Browsing by Author "Patel, Jaimin"

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    Burden of Persistent Vomiting With Cannabis Use Disorder: Report From 55,549 Hospitalizations in the United States
    (Elsevier, 2019) Patel, Rikinkumar S.; Patel, Jaimin; Jaladi, Paul Rahul; Bhimanadham, Narmada N.; Imran, Sundus; Tankersley, William E.; Medicine, School of Medicine
    Background With increase in incidence rate of persistent vomiting (PV) in the post-legalization period it is important to understand adverse effects of cannabis use and its relationship with PV. Objective We investigated the relationship between cannabis use disorder (CUD) and PV-related hospitalization. Methods A Nationwide Inpatient Sample was analyzed from 2010 to 2014 for patients (aged 15–54 y) with a primary diagnosis of PV (N = 55,549), and a comparison was made between patients with the International Classification of Diseases, Ninth Edition classification of CUD versus non-CUD cohorts. We used logistic regression to study the odds ratio between CUD and PV. Results The number of PV-related hospitalizations with CUD had a significantly increased trend (P < 0.001), with a 286% increase over 5 years. A higher proportion of these patients with CUD were younger (15–24 y), female, and African American/Hispanic. In regression analysis, cannabis was associated with a seven-fold higher odds (95% confidence interval: 6.931–7.260) of PV-related hospitalization. Conclusions This study found that CUD was independently associated with a 609% increased likelihood of PV-related hospitalization, and this association persisted even after adjusting for known risk factors and other substances.
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    Inhibition of tropomyosine receptor kinase B on the migration of human Schwann cell and dispersion of oral tongue squamous cell carcinoma in vitro
    (Wiley, 2019-12) Ein, Liliana; Bracho, Olena; Mei, Christine; Patel, Jaimin; Boyle, Thomas; Monje, Paula; Fernandez‐Valle, Cristina; Bas, Esperanza; Thomas, Giovana; Weed, Donald; Sargi, Zoukaa; Dinh, Christine; Neurological Surgery, School of Medicine
    Background Schwann cells (SC) may play an important role in perineural invasion (PNI) by promoting cancer cell dispersion. Brain‐derived neurotrophic factor (BDNF) may contribute to these cellular events by activating tropomyosine receptor kinase B (TrkB). This study examines the effect of TrkB inhibition on SC migration and oral cancer cell dispersion in vitro. Methods Human tongue squamous cell carcinoma (SCC‐9) and human SCs were cocultured in three different conditioned mediums: control, BDNF, and TrkB inhibitor. Cell migration, cancer cell dispersion, and SC dedifferentiation were measured on time‐lapse and immunofluorescence images. Results Cancer cell migration exceeded SC migration in all conditions. TrkB inhibition promoted SC dedifferentiation and significantly increased SC migration, when compared to BDNF conditions. TrkB inhibition also reduced cancer cell dispersion, when compared to control and BDNF‐treated cultures. Conclusion SCs may have importance in the pathophysiology of PNI. TrkB inhibition may be a potential avenue for therapeutic intervention.
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    Is ChatGPT 3.5 smarter than Otolaryngology trainees? A comparison study of board style exam questions
    (Public Library of Science, 2024-09-26) Patel, Jaimin; Robinson, Peyton; Illing, Elisa; Anthony, Benjamin; Otolaryngology -- Head and Neck Surgery, School of Medicine
    Objectives: This study compares the performance of the artificial intelligence (AI) platform Chat Generative Pre-Trained Transformer (ChatGPT) to Otolaryngology trainees on board-style exam questions. Methods: We administered a set of 30 Otolaryngology board-style questions to medical students (MS) and Otolaryngology residents (OR). 31 MSs and 17 ORs completed the questionnaire. The same test was administered to ChatGPT version 3.5, five times. Comparisons of performance were achieved using a one-way ANOVA with Tukey Post Hoc test, along with a regression analysis to explore the relationship between education level and performance. Results: The average scores increased each year from MS1 to PGY5. A one-way ANOVA revealed that ChatGPT outperformed trainee years MS1, MS2, and MS3 (p = <0.001, 0.003, and 0.019, respectively). PGY4 and PGY5 otolaryngology residents outperformed ChatGPT (p = 0.033 and 0.002, respectively). For years MS4, PGY1, PGY2, and PGY3 there was no statistical difference between trainee scores and ChatGPT (p = .104, .996, and 1.000, respectively). Conclusion: ChatGPT can outperform lower-level medical trainees on Otolaryngology board-style exam but still lacks the ability to outperform higher-level trainees. These questions primarily test rote memorization of medical facts; in contrast, the art of practicing medicine is predicated on the synthesis of complex presentations of disease and multilayered application of knowledge of the healing process. Given that upper-level trainees outperform ChatGPT, it is unlikely that ChatGPT, in its current form will provide significant clinical utility over an Otolaryngologist.