Heightened Prevalence of Common Hospital-Treated Infections Preceding Dementia Diagnosis with Accelerated Dementia Onset after Influenza.

BACKGROUND: Since the beginning of Alzheimer's disease research, the hypothesis that infections are to some extent associated with neurodegenerative processes has been tested repeatedly. Epidemiological studies on the associations between infections and dementia have reported conflicting results. OBJECTIVES: This study analyses common hospital-treated infections (herpes, influenza, intestinal infections, pneumonia, sepsis, urinary tract infections) and their association with subsequent dementia and time until dementia onset. DESIGN, SETTING, AND PARTICIPANTS: For this nationwide population-based case-control study, the dataset of the Austrian National Health Insurance Association was used, including dementia patients (dementia cohort) and age- and gender-matched non-demented individuals (control cohort). Only subjects with data availability of at least 10 years prior to the index date (date of dementia diagnosis or date of censoring) were included. MEASUREMENTS: The incidence of six common infections in older adults (herpes, influenza, intestinal infections, pneumonia, sepsis, and urinary tract infections) was analyzed over a period of 10 years before the censoring date. RESULTS: The study population consists of 58208 subjects (29104 per study cohort), mean age: 81 years, 54% females. Patients of the dementia cohort had suffered from infections significantly more often than patients of the control cohort (6002, 20.6% vs. 4826, 16.6%; p < 0.001). Influenza, urinary tract infections, intestinal infections, and sepsis showed independent positive associations with subsequent dementia diagnosis, irrespective of other comorbidities (odds ratios: 1.26 (95% CI: 1.06-1.49), 1.23 (95% CI: 1.16-1.30), 1.16 (95% CI: 1.07-1.27), 1.17 (95% CI: 1.01-1.37), respectively). Time from infection to dementia diagnosis was shorter after influenza compared to all other infections (median: 3.4 years (95% CI: 3.1-3.7) vs. 6.6 years (95% CI: 6.4-6.8); p < 0.001). CONCLUSION: This is the first study to assess the association between infections and dementia over such a long minimum reporting period. These results, supported by consistent data from other epidemiological studies, emphasize the critical importance of infection prevention measures, especially for older adults. Further research is crucial to better understand the nature of the relationship between infections and dementia.

Bruton tyrosine kinase inhibitor monotherapy in B-cell lymphoma and risk of infection: A systematic review and meta-analysis of randomized controlled trials.

Bruton's tyrosine kinase (BTK) inhibitors are important therapeutic advances with promising efficacy outcomes in the treatment of patients with chronic lymphocytic leukemia and other B-cell lymphoma subtypes. However, the utility of BTK inhibitors can be limited by adverse events such as infections. In this systematic review and meta-analysis, we aim to determine the risk of various infections associated with BTK inhibitor monotherapy in B-cell lymphoma patients. A comprehensive search was conducted in MEDLINE/PubMed, Embase, and Web of Science databases from their inception until October 2023. ClinicalTrials.gov, bibliographies, and relevant conference abstracts were also searched for additional records. Randomized controlled trials that included any B-cell lymphoma patients treated with BTK inhibitor monotherapy and reported infection were included. Meta-analysis was performed to calculate risk ratio (RR) using a random-effects model in R Statistical Software, version 4.3.2. Of 3292 studies retrieved, we included 12 studies in this systematic review and meta-analysis. The median age of patients across the study arms ranged between 64 and 73 years. The overall pooled RR for any grade upper respiratory tract infections (URTI) associated with BTK inhibitor treatment was 1.55 (95% Confidence Interval (CI) 1.22-1.97). The RR of grade ≥3 URTI was reported in 14 out of 1046 patients, yielding an RR of 1.46 (95% CI 0.61-3.54), which was not statistically significant. The pooled RR of any grade pneumonia was 1.20 (95% CI 0.68-2.10) and grade ≥3 pneumonia was 1.12 (95% CI 0.67-1.85), both of which were not statistically significant. Patients with B-cell lymphoma who are undergoing BTK inhibitor monotherapy face an elevated risk of developing URTI. Clinicians prescribing BTK inhibitors should be aware of the potential infectious events that may occur. Close monitoring and the implementation of effective prophylactic measures are essential for managing these patients.

