Personalized Therapy Approach for Hospitalized Patients with Coronavirus Disease 2019.

Hospitalized patients with coronavirus disease 2019 (COVID-19) experiencing respiratory symptoms have different complications (inflammatory, co-infection, and thrombotic) that are identifiable by analytics patterns. Personalized treatment decisions decreased early mortality (odds ratio [OR] .144; 95% confidence interval [CI] .03-.686; P = .015). Increasing age (OR 1.06; P = .038) and therapeutic effort limitation (OR 9.684; P < .001) were associated with higher mortality.

Inappropriate Empirical Antibiotic Treatment in High-risk Neutropenic Patients With Bacteremia in the Era of Multidrug Resistance.

BACKGROUND: We aimed to describe the current rates of inappropriate empirical antibiotic treatment (IEAT) in oncohematological patients with febrile neutropenia (FN) and its impact on mortality. METHODS: This was a multicenter prospective study of all episodes of bloodstream infection (BSI) in high-risk FN patients (2006-2017). Episodes receiving IEAT were compared with episodes receiving appropriate empirical therapy. Adherence to Infectious Diseases Society of America (IDSA) recommendations was evaluated. Multivariate analysis was performed to identify independent risk factors for mortality in Pseudomonas aeruginosa episodes. RESULTS: Of 1615 episodes, including Escherichia coli (24%), coagulase-negative staphylococci (21%), and P. aeruginosa (16%), 394 (24%) received IEAT despite IDSA recommendations being followed in 87% of cases. Patients with multidrug-resistant gram-negative bacilli (MDR-GNB), accounting for 221 (14%) of all isolates, were more likely to receive IEAT (39% vs 7%, P < .001). Overall mortality was higher in patients with GNB BSI who received IEAT (36% vs 24%, P = .004); when considering individual microorganisms, only patients with infection caused by P. aeruginosa experienced a significant increase in mortality when receiving IEAT (48% vs 31%, P = .027). Independent risk factors for mortality in PA BSI (odds ratio [95% confidence interval] were IEAT (2.41 [1.19-4.91]), shock at onset (4.62 [2.49-8.56]), and pneumonia (3.01 [1.55-5.83]). CONCLUSIONS: IEAT is frequent in high-risk patients with FN and BSI, despite high adherence to guidelines. This inappropriate treatment primarily impacts patients with P. aeruginosa-related BSI mortality and in turn is the only modifiable factor to improve outcomes.

HIV medical care interruption among people living with HIV in Spain, 2004-2020.

OBJECTIVE: We estimated the incidence rate of HIV medical care interruption (MCI) and its evolution over a 16-year-period, and identified associated risk factors among HIV-positive individuals from the Cohort of the Spanish AIDS Research Network in 2004-2020. DESIGN: We included antiretroviral-naive individuals aged at least 18 years at enrolment, recruited between January 1, 2004, and August 30, 2019, and followed-up until November 30, 2020. METHODS: Individuals with any time interval of at least 15 months between two visits were defined as having a MCI. We calculated the incidence rate (IR) of having at least one MCI and used multivariable Poisson regression models to identify associated risk factors. RESULTS: Of 15 274 individuals, 5481 (35.9%) had at least one MCI. Of those, 2536 (46.3%) returned to HIV care after MCI and 3753 (68.5%) were lost to follow-up at the end of the study period. The incidence rate (IR) of MCI was 7.2/100 person-years (py) [95% confidence interval (CI): 7.0-7.4]. The annual IR gradually decreased from 20.5/100 py (95% CI: 16.4-25.6) in 2004 to 4.9/100 py (95% CI: 4.4-5.5) in 2014, a slight increase was observed between 2015 and 2018, reaching 9.3/100 py (95% CI: 8.6-10.2) in 2019. Risk factors for MCI included younger age, lower educational level, having contracted HIV infection through injecting drug use or heterosexual intercourse, having been born outside of Spain, and CD4 + cell count >200 cell/µl, viral load <100 000 and co-infection with hepatitis C virus at enrolment. CONCLUSIONS: Around a third of individuals had at least one MCI during the follow-up. Identified predictors of MCI can help health workers to target and support most vulnerable individuals.

