To study the pathogenesis of Mycobacterium avium complex (MAC) bacteremia, the extent of organ involvement was determined in a retrospective cohort of 44 AIDS patients with MAC bacteremia and complete autopsies between 1988 and 1992. Clinical and microbiologic histories were reviewed and lymph nodes, spleen, liver, bone marrow, small intestine, and colon from each autopsy were systematically evaluated for the presence of mycobacteria or foamy histiocytes. Of the patients, 30% had no histologic evidence of MAC. In the remaining 70%, reticuloendothelial and gastrointestinal involvement was most common, but the number and distribution of involved sites was highly variable. The risk of developing detectable histologic involvement was related to the duration of bacteremia. In contrast to the prevailing concept, our data suggest that MAC bacteremia may precede widespread tissue disease.
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Abstract Background The SARS-CoV-2 pandemic remains a major threat worldwide. Healthcare workers (HCWs) are particularly impacted by the COVID-19 pandemic with high infection rates reported from HCWs in hard-hit regions2,3, raising concerns about nosocomial infections and the effectiveness of personal protective equipment in protecting HCWs. Asymptomatic infection is estimated 17.9% to 33.3%4 and is a common source of transmission5. We designed a HCW testing program to address patient and employee concerns about exposures in the healthcare setting at our 808-bed health system. During the time of employee testing, the mean (range) number of inpatients with a diagnosis of COVID was 30 (22–38) of a mean (range) daily census of 560 (492–602) (approximately 5.4%). Methods This opt-in program offered SARS-CoV-2 testing of asymptomatic HCWs with paired nasopharyngeal or mid-turbinate swab for PCR (Roche) and serum IgG antibody testing (Diazyme). While initially designed as a pilot project in the Emergency Departments and COVID-19 units, it was quickly expanded to a health system-wide initiative. Results From April 22 to June 2, PCR testing was performed on 5826 asymptomatic HCWs with four PCR tests resulting positive (0.09%). Of 5589 serologic tests (anti-SARS-CoV-2 IgG) performed, 57 tested positive (1.02 %). All HCW with a positive IgG had a concurrent negative PCR. Conclusion In this cross-sectional evaluation, the point prevalence of SARS-CoV-2 IgG in asymptomatic HCWs at UC San Diego was less than 1%, supporting modeling estimations at the San Diego County level of very low levels of community exposure at the time of this testing. Further analyses of incidence rates and potential risk factors such as employee roles within the healthcare system, community and healthcare exposures, and home zip code are underway. Asymptomatic HCW testing is a strategy that can provide the perception of additional safety to both the workforce and patients as the health system reopens, while potentially reduce transmission from asymptomatic persons through active case finding and isolation. Disclosures Randy Taplitz, MD, Merck (Advisor or Review Panel member)
The development of opportunistic infections and the administration of vaccines have been associated with transient increases of human immunodeficiency virus (HIV) RNA plasma levels in HIV-infected patients. To determine the relationship between Mycobacterium avium complex (MAC) bacteremia and HIV RNA levels, HIV RNA levels in patients who developed MAC bacteremia (cases) were compared with levels in patients who remained free of MAC disease (controls). Cases and controls were matched for CD4 cell count, prophylaxis against MAC disease, antiretroviral therapy, and duration of follow-up. Mean baseline HIV RNA levels were 4.8 log10 copies/mL in cases and 4.6 log10 copies/mL in controls (P = 0.22). HIV RNA levels increased by a median of 0.4 log in cases but not controls at the time of MAC bacteremia (P = 0.01). In AIDS patients, the onset of MAC bacteremia is associated with a modest but significant increase in serum HIV RNA levels. Increased HIV replication may contribute to the higher mortality associated with MAC bacteremia.
We assessed the impact of health literacy and hepatitis C (HCV) knowledge on HCV treatment willingness among people living with HIV (PLWH) at an academic HIV clinic.Cross-sectional analysis of PLWH coinfected with HCV who completed health literacy, HIV literacy, and HCV knowledge inventories. We estimated the prevalence of low health literacy, HIV knowledge, and HCV knowledge sampled from 3-comparison groups: PLWH not referred for HCV, referred but who "not showed" to the HCV clinic, and referred and attended the HCV clinic. We used mixed-model linear and logistic regression to ascertain predictors of low health literacy, HIV knowledge, HCV knowledge, and predictors of willingness to start HCV treatment.We enrolled 151 PLWH; 17% were female, 38% non-White, and 60% without a high-school education. Approximately, 68% were men who have sex with men, of whom 62% used intravenous drugs. The prevalence of low health, HIV knowledge, and HCV knowledge was 10%, 32%, and 29%, respectively. Predictors of low health literacy were being Hispanic, cirrhotic, and not completing high-school education. Low HCV knowledge was observed in female, non-White, and those diagnosed with HCV for a decade. In adjusted analyses, PLWH living with HCV for a decade (OR: 0.23) were less likely to be very willing to be treated for HCV. By contrast, those with high HCV knowledge were more likely to be very willing to receive treatment (OR: 1.27).Low HCV knowledge and living with HCV for at least a decade are under-recognized negative predictors for PLWH's willingness to receive HCV treatment.ClinicaTrials.gov identifier: NCT20170991.
There is a pressing need for digital tools that can leverage big data to help clinicians select effective antibiotic treatments in the absence of timely susceptibility data. Clinical presentation and local epidemiology can inform therapy selection to balance the risk of antimicrobial resistance and patient risk. However, data and clinical expertise must be appropriately integrated into clinical workflows.The aim of this study is to leverage available data in electronic health records, to develop a data-driven, user-centered, clinical decision support system to navigate patient safety and population health.We analyzed 5 years of susceptibility testing (1,078,510 isolates) and patient data (30,761 patients) across a large academic medical center. After curating the data according to the Clinical and Laboratory Standards Institute guidelines, we analyzed and visualized the impact of risk factors on clinical outcomes. On the basis of this data-driven understanding, we developed a probabilistic algorithm that maps these data to individual cases and implemented iBiogram, a prototype digital empiric antimicrobial clinical decision support system, which we evaluated against actual prescribing outcomes.We determined patient-specific factors across syndromes and contexts and identified relevant local patterns of antimicrobial resistance by clinical syndrome. Mortality and length of stay differed significantly depending on these factors and could be used to generate heuristic targets for an acceptable risk of underprescription. Combined with the developed remaining risk algorithm, these factors can be used to inform clinicians' reasoning. A retrospective comparison of the iBiogram-suggested therapies versus the actual prescription by physicians showed similar performance for low-risk diseases such as urinary tract infections, whereas iBiogram recognized risk and recommended more appropriate coverage in high mortality conditions such as sepsis.The application of such data-driven, patient-centered tools may guide empirical prescription for clinicians to balance morbidity and mortality with antimicrobial stewardship.
Highlights The rates of PVC-BSI and CLABSI were comparable outside of the ICU setting. The risk of Staphylococcus aureus bacteremia was greater in PVC-BSI. An EMR-based PVC-BSI active surveillance program is achievable in most hospitals.
