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Nilles, Ester Kim

https://orcid.org/0009-0004-1719-6270

Mayo Clinic

Duke University

Citations 3

Seasonal variation in blood pressure control across US health systems
Nilles, Ester Kim , Champon, XiaoXia, Mulder, Hillary, Shaw, Kathryn M., Smith, Myra, Lampron, Zachary, Viera, Anthony J. , Chuang, Cynthia H. , McTigue, Kathleen M. , McClay, James C. , Maeztu, Carlos , Sanders, Margaret , Warren, Nate, VanWormer, Jeffrey J. , Modrow, Madelaine Faulkner , Pletcher, Mark J. , O’Brien, Emily C. , Mulder, Hillary , Pletcher, Mark J , Mulder, Hillary , Faulkner Modrow, Madelaine , Wozniak, Gregory , Chamberlain, Alanna M. , Carton, Thomas W. , Ahmad, Faraz S. , Steinberg, Benjamin A. , Polonsky, Tamar S. , Singh, Rajbir , Liu, Mei , Park, Soohyung , Rakotz, Michael , Cooper‐DeHoff, Rhonda M.

Journal of Hypertension | March 8, 2023 | Volume: 41 | Issue: 5 | Pages: 751-758

10.1097/hjh.0000000000003396 Get It

Objective: We aimed to characterize seasonal variation in US population-based blood pressure (BP) control and BP-related metrics and evaluate the association between outdoor temperature and BP control variation. Methods: We queried electronic health records (EHRs) from 26 health systems, representing 21 states, to summarize BP metrics by quarters of 12-month periods from January 2017 to March 2020. Patients with at least one ambulatory visit during the measurement period and a hypertension diagnosis during the first 6 months or prior to the measurement period were included. Changes in BP control, BP improvement, medication intensification, average SBP reduction after medication intensification across quarters and association with outdoor temperature were analyzed using weighted generalized linear models with repeated measures. Results: Among 1 818 041 people with hypertension, the majority were more than 65 years of age (52.2%), female (52.1%), white non-Hispanic (69.8%) and had stage 1/2 hypertension (64.8%). Overall, BP control and process metrics were highest in quarters 2 and 3, and lowest in quarters 1 and 4. Quarter 2 had the highest percentage of improved BP (31.95 ± 0.90%) and average SBP reduction after medication intensification (16 ± 0.23 mmHg). Quarter 3 had the highest percentage of BP controlled (62.25 ± 2.55%) and lowest with medication intensification (9.73 ± 0.60%). Results were largely consistent in adjusted models. Average temperature was associated with BP control metrics in unadjusted models, but associations were attenuated following adjustment. Conclusion: In this large, national, EHR-based study, BP control and BP-related process metrics improved during spring/summer months, but outdoor temperature was not associated with performance following adjustment for potential confounders.
Abstract 11355: Contemporary Patterns of Lipoprotein(a) Testing and Associated Clinical Care and Outcomes
Kelsey, Michelle D. , Lampron, Zachary, Paranjape, Anuradha , McTigue, Kathleen M. , Kent, Shia T. , O’Brien, Emily C. , Pagidipati, Neha J. , Mulder, Hillary , Chiswell, Karen , Nilles, Ester Kim , Kulinski, Jacquelyn P. , Joshi, Parag H. , Jones, William Stephen , Chamberlain, Alanna M. , Leucker, Thorsten Martin , Hwang, Wenke , Milks, Michael Wesley , Obeid, Jihad S. , Linton, MacRae F.

Circulation | March 19, 2022 | Volume: 144 | Issue: Suppl_1 | Pages: No page available

