We sought to examine the impact of asymptomatic bacteriuria on renal transplant outcome by retrospectively analyzing 189 renal transplant recipients for whom systematic screening uncovered 298 episodes of asymptomatic bacteriuria in 96 recipients. These patients were treated and all were followed for 36 months. Significant risk factors included female gender, glomerulonephritis as the disease that led to transplantation, and double renal transplant. There were no differences in serum creatinine, creatinine clearance, or proteinuria between patients with and without bacteriuria. The incidence of pyelonephritis in these patients was 7.6 episodes per 100 patient-years compared with 1.07 in those without asymptomatic bacteriuria. Between two to five and more than five bacteriuria episodes were significant independent factors associated with pyelonephritis whereas more than five episodes was a significant independent factor associated with rejection. Thus, we found no differences in renal function prognosis between patients who do not develop asymptomatic bacteriuria and those uncovered by systematic screening and who received treatment following kidney transplantation. Despite this treatment, the incidence of pyelonephritis was much higher in the group of patients with detected asymptomatic bacteriuria.

Background. The influence of acute graft pyelonephritis (AGPN) on graft outcome in renal transplant recipients still remains controversial. Methods. We retrospectively analysed 189 patients (113 males; mean age: 49.7 ± 13.1 years) undergoing renal transplantation at the University Hospital 12 de Octubre (Madrid, Spain) from January 2002 to December 2004, with a minimum follow-up of 36 months. Factors associated with AGPN were assessed by logistic regression analysis. Long-term graft function was compared according to the occurrence of this complication during follow-up. ‘Decline in renal graft function’ was defined as the increase in serum creatinine (SC) levels > 0.33 mg/dL between Month 3 and Year 1 after transplantation. Results. Nineteen patients (10.0%) were diagnosed with 25 episodes of AGPN (incidence rate: 4.4 episodes per 100 patient-years). The presence of glomerulonephritis as the underlying disease [odds ratio (OR) 4.2; 95% confidence interval (95%CI): 1.3–14.1] and the previous occurrence of two to five (OR 9.4; 95%CI: 1.5–56.8) or more than five episodes of asymptomatic bacteriuria after transplantation (OR 19.8; 95%CI: 2.4–160.2) emerged as independent predictors for AGPN. A near-significant association was found for cytomegalovirus infection (OR 4.2; 95%CI: 0.9–18.4), whereas receiving a single-kidney transplant (vs. double-kidney) showed a protective effect (OR 0.2; 95%CI: 0.0–0.8). During the 36-month follow-up, levels of SC, creatinine clearance and 24-h proteinuria did not differ significantly between patients with or without AGPN, and this complication did not exert any effect on the risk for decline in renal graft function. Conclusions. AGPN does not impair long-term graft function in renal transplant recipients.

An early analysis of circulating monocytes may be critical for predicting COVID-19 course and its sequelae. In 131 untreated, acute COVID-19 patients at emergency room arrival, monocytes showed decreased surface molecule expression, including low HLA-DR, in association with an inflammatory cytokine status and limited anti-SARS-CoV-2-specific T cell response. Most of these alterations had normalized in post-COVID-19 patients 6 months after discharge. Acute COVID-19 monocytes transcriptome showed upregulation of anti-inflammatory tissue repair genes such as BCL6, AREG and IL-10 and increased accessibility of chromatin. Some of these transcriptomic and epigenetic features still remained in post-COVID-19 monocytes. Importantly, a poorer expression of surface molecules and low IRF1 gene transcription in circulating monocytes at admission defined a COVID-19 patient group with impaired SARS-CoV-2-specific T cell response and increased risk of requiring intensive care or dying. An early analysis of monocytes may be useful for COVID-19 patient stratification and for designing innate immunity-focused therapies.

The clinical burden of influenza is increasing worldwide. Aging, immunosuppression, and underlying respiratory illness are determinants of poor clinical outcomes, including greater mortality. Bacterial infections seem to be the main reason. Updated information on the role of bacterial infection as the cause of complications would be of value in improving the prognosis of patients with influenza. A systematic review and meta-analysis were performed by using the PubMed repository using keywords like: Influenza, H1N1, Streptococcus pneumoniae, bacterial coinfection, secondary coinfection, bacterial complications in pneumonia, and seasonal influenza. Only articles written in English were included in publications from 2010 to 2020. The analyses were conducted following the preferred reporting items for systematic review and meta-analyses guidelines. The results were independently validated using a TrinetX database cohort of roughly 4 million patients. We included 135 studies that contained data from 48,259 patients hospitalized with influenza of any age. Bacterial infections were diagnosed in 5391 (11.2%). Streptococcus pneumoniae (30.7%) and Staphylococcus aureus (30.4%) were the most frequent microorganisms, followed by Haemophilus influenzae (7.1%) and Pseudomonas aeruginosa (5.9%). The random-effects model of the meta-analysis indicated that bacterial infections posed a 3.4-fold increased risk of death compared with influenza infection alone. Unexpectedly, asthma was protective (odds ratio 0.8). Bacterial infections diagnosed in 11.2% of patients with influenza increase 3.4-fold the mortality risk. S. pneumoniae, S. aureus, H. influenzae, and P. aeruginosa account for nearly 75% of the cases. Earlier diagnosis and use of antibiotics should improve outcomes in this population.

The Th1/Th2 balance plays a crucial role in the progression of different pathologies and is a determining factor in the evolution of infectious diseases. This work has aimed to evaluate the early, or on diagnosis, T-cell compartment response, T-helper subsets and anti-SARS-CoV-2 antibody specificity in COVID-19 patients and to classify them according to evolution based on infection severity. A unicenter, randomized group of 146 COVID-19 patients was divided into four groups in accordance with the most critical events during the course of disease. The immunophenotype and T-helper subsets were analyzed by flow cytometry. Asymptomatic SARS-CoV-2 infected individuals showed a potent and robust Th1 immunity, with a lower Th17 and less activated T-cells at the time of sample acquisition compared not only with symptomatic patients, but also with healthy controls. Conversely, severe COVID-19 patients presented with Th17-skewed immunity, fewer Th1 responses and more activated T-cells. The multivariate analysis of the immunological and inflammatory parameters, together with the comorbidities, showed that the Th1 response was an independent protective factor for the prevention of hospitalization (OR 0.17, 95% CI 0.03–0.81), with an AUC of 0.844. Likewise, the Th1 response was found to be an independent protective factor for severe forms of the disease (OR 0.09, 95% CI: 0.01–0.63, p = 0.015, AUC: 0.873). In conclusion, a predominant Th1 immune response in the acute phase of the SARS-CoV-2 infection could be used as a tool to identify patients who might have a good disease evolution.