Special Issue "The Role of Toll-Like Receptors (TLRs) in Infection and Inflammation 2.0".

Toll-like receptors (TLRs) are key players in the innate immune system, in host' first-line defense against pathogens [...].

Antimicrobial resistance in the Americas: Addressing one of the most pressing health threats

Antimicrobial resistance (AMR) occurs when microorganisms that cause infection (bacteria, parasites, viruses, and fungi) become resistant to the antimicrobial drugs we use to treat them. When this happens, infections last longer, are more severe, and become more contagious. Resistance leads to the ineff ectiveness of antimicrobials, the cornerstone of modern medicine, threatening our ability to treat infections and perform safe, life-saving procedures. AMR is also very costly in economic terms. Much longer hospital stays and expensive drugs are needed to treat AMR infections, leading to higher healthcare costs and higher morbidity and mortality of hospital patients, especially those in intensive care units, oncology, and neonatology.

Increased Risk of Short-Term Infection After Liver Transplantation Combined With Splenectomy: Clinical Retrospective Study.

AIM: The safety of liver transplantation and simultaneous splenectomy (LTSP) is still controversial. This study aimed to compare postoperative outcomes and infection in liver transplant recipients with and without simultaneous splenectomy. METHODS: Clinical data of patients who underwent liver transplantation (LT) from May 2015 to March 2023 in the First Affiliated Hospital of Anhui Medical University were retrospectively analyzed. The main parameters measured were culture results, infection incidence, pathogens, postoperative complications, and overall survival rates. RESULTS: Of 149 patients, 35 who underwent LTSP were assigned to the LTSP group, and the remaining 114 were assigned to the LT group. The postoperative infection incidence in the LTSP group was significantly higher than in the LT group within 1 month after transplantation. The two groups had no significant differences in pathogens details and overall survival rate. SP, postoperative days (POD) 3 Neutrophil to lymphocyte ratio (NLR), POD 7 NLR, and POD 7 Hemoglobin (HGB) were independent risk factors for postoperative infection in multivariate analysis. CONCLUSION: LTSP increases the risk of short-term postoperative infections, and postoperative NLR can be used as a marker of infection.

Comparative risk of infection of medications used for type 2 diabetes.

INTRODUCTION: Glucose-lowering drugs pose a potential infection risk among individuals with type 2 diabetes. The U.S. Food and Drug Administration has issued safety warnings regarding increased risks of urinary tract infections (UTIs) and genital infections with sodium-glucose cotransporter 2 (SGLT2) inhibitors. However, the infection risk associated with other glucose-lowering drugs remains unclear. We conducted a PubMed database search to review the infection risk of glucose-lowering drugs, focusing on meta-analysis of randomized controlled trials. AREAS COVERED: We described the infection risks associated with SGLT2 inhibitors, dipeptidyl peptidase-4 (DPP-4) inhibitors, glucose-like peptide-1 receptor agonists, metformin, and thiazolidinediones, covering infections of the genitourinary, respiratory, and gastrointestinal systems, including skin and soft tissue infections (SSTIs). EXPERT OPINION: SGLT2 inhibitors are associated with a higher genital infection risk, while their UTI risk remains inconclusive. DPP-4 inhibitors could be a treatment option for those intolerant to SGLT2 inhibitors, given their lower genital infection risk compared to placebo. Uncertainty persists regarding the risks of respiratory infections, gastroenteritis, and SSTIs with SGLT2 inhibitors. Limited evidence is available regarding the impact of DPP-4 inhibitors on respiratory infections. Additional research is needed to determine the comparative infection risk of other glucose-lowering drugs.

Infections in Children with Acute Lymphoblastic Leukemia.

