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Guide A, Sulieman L, Garbett S, Cronin RM, Spotnitz M, Natarajan K, Carroll RJ, Harris P, Chen Q. Identifying erroneous height and weight values from adult electronic health records in the All of Us research program. J Biomed Inform 2024; 155:104660. [PMID: 38788889 DOI: 10.1016/j.jbi.2024.104660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 04/29/2024] [Accepted: 05/21/2024] [Indexed: 05/26/2024]
Abstract
INTRODUCTION Electronic Health Records (EHR) are a useful data source for research, but their usability is hindered by measurement errors. This study investigated an automatic error detection algorithm for adult height and weight measurements in EHR for the All of Us Research Program (All of Us). METHODS We developed reference charts for adult heights and weights that were stratified on participant sex. Our analysis included 4,076,534 height and 5,207,328 wt measurements from ∼ 150,000 participants. Errors were identified using modified standard deviation scores, differences from their expected values, and significant changes between consecutive measurements. We evaluated our method with chart-reviewed heights (8,092) and weights (9,039) from 250 randomly selected participants and compared it with the current cleaning algorithm in All of Us. RESULTS The proposed algorithm classified 1.4 % of height and 1.5 % of weight errors in the full cohort. Sensitivity was 90.4 % (95 % CI: 79.0-96.8 %) for heights and 65.9 % (95 % CI: 56.9-74.1 %) for weights. Precision was 73.4 % (95 % CI: 60.9-83.7 %) for heights and 62.9 (95 % CI: 54.0-71.1 %) for weights. In comparison, the current cleaning algorithm has inferior performance in sensitivity (55.8 %) and precision (16.5 %) for height errors while having higher precision (94.0 %) and lower sensitivity (61.9 %) for weight errors. DISCUSSION Our proposed algorithm outperformed in detecting height errors compared to weights. It can serve as a valuable addition to the current All of Us cleaning algorithm for identifying erroneous height values.
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Affiliation(s)
- Andrew Guide
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Lina Sulieman
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Shawn Garbett
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Robert M Cronin
- Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Matthew Spotnitz
- Department of Biomedical Informatics, Columbia University, New York, NY, United States
| | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University, New York, NY, United States
| | - Robert J Carroll
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Paul Harris
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Qingxia Chen
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States.
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Birkelo BC, Brittain E, Guide A, Greevy RA, Matheny ME, Annis J, Richardson T, Faubel S, Siew ED. Heart failure subtype after acute kidney injury. BMC Nephrol 2024; 25:167. [PMID: 38760794 PMCID: PMC11100025 DOI: 10.1186/s12882-024-03602-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 05/06/2024] [Indexed: 05/19/2024] Open
Abstract
INTRODUCTION Acute kidney injury (AKI) is associated with increased risk of heart failure (HF). Determining the type of HF experienced by AKI survivors (heart failure with preserved or reduced ejection fraction, HFpEF or HFrEF) could suggest potential mechanisms underlying the association and opportunities for improving post-AKI care. METHODS In this retrospective study of adults within the Vanderbilt University health system with a diagnosis of HF, we tested whether AKI events in the two years preceding incident HF associated more with HFpEF or HFrEF while controlling for known predictors. HF outcomes were defined by administrative codes and classified as HFpEF or HFrEF by echocardiogram data. We used multivariable logistic regression models to estimate the effects of AKI on the odds of incident HFpEF versus HFrEF. RESULTS AKI (all stages) trended towards a preferential association with HFpEF in adjusted analyses (adjusted OR 0.80, 95% CI 0.63 - 1.01). Stage 1 AKI was associated with higher odds of HFpEF that was statistically significant (adjusted OR 0.62, 95% CI 0.43 - 0.88), whereas stages 2-3 AKI showed a trend toward HFrEF that did not reach statistical significance (adjusted OR 1.11, 95% CI 0.76 - 1.63). CONCLUSIONS AKI as a binary outcome trended towards a preferential association with HFpEF. Stage 1 AKI was associated with higher odds of HFpEF, whereas stage 2-3 trended towards an association with HFrEF that did not meet statistical significance. Different mechanisms may predominate in incident HF following mild versus more severe AKI. Close follow-up with particular attention to volume status and cardiac function after discharge is warranted after even mild AKI.
