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Lenalidomide in Combination with Dexamethasone Was More Effective Than Dexamethasone in Patients Who Have Received Prior Thalidomide for Relapsed or Refractory Multiple Myeloma.
Wang, Michael , Dimopoulos, Melitios A., Alexanian, Raymond , Yu, Zhinuan, Zeldis, Jerome B. , Olesnyckyj, Marta, Weber, Donna, Knight, Robert , Siegel, David S. , Rajkumar, S. Vincent , Facon, Thierry T.F.

Mayo Clinic

Blood | October 11, 2019 | Volume: 108 | Issue: 11 | Pages: 3553-3553

10.1182/blood.v108.11.3553.3553 Get It

Abstract Lenalidomide (Len), an analog of thalidomide (thal) is a novel, oral, immunomodulatory agent that is effective against multiple myeloma (MM). In 2 prospective, randomized, double-blind, placebo-controlled Phase III trials. Len with dexamethasone (Dex) induced a significantly higher overall response rate (OR) and complete remission rate (CR), as well as longer time-to-progression (TTP) in comparison with Dex alone. This prospective analysis assessed whether prior thalidomide exposure might induce subsequent resistance to Len/Dex. We evaluated 704 patients (pts) from both trials (MM009, MM010) who had relapsed or refractory multiple myeloma, had not been resistant to Dex and were randomized to receive either oral Len (25 mg daily for 3 weeks every 4 weeks) plus Dex (40 mg on days 1–4, 9–12, 17–20 every 4 weeks for 4 cycles) or placebo plus Dex. Two hundred seventy four pts (39%) received prior thal, while 430 (61%) had not. The prior thal exposed pts and thal-naive pts were similar in regard to age, Beta-2-microglobulin, hemoglobin, serum M protein, albumin and history of previous transplantation. The frequency of deep venous thrombosis and pulmonary embolism (DVT/PE) with prior thal exposure was higher at 14% with Len/Dex than 4% with Dex alone (p < 0.01). However, the frequency of DVT/PE with no prior thal exposure was similar at 8% with Len/Dex to 6% with Dex alone (p = 0.49). In the prior thal pts, severe neuropathy occurred in 4% with Len/Dex, not significantly different from the 1% with Dex alone (p=0.2). The pooled data from all 704 pts showed that pts treated with Len/Dex, compared with those treated with Dex alone, had superior median Time-To-Progression (TTP) (48 vs 20 weeks) and OR (60% vs 22%, p <0.001). Similarly, among the subgroups exposed or not exposed to thal, Len/Dex was superior to Dex alone in OR and TTP. For the 126 patients who received prior thal, the OR with Len/Dex was significantly less (43%) among 54 Pts resistant to thal than that observed for 72 Pts who had been sensitive to thal (63%, p < 0.05). Multivariate analysis using Cox proportion hazards model indicated that after controlling for treatment (Len/Dex vs Dex) and baseline disease characteristics, independent and significant predictors of shorter TTP included prior thal exposure, duration of myeloma and number of prior therapies. Len in combination with Dex was more effective than Dex in patients with relapsed or refractory multiple myeloma despite prior thal exposure. Results with Len/Dex were superior for those not exposed to thal, suggesting some, but not complete, cross resistance between Len and thal. Len/Dex vs Dex with or without Prior Thal Thal (N=274) No Thal (N=430) LD D p LD D p Intent-to-Treat (n) 126 148 227 203 TTP (med. weeks) 36.9 19.9 <.001 61.3 20.4 <.001 OR (%) 54.0 14.9 <.001 63.4 27.6 <.001 PR (%) 42.1 12.8 <.001 32.2 23.2 <.05 NCR (%) 4.0 0.7 <.001 13.2 2.0 <.001 CR (%) 7.9 1.4 <.01 18.1 2.5 <.001
Biomarkers Predict Graft-Vs-Host Disease Outcomes Better Than Clinical Response after One Week of Treatment
Major-Monfried, Hannah , Özbek, Umut , Renteria, Anne S. , Pawarode, Attaphol , Yanik, Gregory A. , Ayuk, Francis , Holler, Ernst , Efebera, Yvonne A. , Wölfl, Matthias , Ordemann, Rainer, Mielke, Stephan , Bunworasate, Udomsak , Chen, Yi‐Bin , Harris, Andrew C. , Jagasia, Madan , Litzow, Mark R. , Nakamura, Ryotaro , Roesler, Wolf, Weber, Daniela , Ferrara, James L.M. , Hartwell, Matthew J. , Hogan, William J. , Qayed, Muna , Hexner, Elizabeth O. , Wudhikarn, Kitsada , Mielke, Stephan , Devine, Steven M. , Kröger, Nicolaus , Malki, Monzr M. Al , Kitko, Carrie L. , Locatelli, Franco , Reddy, Pavan , Reshef, Ran , Levine, John E.

