Infection with chikungunya virus confers heterotypic cross-neutralizing antibodies and memory B-cells against other arthritogenic alphaviruses predominantly through the B domain of the E2 glycoprotein.

Infections with Chikungunya virus, a mosquito-borne alphavirus, cause an acute febrile syndrome often followed by chronic arthritis that persists for months to years post-infection. Neutralizing antibodies are the primary immune correlate of protection elicited by infection, and the major goal of vaccinations in development. Using convalescent blood samples collected from both endemic and non-endemic human subjects at multiple timepoints following suspected or confirmed chikungunya infection, we identified antibodies with broad neutralizing properties against other alphaviruses within the Semliki Forest complex. Cross-neutralization generally did not extend to the Venezuelan Equine Encephalitis virus (VEEV) complex, although some subjects had low levels of VEEV-neutralizing antibodies. This suggests that broadly neutralizing antibodies elicited following natural infection are largely complex restricted. In addition to serology, we also performed memory B-cell analysis, finding chikungunya-specific memory B-cells in all subjects in this study as remotely as 24 years post-infection. We functionally assessed the ability of memory B-cell derived antibodies to bind to chikungunya virus, and related Mayaro virus, as well as the highly conserved B domain of the E2 glycoprotein thought to contribute to cross-reactivity between related Old-World alphaviruses. To specifically assess the role of the E2 B domain in cross-neutralization, we depleted Mayaro and Chikungunya virus E2 B domain specific antibodies from convalescent sera, finding E2B depletion significantly decreases Mayaro virus specific cross-neutralizing antibody titers with no significant effect on chikungunya virus neutralization, indicating that the E2 B domain is a key target of cross-neutralizing and potentially cross-protective neutralizing antibodies.

Insufficient PrEParation: an assessment of primary care prescribing habits and use of pre-exposure prophylaxis in patients at risk of HIV acquisition at a single medical centre.

OBJECTIVES: To assess HIV pre-exposure prophylaxis (PrEP) prescribing habits by primary care providers and the number of patients at risk of HIV acquisition at a single medical centre in the Northwestern USA from 1 July 2018 to 31 June 2020. METHODS: An electronic cross-sectional survey was administered in April and May 2021 to providers in family medicine, internal medicine, adolescent and young adult health, student health and women's health clinics affiliated with the medical centre with questions pertaining to PrEP prescribing practices. Electronic medical record abstraction was used to quantify the number of eligible patients who sought care in primary care departments and the adherence to PrEP initiation guidelines from 1 July 2018 to 31 June 2020. RESULTS: 74% (61/82) of providers reported familiarity with national clinical practice guidelines for the prevention of HIV infection. 50% (41/82) of respondents were located in family medicine clinics. 57% (47/82) of providers counseled less than one-quarter of those who they identified as at risk of HIV infection. The major barriers to prescribing PrEP were insufficient time and lack of familiarity with guidelines. Of the 4330 eligible patients for PrEP, 8% (337/4330) received at least one PrEP prescription during the study period. For patients newly prescribed PrEP, only 23% (39/170) had appropriate counseling and labs at initiation. The top three qualifying indications for PrEP were identifying as transgender (36%, n=1562), high-risk sexual behaviour (32%, n=1405) and injection drug use (30%, n=1289). CONCLUSIONS: This study highlights intervention points in the HIV prevention cascade warranting attention in order to achieve the 2025 Ending the HIV Epidemic in the U.S. target for PrEP coverage. These include increasing provider adherence to prescribing guidelines and reducing the logistical barriers to prescribing.

Recommendations from the association for professionals in infection control and epidemiology health inequalities & disparities task force.

In June 2021, a task force commissioned by the Board of Directors of the Association for Professionals in Infection Prevention and Epidemiology (APIC) evaluated the landscape of health inequity and health disparities as they apply to infection prevention in health care settings. This task force, consisting of infection preventionists across the country, convened to evaluate current literature, identify relevant issues and make recommendations to the APIC Board of Directors for action steps to be taken.

Risk of Cardiovascular Events After COVID-19.