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Affiliation(s)
- Bethany C Birkelo
- Division of Nephrology and Hypertension, University of Minnesota, 717 Delaware St. SE, Minneapolis, MN, 55414, USA.
| | - Evan Brittain
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Andrew Guide
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Robert A Greevy
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
- Division of Nephrology and Hypertension, Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for Acute Kidney Injury Research (VIP-AKI), Vanderbilt University Medical Center, Nashville, TN, USA
- VA Tennessee Valley, Health Services Research and Development, Nashville, USA
| | - Michael E Matheny
- Division of Nephrology and Hypertension, Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for Acute Kidney Injury Research (VIP-AKI), Vanderbilt University Medical Center, Nashville, TN, USA
- VA Tennessee Valley, Health Services Research and Development, Nashville, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
- VA Geriatrics Research Education and Clinical Center (GRECC), Tennessee Valley Health System (THVS), Veteran's Health Administration, Nashville, TN, USA
| | - Jeffrey Annis
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Trey Richardson
- Division of Nephrology and Hypertension, Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for Acute Kidney Injury Research (VIP-AKI), Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sarah Faubel
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Edward D Siew
- Division of Nephrology and Hypertension, Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for Acute Kidney Injury Research (VIP-AKI), Vanderbilt University Medical Center, Nashville, TN, USA
- VA Tennessee Valley, Health Services Research and Development, Nashville, USA
- VA Geriatrics Research Education and Clinical Center (GRECC), Tennessee Valley Health System (THVS), Veteran's Health Administration, Nashville, TN, USA
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Richmond J, Cunningham-Erves J, Givens B, Guide A, Barnes LK, Fair AM, Carpenter SM, Chen Q, Watson KS, Cohn EG, Wilkins CH. All of Us Participant Perspectives on the Return of Value in Research. Genet Med 2024:101163. [PMID: 38738530 DOI: 10.1016/j.gim.2024.101163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 05/04/2024] [Accepted: 05/06/2024] [Indexed: 05/14/2024] Open
Abstract
PURPOSE To understand participant preferences for receiving specific types of research information, whether information preferences vary across sociodemographic groups, and the types of health providers participants could access to understand returned information. METHODS All of Us Research Program participants completed a value of returning research information survey. Stratified sampling was implemented to enhance participant diversity and avoid non-coverage. We used weighted multivariable logistic regression to evaluate associations between the most valuable information types, access to providers, and sociodemographic variables. RESULTS Participants (N=20,405) were diverse in their race/ethnicity (e.g., 52% were White, 18% were Hispanic/Latino or Spanish, 3% were Asian, and 20% were Black or African American). Most participants (78.6%) valued information about their risk of serious genetic diseases with available treatment. Primary care physicians, specialists, and genetic counselors were the top providers that participants could access for help understanding returned information. Information preferences and provider access varied across sociodemographic groups. For example, as income levels increased, the odds of placing value on genetic results indicating risk of serious disease with available treatment increased when compared to the lowest income levels (p-value<0.001). CONCLUSION Although genetic information was most valuable to participants, preferences about specific information types varied across sociodemographic groups.