Mayo Clinic

Blood | October 11, 2019 | Volume: 128 | Issue: 22 | Pages: 510-510

10.1182/blood.v128.22.510.510 Get It

Abstract Graft-versus-host disease (GVHD), the primary cause of non-relapse mortality (NRM) following allogeneic hematopoietic stem cell transplantation, does not always respond to treatment with high dose systemic corticosteroids. We have recently shown that a combination of three biomarkers (TNFR1, ST2, and REG3α) measured at onset of GVHD can predict day 28 response to treatment and 6-month NRM (Levine, Lancet Haem, 2015). Our goal in the current study was to determine if the same biomarker-based Ann Arbor GVHD algorithm can alsopredict treatment response andmortality whenapplied after one week of systemic corticosteroid treatment. The study population consisted of 378 patients (pts) with acute GVHD from 11 centers in the Mount Sinai Acute GVHD International Consortium. All pts were treated with systemic steroids and provided a plasma or serum sample obtained after one week of treatment (±3 days). The median starting dose of systemic steroids for Grade II-IV GVHD was 2.0 mg/kg/day and for Grade I was 1.0 mg/kg/day, after which treatment varied. Patients were divided into test (n=236) and validation (n=142) cohorts. We applied the Ann Arbor GVHD algorithm to concentrations of TNFR1, ST2, and REG3α measured after one week of treatment to generate a predicted probability of 6-month NRM, which we term the treatment score (TS). We employed unsupervised k-medoidclustering to partition TS values from the test cohort into two groups (high and low). This unbiased approach identified a high score group made up of 25% of pts (n=58) in the test cohort. We observed that the day 28 response rate (complete, CR + partial, PR) was significantly lower in pts with high scores compared to low scores in the test cohort (24% vs 65%, p<0.0001) (Fig 1A). Analysis of the validation cohort using the same TS definitions showed similar differences in response rates (22% vs 61%, p<0.0001) (Fig 1B). Further, nearly four times as many pts with high scores in both cohorts died within 6 months from non-relapse causes compared to pts with low scores (test: 57% vs 17%, p<0.0001; validation: 57% vs 14%, p<0.0001) (Fig 1C/D). As expected, the majority of non-relapse deaths in pts treated for GVHD were directly attributable to GVHD (test: 95%; validation: 89%). Relapse rates for high and low score pts were similar (data not shown), and thus pts with a high TS experienced significantly worse overall survival in both cohorts (test: 37% vs 72%, p<0.0001; validation: 38% vs 79%, p<0.0001) (Fig 1E/F). Approximately half of the pts in each cohort (test: 48%; validation: 44%) responded (CR+PR) to the first week of steroids and these ptshad significantly lower 6-month NRM than non-responders (NR) (test: 17% vs 36%, p=0.0002; validation: 13% vs 36%, p=0.0014). Yet the TS continued to stratify mortality risk independently