About

Dr. Yu-Lan Mary Ying joined the Department of Otolaryngology at Rutgers New Jersey Medical School in September 2014, after practicing and serving on the faculty at Louisiana State University Health Sciences Center. She is a graduate of SUNY Stony Brook School of Medicine and completed her Otolaryngology residency at the University of Pittsburgh Medical Center. Dr. Ying further specialized through two fellowships in Otology and Neurotology at Allegheny General Hospital and Baylor College of Medicine. She is board certified in Otolaryngology and Neurotology and is a member of the American Academy of Otolaryngology and the American Neurotology Society. Her clinical interests include hearing loss, otosclerosis, cholesteatoma, skull base tumors, cochlear implants, facial nerve and balance disorders, Meniere's disease, superior semi-circular canal dehiscence, and temporal bone/cerebellopontine angle tumors. Dr. Ying has authored multiple journal articles and book chapters and has presented at national conferences. She is fluent in both English and Chinese Mandarin. Her goal at Rutgers is to further develop the Otology/Neurotology and Skull Base programs, creating a multidisciplinary team to improve the quality of life for individuals with hearing and balance impairments and those diagnosed with skull base tumors.

Research topics

• Medicine
• Surgery
• Dermatology
• Audiology
• Family medicine

Selected publications

• Association of Patient Frailty With Vestibular Schwannoma Resection Outcomes and Machine Learning Development of a Vestibular Schwannoma Risk Stratification Score

  Neurosurgery · 2022 · 21 citations

  • Medicine
  • Internal medicine
  • Surgery

  BACKGROUND: Patient frailty is predictive of higher neurosurgical morbidity and mortality. However, existing frailty measures are hindered by lack of specificity to neurosurgery. OBJECTIVE: To analyze the association between 3 risk stratification scores and outcomes for nationwide vestibular schwannoma (VS) resection admissions and develop a custom VS risk stratification score. METHODS: We identified all VS resection admissions in the National Inpatient Sample (2002-2017). Three risk stratification scores were analyzed: modified Frailty Index-5, modified Frailty Index-11(mFI-11), and Charlson Comorbidity Index (CCI). Survey-weighted multivariate regression evaluated associations between frailty and inpatient outcomes, adjusting for patient demographics, hospital characteristics, and disease severity. Subsequently, we used k -fold cross validation and Akaike Information Criterion-based model selection to create a custom risk stratification score. RESULTS: We analyzed 32 465 VS resection admissions. High frailty, as identified by the mFI-11 (odds ratio [OR] = 1.27, P = .021) and CCI (OR = 1.72, P < .001), predicted higher odds of perioperative complications. All 3 scores were also associated with lower routine discharge rates and elevated length of stay (LOS) and costs (all P < .05). Our custom VS-5 score ( https://skullbaseresearch.shinyapps.io/vs-5_calculator/ ) featured 5 variables (age ≥60 years, hydrocephalus, preoperative cranial nerve palsies, diabetes mellitus, and hypertension) and was predictive of higher mortality (OR = 6.40, P = .001), decreased routine hospital discharge (OR = 0.28, P < .001), and elevated complications (OR = 1.59, P < .001), LOS (+48%, P < .001), and costs (+23%, P = .001). The VS-5 outperformed the modified Frailty Index-5, mFI-11, and CCI in predicting routine discharge (all P < .001), including in a pseudoprospective cohort (2018-2019) of 3885 admissions. CONCLUSION: Patient frailty predicted poorer inpatient outcomes after VS surgery. Our custom VS-5 score outperformed earlier risk stratification scores.

  PublisherDOI

Frequent coauthors

• Soly Baredes

  Rutgers, The State University of New Jersey

  8 shared

• Christine Mau

  Helios Hospital Berlin-Buch

  8 shared

• Jean Anderson Eloy

  Neurological Surgery

  8 shared

• Naveed Kamal

  Neurological Surgery

  6 shared

• Saiaditya Badeti

  Rutgers Health

  6 shared

• James K. Liu

  Rutgers, The State University of New Jersey

  6 shared

• Renuka K. Reddy

  University of California, Davis

  4 shared

• Tapan D. Patel

  4 shared

Education

• M.D.

  State University of New York Stony Brook School of Medicine

  2003

• B.S.

  Massachusetts Institute of Technology

  1998

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