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Liu X, Ju G, Huang X, Yang W, Chen L, Li C, He Q, Xu N, Zhu X, Ouyang D. Escitalopram population pharmacokinetics and remedial strategies based on CYP2C19 phenotype. J Affect Disord 2024; 346:64-74. [PMID: 37949237 DOI: 10.1016/j.jad.2023.11.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 11/02/2023] [Accepted: 11/07/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND AND PURPOSE CYP2C19 is a key factor influencing escitalopram (SCIT) exposure. However, different studies reported various results. This study aims to develop a population pharmacokinetic (popPK) model characterizes the disposition of SCIT in the Chinese population. Based on the popPK model, the study simulates non-adherence scenarios and proposes remedial strategies to facilitate SCIT personalized therapy. METHODS Nonlinear mixed-effects modeling using data from two Chinese bioequivalence studies was employed. Monte-Carlo simulation was used to explore non-adherence scenarios and propose remedial strategies based on the proportion of time within the therapeutic window. RESULTS Results showed that a one-compartment model with transit absorption and linear elimination described the data well, CYP2C19 phenotypes and weight were identified as significant covariates impacting SCIT exposure. Patients were recommended to take the entire delayed dose immediately if the delay time was no >12 h, followed by the regular regimen at the next scheduled time. When there is one or two doses missed, taking a double dose immediately was recommended to the CYP2C19 intermediate and extensive population, and a 1.5-fold dose was recommended to the CYP2C19 poor metabolizers with the consideration of adverse effects. LIMITATION All samples were derived from the homogenized Chinese healthy population for model building, which may pose certain constraints on the ability to identify significant covariates, such as age. CONCLUSION The study highlights the importance of considering patient characteristics for personalized medication and offers a unique perspective on utilizing the popPK repository in precision dosing.
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Affiliation(s)
- Xin Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China; Hunan Key Laboratory of Pharmacogenetics, Xiangya Hospital, Institute of Clinical Pharmacology, Central South University, Changsha, China; Hunan Key Laboratory for Bioanalysis of Complex Matrix Samples, Changsha Duxact Biotech Co., Ltd., Changsha, China
| | - Gehang Ju
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China; Hunan Key Laboratory of Pharmacogenetics, Xiangya Hospital, Institute of Clinical Pharmacology, Central South University, Changsha, China; Hunan Key Laboratory for Bioanalysis of Complex Matrix Samples, Changsha Duxact Biotech Co., Ltd., Changsha, China
| | - Xinyi Huang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China; Hunan Key Laboratory of Pharmacogenetics, Xiangya Hospital, Institute of Clinical Pharmacology, Central South University, Changsha, China; Hunan Key Laboratory for Bioanalysis of Complex Matrix Samples, Changsha Duxact Biotech Co., Ltd., Changsha, China
| | - Wenyu Yang
- Department of Clinical Pharmacy and Pharmacy Administration, School of Pharmacy, Fudan University, Shanghai, China
| | - Lulu Chen
- Hunan Key Laboratory for Bioanalysis of Complex Matrix Samples, Changsha Duxact Biotech Co., Ltd., Changsha, China; Changsha Duxact Biotech Co., Ltd., Changsha, China; Department of Pharmacy, Affiliated hospital of Xiangnan University, Chenzhou, China
| | - Chao Li
- Hunan Key Laboratory for Bioanalysis of Complex Matrix Samples, Changsha Duxact Biotech Co., Ltd., Changsha, China; Changsha Duxact Biotech Co., Ltd., Changsha, China
| | - Qingfeng He
- Department of Clinical Pharmacy and Pharmacy Administration, School of Pharmacy, Fudan University, Shanghai, China
| | - Nuo Xu
- Department of Clinical Pharmacy and Pharmacy Administration, School of Pharmacy, Fudan University, Shanghai, China
| | - Xiao Zhu
- Department of Clinical Pharmacy and Pharmacy Administration, School of Pharmacy, Fudan University, Shanghai, China.
| | - Dongsheng Ouyang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China; Hunan Key Laboratory of Pharmacogenetics, Xiangya Hospital, Institute of Clinical Pharmacology, Central South University, Changsha, China; Hunan Key Laboratory for Bioanalysis of Complex Matrix Samples, Changsha Duxact Biotech Co., Ltd., Changsha, China; Changsha Duxact Biotech Co., Ltd., Changsha, China.