Background and Objectives: Infections are the most common and potentially life-threatening complications of the treatment of children with acute lymphoblastic leukemia (ALL). The aim of this study was to determine epidemiological, clinical, and microbiological characteristics of infections in pediatric patients with ALL. Materials and Methods: Twenty-three children (16 males and 7 females, with a mean age of 5.9 years (range of 1.3 to 12.2 years)) with ALL, treated at the Division of Hematology, Oncology, and Clinical Genetics, Department of Pediatrics, Clinical Hospital Center Rijeka, Croatia, from 1 January 2015 to 31 December 2020, were included in the study. Results: One hundred and four infectious episodes (IEs) were reported (an average of 4.5 IE per patient). IEs were more frequent in the intensive phases of antileukemic treatment. Neutropenia was present in 48 IEs (46.2%) with a duration greater than 7 days in 28 IEs (58.3%). The respiratory tract was the most common infection site (48.1%). We documented 49 bacterial (47.1%), 4 viral (3.9%), 4 fungal (3.9%), and 10 mixed isolates (9.6%), while in 37 IEs (35.6%), a pathogen was not isolated. The most common causes of bacteremia were coagulase-positive staphylococci. The most frequent empirical therapy was third- and fourth-generation cephalosporins, followed by piperacillin/tazobactam. The modification of first-line antimicrobial therapy was performed in 56.9% of IEs. Granulocyte-colony stimulating factor was administered in 53.8% of IEs, and intravenous immunoglobulins were administered in 62.5% of IEs. One patient required admission to the intensive care unit. No infection-related mortality was reported. Conclusions: ALL patients have frequent IEs. Close monitoring, the identification of risk factors, the rapid empirical use of antibiotics in febrile neutropenia, and the timely modification of antimicrobial therapy play key roles in reducing infection-related morbidity and mortality in children with ALL.

CXCR3-Expressing T Cells in Infections and Autoimmunity.

The chemokine receptor CXCR3 and its ligands (MIG/CXCL9, IP-10/CXCL10, and I-TAC/CXCL11) play a central role in the generation of cellular inflammation, both in the protective responses to invading pathogens, and in different pathological conditions associated with autoimmunity. It is worth noting that CXCR3 is highly expressed on innate and adaptive lymphocytes, as well as on various cell subsets that are localized in non-immune organs and tissues. Our review focuses exclusively on CXCR3-expressing T cells, including Th1, Th17.1, Tfh17, Tfh17.1, CXCR3+ Treg cells, and Tc1 CD8+ T cells. Currently, numerous studies have highlighted the role of CXCR3-dependent interactions in the coordination of inflammation in the peripheral tissues, both to increase recruitment of CD4+ and CD8+ T cells that upregulate inflammation, and also for recruitment of CXCR3+ T regulatory cells to dampen overexuberant responses. Understanding the role of CXCR3 and its ligands might help to apply them as new and effective therapeutic targets in a wide range of diseases.

Machine learning prediction and explanatory models of serious infections in patients with rheumatoid arthritis treated with tofacitinib.

BACKGROUND: Patients with rheumatoid arthritis (RA) have an increased risk of developing serious infections (SIs) vs. individuals without RA; efforts to predict SIs in this patient group are ongoing. We assessed the ability of different machine learning modeling approaches to predict SIs using baseline data from the tofacitinib RA clinical trials program. METHODS: This analysis included data from 19 clinical trials (phase 2, n = 10; phase 3, n = 6; phase 3b/4, n = 3). Patients with RA receiving tofacitinib 5 or 10 mg twice daily (BID) were included in the analysis; patients receiving tofacitinib 11 mg once daily were considered as tofacitinib 5 mg BID. All available patient-level baseline variables were extracted. Statistical and machine learning methods (logistic regression, support vector machines with linear kernel, random forest, extreme gradient boosting trees, and boosted trees) were implemented to assess the association of baseline variables with SI (logistic regression only), and to predict SI using selected baseline variables using 5-fold cross-validation. Missing values were handled individually per prediction model. RESULTS: A total of 8404 patients with RA treated with tofacitinib were eligible for inclusion (15,310 patient-years of total follow-up) of which 473 patients reported SIs. Amongst other baseline factors, age, previous infection, and corticosteroid use were significantly associated with SI. When applying prediction modeling for SI across data from all studies, the area under the receiver operating characteristic (AUROC) curve ranged from 0.656 to 0.739. AUROC values ranged from 0.599 to 0.730 in data from phase 3 and 3b/4 studies, and from 0.563 to 0.643 in data from ORAL Surveillance only. CONCLUSIONS: Baseline factors associated with SIs in the tofacitinib RA clinical trial program were similar to established SI risk factors associated with advanced treatments for RA. Furthermore, while model performance in predicting SI was similar to other published models, this did not meet the threshold for accurate prediction (AUROC > 0.85). Thus, predicting the occurrence of SIs at baseline remains challenging and may be complicated by the changing disease course of RA over time. Inclusion of other patient-associated and healthcare delivery-related factors and harmonization of the duration of studies included in the models may be required to improve prediction. TRIAL REGISTRATION: ClinicalTrials.gov: NCT00147498; NCT00413660; NCT00550446; NCT00603512; NCT00687193; NCT01164579; NCT00976599; NCT01059864; NCT01359150; NCT02147587; NCT00960440; NCT00847613; NCT00814307; NCT00856544; NCT00853385; NCT01039688; NCT02187055; NCT02831855; NCT02092467.

