scholarly journals Risk factors and causes for early mortality in patients with newly diagnosed multiple myeloma in a "real world" study: experiences of the Polish Myeloma Group

Author(s):  
Grzegorz Charliński ◽  
Agata Tyczyńska ◽  
Bartosz Małecki ◽  
Szymon Fornagiel ◽  
Agnieszka Barchnicka ◽  
...  
2018 ◽  
Vol 46 (6) ◽  
pp. 2230-2237
Author(s):  
Jun Xia ◽  
Lingling Wang ◽  
Xin Zhou ◽  
Jing Wang ◽  
Huan Wang ◽  
...  

Objectives This study was performed to analyze the risk factors for early mortality (EM) in elderly patients undergoing treatment for multiple myeloma (MM) in real-world clinical practice. Methods Retrospective data from 108 elderly patients who were newly diagnosed with MM from January 2007 to July 2015 were analyzed in a single hematology center. EM was defined as death of any cause within 12 months after diagnosis. A multivariate regression model was used to evaluate EM. Results EM occurred in 16 (14.8%) elderly patients with newly diagnosed MM. The most common cause of death was infection (10/16, 62.5%). In the multivariate analysis, only an age of ≥75 years, International Staging System (ISS) stage III disease, and high lactate dehydrogenase concentration were significantly and independently associated with EM. Conclusion Our results suggest that infection is the leading cause of EM in elderly patients with MM. An age of ≥75 years, ISS stage III disease, and a high lactate dehydrogenase concentration are significant predictors of EM. We should further target this higher-risk patient population to define personalized therapy with which to improve outcomes.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 5306-5306
Author(s):  
Chia-Jen Liu ◽  
Pei Hsu ◽  
Ting-Wei Lin ◽  
Jyh-Pyng Gau ◽  
Liang-Tsai Hsiao ◽  
...  

Abstract Background The overall survival of patients with multiple myeloma has been improved greatly over the last two decades with the advances of treatment. Several studies reported that this improvement in survival has been ascribed to the broader use of novel drugs and autologous tandem transplantation. However, there were still a certain portion of myeloma patients died early after diagnosis. We therefore aim to investigate the risk factors of early mortality (death within 60 days after diagnosis) in patients with multiple myeloma. Patients and Methods We included in this study 451 consecutive patients with multiple myeloma, newly diagnosed at an Asian tertiary medical center between January 1, 2002 and April 30, 2015. A total 57 subjects who developed early mortality were identified. Risk factors for early mortality in myeloma patients were collected and analyzed. Results Compared with non-early mortality myeloma patients, early mortality patients had higher probability of being male, primary plasma cell leukemia, low platelet count, low serum albumin, high corrected serum calcium, high serum creatinine, high LDH, high serum β2-microglobulin, poor performance status, and high ISS stage. With multivariate analysis, we found that male (adjusted OR 2.93, 95% CI 1.17-7.31), serum albumin < 3.5g/dl (adjusted OR 2.76, 95% CI 1.17-6.52), corrected serum calcium ≥ 12mg/dl (adjusted OR 3.56, 95% CI 1.47-8.63) and LDH ≥ 250U/L (adjusted OR 3.30, 95% CI 1.62-6.74) were significant risk factors of early mortality. Pneumonia represented as the leading cause of early mortality in myeloma patients (n = 18, 31.5%), followed by renal failure (n = 7, 12.2%). Conclusion Early mortality rate is high (12.6%) in patients with multiple myeloma. Patients of male gender, low serum albumin, high corrected serum calcium and LDH are at risk of early mortality. More than one third myeloma patients (21 out of 57) who developed early mortality are died of infection. Identifying the risk group and providing prompt intervention, such as prophylaxis antibiotics, may reduce the incidence rate of early mortality and improve the life expectancy of myeloma patients. Disclosures No relevant conflicts of interest to declare.


2021 ◽  
Vol 11 (11) ◽  
Author(s):  
Mirian Brink ◽  
Kaz Groen ◽  
Pieter Sonneveld ◽  
Monique C. Minnema ◽  
Annemiek Broijl ◽  
...  

