Angela Presson, PhD, MS

Languages

  • English

Academic Information

  • Departments: Family & Preventive Medicine - Adjunct Associate Professor, Internal Medicine - Research Professor, Orthopaedics - Adjunct Associate Professor, Pediatrics - Adjunct Assistant Professor, Population Health Sciences - Adjunct Associate Professor
  • Divisions: Biostatistics, Epidemiology, Pediatric Critical Care, Public Health

Academic Bio

Dr. Angela Presson is a Research Associate Professor in the Division of Epidemiology in the Department of Internal Medicine at the University of Utah. She also holds adjunct appointments in the Department of Pediatrics (Pediatric Critical Care), Department of Orthopaedics and Department of Population Health Sciences (Biostatistics); and an adjunct appointment in the University of California, Los Angeles (UCLA)’s Department of Biostatistics. Prior to starting at the University of Utah, she was a full-time Adjunct Assistant Professor in Biostatistics and Pediatrics at UCLA (2007-2010). She has a PhD from the UCLA Department of Statistics and a BS in Biological Sciences from Cornell University.

Research Statement

My research career began at UCLA in the area of statistical genetics, where both my dissertation research and early career research focused on this topic. More recently, I have collaborated with faculty in Orthopaedics and Surgery, where there is interest in studying patient outcomes both in terms of comparative effectiveness of treatments and patient satisfaction with care. The following research topics are summarized below with selected publications.

Statistical Genetics – Early in my research career I developed MicroMerge software (Presson et al. 2006, 2008) and identified genetic predictors of chronic fatigue syndrome using weighted network analysis WNA (Presson et al. 2008). MicroMerge is freely available software that implements a Bayesian Markov Chain Monte Carlo method to merge microsatellite marker data sets generated on different genotyping platforms (http://www.genetics.ucla.edu/software/micromerge). I have also developed methodology for identifying integration site patterns of gene therapy vectors to evaluate their safety (Presson et al. 2011). At the University of Utah, I have collaborated with clinical scientists to apply WNA methods to the discovery of phenotypes in Acute Respiratory Distress Syndrome (Brown et al. 2017).

  1. Presson AP, Sobel E, Lange K, Papp JC (2006). Merging microsatellite data. J Comput Biol, 13(6), 1131-47.
  2. Presson AP, Sobel EM, Pajukanta P, Plaisier C, Weeks DE, Aberg K, Papp JC (2008). Merging microsatellite data: enhanced methodology and software to combine genotype data for linkage and association analysis. BMC Bioinformatics, 9, 317.
  3. Presson AP, Sobel EM, Papp JC, Suarez CJ, Whistler T, Rajeevan MS, Vernon SD, Horvath S. Integrated weighted gene co-expression network analysis with an application to chronic fatigue syndrome. BMC Syst Biol. 2008 Nov 6;2:95. PMCID: PMC2625353
  4. Presson AP, Kim N, Xiaofei Y, Chen IS, Kim S. Methodology and software to detect viral integration site hot-spots. BMC Bioinformatics. 2011 Sep 14;12:367. doi: 10.1186/1471-2105-12-367. PMCID: PMC3203353
  5. Brown SM, Wilson EL, Presson AP, Dinglas VD, Greene T, Hopkins RO, Needham DM; with the National Institutes of Health NHLBI ARDS Network. Understanding patient outcomes after acute respiratory distress syndrome: identifying subtypes of physical, cognitive and mental health outcomes. Thorax. 2017 Dec; 72(12):1094-1103. PMCID: PMC5690818
  6. Brown SM, Wilson E, Presson AP, Zhang C, Dinglas VD, Greene T, Hopkins RO, Needham DM (2017). Predictors of 6-month health utility outcomes in survivors of acute respiratory distress syndrome. Thorax, 72(4), 311-317.

Comparative Effectiveness & Patient Outcomes Research – To evaluate patient outcomes following surgical techniques in observational research, it is becoming increasingly popular to apply causal inference methods such as propensity scores (Brooke et al. 2017, Scaife et al. 2018, Dy et al. 2018) and marginal structural models (Patel et al. 2017). The gold standard approach for evaluating pre/post study designs is to use segmented regression models when data is available at the patient level (Tonna et al. 2018) or interrupted time-series analysis to aggregated data. For example, see the pre/post study quality checklist from the NIH https://www.nhlbi.nih.gov/health-topics/study-quality-assessment-tools.