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Affiliation(s)
- Jennifer Richmond
- Division of Public Health Sciences, Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC
| | | | | | - Andrew Guide
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN
| | | | - Alecia Malin Fair
- Division of Geriatric Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | | | - Qingxia Chen
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
| | | | | | - Consuelo H Wilkins
- Division of Geriatric Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
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Tesfaye S, Cronin RM, Lopez-Class M, Chen Q, Foster CS, Gu CA, Guide A, Hiatt RA, Johnson AS, Joseph CLM, Khatri P, Lim S, Litwin TR, Munoz FA, Ramirez AH, Sansbury H, Schlundt DG, Viera EN, Dede-Yildirim E, Clark CR. Measuring social determinants of health in the All of Us Research Program. Sci Rep 2024; 14:8815. [PMID: 38627404 PMCID: PMC11021514 DOI: 10.1038/s41598-024-57410-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 03/18/2024] [Indexed: 04/19/2024] Open
Abstract
To accelerate medical breakthroughs, the All of Us Research Program aims to collect data from over one million participants. This report outlines processes used to construct the All of Us Social Determinants of Health (SDOH) survey and presents the psychometric characteristics of SDOH survey measures in All of Us. A consensus process was used to select SDOH measures, prioritizing concepts validated in diverse populations and other national cohort surveys. Survey item non-response was calculated, and Cronbach's alpha was used to analyze psychometric properties of scales. Multivariable logistic regression models were used to examine associations between demographic categories and item non-response. Twenty-nine percent (N = 117,783) of eligible All of Us participants submitted SDOH survey data for these analyses. Most scales had less than 5% incalculable scores due to item non-response. Patterns of item non-response were seen by racial identity, educational attainment, income level, survey language, and age. Internal consistency reliability was greater than 0.80 for almost all scales and most demographic groups. The SDOH survey demonstrated good to excellent reliability across several measures and within multiple populations underrepresented in biomedical research. Bias due to survey non-response and item non-response will be monitored and addressed as the survey is fielded more completely.
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Affiliation(s)
- Samantha Tesfaye
- Division of Medical and Scientific Research, All of Us Research Program, National Institutes of Health, Bethesda, MD, USA
- Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN, USA
| | - Robert M Cronin
- Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Maria Lopez-Class
- Division of Cohort Development (DCD), All of Us Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Qingxia Chen
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Christopher S Foster
- Division of Cohort Development (DCD), All of Us Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Callie A Gu
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Andrew Guide
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Robert A Hiatt
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Angelica S Johnson
- Division of Engagement and Outreach, All of Us Research Program, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Sokny Lim
- Office of Data and Analytics, All of Us Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Tamara R Litwin
- Division of Medical and Scientific Research, All of Us Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Fatima A Munoz
- Division of Health Support Services, San Ysidro Health, San Diego, CA, USA
| | - Andrea H Ramirez
- Office of Data and Analytics, All of Us Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Heather Sansbury
- All of Us Research Program, National Institutes of Health, Bethesda, MD, USA
- Leidos, Inc., Reston, VA, USA
| | - David G Schlundt
- Department of Psychology, Vanderbilt University, Nashville, TN, USA
| | | | - Elif Dede-Yildirim
- Office of Data and Analytics, All of Us Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Cheryl R Clark
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
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AbiFaraj F, Lee D, Lacovara M, Kapoor T, Seshasai R, Bansal S, Greevy R, Guide A, Sharma S, Uribarri J, El Shamy O. Survey of Peritoneal Dialysis Patients' Challenges and Experiences during the COVID-19 Pandemic: A Multicenter Study in the United States. Kidney360 2023; 4:e1276-e1285. [PMID: 37357350 PMCID: PMC10547227 DOI: 10.34067/kid.0000000000000202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 06/18/2023] [Indexed: 06/27/2023]
Abstract
Key Points The adjustments made by the dialysis units during the peak of the pandemic were effective in maneuvering the challenges faced by our patients during the COVID-19 pandemic. Patients who remained on PD were satisfied with the quality of care, felt supported by the unit staff, and did not report feeling anxious or depressed. Background During the coronavirus disease 2019 (COVID-19) pandemic, adjustments were made to peritoneal dialysis (PD) practices in the outpatient units. These were decisions made by dialysis providers, clinical staff, and governments with input from patient organizations in some instances. The patient perspective regarding these changes during the pandemic has not been explored. We sought to evaluate patient experiences and perceptions of the challenges they faced, institutional adjustments, and their mental health during the height of the COVID-19 pandemic in the United States. Methods We conducted a cross-sectional survey of PD patients across four home dialysis units affiliated with four large academic centers, who were on PD between March 2020 and March 2021. Results Ninety-eight participants completed the survey across the four outpatient PD clinics. Over 95% of patients did not have to change their home accommodations during the pandemic, and over 80% did not have issues getting their dialysis supplies and medications delivered. Ninety-three percent of patients felt comfortable coming to the dialysis unit if they needed to during the pandemic. Almost all patients (98%) felt supported by their dialysis staff during the peak of COVID-19 and had modified Patient Health Questionnaire 2 (91%) and Generalized Anxiety Disorder 2-item (96%) scores not consistent with depression or anxiety. Less than 10% of patients considered changing their dialysis modality. Conclusions The adjustments made by the dialysis units during the peak of the pandemic were effective in maneuvering the challenges faced by our patients during the COVID-19 pandemic. Overall, patients who remained on PD were satisfied with the quality of care, felt supported by the unit staff, and did not report feeling anxious or depressed.