of clinical response. In the test cohort, pts with a high score comprised 16% of all early responders and experienced more than twice the NRM of early responders with a low score (33% vs 13%, p=0.022) (Fig 2A). Conversely, test cohort pts who did not respond by day 7, but had a low score, fared much better than non-responders with a high score (NRM 21% vs 68%, p<0.0001) (Fig 2B). Two thirds of early non-responders comprised this more favorable group. These highly significant results reproduced in the independent validation cohort in similar proportions (CR+PR: 45% vs 6%, p=0.0003; NR: 61% vs 22%, p=0.0001) (Fig 2C/D). Finally, a subset analysis revealed that pts classified as NR after one week of steroids due to isolated, yet persistent, grade I skin GVHD (24/378, 6%) overwhelmingly had low treatment scores (22/24, 92%) and experienced rates of NRM (9%) comparable to responders with low scores, thus forming a distinct, albeit small, subset of pts with non-responsive GVHD that fares particularly well (Fig 3). In conclusion, a treatment score based on three GVHD biomarkers measured after one week of steroids stratifies pts into two groups with distinct risks for treatment failure and 6-month NRM. It is particularly noteworthy that the TS identifies two subsets of pts with steroid refractory (SR) GVHD who have highly different outcomes (Fig 2B/D). The much larger group, approximately two thirds of all SR pts, may not need the same degree of treatment escalation as is traditional for clinical non-response, and thus overtreatment might be avoided. Because the TSis measured at a common decision making time point, it may prove useful to guide risk-adapted therapy. Disclosures Mielke: Novartis: Consultancy; MSD: Consultancy, Other: Travel grants; Celgene: Other: Travel grants, Speakers Bureau; Gilead: Other: Travel grants; JAZZ Pharma: Speakers Bureau. Kroeger:Novartis: Honoraria, Research Funding. Chen:Incyte Corporation: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding. Jagasia:Therakos: Consultancy. Kitko:Therakos: Honoraria, Speakers Bureau. Ferrara:Viracor: Patents & Royalties: GVHD biomarker patent. Levine:Viracor: Patents & Royalties: GVHD biomarker patent.
An Early Biomarker Algorithm Predicts Lethal Graft-Versus-Host Disease and Survival after Allogeneic Hematopoietic Cell Transplantation
Özbek, Umut , Holler, Ernst , Renteria, Anne S. , Aziz, Mina, Ayuk, Francis , Efebera, Yvonne A. , Bunworasate, Udomsak , Ordemann, Rainer, Wölfl, Matthias , Mielke, Stephan , Pawarode, Attaphol , Chen, Yi‐Bin , Harris, Andrew C. , Jagasia, Madan , Litzow, Mark R. , Nakamura, Ryotaro , Roesler, Wolf, Weber, Daniela , Yanik, Gregory A. , Ferrara, James L.M. , Hartwell, Matthew J. , Reddy, Pavan , Hogan, William J. , Hexner, Elizabeth O. , Qayed, Muna , Mielke, Stephan , Devine, Steven M. , Kitko, Carrie L. , Kröger, Nicolaus , Locatelli, Franco , Reshef, Ran , Wudhikarn, Kitsada , Levine, John E.