Progress in the quality of care for newly diagnosed people with HIV in Spain (2004-2019).

BACKGROUND: We monitored the quality of care for newly diagnosed people with HIV (PWH) in Spain, including linkage to care within 1 month of HIV diagnosis (LC-1Mo) and viral suppression within 3 months of HIV diagnosis (VS-3Mo). METHODS: Longitudinal study based on The Cohort of the Spanish AIDS Research Network (CoRIS). We used logistic regression stratified by year of HIV diagnosis (2004-2013 and 2014-2019) to assess differences by sex, country of origin, HIV risk group, age, prior AIDS, HIV Viral Load, and CD4 cell count. RESULTS: The final analysis included 13,632 PWH: males 85%, men having sex with men (MSM) 61%, median age 35 years. LC-1Mo increased from 42% (95% CI, 38%-46%) in 2004 to 80% (95% CI, 77%-83%) in 2019 (P < 0.001). Median CD4+ cell counts at ART initiation increased from <250/mm3 in 2004-2005 to >350/mm3 since 2012 (P < 0.001). The percentage of initial regimens based on integrase strand transfer inhibitors (INSTI) increased from 3% in 2004 to >70% from 2016 onwards (P < 0.001). VS-3Mo increased from 6% (95% CI, 4%-8%) in 2004 to 45% (95% CI, 41%-49%) in 2019 (P < 0.001). Worst results for LC-1Mo were found among PWH acquiring HIV by injection drug use and those born in Latin American Countries across all the study period. CONCLUSION: Care indicators have improved among newly diagnosed PWH in Spain over the last 15 years. Removal of CD4 cell counts limitations, and probably the increasing use of INSTI-based regimens was decisive for the progress made.

Aspergillosis by cryptic Aspergillus species: A case series and review of the literature.

BACKGROUND: The cryptic Aspegillus species are rare, these microorganisms are usually more resistant to common antifungal therapies. Therefore, a correct identification is important when evaluating the impact of such species in aspergillosis. AIMS: We aimed to describe the frequency, clinical and microbiological characteristics, and the outcomes of those cases of aspergillosis caused by cryptic species in a tertiary hospital. METHODS: We retrospectively identified all microbiologically documented cases of aspergillosis between January 2013 and December 2018. Definitive species identification of clinically significant isolates was achieved via sequencing methods. The polymerase chain reaction (PCR) products were sequenced, and the results obtained were compared to sequences deposited in GenBank. Antifungal susceptibility testing was performed using the Sensititre® YeastOne® panel. RESULTS: A total of 679 Aspergillus isolates were recovered from 489 patients, of which 109 were clinically relevant. Ten (9.2%) isolates were identified as cryptic species: Aspergillus arcoverdensis (2), Aspergillus lentulus (2), Aspergillus ellipticus (2), Aspergillus alliaceus (1), Aspergillus nomius (1), Aspergillus tubingensis (1) and Aspergillus montevidensis (1). Most patients already suffered some type of immunosuppression. Half of these patients had required intensive care before the infection showed up, and most of them had a pulmonary infection. Mortality at the 100-day follow-up was 40%. Antifungal susceptibility testing was performed on three of the isolates (A. arcoverdensis, A. tubingensis and A. nomius), which showed high minimum inhibitory concentrations (MIC) for azoles and amphotericin B. CONCLUSIONS: The frequency of cryptic species in our centre was 9.2%. Most patients had some degree of immunosuppression, and the mortality rate was 40%.

Dolutegravir plus rilpivirine: benefits beyond viral suppression: DORIPEX retrospective study.

