Draft:Neil S. Kamdar

Kamdar completed his undergraduate studies at U-M earning a B.S. in Biochemistry in 2004 and a B.S. in Mathematics from the Mathematical Sciences Program in 2005. He then pursued a Master of Arts in Mathematics Education with an emphasis in Biostatistics graduating in 2012.{{cite web | title=Call for papers | website=Disparities in musculoskeletal care | date=17 January 2025 | url=https://www.biomedcentral.com/collections/dmc | access-date=30 January 2025}}

Kamdar’s career in biostatistics and data analysis spans several key positions. He served as a Senior Application Programmer/Analyst at U-M’s Department of Biostatistics{{cite web | title=Faculty, Staff and Postdoctoral Fellow Directory | website=U-M School of Public Health | url=https://sph.umich.edu/directory/index.php?dept=biostat | access-date=30 January 2025}} contributing to various research funded by the US Centers for Medicare and Medicaid Services, the US Renal Data System, and the Department of Veterans' Affairs. He then worked as a Statistical Programmer at Massachusetts General Hospital/Harvard Medical School in 2015-2017 and as a Research Biostatistician at Stanford University’s School of Medicine, Department of Surgery, from 2017 to 2019. From 2021 to 2022, he briefly served as an Analytic Consultant at the University of New Mexico's Department of Emergency Medicine.{{cite journal | last1=Conner | first1=Benjamin C. | last2=Xu | first2=Tao | last3=Kamdar | first3=Neil S. | last4=Haapala | first4=Heidi | last5=Whitney | first5=Daniel G. | title=Physical and occupational therapy utilization and associated factors among adults with cerebral palsy: Longitudinal modelling to capture distinct utilization groups | journal=Disability and Health Journal | publisher=Elsevier BV | volume=15 | issue=3 | year=2022 | issn=1936-6574 | doi=10.1016/j.dhjo.2022.101279 | doi-access=free | page=101279 | pmid=35264292 | pmc=9308687 | url=http://manuscript.elsevier.com/S1936657422000127/pdf/S1936657422000127.pdf | access-date=30 January 2025}}

At Stanford School of Medicine, Kamdar serves as Assistant Director of Analytics, focusing on analyses of American Family Cohort primary care electronic health record data to understand diagnostic phenotypes for long COVID patients, post-COVID conditions, and is working on understanding sexually transmitted infections and time-to-treatment with antibiotics using various statistical methods. Since 2017, he has been serving as a Statistical Analysis Manager for the Institute for Healthcare Policy and Innovation (IHPI),{{cite web | title=University of Michigan | website=University of Michigan | url=https://experts.umich.edu/5134-neil-kamdar/about | access-date=30 January 2025}} where his work has been focused on leveraging large clinical registries to understand clinical outcomes, cost, and utilization for women, people with disabilities, and surgical populations. He has co-authored extensively with collaborators to understand outcomes after hysterectomies, examining congenital and acquired disabilities and morbidity burden and aging with disability, and surgical outcomes including preoperative and postoperative bundles. He collaborates with Obstetrics and Gynecology, Surgery, Emergency Medicine, and Physical Medicine and Rehabilitation at U-M.{{cite web | title=MCommunity | website=MCommunity | url=https://mcommunity.umich.edu/person/neilseal | access-date=30 January 2025}} Furthermore, he has also emphasized the importance of building collaborative relationships between analytic teams and research faculty to foster intellectual partnerships and support team-based science.

At the University of North Carolina’s Sheps Center for Health Services Research, he mentors and advises on using private payer and Medicaid claims data as well as provides insights into developing research projects, including study design, from their inception to publication.{{cite web | title=Staff | website=Sheps Center | date=1 October 2024 | url=https://www.shepscenter.unc.edu/about-us/staff/ | access-date=30 January 2025}}

Kamdar also occasionally teaches at Eastern Michigan University in both the College of Health Sciences and the Department of Mathematics, focusing primarily on statistics and epidemiology. He has taught population health informatics at the U-M School of Public Health with a focus on understanding data infrastructures and security as well as public health concepts in epidemiology and health economics. He is currently developing a graduate-level course to teach real-world data and longitudinal analysis leveraging secondary administrative data sources at Stanford Medicine.