We aimed to determine absolute and relative risks of either symptomatic or asymptomatic SARS-CoV-2 infection for late cardiovascular (CV) events and all-cause mortality. We conducted a retrospective double cohort study of patients with either symptomatic or asymptomatic SARS-CoV-2 infection (COVID-19+ cohort) and its documented absence (COVID-19- cohort). The study investigators drew a simple random sample of records from all patients under the Oregon Health & Science University Healthcare (n = 65,585), with available COVID-19 test results, performed March 1, 2020 to September 13, 2020. Exclusion criteria were age <18 years and no established Oregon Health & Science University care. The primary outcome was a composite of CV morbidity and mortality. All-cause mortality was the secondary outcome. The study population included 1,355 patients (mean age 48.7 ± 20.5 years; 770 women [57%], 977 White non-Hispanic [72%]; 1,072 ensured [79%]; 563 with CV disease history [42%]). During a median 6 months at risk, the primary composite outcome was observed in 38 of 319 patients who were COVID-19+ (12%) and 65 of 1,036 patients who were COVID-19- (6%). In the Cox regression, adjusted for demographics, health insurance, and reason for COVID-19 testing, SARS-CoV-2 infection was associated with the risk for primary composite outcome (hazard ratio 1.71, 95% confidence interval 1.06 to 2.78, p = 0.029). Inverse probability-weighted estimation, conditioned for 31 covariates, showed that for every patient who was COVID-19+, the average time to all-cause death was 65.5 days less than when all these patients were COVID-19-: average treatment effect on the treated -65.5 (95% confidence interval -125.4 to -5.61) days, p = 0.032. In conclusion, either symptomatic or asymptomatic SARS-CoV-2 infection is associated with an increased risk for late CV outcomes and has a causal effect on all-cause mortality in a late post-COVID-19 period.

Case Report: Yellow Fever Vaccine-Associated Neurotropic Disease and Associated MRI, EEG, and CSF Findings.

Yellow fever vaccine-associated neurotropic disease (YEL-AND) is a rare and serious complication following vaccination with the 17D live attenuated yellow fever vaccine. Cases of YEL-AND have presented as acute inflammatory demyelinating polyneuropathy, acute disseminated encephalomyelitis, and meningoencephalitis. To date, intracranial imaging of the progression and resolution of this disease has been minimally depicted in the literature. We present the case of a 67-year-old woman who developed YEL-AND following vaccination. Her diagnosis was complicated by imaging findings consistent with variant Creutzfeldt Jakob Disease. Her clinical history and the progression of her intracranial imaging is discussed in this case report.

Impact of a Clostridioides Difficile Testing Computerized Clinical Decision Support Tool on an Adult Stem Cell Transplantation and Hematologic Malignancies Unit.

Clostridioides difficile infection rates are higher in hospitalized hematopoietic stem cell transplantation (HSCT) recipients and patients with hematologic malignancy (HM) compared with the general population. This is related both to extensive exposure to antibiotics as well as to frequent and often prolonged hospitalization. In this population, with numerous potential causes of diarrhea, a subset of C difficile detected is presumed to represent colonization rather than clinical infection. The use of decision support tools to guide ordering in hospitalized patients has been reported to decrease both C difficile testing and detection rates. Following implementation of a computerized decision support tool on our HSCT/HM unit, we observed a >2-fold decrease in C difficile testing volume and National Healthcare Safety Network-defined laboratory identifications of C difficile. Furthermore, the rate of oral vancomycin use, as well as the incidence of vancomycin-resistant enterococci colonization and bloodstream infection, decreased in the postintervention period.

Clinical Symptoms of Dengue Infection among Patients from a Non-Endemic Area and Potential for a Predictive Model: A Multiple Logistic Regression Analysis and Decision Tree.

Under-recognition of dengue infection may lead to increased morbidity and mortality, whereas early detection is shown to help improve patient outcomes. Recent incidence and outbreak reports of dengue virus in the United States and other temperate regions where dengue was not typically seen have raised concerns regarding appropriate diagnosis and management by healthcare providers unfamiliar with the disease. This study aimed to describe self-reported clinical symptoms of dengue fever in a non-endemic cohort and to establish a clinically useful predictive algorithm based on presenting features that can assist in the early evaluation of potential dengue infection. Volunteers who experienced febrile illness while traveling in dengue-endemic countries were recruited for this study. History of illness and blood samples were collected at enrollment. Participants were classified as dengue naive or dengue exposed based on neutralizing antibody titers. Statistical analysis was performed to compare characteristics between the two groups. A regression model including joint/muscle/bone pain, rash, dyspnea, and rhinorrhea predicts dengue infection with 78% sensitivity, 63% specificity, 80% positive predictive value, and 61% negative predictive value. A decision tree model including joint/muscle/bone pain, dyspnea, and rash yields 77% sensitivity and 67% specificity. Diagnosis of dengue fever is challenging because of the nonspecific nature of clinical presentation. A sensitive predicting model can be helpful to triage suspected dengue infection in the non-endemic setting, but specificity requires additional testing including laboratory evaluation.