AbstractIdentification of risk factors for early mortality (EM) in multiple myeloma (MM) patients may contribute to different therapeutic approaches in patients at risk for EM. This population-based study aimed to assess trends in EM and risk factors for EM among MM patients diagnosed in the Netherlands. All MM patients, newly diagnosed between 1989 and 2018, were identified in the Netherlands Cancer Registry. Patients were categorized into three calendar periods (1989–1998, 1999–2008, 2009–2018) and into five age groups (≤65, 66–70, 71–75, 76–80, >80 years). EM was defined as death by any cause ≤180 days post-diagnosis. We included 28,328 MM patients (median age 70 years; 55% males). EM decreased from 22% for patients diagnosed in 1989–1998 to 13% for patients diagnosed in 2009–2018 (P < 0.01) and this decrease was observed among all age groups. Exact causes of death could not be elucidated. Besides patient’s age, we found that features related to a more aggressive disease presentation, and patient characteristics reflecting patients’ physical condition were predictive of EM. In summary, EM decreased from 1999 onwards. Nevertheless, EM remains high, especially for patients aged >70 years. Therefore, novel strategies should be explored to improve the outcome of patients at risk for EM.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 5493-5493
Author(s):  
Yuan Yao ◽  
Dehui Zou ◽  
Aijun Liao ◽  
Xiaoxia Chu ◽  
Wei Wang ◽  
...  

Background: Multiple Myeloma (MM) is a disease of the elderly, whose prognoses are highly heterogeneous. Hence International Myeloma Working Group (IMWG) proposed geriatric assessment (GA) in 2015, including daily activity and comorbidity status, to better discriminate between fit and frail patients (Palumbo et al, 2015). However, IMWG recruited patients from clinical trials instead of real world practices. Therefore we studied GA in elderly MM patients consecutively in China, along with other perspectives which are known to be problematic in elderly population that were previously left unnoticed, such as nutrition status, risk of cognitive impairment, risk of depression, and quality of life. Aim: Our study centers on the feasibility to perform a more comprehensive geriatric assessment (cGA) in elderly MM patients, current cGA status in elderly MM patients in China, and the cGA difference between Chinese patients and patients in the IMWG study. Method: From August 2017 to April 2019, we continuously recruited 336 newly diagnosed elderly (age ≥ 65) MM patients from 21 centers in China. cGA was performed at diagnosis, after treatment cycle 1, after cycle 4, and 1 year after treatment. cGA includes physical conditions (ECOG), activities of daily living (ADL), instrumental ADL (IADL), mini-nutritional assessment (MNA-SF), geriatric depression scale (GDS), mini-mental state examination (MMSE), quality of life (SF-36) and Charlson comorbidity index (CCI). Staging was assessed at baseline (International Staging System (ISS) & Revised ISS) and hematological responses were evaluated along with each cGA timepoint. Results: We pool-analyzed data of 336 newly-diagnosed elderly MM patients. The median age was 70 (range 65-88) and 25.5% of patients were older than 75 years. 336 (100%) patients were able to complete cGA, and median assessment time was 40 minutes (range 20-70). Upon diagnosis, only 34% and 37.5% of patients had full ADL and IADL respectively. 38.5% of patients had moderate to high risk of depression (GDS ≥ 6). 13.2% of patients were malnourished (MNA-SF ≤ 7), while 46.3% of patients were at risk of malnutrition (8 ≤ MNA-SF ≤ 11). 41% of patients had at least one comorbidity (CCI ≥ 1). 45.7% of patients had moderate to intermediate risk of cognitive impairment (MMSE ≤ 26). Grouping by IMWG-GA index, our study identified 59.9% patients in frail group (vs 39% in IMWG study), 15.8% in intermediate (vs 31% in IMWG) and 24.3% in fit (vs 30% in IMWG). 69% of patients received proteasome inhibitor-containing regimens and 20.7% of patients received lenalidomide-containing regimens. Best hematological responses in fit and intermediate groups were better than responses in frail group (≥ PR rate: 88.5% in fit, 94.4% in intermediate vs 77.5% in frail). Median follow up time was 10 months. To date, 215 (64%) patients have finished the cGA after cycle 1; 164 (48.8%) patients have finished the cGA after cycle 4; 91 (27.1%) patients has finished all 4 planned cGA and improvements in cGA were observed in the majority of these patients. Conclusion: Our study showed significant CGA heterogeneity in elderly MM patients. Even in the IMWG-GA "fit" group, nutrition, depression and cognitive impairment remain problems. Frail patients took up a larger proportion in Chinese elderly MM patients compared to IMWG study. Our study strongly justifies the necessity for cGA in elderly patients with MM, more so in the real world MM patients than in the clinical trials. Disclosures No relevant conflicts of interest to declare.


2019 ◽  
Vol 143 (5) ◽  
pp. 481-485
Author(s):  
Eleonora Ghisoni ◽  
Laura Marandino ◽  
Pasquale Lombardi ◽  
Alessandro Bonzano ◽  
Paolo Becco ◽  
...  