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Seshadri S, Morgan O, Moore A, Parmar S, Schnur J, Montgomery G, Henderson A, Laban J. Analysis of older adult blood pressure readings and hypertension treatment rates among the unsheltered population of Miami-Dade County. Aging Med (Milton) 2023; 6:320-327. [PMID: 38239717 PMCID: PMC10792314 DOI: 10.1002/agm2.12272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 09/30/2023] [Accepted: 10/07/2023] [Indexed: 01/22/2024] Open
Abstract
Objective To assess prevalence of elevated blood pressure readings, rates of established hypertension diagnosis, and blood pressure control medication prescription rates in a cohort of older people experiencing unsheltered homelessness presenting to a Street Medicine clinic in Miami-Dade County, Florida. In addition, we will compare outcomes found in the study cohort to that of the general population. Methods Demographic information, clinical history, blood pressure control medication prescription, and blood pressure measurements were taken by a Street Medicine team of medical providers. The team routinely provides medical evaluations and care for people experiencing unsheltered homelessness who reside in rough sleeper tent encampments located on the street. Clinical information and vitals were recorded in REDCap. De-identified data from patients 65 years and above were downloaded and compared to a general population data set-the Centers for Disease Control National Health and Nutrition Examination Survey (CDC NHANES) 2017-2020 Pre-pandemic cohort. Data analysis was performed using R Studio version 4.3.2. Results Blood pressure was reported in 120 distinct interactions with older people experiencing homelessness. Compared to the age-matched NHANES data, older people experiencing unsheltered homelessness were at significantly increased relative risk for elevated blood pressure within the range of Stage 1 Hypertension (RR: 3.914, 95% CI: 2.560-5.892, P < 0.001), and within range of Stage 2 Hypertension (RR: 5.550, 95% CI: 4.272-7.210, P < 0.001). According to NHANES, 49.6% of adults over 60 with diagnosed hypertension receive treatment. Of study participants, 69% of those with elevated blood pressure had previously received a diagnosis of hypertension and 15.9% on medication to control blood pressure. Conclusion Our cohort of older people experiencing unsheltered homelessness had higher rates of elevated blood pressure and reduced rates of hypertension diagnosis and treatment as compared to the general population. Older people experiencing unsheltered homelessness are a growing population, and future research should seek to evaluate and understand older adult care vulnerabilities, including chronic disease management, to improve health outcomes for those who are aging, hypertensive, and unhoused.
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Affiliation(s)
- Suhas Seshadri
- Department of Internal MedicineUniversity of Illinois ChicagoChicagoIllinoisUSA
| | - Orly Morgan
- Department of Internal MedicineUniversity of Miami Miller School of MedicineMiamiFloridaUSA
| | - Alana Moore
- Department of Internal MedicineUniversity of Miami Miller School of MedicineMiamiFloridaUSA
| | - Shivangi Parmar
- Department of Internal MedicineUniversity of Miami Miller School of MedicineMiamiFloridaUSA
| | - Julie Schnur
- Department of Population Health Science and PolicyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Guy Montgomery
- Department of Population Health Science and PolicyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Armen Henderson
- Department of Internal MedicineUniversity of Miami Miller School of MedicineMiamiFloridaUSA
| | - Joshua Laban
- Department of Internal MedicineUniversity of Miami Miller School of MedicineMiamiFloridaUSA
