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Health card data may guide UTI treatment

NCT ID NCT02292160

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study looked at whether information from national health insurance cards—like past antibiotic use and hospital stays—can predict if a person's urinary tract infection will be resistant to common antibiotics. Researchers analyzed data from over 1,100 patients with community-acquired UTIs. The goal is to help doctors choose the right antibiotic from the start, without waiting for lab results.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this could help doctors choose the right antibiotic faster for urinary tract infections, reducing ineffective treatments.
What could go wrong
This is a pilot study, so results are preliminary. The prediction method may not be accurate enough for real-world use.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

1,128 people

The number who actually took part.

Start date

Sep 2015

Finished

Feb 2017

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Patient with an community-acquired urinary tract infection

Ages

15 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * national health insurance card available * community acquired urinary tract infection Exclusion Criteria: * incapacity to accept an inform consent * hospitalized acquired urinary tract infection * national health insurance card non available

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • Lbmr de Normandie

    Elbeuf, France

  • Rouen University Hospital

    Rouen, 76031, France