Confirmed case of Zika virus congenital infection, Spain, March 2016.

We describe Zika virus (ZIKV) vertical transmission in an imported case in Spain, in a 17-week pregnant woman. ZIKV IgG, IgM and RNA were detected in serum in week 17. At 19 weeks, ultrasound scan revealed fetal malformations and ZIKV was detected in the amniotic fluid. Pregnancy was terminated at week 21; autopsy of the fetus revealed bilateral hydrocephalus, brain microcalcifications and arthrogryposis multiplex congenita. ZIKV was detected in the umbilical cord and brain tissue.

Viruses Previously Identified in Brazil as Belonging to HIV-1 CRF72_BF1 Represent Two Closely Related Circulating Recombinant Forms, One of Which, Designated CRF122_BF1, Is Also Circulating in Spain.

Circulating recombinant forms (CRFs) are important components of the HIV-1 pandemic. Those derived from recombination between subtype B and subsubtype F1, with 18 reported, most of them of South American origin, are among the most diverse. In this study, we identified a HIV-1 BF1 recombinant cluster that is expanding in Spain, transmitted mainly via heterosexual contact, which, analyzed in near full-length genomes in four viruses, exhibited a coincident BF1 mosaic structure, with 12 breakpoints, that fully coincided with that of two viruses (10BR_MG003 and 10BR_MG005) from Brazil, previously classified as CRF72_BF1. The three remaining Brazilian viruses (10BR_MG002, 10BR_MG004, and 10BR_MG008) previously identified as CRF72_BF1 exhibited mosaic structures highly similar, but not identical, to that of the Spanish viruses and to 10BR_MG003 and 10BR_MG005, with discrepant subtypes in two short genome segments, located in pol and gp120env. Based on these results, we propose that the five viruses from Brazil previously identified as CRF72_BF1 actually belong to two closely related CRFs, one comprising 10BR_MG002, 10BR_MG004, and 10BR_MG008, which keep their CRF72_BF1 designation, and the other, designated CRF122_BF1, comprising 10BR_MG003, 10BR_MG005, and the viruses of the identified Spanish cluster. Three other BF1 recombinant genomes, two from Brazil and one from Italy, previously identified as unique recombinant forms, were classified as CRF72_BF1. CRF122_BF1, but not CRF72_BF1, was associated with protease L89M substitution, which was reported to contribute to antiretroviral drug resistance. Phylodynamic analyses estimate the emergence of CRF122_BF1 in Brazil around 1987. Given their close phylogenetic relationship and similar structures, the grouping of CRF72_BF1 and CRF122_BF1 in a CRF family is proposed.

Generalized implementation of reflex testing of hepatitis C in Galicia: Results for reflection.

INTRODUCTION: The implementation of reflex testing of active hepatitis C virus (HCV) infection, together with the incorporation of informative alerts in the reports, has shown that it significantly reduces the number of patients who were not referred for therapeutic evaluation. METHODS: Since the implementation in 2018 of the DUSP in the Microbiology Services of the Galician Health Service hospitals (SERGAS), new diagnoses of active HCV infection have been retrospectively identified and characterized. RESULTS: In 2018, a total of 258 patients with unknown active HCV infection (70,2% men, middle age 52 years) were identified through by reflex testing from consultations of primary and specialized care units in 54.8% and 39.8% respectively, as well as from other locations by 5.4%. Of the 258 patients, 81.0% were referred for therapeutic evaluation, with a median of 54 days from their diagnosis. In 58.3% of the cases the reflex testing was determined by viral load, the predominant genotype was 1a (30,7%) and 52,1% were treated, observing sustained viral response (SVR) in 93.7 % of these. CONCLUSION: The generalized implementation of the HCV reflex testing together with informative alerts in Galicia has allowed us to obtain referral rates for treatment similar to those obtained in other studies. However, there is a wide variability between the different centers that require the incorporation of improvements, such as training or the use of rescue measures for optimization.

Clinical, laboratory data and inflammatory biomarkers at baseline as early discharge predictors in hospitalized SARS-CoV-2 infected patients.

BACKGROUND: The SARS-CoV-2 pandemic has overwhelmed hospital services due to the rapid transmission of the virus and its severity in a high percentage of cases. Having tools to predict which patients can be safely early discharged would help to improve this situation. METHODS: Patients confirmed as SARS-CoV-2 infection from four Spanish hospitals. Clinical, demographic, laboratory data and plasma samples were collected at admission. The patients were classified into mild and severe/critical groups according to 4-point ordinal categories based on oxygen therapy requirements. Logistic regression models were performed in mild patients with only clinical and routine laboratory parameters and adding plasma pro-inflammatory cytokine levels to predict both early discharge and worsening. RESULTS: 333 patients were included. At admission, 307 patients were classified as mild patients. Age, oxygen saturation, Lactate Dehydrogenase, D-dimers, neutrophil-lymphocyte ratio (NLR), and oral corticosteroids treatment were predictors of early discharge (area under curve (AUC), 0.786; sensitivity (SE) 68.5%; specificity (S), 74.5%; positive predictive value (PPV), 74.4%; and negative predictive value (NPV), 68.9%). When cytokines were included, lower interferon-γ-inducible protein 10 and higher Interleukin 1 beta levels were associated with early discharge (AUC, 0.819; SE, 91.7%; S, 56.6%; PPV, 69.3%; and NPV, 86.5%). The model to predict worsening included male sex, oxygen saturation, no corticosteroids treatment, C-reactive protein and Nod-like receptor as independent factors (AUC, 0.903; SE, 97.1%; S, 68.8%; PPV, 30.4%; and NPV, 99.4%). The model was slightly improved by including the determinations of interleukine-8, Macrophage inflammatory protein-1 beta and soluble IL-2Rα (CD25) (AUC, 0.952; SE, 97.1%; S, 98.1%; PPV, 82.7%; and NPV, 99.6%). CONCLUSIONS: Clinical and routine laboratory data at admission strongly predict non-worsening during the first two weeks; therefore, these variables could help identify those patients who do not need a long hospitalization and improve hospital overcrowding. Determination of pro-inflammatory cytokines moderately improves these predictive capacities.

Generalized implementation of reflex testing of hepatitis C in Galicia: Results for reflection. / Implementación generalizada del diagnóstico en un solo paso (DUSP) de la hepatitis C en Galicia: resultados para la reflexión.

INTRODUCTION: The implementation of reflex testing of active hepatitis C virus (HCV) infection, together with the incorporation of informative alerts in the reports, has shown that it significantly reduces the number of patients who were not referred for therapeutic evaluation. METHODS: Since the implementation in 2018 of the DUSP in the microbiology services of the Galician Health Service hospitals (SERGAS), new diagnoses of active HCV infection have been retrospectively identified and characterized. RESULTS: In 2018, a total of 258 patients with unknown active HCV infection (70,2% men, middle age 52 years) were identified through by reflex testing from consultations of primary and specialized care units in 54.8% and 39.8% respectively, as well as from other locations by 5.4%. Of the 258 patients, 81.0% were referred for therapeutic evaluation, with a median of 54 days from their diagnosis. In 58.3% of the cases the reflex testing was determined by viral load, the predominant genotype was 1a (30,7%) and 52,1% were treated, observing sustained viral response in 93.7% of these. CONCLUSION: The generalized implementation of the HCV reflex testing together with informative alerts in Galicia has allowed us to obtain referral rates for treatment similar to those obtained in other studies. However, there is a wide variability between the different centers that require the incorporation of improvements, such as training or the use of rescue measures for optimization.