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Serum free light chain (FLC) concentration is greatly affected by kidney function. Using a large prospective population-based cohort, we aimed to establish a reference interval for FLCs in persons with chronic kidney disease (CKD). A total of 75422 participants of the iStopMM study were screened with serum FLC, serum protein electrophoresis and immunofixation. Estimated glomerular filtration rate (eGFR) was calculated from serum creatinine. Central 99% reference intervals were determined, and 95% confidence intervals calculated. Included were 6461 (12%) participants with measured FLCs, eGFR < 60 mL/min/1.73 m2, not receiving renal replacement therapy, and without evidence of monoclonality. Using current reference intervals, 60% and 21% had kappa and lambda FLC values outside the normal range. The FLC ratio was outside standard reference interval (0.26–1.65) in 9% of participants and outside current kidney reference interval (0.37–3.10) in 0.7%. New reference intervals for FLC and FLC ratio were established. New reference intervals for the FLC ratio were 0.46–2.62, 0.48–3.38, and 0.54–3.30 for eGFR 45–59, 30–44, and < 30 mL/min/1.73 m2 groups, respectively. The crude prevalence of LC-MGUS in CKD patients was 0.5%. We conclude that current reference intervals for FLC and FLC ratio are inaccurate in CKD patients and propose new eGFR based reference intervals to be implemented.

High proportion of patients with multiple myeloma suffer from comorbidities which may alter clinical management. Therefore, our aims were to evaluate the prevalence of comorbidities and their impact on survival. We included patients diagnosed with multiple myeloma 1990‐2013 in Sweden and all diagnoses from each patient from 1985. A total of 13 656 patients with multiple myeloma were included in the study, thereof 7404 (54%) had comorbidity at diagnosis. The risk of death was increased for those with one comorbidity at diagnosis compared to those without any comorbidity (hazard ratio = 1.19; 95% confidence interval:1.14‐1.25); this risk was higher for those with two (1.38; 1.30‐1.47) and three or more comorbidities (1.72; 1.62‐1.83). Furthermore, the risk of death was increased in patients with prior history of cancer, arrhythmia, heart failure, diabetes mellitus, cerebrovascular disease, chronic lung disease, psychological disease, peptic ulcer, neurological disease, peripheral vascular disease, chronic kidney disease, dementia, and inflammatory bowel disease. This large study shows that over 50% of multiple myeloma patients have a comorbidity at diagnosis and survival decreased with increasing numbers of comorbidities. This emphasizes the importance of comorbidities when evaluating patients and deciding on treatment strategies for individuals with multiple myeloma.

Multiple myeloma causes lytic bone lesions and fractures. The impact of fractures on multiple myeloma survival is unclear. The aim of this study was to evaluate the effect of fractures on survival in multiple myeloma using data from multiple myeloma patients diagnosed in Sweden in the years 1990-2013, identified from the Swedish Cancer Registry. Information on date of birth, multiple myeloma diagnosis, fractures, and death was collected from central registries.A Cox regression model was used to compare survival in patients with and without a fracture at multiple myeloma diagnosis and another Cox model was used with fracture as a timedependent variable to assess the effect of fracture on survival after multiple myeloma diagnosis. Results were adjusted for age, sex, year of diagnosis, and previous fractures. A total of 14,013 patients were diagnosed with multiple myeloma during the study, thereof 1,213 (8.7%) were diagnosed with a fracture at multiple myeloma diagnosis, and 3,235 (23.1%) after diagnosis. Patients with a fracture at diagnosis were at a significantly increased risk of death (hazard ratio=1.28; 95% confidence interval: 1.19-1.37). The risk of death was significantly increased in patients with a fracture after multiple myeloma diagnosis (2.00; 1.90-2.10). The impact of fractures on survival did not change significantly between the two calendar periods 1990-1999 and 2000-2013 (0.98; 0.89-1.08). Our large study shows that multiple myeloma patients with fractures are at a significantly increased risk of dying compared to those without fractures which stresses the importance of preventing bone disease in multiple myeloma.