Potency and breadth of human primary ZIKV immune sera shows that Zika viruses cluster antigenically as a single serotype.

Zika virus (ZIKV) emerged as a global public health threat throughout the Americas since 2014. Phylogenetically, the virus is composed of three main lineages, an African, Asian, and American lineage. The recent emergence and spread of ZIKV has raised questions regarding the breadth and potency of human primary ZIKV immune sera against antigenically diverse ZIKV. Although ZIKV is thought to compose a single antigenic serotype, in-depth evaluation of the antigenic relatedness of ZIKV across genetic variants has been limited to a relatively small series of early convalescent human immune sera (4-12 weeks) against a limited number (3) of genetic variants. Using virus neutralization assays, we characterize the potency and breadth of twelve primary ZIKV immune sera from adults infected 5 to 38 months previously against a panel of 11 ZIKV isolates from the African, Asian and American lineages. We assess the variability of neutralization potency of immune sera from these subjects and the variability of susceptibility to neutralization for each virus isolate. Overall, we found all sera neutralized all viruses at FRNT50 ranging from 1:271 to 1:4271, a 15.8-fold range, with only small differences between subject geometric mean titers (GMT) against all viruses and small differences between each ZIKV isolate and sensitivity to neutralization by all sera: when pooled, African strains were 1.3-fold more sensitive to neutralization by subject immune sera compared to pooled American strains. Finally, we subjected our data to analysis using antigenic cartography, finding that ZIKV are highly antigenically similar, with only a ~4-fold range across all antigenic distances between viruses, consistent with a single serotype.

Persistence of Neutralizing Antibody Responses Among Yellow Fever Virus 17D Vaccinees Living in a Nonendemic Setting.

BACKGROUND: The once-in-a-lifetime recommendation for vaccination against yellow fever virus (YFV) has been controversial, leading to increased scrutiny of the durability of immunity after 17D vaccination. METHODS: This is a cross-sectional analysis of 17D vaccinees living in nonendemic Portland, Oregon. Neutralization assays were used to determine YFV immunity. The relationships between 17D immunity and vaccination history, demographics, and travel were evaluated using nominal logistic regression. RESULTS: Seventy-one of 92 (77.2%) subjects were YFV seropositive (90 percent plaque reduction neutralization test ≥1:10) at all timepoints, and 24 of 38 (63.8%) were YFV seropositive at ≥10 years after single-dose vaccination. No relationship was found between YFV immunity and time in endemic countries, other flavivirus immunity, or demographics. Subjects were most likely to become seronegative between 3 and 12 years postvaccination (logistic regression, odds ratio [OR] = 1.75; 95% confidence interval [CI], 1.12-2.73). A comparison of our results and 4 previous studies of YFV nonendemic vaccinees found that overall, 79% (95% CI, 70%-86%) of vaccinees are likely to be seropositive ≥10 years postvaccination. CONCLUSIONS: These results suggest that 1 in 5 17D vaccinees will lack neutralizing antibodies at ~10 years postvaccination, and a booster vaccination should be considered for nonendemic vaccinees before travel to regions where there is a high risk of YFV transmission.

Spatiotemporal Heterogeneity in the Distribution of Chikungunya and Zika Virus Case Incidences during their 2014 to 2016 Epidemics in Barranquilla, Colombia.

Chikungunya virus (CHIKV) and Zika virus (ZIKV) have recently emerged as globally important infections. This study aimed to explore the spatiotemporal heterogeneity in the occurrence of CHIKV and ZIKV outbreaks throughout the major international seaport city of Barranquilla, Colombia in 2014 and 2016 and the potential for clustering. Incidence data were fitted using multiple Bayesian Poisson models based on multiple explanatory variables as potential risk factors identified from other studies and options for random effects. A best fit model was used to analyse their case incidence risks and identify any risk factors during their epidemics. Neighbourhoods in the northern region were hotspots for both CHIKV and ZIKV outbreaks. Additional hotspots occurred in the southwestern and some eastern/southeastern areas during their outbreaks containing part of, or immediately adjacent to, the major circular city road with its import/export cargo warehouses and harbour area. Multivariate conditional autoregressive models strongly identified higher socioeconomic strata and living in a neighbourhood near a major road as risk factors for ZIKV case incidences. These findings will help to appropriately focus vector control efforts but also challenge the belief that these infections are driven by social vulnerability and merit further study both in Barranquilla and throughout the world's tropical and subtropical regions.