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NCT Number: NCT06634940

International Surveillance of Antimicrobial Resistance in Cirrhosis-Related Infections

What is this study about?

This study tracks antibiotic resistance in patients with cirrhosis who develop bacterial infections. Cirrhosis is a condition where the liver is severely scarred, and people with cirrhosis are at high risk for serious bacterial infections.

Why is this study important?

Bacterial infections are common in patients with cirrhosis, affecting 25-46% of those who are hospitalized. These infections can be life-threatening, with 1 in 4 patients dying from complications. Many of these infections are becoming harder to treat because the bacteria are resistant to antibiotics. Infections caused by resistant bacteria are increasing, which makes finding the right antibiotic quickly even more difficult.

In other regions of the world, guidelines exist to help doctors choose the right antibiotics for cirrhosis patients. However, in Latin America, we don't have specific guidelines for our region, and doctors currently rely on recommendations from the U.S. or Europe. These guidelines may not reflect the local patterns of bacterial infections and resistance we see here.

What is the goal of this study?

The main goal of this study is to create a long-term system to track how bacteria respond to antibiotics in patients with cirrhosis in Latin America. By collecting data from hospitals across different countries, we aim to:

* Identify how many infections are caused by multidrug-resistant bacteria. * Understand how antibiotics (such as ceftriaxone, vancomycin, and carbapenems) act against these infections. * Generate reports informing bacterial resistance patterns to help doctors make better patient treatment decisions.

What do we hope to achieve?

We hope the data we collect will help develop guidelines for patients with cirrhosis in Latin America. These guidelines will ensure that doctors use the most effective antibiotics based on real-time data from our region. This should improve patient outcomes and help prevent the spread of resistant bacteria.

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Key information

Age range

17 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Hospital Italiano de Buenos Aires

Buenos Aires, Buenos Aires F.D., C1199ABB., Argentina

Location status: Recruiting

Location contact

Gonzalo Gomez Perdiguero, Subinvestigator, MD

CONTACT

[email protected]

54 11 49590200 ext. 5370

Sebastian Marciano, MD, MsC

CONTACT

Sebastián Marciano, Principal Investigator, MD

CONTACT

[email protected]

54 11 49590200 ext. 5370

About this study

Bacterial infections are among the most common complications in patients with cirrhosis, affecting 25-46% of those hospitalized. In two-thirds of cases, these infections are diagnosed during hospitalization, while the remainder develop during the hospital stay. The high mortality rate associated with these infections is significant, with one in four patients succumbing to the complication.

Regarding origin, 30-35% of bacterial infections in patients with cirrhosis are classified as spontaneous, with the rest being non-spontaneous. Spontaneous bacterial peritonitis is the most frequently reported infection specific to patients with cirrhosis and portal hypertension. Other spontaneous infections include spontaneous bacteremia and spontaneous bacterial empyema.

A significant factor influencing patient outcomes in bacterial infections is the rapid initiation of appropriate empirical antibiotic therapy. It is generally recommended that empirical treatment covers 80% of expected bacteria in stable patients and 90% in critically ill patients. However, this goal is increasingly challenging due to shifting epidemiology, with a rise in Gram-positive organisms and a growing incidence of multidrug resistance. Recent studies have shown that 34% of infections in patients with cirrhosis are caused by multidrug-resistant microorganisms, which are linked to poorer outcomes, complicating patient management, and increasing healthcare costs.

Although guidelines for empirical antibiotic treatment exist in other regions, none have been developed for Latin America. As a result, clinicians often rely on recommendations from the United States or Europe, which may not accurately reflect the epidemiology in this region.

GENERAL OBJECTIVES

  • To establish and sustain a surveillance system to monitor the antibiotic susceptibility patterns of microorganisms responsible for infections in patients with cirrhosis.
  • To produce periodic reports on evolving resistance patterns of microorganisms involved in infections in patients with cirrhosis.

EXPECTED OUTCOMES

This project aligns with global strategies to address the rise in infections caused by multidrug-resistant microorganisms. By applying a research methodology based on international standards, the study aims to ensure the collection of high-quality data that can lead to actionable outcomes.

Our research team initiated this project in 2020 to create a continuous surveillance program for bacterial infections in cirrhosis patients within our region. The goal is to collect and share real-time data on antibiotic susceptibility patterns.

We expect to generate results that will enable the production of detailed reports on the susceptibility patterns of bacterial infections in patients with cirrhosis at different levels. This will provide the necessary information to develop region-specific guidelines for the appropriate use of empirical antibiotics in this population. Additionally, periodic updates will reflect ongoing epidemiological changes.

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Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Episodes of culture-confirmed bacterial infections
  • Patients diagnosed with cirrhosis
  • Infections diagnosed either at the time of hospital admission or during hospitalization

Exclusion criteria

  • History of solid organ or hematopoietic stem cell transplantation
  • Declined to participate in the study

Treatment and study plan

Primary outcomes

  1. Proportion of multidrug-resistant organisms

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving at least one multidrug-resistant organism as the numerator and the total number of bacterial infection episodes as the denominator.

