The detection of SARS‐CoV‐2 in the saliva of patients with coronavirus disease (COVID‐19) has made this biological fluid relevant in terms of the diagnosis and transmission of the infection (To et al, 2020a; Azzi et al, 2020a). As a result, the dental clinic is considered an environment of risk for dental healthcare personnel and their patients, particularly due to the potential transmission of the virus through droplets and aerosols (Peng et al, 2020).

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.

We have evaluated a matrix‐assisted laser desorption ionization–time of flight mass spectrometry (MALDI‐TOF MS) method for the identification of carbapenemases and for distinguishing metallo‐β‐lactamases (MBLs). A total of 49 noncarbapenemase‐producing and 14 carbapenemase‐producing Enterobacteriaceae and Pseudomonas aeruginosa clinical strains, previously characterized by PCR, were included in the study. With MALDI‐TOF MS, the presence of carbapenemases was confirmed by the detection of ertapenem hydrolysis (lost of molecular peaks: 476·5 Da, 498·5 Da, 520·5 Da and presence of degradation products) in the mixture of the bacteria with the antibiotic, and classification was achieved by selective inhibition of carbapenemase activity (the ertapenem molecular peak was maintained) with ethylenediaminetetraacetic acid (EDTA). We obtained a good concordance among the results of PCR and MALDI‐TOF MS. This method appears to be simple, fast and reliable for distinguishing in few hours different classes of carbapenemases, which can be very useful for epidemiological studies or to establish a specific antimicrobial therapy. Significance and Impact of the Study MALDI‐TOF mass spectrometry is increasingly present in microbiology laboratories due to its increasing use for bacterial identification. This study describes a method for detection of carbapenemase activity using MALDI‐TOF, which is similar to the reference method: the detection of imipenem hydrolysis using UV spectrometry.

To report a clonal outbreak of ST17 vancomycin-resistant Enterococcus faecium (VREfm) carrying Tn1546 (vanA) in a haemo-oncology ward of a tertiary teaching hospital in the south of Spain (January–September 2009). Twenty-two VREfm strains from 13 patients were characterized by PFGE, multiple-locus variable-number tandem-repeat analysis (MLVA) and multilocus sequence typing (MLST). Genes encoding antibiotic resistance and putative virulence traits and the Tn1546 backbone were investigated by PCR. Plasmid characterization included determination of size (S1-PFGE) and replication modules (PCR, hybridization and sequencing). Patient clinical records were analysed retrospectively. A single ST17 E. faecium clone (MT-7 MLVA type) carrying esp and hyl plus a 30 kb Inc18-like::Tn1546 (IS1216) plasmid was identified. Ampicillin resistance was linked to PBP5 showing mutations at positions 24, 27, 34, 66, 68, 85, 100, 144, 172, 177, 204, 216, 324, 462, 466′, 470, 485, 496, 499, 525, 546, 558, 582, 586, 629, 632, 642 and 667. Other resistance genes identified were erm(B), ant(6′)-Ia and aph(3′)-IIIa. Fluoroquinolone resistance was attributable to ParC (Arg-61 → Gly and Ser-80 → Arg) and GyrA (Ser-83 → Arg) mutations. A nosocomial outbreak caused by an ST17 (CC17) E. faecium clone harbouring Esp and Hyl and a 30 kb Inc18-like::Tn1546 plasmid among haemo-oncology patients is reported. The failure of early infection control practices indicates an undetected reservoir and the ability of this strain to persist over long periods. The potential spread of epidemic clones and broad host plasmids carrying vancomycin resistance in Spain is of concern since it might contribute towards a higher rate of VREfm infection.

Viral and host immune kinetics during acute COVID-19 and after remission of acute symptoms need better characterization. SARS-CoV-2 RNA, anti-SARS-CoV-2 IgA, IgM, and IgG antibodies, and proinflammatory cytokines were measured in sequential samples from hospitalized COVID-19 patients during acute infection and six months following diagnosis. Twenty four laboratory confirmed COVID-19 patients with mild/moderate and severe COVID-19 were included. Most were males (83%) with a median age of 61 years. Twenty one percent were admitted to the intensive care unit (ICU) and eight of them (33.3%) met the criteria for severe COVID-19 disease. A delay in SARS-CoV-2 levels’ decline during the first six days of follow up, and viral load persistence until month 3 were related to severe COVID-19, but not viral load levels at the diagnosis. Higher levels of anti-SARS-CoV-2 IgA, IgM, IgG and the cytokines IL-6, IL-8 and MIP-1β at the diagnosis time were related to the severe COVID-19 outcome. Higher levels of MIP-1β, IL-1β, MIP-1α and IFN-γ were observed at month 1 and 3 during mild/moderate disease, compared to severe COVID-19. IgG persisted at low levels after six months of diagnosis. In conclusion, higher concentrations of IgA, IgM, and IgG, and IL-6, IL-8 and MIP-1β are identified as early predictors of COVID-19 severity, whereas no significant association is found between baseline SARS-COV-2 viral load and COVID-19 severity.