Young man lost the use of his legs after doctors mistook his diagnosis for kidney stones.

A 26-year-old woman from Birmingham, United Kingdom, identified as Caitland Wright, was diagnosed with kidney stones after she attended a doctor's office for severe pain in her lower back , but it turned out to be a massive blood clot.

The woman first experienced symptoms in 2023 during a family trip to Cyprus, but she thought it was a common complaint related to physical exhaustion from her job or exercise routine.

However, days later, the conditions began to intensify and worsen , because her right leg became swollen and her body could not empty her bladder, even though she felt the need to go to the bathroom.

Given her complex health condition, her mother decided to transfer her to the Queen Elizabeth Hospital, where doctors gave her fluids and morphine , assuring her that it was not a situation to be alarmed about.

Despite the specialists' advice, Caitland had to be hospitalized for several weeks because her symptoms became increasingly unbearable and the doctors needed to perform more tests.

On one occasion, doctors suggested a CT scan , which ultimately revealed that the young woman had a blood clot extending from her knees to her lower back.

As soon as the experts realized the woman's delicate condition, they prescribed blood thinners, but these measures were not enough, as the diagnosis had come too late.

After the confusion, the British woman was forced to abandon her master's degree and accept that from then on she would have to use a wheelchair to get around as she had no control over her legs.

Although doctors considered inserting a tube to prevent blood clots, this option was quickly ruled out, as the damage to his veins was so severe that no treatment could reverse the consequences.

Caitland currently lives with constant body pain that prevents her from moving normally, which has led to physical dependence . She also created a website to report the problem in her country's public health system, which rules out diseases based on a patient's age.

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