5th Nordic RWE and AI conference – 28-29 January 2025, Helsinki
5th Nordic RWE and AI conference is organized by University of Helsinki and Åbo Akademi University. Register to the event here!
Multiple myeloma significantly increases the risk of infections. A recent real-world evidence (RWE) study revealed that multiple myeloma (MM) patients experience more infections compared to healthy controls, even prior to diagnosis. Infections, both before and after diagnosis, were associated with an increased mortality.
Patients with multiple myeloma are particularly prone to infections, which are a clinically significant cause of mortality in this patient group. Both the disease itself and its treatments weaken patients’ immune systems. The recent study highlights the infection burden in multiple myeloma patients and its connection to mortality. It emphasizes the importance of preventing infections in this population.
The RWE study, conducted by Medaffcon and Takeda, included all multiple myeloma patients diagnosed in Finland between 2000 and 2021. The cohort consisted of over 7,000 patients and over 21,000 controls. The data were collected from several national healthcare registers. The median age of the patients at the time of diagnosis was 71 years.
The study revealed that multiple myeloma patients experienced higher infection rates compared to controls even prior to diagnosis.
“We analyzed patient data over the three years prior to diagnosis. The difference in the number of infections between all patients and the control group was significant during the year before diagnosis. Among patients under 70 years old, significantly more infections were observed compared to the control group already three years before the myeloma diagnosis,” explains Essi Havula, Scientific Advisor at Medaffcon.
Anna Anttalainen, a data scientist at Medaffcon, utilized Cox proportional hazards modeling to show that even a single infection prior to diagnosis reduced survival times.
“An infection diagnosis before and after the myeloma diagnosis was associated with a higher risk of mortality,” says Havula.
The study also categorized different types of infections. The risk of sepsis and pneumonia caused by Streptococcus pneumoniae increased during the three years leading to diagnosis.
“Post diagnosis, there was a notable increase in unspecified bacterial infections,” Havula adds.
The highest infection rates were observed following the diagnosis of multiple myeloma, likely due to the initiation of intensive treatments. In patients who received stem cell transplantation, the number of infections during the first two years post diagnosis was significantly higher than those treated without cell transplantation.
The corresponding author of the study, hematologist Mervi Putkonen from Turku University Hospital (Tyks) says she was surprised by the research findings, even though it is known that multiple myeloma carries a significant risk of infection.
“The advancement of treatments and the increased use of immunological therapies have significantly improved treatment outcomes but have also increased patients’ susceptibility to infections”.
According to Putkonen, pneumococcal, influenza, and COVID vaccines are recommended for myeloma patients in Finland. After a stem cell transplantation, patients follow the vaccination program recommended by the Finnish Institute for Health and Welfare (THL). Additionally, patients undergoing myeloma treatment routinely use herpes and shingles prophylaxis, while a small proportion receive immunoglobulin replacement therapy.
Recent real-world evidence (RWE) findings further highlight the importance of effective infection management.
“While treatment practices remain unchanged, it is crucial to emphasize the importance of including infection symptom monitoring in patient education. Patients should be reminded to promptly contact healthcare services if they develop a fever. In primary care, it is essential to manage infections in myeloma patients effectively and consult specialized care without delay,” Putkonen notes.
Comorbidities and survival of multiple myeloma patients diagnosed in Finland between 2000 and 2021. Kysenius K, Anttalainen A, Toppila I, Miettinen T, Lassenius MI, Lievonen J, Partanen A, Silvennoinen R, Putkonen M. Annals of Hematology (2024).
5th Nordic RWE and AI conference is organized by University of Helsinki and Åbo Akademi University. Register to the event here!
Despite its high-risk nature and availability of kidney treatments, chronic kidney disease (CKD) often goes undiagnosed. This especially concerns patients without type 2 diabetes (T2D), who represent the majority of CKD patients. This finding comes from a recent registry study published in Nephrology Dialysis Transplantation (NDT).
Artificial intelligence (AI) is transforming research and working life across various industries. But what is its significance in health data analysis and real-world evidence (RWE) research? Medaffcon’s experts, Juhani Aakko and Lisse-Lotte Hermansson, share their perspectives on AI in their work.
Sr. Scientific Advisor
RWE Lead
PhD
+358 50 345 2393
mariann.lassenius@medaffcon.fi
Mariann joined Medaffcon’s team in 2016 after finishing her PhD. The transition to real world evidence (RWE) research was a natural continuum to her previous research career. Through RWE studies, she has had the privilege to gain a broad insight into working with different stakeholders within the healthcare field. The vast proportion of her days goes towards interacting with clients, planning and performing RWE studies, and supporting Medaffcon’s RWE team. Subjects that keep her work interesting are the vast variability of customers and projects, problem-solving, and interacting with people.
“The number of RWE studies has increased since stakeholders within the healthcare industry have an increasing demand for knowledge-based decision making tools that need to be fulfilled. The future, therefore, has an ever-increasing emphasis on RWE”.
Biostatistician
Data Analysis Lead
MSc (Tech.)
+358 44 314 1597
iiro.toppila@medaffcon.fi
Iiro joined Medaffcon in March 2017 as a Biostatistician. For the preceding four years, he has worked as a research assistant in an academic study group, analyzing clinical and genetic patient data. Iiro holds a Master of Science degree in Technology in Bioinformation Technology.
Iiro’s strengths include his strong expertise in statistics and data-analysis, hands-on experience in working with sensitive patient data, and strong interdisciplinary communication skills with experts from various fields. In the field, he is particularly interested in the large data amounts made available with the revolution of technology and how the information received such data can potentially be utilized to draw concrete conclusions, both in order to understand the nature of diseases and to advance the goals of the pharmaceutical industry and patient treatment.
“Machine learning and AI-based solutions will have a major impact on the healthcare sector now and in the future. However, effectively utilizing the already collected and available health-data will have a higher importance in order to improve health-care”.