INTRODUCTION: Polycystic Ovary Syndrome (PCOS) is the most common endocrinopathy causing infertility in women of reproductive age. According to the Rotterdam criteria, a PCOS diagnosis should be given if at least two of the following are met: 1) hyperandrogenism; 2) oligo-anovulation; and 3) polycystic ovarian morphology. Previous studies analyzing the prevalence of PCOS have done so in unselected and clinical populations but few studies have attempted to characterize the syndrome and its long-term outcomes within Electronic Health Records using International Classification of Disease (ICD) codes. OBJECTIVES: With a hospital-based electronic health record dataset, this thesis seeks to: (1) characterize PCOS in reproductively aged women (18-34) using the diagnostic codes (ICD-9 and ICD-10) versus the Rotterdam criteria, (2) determine the prevalence of metabolic syndrome (MetS), Type 2 Diabetes, and cardiac events in women above age 35, (3) determine age of diagnosis for MetS and time to diagnosis of MetS. METHODS: The following 3 cohorts were queried on the Research Patient Data Registry (RPDR): 1) patients aged 18-34 with classic PCOS (phenotype A and B) but without an ICD diagnosis for PCOS, 2) patients aged 18-34 with a PCOS ICD-9/10 diagnosis and 3) patients above age 35 with a history or current diagnosis of PCOS. Their electronic health records (between January 1 , 2003 and December 31 , 2020) were ascertained from 9 Mass General Brigham institutions after IRB approval and analyzed on Software for Statistics and Data Science (STATA). RESULTS: Overall, RPDR identified 12,669 patients aged 18-34 who fit the Rotterdam criteria (under multiple phenotypes), 4646 of which had classic PCOS but lacked an ICD- 9/10 code for PCOS. RPDR also identified 9341 women aged 35 and above with a past or current diagnosis of PCOS. Hispanics/Latinas (18-34) were two times more likely to be undiagnosed when compared to Non-Hispanic Whites (OR: 2.25, 95% CI: 1.98-2.56). The prevalence of MetS, specified by a diagnostic code (277.7 or E88.81), and other cardiac conditions in women above age 35 were considerably lower than those found in the current literature. CONCLUSION: Databases such as RPDR allow for a detailed analysis of patient demographics, labs, procedures and diagnoses. Additionally, it allows for larger cohorts of patients matching more specific criteria to be ascertained. Future studies should compare the prevalence of individual features of MetS by ICD codes and analyze the cardiology reports to determine if the events are being reported but not codified. / 2023-11-30
| Identifer | oai:union.ndltd.org:bu.edu/oai:open.bu.edu:2144/43352 |
| Date | 10 November 2021 |
| Creators | Canseco Neri, Jocelyn |
| Contributors | Layne, Matthew D. |
| Source Sets | Boston University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
| Rights | Attribution-ShareAlike 4.0 International, http://creativecommons.org/licenses/by-sa/4.0/ |
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