Mayo Clinic

Blood | October 10, 2019 | Volume: 128 | Issue: 22 | Pages: 509-509

10.1182/blood.v128.22.509.509 Get It

Abstract No laboratory test can predict non-relapse mortality (NRM) after hematopoietic cellular transplantation (HCT) prior to the onset graft-versus-host disease (GVHD). Recently, we have shown that a signature of three GVHD plasma biomarkers (TNFR1, ST2, and REG3α) can predict response to GVHD therapy and NRM at the onset of clinical GVHD (Levine, Lancet Haem, 2015). Our goal in the current study was to identify a blood biomarker signature that could predict lethal GVHD and six-month NRM well in advance of the onset of GVHD symptoms. Patient samples on day +7 after HCT were obtained from 1,287 patients from 11 HCT centers in the Mount Sinai Acute GVHD International Consortium (MAGIC). Samples from two large centers (n = 929) were combined and randomly assigned to a training set (n = 620) and test set (n = 309). 358 patients from nine others centers constituted an independent validation set. The overall cumulative incidences of 6-month NRM were 11%, 12%, and 13% for the training, test, and validation sets respectively. The incidence of lethal GVHD, defined as death without preceding relapse while under steroid treatment for acute GVHD, were 18%, 24%, and 14% in the same groups, respectively. The median day of GVHD onset was 28 days in the training set and 29 days in the test and validation sets. We measured four GVHD related biomarkers [ST2, REG3α, TNFR1, and IL2Rα] in all samples and used the training set alone to develop competing risks regression models that used all 13 possible combinations of one to four biomarkers to predict 6-month NRM. The best algorithm, which we rigorously confirmed through Monte Carlo cross-validation of 75 different combinations of training sets, included ST2 and REG3α. No combination of one, three, or four biomarkers was superior to the combination of these two biomarkers. The day 7 algorithm identified high risk (HR) and low risk (LR) groups with 6-month NRMs of 28% and 7%, respectively (p<0.001) (Fig 1A). The relapse rates did not differ between risk groups so that overall survival (OS) was 60% for HR and 84% for LR (p<0.001) (Fig 1B). When applied to the test set (Fig 1C/D), the algorithm identified 54/309 (17%) of the patients as HR with an NRM of 33% vs 7% for LR patients (p<0.001) and 6-month OS of 57% and 81% for HR and LR patients, respectively (p<0.001). In the independent validation set (Fig 1 E/F), the algorithm identified 72/358 (20%) of the patients as HR with an NRM of 26% vs 10% for LR patients (p<0.001) and OS of 68% and 85% for HR and LR patients, respectively (p<0.001). High risk patients were three times more likely to die from GVHD than LR patients in each cohort (p<0.001) (Fig 2). The GI tract is the GVHD target organ that is most resistant to treatment and represents a major cause of NRM, and we observed twice as much severe GI GVHD (stage 3 or 4) in HR patients as in LR patients (p<0.001, data not shown). The algorithm successfully separated HR and LR strata for 6 month NRM in several groups with differing risks for GVHD and NRM, including donor type, degree. of HLA-match, age group, and conditioning regimen intensity (Fig 3). In conclusion, we have developed a blood biomarker algorithm that predicts the development of lethal GVHD seven days after HCT, which performed successfully in large multicenter validation sets. The GVH reaction is already in progress by day +7, even though clinical symptoms may not occur until days or weeks later. We speculate that the blood biomarker concentrations at this early time point reflect subclinical GI pathology, a notion that is reinforced by the fact that ST2 and REG3α, the two biomarkers in the algorithm, are closely associated with GI GVHD. The algorithm identified HR and LR strata in several patient groups with different overall risk for lethal GVHD (donor, HLA match, conditioning regimen intensity, age). This day +7 algorithm should prove useful in clinical BMT research by identifying patients at high risk for lethal GVHD who might benefit from aggressive preemptive treatment strategies. Disclosures Chen: Novartis: Research Funding; Incyte Corporation: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Jagasia:Therakos: Consultancy. Kitko:Therakos: Honoraria, Speakers Bureau. Kroeger:Novartis: Honoraria, Research Funding. Levine:Viracor: Patents & Royalties: GVHD biomarkers patent. Ferrara:Viracor: Patents & Royalties: GVHD biomarkers patent.
A New Prognostic Model for Response in Myelofibrosis Patients Treated with JAK2 Inhibitors: A Study from Three US Academic Centers
Kamal, Menghrajani, Boonstra, Philip S. , Weber, Alissa A., Perkins, Cecelia , Gowin, Krisstina , Nguyen, Huong , Mesa, Ruben A. , Gotlib, Jason , Talpaz, Moshe

