Race and Hepatitis C Care Continuum in an Underserved Birth Cohort.
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ABSTRACT:
SUBMITTER: Kim NJ
PROVIDER: S-EPMC6816604 | biostudies-literature | 2019 Oct
REPOSITORIES: biostudies-literature
Publications
Race and Hepatitis C Care Continuum in an Underserved Birth Cohort.
Kim Nicole J NJ Locke Cameron J CJ Park Helen H Magee Catherine C Bacchetti Peter P Khalili Mandana M
Journal of general internal medicine 20180920 10
<h4>Background</h4>Birth cohort screening is recommended for hepatitis C virus (HCV) and underserved populations are disproportionally affected by HCV. Little is known about the influence of race on the HCV care continuum in this population.<h4>Objective</h4>To assess the cascade of HCV care in a large racially diverse and underserved birth cohort.<h4>Design</h4>Retrospective cohort study using electronic medical record data abstracted until August 31, 2017.<h4>Patients</h4>34,810 patients born ...[more]
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Project description:BackgroundHepatitis C virus (HCV)-infected patients require a specific continuum of care (CoC) from HCV screening to treatment. We assessed CoC of HCV-infected patients in a longitudinal study.MethodsWe established a cohort of subjects undergoing HCV screening (high alanine aminotransferase levels or risk factors) during preventive consultations at a French regional medical center from 1993 to 2013. Patients were considered to be HCV-infected if HCV RNA was detected in their serum. CoC was assessed as described by Viner et al. (Hepatology 2015): Stage 1, HCV screening; Stage 2, HCV RNA testing; Stage 3, continuing care; Stage 4, antiviral treatment. Cox multivariate analysis was performed to identify factors favoring CoC, defined as at least one course of antiviral treatment.ResultsIn total, 12,993 HCV tests were performed and 478 outpatients were found to be HCV-seropositive. We included 417 seropositive patients, after excluding false positives and patients lost to follow-up. The baseline characteristics of the patients were: sex ratio (M/F) 1.4; mean age 38.5 years; intravenous drug use (IDU) in 55%; and 28% in unstable social situations, estimated by the EPICES deprivation score. Antiviral treatment was initiated for 179 (42.9%) of the 379 (90.9%) patients attending specialist consultations. CoC was associated with screening after 1997 (HR 2.0, 95%CI 1.4-2.9), age > 45 years (HR 1.5, 95%CI 1.02-2.3), patient acceptance of care (HR 9.3, 95%CI 5.4-16.10), specialist motivation for treatment (HR 10.9, 95%CI 7.4-16.0), and absence of cancer (HR 6.7, 95%CI 1.6-27.9). Other comorbid conditions, such as depression and IDU, were not associated with CoC.ConclusionsOur 20-year cohort study reveals the real-life continuum of care for HCV-infected patients in France. The number of patients involved in HCV care after positive testing was substantial due to the organization of healthcare in France. An improved CoC along with new direct-acting antivirals should help to decrease chronic HCV infection.
| S-EPMC5574535 | biostudies-literature
Project description:Hepatitis C virus (HCV) infection is a leading cause of liver-related morbidity and mortality, and more than 2 million adults in the United States are estimated to be currently infected. Reducing HCV burden will require an understanding of demographic disparities and targeted efforts to reduce prevalence in populations with disproportionate disease rates. We modeled state-level estimates of hepatitis C prevalence among U.S. adults by sex, birth cohort, and race during 2013-2016. National Health and Nutrition Examination Survey data were used in combination with state-level HCV-related and narcotic overdose-related mortality data from the National Vital Statistics System and estimates from external literature review on populations not sampled in the National Health and Nutrition Examination Survey. Nationally, estimated hepatitis C prevalence was 1.3% among males and 0.6% among females (prevalence ratio [PR] = 2.3). Among persons born during 1945 to 1969, prevalence was 1.6% compared with 0.5% among persons born after 1969 (PR = 3.2). Among persons born during 1945 to 1969, prevalence ranged from 0.7% in North Dakota to 3.6% in Oklahoma and 6.8% in the District of Columbia. Among persons born after 1969, prevalence was more than twice as high in Kentucky, New Mexico, Oklahoma, and West Virginia compared with the national average. Hepatitis C prevalence was 1.8% among non-Hispanic black persons and 0.8% among persons of other races (PR = 2.2), and the magnitude of this disparity varied widely across jurisdictions (PR range: 1.3-7.8). Overall, 23% of prevalent HCV infections occurred among non-Hispanic black persons, whereas 12% of the population was represented by this racial group. These estimates provide information on prevalent HCV infections that jurisdictions can use for understanding and monitoring local disease patterns and racial disparities in burden of disease.
