Obi O. Ekwenna

Dr. Obi O. Ekwenna

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 October 2022 in Cancer Medicine
Verified
Journal Article
Open access
JLJacob J. Lang
Jacob J. Lang
ANAparna Narendrula
Aparna Narendrula
SISharanya Iyer
Sharanya Iyer
KZKristine Zanotti
Kristine Zanotti
PSPuneet Sindhwani
Puneet Sindhwani
OEObi O. Ekwenna
Obi O. Ekwenna
Background: The aim of this study is to evaluate the extent and associations with patient‐reported disruptions to cancer treatment and cancer‐related care during the COVID‐19 pandemic utilizing nationally representative data.Methods: This analysis uses data from the 2020 National Health Interview Survey (NHIS), an annual, cross‐sectional survey of US adults. Adults (age >18) who reported requiring current cancer treatment or other cancer‐related medical care in the second half of 2020 were included. Estimated proportions of patients with self‐reported changes, delays, or cancelations to cancer treatment or other cancer care due to the COVID‐19 pandemic were calculated using sampling weights and associations with sociodemographic and other health‐related variables were analyzed.Results: In total, 574 (sample‐weighted estimate of 2,867,326) adults reported requiring cancer treatment and/or other cancer care since the start of the COVID‐19 pandemic. An estimated 32.1% reported any change, delay, or cancelation. On sample‐weighted univariable analysis, patients who were younger, female, had one or fewer comorbidities, and uninsured were significantly more likely to report disruptions. On sample‐weighted, multivariable analysis, patients who were younger and female remained significant predictors. Nearly 90% of patients included in the study reported virtual appointment use. Patients reporting disruptions were also significantly more likely to report feelings of anxiety.Conclusions: An estimated 1/3 of patients experienced disruptions to cancer care due to the COVID‐19 pandemic. Patients experiencing disruptions in care were more likely to be female or younger which may reflect risk stratification strategies in the early stages of the pandemic, and also had higher rates of anxiety. The longitudinal impact of these disruptions on outcomes merits further study.

23 July 2025 in American Journal of Transplantation
Verified
Journal Article
Open access
SBSuphamai Bunnapradist
Suphamai Bunnapradist
NLNicolae Leca
Nicolae Leca
ZZZiad S. Zaky
Ziad S. Zaky
RSRobert J Stratta
Robert J Stratta
HKHasan A. Khamash
Hasan A. Khamash
YQYasir Qazi
Yasir Qazi
Active rejection (AR) remains a major risk factor for graft dysfunction and loss. Donor-derived cell-free DNA (dd-cfDNA) is a dynamic, noninvasive biomarker for AR. We hypothesized that dd-cfDNA monitoring post-rejection may enable physicians to stratify patients into those with more and less favorable prognoses. This prospective multi-center study of kidney transplant recipients (KTR) with biopsy proven AR (BPAR) monitored dd-cfDNA for eight weeks following diagnosis and recorded clinical outcomes at 12 months. Patients were classified using dd-cfDNA trends; trends were then associated with outcomes. Negative outcomes comprised: graft loss, subsequent BPAR, post-biopsy donor specific antibody, and/or lack of resolution of renal dysfunction. Of 488 KTR, 66 with BPAR were analyzed (TCMR: n=37; ABMR: n=24; Mixed: n=5). 76% experienced negative outcomes, 24% positive outcomes. Four distinct dd-cfDNA trends were identified: two with favorable prognosis (n=25), two with unfavorable prognosis (n=41). Among patients with favorable prognosis, the odds of experiencing positive outcomes were 60x higher (p=3.18x10-7), and of experiencing resolving kidney dysfunction at one year were 13x higher (p=2.15x10-5). Among KTR with BPAR, post-rejection dd-cfDNA trends were statistically associated with outcomes, suggesting dd-cfDNA may help physicians manage patients post-BPAR.