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Affiliation(s)
- Farah AbiFaraj
- Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Dale Lee
- Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Meghan Lacovara
- Renal Electrolyte and Hypertension Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Tarun Kapoor
- Department of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Rebecca Seshasai
- Renal Electrolyte and Hypertension Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Shweta Bansal
- Division of Nephrology, Department of Medicine, University of Texas Health San Antonio, San Antonio, Texas
| | - Robert Greevy
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Andrew Guide
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Shuchita Sharma
- Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jaime Uribarri
- Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Osama El Shamy
- Department of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, Tennessee
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Ertuglu LA, Sahinoz M, Alsouqi A, Deger SM, Guide A, Stewart TG, Pike M, Robinson-Cohen C, Akwo E, Pridmore M, Crescenzi R, Madhur MS, Harrison DG, Luft FC, Titze J, Ikizler TA. High tissue-sodium associates with systemic inflammation and insulin resistance in obese individuals. Nutr Metab Cardiovasc Dis 2023; 33:1398-1406. [PMID: 37156670 PMCID: PMC10330402 DOI: 10.1016/j.numecd.2023.03.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 02/28/2023] [Accepted: 03/30/2023] [Indexed: 05/10/2023]
Abstract
BACKGROUND AND AIMS High sodium intake is associated with obesity and insulin resistance, and high extracellular sodium content may induce systemic inflammation, leading to cardiovascular disease. In this study, we aim to investigate whether high tissue sodium accumulation relates with obesity-related insulin resistance and whether the pro-inflammatory effects of excess tissue sodium accumulation may contribute to such association. METHODS AND RESULTS In a cross-sectional study of 30 obese and 53 non-obese subjects, we measured insulin sensitivity determined as glucose disposal rate (GDR) using hyperinsulinemic euglycemic clamp, and tissue sodium content using 23Na magnetic resonance imaging. Median age was 48 years, 68% were female and 41% were African American. Median (interquartile range) BMI was 33 (31.5, 36.3) and 25 (23.5, 27.2) kg/m2 in the obese and non-obese individuals, respectively. In obese individuals, insulin sensitivity negatively correlated with muscle (r = -0.45, p = 0.01) and skin sodium (r = -0.46, p = 0.01). In interaction analysis among obese individuals, tissue sodium had a greater effect on insulin sensitivity at higher levels of high-sensitivity C-reactive protein (p-interaction = 0.03 and 0.01 for muscle and skin Na+, respectively) and interleukin-6 (p-interaction = 0.024 and 0.003 for muscle and skin Na+, respectively). In interaction analysis of the entire cohort, the association between muscle sodium and insulin sensitivity was stronger with increasing levels of serum leptin (p-interaction = 0.01). CONCLUSIONS Higher muscle and skin sodium are associated with insulin resistance in obese patients. Whether high tissue sodium accumulation has a mechanistic role in the development of obesity-related insulin resistance through systemic inflammation and leptin dysregulation remains to be examined in future studies. CLINICALTRIALS gov registration: NCT02236520.