Despite being a statistician with a background in mathematics, Kamdar’s collaborations research have mainly spanned across a diverse set of clinical fields such as obstetrics/gynecology, general surgery, pediatrics, disabilities research, Alzheimer's disease and related dementia, and opioid analyses.

As a principle collaborator, Kamdar investigated the impact of the April 2014 FDA safety communication on laparoscopic power morcellation during hysterectomy for benign conditions, finding a decline in laparoscopic hysterectomy usage and an increase in major surgical complications.{{cite journal | last1=Harris | first1=John A. | last2=Swenson | first2=Carolyn W. | last3=Uppal | first3=Shitanshu | last4=Kamdar | first4=Neil | last5=Mahnert | first5=Nichole | last6=As-Sanie | first6=Sawsan | last7=Morgan | first7=Daniel M. | title=Practice patterns and postoperative complications before and after US Food and Drug Administration safety communication on power morcellation | journal=American Journal of Obstetrics and Gynecology | publisher=Elsevier BV | volume=214 | issue=1 | year=2016 | issn=0002-9378 | doi=10.1016/j.ajog.2015.08.047 | pages=98.e1–98.e13| pmid=26314519 }} He also estimated the prevalence of surgically confirmed endometriosis in women, identifying that fewer than 25% of those undergoing hysterectomy for chronic pelvic pain had endometriosis at the time of surgery.{{cite journal | last1=Mowers | first1=Erika L. | last2=Lim | first2=Courtney S. | last3=Skinner | first3=Bethany | last4=Mahnert | first4=Nichole | last5=Kamdar | first5=Neil | last6=Morgan | first6=Daniel M. | last7=As-Sanie | first7=Sawsan | title=Prevalence of Endometriosis During Abdominal or Laparoscopic Hysterectomy for Chronic Pelvic Pain | journal=Obstetrics & Gynecology | publisher=Ovid Technologies (Wolters Kluwer Health) | volume=127 | issue=6 | year=2016 | issn=0029-7844 | doi=10.1097/aog.0000000000001422 | pages=1045–1053| pmid=27159755 }} His exploration of the shift in surgical approaches for hysterectomy among women with commercially based insurance in the United States from 2010 to 2013 found an increase in outpatient procedures.{{cite journal | last1=Morgan | first1=Daniel M. | last2=Kamdar | first2=Neil S. | last3=Swenson | first3=Carolyn W. | last4=Kobernik | first4=Emily K. | last5=Sammarco | first5=Anne G. | last6=Nallamothu | first6=Brahmajee | title=Nationwide trends in the utilization of and payments for hysterectomy in the United States among commercially insured women | journal=American Journal of Obstetrics and Gynecology | publisher=Elsevier BV | volume=218 | issue=4 | year=2018 | issn=0002-9378 | doi=10.1016/j.ajog.2017.12.218 | doi-access=free | pages=425.e1–425.e18 | pmid=29288067 | pmc=5931386 | url=http://manuscript.elsevier.com/S0002937817327175/pdf/S0002937817327175.pdf | access-date=30 January 2025}} Furthermore, in evaluating anastomotic leaks in colorectal operations, he highlighted that factors such as male sex, obesity, tobacco use, and urgent operations significantly increase the risk.{{cite journal | last1=Nikolian | first1=Vahagn C. | last2=Kamdar | first2=Neil S. | last3=Regenbogen | first3=Scott E. | last4=Morris | first4=Arden M. | last5=Byrn | first5=John C. | last6=Suwanabol | first6=Pasithorn A. | last7=Campbell | first7=Darrell A. | last8=Hendren | first8=Samantha | title=Anastomotic leak after colorectal resection: A population-based study of risk factors and hospital variation | journal=Surgery | publisher=Elsevier BV | volume=161 | issue=6 | year=2017 | issn=0039-6060 | doi=10.1016/j.surg.2016.12.033 | doi-access=free | pages=1619–1627 | pmid=28238345 | pmc=5433895 }}