ABSTRACT: Switching dual therapy with dolutegravir (DTG) plus rilpivirine (RPV) was assessed in the SWORD-1 and SWORD-2 studies. Real-life data regarding the immunological impact of this approach on CD4+ and CD8+ T lymphocyte counts and the CD4/CD8 ratio are scarce. We evaluated this strategy on the basis of clinical practice data.A multicentric retrospective cohort study.Treatment-experienced virologically suppressed HIV-1-infected patients who were switched to DTG plus RPV were included. Using different models for paired data, we evaluated the efficacy and immune status in terms of CD4+ and CD8+ T-cell counts and CD4/CD8 ratio at 24 and 48 weeks of treatment.The study population comprised of 524 patients from 34 centers in Spain. Men accounted for 76.9% of patients, with a median age of 53 years. Patients receiving DTG plus RPV reached weeks 24 and 48 in 99.4% and 83.8% of cases, respectively, with only three (0.57%) virological failures. We found a significant decrease in CD8+ T-cell count (log OR -40) at week 24 and an increase in CD4+ T-cell count at week 48 (log OR +22.8). In acquired immunodeficiency syndrome-diagnosed patients, we found a significant increase in the CD4+ T-cell count at week 48 (log OR = 41.7, P = .0038), but no significant changes in the CD8+ T-cell count (log OR = -23.4, P = .54). No differences were found in the CD4/CD8 ratio between the acquired immunodeficiency syndrome subgroup and sex or age.In patients with controlled treatment, dual therapy with DTG plus RPV slightly improved the immune status during the first 48 weeks after switching, not only in terms of CD4+ T-cell count but also in terms of CD8+ T-cell count, with persistently high rates of viral control.

Bacterial co-infection at hospital admission in patients with COVID-19.

OBJECTIVES: We described the current incidence and risk factors of bacterial co-infection in hospitalized patients with COVID-19. METHODS: Observational cohort study was performed at the Hospital Clinic of Barcelona (February 2020-February 2021). All patients with COVID-19 who were admitted for >48 hours with microbiological sample collection and procalcitonin (PCT) determination within the first 48 hours were included. RESULTS: A total of 1125 consecutive adults met inclusion criteria. Co-infections were microbiologically documented in 102 (9.1%) patients. Most frequent microorganisms were Streptococcus pneumoniae (79%), Staphylococcus aureus (6.8%), and Haemophilus influenzae (6.8%). Test positivity was 1% (8/803) for blood cultures, 10.1% (79/780) for pneumococcal urinary antigen test, and 11.4% (15/132) for sputum culture. Patients with PCT higher than 0.2, 0.5, 1, and 2 ng/mL had significantly more co-infections than those with lower levels (p=0.017, p=0.031, p<0.001, and p<0.001, respectively). In multivariate analysis, oxygen saturation ≤94% (OR 2.47, CI 1.57-3.86), ferritin levels <338 ng/mL (OR 2.63, CI 1.69-4.07), and PCT higher than 0.2 ng/mL (OR 1.74, CI 1.11-2.72) were independent risk factors for co-infection at hospital admission owing to COVID-19. CONCLUSIONS: Bacterial co-infection in patients hospitalized for COVID-19 is relatively common. However, clinicians could spare antibiotics in patients with PCT values <0.2, especially with high ferritin values and oxygen saturation >94%.

Clinical Characteristics and Outcome of Bloodstream Infections in HIV-Infected Patients with Cancer and Febrile Neutropenia: A Case-Control Study.