  2. Proportion of extensively drug-resistant microorganisms

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving at least one extensively drug-resistant microorganism as the numerator and the total number of bacterial infection episodes as the denominator.

  3. Proportion of pan drug-resistant microorganisms

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving at least one pan drug-resistant microorganism as the numerator and the total number of bacterial infection episodes as the denominator.

Secondary outcomes

  1. Proportion of episodes on infection susceptible to quinolones

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to quinolones as the numerator and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to quinolones for the episode to be considered susceptible.

  2. Proportion of episodes of infection susceptible to nitrofurantoin

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to nitrofurantoin as the numerator and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to nitrofurantoin for the episode to be considered susceptible.

  3. Proportion of episodes of infection susceptible to Trimethoprim-Sulfamethoxazole

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to Trimethoprim-Sulfamethoxazole as the numerator, and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to Trimethoprim-Sulfamethoxazole for the episode to be considered susceptible.

  4. Proportion of episodes of infection susceptible to ceftriaxone

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to ceftriaxone as the numerator and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to ceftriaxone for the episode to be considered susceptible.

  5. Proportion of episodes of infection susceptible to ceftazidime

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to ceftazidime as the numerator and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to ceftazidime for the episode to be considered susceptible.

  6. Proportion of episodes of infection susceptible to cefepime

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to cefepime as the numerator, and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to cefepime for the episode to be considered susceptible

  7. Proportion of episodes of infection susceptible to aminoglycosides

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to aminoglycosides as the numerator, and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to aminoglycosides for the episode to be considered susceptible

  8. Proportion of episodes of infection susceptible to piperacillin-tazobactam

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to piperacillin-tazobactam as the numerator, and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to piperacillin-tazobactam for the episode to be considered susceptible

  9. Proportion of episodes of infection susceptible to ertapenem

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to ertapenem as the numerator, and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to ertapenem for the episode to be considered susceptible

  10. Proportion of episodes of infection susceptible to meropenem/imipenem

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to meropenem or imipenem as the numerator, and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to meropenem or imipenem for the episode to be considered susceptible

  11. Proportion of episodes of infection susceptible to colistin:

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to colistin as the numerator, and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to colistin for the episode to be considered susceptible

  12. Proportion of episodes of infection susceptible to ceftazidime-avibactam

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to ceftazidime-avibactam as the numerator, and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to ceftazidime-avibactam for the episode to be considered susceptible

  13. Proportion of episodes of infection susceptible to ceftolozane-tazobactam

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to ceftolozane-tazobactam as the numerator, and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to ceftolozane-tazobactam for the episode to be considered susceptible

  14. Proportion of episodes of infection susceptible to piperacillin-tazobactam plus vancomycin

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to piperacillin-tazobactam or vancomycin as the numerator and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to at least one of the antibiotics for the episode to be considered susceptible.

  15. Proportion of episodes of infection susceptible to carbapenem plus vancomycin

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to both carbapenem and vancomycin as the numerator, and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to both antibiotics for the episode to be considered susceptible

  16. Proportion of episodes of infection susceptible to carbapenem plus linezolid

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to carbapenems or linezolid as the numerator and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to at least one of the antibiotics for the episode to be considered susceptible.

  17. Proportion of episodes of infection susceptible to carbapenem + linezolid

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to either carbapenem or linezolid as the numerator, and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to at least one of the antibiotics for the episode to be considered susceptible.

  18. Proportion of episodes of infection susceptible to aminoglycoside + colistin

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to either aminoglycoside or colistin as the numerator, and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to at least one of the antibiotics for the episode to be considered susceptible.

  19. Proportion of episodes of infection susceptible to ceftazidime-avibactam + aztreonam

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to either ceftazidime-avibactam or aztreonam as the numerator and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to at least one of the antibiotics for the episode to be considered susceptible.

  20. Proportion of episodes of infection susceptible to ceftazidime-avibactam + vancomycin

    Time frame: 1 week

    Estimated by using the total number of bacterial infection episodes involving microorganisms with in vitro susceptibility to either ceftazidime-avibactam or vancomycin as the numerator, and the total number of bacterial infection episodes as the denominator. For episodes involving more than one organism, all organisms must be susceptible to at least one of the antibiotics for the episode to be considered susceptible

Study contacts

Contact information is provided by the study sponsor or research team.

Gonzalo Gomez Perdiguero, Registry coordinator

CONTACT

[email protected],

54 11 49590200 ext. 5370

Sebastián M Marciano, Principal Investigator.

CONTACT

[email protected]

54 11 49590200 ext. 5370

Sponsors and collaborators

Lead sponsor

Hospital Italiano de Buenos Aires

Other

Registry information

Important dates

Study start
2020
Primary completion
2030
Study completion
2031
First posted
Oct 10, 2024
Registry last updated
Oct 10, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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