Search

Objectives The aim of our study was to describe the incidence and predictive factors of secondary infections in patients with coronavirus disease 2019 (COVID-19). Methods This was a cohort study of patients hospitalized with COVID-19 at IRCCS San Raffaele Hospital between 25th February and 6th April 2020 (NCT04318366). We considered secondary bloodstream infections (BSIs) or possible lower respiratory tract infections (pLRTIs) occurring 48 hours after hospital admission until death or discharge. We calculated multivariable Fine–Gray models to assess factors associated with risk of secondary infections. Results Among 731 patients, a secondary infection was diagnosed in 68 patients (9.3%); 58/731 patients (7.9%) had at least one BSI and 22/731 patients (3.0%) at least one pLRTI. The overall 28-day cumulative incidence was 16.4% (95%CI 12.4–21.0%). Most of the BSIs were due to Gram-positive pathogens (76/106 isolates, 71.7%), specifically coagulase-negative staphylococci (53/76, 69.7%), while among Gram-negatives (23/106, 21.7%) Acinetobacter baumanii (7/23, 30.4%) and Escherichia coli (5/23, 21.7%) predominated. pLRTIs were caused mainly by Gram-negative pathogens (14/26, 53.8%). Eleven patients were diagnosed with putative invasive aspergillosis. At multivariable analysis, factors associated with secondary infections were low baseline lymphocyte count (≤0.7 versus >0.7 per 109/L, subdistribution hazard ratios (sdHRs) 1.93, 95%CI 1.11–3.35), baseline PaO2/FiO2 (per 100 points lower: sdHRs 1.56, 95%CI 1.21–2.04), and intensive-care unit (ICU) admission in the first 48 hours (sdHR 2.51, 95%CI 1.04–6.05). Conclusions Patients hospitalized with COVID-19 had a high incidence of secondary infections. At multivariable analysis, early need for ICU, respiratory failure, and severe lymphopenia were identified as risk factors for secondary infections.

Objective To describe the trajectories of the homeostatic model assessment for insulin resistance (HOMA-IR) index in a cohort of HIV-1 infected patients during their first-line antiretroviral (ART) regimen. Methods Retrospective analysis of naive patients who started ART from 2007 at the Infectious Diseases Unit of the San Raffaele Hospital, Milan. We included patients treated with two nucleoside reverse transcriptase inhibitors (NRTIs, tenofovir, abacavir, lamivudine or emtricitabine), and one anchor drug (ritonavir-boosted protease inhibitor [PI/r], non-NRTI [NNRTI], or integrase strand transfer inhibitor [InSTI]), and with HOMA-IR assessed both before and after the start of ART. Univariate and multivariate mixed linear models estimated HOMA-IR changes during ART. Results Among 618 patients included in the study, 218 received InSTI-, 210 PI/r-, and 190 NNRTI-based regimens. Median follow-up was 27.4 (16.3-41.2) months. Adjusted mean change in HOMA-IR index was significantly higher (P = .041) in patients treated with InSTI-based regimens [0.160 (95% CI: 0.003-0.321) units per year] compared with NNRTI-based regimens [-0.005 (95% CI: -0.184-0.074) units per year]; no difference was observed between patients treated with NNRTI- and PI/r-based regimens or between INSTI-based and PI/r-based regimens. Conclusion InSTI-based first-line ARTs were independently associated with greater increases in HOMA-IR index.