INTRODUCTION: We aimed to compare the clinical characteristics and outcomes of bloodstream infections (BSI) in cancer patients presenting febrile neutropenia with and without HIV infection, and analyze the prognostic factors for mortality. METHODS: BSI episodes in febrile neutropenic patients following chemotherapy were prospectively collected (1997-2018). A case (HIV-infected)-control (non-HIV-infected) sub-analysis was performed (1:2 ratio), matching patients by age, gender, baseline disease, and etiological microorganism. RESULTS: From 1755 BSI episodes in neutropenic cancer patients, 60 (3.4%) occurred in those with HIV. HIV characteristics: 51.7% were men who have sex with men; 58.3% had < 200 CD4; 51.7% had a detectable HIV-1 RNA viral load before the BSI episode; 70.0% met AIDS-defining criteria; and 93.3% were on antiretroviral therapy, with a protease inhibitor-based regimen being the most common (53.0%). HIV-infected patients were younger, more frequently male and more commonly presenting chronic liver disease (p < 0.001 for all). BSI due to Enterococcus spp. was significantly more frequent among patients with HIV (p = 0.017) with no differences in other pathogens. HIV-infected patients with cancer presented with shock more frequently (p = 0.014) and had higher mortality (31.7% vs. 18.1%, p = 0.008). In the case-control analysis, cases (HIV-infected) had chronic liver disease (p = 0.003) more frequently, whereas acute leukemia (p = 0.013) and hematopoietic stem-cell transplant (p = 0.023) were more common among controls. There was a non-significant trend for cases to have higher mortality (p = 0.084). However, in multivariate analysis, HIV infection was not associated with mortality (p = 0.196). CONCLUSION: HIV-infected patients with cancer developing febrile neutropenia and BSI have different epidemiological and clinical profiles, and experience higher mortality. However, HIV infection by itself was not associated with mortality.

Changing epidemiology of catheter-related bloodstream infections in neutropenic oncohematological patients.

BACKGROUND: We aimed to describe the epidemiology of catheter-related bloodstream infections (CRBSIs) in onco-hematological neutropenic patients during a 25-year study period, to evaluate the risk factors for Gram-negative bacilli (GNB) CRBSI, as well as rates of inappropriate empirical antibiotic treatments (IEAT) and mortality. MATERIALS/METHODS: All consecutive episodes of CRBSIs were prospectively collected (1994-2018). Changing epidemiology was evaluated comparing five-year time spans. A multivariate regression model was built to evaluate risk factors for GNB CRBSIs. RESULTS: 482 monomicrobial CRBSIs were documented. The proportion of CRBSIs among all BSIs decreased over time from 41.2% to 15.8% (p<0.001). CRBSIs epidemiology has been changing: the rate of GNB increased over time (from 11.9% to 29.4%; p<0.001), as well as the absolute number and rate of multidrug-resistant (MDR) GNB (from 9.5% to 40.0%; p = 0.039). P. aeruginosa increased and comprised up to 40% of all GNB. Independent factors related with GNB-CRBSIs were: longer duration of in-situ catheter (OR 1.007; 95%CI 1.004-1.011), older age (OR 1.016; 95%CI 1.001-1.033), prior antibiotic treatment with penicillins (OR 2.716; 95%CI 1.306-5.403), and current antibiotic treatment with glycopeptides (OR 1.931; 95%CI 1.001-3.306). IEATs were administered to 30.7% of patients, with the highest percentage among MDR P. aeruginosa (76.9%) and S. maltophillia (92.9%). Mortality rate was greater among GNB than GPC-CRBSI (14.4% vs 5.4%; p = 0.002), with mortality increasing over time (from 4.5% to 11.2%; p = 0.003). CONCLUSION: A significant shift towards GNB-CRBSIs was observed. Secondarily, and coinciding with an increasing number of GNB-MDR infections, mortality increased over time.

Impact of Inflammatory Response Modifiers on the Incidence of Hospital-Acquired Infections in Patients with COVID-19.

INTRODUCTION: The study aim was to assess the influence of inflammatory response modifiers, including anti-interleukin-6 (IL-6) biologics and corticosteroids, on the incidence of hospital-acquired infections in patients with coronavirus disease 2019 (COVID-19). METHODS: Case-control study performed at a university hospital from February 26 to May 26, 2020. Cases were defined as patients with COVID-19 who developed hospital-acquired infections. For each case, two controls were selected among patients without infections. Cases and controls were matched obeying three criteria in a hierarchical sequence: length of hospital stay up until the first infection; comorbidity; and need for Intensive care unit (ICU) admission. Conditional logistic regression analysis was used to estimate the association of exposures with being a case. RESULTS: A total of 71 cases and 142 controls were included. Independent predictors for acquiring a hospital infection were chronic liver disease [odds ratio (OR) 16.56, 95% CI 1.87-146.5, p = 0.012], morbid obesity (OR 6.11, 95% CI 1.06-35.4, p = 0.043), current or past smoking (OR 4.15, 95% CI 1.45-11.88, p = 0.008), exposure to hydroxychloroquine (OR 0.2, 95% CI 0.041-1, p = 0.053), and invasive mechanical ventilation (OR 61.5, 95% CI 11.08-341, p ≤ 0.0001). CONCLUSIONS: Inflammatory response modifiers had no influence on acquisition of nosocomial infections in admitted patients with COVID-19. Hospital-acquired infections primarily occurred in the critically ill and invasive mechanical ventilation was the main exposure conferring risk.

