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123 citation(s) found for "Novotny, Paul".

Home-Based Rehabilitation for COPD: A Qualitative Analysis of a Large Randomized Study
Thomas, B.E., Novotny, Paul J. , Benzo, Roberto, Ridgeway, Jennifer L.

C106. PULMONARY REHABILITATION | August 26, 2019 | Volume: No volume available | Issue: No issue available | Pages: A5735-A5735

10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a5735 Get It

Theoretical Framework of the Effect of Health Coaching on Quality of Life in COPD
Benzo, Roberto, Novotny, Paul J. , Lam, N., Lee, M.

C106. PULMONARY REHABILITATION | August 26, 2019 | Volume: No volume available | Issue: No issue available | Pages: A5728-A5728

10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a5728 Get It

How Much to Change Physical Activity and Sedentary Time to Meaningfully Impact Quality-of-Life in Patients with Moderate-to-Severe Chronic Obstructive Pulmonary Disease
Driver, Christine , Novotny, Paul J. , Benzo, Roberto, Driver, C.N.

C106. PULMONARY REHABILITATION | August 26, 2019 | Volume: No volume available | Issue: No issue available | Pages: A5725-A5725

10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a5725 Get It

Longitudinal toxicity analysis with novel summary metrics of lenalidomide maintenance in follicular lymphoma in ECOG-ACRIN 2408.
Thanarajasingam, Gita , Novotny, Paul J. , Advani, Ranjana H. , Gascoyne, Randy D. , Quon, Andrew , Ranheim, Erik A. , Evens, Andrew M. , Advani, Ranjana H , Evens, Andrew M , Dueck, Amylou C. , Habermann, Thomas M. , Witzig, Thomas E. , Kahl, Brad S. , Hong, Fangxin

Journal of Clinical Oncology | May 27, 2019 | Volume: 37 | Issue: 15_suppl | Pages: 6511-6511

10.1200/jco.2019.37.15_suppl.6511 Get It

6511 Background: Conventional adverse event (AE) analysis (ToxC) focuses on incidence of grade (gr) 3+ toxicities, and fails to capture AE time profile. Novel metrics that reflect chronic low gr and overall AE burden are needed. We applied the Toxicity over Time (ToxT) approach to ECOG-ACRIN 2408 to depict time-dependent toxicity of lenalidomide (L) with rituximab maintenance (MR) in follicular lymphoma (FL), and we developed a novel summary metric of symptomatic AE burden, the maximum gr over time (MGOT). Methods: In E2408, high risk FL patients (pts) were randomized (1:2:2) to: A) bendamustine-rituxumab (BR) x 6 then MR x 2 years (yrs) vs B) BR-bortezomib x 6 then MR x 2 yrs vs C) BR x 6 then MR x 2 yrs + L x 1 yr (MRL). Analysis included 3 laboratory and 5 symptomatic AEs of highest incidence during maintenance on arms A and C. Treatment-related AEs of any gr were analyzed by ToxC and ToxT. Repeated measures, time-to-event (TTE) and area under the curve (AUC) analyses capture trends over time in ToxT. MGOT combines the 5 symptomatic AEs. Results: 104 randomized pts (30 MR, 74 MRL) were included. For the laboratory AEs, by ToxC, neutropenia incidence was significantly higher in MRL (84%) than MR (47%, p < .001). ToxT additionally shows neutropenia does not worsen over time (10/14/20% gr 1/2/3+ at c1, 6/21/12% gr 1/2/3+ at c12). For the symptomatic AEs, ToxC indicates 2% gr 3+ GI AEs. However, gr 1-2 GI AEs are more common on MRL (59%) than MR (26%, p < .001). ToxT AUC captures a higher burden of GI AEs over time on MRL(2.8) vs MR(1.4, p = .002). TTE depicts sooner GI AE onset in MRL (10% vs 0% gr 2+ GI by day 50, p = 0.03). Bar charts of incidence and grade by cycle illustrate this improves over time (34/7/4% gr 1/2/3+ at c1, 13/0/0% gr 1/2/3+ at c12). ToxT MGOT analyses demonstrate earlier time to gr 2+ symptomatic AE on MRL vs MR (63% vs 31% by day 50, p < .001) and suggest that overall AE burden over time is higher for patients on MRL(AUC 18.2) than MR(11.8, p < .001). Conclusions: ToxT depicts AE time profile and can guide AE interventions. Summary metrics suggest that symptomatic AEs occur earlier and their burden over time is higher on MRL. We are implementing ToxT in patient-reported AE data to better characterize pt tolerability.
A comparison of the natural history of oxaliplatin- and paclitaxel-induced neuropathy (NCCTG N08C1, N08CB/Alliance).
Ruddy, Kathryn J. , Pachman, Dierdre, Qin, Rui , Seisler, Drew K., Puttabasavaiah, Suneetha, Novotny, Paul J. , Ta, Lauren E., Beutler, Andreas S. , Wagner‐Johnston, Nina D. , Grothey, Axel, Dakhil, Shaker R. , Loprinzi, Charles L. , Lavoie Smith, Ellen M , Staff, Nathan P.