In a systematic review, Kamdar and colleagues found that predictive models using electronic medical record (EMR) data generally outperform those using administrative data for 30-day hospital readmissions, though the improvement is modest.{{cite journal | last1=Mahmoudi | first1=Elham | last2=Kamdar | first2=Neil | last3=Kim | first3=Noa | last4=Gonzales | first4=Gabriella | last5=Singh | first5=Karandeep | last6=Waljee | first6=Akbar K | title=Use of electronic medical records in development and validation of risk prediction models of hospital readmission: systematic review | journal=BMJ | date=8 April 2020 | volume=369 | issn=1756-1833 | doi=10.1136/bmj.m958 | doi-access=free | page=m958 | pmid=32269037 | pmc=7249246 | url=https://www.bmj.com/content/bmj/369/bmj.m958.full.pdf | access-date=30 January 2025}} Additionally, a study with colleagues on appendicitis revealed that it was potentially missed in 6.0% of adults and 4.4% of children during initial emergency department visits, with higher risks associated with women, patients with comorbidities, and those presenting with abdominal pain and constipation.{{cite journal | last1=Mahajan | first1=Prashant | last2=Basu | first2=Tanima | last3=Pai | first3=Chih-Wen | last4=Singh | first4=Hardeep | last5=Petersen | first5=Nancy | last6=Bellolio | first6=M. Fernanda | last7=Gadepalli | first7=Samir K. | last8=Kamdar | first8=Neil S. | title=Factors Associated With Potentially Missed Diagnosis of Appendicitis in the Emergency Department | journal=JAMA Network Open | publisher=American Medical Association (AMA) | volume=3 | issue=3 | date=9 March 2020 | issn=2574-3805 | doi=10.1001/jamanetworkopen.2020.0612 | doi-access=free | page=e200612 | pmid=32150270 | pmc=7063499 | url=https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2762391/mahajan_2020_oi_200042.pdf | access-date=30 January 2025}}

Kamdar’s collaborative manuscript exhibited how hearing aid use among older adults with hearing loss is linked to a delayed diagnosis of Alzheimer's disease, dementia, depression, anxiety, and injurious falls, suggesting a potential protective effect of hearing aids.{{cite journal | last1=Mahmoudi | first1=Elham | last2=Basu | first2=Tanima | last3=Langa | first3=Kenneth | last4=McKee | first4=Michael M. | last5=Zazove | first5=Philip | last6=Alexander | first6=Neil | last7=Kamdar | first7=Neil | title=Can Hearing Aids Delay Time to Diagnosis of Dementia, Depression, or Falls in Older Adults? | journal=Journal of the American Geriatrics Society | volume=67 | issue=11 | date=2019 | issn=0002-8614 | doi=10.1111/jgs.16109 | doi-access=free | pages=2362–2369 | pmid=31486068 | hdl=2027.42/153191 | url=http://deepblue.lib.umich.edu/bitstream/2027.42/153191/2/jgs16109_am.pdf | access-date=30 January 2025}} He further expanded his some of this work by applying methods demonstrating the need for enhanced cognitive screening and early interventions, showing how adults with traumatic spinal cord injury (TSCI) face a significantly higher risk of developing Alzheimer’s disease and related dementia compared to those without TSCI.{{cite journal | last1=Mahmoudi | first1=Elham | last2=Lin | first2=Paul | last3=Peterson | first3=Mark D. | last4=Meade | first4=Michelle A. | last5=Tate | first5=Denise G. | last6=Kamdar | first6=Neil | title=Traumatic Spinal Cord Injury and Risk of Early and Late Onset Alzheimer's Disease and Related Dementia: Large Longitudinal Study | journal=Archives of Physical Medicine and Rehabilitation | publisher=Elsevier BV | volume=102 | issue=6 | year=2021 | issn=0003-9993 | doi=10.1016/j.apmr.2020.12.019 | doi-access=free | pages=1147–1154 | pmid=33508336 | pmc=10536758 }}