| S-EPMC7049678 | biostudies-literature
Project description:All subjects were recruited at Centennial Women?s Hospital and the Perinatal Research Center in Nashville, TN beginning in 2003. Pregnant women were enrolled during their first clinical visit after obtaining informed consent as described previously. Demographic and clinical data specific to the fetus was collected from clinical records. Gestational age of the neonate was determined by maternal reporting of the last menstrual period and corroboration by ultrasound dating. Accurate knowledge of gestational age (GA) is essential for proper monitoring and care of neonates. However, accurate GA measures are often not available. DNA methylation has previously been shown to associate with GA, and has been used to accurately predict chronological age in adults. In the current study, we examine whether DNA methylation in cord blood can be used to predict gestational age at birth. Results: We found that GA can be accurately predicted from DNA methylation of neonatal cord blood and blood spot samples (DNAm GA), using 148 CpG sites selected through elastic net regression in six training datasets (N=207). We evaluated predictive accuracy in six testing datasets (N=1,202), and found that the accuracy of DNAm GA meets or exceeds accuracy of gestational age estimates based on established methods. We also found an increased DNAm GA, relative to clinical GA, was associated with increased birthweight percentile (p=.00057), adjusting for GA, sex, and ancestry, suggesting that DNAm GA could represent developmental age more accurately than clinical estimates of GA. Conclusions: Further development of this predictor could provide a method of accurate neonatal estimation of GA for use in resource-limited populations, or in cases where GA cannot be estimated clinically. When clinical estimates are available, the predictor can be used to test hypotheses related to developmental age and other early life circumstances, and may provide increased accuracy beyond clinical estimates.
2016-03-11 | GSE79056 | GEO
Project description:All subjects were recruited at Centennial Women?s Hospital and the Perinatal Research Center in Nashville, TN beginning in 2003. Pregnant women were enrolled during their first clinical visit after obtaining informed consent as described previously. Demographic and clinical data specific to the fetus was collected from clinical records. Gestational age of the neonate was determined by maternal reporting of the last menstrual period and corroboration by ultrasound dating. Accurate knowledge of gestational age (GA) is essential for proper monitoring and care of neonates. However, accurate GA measures are often not available. DNA methylation has previously been shown to associate with GA, and has been used to accurately predict chronological age in adults. In the current study, we examine whether DNA methylation in cord blood can be used to predict gestational age at birth. Results: We found that GA can be accurately predicted from DNA methylation of neonatal cord blood and blood spot samples (DNAm GA), using 148 CpG sites selected through elastic net regression in six training datasets (N=207). We evaluated predictive accuracy in six testing datasets (N=1,202), and found that the accuracy of DNAm GA meets or exceeds accuracy of gestational age estimates based on established methods. We also found an increased DNAm GA, relative to clinical GA, was associated with increased birthweight percentile (p=.00057), adjusting for GA, sex, and ancestry, suggesting that DNAm GA could represent developmental age more accurately than clinical estimates of GA. Conclusions: Further development of this predictor could provide a method of accurate neonatal estimation of GA for use in resource-limited populations, or in cases where GA cannot be estimated clinically. When clinical estimates are available, the predictor can be used to test hypotheses related to developmental age and other early life circumstances, and may provide increased accuracy beyond clinical estimates. 36 Umbilical cord blood samples were collected in EDTA tubes soon after placental delivery. Blood samples were centrifuged at 3,000 RPM to separate plasma, and buffy coats were aliquoted and stored at -80oC. DNA was extracted using the DNeasy Kit (Qiagen). DNA methylation was interrogated for each sample using the HumanMethylation450 BeadChip (Illumina).
