H

Hania Wehbe–Janek

Texas A&M Health Science Center

Publishes on Patient Safety and Medication Errors, Simulation-Based Education in Healthcare, Innovations in Medical Education. 49 papers and 4.2k citations.

49Publications
4.2kTotal Citations

Is this you? Claim your profile.

Add your photo, update your bio, and get notified when your ranking changes.

Top publicationsby citations

Effects of Influenza Vaccination in the United States During the 2017–2018 Influenza Season
Melissa A. Rolfes, Brendan Flannery, Jessie R. Chung et al.|Clinical Infectious Diseases|2019
Cited by 304Open Access

BACKGROUND: The severity of the 2017-2018 influenza season in the United States was high, with influenza A(H3N2) viruses predominating. Here, we report influenza vaccine effectiveness (VE) and estimate the number of vaccine-prevented influenza-associated illnesses, medical visits, hospitalizations, and deaths for the 2017-2018 influenza season. METHODS: We used national age-specific estimates of 2017-2018 influenza vaccine coverage and disease burden. We estimated VE against medically attended reverse-transcription polymerase chain reaction-confirmed influenza virus infection in the ambulatory setting using a test-negative design. We used a compartmental model to estimate numbers of influenza-associated outcomes prevented by vaccination. RESULTS: The VE against outpatient, medically attended, laboratory-confirmed influenza was 38% (95% confidence interval [CI], 31%-43%), including 22% (95% CI, 12%-31%) against influenza A(H3N2), 62% (95% CI, 50%-71%) against influenza A(H1N1)pdm09, and 50% (95% CI, 41%-57%) against influenza B. We estimated that influenza vaccination prevented 7.1 million (95% CrI, 5.4 million-9.3 million) illnesses, 3.7 million (95% CrI, 2.8 million-4.9 million) medical visits, 109 000 (95% CrI, 39 000-231 000) hospitalizations, and 8000 (95% credible interval [CrI], 1100-21 000) deaths. Vaccination prevented 10% of expected hospitalizations overall and 41% among young children (6 months-4 years). CONCLUSIONS: Despite 38% VE, influenza vaccination reduced a substantial burden of influenza-associated illness, medical visits, hospitalizations, and deaths in the United States during the 2017-2018 season. Our results demonstrate the benefit of current influenza vaccination and the need for improved vaccines.

The MicroRNA let-7a Modulates Interleukin-6-dependent STAT-3 Survival Signaling in Malignant Human Cholangiocytes
Fanyin Meng, Roger Henson, Hania Wehbe–Janek et al.|Journal of Biological Chemistry|2007
Cited by 200Open Access

The inflammation-associated cytokine interleukin-6 (IL-6) can contribute to tumor growth and resistance to therapy by the activation of survival mechanisms. In several human cancers, IL-6-activated survival signaling involves the signal transducers and activators of transcription (Stat) factors or protein kinase cascades. microRNAs (miRNAs) are endogenous regulators of gene expression that are altered in expression in many cancers. However, the effect of inflammatory cytokines on miRNA expression and the role of miRNA in modulating IL-6-mediated cell survival are unknown. We investigated the involvement of miRNA in malignant cholangiocytes stably transfected to overexpress IL-6, which enhances tumor growth in vivo by inhibition of apoptosis. We provide evidence that (i) miRNA expression both in vitro and in vivo is altered by overexpression of IL-6; (ii) selective miRNAs including let-7a are up-regulated and contribute to the survival effects of enforced IL-6 activity; and (iii) let-7a contributes to the constitutively increased phosphorylation of Stat-3 by a mechanism involving the neurofibromatosis 2 (NF2) gene. These findings reveal a novel mechanism by which IL-6 mediates tumor cell survival that may be therapeutically targeted and emphasize the presence of complex interrelationships between deregulated expression of miRNA and transcription factors in human cancers.

Using Simulation to Orient Code Blue Teams to a New Hospital Facility
Frank J. Villamaria, Jose F. Pliego, Hania Wehbe–Janek et al.|Simulation in Healthcare The Journal of the Society for Simulation in Healthcare|2008
Cited by 89

Objectives: Prompt and successful cardiopulmonary resuscitation during a sudden cardiac arrest can be hindered by multiple variables, ie, ineffective communication, stress, lack of training, and an unfamiliar environment, such as a new hospital facility. The main objective of the study was to use high-fidelity simulations to orient Code Blue Teams (CBTs) to critical events in a new hospital facility. A secondary objective was to elucidate factors that may have contributed to responses by debriefing teams. Methods: Mock Code Blue exercises using high-fidelity simulation were implemented in real workplace settings to orient CBTs to critical events. We measured arrival time of first responder, crash cart to code site, first six CBT responders, first chest compression, and first electrical shock. After each mock code, participants were debriefed to assess any barriers to effective response and decision making. Results: Twelve mock codes were conducted at different locations of the new facility. Sixty-nine percent of the participants reported that the training was beneficial. The median time of arrival of the first responders was 42 seconds and the first CBT member was 66 seconds. The median time to initiation of chest compressions was 80 seconds, crash cart arrival was 68 seconds, and first electrical shock was 341 seconds. An additional outcome of the study was the identification of facility and systems issues that had the potential to impact patient safety. Conclusions: Clinical simulation can be effectively used to orient CBTs and identify critical safety issues in a newly constructed healthcare facility.