In a cohort study underscoring the complexity of pain management in this population, Kamdar’s collaboration with physical medicine and rehabilitation clinical experts found that 89% of adults with cerebral palsy experience pain, with 73.8% having multiple pain diagnoses.{{cite journal | last1=Peterson | first1=Mark D. | last2=Ashbaugh | first2=Kathryn | last3=O’Leary | first3=Michael | last4=Schmidt | first4=Mary | last5=Haapala | first5=Heidi | last6=Kamdar | first6=Neil | last7=Hurvitz | first7=Edward A. | title=Pain Phenotypes and Pain Multimorbidity Among Medicare Beneficiaries With Cerebral Palsy | journal=JAMA Neurology | publisher=American Medical Association (AMA) | volume=81 | issue=9 | date=1 September 2024 | pages=1004–1005 | issn=2168-6149 | doi=10.1001/jamaneurol.2024.2443 | doi-access=free | pmid=39102256 | pmc=11385049 | url=https://jamanetwork.com/journals/jamaneurology/articlepdf/2822069/jamaneurology_peterson_2024_ld_240004_1722495838.69714.pdf | access-date=30 January 2025}} He, in collaboration with the American Board of Family Medicine, revealed a moderate burden of post-COVID conditions in primary care settings where the prevalence of these conditions was lower than that reported in subspecialty and hospital settings.{{cite journal | last1=Velásquez | first1=Esther E. | last2=Kamdar | first2=Neil S. | last3=Rehkopf | first3=David H. | last4=Saydah | first4=Sharon | last5=Bull-Otterson | first5=Lara | last6=Hao | first6=Shiying | last7=Vala | first7=Ayin | last8=Chu | first8=Isabella | last9=Bazemore | first9=Andrew W. | last10=Phillips | first10=Robert L. | last11=Boehmer | first11=Tegan | title=Post-COVID Conditions in US Primary Care: A PRIME Registry Comparison of Patients With COVID-19, Influenza-Like Illness, and Wellness Visits | journal=The Annals of Family Medicine | publisher=Annals of Family Medicine | volume=22 | issue=4 | year=2024 | issn=1544-1709 | doi=10.1370/afm.3131 | doi-access=free | pages=279–287| pmid=39038980 | pmc=11268691 }} His study on preoperative assessment demonstrated that patients with Alzheimer’s disease and related dementias (ADRD) had significantly higher 30-day readmission rates and overall costs after hospitalization compared to those without ADRD.{{cite journal | last1=Kamdar | first1=Neil | last2=Syrjamaki | first2=John | last3=Aikens | first3=James E. | last4=Mahmoudi | first4=Elham | title=Readmission Rates and Episode Costs for Alzheimer Disease and Related Dementias Across Hospitals in a Statewide Collaborative | journal=JAMA Network Open | publisher=American Medical Association (AMA) | volume=6 | issue=3 | date=16 March 2023 | issn=2574-3805 | doi=10.1001/jamanetworkopen.2023.2109 | doi-access=free | page=e232109 | pmid=36929401 | pmc=10020873 | url=https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2802525/kamdar_2023_oi_230096_1678296504.93933.pdf | access-date=30 January 2025}} He also helped lead a study that identified opportunities to improve diagnostic accuracy for appendicitis, particularly in higher-risk groups such as patients with abdominal pain and constipation, those with comorbidities, and women, where missed diagnoses were more common.

• Harris, J. A., Swenson, C. W., Uppal, S., Kamdar, N., Mahnert, N., As-Sanie, S., & Morgan, D. M. (2016). Practice patterns and postoperative complications before and after US Food and Drug Administration safety communication on power morcellation. American journal of obstetrics and gynecology, 214(1), 98-e1.
• Mowers, E. L., Lim, C. S., Skinner, B., Mahnert, N., Kamdar, N., Morgan, D. M., & As-Sanie, S. (2016). Prevalence of endometriosis during abdominal or laparoscopic hysterectomy for chronic pelvic pain. Obstetrics & Gynecology, 127(6), 1045-1053.
• Nikolian, V. C., Kamdar, N. S., Regenbogen, S. E., Morris, A. M., Byrn, J. C., Suwanabol, P. A., ... & Hendren, S. (2017). Anastomotic leak after colorectal resection: a population-based study of risk factors and hospital variation. Surgery, 161(6), 1619-1627.
• Morgan, D. M., Kamdar, N. S., Swenson, C. W., Kobernik, E. K., Sammarco, A. G., & Nallamothu, B. (2018). Nationwide trends in the utilization of and payments for hysterectomy in the United States among commercially insured women. American journal of obstetrics and gynecology, 218(4), 425-e1.
• Mahmoudi, E., Kamdar, N., Kim, N., Gonzales, G., Singh, K., & Waljee, A. K. (2020). Use of electronic medical records in development and validation of risk prediction models of hospital readmission. BMJ: British Medical Journal, 369, 1-10.

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