Journal of Clinical Oncology | April 19, 2019 | Volume: 33 | Issue: 15_suppl | Pages: 9564-9564

10.1200/jco.2015.33.15_suppl.9564 Get It

CALGB 70604 (Alliance): A randomized phase III study of standard dosing vs. longer interval dosing of zoledronic acid in metastatic cancer.
Himelstein, Andrew L., Qin, Rui , Novotny, Paul J. , Seisler, Drew K., Khatcheressian, James, Roberts, John D. , Grubbs, Stephen S., Weckstein, Douglas, Loprinzi, Charles L. , O’Connor, Tracey L. , Shapiro, Charles L.

Journal of Clinical Oncology | April 19, 2019 | Volume: 33 | Issue: 15_suppl | Pages: 9501-9501

10.1200/jco.2015.33.15_suppl.9501 Get It

Effect of Doxepin Mouthwash or Diphenhydramine-Lidocaine-Antacid Mouthwash vs Placebo on Radiotherapy-Related Oral Mucositis Pain
Leenstra, James L. , Loprinzi, Charles L. , Rine, G.P., Curtis, Amarinthia, Singh, Anurag K. , Martenson, James A., Novotny, Paul J. , Tan, Angelina D., Qin, Rui , Reiter, Paul L. , Miller, Robert C. , Ko, Stephen J. , Sio, Terence T. , Le‐Rademacher, Jennifer

JAMA | April 16, 2019 | Volume: 321 | Issue: 15 | Pages: 1481

10.1001/jama.2019.3504 | PMID 30990550 Get It

A new method to analyze adverse events longitudinally in oncology clinical trials.
Thanarajasingam, Gita , Novotny, Paul J. , Loprinzi, Charles L. , Grothey, Axel, Atherton, Pamela J. , Sloan, Jeff A.

Journal of Clinical Oncology | January 3, 2019 | Volume: 32 | Issue: 15_suppl | Pages: 3622-3622

10.1200/jco.2014.32.15_suppl.3622 Get It

Combining survival and toxicity effect sizes from clinical trials into an interpretable, quality-adjusted survival effect size estimate of treatment efficacy.
Sloan, Jeff A. , Major, Brittny , Novotny, Paul J. , Marks, Randolph S., Grothey, Axel , Sargent, Daniel J. , Dueck, Amylou C.

Journal of Clinical Oncology | January 3, 2019 | Volume: 32 | Issue: 15_suppl | Pages: 6630-6630

10.1200/jco.2014.32.15_suppl.6630 Get It

An Individual Housing-Based Socioeconomic Status Measure Predicts Advance Care Planning and Nursing Home Utilization
Barwise, Amelia , Juhn, Young J. , Novotny, Paul J. , Jaramillo, Carolina, Wilson, Michael E. , Novotny, Paul, Barwise, Amelia K , Wi, Chung‐Il , Gajic, Ognjen

American Journal of Hospice and Palliative Medicine® | November 20, 2018 | Volume: 36 | Issue: 5 | Pages: 362-369

10.1177/1049909118812431 | PMID 30458635 Get It

Background: Socioeconomic status (SES) is an important determinant of disparities in health care and may play a role in end-of-life care and decision-making. The SES is difficult to retrospectively abstract from current electronic medical records and data sets. Objective: Using a validated SES measuring tool derived from home address, the HOUsing-based SocioEconomic Status index, termed HOUSES we wanted to determine whether SES is associated with differences in end-of-life care and decision-making. Design/Setting/Participants: This cross-sectional study utilized a cohort of Olmsted County adult residents admitted to 7 intensive care units (ICUs) at Mayo Rochester between June 1, 2011, and May 31, 2014. Measurements: Multiple variables that reflect decision-making and care at end of life and during critical illness were evaluated, including presence of advance directives and discharge disposition. The SES was measured by individual housing-based SES index (HOUSES index; a composite index derived from real property as a standardized z-score) at the date of admission to the ICU which was then divided into 4 quartiles. The greater HOUSES, the higher SES, outcomes were adjusted for age, 24-hour Acute Physiology and Chronic Health Evaluation III score, sex, race/ethnicity, and insurance. Results: Among the eligible 4134 participants, the addresses of 3393 (82%) were successfully geocoded and formulated into HOUSES. The adjusted odds ratios comparing HOUSES 1 versus 2, 3, and 4 demonstrated lower likelihood of advance directives −0.77(95% CI: 0.63-0.93) and lower likelihood of discharge to home −0.60(95% CI: 1.0.5-0.72). Conclusion: Lower SES, derived from a composite index of housing attributes, was associated with lower rates of advance directives and lower likelihood of discharge to home.