Cardiovascular adverse events (CVAEs) are of considerable importance in patients with multiple myeloma (MM), given the significant prevalence of coexisting cardiovascular risk factors and the potential treatment-induced toxicity. Brugada syndrome is a rare cardiological disease responsible for arrhythmia and potentially fatal cardiac arrest. Brugada phenocopies (BrP) are clinical entities which show an identical ECG patterns, but prompt resolution after treatment of the trigger event. A 65-year-old female newly diagnosed MM patient treated with a carfilzomib-based chemotherapy developed a type 1 Brugada ECG pattern during a hospitalization course for sepsis. As fever and the septic event resolved, further ECGs showed no abnormalities and carfilzomib-based treatment could be resumed with no further CVAEs. Though fever-induced BrP is a universally known phenomenon, to our knowledge this is the first case of BrP in a patient with MM during active treatment with carfilzomib.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 2193-2193
Author(s):  
Elizabeth B Lamont ◽  
Andrew J. Yee ◽  
Stuart L. Goldberg ◽  
Andrew D Norden

Background: Over the past 20 years, observational data from usual care clinical oncology settings has been leveraged to inform estimates of cancer treatment-associated benefits and risks among patients not treated on clinical trials. Increasing genomic testing to inform treatment decisions in usual care settings now meaningfully augments traditional observational data, positioning it to provide insights beyond clinical care into tumor biology. We studied patients with newly diagnosed multiple myeloma (MM), comparing cytogenetic test patterns according to history of prior malignancy. Methods: In this retrospective cohort study, we identified 2,380 patients from the COTA real-world database (RWD) who were newly diagnosed with MM in the years 2010-2018. The COTA RWD is a de-identified composite of both abstracted electronic health record and administrative data pertaining to patients receiving their cancer care at one of COTA's clinical oncology practice partners. Among these patients, 1769 (74%) had evidence of MM-associated cytogenetic testing with fluorescent in-situ hybridization (FISH) within the 120 days surrounding their date of diagnosis. The 1,769 patients form the analytic cohort. We compared patients' FISH results for t(4;14), deletion(17p), t(14;16), deletion(13), t(14;20), t(6;14), t(11;14), deletion (1p), and amplification(1q) according to their history of prior malignancy. Results: Within the cohort, 263 prior malignancies were identified in 241 patients (14%, 241/1,769). Two-hundred and twenty-one patients (92%) had one prior malignancy, 28 (7.9%) had two prior malignancies, and one (<1%) had four prior malignancies. The most common prior malignancies were prostate (n=50), breast (n=19), melanoma (n=14), skin (n=13), and cervix (n=6). Amplification of the long arm of chromosome one (amp(1q)) was noted in 31% of patients (75/241) with a prior malignancy vs. 24% of patients (370/1,528) without (chi2 test p=0.02). Overall 25% of patients had amp(1q). No other translocations, amplifications, deletions were associated with prior cancers. A non-parametric test for trend revealed a strong positive association between patients' malignancy count (range 0-4) and amp1q (p<0.01). MM patients with prior lymphomas and prior melanomas also had high rates of amp(1q), though these were not significantly different from patients without these prior malignancies. In a multivariable logistic regression model that adjusted for patient demographic attributes, other known potentially collinear MM poor prognostic factors (i.e., revised ISS stage, IgA sub-type, lambda light chains) and adjusted standard errors for clustering of patients within treatment settings, a history of prostate cancer remained clinically and statistically significantly positively associated with amp(1q) (OR 2.1, 95% CI: 1.9-2.2) as did history of two or more prior malignancies (OR 2.8, 95% CI: 2.3-3.3). Of note, amp(1q) was positively associated with IgA subtype (OR 1.5, 95% CI: 1.3-1.6) and the presence of lambda subtype (OR 1.3, 95%CI: 1.3-1.4). Conclusions: Using RWD, we found that newly diagnosed MM patients with histories of prostate cancer and those with two or more prior malignancies were more likely to have amp(1q), a poor prognostic marker in MM. Gains in 1q have previously been identified among patients with prostate and lymphoid cancers, but to our knowledge this is the first study to identify an association with a prior history of cancer, especially prostate cancer, and amp(1q) in MM. This relationship is worth further exploration of whether there is a common pathway associated with for example risk of prostate cancer and amp(1q) in MM. Clinical trials are less likely to answer this question as patients with prior malignancies are often excluded from enrollment. Overall, the results reported suggest that RWD is an efficient and comparatively inexpensive tool to support research in cancer biology through hypothesis generating and testing analyses of linked real-world phenotypic and genotypic data. Disclosures Lamont: COTA: Employment. Yee:Celgene: Consultancy, Honoraria, Research Funding; Karyopharm: Consultancy; Bristol-Myers Squibb: Consultancy, Research Funding; Takeda: Consultancy; Adaptive: Consultancy; Amgen: Consultancy, Honoraria. Goldberg:Cancer Outcomes Tracking and Analysis (COTA) Inc.: Equity Ownership; COTA: Equity Ownership; Bristol-Myers Squibb: Consultancy. Norden:COTA: Employment, Equity Ownership.


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