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1.
Am J Perinatol ; 38(S 01): e1-e13, 2021 08.
Article En | MEDLINE | ID: mdl-32323289

OBJECTIVE: The aim of this study was to systematically review the literature to summarize recent demographic characteristics of hepatitis C virus (HCV) infection during pregnancy and the efficacy of risk-based versus universal screening. STUDY DESIGN: PubMed, EMBASE, and Cochrane Library were searched to identify relevant studies. Studies that recognized hepatitis C as a primary or secondary outcome, with pregnant women as the population and written in English, were included. Studies were excluded if they were abstracts only, written in foreign language, or published prior to 1992. Two researchers independently screened all the studies by titles, abstracts, and full text. Conflicts were settled by a third researcher. RESULTS: A total of 698 studies were identified with 78 fitting inclusion criteria. In total, 69 epidemiologic and 9 comparison studies were found. Identified risk factors for HCV infection include intravenous or illicit drug use, sexually transmitted coinfection, high-risk behaviors in the partners, high parity, and history of miscarriages or abortions. Demographic characteristics associated with HCV include non-Hispanic white race, American Indian or Alaskan Native ethnicity, and increasing age. Providers may fail to adequately screen for each risk factor, and up to two-thirds of women with a known risk factor are not screened under current guidelines. Finally, up to 27% of HCV+ women have no identifiable risk factors for infection. CONCLUSION: There is evidence that risk-based screening fails to identify a large proportion of HCV positive women in pregnancy and that pregnant women with HCV risk factors and consistent with current screening guidelines fail to be tested. We urge for the adoption of universal screening to identify these women and offer treatment.


Hepatitis C , Mass Screening , Pregnancy Complications, Infectious , Female , Hepacivirus , Hepatitis C/diagnosis , Hepatitis C/ethnology , Humans , Missed Diagnosis , Parity , Pregnancy , Pregnancy Complications, Infectious/diagnosis , Pregnancy Complications, Infectious/ethnology , Risk Factors , Sexual Behavior , Substance-Related Disorders
2.
JACC CardioOncol ; 2(5): 747-754, 2020 Dec.
Article En | MEDLINE | ID: mdl-34396290

BACKGROUND: Atrial fibrillation (AF) is a common cardiovascular complication affecting patients with cancer, but management strategies are not well established. OBJECTIVES: The purpose of this retrospective cohort study was to evaluate cross-sectional patterns of anticoagulation (AC) use in patients with cancer with AF or atrial flutter (AFL) on the basis of their risk for stroke and bleeding. METHODS: Patients with cancer and electrocardiograms showing AF or AFL performed at Moffitt Cancer Center in either the inpatient or outpatient setting were included in this retrospective analysis. We described percentages of AC prescription by stroke and bleeding risk, as determined by individual CHA2DS2-VASc and HAS-BLED scores, respectively. Multivariable logistic regression evaluated clinical variables independently associated with anticoagulant prescription. RESULTS: The prevalence of electrocardiography-documented AF or AFL was 4.8% (n = 472). The mean CHA2DS2-VASc score was 2.8 ± 1.4. Among patients with CHA2DS2-VASc scores ≥2 and HAS-BLED scores <3, 44.3% did not receive AC, and of these, only 18.3% had platelet values <50,000/µl. In multivariable analysis, older age, hypertension, prior stroke, and history of venous thromboembolism were each directly associated with AC use, while current chemotherapy use, prior bleeding, renal disease, and thrombocytopenia were each inversely associated with AC use. CONCLUSIONS: Nearly one-half of patients with cancer, the majority with normal platelet counts, had an elevated risk for stroke but did not receive AC. In addition to known predictors, current chemotherapy use was independently associated with a lower odds of AC use. This study highlights the need to improve the application of AF treatment algorithms to cancer populations.

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