Purpose: To investigate if the regimen used when starting antiretroviral therapy (ART) affects the time spent with residual viraemia (RV) after achieving

Background Aim of this study was to evaluate the efficacy and the safety of switching from branded to generic antiretrovirals in patients with HIV-RNA

Background and aim: Antibodies against hepatitis B core antigen (anti-HBc) are found in 14–44% of patients with HIV infection, but it is still unclear whether hepatitis B virus (HBV) vaccination should be recommended for HIV-positive subjects with isolated anti-HBc (IAHBc). We examined the rate of anamnestic and primary responses (ARs and PRs) and associated factors in a group of HIV-infected patients with an IAHBc profile. Methods: This prospective study recruited 25 HIV-positive patients with anti-HBc alone who were vaccinated against HBV infection. Those without an AR (anti-hepatitis B envelope antigen [anti-HBs] levels of 10 but

The presence of naturally occurring resistance-associated substitutions (RASs) in the HCV-protease domain has been poorly investigated in the liver, the main site of HCV replication. We evaluated the natural resistance of the virus to NS3 protease inhibitors in liver tissue and plasma samples taken from HCV-infected patients. RASs were investigated by means of viral population sequencing in liver tissue samples from 18 HCV-infected patients harbouring genotype 1a or genotype 1b; plasma samples from 12 of these patients were also available for virological investigation. A discordant genotype was found in two of the 12 patients (16.6%) who provided samples from both compartments. Sequence analysis of the NS3 protease domain showed the presence of RASs in four of the 18 liver tissue samples (22.2%), two of which showed cross-resistance to protease inhibitors in clinical use or phase 2–3 trials. The analysis of the 12 paired tissues and plasma samples excluded the presence of RASs in the plasma compartment. The dominance of discordant genotypes in the paired liver and plasma samples of some HCV-infected patients suggests mixed infection possibly leading to the selective advantage of different genotype in the two compartments. The presence of RASs at intra-hepatic level is not uncommon and may lead to the early emergence of cross-resistant strains.

Naturally occurring resistance-associated variants (RAVs) within the protease domain of hepatitis C virus (HCV) genotype (G) 1a separated into clades 1 and 2, and G1b were investigated in 59 HIV/HCV coinfected patients. RAVs were detected in 10/23 G1a/clade 1 and 1/19 G1b (p 0.0059). A similar frequency of RAVs was found when comparing G1a/clade 2 and G1b (p 0.1672). A cross-resistance to the macrocyclic compounds simeprevir and paritaprevir was detected in two G1a/clade 2 and 1 G1b sequences and none of G1a/clade 1 sequences. The simultaneous characterization of subtype and natural RAVs by population analysis of the NS3 domain by may add important information for anti-HCV treatment strategies including protease inhibitors.

Supplemental Digital Content is available in the text, The extent of mixed hepatitis C virus (HCV) genotype in different compartments (plasma and peripheral blood mononuclear cell, PBMC) and possible association with treatment efficacy in HIV/HCV coinfected patients remains to be unknown. The objective of this study was to elucidate the frequency of mixed genotype infection (MG), its profile in different compartments during anti-HCV treatment, and the possible influence of different genotypes on the response rate. The compartmentalization of HCV population was investigated by next-generation sequencing in 19 HIV/HCV coinfected patients under anti-HCV treatment with peginterferon/ribavirin (P–R). Ten individuals were nonresponder (NR) or relapser (RE) to P–R treatment and 9 had a sustained virological response (SVR). Eleven/nineteen (58%) patients had MG in plasma compartment. Ten or 12 patients infected by a difficult to treat genotype (DTG) 1 or 4 as dominant strain, had an MG, whereas only 1/7 individuals infected by easy to treat genotype (ETG) harbored a mixed genotype, P = 0.006. HCV–RNA was more frequently detected in PBMC of NR (10/10) than in those of SVR (5/9), P = 0.032. Mixed genotype infection was detected in 6/15 (40%) PBMC-positive cases and was not associated with P–R treatment response. By multivariate analysis, MG in plasma samples was the most important viral factor affecting the treatment response (P = 0.0237). Detection of MG in plasma of HIV/HCV coinfected patients seems to represent the major determinant of response to P–R treatment. This finding may have important clinical implication in light of the new therapeutic approach in HIV/HCV coinfected individuals suggesting that combination treatment with direct acting antivirals could be less effective in MG.