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Affiliation(s)
- Lale A Ertuglu
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Melis Sahinoz
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Aseel Alsouqi
- Now with Division of Hematology and Oncology, Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
| | - Serpil Muge Deger
- Division of Nephrology, Department of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Andrew Guide
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Thomas G Stewart
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Mindy Pike
- Division of Epidemiology, Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Cassianne Robinson-Cohen
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Elvis Akwo
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Michael Pridmore
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Rachelle Crescenzi
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Meena S Madhur
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Molecular Physiology and Biophysics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - David G Harrison
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Friedrich C Luft
- Experimental and Clinical Research Center, MDC/Charité, Berlin, Germany
| | - Jens Titze
- Program in Cardiovascular and Metabolic Disorders, Duke NUS Medical School, Singapore.
| | - T Alp Ikizler
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
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Alsouqi A, Deger SM, Sahinoz M, Mambungu C, Clagett AR, Bian A, Guide A, Stewart TG, Pike M, Robinson‐Cohen C, Crescenzi R, Madhur MS, Harrison DG, Ikizler TA. Tissue Sodium in Patients With Early Stage Hypertension: A Randomized Controlled Trial. J Am Heart Assoc 2022; 11:e022723. [PMID: 35435017 PMCID: PMC9238458 DOI: 10.1161/jaha.121.022723] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Background Sodium (Na+) stored in skin and muscle tissue is associated with essential hypertension. Sodium magnetic resonance imaging is a validated method of quantifying tissue stores of Na+. In this study, we evaluated tissue Na+ in patients with elevated blood pressure or stage I hypertension in response to diuretic therapy or low Na+ diet. Methods and Results In a double‐blinded, placebo‐controlled trial, patients with systolic blood pressure 120 to 139 mm Hg were randomized to low sodium diet (<2 g of sodium), chlorthalidone, spironolactone, or placebo for 8 weeks. Muscle and skin Na+ using sodium magnetic resonance imaging and pulse wave velocity were assessed at the beginning and end of the study. Ninety‐eight patients were enrolled to undergo baseline measurements and 54 completed randomization. Median baseline muscle and skin Na+ in 98 patients were 16.4 mmol/L (14.9, 18.9) and 13.1 mmol/L (11.1, 16.1), respectively. After 8 weeks, muscle Na+ increased in the diet and chlorthalidone arms compared with placebo. Skin sodium was decreased only in the diet arm compared with placebo. These associations remained significant after adjustment for age, sex, body mass index, systolic blood pressure, and urinary sodium. No changes were observed in pulse wave velocity among the different groups when compared with placebo. Conclusions Diuretic therapy for 8 weeks did not decrease muscle or skin sodium or improve pulse wave velocity in patients with elevated blood pressure or stage I hypertension. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT02236520.
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Affiliation(s)
- Aseel Alsouqi
- Now with Division of Hematology and Oncology Department of Medicine University of Pittsburgh Medical Center Pittsburgh PA
- Department of Medicine Vanderbilt University Medical Center Nashville TN
| | - Serpil Muge Deger
- Division of Nephrology Department of Medicine Dokuz Eylul University Izmir Turkey
| | - Melis Sahinoz
- Department of Medicine Vanderbilt University Medical Center Nashville TN
| | - Cindy Mambungu
- Division of Nephrology and Hypertension Department of Medicine Vanderbilt University Medical Center Nashville TN
| | - Adrienne R. Clagett
- Division of Nephrology and Hypertension Department of Medicine Vanderbilt University Medical Center Nashville TN
| | - Aihua Bian
- Department of Biostatistics Vanderbilt University Medical Center Nashville TN
| | - Andrew Guide
- Department of Biostatistics Vanderbilt University Medical Center Nashville TN
| | - Thomas G. Stewart
- Department of Biostatistics Vanderbilt University Medical Center Nashville TN
| | - Mindy Pike
- Division of Epidemiology Department of Medicine Vanderbilt University Nashville TN
| | - Cassianne Robinson‐Cohen
- Division of Nephrology and Hypertension Department of Medicine Vanderbilt University Medical Center Nashville TN
| | - Rachelle Crescenzi
- Department of Radiology and Radiological Sciences Vanderbilt University Medical Center Nashville TN
| | - Meena S. Madhur
- Division of Clinical Pharmacology Department of Medicine Vanderbilt University Medical Center Nashville TN
- Department of Molecular Physiology and Biophysics Vanderbilt University Medical Center Nashville TN