Incident Benzodiazepine and Z-Drug Use and Subsequent Risk of Serious Infections.

BACKGROUND AND OBJECTIVES: Animal studies have suggested a link between benzodiazepine and related Z-drug (BZDR) use and immune dysfunction. Corresponding evidence in humans is limited and focuses mainly on pneumonia. This study aimed to assess the association of incident BZDR use with subsequent development of serious infections. METHODS: This Swedish register-based study included a population-based demographically matched cohort, a co-twin control cohort, and an active comparator cohort. Out of 7,362,979 individuals aged below 65 years who were BZDR naïve by 2007, 713,896 BZDR recipients with incident dispensation of any BZDRs between 2007 and 2019 were 1:1 matched to 713,896 nonrecipients from the general population; 9197 BZDR recipients were compared with their 9298 unexposed co-twins/co-multiples; and 434,900 BZDR recipients were compared with 428,074 incident selective serotonin reuptake inhibitor (SSRI) recipients. The outcomes were identified by the first inpatient or specialist outpatient diagnosis of serious infections in the National Patient Register, or death from any infections recorded as the underlying cause in the Cause of Death Register. Cox proportional hazards regression models were fitted and controlled for multiple confounders, including familial confounding and confounding by indication. To study a possible dose-response association, the cumulative dosage of BZDRs dispensed during the follow-up was estimated for each BZDR recipient and modeled as a time-varying exposure with dose categories in tertiles [≤ 20 defined daily doses (DDDs), > 20 DDDs ≤ 65, and > 65 DDDs). The risk of infections was assessed in BZDR recipients within each category of the cumulative BZDR dosage compared to their demographically matched nonrecipients. RESULTS: In the demographically matched cohort (average age at incident BZDR use 42.8 years, 56.9% female), the crude incidence rate of any serious infections in BZDR recipients and matched nonrecipients during 1-year follow-up was 4.18 [95% confidence intervals (CI) 4.13-4.23] and 1.86 (95% CI 1.83-1.89) per 100 person-years, respectively. After controlling for demographic, socioeconomic, clinical, and pharmacological confounders, BZDR use was associated with 83% relative increase in risk of any infections [hazard ratio (HR) 1.83, 95% CI 1.79-1.89]. The risk remained increased, although attenuated, in the co-twin cohort (HR 1.55, 95% CI 1.23-1.97) and active comparator cohort (HR 1.33, 95% CI 1.30-1.35). The observed risks were similar across different types of initial BZDRs and across individual BZDRs, and the risks increased with age at BZDR initiation. We also observed a dose-response association between cumulative BZDR dosage and risk of serious infections. CONCLUSIONS: BZDR initiation was associated with increased risks of serious infections, even when considering unmeasured familial confounding and confounding by indication. The exact pathways through which BZDRs may affect immune function, however, remain unclear. Further studies are needed to explore the neurobiological mechanisms underlying the association between BZDR use and serious infections, as it can lead to safer therapeutic strategies for patients requiring BZDR.

Hypogammaglobulinemia and Infection Events in Patients with Autoimmune Diseases Treated with Rituximab: 10 Years Real-Life Experience.