Mayo Clinic

Blood | October 10, 2019 | Volume: 124 | Issue: 21 | Pages: 1842-1842

10.1182/blood.v124.21.1842.1842 Get It

Abstract Background: JAK2 inhibitors have been shown to improve symptoms and produce durable reductions in splenomegaly in patients with myelofibrosis (MF), and ruxolitinib has been shown to improve survival in MF patients (Cervantes et al., 2013; Verstovsek et al., 2013). Current prognostic models such as DIPSS plus (Gangat et al., 2011) predict survival in MF based on clinical, laboratory, and cytogenetic information, but their value in predicting clinical response or survival during treatment with JAK2 inhibitors remains unknown. We hypothesized that clinical features such as bone marrow fibrosis and splenomegaly may have independent effects on therapy response. Therefore, we conducted a retrospective analysis to create a new model to risk stratify patients with respect to their likelihood of responding to oral JAK2-inhibitor therapy. Methods: We studied a cohort of 203 patients with bone marrow biopsy-proven MF seen at University of Michigan, Stanford University, and Mayo Clinic in Scottsdale, AZ. These patients were all treated with ruxolitinib or an experimental JAK2 inhibitor. Our primary endpoint was defined as IWG-MRT criteria for splenic response by palpation (Tefferi et al., 2013). Response in patients with spleen size of less than 5 cm was defined as complete resolution of splenomegaly. Of the 203 patients studied, splenic response was evaluated after 3 months of therapy in 167 patients and after 6 months of therapy in 138 patients; 127 patients were in both groups. A logistic regression was performed to identify factors that would predict clinical response. Results: The following characteristics were significantly associated with spleen response at 3 and 6 months: initial spleen size, European consensus criteria grading of MF on bone marrow biopsy, initial DIPSS plus score, and initial WBC count. Cellularity on marrow biopsy was not significant. We enriched a baseline logistic model of initial dose of oral JAK2 therapy and DIPSS plus score with additional prognostic factors. We found the following clinical characteristics to be jointly associated with splenic response: normalized initial dose of oral JAK2 inhibitor, initial spleen size, DIPSS plus score, degree of fibrosis by European consensus criteria. Duration of disease from time of diagnosis to time of treatment initiation was not prognostic for splenic response. We used this model to calculate the probability of splenic response based on a risk score: Risk score = –1.18(Dose) + 0.09(Initial Spleen Size in cm) + 0.20(DIPSS-plus Points) +0.92 (if fibrosis is MF-3). The probability at 6 months can then be calculated from the risk score as follows: [1/(1+e(risk score-2.6))]. The figure demonstrates the prognostic gain of our model over a model based on DIPSS plus alone. Conclusion: With this observational study, we propose a predictive model which may serve as a clinical tool to identify which patients are most likely to benefit from JAK2 inhibitor-based therapies. Further validation in independent data sets will be required before this model can be more widely applied. Disclosures Mesa: Incyte Corporation, CTI, NPS Pharma, Inc., Gilead Science Inc., Celgene: Research Funding. Gotlib:Incyte: Consultancy, Honoraria, Research Funding, Travel Reimbursement Other; Gilead: Research Funding; Sanofi: Research Funding; Novartis: Research Funding, Travel Reimbursement, Travel Reimbursement Other. Talpaz:ARIAD Pharmaceuticals, Inc., BMS, Sanofi, Incyte, Pfizer: Research Funding.
Inhibition of Spleen Tyrosine Kinase with Fostamatinib Shows Pre-Clinical Activity Against Models of Waldenström Macroglobulinemia
Kuiatse, Isere, Weber, Donna M., Stein, Adam M., Wang, Michael , Shah, Jatin J., Ansell, Stephen M. , Thomas, Sheeba K. , Stein, Adam M., Treon, Steven P. , Orlowski, Robert Z.