| | - David G. Harrison
- Division of Clinical Pharmacology Department of Medicine Vanderbilt University Medical Center Nashville TN
| | - Talat Alp Ikizler
- Division of Nephrology and Hypertension Department of Medicine Vanderbilt University Medical Center Nashville TN
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Fissell RB, Schlundt D, Cavanaugh KL, Mueller C, Umeukeje EM, Nair D, Wild M, Chariwala S, Guide A, Stewart T, Wallston K. A Cross-sectional Study of Fixed and Growth Mindset in Adult Peritoneal Dialysis Patients. J Patient Exp 2021; 8:23743735211055289. [PMID: 34820508 PMCID: PMC8606950 DOI: 10.1177/23743735211055289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Increasing home dialysis prevalence is an international priority. Many patients start peritoneal dialysis, then transition to hemodialysis after complications. New strategies are needed to support modality persistence. Health mindset refers to individual belief about capacity to change to improve health. Mindset was measured in a cross-section of 101 adult peritoneal dialysis patients from April 2019 to June 2020. The Health Mindset Scale was administered to characterize the continuum of fixed vs. growth mindset with respect to health. Health literacy and health self-efficacy were also assessed. Participants were 43% female, 32% African American, and 42% diabetic. Health mindset scores were skewed toward growth (range 3-18), with average (SD) 12.83 (4.2). Growth mindset was strongly associated with health self-efficacy. Adults receiving peritoneal dialysis report health mindset variation. Growth mindset and health self-efficacy correlation suggests measurement of similar constructs, demonstrating convergent validity. The Health Mindset Scale may identify individuals who could benefit from targeted interventions to improve mindset, and foster peritoneal dialysis modality persistence.
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Affiliation(s)
- Rachel B Fissell
- Division of Nephrology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - David Schlundt
- Department of Psychology, Vanderbilt University, Nashville, TN, USA
| | - Kerri L Cavanaugh
- Division of Nephrology, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Ebele M Umeukeje
- Division of Nephrology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Devika Nair
- Division of Nephrology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Marcus Wild
- Department of Psychology, Vanderbilt University, Nashville, TN, USA
| | - Saqib Chariwala
- New York Institute of Technology College of Osteopathic Medicine, New York, USA
| | - Andrew Guide
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Thomas Stewart
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kenneth Wallston
- Institute of Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN, USA
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Cox ZL, Sarrell BA, Cella MK, Tucker B, Arroyo JP, Umanath K, Tidwell W, Guide A, Testani JM, Lewis JB, Dwyer JP. Multinephron Segment Diuretic Therapy to Overcome Diuretic Resistance in Acute Heart Failure: A Single-Center Experience. J Card Fail 2021; 28:21-31. [PMID: 34403831 DOI: 10.1016/j.cardfail.2021.07.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 07/14/2021] [Accepted: 07/19/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND The concept of multinephron segment diuretic therapy (MSDT) has been recommended in severe diuretic resistance with only expert opinion and case-level evidence. The purpose of this study was to investigate the safety and efficacy of MSDT, combining 4 diuretic classes, in acute heart failure (AHF) complicated by diuretic resistance. METHODS AND RESULTS A retrospective analysis was conducted in patients hospitalized with AHF at a single medical center who received MSDT, including concomitant carbonic anhydrase inhibitor, loop, thiazide, and mineralocorticoid receptor antagonist diuretics. Subjects served as their own controls with efficacy evaluated as urine output and weight change before and after MSDT. Serum chemistries, renal replacement therapies, and in-hospital mortality were evaluated for safety. Patients with severe diuretic resistance before MSDT were analyzed as a subcohort. A total of 167 patients with AHF and diuretic resistance received MSDT. MSDT was associated with increased median 24-hour urine output in the first day of therapy compared with the previous day (2.16 L [0.95-4.14 L] to 3.08 L [1.74-4.86 L], P = .003) in the total cohort and in the Severe diuretic resistance cohort (0.91 L [0.43-1.43 L] to 2.08 L [1.13-3.96 L], P < .001). The median cumulative weight loss at day 7 or discharge was -7.4 kg (-15.3 to -3.4 kg) (P = .02). Neither serum sodium, chloride, potassium, bicarbonate, or creatinine changed significantly relative to baseline (P > .05 for all). CONCLUSIONS In an AHF cohort with diuretic resistance, MSDT was associated with increased diuresis without changes in serum chemistries or kidney function. Prospective studies of MSDT in AHF and diuretic resistance are warranted.