Background: Cancer screening is performed worldwide for several malignancies. Monoclonal gammopathy of undetermined significance (MGUS) precedes multiple myeloma (MM) and related lymphoproliferative disorders (LP). However, less than 5% of all MM patients are diagnosed during their precursor state and individuals who develop MM while being monitored for MGUS have better overall survival and fewer complications, compared to MM patients diagnosed without knowledge of MGUS. Thus, population-based screening for MGUS could identify candidates for early treatment of MM/LPs. To evaluate whether systematic screening is beneficial, we performed the Iceland Screens, Treats, or Prevents Multiple Myeloma (iStopMM) study, the first population-based screening study for MGUS that includes a randomized clinical trial (RCT) of follow-up and treatment strategies. Methods: All living residents of Iceland on September 9th, 2016 who were born before 1976 (N=148,708) were invited to participate. Of those, 80,759 (54.3%) provided informed consent for screening. Serum samples were collected from participants alongside clinical blood sampling in the Icelandic health service between September 2016 and the end of 2020. All samples were shipped to the Binding Site in Birmingham, UK, for screening. Samples were tested for M-proteins by capillary zone electrophoresis and immunofixation electrophoresis performed to confirm and characterize suspected M-proteins. Free light chains (FLCs) were measured using the FreeLite® assay. Individuals with a previous diagnosis of MM/LPs/MGUS (N=237) were excluded. Per protocol and informed consent, participants with MGUS were randomized to one of the three study arms: Arm 1 where participants are not contacted; Arm 2 where individuals are followed based on current guidelines; and Arm 3 where individuals are followed with a more intensive diagnostic and monitoring strategy. Participants who progress are offered early treatment. All participants repeatedly answered questionnaires on quality of life and mental health. Results: A total of 75,422 participants (93.4%) provided a serum sample for screening. Of those, 3,725 (4.9%) had MGUS. The prevalence of MGUS was dependent on age with 2.3%, 6.2%, and 12.9% diagnosed in age groups 40-59, 60-79, and 80-103 years, respectively. The prevalence of MGUS was higher in males, 5.9% vs 4.1% (p&lt;0.0001). Most individuals with MGUS had either low-risk (38%) or low-intermediate (36%) risk MGUS, followed by high-intermediate (26%) risk MGUS. High-risk MGUS was only present in 0.2% of MGUS cases (n=9). The RCT includes 3,487 newly diagnosed MGUS individuals with 1164, 1159, and 1164 individuals in arms 1, 2 and 3, respectively (Table). The median age at diagnosis was 69 years in arms 1 and 2, and 70 years in arm 3. Females constituted 45.9% and the isotypes were IgG (50%), IgA (10%), IgM (18%) and biclonal (8%). The median M-protein concentration was 0.34 g/dL. A total of 428 light-chain MGUS cases were randomized. The demographic distribution was well balanced between the three arms. After a median follow-up of 3 years, 194 patients in the RCT have been diagnosed with any LP: 9 in arm 1, 92 in arm 2, and 133 in arm 3 (p&lt;0.001). The participants in arm 1 were diagnosed with smoldering Waldenström's macroglobulinemia (SWM)(N=2), WM (N=2), chronic lymphocytic leukemia (CLL) (N=1), and MM (N=4). Participants in arm 2 were diagnosed with amyloidosis (N=1), SWM (N=18), WM (N=2), CLL (N=2), non-Hodgkin lymphoma (NHL) (N=1), smoldering MM (SMM) (N=56), and MM (N=12). Participants in arm 3 were diagnosed with amyloidosis (N=2), SWM (N=22), CLL (N=5), NHL (N=6), SMM (N=82), and MM (N=16). The difference between study arms was statistically significant for all LPs combined, and for SWM, SMM, and MM (Table). Conclusion: In this large prospective population-based screening study including &gt;75,000 screened persons, we have identified 3,725 individuals with monoclonal gammopathy. In the RCT, after 3 years of follow-up, we show that active screening identifies significantly higher number of individuals with full-blown malignancy and smoldering disease, illustrating the fact that early detection and intervention is achievable. Although our findings are encouraging, until final results of the iStopMM study become available, including data on survival and quality of life, we advise against systematic MGUS screening in healthy individuals. Figure 1 Figure 1. Disclosures Kristinsson: Amgen: Research Funding; Celgene: Research Funding. Kampanis: The Binding Site: Current Employment. Hultcrantz: Curio Science LLC: Consultancy; Daiichi Sankyo: Research Funding; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Research Funding; Intellisphere LLC: Consultancy. Durie: Amgen: Other: fees from non-CME/CE services ; Amgen, Celgene/Bristol-Myers Squibb, Janssen, and Takeda: Consultancy. Harding: The Binding Site: Current Employment, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties. Landgren: Janssen: Research Funding; Celgene: Research Funding; Janssen: Honoraria; Janssen: Other: IDMC; Amgen: Honoraria; Takeda: Other: IDMC; Amgen: Research Funding; GSK: Honoraria.

The prevalence of multiple myeloma (MM) is increasing in the Nordic countries and the rest of the Western World. Patients aged ≥75 years at diagnosis constitute an increasing proportion of all MM patients, but are underrepresented in randomized clinical trials. There is an urgent need for studies of the characteristics, treatment and outcome in this cohort. We present data from two nationwide population-based registries of all MM patients diagnosed in Denmark January 1st 2005 until February 18th 2020, and in Sweden from January 1st 2008 until December 31st 2019, including treatment data for patients diagnosed until 2018 (Denmark) and 2019 (Sweden). In total 4647 patients were 75 years or older at diagnosis, compared to 7378 younger patients. Patients ≥75 years, comprising approximately 40% of all MM patients, are a distinct cohort with more advanced disease at diagnosis, reflected by higher ISS (International Staging System), and a higher proportion with renal failure and anemia. We find a more gradual introduction of modern medications in the older cohort than the younger, despite simultaneous changes in guidelines. Compared to the randomized controlled trials that guide the treatment of non-transplant eligible patients, we find a higher proportion of patients ≥75 years and presenting with ISS III in real world data. Nevertheless, response rates and survival are increasing, reflecting that modern treatment regimens are effective and well tolerated, also in elderly MM patients in real-world populations.

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 study (iStopMM) were screened for MGUS by serum protein electrophoresis, immunofixation and free light chain assay. 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; 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.

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