718
Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
430
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
789
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
602
Truncation in Survival Analysis01:09

Truncation in Survival Analysis

Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
621