Mayo Clinic

Blood | October 9, 2019 | Volume: 120 | Issue: 21 | Pages: 3723-3723

10.1182/blood.v120.21.3723.3723 Get It

Abstract Abstract 3723 Background: Waldenström macroglobulinemia (WM), a lymphoproliferative disorder with marrow infiltration by lymphoplasmacytic lymphoma cells and production of monoclonal IgM, is characterized clinically by good initial responses to standard therapeutic approaches. However, a minority of patients achieve a complete remission, and most inevitably relapse, indicating a need for validation of new, targeted therapies. Notably, B-cell receptor signaling has been linked to clonal evolution in WM, and Spleen tyrosine kinase (Syk) is over-expressed in primary patient cells. Also, a recent phase I/II study of the Syk inhibitor fostamatinib in patients with a variety of non-Hodgkin lymphomas showed evidence of activity in three patients with WM. These findings supported our central hypothesis, which proposed that Syk could be a rational new target for therapy of WM, which we pursued first with pre-clinical studies. Methods: Studies of fostamatinib were performed using the WM cell line MWCL-1, and the IgM-producing cell line BWCM.1, as well as in primary cells from patients with WM, and in a novel murine xenograft model utilizing MWCL-1 cells. Results: Fostamatinib induced a time- and dose-dependent reduction in viability of MWCL-1 and BWCM.1 cells, with median inhibitory concentrations (IC50) that were in the physiologically relevant range of approximately 0.25 and 1 μM, respectively, at 3 days. Cell cycle analysis showed a decrease in cells at S-phase and at G2/M, while an increase was seen in cells in G1, and in the sub-G1fraction, suggesting induction of apoptosis. Consistent with the possibility that there was activation of type I programmed cell death, increased staining was seen in fostamatinb-treated cells with an antibody to Annexin V. Interestingly, evidence was seen of the induction of type II programmed cell death, or autophagy, as measured by an increase in cells staining with the lysotropic dye acridine orange. At the molecular level, fostamatinib blocked signaling through p44/42 mitogen-activated protein kinase (MAPK), MAPK kinase (MEK), protein kinase B/Akt, and Zeta-chain-associated protein kinase (ZAP)-70/Syk, as judged by a reduction in the phosphorylated forms of these intermediates by Western blotting. Notably, the viability of primary cells isolated from patients with WM was also reduced in association with blockade of p44/42 MAPK. Finally, a novel murine xenograft model was generated by injection of MWCL-1 cells into immunodeficient mice, which developed measurable tumors. When these were treated with fostamatinib, a delay in tumor growth was demonstrable. Conclusions: Targeting Syk with fostamatinib is an attractive strategy against pre-clinical models of WM both in vitro and in vivo. These findings lend further support for translation of fostamatinib to the clinic for patients with relapsed, and possibly even newly diagnosed WM. Disclosures: No relevant conflicts of interest to declare.
NCCN Guidelines Insights: Multiple Myeloma, Version 1.2020
Kumar, Shaji , Hillengaß, Jens , Liedtke, Michaela , Campagnaro, Erica , Chandler, Jason C., Cornell, Robert F. , Costello, Caitlin , Efebera, Yvonne A. , Faiman, Matthew , Garfall, Alfred L. , Godby, Kelly, Holmberg, Leona , Htut, Myo , Huff, Carol Ann , Malek, Ehsan , Omel, James, Sborov, Douglas W. , Stockerl‐Goldstein, Keith , Tan, Carlyn , Weber, Donna, Johnson-Chilla, Alyse, Keller, Jennifer , Holmberg, Leona , Callander, Natalie S. , Baljević, Muhamed , Castillo, Jorge J. , Kang, Yubin , Landgren, Ola , Martin, Thomas G. , Raje, Noopur , Singhal, Seema , Kumar, Rashmi , Garfall, Alfred L , Campagnaro, Erica L , Stockerl-Goldstein, Keith

Mayo Clinic

Journal of the National Comprehensive Cancer Network | October 7, 2019 | Volume: 17 | Issue: 10 | Pages: 1154-1165

10.6004/jnccn.2019.0049 | PMID 31590151 Get It

The NCCN Guidelines for Multiple Myeloma provide recommendations for diagnosis, workup, treatment, follow-up, and supportive care for patients with monoclonal gammopathy of renal significance, solitary plasmacytoma, smoldering myeloma, and multiple myeloma. These NCCN Guidelines Insights highlight some of the important updates and changes in the 1.2020 version of the NCCN Guidelines for Multiple Myeloma.
Metastatic Spine Disease: Should Patients With Short Life Expectancy Be Denied Surgical Care? An International Retrospective Cohort Study
Dea, Nicolas , Versteeg, Anne , Sahgal, Arjun , Verlaan, Jorrit‐Jan , Charest-Morin, Raphaële , Rhines, Laurence D. , Sciubba, Daniel M. , Schuster, James M. , Weber, Michael H. , Lazáry, Áron , Laufer, Ilya , Gokaslan, Ziya L. , Fisher, Charles G. , Tumor, on behalf of the AOSpine Knowledge Forum, Versteeg, Anne L. , Lazary, Aron , Fehlings, Michael G. , Clarke, Michelle J. , Arnold, Paul M. , Boriani, Stefano , Bettegowda, Chetan , Tumor, on behalf of the AOSpine Knowledge Forum

