دورية أكاديمية
Method used to identify adenomyosis and potentially undiagnosed adenomyosis in a large, U.S. electronic health record database.
العنوان: | Method used to identify adenomyosis and potentially undiagnosed adenomyosis in a large, U.S. electronic health record database. |
---|---|
المؤلفون: | Loughlin AM; Optum Epidemiology, Boston, Massachusetts, USA.; CorEvitas LLC, Waltham, Massachusetts, USA., Chiuve SE; AbbVie, Inc, North Chicago, Illinois, USA., Reznor G; Optum Epidemiology, Boston, Massachusetts, USA., Doherty M; Optum Epidemiology, Boston, Massachusetts, USA., Missmer SA; Department of Obstetrics, Gynecology, and Reproductive Biology, Michigan State University, Grand Rapids, Michigan, USA.; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA., Chomistek AK; Optum Epidemiology, Boston, Massachusetts, USA., Enger C; Optum Epidemiology, Boston, Massachusetts, USA. |
المصدر: | Pharmacoepidemiology and drug safety [Pharmacoepidemiol Drug Saf] 2021 Dec; Vol. 30 (12), pp. 1675-1686. Date of Electronic Publication: 2021 Jul 29. |
نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
اللغة: | English |
بيانات الدورية: | Publisher: Wiley Country of Publication: England NLM ID: 9208369 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1099-1557 (Electronic) Linking ISSN: 10538569 NLM ISO Abbreviation: Pharmacoepidemiol Drug Saf Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: Chichester, West Sussex : Wiley, 1992- |
مواضيع طبية MeSH: | Adenomyosis*/diagnosis , Adenomyosis*/epidemiology, Cohort Studies ; Electronic Health Records ; Female ; Humans ; Hysterectomy ; Prevalence |
مستخلص: | Background: The prevalence of adenomyosis is underestimated due to lack of a specific diagnostic code and diagnostic delays given most diagnoses occur at hysterectomy. Objectives: To identify women with adenomyosis using indicators derived from natural language processing (NLP) of clinical notes in the Optum Electronic Health Record database (2014-2018), and to estimate the prevalence of potentially undiagnosed adenomyosis. Methods: An NLP algorithm identified mentions of adenomyosis in clinical notes that were highly likely to represent a diagnosis. The anchor date was date of first affirmed adenomyosis mention; baseline characteristics were assessed in the 12 months prior to this date. Characteristics common to adenomyosis cases were used to select a suitable pool of women from the underlying population, among whom undiagnosed adenomyosis might exist. A random sample of this pool was selected to form the comparator cohort. Logistic regression was used to compare adenomyosis cases to comparators; the predictive probability (PP) of being an adenomyosis case was assessed. Comparators having a PP ≥ 0.1 were considered potentially undiagnosed adenomyosis and were used to calculate the prevalence of potentially undiagnosed adenomyosis in the underlying population. Results: Among 11 456 347 women aged 18-55 years in the underlying population, 19 503 were adenomyosis cases. Among 332 583 comparators, 22 696 women were potentially undiagnosed adenomyosis cases. The prevalence of adenomyosis and potentially undiagnosed adenomyosis was 1.70 and 19.1 per 1000 women aged 18-55 years, respectively. Conclusions: Considering potentially undiagnosed adenomyosis, the prevalence of adenomyosis may be 10x higher than prior estimates based on histologically confirmed adenomyosis cases only. (© 2021 John Wiley & Sons Ltd.) |