30 August 2024 in Vaccines
Verified
Journal Article
Open access
PDF file
SSStanislaw Stepkowski
Stanislaw Stepkowski
DBDulat Bekbolsynov
Dulat Bekbolsynov
JOJared Oenick
Jared Oenick
SBSurina Brar
Surina Brar
BMBeata Mierzejewska
Beata Mierzejewska
OEObi O. Ekwenna
Obi O. Ekwenna
Since their conception with the smallpox vaccine, vaccines used worldwide have mitigated multiple pandemics, including the recent COVID-19 outbreak. Insightful studies have uncovered the complexities of different functional networks of CD4 T cells (T helper 1 (Th1); Th2, Th17) and CD8 T cells (T cytotoxic; Tc), as well as B cell (BIgM, BIgG, BIgA and BIgE) subsets, during the response to vaccination. Both T and B cell subsets form central, peripheral, and tissue-resident subsets during vaccination. It has also become apparent that each vaccination forms a network of T regulatory subsets, namely CD4+ CD25+ Foxp3+ T regulatory (Treg) cells and interleukin-10 (IL-10)-producing CD4+ Foxp3− T regulatory 1 (Tr1), as well as many others, which shape the quality/quantity of vaccine-specific IgM, IgG, and IgA antibody production. These components are especially critical for immunocompromised patients, such as older individuals and allograft recipients, as their vaccination may be ineffective or less effective. This review focuses on considering how the pre- and post-vaccination Treg/Tr1 levels influence the vaccination efficacy. Experimental and clinical work has revealed that Treg/Tr1 involvement evokes different immune mechanisms in diminishing vaccine-induced cellular/humoral responses. Alternative steps may be considered to improve the vaccination response, such as increasing the dose, changing the delivery route, and/or repeated booster doses of vaccines. Vaccination may be combined with anti-CD25 (IL-2Rα chain) or anti-programmed cell death protein 1 (PD-1) monoclonal antibodies (mAb) to decrease the Tregs and boost the T/B cell immune response. All of these data and strategies for immunizations are presented and discussed, aiming to improve the efficacy of vaccination in humans and especially in immunocompromised and older individuals, as well as organ transplant patients.

7 October 2021 in JAMA Network Open
Verified
Journal Article
Open access
PDF file
JLJacob J. Lang
Jacob J. Lang
RIRochell Issa
Rochell Issa
CLConner Lombardi
Conner Lombardi
EGEmilie Garcia
Emilie Garcia
OOOluchi C. Oke
Oluchi C. Oke
OEObi O. Ekwenna
Obi O. Ekwenna
The demographics of practicing physicians in the US have not represented the diverse populations they serve, and there is no exception in oncology care.1,2 Recognizing the detrimental effects of these disparities on public health, oncology training programs have instilled benchmarks and initiatives to increase diversity among oncology physicians nationwide.3 However, data about representation in oncology specialties and the impact of these initiatives is lacking. This study aims to assess underrepresented minority (URM; ie, Black or African American individuals, Hispanic or Latino individuals, and Native American, American Indian, or Alaskan Native individuals) representation trends across training programs in oncology specialties from 2015 to 2020.

20 July 2022 in Transplant International
Verified
Journal Article
Open access
JLJacob J. Lang
Jacob J. Lang
CLConner V. Lombardi
Conner V. Lombardi
IJIyore A. James
Iyore A. James
DRDavid B. Da Rocha-Afodu
David B. Da Rocha-Afodu
COChimezie G. Okwuonu
Chimezie G. Okwuonu
OEObi O. Ekwenna
Obi O. Ekwenna
A Payer’s Perspective: A Comparison and Simulation of the Costs of Hemodialysis Versus Living Donor Kidney Transplant for Patients With End-Stage Renal Disease in Nigeria

1 October 2023 in Transplantation Proceedings
Verified
Journal Article
Closed access
MWMatthew D. Wainstein
Matthew D. Wainstein
BTBenjamin A. Talbot
Benjamin A. Talbot
JLJacob Lang
Jacob Lang
KNKwabena Nkansah-Amankra
Kwabena Nkansah-Amankra
MCMadison Cuffy
Madison Cuffy
OEObi O. Ekwenna
Obi O. Ekwenna