App to Help Doctors Help Patients with Leukemia

Researchers at the University of Copenhagen and clinicians at Rigshospitalet have developed an app that can help doctors make better decisions for patients with leukaemia.

The researchers analysed a data set containing 112 million blood tests from 1.3 million Danes, 1,123 of whom suffer from chronic lymphocytic leukaemia (CLL). Within five years, 25 per cent of patients suffering from CLL will develop a serious infection or need early treatment for CLL. 10 percent of these risk dying within a month.

In order to help these patients, doctors would like to be able to identify those at risk of developing infections immediately after they have been diagnosed with CLL.

A team of researchers from the University of Copenhagen and Rigshospitalet has made this their mission, and this has led to the development of an app.

Chief physician and Clinical Associate Professor Carsten Niemann, who is part of the team responsible for the new study, explains:

"It has improved our chances of identifying those patients, once diagnosed, who will require treatment and close follow-up. We have developed an app that allows doctors to enter previous and current blood test results and thus receive data on the individual patient’s risk of a severe course of illness," says Carsen Niemann from the Department of Clinical Medicine at the University of Copenhagen and the Department of Haematology at Rigshospitalet.

If a patient is considered to be in the risk group, they may benefit from starting treatment earlier. A new study seeks to determine whether this is indeed the case.

And even though the researchers still do not know whether patients would benefit from starting treatment earlier, the new knowledge will be able to ease pressure on the healthcare system and patients, Carsten Niemann explains: "Instead of practising the same frequency of monitoring and hospital follow-up for all patients, we are able to target efforts to those at high risk of a severe course of illness."

The app is currently in its pilot phase and still has not been approved as an official aid. Nevertheless, it can be used, even though it does not save the data entered.

"We are working on a new project which aims to make another version of the app interact with the medical records system. This requires a series of authorisations, which means that for the time being only the pilot version of the app is available," says Carsten Niemann.

Blood tests from 1.3 million Danes

As part of the study, the researchers analysed a data set containing 112 million blood tests from 1.3 million Danes, 1,123 of whom suffer from CLL.

A main aim hereof was to study the change over time in lymphocyte count, which is the concentration of a specific white blood cell in the blood.

"We knew that in the years leading up to diagnosis, CLL patients exhibited a high number of these white blood cells. But we did not know how or precisely when the number started to increase. It is these numbers, among others, that we have analysed in order to predict who is at risk of developing CLL and who is at risk of suffering from an infection," explains first author of the study medical doctor Michael Asger Andersen from the Department of Clinical Pharmacology at Rigshospitalet.

Patients were also monitored via the Danish CLL register, which gave the researchers access to data on prognosis, treatment and course of illness as well as patients' unique mutations in the CLL cells.

"Another important parameter has been the connection between the development in white blood cell numbers and mutations in the genes responsible for the cells' transformation into cancer cells. This is referred to as patients’ IGHV mutation status, and driver mutations," says Michael Asger Andersen.

"We were able to demonstrate that those patients experiencing rapid growth in white blood cells - the lymphocyte count - also appear to harbour more mutations which help make the cancer cells more aggressive. And vice versa: Those experiencing a more modest increase in white blood cell numbers, harbour fewer mutations, but mutated IGHV status. That is, the growth pattern is closely connected to patients' IGHV mutation status and pattern of driver mutations."

The Danish health records are a unique advantage

The researchers subsequently inserted these findings into the CLL-PLY app (Pre-Diagnostic Lymphocytosis), which is available here.

"A lot of studies have been unable to merge genetic data with routine blood test results; here the Danish health records provide us with a unique advantage," says co-author of the study Clinical Professor and chief physician Christen Lykkegaard Andersen from the Department of Public Health at the University of Copenhagen and the Department of Haematology at Rigshospitalet.

In particular, the researchers have benefited from the Copenhagen Primary Care Laboratory (CopLab) database, which constitutes general practitioners’ laboratory data from around 2000 till 2016.

Parallel with this study, the researchers have been involved in a major European collaboration compiling information about mutations and clinical data from a lot of different patients.

"We are constantly seeking to expand the dataset in order to strengthen the association between routine blood test results and genetic data and thus improve results in the future," Christen Lykkegaard Andersen concludes.

Andersen MA, Grand MK, Brieghel C, Siersma V, Andersen CL, Niemann CU.
Pre-diagnostic trajectories of lymphocytosis predict time to treatment and death in patients with chronic lymphocytic leukemia.
Commun Med (Lond). 2022 May 12;2:50. doi: 10.1038/s43856-022-00117-4

Most Popular Now

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...

Wanted: Young Talents. DMEA Sparks Bring…

9 - 11 April 2024, Berlin, Germany. The digital health industry urgently needs skilled workers, which is why DMEA sparks focuses on careers, jobs and supporting young people. Against the backdrop of...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...