References: | Agostinho L, Cruz R, Osório F, Alves J, Setúbal A, Guerra A. MRI for adenomyosis: a pictorial review. Insights Imaging. 2017;8:549-556. Struble J, Reid S, Bedaiwy MA. Adenomyosis: a clinical review of a challenging gynecologic condition. J Minim Invasive Gynecol. 2016;23:164-185. Weiss G, Maseelall P, Schott LL, Brockwell SE, Schocken M, Johnston JM. Adenomyosis a variant, not a disease? Evidence from hysterectomized menopausal women in the study of Women's health across the nation (SWAN). Fertil Steril. 2009;91:201-206. Wright JD, Herzog TJ, Tsui J, et al. Nationwide trends in the performance of inpatient hysterectomy in the United States. Obstet Gynecol. 2013;122:233-241. Taran FA, Stewart EA, Brucker S. Adenomyosis: epidemiology, risk factors, clinical phenotype and surgical and interventional alternatives to hysterectomy. Geburtshilfe Frauenheilkd. 2013;73:924-931. Vercellini P, Parazzini F, Oldani S, Panazza S, Bramante T, Crosignani PG. Adenomyosis at hysterectomy: a study on frequency distribution and patient characteristics. Human Reproduct (Oxf, Engl). 1995;10:1160-1162. Morassutto C, Monasta L, Ricci G, Barbone F, Ronfani L. Incidence and estimated prevalence of endometriosis and Adenomyosis in Northeast Italy: a data linkage study. PloS One. 2016;11:e0154227. Champaneria R, Abedin P, Daniels J, Balogun M, Khan KS. Ultrasound scan and magnetic resonance imaging for the diagnosis of adenomyosis: systematic review comparing test accuracy. Acta Obstet Gynecol Scand. 2010;89:1374-1384. Levy G, Dehaene A, Laurent N, et al. An update on adenomyosis. Diagn Interv Imaging. 2013;94:3-25. Reinhold C, Tafazoli F, Mehio A, et al. Uterine adenomyosis: endovaginal US and MR imaging features with histopathologic correlation. Radiographics 1999;19:S147-60. Loughlin AM, Lin N, Abler V, Carroll B. Tardive dyskinesia among patients using antipsychotic medications in customary clinical care in the United States. PloS One. 2019;14:e0216044. Loughlin AM, Qiao Q, Nunes AP, et al. Effectiveness and tolerability of therapy with once-weekly Exenatide versus basal insulin among injectable-naive patients with type 2 diabetes in a real-world setting in the United States. Diabetes Spect. 2018;31:129-137. Bertoia ML, Spalding WM, Yee KS, Kando JC, Bulik CM, Seeger JS. Treatment characteristics of patient with binge-eating disorder. International Conference on Pharmacoepidemiology and Therapeutic Risk Management. Prague, Czech Republic; 2018. Nunes AP, Iglay K, Radican L, et al. Hypoglycaemia seriousness and weight gain as determinants of cardiovascular disease outcomes among sulfonylurea users. Diabetes Obes Metab. 2017;19:1425-1435. Nunes AP, Liang C, Gradishar WJ, et al. U.S. prevalence of endocrine therapy-naïve locally advanced or metastatic breast cancer. Current Oncol (Toronto, Ont). 2019;26:e180-e187. Spalding W, Bertoia ML, Bulik C, Lu M, Akinwonmi A, Seeger J. A retrospective cohort study of suicidality among patients with binge eating disorder. Psych Congress. San Diego, CA; 2019. Loughlin AM, Qiao Q, Nunes AP, et al. Effectiveness and tolerability of therapy with exenatide once weekly vs basal insulin among injectable-drug-naive elderly or renal impaired patients with type 2 diabetes in the United States. Diabetes Obes Metab. 2018;20:898-909. Nunes AP, Loughlin AM, Qiao Q, et al. Tolerability and effectiveness of Exenatide once weekly relative to basal insulin among type 2 diabetes patients of different races in routine care. Diabetes Ther. 2017;8:1349-1364. Guidelines for good pharmacoepidemiology practices (GPP). Pharmacoepidemiol Drug Saf. 2008;17:200-208. Char DS, Shah NH, Magnus D. Implementing machine learning in health care - addressing ethical challenges. N Engl J Med. 2018;378:981-983. Brosens I, Gordts S, Habiba M, Benagiano G. Uterine cystic adenomyosis: a disease of younger women. J Pediatr Adolesc Gynecol. 2015;28:420-426. Shafrir AL, Farland LV, Shah DK, et al. Risk for and consequences of endometriosis: a critical epidemiologic review. Best Pract Res Clin Obstet Gynaecol. 2018;51:1-15. Loughlin J, Quinn S, Rivero E, et al. Tegaserod and the risk of cardiovascular ischemic events: an observational cohort study. J Cardiovasc Pharmacol Ther. 2010;15:151-157. |
فهرسة مساهمة: | Keywords: adenomyosis; algorithm; electronic health record data; methods |
تواريخ الأحداث: | Date Created: 20210722 Date Completed: 20211224 Latest Revision: 20211224 |
رمز التحديث: | 20231215 |
DOI: | 10.1002/pds.5333 |
PMID: | 34292640 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1099-1557 |
---|---|
DOI: | 10.1002/pds.5333 |