  1. Patel DP, Lenherr SM, Stoffel JT, Elliott SP, Welk B, Presson AP, Jha A, Rosenbluth J, Myers JB (2017). Study protocol: patient reported outcomes for bladder management strategies in spinal cord injury. BMC Urol, 17(1), 95.
  2. Myers JB, Lenherr SM, Stoffel JT, Elliott SP, Presson AP, Zhang C, Rosenbluth J, Jha A, Patel DP, Welk B; Neurogenic Bladder Research Group NBRG.org. Patient reported bladder-related symptoms and quality of life after spinal cord injury with different bladder management strategies. J Urol. 2019 Apr 8. PubMed PMID: 30958741.
  3. Brooke BS, Sarfati MR, Zhang Y, Zhang Y, Presson AP, Greene TH, Kraiss LW (2017). Cardiac Stress Testing during Workup for Abdominal Aortic Aneurysm Repair Is Not Associated with Improved Patient Outcomes. Ann Vasc Surg, 42, 222-230.
  4. Scaife CL, Mone MC, Bowen ME, Swords DS, Zhang C, Presson AP, Nelson EW (2018). Perioperative antibiotics should be used for placement of implanted central venous ports: A propensity analysis evaluating risk. Am J Surg, 216(6), 1135-1143.
  5. Dy CJ, Osei DA, Maak TG, Gottschalk MB, Zhang AL, Maloney MD, Presson AP, O'Keefe RJ (2018). Safety of Overlapping Inpatient Orthopaedic Surgery: A Multicenter Study. J Bone Joint Surg Am, 100(22), 1902-1911.
  1. Tonna JE, Kawamoto K, Presson AP, Zhang C, Mone MC, Glasgow RE, Barton RG, Hoidal JR, Anzai Y (2018). Single intervention for a reduction in portable chest radiography (pCXR) in cardiovascular and surgical/trauma ICUs and associated outcomes. J Crit Care, 44, 18-23.

Assessment of Patient Satisfaction –Much of my recent research has been in collaboration with faculty in the Departments of Surgery and Orthopaedics on studies that evaluate patient satisfaction outcomes. Specifically, we have studied the psychometric properties of the Press Ganey® satisfaction survey, which is used to evaluate patient satisfaction at the University of Utah (Presson et al. 2017). We have also published on patient characteristics associated with satisfaction (Abtahi et al. 2015, Martin et al. 2017, Tyser et al. 2018), and evidence of non-response bias on the the Press Ganey® satisfaction survey (Tyser et al. 2016).

  1. Abtahi AM, Presson AP, Zhang C, Saltzman CL, Tyser AR. Association Between Orthopaedic Outpatient Satisfaction and Non-Modifiable Patient Factors. J Bone Joint Surg Am. 2015 Jul 01;97(13):1041-1048. Epub 2015/07/03. PMCID: PMC4574907
  2. Tyser AR, Abtahi AM, McFadden M, Presson AP. Evidence of non-response bias in the Press-Ganey patient satisfaction survey. BMC Health Serv Res. 2016 Aug 04;16(a):350. Epub 2016/08/05. PMCID: PMC4972948
  3. Presson AP, Zhang C, Abtahi AM, Kean J, Hung M, Tyser AR. Psychometric properties of the Press Ganey(R) Outpatient Medical Practice Survey. Health Qual Life Outcomes. 2017 Feb 10;15(1):32. Epub 2017/02/12. PMCID: PMC5301343
  4. Robins RJ, Anderson MB, Zhang Y, Presson AP, Burks RT, Greis PE. Convergent Validity of the Patient-Reported Outcomes Measurement Information System's Physical Function Computerized Adaptive Test for the Knee and Shoulder Injury Sports Medicine Patient Population. Arthroscopy. 2017 Mar;33(3):608-616. Epub 2016/12/15.
  5. Martin L, Presson AP, Zhang C, Ray D, Finlayson S, Glasgow R (2017). Association between surgical patient satisfaction and nonmodifiable factors. J Surg Res, 214, 247-253.
  6. Tyser AR, Gaffney CJ, Zhang C, Presson AP (2018). The Association of Patient Satisfaction with Pain, Anxiety, and Self-Reported Physical Function. J Bone Joint Surg Am, 100(21), 1811-1818.
  7. Chen J, Presson A, Zhang C, Ray D, Finlayson S, Glasgow R (2018). Online physician review websites poorly correlate to a validated metric of patient satisfaction. J Surg Res, 227, 1-6.

Education History

Type School Degree
Doctoral Training University of California, Los Angeles
Statistics
Ph.D.
Graduate Training University of California, Los Angeles
Statistics
M.S.
Undergraduate Cornell University
Biological Sciences - Genetics
B.S.