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Affiliation(s)
- Zachary L Cox
- Department of Pharmacy Practice, Lipscomb University College of Pharmacy, Nashville, Tennessee; Department of Pharmacy, Vanderbilt University Medical Center, Nashville, Tennessee.
| | - Bonnie Ann Sarrell
- Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Mary Katherine Cella
- Department of Pharmacy Practice, Lipscomb University College of Pharmacy, Nashville, Tennessee
| | - Brent Tucker
- Department of Pharmacy Practice, Lipscomb University College of Pharmacy, Nashville, Tennessee
| | - Juan P Arroyo
- Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Kausik Umanath
- Division of Nephrology and Hypertension, Henry Ford Hospital, Detroit, Michigan; Division of Nephrology and Hypertension, Wayne State University, Detroit, Michigan
| | - William Tidwell
- Department of Pharmacy, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Andrew Guide
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Jeffrey M Testani
- Division of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Julia B Lewis
- Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Jamie P Dwyer
- Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, Tennessee
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MacLaughlin HL, Pike M, Selby NM, Siew E, Chinchilli VM, Guide A, Stewart TG, Himmelfarb J, Go AS, Parikh CR, Ghahramani N, Kaufman J, Ikizler TA, Robinson-Cohen C. Body mass index and chronic kidney disease outcomes after acute kidney injury: a prospective matched cohort study. BMC Nephrol 2021; 22:200. [PMID: 34049502 PMCID: PMC8161937 DOI: 10.1186/s12882-021-02400-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 05/06/2021] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Acute kidney injury (AKI) and obesity are independent risk factors for chronic kidney disease (CKD). This study aimed to determine if obesity modifies risk for CKD outcomes after AKI. METHODS This prospective multisite cohort study followed adult survivors after hospitalization, with or without AKI. The primary outcome was a combined CKD event of incident CKD, progression of CKD and kidney failure, examined using time-to-event Cox proportional hazards models, adjusted for diabetes status, age, pre-existing CKD, cardiovascular disease status and intensive care unit admission, and stratified by study center. Body mass index (BMI) was added as an interaction term to examine effect modification by body size. RESULTS The cohort included 769 participants with AKI and 769 matched controls. After median follow-up of 4.3 years, among AKI survivors, the rate of the combined CKD outcome was 84.7 per1000-person-years with BMI ≥30 kg/m2, 56.4 per 1000-person-years with BMI 25-29.9 kg/m2, and 72.6 per 1000-person-years with BMI 20-24.9 kg/m2. AKI was associated with a higher risk of combined CKD outcomes; adjusted-HR 2.43 (95%CI 1.87-3.16), with no evidence that this was modified by BMI (p for interaction = 0.3). After adjustment for competing risk of death, AKI remained associated with a higher risk of the combined CKD outcome (subdistribution-HR 2.27, 95%CI 1.76-2.92) and similarly, there was no detectable effect of BMI modifying this risk. CONCLUSIONS In this post-hospitalization cohort, we found no evidence for obesity modifying the association between AKI and development or progression of CKD.
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Affiliation(s)
- Helen L MacLaughlin
- Queensland University of Technology, School of Exercise and Nutrition Sciences, Victoria Park Road, Kelvin Grove, QLD, Australia.
- Royal Brisbane and Women's Hospital, Herston, QLD, Australia.
