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Dao, Dyda

https://orcid.org/0000-0002-8261-5361

Mayo Clinic

Mayo Clinic

Citations 6

Disaggregating Pacific Islanders and major Asian subpopulations to reveal hidden breast cancer disparities.
Taparra, Kekoa , Patel, Rohan, Santos, Patricia Mae G. , Dee, Edward Christopher , Dao, Dyda , Chino, Fumiko

Journal of Clinical Oncology | September 21, 2021 | Volume: 39 | Issue: 28_suppl | Pages: 80-80

10.1200/jco.2020.39.28_suppl.80 Get It

80 Background: The Asian American, Native Hawaiian, and Other Pacific Islander (AA/NHPI) population is the fastest growing and most socioeconomically heterogeneous racial/ethnic group in the US. AA/NHPI breast cancer outcomes are often reported as superior to Non-Hispanic Whites (NHW) however evidence suggests aggregating AA/NHPI masks disparities among subpopulations. As NHPI is often ignored as one of five official US races, this study aims to disaggregate AA and NHPI to unmask breast cancer disparities. Methods: An IRB exempt, retrospective cohort study using the National Cancer Database was conducted for women diagnosed with breast cancer in 2004-2016. AA and NHPI patients were compared with the majority NHW group. AA was separated into pertinent geographical origins: East Asian (EA; Chinese, Japanese, Korean), South Asian (SA; Indian, Pakistani), and Southeast Asian (SEA; Filipino, Vietnamese, Laotian, Hmong, Cambodian). Descriptive statistics were used. Logistic and Cox proportional hazard regressions assessed adjusted Odds Ratios (aORs) and adjusted Hazards Ratios (aHR), respectively, with 95% confidence intervals (95%CI). Analyses were adjusted for patient factors (age, insurance, income, rural/urban, education, hospital region, hospital distance, Deyo comorbidity score) and cancer characteristics (grade, stage, metastases, diagnosis year, hormone status). Results: Of 2,073,822 women there were 28,311 EA, 13,259 SA, 21,645 SEA, 5,375 NHPI, and 2,005,232 NHW. The median age was 62 years with median 66 month follow-up. Compared to NHW (9.6%), presentation with late-stage disease (Stage III/IV) was higher in NHPI (12%), SA (12%), and SEA (11%), but not EA (7.5%). On adjusted analysis (Table), EA was the only group with a statistical difference from NHW with aOR=0.85 (95%CI=0.76-0.94). Kaplan-Meier test for overall survival (OS) showed differences between ethnic/racial groups with NHPI having worse OS than AA subpopulations (p<0.0001). On adjusted analysis (Table), all AA subpopulations had lower risk of death compared to NHW: EA (aHR=0.69; 95%CI=0.64-0.74), SA (aHR=0.65; 95CI=0.59-0.71), and SEA (aHR=0.78; 95%CI=0.73-0.84) however the NHPI group had a greater risk of death (aHR=1.14; 95%CI=1.02-1.28). Conclusions: NHPI women with breast cancer have worse outcomes compared to NHW. This is masked by superior AA outcomes when aggregated. The continual improper aggregation of AA with NHPI downplays NHPI cancer disparities. Proper disaggregation of NHPI from AA warrants greater attention.[Table: see text]
Etiologies and Clinical Outcomes of Patients With Secondary Hemophagocytic Lymphohistiocytosis at a Tertiary PICU
Dao, Dyda , Xoay, Tran Dang , Galeano, Belinda K. , Phúc, Phan Hữu , Ouellette, Yves

Pediatric Critical Care Medicine | May 31, 2019 | Volume: 20 | Issue: 7 | Pages: e311-e318

10.1097/pcc.0000000000001980 Get It

Objectives: To assess the etiologies and outcomes of patients with secondary hemophagocytic lymphohistiocytosis in the PICU. Design: Prospective observational cohort study. Setting: A single PICU at a pediatric tertiary hospital in Hanoi, Vietnam. Patients: Pediatric patients meeting the criteria for secondary hemophagocytic lymphohistiocytosis. Interventions: None. Measurements and Main Results: Between June 2017 and May 2018, 25 consecutive patients with a mean (sd) age of 23.3 months (21.6 mo) were included. Collected variables included etiologies of hemophagocytic lymphohistiocytosis and clinical and laboratory findings at admission. The Pediatric Index of Mortality 2 score at admission was calculated. Outcomes were death and multiple organ dysfunction. The severity of multiple organ dysfunction was assessed by the Pediatric Logistic Organ Dysfunction 2 score. The mean (sd) Pediatric Index of Mortality 2 predicted mortality rate was 5.6% (7.6%). Cytomegalovirus and Epstein-Barr virus coinfections (60%) were the most common suspected etiology of hemophagocytic lymphohistiocytosis. Other etiologies included Epstein-Barr virus sole infections (20%), cytomegalovirus sole infections (16%), and one unknown cause (4%). Multiple organ dysfunction (excluding hematologic failure) was found in 22 patients (88%) with death occurring in 14 patients (56%). The mean (sd) Pediatric Logistic Organ Dysfunction 2 predicted mortality rate among patients with multiple organ dysfunction was 11.9% (11.2%). Despite having lower Pediatric Index of Mortality 2 predicted mortality rates at admission, Epstein-Barr virus-cytomegalovirus coinfection cases with multiple organ dysfunction had slightly greater Pediatric Logistic Organ Dysfunction 2 predicted mortality rates than Epstein-Barr virus sole infection cases with multiple organ dysfunction: 12.2% (10.5%) versus 11.3% (11.0%). However, these rates were lower than cytomegalovirus sole infection cases with multiple organ dysfunction (14.4% [16.3%]). Area under the curve values for Pediatric Index of Mortality 2 and Pediatric Logistic Organ Dysfunction 2 were 0.74 (95% CI, 0.52–0.95) and 0.78 (95% CI, 0.52–1.00), respectively, suggesting that both scales were fair to good at predicting mortality. Conclusions: Viral infections, particularly Epstein-Barr virus-cytomegalovirus coinfections, were a common cause of secondary hemophagocytic lymphohistiocytosis. The implication of these coinfections on the clinical course of hemophagocytic lymphohistiocytosis needs to be delineated.
Older-Patient-Specific Cancer Trials: A Pooled Analysis of 2,277 Patients (A151715)
Dao, Dyda , Jatoi, Aminah , Hurria, Arti , Muss, Hyman B. , Cohen, Harvey Jay, Citron, Marc L., Budman, Daniel R., Sedrak, Mina S. , Lafky, Jacqueline M., McMurray, Ryan, Le-Rademacher, Jennifer G , Zemla, Tyler , Freedman, Rachel A. , Shulman, Lawrence N. , McMurray, Ryan P. , Partridge, Ann H. , Carey, Lisa A. , Sedrak, Mina S. , Le‐Rademacher, Jennifer