Selected Publications

Journal Article

  1. Myers JB, Lenherr SM, Stoffel JT, Elliott SP, Presson AP, Zhang C, Rosenbluth J, Jha A, Patel DP, Welk B (2019). Patient reported bladder-related symptoms and quality of life after spinal cord injury with different bladder management strategies. J Urol, 101097JU0000000000000270.
  2. Crescenze IM, Myers JB, Lenherr SM, Elliott SP, Welk B, Mph DO, Qin Y, Presson AP, Stoffel JT (2019). Predictors of low urinary quality of life in spinal cord injury patients on clean intermittent catheterization.LID - 10.1002/nau.23983 [doi]. (Epub ahead of print) Neurourol Urodyn.
  3. White BR, Zhang C, Presson AP, Friddle K, DiGeronimo R (2019). Prevalence and outcomes for assisted home feeding in medically complex neonates. J Pediatr Surg, 54(3), 465-470.
  4. Gonzalez CD, Cipriano SD, Topham CA, Stevenson DA, Whitehead KJ, Vanderhooft S, Presson AP, McDonald J (2019). Localization and age distribution of telangiectases in children and adolescents with hereditary hemorrhagic telangiectasia: A retrospective cohort study.LID - S0190-9622(18)32903-7 [pii]LID - 10.1016/j.jaad.2018.11.014 [doi]. (Epub ahead of print) J Am Acad Dermatol.
  5. Krahenbuhl N, Bailey TL, Weinberg MW, Davidson NP, Hintermann B, Presson AP, Allen CM, Henninger HB, Saltzman CL, Barg A (2019). Is load application necessary when using computed tomography scans to diagnose syndesmotic injuries? A cadaver study.LID - S1268-7731(19)30024-4 [pii]LID - 10.1016/j.fas.2019.02.002 [doi]. (Epub ahead of print) Foot Ankle Surg.
  6. Keihani S, Rogers DM, Putbrese BE, Moses RA, Zhang C, Presson AP, Hotaling JM, Nirula R, Luo-Owen X, Mukherjee K, Morris BJ, Majercik S, Piotrowski J, Dodgion CM, Schwartz I, Elliott SP, DeSoucy ES, Zakaluzny S, Sherwood BG, Erickson BA, Baradaran N, Breyer BN, Smith BP, Okafor BU, Askari R, Miller B, Santucci RA, Carrick MM, Kocik JF, Hewitt T, Burks FN, Heilbrun ME, Myers JB (2019). A Nomogram Predicting the Need for Bleeding Interventions after High-Grade Renal Trauma: Results from the American Association for the Surgery of Trauma (AAST) Genitourinary Trauma Study.LID - 10.1097/TA.0000000000002222 [doi]. (Epub ahead of print) J Trauma Acute Care Surg.
  7. Keenan HT, Presson AP, Clark AE, Cox CS, Ewing-Cobbs L (2019). Longitudinal Developmental Outcomes after Traumatic Brain Injury in Young Children: Are Infants More Vulnerable Than Toddlers? J Neurotrauma, 36(2), 282-292.
  8. Dy CJ, Osei DA, Maak TG, Gottschalk MB, Zhang AL, Maloney MD, Presson AP, OKeefe RJ (2018). Safety of Overlapping Inpatient Orthopaedic Surgery: A Multicenter Study. J Bone Joint Surg Am, 100(22), 1902-1911.
  9. Tyser AR, Gaffney CJ, Zhang C, Presson AP (2018). The Association of Patient Satisfaction with Pain, Anxiety, and Self-Reported Physical Function. J Bone Joint Surg Am, 100(21), 1811-1818.
  10. Chen J, Presson A, Zhang C, Ray D, Finlayson S, Glasgow R (2018). Online physician review websites poorly correlate to a validated metric of patient satisfaction. J Surg Res, 227, 1-6.
  11. Workman JK, Wilkes J, Presson AP, Xu Y, Heflin JA, Smith JT (2018). Variation in Adolescent Idiopathic Scoliosis Surgery: Implications for Improving Healthcare Value. J Pediatr, 195, 213-219.e3.
  12. Chalmers PN, Ross H, Granger E, Presson AP, Zhang C, Tashjian RZ (2018). The Effect of Rotator Cuff Repair on Natural History: A Systematic Review of Intermediate to Long-Term Outcomes. JB JS Open Access, 3(1), e0043.