| | - Mindy Pike
- Division of Nephrology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nicholas M Selby
- Centre for Kidney Research and Innovation, University of Nottingham, Derby, UK
| | - Edward Siew
- Division of Nephrology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Vernon M Chinchilli
- Division of Biostatistics and Informatics, Pennsylvania State University, Hershey, PA, USA
| | - Andrew Guide
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Thomas G Stewart
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | | | - Alan S Go
- Kaiser Permanente Northern California, Oakland, CA, USA
- University of California, San Francisco, San Francisco, CA, USA
| | - Chirag R Parikh
- Division of Nephrology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Nasrollah Ghahramani
- Division of Nephrology, Department of Medicine, Penn State College of Medicine, Hershey, PA, USA
| | - James Kaufman
- Renal Section, Veterans Affairs New York Harbor Health Care System and New York University School of Medicine, New York, NY, USA
| | - T Alp Ikizler
- Division of Nephrology, Vanderbilt University Medical Center, Nashville, TN, USA
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11
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Sahinoz M, Tintara S, Deger SM, Alsouqi A, Crescenzi RL, Mambungu C, Vincz A, Mason OJ, Prigmore HL, Guide A, Stewart TG, Harrison DG, Luft FC, Titze J, Ikizler TA. Tissue sodium stores in peritoneal dialysis and hemodialysis patients determined by 23-sodium magnetic resonance imaging. Nephrol Dial Transplant 2020; 36:gfaa350. [PMID: 33351140 PMCID: PMC8237985 DOI: 10.1093/ndt/gfaa350] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 10/21/2020] [Accepted: 11/18/2020] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Tissue sodium content in patients on maintenance hemodialysis (MHD) and peritoneal dialysis (PD) were previously explored using 23Sodium magnetic resonance imaging (23NaMRI). Larger studies would provide a better understanding of sodium stores in patients on dialysis as well as the factors influencing this sodium accumulation. METHODS In this cross-sectional study, we quantified the calf muscle and skin sodium content in 162 subjects (10 PD, 33 MHD patients, and 119 controls) using 23NaMRI. Plasma levels of interleukin-6 (IL-6) and high-sensitivity C-reactive protein (hsCRP) were measured to assess systemic inflammation. Sixty-four subjects had repeat 23NaMRI scans that were analyzed to assess the repeatability of the 23NaMRI measurements. RESULTS Patients on MHD and PD exhibited significantly higher muscle and skin sodium accumulation compared to controls. African American patients on dialysis exhibited greater muscle and skin sodium content compared to non-African Americans. Multivariable analysis showed that older age was associated with both higher muscle and skin sodium. Male sex was also associated with increased skin sodium deposition. Greater ultrafiltration was associated with lower skin sodium in patients on PD (Spearman's rho=-0.68, P = 0.035). Higher plasma IL-6 and hsCRP levels correlated with increased muscle and skin sodium content in the overall study population. Patients with higher baseline tissue sodium content exhibited greater variability in tissue sodium stores on repeat measurements. CONCLUSIONS Our findings highlight greater muscle and skin sodium content in dialysis patients compared to controls without kidney disease. Tissue sodium deposition and systemic inflammation seen in dialysis patients might influence one another bidirectionally.
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Affiliation(s)
- Melis Sahinoz
- Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center Nashville, TN, USA
- Veterans Administration, Tennessee Valley Healthcare System, Nashville, TN, USA
| | - Supisara Tintara
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Serpil Muge Deger
- Department of Nephrology, Yuksek Ihtisas University, Koru Ankara Hospital, Ankara, Turkey
| | - Aseel Alsouqi
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Rachelle L Crescenzi
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Cindy Mambungu
- Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center Nashville, TN, USA
- Veterans Administration, Tennessee Valley Healthcare System, Nashville, TN, USA
| | - Andrew Vincz
- Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center Nashville, TN, USA
- Veterans Administration, Tennessee Valley Healthcare System, Nashville, TN, USA
| | - Olivia J Mason
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Heather L Prigmore
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Andrew Guide
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Thomas G Stewart
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - David G Harrison
- Department of Medicine, Division of Clinical Pharmacology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Friedrich C Luft
- Experimental and Clinical Research Center, Charité Medical Faculty, Berlin, Germany
| | - Jens Titze
- Programme in Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore
- Division of Nephrology and Hypertension, University Clinic Erlangen, Erlangen, Germany
- Division of Nephrology, Duke University School of Medicine, Durham, NC, USA
| | - Talat Alp Ikizler
- Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center Nashville, TN, USA
- Veterans Administration, Tennessee Valley Healthcare System, Nashville, TN, USA
- Vanderbilt Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, TN, USA
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