10.1161/circ.144.suppl_1.11355 Get It

Introduction: Elevated lipoprotein(a) [Lp(a)] is associated with atherosclerotic cardiovascular disease (ASCVD), yet little is known about Lp(a) testing patterns in real-world practice. We hypothesized that Lp(a) testing occurs in a different population than calculated low density lipoprotein (LDL-C) testing alone, and that elevated Lp(a) is associated with greater lipid-lowering therapy (LLT) initiation and cardiovascular (CV) events. Methods: We used data from 11 health systems participating in the National Patient-Centered Clinical Research Network. We created two cohorts based on lab tests from Jan 1, 2015 to Dec 31, 2019: 1) the Lp(a) cohort, of adults with an Lp(a) test and 2) the LDL-C cohort, of 4:1 date- and site-matched adults with an LDL-C test, but no Lp(a) test. We used logistic regression to assess the relationship between Lp(a) levels (< 50, 50-100, and > 100mg/dL) and initiation of LLT within 3 months; and cox proportional hazards to evaluate Lp(a) levels and time to all-cause hospitalization and the composite of MI, revascularization and ischemic stroke hospitalization. Results: Overall, 20,551 patients (0.06% per year) had Lp(a) tests, with median Lp(a) value 17.5mg/dL (Q1, Q3: 7.0, 56.0). Compared with the LDL-C cohort (N=82,204), the Lp(a) cohort more frequently had ASCVD (24.3% vs. 8.5%) or multiple prior CV events (8.6% vs. 2.6%). Elevated Lp(a) was associated with greater odds of LLT initiation (Figure 1). Elevated Lp(a) was not significantly associated with all-cause hospitalization; however, Lp(a) > 100mg/dL was correlated with composite CV hospitalization compared with Lp(a) < 50mg/dL [adj HR (95% CI): 1.24 (1.06-1.44), p=0.006]. Conclusions: Lp(a) testing occurs more often in adults with ASCVD and multiple CV events, but testing is infrequent. Elevated Lp(a) was associated with LLT initiation, including niacin, despite lack of evidence of CV benefit. There was an association between elevated Lp(a) and CV hospitalization outcomes.
Tracking Blood Pressure Control Performance and Process Metrics in 25 US Health Systems: The PCORnet Blood Pressure Control Laboratory
Cooper‐DeHoff, Rhonda M. , Fontil, Valy, Carton, Thomas, Chamberlain, Alanna M. , Todd, Jonathan, O’Brien, Emily C., Shaw, Kathryn M., Smith, Myra, Choi, Sujung, Nilles, Ester K., Ford, Daniel, Tecson, Kristen M. , Dennar, Princess E., Wu, Shenghui, McClay, James C. , Azar, Kristen , Singh, Rajbir, Modrow, Madelaine Faulkner, Shay, Christina M., Wozniak, Gregory, Pletcher, Mark J. , Nilles, Ester Kim , Modrow, Madelaine Faulkner , Ahmad, Faraz , McClay, James , Azar, Kristen , Rakotz, Michael , Pletcher, Mark J , Chamberlain, Alanna M , Faulkner Modrow, Madelaine , Cooper‐DeHoff, Rhonda M. , Fontil, Valy, Carton, Thomas, Todd, Jonathan, O’Brien, Emily C., Shaw, Kathryn M., Smith, Myra, Choi, Sujung, Ford, Daniel, Tecson, Kristen M. , Dennar, Princess E., Wu, Shenghui, Singh, Rajbir, Shay, Christina M., Wozniak, Gregory

Journal of the American Heart Association | October 6, 2021 | Volume: 10 | Issue: 21 | Pages: No page available

10.1161/jaha.121.022224 Get It

Background The National Patient‐Centered Clinical Research Network Blood Pressure Control Laboratory Surveillance System was established to identify opportunities for blood pressure (BP) control improvement and to provide a mechanism for tracking improvement longitudinally. Methods and Results We conducted a serial cross‐sectional study with queries against standardized electronic health record data in the National Patient‐Centered Clinical Research Network (PCORnet) common data model returned by 25 participating US health systems. Queries produced BP control metrics for adults with well‐documented hypertension and a recent encounter at the health system for a series of 1‐year measurement periods for each quarter of available data from January 2017 to March 2020. Aggregate weighted results are presented overall and by race and ethnicity. The most recent measurement period includes data from 1 737 995 patients, and 11 956 509 patient‐years were included in the trend analysis. Overall, 15% were Black, 52% women, and 28% had diabetes. BP control (<140/90 mm Hg) was observed in 62% (range, 44%–74%) but varied by race and ethnicity, with the lowest BP control among Black patients at 57% (odds ratio, 0.79; 95% CI, 0.66–0.94). A new class of antihypertensive medication (medication intensification) was prescribed in just 12% (range, 0.6%–25%) of patient visits where BP was uncontrolled. However, when medication intensification occurred, there was a large decrease in systolic BP (≈15 mm Hg; range, 5–18 mm Hg). Conclusions Major opportunities exist for improving BP control and reducing disparities, especially through consistent medication intensification when BP is uncontrolled. These data demonstrate substantial room for improvement and opportunities to close health equity gaps.