Mayo Clinic

Neurosurgery | October 1, 2019 | Volume: 87 | Issue: 2 | Pages: 303-311

10.1093/neuros/nyz472 | PMID 31690935 Get It

Abstract BACKGROUND Despite our inability to accurately predict survival in many cancer patients, a life expectancy of at least 3 mo is historically necessary to be considered for surgical treatment of spinal metastases. OBJECTIVE To compare health-related quality of life (HRQOL) in patients surviving <3 mo after surgical treatment to patients surviving >3 mo to assess the validity of this inclusion criteria. METHODS Patients who underwent surgery for spinal metastases between August 2013 and May 2017 were retrospectively identified from an international cohort study. HRQOL was evaluated using generic and disease-specific outcome tools at baseline and at 6 and 12 wk postsurgery. The primary outcome was the HRQOL at 6 wk post-treatment measured by the Spine Oncology Study Group Outcomes Questionnaire (SOSGOQ). RESULTS A total of 253 patients were included: 40 patients died within the first 3 mo after surgery and 213 patients survived more than 3 mo. Patients surviving <3 mo after surgery presented with lower baseline performance status. Adjusted analyses for baseline performance status did not reveal a significant difference in HRQOL between both groups at 6 wk post-treatment. No significant difference in patient satisfaction at 6 wk with regard to their treatment could be detected between both groups. CONCLUSION When controlled for baseline performance status, quality of life 6 wk after surgery for spinal metastasis is independent of survival. To optimize improvement in HRQOL for this patient population, baseline performance status should take priority over expected survival in the surgical decision-making process.
Patient satisfaction with treatment outcomes after surgery and/or radiotherapy for spinal metastases
Versteeg, Anne L. , Sahgal, Arjun , Kawahara, Norio , Rhines, Laurence D. , Sciubba, Daniel M. , Weber, Michael H. , Lazáry, Áron , Schuster, James M. , Gokaslan, Ziya L. , Fisher, Charles G. , Tumor, for the AOSpine Knowledge Forum, Versteeg, Anne , Lazary, Aron , Fehlings, Michael G. , Clarke, Michelle J. , Arnold, Paul M. , Boriani, Stefano , Bettegowda, Chetan , Tumor, for the AOSpine Knowledge Forum

Mayo Clinic

Cancer | September 6, 2019 | Volume: 125 | Issue: 23 | Pages: 4269-4277

10.1002/cncr.32465 | PMID 31490548 Get It

BackgroundPatient satisfaction is infrequently investigated despite its importance in assessing efficacy and patient comprehension. The purpose of this study was to investigate patient satisfaction with treatment outcomes after surgery and/or radiotherapy for spinal metastases and to evaluate how health‐related quality of life (HRQOL) is related to patient satisfaction.MethodsPatients with spinal metastases treated with surgery and/or radiotherapy were enrolled in a prospective, international, observational study. Demographic, histologic, treatment, and HRQOL data were collected. HRQOL was evaluated with the Numeric Rating Scale pain score, the 3‐level version of the EuroQol 5‐Dimension (EQ‐5D‐3L) instrument, and the Spine Oncology Study Group Outcomes Questionnaire (SOSGOQ2.0). Patient satisfaction was derived from the SOSGOQ2.0 at 6, 12, and 26 weeks after treatment. Patients were classified as satisfied, neutral, or dissatisfied.ResultsTwelve weeks after treatment, 183 of the surgically treated patients (84%) were satisfied, and only 11 (5%) were dissatisfied; in contrast, 101 of the patients treated with radiotherapy alone (77%) were satisfied, and only 7 (5%) were dissatisfied. Significant improvements in pain, physical function, mental health, social function, leg function, and EQ‐5D were associated with satisfaction after surgery. Satisfaction after radiotherapy was associated with significant improvements in pain, mental health, and overall SOSGOQ2.0 scores. Dissatisfaction after treatment was associated with lower baseline values for leg strength and lower social functioning scores for surgically treated patients and with lower social functioning scores and being single for patients treated with radiotherapy.ConclusionsHigh levels of satisfaction with treatment outcomes are observed after surgery and/or radiotherapy for spinal metastases. Posttreatment satisfaction is associated with significant improvements in pain and different dimensions of HRQOL.
Association of neurologic deficits with surgical outcomes and health‐related quality of life after treatment for metastatic epidural spinal cord compression
Barzilai, Ori , Versteeg, Anne L. , Goodwin, C. Rory , Sahgal, Arjun , Rhines, Laurence D. , Sciubba, Daniel M. , Schuster, James M. , Weber, Michael H. , Lazáry, Áron , Gokaslan, Ziya L. , Fisher, Charles G. , Laufer, Ilya , Tumor, for the AOSpine Knowledge Forum, Goodwin, C Rory , Versteeg, Anne , Lazary, Aron , Fehlings, Michael G. , Clarke, Michelle J. , Arnold, Paul M. , Boriani, Stefano , Bettegowda, Chetan , Tumor, for the AOSpine Knowledge Forum

