Durvasula, Ravi

Abstract The publication rate of abstracts presented at a conference can provide some insight into its academic quality, although it is hardly the sole metric. We evaluated 351 SHEA Spring Conference abstracts; 49.9% were published. Findings demonstrate the strong academic output of SHEA conferences.

Candida krusei empyema is a rare but serious manifestation of invasive candidiasis, characterized by intrinsic resistance to fluconazole, biofilm formation, and high mortality, with limited case-level data to inform management. This review aims to systematically identify and synthesize all reported English-language cases of Candida krusei empyema from January 2005 to June 2025 using PubMed, ScienceDirect, OVID MEDLINE, and Gale OneFile and perform descriptive analysis on them. Screening, data extraction, and eligibility assessment were performed, and those articles not clearly meeting eligibility criteria were reviewed by additional reviewers with consensus resolution. Seven publications (six individual cases and two cohorts) were included. We additionally describe the clinical course, management, and outcome of a 70-year-old bilateral lung transplant patient who developed persistent C. krusei empyema despite optimized antifungal therapy. Patients ranged from 11 to 74 years of age (median 62.5 years). Predisposing factors included esophageal perforation (n = 4), post-transplant hemorrhage (n = 1), community-acquired empyema (n = 1), and thoracic surgery (n = 1). Empiric fluconazole was switched to caspofungin (3/4), with others receiving amphotericin B, voriconazole, or combination therapy. Source control varied: chest tube drainage (n = 3), percutaneous catheter (n = 3), and surgical decortication (n = 2). Mortality was 14.3% (1/7). In the absence of clear guidelines and robust literature, the management approach remains heterogeneous. Optimal care requires early recognition, aggressive multimodal antifungal therapy, and effective source control tailored to patient risk. Standardized antifungal protocols and larger case series are needed to guide clinicians in managing this challenging infection.

Significant progress has been made in treating Coronavirus disease (COVID) – an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). An ominous turn in the pandemic is the evolving public health crisis emanating from persistent SARS-CoV-2 infection and its associated long-term impact. Long COVID or post–COVID syndrome describes protean symptoms that persist at least 3 months after the onset of acute illness and last for at least 2 months in individuals with a history of confirmed SARS-CoV-2 infection. Long COVID has become a public health concern. Millions of infected individuals are now facing chronic multi-organ failures, including neuropsychiatric, cardiovascular, pulmonary, and kidney complications. In general, the cause of long COVID syndrome is unclear but factors such as prolonged activation of immune responses, and viral persistence triggering transcription dysregulation of genes associated with normal thrombotic disease may play a role in cardiovascular complications. Although inflammatory biomarkers are reported in other disorders, it remains unclear whether similar biomarkers are associated with cardiovascular manifestations following COVID. Medications such as sulodexide directed at glycocalyx and coagulation have demonstrated benefits for long COVID in smaller studies. Here, we describe the outcomes of the symposium on the underlying cardiovascular mechanisms of the long COVID.

Abstract Coronavirus disease 2019 (COVID-19) infection is associated with risk of persistent neurocognitive and neuropsychiatric complications, termed “long COVID”. It is unclear whether the neuropsychological manifestations of COVID-19 present as a uniform syndrome or as distinct neurophenotypes with differing risk factors and recovery outcomes. We examined post-acute neuropsychological profiles following SARS-CoV-2 infection in 205 patients recruited from inpatient and outpatient populations, using an unsupervised machine learning cluster analysis, with objective and subjective measures as input features. This resulted in three distinct post-COVID clusters. In the largest cluster (69%), cognitive functions were within normal limits, although mild subjective attention and memory complaints were reported. Vaccination was associated with membership in this “normal cognition” phenotype. Cognitive impairment was present in the remaining 31% of the sample but clustered into two differentially impaired groups. In 16% of participants, memory deficits, slowed processing speed, and fatigue were predominant. Risk factors for membership in the “memory-speed impaired” neurophenotype included anosmia and more severe COVID-19 infection. In the remaining 15% of participants, executive dysfunction was predominant. Risk factors for membership in this milder “dysexecutive” neurophenotype included disease-nonspecific factors such as neighborhood deprivation and obesity. Recovery outcomes at 6-month follow-up differed across neurophenotypes, with the normal cognition group showing improvement in verbal memory and psychomotor speed, the dysexecutive group showing improvement in cognitive flexibility, and the memory-speed impaired group showing no objective improvement and relatively worse functional outcomes compared to the other two clusters. These results indicate that there are multiple post-acute neurophenotypes of long COVID, with different etiological pathways and recovery outcomes. This information may inform phenotype-specific approaches to treatment.

Abstract Coronavirus disease 2019 (COVID-19) infection is associated with risk of persistent neurocognitive and neuropsychiatric complications, termed “long COVID”. It is unclear whether the neuropsychological manifestations of COVID-19 present as a uniform syndrome or as distinct neurophenotypes with differing risk factors and recovery trajectories. We examined post-acute outcomes following SARS-CoV-2 infection in 205 patients recruited from inpatient and outpatient populations, using an unsupervised machine learning cluster analysis, with objective and subjective neuropsychological measures as input features. This resulted in three distinct post-COVID clusters. In the largest cluster (69%), cognitive functions were within normal limits (“normal cognition” neurophenotype), although mild subjective attention and memory complaints were reported. Cognitive impairment was present in the remaining 31% of the sample but clustered into two differentially impaired groups. In 16% of participants, memory deficits, slowed processed speed, and fatigue were predominant. Risk factors for membership in the “memory-speed impaired” neurophenotype included anosmia and more severe COVID-19 infection. In the remaining 15% of participants, executive dysfunction was predominant. Risk factors for membership in this milder “dysexecutive” neurophenotype included disease-nonspecific factors such as neighborhood deprivation and obesity. Recovery trajectories at 6-month follow-up differed across neurophenotypes, with the normal cognition group showing stability, the dysexecutive group showing improvement, and the memory-speed impaired group showing persistent processing speed deficits and fatigue, as well as worse functional outcomes. These results indicate that there are multiple post-acute neurophenotypes of long COVID, with different etiological pathways and recovery trajectories. This information may inform phenotype-specific approaches to treatment.