SummaryDistinguishing amoebic from pyogenic liver abscesses is crucial because their treatments and prognoses differ. We retrospectively reviewed the medical records of 577 adults with liver abscess in order to identify clinical, laboratory, and radiographic factors useful in differentiating these microbial aetiologies. Presumptive diagnoses of amoebic (n ¼ 471; 82%) vs. pyogenic (n ¼ 106; 18%) abscess were based upon amoebic serology, microbiological culture results, and response to therapy. Patients with amoebic abscess were more likely to be young males with a tender, solitary, right lobe abscess (P ¼ 0.012). Univariate analysis found patients with pyogenic abscess more likely to be over 50 years old, with a history of diabetes and jaundice, with pulmonary findings, multiple abscesses, amoebic serology titres <1:256 IU, and lower levels of serum albumin (P < 0.04). Multivariate logistic regression analysis confirmed that age >50 years, pulmonary findings on examination, multiple abscesses, and amebic serology titres <1:256 IU were predictive of pyogenic infection. Several clinical and laboratory parameters can aid in the differentiation of amebic and pyogenic liver abscess. In our setting, amebic abscess is more prevalent and, in most circumstances, can be identified and managed without percutaneous aspiration.keywords liver abscess, amoebic abscess, pyogenic
A goal of federal policy is to improve preventive health care for children. However, little is known about how adherence to recommendations by the American Academy of Pediatrics for well-child visits has changed over time. Using the 1996-2008 Medical Expenditure Panel Surveys, we examined trends in adherence and whether differences across population subgroups narrowed or widened over time. We found that the ratio of actual to recommended well-child visits rose from 46.3 percent during the 1996-98 time period to 58.9 percent during the 2007-08 time period. Although this increase in adherence is important, improvement occurred unevenly. We observed large differences in adherence at the start of the study period across income, race or ethnicity, parent education, region, insurance coverage, and having a usual source of care. None of these differences had narrowed significantly by the end of the study period. Indeed, differences widened across parent education, between those with and without insurance coverage, by usual source of care, and between the Northeast and the Midwest and West regions. Our results highlight the importance of provisions in the Affordable Care Act to expand coverage, strengthen incentives for preventive services, and improve the measurement of preventive services.
Our findings highlighted the opportunity of the ACA to not only to improve coverage, access, and use for all racial/ethnic groups, but also to narrow racial/ethnic disparities in these outcomes. Our results might have particular importance for states that are deciding whether to implement the ACA Medicaid expansions.
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