Effect of Statin Therapy on Sepsis-related Mortality in Intensive Care Unit Patients (HGG_UCI1)

April 5, 2024 updated by: Josep Maria Badia, Hospital de Granollers

Preadmission Use of Statin Therapy and Sepsis-related Mortality in ICU Patients: a Population-based Cohort Study.

The average age of patients with sepsis has increased in recent years in parallel with the incidence of sepsis. Many of these patients are frail and require various medications for the treatment of their chronic diseases. Common treatments, including e.g. sarcopenic drugs (statins, sulphonylureas, methyglinides), antioxidants that prevent sarcopenia (allopurinol) or immunoregulators (corticosteroids) may influence the survival and functional prognosis of these patients. Knowing which drugs influence sepsis survival and to what degree patients who survive sepsis have functional deterioration and increased comorbidity and which modifiable factors limit this may be essential.

Study Overview

Detailed Description

The hypothesis of the study is that poor baseline health status, defined by frailty, comorbidities and chronic drug use, determines sepsis survival and long-term functional status of surviving patients. In addition, the study aims to analize the relationship between different groups of drugs, especially sarcopenal drugs, and sepsis survival in patients admitted to hospitals and Intensive Care Units in a region of 8 million inhabitants. Preliminary data suggest that patients with prior corticosteroid use have poorer survival to sepsis, while chronic statin use may be a protective factor.

This will be a retrospective population-based observational analysis of a large cohort of patients with sepsis using a population-based database over a 2-year period.

The data will be obtained from the Catalan Health System (CatSalut) Minimum Basic Data Set (CMBD) registers (compulsory admissions register for all public and private acute care hospitals in Catalonia, Spain. The registry is intended for the evaluation and optimisation of the use of resources, provides support and improves healthcare planning and facilitates the management of purchases and payments. A cohort of approximately 25,000 patients per year is available from the aforementioned databases (2). Data from 2018 and 2019 (pre-pandemic) will be initially included.

Sepsis will be defined using the methodology described by Angus et al, which is currently referenced for population-based studies, consisting of coding a diagnosis of infection with acute organ failure, or sepsis or septic shock.Patients requiring Intensive Care Unit (ICU) admission were identified from the coded procedures of mechanical ventilation, continuous renal replacement techniques (CRRT), tracheostomy, or extracorporeal membrane oxygenation (ECMO).

To analyse outpatient prescriptions, a patient will be considered to have prior treatment with a given medication if, during the 8 months prior to admission for sepsis, a minimum of 6 containers of that drug had been dispensed. The Anatomical, Therapeutic, Chemical (ATC) drug classification of the World Health Organization (WHO) will be used.

An analysis of demographics, risk factors, baseline status, comorbidities, and previous dependence on health services of all patients admitted to hospitals in the region will be carried out. Overall patients admitted to hospitals and those admitted to ICU will be analysed separately. Survival data will be compared with previous drug use, trying to find out the relationship between dependence to some groups of these drugs and survival to sepsis. In addition, drug dependence and health services dependence of sepsis survivors will be studied in comparison with their pre-sepsis situation.

A descriptive analysis of the baseline characteristics of the sample will be performed using absolute values and percentages or mean and standard deviation, as appropriate. To establish the relationship between the dependent and independent variables, a bivariate analysis will be performed using the chi-square or t-Student test, as appropriate. A logistic regression model will be applied to determine the risk factors for mortality, analysing the scores for comorbidities, frailty (defined as emergency admissions, being a resident or institutionalised, being previously defined as a complex chronic patient or advanced chronic disease) and chronic consumption of certain families of drugs, for all those variables that had obtained statistical significance in the bivariate analysis. Statistical significance will be established with a p-value of less than 0.001.

The creation of the scale predictive of mortality will be based on the combination of the risk factors detected in the previous logistic regression analyses. The reliability and validity of the scale for subgroups of the sample will be analysed to check that the psychometric characteristics of the instrument were valid for the different types of population. To study sepsis mortality, Cox regression models or competing risk models will be performed, comparing baseline states and different pharmacological treatments.

The impact on health care consumption of patients who do not survive sepsis will be based on data from the Catalan Health System (CatSalut) Minimum Basic Data Set (CMBD) registers, and it will not be an economic study using cost-effectiveness or health-assessment methodologies.

Study Type

Observational

Enrollment (Actual)

59578

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Barcelona
      • Granollers, Barcelona, Spain, 08402
        • Hospital General de Granollers

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

All patients with a diagnosis of sepsis admitted to the hospitals of the public hospital network of Catalonia, Spain, will be included. The data will be obtained from the Catalan Health System (CatSalut) Minimum Basic Data Set (CMBD) registers (compulsory admissions register for all public and private acute care hospitals in Catalonia, Spain, over a 2-year period (2018 and 2019).

Description

Inclusion Criteria:

  • Patients with a diagnosis of sepsis admitted to the hospitals of the public hospital network of Catalonia, Spain. Sepsis will be defined using the methodology described by Angus et al., which is currently referenced for population-based studies, consisting of coding a diagnosis of infection with acute organ failure, or sepsis or septic shock.

Exclusion Criteria:

  • None

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Patients with a diagnosis of sepsis
All patients with a diagnosis of sepsis admitted to the hospitals of the public hospital network of Catalonia, Spain, were included.

A descriptive analysis of the baseline demographics, risk factors, health status, comorbidities, frailty, and previous dependence on health services of all patients admitted to hospitals in the region will be carried out.

Both the overall data of patients admitted to hospitals in any ward and those admitted to ICU will be analysed. The survival data of patients will be compared with their previous individual drug consumption, trying to find out the relationship between chronic consumption of certain families of drugs and inhospital survival to sepsis. In addition, drug dependence and dependence on health services of sepsis survivors will be studied in comparison with their situation prior to sepsis.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Death due to sepsis
Time Frame: From date of hospital admission until the date of hospital discharge, assessed up to 12 months
Inhospital death after an episode of sepsis requiring hospital or ICU admission
From date of hospital admission until the date of hospital discharge, assessed up to 12 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Director: Josep M Badia, MD, PhD, Hospital General de Granollers

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2018

Primary Completion (Actual)

December 31, 2019

Study Completion (Actual)

January 31, 2020

Study Registration Dates

First Submitted

January 22, 2024

First Submitted That Met QC Criteria

April 5, 2024

First Posted (Actual)

April 9, 2024

Study Record Updates

Last Update Posted (Actual)

April 9, 2024

Last Update Submitted That Met QC Criteria

April 5, 2024

Last Verified

April 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • HGG2024_01

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Restrictions apply to the availability of these data, which belong to a national database and is not publicly available.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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