Risk Factors for Mortality in Hematopoietic Stem Cell Transplantation Recipients with Bloodstream Infection: Points To Be Addressed by Future Guidelines.

In recent years, important epidemiologic changes have been described in hematopoietic stem cell transplantation (HSCT) recipients with bloodstream infection (BSI), with increases in gram-negative bacilli and multidrug resistant (MDR) gram-negative bacilli. These changes have been linked to a worrisome increase in mortality. We aimed to define the risk factors for mortality of HSCT patients experiencing BSI. All episodes of BSI in patients with HSCT between 2008 and 2017 were prospectively collected. Multivariate analyses were performed. A total of 402 BSI episodes were documented in 293 patients who had undergone HSCT (75.4% allogenic, 32.3% autologous, 19.3% second HSCT). The median time from HSCT to BSI was 62 days (interquartile range, 9 to 182 days). Gram-positive cocci accounted for 56.7% of the episodes; gram-negative bacilli, for 42%. The most common microorganisms were coagulase-negative staphylococci (30.6%) and Pseudomonas aeruginosa (15.9%). MDR gram-negative bacilli caused 11.9% of all episodes. Clinical characteristics, source of BSI, etiology, and outcomes changed depending on time since HSCT. Globally, 26.6% of episodes were treated with inappropriate empiric antibiotic therapy, more frequently in BSI episodes caused by P. aeruginosa, MDR P. aeruginosa, and MDR gram-negative bacilli. The 30-day mortality was 19.2%. Independent risk factors for mortality were BSI occurring ≥30 days after HSCT (odds ratio [OR], 11.21; 95% confidence interval [CI], 4.63 to 27.19), shock (OR, 7.10; 95% CI, 2.98 to 16.94), BSI caused by MDR P. aeruginosa (OR, 4.45; 95% CI, 1.12 to 17.72), and inappropriate empiric antibiotic therapy for gram-negative bacilli or Candida spp. (OR, 3.73; 95% CI, 1.27 to 10.89). HSCT recipients experiencing BSI have high mortality related to host and procedure factors, causative microorganism, and empiric antibiotic therapy. Strategies to identify HSCT recipients at risk of MDR P. aeruginosa and reducing inappropriate empiric antibiotic therapy are paramount to reduce mortality.

Incidence of co-infections and superinfections in hospitalized patients with COVID-19: a retrospective cohort study.

OBJECTIVES: To describe the burden, epidemiology and outcomes of co-infections and superinfections occurring in hospitalized patients with coronavirus disease 2019 (COVID-19). METHODS: We performed an observational cohort study of all consecutive patients admitted for ≥48 hours to the Hospital Clinic of Barcelona for COVID-19 (28 February to 22 April 2020) who were discharged or dead. We describe demographic, epidemiologic, laboratory and microbiologic results, as well as outcome data retrieved from electronic health records. RESULTS: Of a total of 989 consecutive patients with COVID-19, 72 (7.2%) had 88 other microbiologically confirmed infections: 74 were bacterial, seven fungal and seven viral. Community-acquired co-infection at COVID-19 diagnosis was uncommon (31/989, 3.1%) and mainly caused by Streptococcus pneumoniae and Staphylococcus aureus. A total of 51 hospital-acquired bacterial superinfections, mostly caused by Pseudomonas aeruginosa and Escherichia coli, were diagnosed in 43 patients (4.7%), with a mean (SD) time from hospital admission to superinfection diagnosis of 10.6 (6.6) days. Overall mortality was 9.8% (97/989). Patients with community-acquired co-infections and hospital-acquired superinfections had worse outcomes. CONCLUSIONS: Co-infection at COVID-19 diagnosis is uncommon. Few patients developed superinfections during hospitalization. These findings are different compared to those of other viral pandemics. As it relates to hospitalized patients with COVID-19, such findings could prove essential in defining the role of empiric antimicrobial therapy or stewardship strategies.