2016-03-11 | E-GEOD-79056 | biostudies-arrayexpress
Project description:Objective:To determine the prevalence of and risk factors for advanced fibrosis in patients born from 1945 through 1965 (birth cohort) who underwent testing for hepatitis C virus (HCV). Patients and Methods:Data were extracted from the electronic health record of all patients receiving primary care at a single academic institution who underwent HCV testing between September 8, 2010, and March 5, 2018. The birth cohort patients were the primary focus of the study. Fibrosis 4 (FIB-4) and aspartate aminotransferase to platelet ratio index (APRI) scores were calculated to screen for fibrosis. Results:During the study period, 7097 birth cohort patients had HCV antibody testing, 3462 (48.8%) of whom were men, 6435 (91.0%) were white, 1028 (14.5%) had diabetes mellitus, 2,034 (36.5%) had an alanine aminotransferase (ALT) level greater than 30 U/L, and 2,396 (34.2%) had body mass index of 30 kg/m2 or greater. Hepatitis C virus antibody was present in 124 (1.7%), 33 (26.6%) of whom had HCV viremia. Estimated prevalence of METAVIR [Meta-analysis of Histological Data in Viral Hepatitis] stage 4 fibrosis was 4.1% (180 of 4433) by a FIB-4 score of 3.25 or greater and 4.3% (204 of 4763) by an APRI score greater than 1.0. The odds ratio (OR) for fibrosis, determined by APRI, was significant for HCV RNA positivity (OR, 15.98; 95% CI, 7.23-35.32; P<.001), diabetes mellitus (OR, 1.98; 95% CI, 1.40-2.79; P<.001), and ALT value greater than 30 U/L (OR, 15.07 U/L; 95% CI, 9.27-24.52 U/L; P<.001) but not for body mass index of 30 kg/m2 or greater (OR, 0.77; 95% CI, 0.56-1.06; P=.11). Conclusion:Hepatitis C virus viremia, diabetes mellitus, and elevated ALT levels were associated with increased odds for development of fibrosis. In addition to HCV testing, diabetes mellitus and elevated ALT level are potential parameters to use for recommending noninvasive testing for fibrosis.
| S-EPMC7411155 | biostudies-literature
Project description:In the United States, hepatitis C virus (HCV) infection is most prevalent among adults born from 1945 through 1965, and approximately 50% to 75% of infected adults are unaware of their infection.To estimate the cost-effectiveness of birth-cohort screening.Cost-effectiveness simulation.National Health and Nutrition Examination Survey, U.S. Census, Medicare reimbursement schedule, and published sources.Adults born from 1945 through 1965 with 1 or more visits to a primary care provider annually.Lifetime.Societal, health care.One-time antibody test of 1945-1965 birth cohort.Numbers of cases that were identified and treated and that achieved a sustained viral response; liver disease and death from HCV; medical and productivity costs; quality-adjusted life-years (QALYs); incremental cost-effectiveness ratio (ICER).Compared with the status quo, birth-cohort screening identified 808,580 additional cases of chronic HCV infection at a screening cost of $2874 per case identified. Assuming that birth-cohort screening was followed by pegylated interferon and ribavirin (PEG-IFN+R) for treated patients, screening increased QALYs by 348,800 and costs by $5.5 billion, for an ICER of $15,700 per QALY gained. Assuming that birth-cohort screening was followed by direct-acting antiviral plus PEG-IFN+R treatment for treated patients, screening increased QALYs by 532,200 and costs by $19.0 billion, for an ICER of $35,700 per QALY saved.The ICER of birth-cohort screening was most sensitive to sustained viral response of antiviral therapy, the cost of therapy, the discount rate, and the QALY losses assigned to disease states.Empirical data on screening and direct-acting antiviral treatment in real-world clinical settings are scarce.Birth-cohort screening for HCV in primary care settings was cost-effective.Division of Viral Hepatitis, Centers for Disease Control and Prevention.
| S-EPMC5484577 | biostudies-literature
Project description:BACKGROUND:In 2014, the Department of Veterans Affairs (VA) adopted a screening test policy for hepatitis C virus (HCV) in all "Baby Boomers" - those born between 1945 and 1965. About 1 in 12 Veterans were estimated to be infected with HCV yet approximately 34% of the birth cohort remained untested. Early HCV diagnosis and successful antiviral treatment decrease the risk of onward transmission, cirrhosis, hepatocellular carcinoma, liver transplant, and death. Implementing evidence-based HCV screening in primary care has great potential to reduce morbidity and mortality. To inform design and implementation of a quality improvement intervention, we studied primary care provider (PCP) perceptions of and experiences with HCV birth cohort testing. METHODS:We conducted a formative evaluation using qualitative semi-structured interviews guided by the integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework. Twenty-two PCPs in six states across a large integrated US healthcare system were interviewed. Content analysis with a priori and emergent codes was performed on verbatim interview transcripts. RESULTS:We identified three themes related to primary care provider HCV testing and linkage practices, as mapped to i-PARIHS constructs: 1) evaluating cues to HCV testing (innovation/evidence), 2) framing HCV testing decisions (recipients), and 3) HCV testing and linkage to care in the new treatment era (context). The most frequently reported HCV testing cue was an electronic clinical reminder alert, followed by clinical markers and the presence of behavioral risk factors. Most PCPs saw testing as routine, but less urgent, leading to some reluctance. Providers largely saw themselves as performing guideline-concordant testing, yet no performance data were available to assess performance. Given the recent availability of new HCV medications, many PCPs were highly motivated to test and link patients to specialty care for treatment. CONCLUSIONS:Our results suggest a multi-component intervention around awareness and education, feedback of performance data, clinical reminder updates, and leadership support, would address both a significant need, and be deemed acceptable and feasible to primary care providers.
