Characterization of smoldering multiple myeloma: A population-based cohort study.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e20028-e20028
Author(s):  
Raleigh Ayoolu Fatoki ◽  
Adnan Ahmed Khan ◽  
Diane M. Carpenter ◽  
David M. Baer

e20028 Background: There is increasing interest in characterizing Smoldering Multiple Myeloma (SMM) due to the availability of novel therapies shown to delay symptomatic progression to Multiple Myeloma (MM) with considerably less toxicity. The lack of population-based disease registries has made epidemiologic data on SMM difficult to acquire. Existing cohort studies of SMM patients have largely been conducted in specialized referral centers. This surveillance study characterizes the epidemiology of SMM in a real-world, clinical population using data from a large, integrated healthcare delivery system. Methods: We performed a retrospective study of all new SMM cases identified in Kaiser Permanente Northern California (KPNC) during 2010-2017, based on either (or (2) a new MM diagnosis in the KPNC Cancer Registry without initiation of plasma cell-directed therapy within 1 year of diagnosis. Those without KPNC membership for at least 1 year after diagnosis were excluded. Age at diagnosis, sex, race/ethnicity, and Charlson Comorbidity Index (CCI) at diagnosis were examined. The incidence of SMM was calculated using KPNC membership denominators, and a 2-sided Cochran-Armitage test was used to test for trend. Among the SMM cohort, characteristics were examined using the chi-squared test, including data before/after the Nov 2014 International Myeloma Working Group (IMWG) diagnostic criteria update. Results: A total of 251 new SMM cases were identified from 2010-2017. The average annual incidence of SMM was 1.2 per 100,000, increasing from 1.0 per 100,000 in 2010 to 1.5 per 100,000 in 2017 (p<0.05 for trend). The demographic characteristics of the SMM cohort were notable for mean age 70.0 ± 11.7 years, 63.8% male, and 61.0% non-Hispanic White, 17.1% Black, 10.0% Hispanic, and 11.6% Asian. Overall, 73.7% had at least 1 comorbidity, based on CCI. When comparing 116 SMM cases diagnosed after the IMWG update to 135 cases diagnosed before the IMWG update, those diagnosed after the revised IMWG guidelines were significantly more likely to have at least 1 existing comorbidity (80.2% vs 68.2%, p=0.03). Conclusion We identified a contemporary cohort of patients with SMM from a large, integrated healthcare system. During our 8-year study period, the annual incidence of SMM increased slightly, including after 2014 when the IMWG criteria for SMM were refined. We observed that patients diagnosed after the 2014 IMWG update were more likely to have at least 1 comorbidity. Whether these trends relate to background population characteristics or are specific to recognized SMM cases bears further study. Follow-up analyses will examine the rate of progression from SMM to MM and the presence or absence of severe, irreversible, end-organ damage at the time of progression.

Thyroid ◽  
2015 ◽  
Vol 25 (6) ◽  
pp. 698-705 ◽  
Author(s):  
Joan C. Lo ◽  
Scott A. Rivkees ◽  
Malini Chandra ◽  
Joel R. Gonzalez ◽  
James J. Korelitz ◽  
...  

2020 ◽  
pp. 193229682095522
Author(s):  
Brad Isaacson ◽  
Stephanie Kaufusi ◽  
Jeff Sorensen ◽  
Elizabeth Joy ◽  
Christopher Jones ◽  
...  

Background: Approximately 30 million Americans currently suffer from diabetes, and nearly 55 million people will be impacted by 2030. Continuous glucose monitoring (CGM) systems help patients manage their care with real-time data. Although approximately 95% of those with diabetes suffer from type 2, few studies have measured CGM’s clinical impact for this segment within an integrated healthcare system. Methods: A parallel randomized, multisite prospective trial was conducted using a new CGM device (Dexcom G6) compared to a standard of care finger stick glucometer (FSG) (Contour Next One). All participants received usual care in primary care clinics for six consecutive months while using these devices. Data were collected via electronic medical records, device outputs, exit surveys, and insurance company (SelectHealth) claims in accordance with institutional review board approval. Results: Ninety-nine patients were randomized for analysis ( n = 50 CGM and n = 49 FSG). CGM patients significantly decreased hemoglobin A1c ( p = .001), total visits ( p = .009), emergency department encounters ( p = .018), and labs ordered ( p = .001). Among SelectHealth non-Medicare Advantage patients, per member per month savings were $417 for CGM compared to FSG, but $9 more for Medicare Advantage. Seventy percent of CGM users reported that the technology helped them better understand daily activity and diet compared to only 16% for FSG. Discussion: Participants using CGM devices had meaningful improvements in clinical outcomes, costs, and self-reported measures compared to the FSG group. Although a larger study is necessary to confirm these results, CGM devices appear to improve patient outcomes while making treatment more affordable.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Mohammad Shahzad ◽  
Ross Upshur ◽  
Peter Donnelly ◽  
Aamir Bharmal ◽  
Xiaolin Wei ◽  
...  

2018 ◽  
Vol 21 (5-6) ◽  
pp. 207-216
Author(s):  
Caroline G. Tai ◽  
Julie Harris-Wai ◽  
Catherine Schaefer ◽  
Petra Liljestrand ◽  
Carol P. Somkin

2019 ◽  
Vol 58 (3) ◽  
pp. 411-413
Author(s):  
Gloria C Chi ◽  
Kaitlin Benedict ◽  
Karlyn D Beer ◽  
Brendan R Jackson ◽  
Orion McCotter ◽  
...  

Abstract We investigated coccidioidomycosis testing and treatment patterns among persons in an integrated healthcare delivery system to identify gaps in diagnosis and treatment. Coccidioidomycosis diagnosis delays were common. Among persons who tested positive, 70% were prescribed antibiotics before positive coccidioidomycosis tests. Antibiotic treatment decreased and antifungal treatment increased after positive testing.


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