Publications by authors named "Antonio Gallardo-Pizarro"
Article Synopsis
- The study analyzed the occurrence of multidrug-resistant (MDR) bacteria in solid cancer patients with bloodstream infections (BSIs) over 25 years, revealing a significant rise in MDR strains, especially ESBL-producing bacteria.
- Among 6,117 BSI episodes, Gram-negative bacilli (GNB) were the most prevalent, and 24.8% of patients received inappropriate empiric antibiotic treatment (IEAT), which correlated with higher mortality rates.
- Risk factors for MDR BSIs included prior antibiotic use, infections occurring during treatment, and specific infection sources, highlighting the need for improved risk assessment and careful antibiotic prescribing to enhance patient outcomes.
Current microbiological testing approaches and documented infections at febrile neutropenia onset in patients with hematologic malignancies.
Int J Infect Dis
October 2024
Article Synopsis
- This study investigates the causes of infections in patients with febrile neutropenia (FN) and evaluates different microbiological testing methods used for diagnosis in a hospital setting.
- Conducted at the Hospital Clinic of Barcelona over two years, it analyzed 4520 tests from 462 FN episodes, revealing a 10% positivity rate and showing that bacterial and viral infections are significant contributors.
- The findings highlight a high rate of documented infections at FN onset, with bacterial infections being common but also emphasize the need for improved management strategies for viral infections, alongside a call for better diagnostic approaches to enhance cost-effectiveness.
Chimeric Antigen Receptor T-Cell Postinfusion Fever: Infection Profile, Clinical Parameters, and Biomarkers Trends to Assist Antibiotic Stewardship.
Open Forum Infect Dis
July 2024
Background: This study aimed to describe documented infections associated with postinfusion fever after CAR T-cell therapy and to evaluate daily changes in vital signs, laboratory results, and the National Early Warning Score (NEWS) in patients with and without confirmed bacterial infections following fever onset, with the objective of assisting in antibiotic stewardship.
Methods: This was a retrospective, observational study including all consecutive adult patients who received CAR T-cell therapy. Documented infection in the first fever episode after infusion, and clinical and analytic trend comparison of patients with bacterial documented infections and those without documented infections, are described.
Objectives: To describe the management of haematological patients experiencing prolonged SARS-CoV-2 viral shedding, as the optimal management strategy for this condition remains undetermined.
Methods: We conducted a retrospective evaluation of our prospectively followed cohort of haematological patients treated with remdesivir for more than 10 days. Starting January 2023, upon COVID-19 diagnosis, the treatment strategy was based on symptoms and PCR cycle threshold (Ct) as follows: (i) when Ct was 25 or less or if the patient had symptoms, a course of remdesivir for at least 10 days, nirmatrelvir/ritonavir for 5 days (whenever possible) and convalescent plasma was administered; and (ii) when the patient was asymptomatic and had a PCR Ct of more than 25, when possible, a course of 5 days of nirmatrelvir/ritonavir was administered.
Article Synopsis
- Researchers studied the rise of azole-resistant invasive aspergillosis in hematology patients in a Spanish hospital over the last 4 months, identifying 4 cases total, with 3 being azole-resistant.
- The diagnostic methods included fungal culture, antifungal susceptibility testing, and real-time PCR for detecting both Aspergillus species and azole resistance mutations like TR34/L98H.
- Findings showed that all azole-resistant cases had significant hematologic conditions and risk factors, indicating a pressing need for better monitoring and development of new antifungal treatments.
Aim: This study addresses the challenge of predicting the course of Adult-onset Still's disease (AoSD), a rare systemic autoinflammatory disorder of unknown origin. Precise prediction is crucial for effective clinical management, especially in the absence of specific laboratory indicators.
Methods: We assessed the effectiveness of combining traditional biomarkers with the k-medoids unsupervised clustering algorithm in forecasting the various clinical courses of AoSD-monocyclic, polycyclic, or chronic articular.
Introduction: Artificial intelligence (AI) and machine learning (ML) have the potential to revolutionize the management of febrile neutropenia (FN) and drive progress toward personalized medicine.
Areas Covered: In this review, we detail how the collection of a large number of high-quality data can be used to conduct precise mathematical studies with ML and AI. We explain the foundations of these techniques, covering the fundamentals of supervised and unsupervised learning, as well as the most important challenges, e.