  13. Keihani S, Xu Y, Presson AP, Hotaling JM, Nirula R, Piotrowski J, Dodgion CM, Black CM, Mukherjee K, Morris BJ, Majercik S, Smith BP, Schwartz I, Elliott SP, DeSoucy ES, Zakaluzny S, Thomsen PB, Erickson BA, Baradaran N, Breyer BN, Miller B, Santucci RA, Carrick MM, Hewitt T, Burks FN, Kocik JF, Askari R, Myers JB (2018). Contemporary management of high-grade renal trauma: Results from the American Association for the Surgery of Trauma Genitourinary Trauma study. J Trauma Acute Care Surg, 84(3), 418-425.
  14. Welk B, Lenherr S, Elliott S, Stoffel J, Presson AP, Zhang C, Myers JB (2018). The Neurogenic Bladder Symptom Score (NBSS): a secondary assessment of its validity, reliability among people with a spinal cord injury. Spinal Cord, 56(3), 259-264.
  15. Blaschke AJ, Korgenski EK, Wilkes J, Presson AP, Thorell EA, Pavia AT, Knackstedt ED, Reynolds C, Schunk JE, Daly JA, Byington CL (2018). Rhinovirus in Febrile Infants and Risk of Bacterial Infection.LID - e20172384 [pii]LID - 10.1542/peds.2017-2384 [doi]. Pediatrics, 141(2).
  16. Addante R, Naliboff B, Shih W, Presson AP, Tillisch K, Mayer EA, Chang L (2018). Predictors of Health-related Quality of Life in Irritable Bowel Syndrome Patients Compared With Healthy Individuals.LID - 10.1097/MCG.0000000000000978 [doi]. (Epub ahead of print) J Clin Gastroenterol.
  17. Park SH, Naliboff BD, Shih W, Presson AP, Videlock EJ, Ju T, Kilpatrick L, Gupta A, Mayer EA, Chang L (2018). Resilience is decreased in irritable bowel syndrome and associated with symptoms and cortisol response.LID - 10.1111/nmo.13155 [doi]. Neurogastroenterol Motil, 30(1).
  18. Brown SM, Wilson EL, Presson AP, Dinglas VD, Greene T, Hopkins RO, Needham DM (2017). Understanding patient outcomes after acute respiratory distress syndrome: identifying subtypes of physical, cognitive and mental health outcomes. Thorax, 72(12), 1094-1103.
  19. Patel DP, Lenherr SM, Stoffel JT, Elliott SP, Welk B, Presson AP, Jha A, Rosenbluth J, Myers JB (2017). Study protocol: patient reported outcomes for bladder management strategies in spinal cord injury. BMC Urology, 17(1), 95.
  20. Schwartzenberger J, Presson A, Lyle A, OFarrell A, Tyser AR (2017). Remote Collection of Patient-Reported Outcomes Following Outpatient Hand Surgery: A Randomized Trial of Telephone, Mail, and E-Mail. J Hand Surg [Am], 42(9), 693-699.
  21. Brooke BS, Sarfati MR, Zhang Y, Zhang Y, Presson AP, Greene TH, Kraiss LW (2017). Cardiac Stress Testing during Workup for Abdominal Aortic Aneurysm Repair Is Not Associated with Improved Patient Outcomes. Ann Vasc Surg, 42, 222-230.
  22. Martin L, Presson AP, Zhang C, Ray D, Finlayson S, Glasgow R (2017). Association between surgical patient satisfaction and nonmodifiable factors. J Surg Res, 214, 247-253.
  23. Brown SM, Wilson E, Presson AP, Zhang C, Dinglas VD, Greene T, Hopkins RO, Needham DM (2017). Predictors of 6-month health utility outcomes in survivors of acute respiratory distress syndrome. Thorax, 72(4), 311-317.
  24. Robins RJ, Anderson MB, Zhang Y, Presson AP, Burks RT, Greis PE (2017). Convergent Validity of the Patient-Reported Outcomes Measurement Information System's Physical Function Computerized Adaptive Test for the Knee and Shoulder Injury Sports Medicine Patient Population. Arthroscopy, 33(3), 608-616.
  25. Presson AP, Zhang C, Abtahi AM, Kean J, Hung M, Tyser AR (2017). Psychometric properties of the Press Ganey(R) Outpatient Medical Practice Survey. Health Qual Life Outcomes, 15(1), 32.
  26. Fenton SJ, Campbell SJ, Stevens AM, Zhang C, Presson AP, Lee JH (2016). Preventable pediatric intensive care unit admissions over a 13-year period at a level 1 pediatric trauma center. J Pediatr Surg, 51(10), 1688-92.
  27. Tyser AR, Abtahi AM, McFadden M, Presson AP (2016). Evidence of non-response bias in the Press-Ganey patient satisfaction survey. BMC Health Serv Res, 16(a), 350.