OBJECTIVES: To investigate predictors of hypogammaglobulinemia (HGG) and severe infection event (SIE) in patients with autoimmune disease (AID) receiving rituximab (RTX) therapy. METHODS: This was a retrospective study conducted in a tertiary medical center in China. Predictors of HGG or SIE were assessed using Cox analysis. Restricted cubic spline (RCS) analysis was applied to examine the correlation between glucocorticoid (GC) maintenance dose and SIE. RESULTS: A total of 219 patients were included in this study, with a cumulative follow-up time of 698.28 person-years. Within the study population, 117 patients were diagnosed with connective tissue disease, 75 patients presented with ANCA-associated vasculitis, and 27 patients exhibited IgG4-related disease. HGG was reported in 63.3% of the patients, where an obvious decline in IgG and IgM was shown three months after RTX initiation. The rate of SIE was 7.2 per 100 person-years. An increase in the GC maintenance dose was an independent risk factor for both hypo-IgG (HR 1.07, 95% CI 1.02-1.12, p = 0.003) and SIE (HR 1.06, 95% CI 1.02-1.1, p = 0.004). Further RCS analysis identified 7.48 mg/d prednisone as a safe threshold dose for patients who underwent RTX treatment to avoid a significantly increased risk for SIE. CONCLUSION: HGG was relatively common in RTX-treated AID patients. Patients with chronic lung disease or who were taking ≥ 7.5 mg/d prednisone during RTX treatment were at increased risk for SIE and warrant attention from physicians.

The immunology of sickness metabolism.

Everyone knows that an infection can make you feel sick. Although we perceive infection-induced changes in metabolism as a pathology, they are a part of a carefully regulated process that depends on tissue-specific interactions between the immune system and organs involved in the regulation of systemic homeostasis. Immune-mediated changes in homeostatic parameters lead to altered production and uptake of nutrients in circulation, which modifies the metabolic rate of key organs. This is what we experience as being sick. The purpose of sickness metabolism is to generate a metabolic environment in which the body is optimally able to fight infection while denying vital nutrients for the replication of pathogens. Sickness metabolism depends on tissue-specific immune cells, which mediate responses tailored to the nature and magnitude of the threat. As an infection increases in severity, so do the number and type of immune cells involved and the level to which organs are affected, which dictates the degree to which we feel sick. Interestingly, many alterations associated with metabolic disease appear to overlap with immune-mediated changes observed following infection. Targeting processes involving tissue-specific interactions between activated immune cells and metabolic organs therefore holds great potential for treating both people with severe infection and those with metabolic disease. In this review, we will discuss how the immune system communicates in situ with organs involved in the regulation of homeostasis and how this communication is impacted by infection.

Impact of non-severe infections on cortisol and thyroid stimulating hormone baseline levels in hospitalized patients: A monocentric cross-sectional study.

Objective. The hormonal balance is dependent on the internal and external stimuli. The baseline cortisol (BC) and thyroid stimulating hormone (TSH) levels have been observed to vary and have a predictive value in critical illness settings. Few reports have studied their variation in non-severe acute illness. The present study aims to describe the variation of BC and TSH levels and to determine the factors influencing BC and TSH levels in patients admitted with non-severe acute illness. Patients and Methods. This is a cross-sectional study of patients admitted to Infectious Diseases and Endocrinology units at the Department of Endocrinology-Diabetology and Internal Medicine at Tahar Sfar University Hospital between March 15th and September 15th, 2020. BC and TSH levels were obtained during the hospitalization. Results. A total of 143 patients were included in this study with 75 presenting with infection. All infections were community-acquired and predominantly non-severe. The BC levels were higher in patients with infection (p=0.004), especially those admitted via the emergency department (p=0.009) with a fever (p=0.015). The BC positively correlated with the temperature (p=0.002, r'=0.350), CRP levels (p=0.002, r'=0.355), neutrophil to lymphocyte ratio (p=0.045, r'=0.235), and SOFA score (p=0.023, r'=0.262). On the other hand, TSH levels were comparable in the presence of infection (p=0.400). TSH levels did not correlate with the fever, the severity of infection, or inflammation biomarkers. Both BC and TSH did not predict unfavorable outcomes in non-severe infected patients. Conclusion. In patients admitted with critical acute infections, the BC levels seem to indicate a relatively more severe infectious state. On the other hand, TSH levels did not show significant variations in these patients.