The Oncologist | April 11, 2019 | Volume: 24 | Issue: 6 | Pages: e284-e291

10.1634/theoncologist.2018-0803 Get It

Abstract Background Less than 3% of older patients with cancer are enrolled in clinical trials. To reverse this underrepresentation, we compared older patients enrolled with older-patient-specific trials, defined as those designed for older patients with cancer, with those enrolled in age-unspecified trials. Materials and Methods We focused on individual patient data from those ≥65 years (younger patients excluded) and included all Alliance phase III adjuvant breast cancer trials from 1985–2012. Results Among 2,277 patients, 1,014 had been enrolled to older-patient-specific and 1,263 to age-unspecified trials. The median age (range) in the older-patient-specific trials was 72 (65–89) years compared with 68 (65–84) years in the cohort of older patients in age-unspecified trials; p &lt; .0001. A greater percentage of patients 75 years or older had enrolled in older-patient-specific trials compared with the cohort of age-unspecified trials: 26% versus 6% (p &lt; .0001). Median overall survival (OS) was 12.8 years (95% confidence interval [CI], 11.9–13.7) and 13.5 years (95% CI, 12.9–14.1) for older-patient-specific and age-unspecified trials, respectively. OS was comparable (hazard ratio [HR], 1.08; 95% CI, 0.92–1.28; p = .34; referent: age-unspecified trials), after adjusting for age, estrogen receptor status, tumor size, and lymph node status. Similar findings were reached for recurrence-free survival. A lower rate of grade 3–5 adverse events (hematologic and nonhematologic) was reported in older-patient-specific trials (43% vs. 58%; p &lt; .0001). Sensitivity analysis with chemotherapy only trials and subset analysis, adjusted for performance score, yielded similar OS results. Conclusion Older-patient-specific trials appear to address this underrepresentation of older patients with ostensibly comparable outcomes. Clinical trial identification numbers. NCT00003088 (CALGB 9741); NCT00024102 (CALGB 49907); NCT00068601 (CALGB 40401); NCT00005970 (NCCTG N9831)
Is there a role for older-patient-specific cancer clinical trials? A pooled analysis of 2277 older patients in adjuvant breast cancer trials (Alliance A151715).
Jatoi, Aminah , Hurria, Arti , Muss, Hyman B. , Cohen, Harvey Jay, Citron, Marc L., Budman, Daniel R., Partridge, Ann, Lafky, Jacqueline M., Dao, Dyda , Zemla, Tyler , Freedman, Rachel A. , Shulman, Lawrence N. , McMurray, Ryan P. , Carey, Lisa A. , Le‐Rademacher, Jennifer

Journal of Clinical Oncology | September 5, 2018 | Volume: 36 | Issue: 15_suppl | Pages: 10034-10034

10.1200/jco.2018.36.15_suppl.10034 Get It

Abstract P-515: SEIZURE-ASSOCIATED ENCEPHALOPATHY: ANALYSIS OF A VIETNAMESE PEDIATRIC INTENSIVE CARE UNIT POPULATION
Galeano, Belinda K. , Tho, Bryan, Ouellette, Yves , Dao, Dyda , Phúc, Phan Hữu

Pediatric Critical Care Medicine | May 31, 2018 | Volume: 19 | Issue: 6S | Pages: 207-208

10.1097/01.pcc.0000537972.25809.66 Get It

Abstract P-282: SECONDARY HEMOPHAGOCYTIC LYMPHOHISTIOCYTOSIS PATIENTS PRESENTING WITH MULTIPLE ORGAN DYSFUNCTION IN A VIETNAMESE PEDIATRIC INTENSIVE CARE UNIT
Galeano, Belinda K. , Ouellette, Yves , Dao, Dyda , Xoay, Tran Dang , Phúc, Phan Hữu

Pediatric Critical Care Medicine | May 31, 2018 | Volume: 19 | Issue: 6S | Pages: 132-133

10.1097/01.pcc.0000537739.27555.5b Get It