Disease associations with monoclonal gammopathy of undetermined significance can only be evaluated using screened cohorts: results from the population-based iStopMM study
Aðalbjörg Ýr Sigurbergsdóttir,
Sæmundur Rögnvaldsson,
Sigrún Thorsteinsdóttir,
Ingigerður Sverrisdóttir,
Guðrún Ásta Sigurðardóttir,
Brynjar Viðarsson,
Páll Torfi Önundarson,
Bjarni A. Agnarsson,
Margrét Sigurðardóttir,
Ingunn Þorsteinsdóttir,
Ísleifur Ólafsson,
Ásdís Rósa Þórðardóttir,
Gauti Kjartan Gíslason,
Andri Ólafsson,
Malin Hultcrantz,
Brian G. M. Durie,
Stephen Harding,
Ola Landgren,
Thorvarður Jón Löve,
Sigurður Yngvi Kristinsson
Affiliations
Aðalbjörg Ýr Sigurbergsdóttir
University of Iceland, Reykjavík
Sæmundur Rögnvaldsson
University of Iceland, Reykjavík, Iceland; Landspítali – The National University Hospital of Iceland, Reykjavík
Sigrún Thorsteinsdóttir
University of Iceland, Reykjavík, Iceland; Rigshospitalet, Copenhagen, Denmark
Ingigerður Sverrisdóttir
University of Iceland, Reykjavík, Iceland; Sahlgrenska University Hospital, Gothenburg
Guðrún Ásta Sigurðardóttir
University of Iceland, Reykjavík
Brynjar Viðarsson
Landspítali – The National University Hospital of Iceland, Reykjavík
Páll Torfi Önundarson
University of Iceland, Reykjavík, Iceland; Landspítali – The National University Hospital of Iceland, Reykjavík
Bjarni A. Agnarsson
Landspítali – The National University Hospital of Iceland, Reykjavík
Margrét Sigurðardóttir
Landspítali – The National University Hospital of Iceland, Reykjavík
Ingunn Þorsteinsdóttir
Landspítali – The National University Hospital of Iceland, Reykjavík
Ísleifur Ólafsson
Landspítali – The National University Hospital of Iceland, Reykjavík
Ásdís Rósa Þórðardóttir
University of Iceland, Reykjavík
Gauti Kjartan Gíslason
University of Iceland, Reykjavík
Andri Ólafsson
University of Iceland, Reykjavík
Malin Hultcrantz
Memorial Sloan Kettering Cancer Center, New York, NY
Brian G. M. Durie
Cedars-Sinai Samuel Oschin Cancer Center, Los Angeles, CA
Stephen Harding
The Binding Site, Birmingham, United Kingdom
Ola Landgren
Sylvester Comprehensive Cancer Center, Miami, FL
Thorvarður Jón Löve
University of Iceland, Reykjavík, Iceland; Landspítali – The National University Hospital of Iceland, Reykjavík
Sigurður Yngvi Kristinsson
University of Iceland, Reykjavík, Iceland; Landspítali – The National University Hospital of Iceland, Reykjavík
Monoclonal gammopathy of undetermined significance (MGUS) is an asymptomatic precursor condition that precedes multiple myeloma and related disorders but has also been associated with other medical conditions. Since systematic screening is not recommended, MGUS is typically diagnosed due to underlying diseases and most cases are not diagnosed. Most previous studies on MGUS disease associations have been based on clinical cohorts, possibly resulting in selection bias. Here we estimate this selection bias by comparing clinically diagnosed and screened individuals with MGUS with regards to demographics, laboratory features, and comorbidities. A total of 75,422 participants in the Iceland Screens, Treats, or Prevents Multiple Myeloma (iStopMM) study were screened for MGUS by serum protein electrophoresis, immunofixation and free light chain assay (clinicaltrials gov. Identifier: NCT03327597). We identified 3,352 individuals with MGUS, whereof 240 had previously been clinically diagnosed (clinical MGUS), and crosslinked our data with large, nationwide registries for information on comorbidities. Those with clinical MGUS were more likely to have at least one comorbidity (odds ratio=2.24; 95% confidence interval: 1.30-4.19), and on average had more comorbidities than the screened MGUS group (3.23 vs. 2.36, mean difference 0.68; 95% confidence interval: 0.46-0.90). They were also more likely to have rheumatological disease, neurological disease, chronic kidney disease, liver disease, heart failure, or endocrine disorders. These findings indicate that individuals with clinical MGUS have more comorbidities than the general MGUS population and that previous studies have been affected by significant selection bias. Our findings highlight the importance of screening data when studying biological and epidemiological implications of MGUS.