Gustatory and olfactory dysfunctions in hospitalised patients with COVID-19 pneumonia: a prospective study.

IMPORTANCE: Identifying undetected clinical signs is imperative in the prevention of SARS-CoV-2. OBJECTIVE: To establish the prevalence of clinical gustatory and olfactory dysfunctions in patients with COVID-19 pneumonia. Clinical outcomes and recovery rates associated with gustatory and olfactory dysfunctions were also assessed. DESIGN: A prospective study was performed in 80 patients admitted to Hospital Clínic of Barcelona (Spain) for COVID-19 pneumonia. Patients were re-evaluated in the ward daily until discharge. Gustatory and olfactory dysfunction symptoms were retrospectively collected from emergency room (ER) charts after first assessments. Follow-up was performed in telemedicine consultation. SETTING: The single-centre study was performed in a hospitalisation ward at a university hospital. PARTICIPANTS: Consecutive patients meeting hospitalisation criteria for COVID-19 pneumonia were eligible. Study exclusion criteria were patients who could not speak, had previous gustatory and olfactory dysfunctions or whose PCR tests for SARS-CoV-19 were negative. INTERVENTIONS: Systematic assessment of gustatory and olfactory symptoms with standardised questions. OUTCOMES: Prevalence of gustatory and olfactory dysfunctions in patients with COVID-19 pneumonia. RESULTS: Of the 80 study subjects, 62.5% were male and the median age was 57 years. Half of the cohort (n=40) presented with comorbidities. The prevalence of chemosensitive disorder was 73.8% (n=59) (95% CI: 63.8 to 83.8), although self-reported symptoms were recorded in only 26.3% (n=21) of patients in the ER. Gustatory and olfactory dysfunctions were observed in 58.8% (n=47) and 55% (n=44) of cases, respectively. They were also the first symptoms in 25% (n=20) of patients. Anosmia was associated with ageusia, OR: 7, 95% CI: 2.3 to 21.8, p=0.001). No differences in clinical outcomes were observed when patients with and without gustatory and olfactory dysfunctions were compared. Recovery rates were 20% (n=10) and 85% (n=42) at days 7 and 45, respectively. CONCLUSION: The prevalence of gustatory and olfactory dysfunctions in COVID-19 pneumonia was much higher than in self-report. Presence of gustatory and olfactory dysfunctions was not a predictor of clinical outcomes.

Can Artificial Intelligence Improve the Management of Pneumonia.

The use of artificial intelligence (AI) to support clinical medical decisions is a rather promising concept. There are two important factors that have driven these advances: the availability of data from electronic health records (EHR) and progress made in computational performance. These two concepts are interrelated with respect to complex mathematical functions such as machine learning (ML) or neural networks (NN). Indeed, some published articles have already demonstrated the potential of these approaches in medicine. When considering the diagnosis and management of pneumonia, the use of AI and chest X-ray (CXR) images primarily have been indicative of early diagnosis, prompt antimicrobial therapy, and ultimately, better prognosis. Coupled with this is the growing research involving empirical therapy and mortality prediction, too. Maximizing the power of NN, the majority of studies have reported high accuracy rates in their predictions. As AI can handle large amounts of data and execute mathematical functions such as machine learning and neural networks, AI can be revolutionary in supporting the clinical decision-making processes. In this review, we describe and discuss the most relevant studies of AI in pneumonia.