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Jones AL, Chu K, Rose DE, Gelberg L, Kertesz SG, Gordon AJ, Wells KB, Leung L. Quality of Depression Care for Veterans Affairs Primary Care Patients with Experiences of Homelessness. J Gen Intern Med 2023; 38:2436-2444. [PMID: 36810631 PMCID: PMC10465405 DOI: 10.1007/s11606-023-08077-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 01/30/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND Persons who experience homelessness (PEH) have high rates of depression and incur challenges accessing high-quality health care. Some Veterans Affairs (VA) facilities offer homeless-tailored primary care clinics, although such tailoring is not required, within or outside VA. Whether services tailoring enhances care for depression is unstudied. OBJECTIVE To determine whether PEH in homeless-tailored primary care settings receive higher quality of depression care, compared to PEH in usual VA primary care. DESIGN Retrospective cohort study of depression treatment among a regional cohort of VA primary care patients (2016-2019). PARTICIPANTS PEH diagnosed or treated for a depressive disorder. MAIN MEASURES The quality measures were timely follow-up care (3 + completed visits with a primary care or mental health specialist provider, or 3 + psychotherapy sessions) within 84 days of a positive PHQ-2 screen result, timely follow-up care within 180 days, and minimally appropriate treatment (4 + mental health visits, 3 + psychotherapy visits, 60 + days antidepressant) within 365 days. We applied multivariable mixed-effect logistic regressions to model differences in care quality for PEH in homeless-tailored versus usual primary care settings. KEY RESULTS Thirteen percent of PEH with depressive disorders received homeless-tailored primary care (n = 374), compared to usual VA primary care (n = 2469). Tailored clinics served more PEH who were Black, who were non-married, and who had low income, serious mental illness, and substance use disorders. Among all PEH, 48% received timely follow-up care within 84 days of depression screening, 67% within 180 days, and 83% received minimally appropriate treatment. Quality metric attainment was higher for PEH in homeless-tailored clinics, compared to PEH in usual VA primary care: follow-up within 84 days (63% versus 46%; adjusted odds ratio [AOR] = 1.61, p = .001), follow-up within 180 days (78% versus 66%; AOR = 1.51, p = .003), and minimally appropriate treatment (89% versus 82%; AOR = 1.58, p = .004). CONCLUSIONS Homeless-tailored primary care approaches may improve depression care for PEH.
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Affiliation(s)
- Audrey L Jones
- Informatics, Decision-Enhancement and Analytic Sciences (IDEAS) Center and Vulnerable Veteran Innovative Patient-Aligned Care Team (VIP) Initiative, VA Salt Lake City Health Care System, Salt Lake City, UT, 84148, USA.
- Program for Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA), Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.
| | - Karen Chu
- Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP) and Veterans Assessment and Improvement Laboratory (VAIL), VA Greater Los Angeles Health Care System, Los Angeles, CA, USA
| | - Danielle E Rose
- Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP) and Veterans Assessment and Improvement Laboratory (VAIL), VA Greater Los Angeles Health Care System, Los Angeles, CA, USA
| | - Lillian Gelberg
- Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP) and Veterans Assessment and Improvement Laboratory (VAIL), VA Greater Los Angeles Health Care System, Los Angeles, CA, USA
- David Geffen School of Medicine, University of California-Los Angeles (UCLA), Los Angeles, CA, USA
- UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Stefan G Kertesz
- Birmingham VA Health Care System, Birmingham, AL, USA
- Heersink University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA
| | - Adam J Gordon
- Informatics, Decision-Enhancement and Analytic Sciences (IDEAS) Center and Vulnerable Veteran Innovative Patient-Aligned Care Team (VIP) Initiative, VA Salt Lake City Health Care System, Salt Lake City, UT, 84148, USA
- Program for Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA), Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Kenneth B Wells
- Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP) and Veterans Assessment and Improvement Laboratory (VAIL), VA Greater Los Angeles Health Care System, Los Angeles, CA, USA
- David Geffen School of Medicine, University of California-Los Angeles (UCLA), Los Angeles, CA, USA
- UCLA Fielding School of Public Health, Los Angeles, CA, USA
- UCLA Center for Health Services and Society, Los Angeles, CA, USA
| | - Lucinda Leung
- Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP) and Veterans Assessment and Improvement Laboratory (VAIL), VA Greater Los Angeles Health Care System, Los Angeles, CA, USA
- David Geffen School of Medicine, University of California-Los Angeles (UCLA), Los Angeles, CA, USA
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