Mayo Clinic

Cancer | August 14, 2019 | Volume: 125 | Issue: 23 | Pages: 4224-4231

10.1002/cncr.32420 | PMID 31410854 Get It

BackgroundA critical knowledge gap exists regarding the impact of neurologic deficits on surgical outcomes and health‐related quality of life (HRQOL) for patients surgically treated for metastatic epidural spinal cord compression (MESCC).MethodsThis prospective, multicenter and international study analyzed the impact of the neurologic status on functional status, HRQOL, and postoperative survival. The collected data included the patient demographics, overall survival, American Spinal Injury Association (ASIA) impairment scale, Spinal Instability Neoplastic Score, treatment details and complications and HRQOL measures, including version 2 of the 36‐Item Short Form Health Survey (SF‐36v2) and version 2.0 of the Spine Oncology Study Group Outcomes Questionnaire (SOSGOQ2.0).ResultsA total of 239 patients surgically treated for spinal metastases were included. Six weeks after treatment, 99 of the 108 patients with a preoperative ASIA grade of E remained stable, 8 deteriorated to ASIA D, and 1 deteriorated to ASIA A. Of 55 patients with ASIA D, 27 improved to ASIA E, 27 remained stable and 1 deteriorated to ASIA C. Of 11 patients with ASIA A to C, 2 improved to ASIA E, 4 improved to ASIA D, and 5 remained stable. At the 6‐ and 12‐week follow‐up, better ASIA scores were associated with better scores on multiple SF‐36v2 and SOSGOQ items. Postoperatively, patients with ASIA grades of A to D were more likely to have urinary tract infections and wound complications. Patients with a baseline ASIA grade of E or D survived significantly longer.ConclusionsPatients with neurologic deficits due to MESCC have worse HRQOL and decreased overall survival. Nevertheless, surgery can result in stabilization or improvement of neurologic function which may translate into better HRQOL. Postoperative care and follow‐up are challenging for patients with neurologic deficits because they experience more complications.
Individualized Delay for Abdominal Computed Tomography Angiography Bolus-Tracking Based on Sequential Monitoring: Increased Aortic Contrast Permits Decreased Injection Rate and Lower Iodine Dose
Gutjahr, Ralf , Lee, Yong S. , Halaweish, Ahmed F., Suresh, Vighnesh , Weber, Nikkole M. , Vrtiska, Terri J., Williamson, Eric E. , Schmidt, Bernhard , Fletcher, Joel G. , McCollough, Cynthia H.

Mayo Clinic

Journal of Computer Assisted Tomography | July 3, 2019 | Volume: 43 | Issue: 4 | Pages: 612-618

10.1097/rct.0000000000000874 | PMID 31268876 Get It

Objective The aim of this study was to determine if computed tomography (CT) angiography using an individualized transition delay (CTA-ID) would facilitate reductions in injection rate and iodine dose. Methods The CTA-ID was performed in 20 patients with routine injection rate and iodine dose; 20 patients with injection rate lowered by 1 mL/s; and 40 patients with injection rate lowered by 1 mL/s with 29% less iodine. Routine CTAs in the same or size-matched patients served as controls. Diagnostic image quality and intra-arterial CT numbers were assessed. Results The median transition delay between aortic threshold and CTA-ID image acquisition was significantly longer than with conventional bolus tracking (mean increase, 13.3 seconds; P < 0.0001), with image quality being the same or better. Intra-arterial CT numbers were 200 Hounsfield units or greater for 80 of 80 CTA-ID, but not for 6 of 49 (12%) internal control or for 11 of 80 (14%) size-matched control patients. Conclusion The CTA-ID bolus-tracking software alters transition delays to permit diagnostic CTA examinations despite slower injection rate and less iodine.