| S-EPMC6480846 | biostudies-other
Project description:ObjectiveWe aimed to address deficiencies in structured electronic health record (EHR) data for race and ethnicity by identifying black and Hispanic patients from unstructured clinical notes and assessing differences between patients with or without structured race/ethnicity data.Materials and methodsUsing EHR notes for 16 665 patients with encounters at a primary care practice, we developed rule-based natural language processing (NLP) algorithms to classify patients as black/Hispanic. We evaluated performance of the method against an annotated gold standard, compared race and ethnicity between NLP-derived and structured EHR data, and compared characteristics of patients identified as black or Hispanic using only NLP vs patients identified as such only in structured EHR data.ResultsFor the sample of 16 665 patients, NLP identified 948 additional patients as black, a 26%increase, and 665 additional patients as Hispanic, a 20% increase. Compared with the patients identified as black or Hispanic in structured EHR data, patients identified as black or Hispanic via NLP only were older, more likely to be male, less likely to have commercial insurance, and more likely to have higher comorbidity.DiscussionStructured EHR data for race and ethnicity are subject to data quality issues. Supplementing structured EHR race data with NLP-derived race and ethnicity may allow researchers to better assess the demographic makeup of populations and draw more accurate conclusions about intergroup differences in health outcomes.ConclusionsBlack or Hispanic patients who are not documented as such in structured EHR race/ethnicity fields differ significantly from those who are. Relatively simple NLP can help address this limitation.
| S-EPMC6696506 | biostudies-literature
Project description:A recent international workshop, organized by the authors, analyzed the obstacles facing the ambitious goal of eliminating viral hepatitis globally. We identified several policy areas critical to reaching elimination targets. These include providing hepatitis B birth-dose vaccination to all infants within 24 hours of birth, preventing the transmission of blood-borne viruses through the expansion of national hemovigilance schemes, implementing the lessons learned from the HIV epidemic regarding safe medical practices to eliminate iatrogenic infection, adopting point-of-care testing to improve coverage of diagnosis, and providing free or affordable hepatitis C treatment to all. We introduce Egypt as a case study for rapid testing and treatment scale-up: this country offers valuable insights to policy makers internationally, not only regarding how hepatitis C interventions can be expeditiously scaled-up, but also as a guide for how to tackle the problems encountered with such ambitious testing and treatment programs.
| S-EPMC5767952 | biostudies-literature
Project description:Improving care and treatment for persons infected with hepatitis C virus (HCV) can reduce HCV-related morbidity and mortality. Our primary objective was to examine the HCV care continuum among patients receiving care at five federally qualified health centers (FQHCs) in Philadelphia, PA, where a testing and linkage to care program had been established. Among the five FQHCs, one served a homeless population, two served public housing residents, one served a majority Hispanic population, and the last, a "test and treat" site, also provided HCV treatment to patients. We analyzed data from electronic health records of patients tested for HCV antibody from 2012 to 2016 and calculated the percentage of patients across nine steps of the HCV care continuum ranging from diagnosis to cure. We further explored factors associated with successful patient navigation through two steps of the continuum using multivariable logistic regression. Of 885 chronically infected patients, 92.2% received their RNA-positive result, 82.7% were referred to an HCV provider, 69.4% were medically evaluated by the provider, 55.3% underwent liver disease staging, 15.0% initiated treatment, 12.0% completed treatment, 8.7% were assessed for sustained virologic response (SVR), and 8.0% achieved SVR. Regression results revealed that test and treat site patients were significantly more likely to be medically evaluated (adjusted odds ratio [aOR], 2.76; 95% confidence interval [CI], 1.82-4.17) and to undergo liver disease staging (aOR, 1.92; 95% CI, 1.02-2.86) than patients at the other FQHCs combined. Conclusion: In this US urban setting, over two thirds of HCV-infected patients were linked to care; although treatment uptake was low overall, it was highest at the test and treat site; scaling up treatment services in HCV testing settings will be vital to improve the HCV care continuum.
| S-EPMC6625928 | biostudies-literature