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

Two Leading CIOs Join the Highland Marke…

Two of the NHS' most dynamic chief information officers have joined Highland Marketing’s advisory board of NHS IT professionals and health tech industry experts. Ian Hogan, a CIO at the Northern...

MIT Engineers Develop Stickers that can …

Ultrasound imaging is a safe and noninvasive window into the body’s workings, providing clinicians with live images of a patient’s internal organs. To capture these images, trained technicians manipulate ultrasound...

AI Analyses Neuron Changes to Detect whe…

A research group from Nagoya University in Japan has developed an artificial intelligence (AI) for analyzing cell images that uses machine learning to predict the therapeutic effect of drugs. Called...

Teaching AI to Ask Clinical Questions

Physicians often query a patient's electronic health record for information that helps them make treatment decisions, but the cumbersome nature of these records hampers the process. Research has shown that...

Patient Deterioration Predictor could Su…

An artificial intelligence-driven device that works to detect and predict hemodynamic instability may provide a more accurate picture of patient deterioration than traditional vital sign measurements, a Michigan Medicine study...

Interoperability with Open Standards: Le…

Opinion Article by Vivek Krishnan, CTO, Alcidion Group. The future of healthcare systems lies in open standards that free data from traditional, stand-alone silos and make it available to the many...

NHS Trust Dramatically Reduces Acute Kid…

A condition linked to thousands of UK deaths has been significantly reduced by healthcare professionals at County Durham and Darlington NHS Foundation Trust, with the help of a new care...

Advancing Dynamic Brain Imaging with AI

MRI, electroencephalography (EEG) and magnetoencephalography have long served as the tools to study brain activity, but new research from Carnegie Mellon University introduces a novel, AI-based dynamic brain imaging technology...

Open Call HORIZON-EIC-2022-PATHFINDERCHA…

Current technologies for digital data storage are hitting sustainability limits in terms of energy consumption and their use of rare and toxic materials. Moreover, data integrity when using those technologies...

Using Smartphones could Help Improve Mem…

Using digital devices, such as smartphones, could help improve memory skills rather than causing people to become lazy or forgetful, finds a new study led by UCL researchers. The research, published...

Proteins and Natural Language: AI Enable…

Artificial intelligence (AI) has created new possibilities for designing tailor-made proteins to solve everything from medical to ecological problems. A research team at the University of Bayreuth led by Prof...