  28. Park SH, Videlock EJ, Shih W, Presson AP, Mayer EA, Chang L (2016). Adverse childhood experiences are associated with irritable bowel syndrome and gastrointestinal symptom severity. Neurogastroenterol Motil, 28(8), 1252-60.
  29. Kim S, Kim N, Presson AP, Metzger ME, Bonifacino AC, Sehl M, Chow SA, Crooks GM, Dunbar CE, An DS, Donahue RE, Chen ISY (2014). Dynamics of long-term HSPC subtypes in non-human primates revealed by a decade-long clonal-tracking study. Cell Stem Cell, 14(4), 473-85.
  30. Kim S, Kim N, Presson AP, Metzger ME, Bonifacino AC, Sehl M, Chow SA, Crooks GM, Dunbar CE, An DS, Donahue RE, Chen IS (2014). Dynamics of HSPC repopulation in nonhuman primates revealed by a decade-long clonal-tracking study. Cell Stem Cell, 14(4), 473-85.
  31. Arokium H, Kamata M, Kim S, Kim N, Liang M, Presson AP, Chen IS (2014). Deep sequencing reveals low incidence of endogenous LINE-1 retrotransposition in human induced pluripotent stem cells. PLoS ONE, 9(10), e108682.
  32. Su AM, Shih W, Presson AP, Chang L (2014). Characterization of symptoms in irritable bowel syndrome with mixed bowel habit pattern. Neurogastroenterol Motil, 26(1), 36-45.
  33. Presson AP, Partyka G, Jensen KM, Devine OJ, Rasmussen S, McCabe L, McCabe ERB (2013). Current estimate of Down syndrome population prevalence in the United States. J Pediatr, 163(4), 1163-8.
  34. Presson AP, Kim N, Xiaofei Y, Chen IS and Kim S (2011). Methodology and software to detect viral integration site hot-spots. BMC Bioinformatics, 12(367).
  35. Presson AP, Yoon NK, Bagryanova L, Mah V, Alavi M, Maresh EL, Rajasekaran AK, Goodglick L, Chia D, Horvath S (2011). Protein expression based multimarker analysis of breast cancer samples. BMC Cancer, 11, 230.
  36. Maresh EL, Mah V, Alavi M, Presson A, Bagryanova L, Yoon NK, Chang G, Elshimali Y, Shevlin L, Zhang L, Hong L, Schatz S, Li A, Fu Maoyong, Wadehra M, Chia D, Horvath S, Goodglick L (2011). Development and Application of Tissue Microarrays for Biomarker Studies. For Immunopathol Dis Therap, 2(2), 104.
  37. Kim S, Kim N, Presson AP, An DS, Mao SH, Bonifacino AC, Donahue RE, Chow SA, Chen IS (2010). High-throughput, sensitive quantification of repopulating hematopoietic stem cell clones. J Virol, 84(22), 11771-80.
  38. Henderson-Maclennan NK, Papp JC, Talbot CC Jr, McCabe ER, Presson AP (2010). Pathway analysis software: annotation errors and solutions. Mol Genet Metab, 101(2-3), 134-40.
  39. Presson A, Moore TB, Kempert P (2010). Efficacy of high-dose chemotherapy and autologous stem cell transplant for recurrent Wilms' tumor: a meta-analysis. J Pediatr Hematol Oncol, 32(6), 454-61.
  40. Presson AP, Sobel EM, Pajukanta P, Plaisier C, Weeks DE, Aberg K, Papp JC (2008). Merging microsatellite data: enhanced methodology and software to combine genotype data for linkage and association analysis. BMC Bioinformatics, 9, 317.
  41. Presson AP, Sobel E, Lange K, Papp JC (2006). Merging microsatellite data. J Comput Biol, 13(6), 1131-47.

Book Chapter

  1. Fuller T, Langfelder P, Presson A, Horvath H (2011). Review of Weighted Gene Coexpression Network Analysis. In Lu HHS, Scholkopf B, Zhao H (Eds.), Handbook of Statistical Bioinformatics (1st, pp. 369-379). Springer.
  2. Presson A, Sobel E, Papp J, Horvath S (2009). Co-expression Modules and Genes Related to Chronic Fatigue Syndrome Severity. In McConnell P, Lim S, Cuticchia AJ, (Eds.), Methods of Microarray Data Analysis (pp. 141-159). Scotts Valley: CreateSpace Publishing.

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