Active infection at the time of CD34+ selected stem cell boost is associated with treatment failure and poor overall survival.

The use of CD34+ selected stem cell boost (SCB) after allogeneic hematopoietic cell transplant (allo-HCT) has been increasing. Predictors of treatment failure after SCB, both in the context of poor graft function (PGF) or other settings, are not well characterized. We report among the largest single-center retrospective experiences of the use of SCB and evaluate potential predictors of response and outcomes.

Lung cancer clustering by identification of similarities and discrepancies of DNA copy numbers using maximal information coefficient.

Lung cancer is the second most diagnosed cancer and the first cause of cancer related death for men and women in the United States. Early detection is essential as patient survival is not optimal and recurrence rate is high. Copy number (CN) changes in cancer populations have been broadly investigated to identify CN gains and deletions associated with the cancer.

SAMP: Identifying Antimicrobial Peptides by an Ensemble Learning Model Based on Proportionalized Split Amino Acid Composition.

It is projected that 10 million deaths could be attributed to drug-resistant bacteria infections in 2050. To address this concern, identifying new-generation antibiotics is an effective way. Antimicrobial peptides (AMPs), a class of innate immune effectors, have received significant attention for their capacity to eliminate drug-resistant pathogens, including viruses, bacteria, and fungi.

Assessing computational predictions of antimicrobial resistance phenotypes from microbial genomes.

The advent of rapid whole-genome sequencing has created new opportunities for computational prediction of antimicrobial resistance (AMR) phenotypes from genomic data. Both rule-based and machine learning (ML) approaches have been explored for this task, but systematic benchmarking is still needed. Here, we evaluated four state-of-the-art ML methods (Kover, PhenotypeSeeker, Seq2Geno2Pheno and Aytan-Aktug), an ML baseline and the rule-based ResFinder by training and testing each of them across 78 species-antibiotic datasets, using a rigorous benchmarking workflow that integrates three evaluation approaches, each paired with three distinct sample splitting methods.

Comparison of Older Related versus Younger Unrelated Donors for Older Recipients of Allogeneic Hematopoietic Cell Transplantation with Acute Myeloid Leukemia or Myelodysplastic Syndrome: A Large Single-Center Analysis.

For patients undergoing allogeneic hematopoietic cell transplantation (alloHCT), HLA-matched related donors (MRDs) have traditionally been the preferred donor source. However, as the age of recipients increases, their sibling donors are aging as well. In this study, we investigated whether younger matched unrelated donors (MUDs) might be a better donor source than similarly aged sibling donors for patients age >60 years with acute myeloid leukemia (AML) or myelodysplastic syndrome (MDS).

Disaster healthcare disparities solutions: Part 3-Recovery and mitigation.

The purpose of this study was to explore the potential solutions for disaster healthcare disparities. This paper is the third of a three-part series that was written by the Disaster Healthcare Disparities Workgroup of the American College of Emergency Physicians Disaster Preparedness and Response Committee. The committee conducted a literature review and chose articles most representative and demonstrative of solutions to disaster healthcare disparities found in a past workgroup product.

Disaster healthcare disparities solutions: Part 2-Response.

The purpose of this study was to explore the potential solutions for disaster healthcare disparities. This paper is the second of a three-part series that was written by the Disaster Healthcare Disparities Workgroup of the American College of Emergency Physicians Disaster Preparedness and Response Committee. The committee conducted a literature review and chose articles most representative and demonstrative of solutions to disaster healthcare disparities found in a past workgroup product.

Disaster healthcare disparities solutions: Part 1-Preparation.

The purpose of this study was to explore the potential solutions for disaster healthcare disparities. This paper is the first of a three-part series that was written by the Disaster Healthcare Disparities Workgroup of the American College of Emergency Physicians Disaster Preparedness and Response Committee. The committee workgroup conducted a literature review and chose articles most representative and demonstrative of solutions to disaster healthcare disparities found in a past workgroup product exploring disaster healthcare disparities seen in disaster.

Early and long-term outcomes following cardiac surgery for patients with heterotaxy syndrome.

Objective: Heterotaxy syndrome is a complex multisystem abnormality historically associated with high morbidity and mortality. We sought to evaluate the early and long-term outcomes after cardiac surgery in heterotaxy syndrome.

Methods: This is a single-center retrospective review of patients with heterotaxy syndrome undergoing single-ventricle palliation or primary or staged biventricular repair from 1998 to 2018.

The Association of Cardiometabolic, Diet and Lifestyle Parameters With Plasma Glucagon-like Peptide-1: An IMI DIRECT Study.

Context: The role of glucagon-like peptide-1 (GLP-1) in type 2 diabetes (T2D) and obesity is not fully understood.

Objective: We investigate the association of cardiometabolic, diet, and lifestyle parameters on fasting and postprandial GLP-1 in people at risk of, or living with, T2D.

Methods: We analyzed cross-sectional data from the two Innovative Medicines Initiative (IMI) Diabetes Research on Patient Stratification (DIRECT) cohorts, cohort 1 (n = 2127) individuals at risk of diabetes; cohort 2 (n = 789) individuals with new-onset T2D.

Wastewater-based epidemiology as a public health resource in low- and middle-income settings.

In the face of emerging and re-emerging diseases, novel and innovative approaches to population scale surveillance are necessary for the early detection and quantification of pathogens. The last decade has seen the rapid development of wastewater and environmental surveillance (WES) to address public health challenges, which has led to establishment of wastewater-based epidemiology (WBE) approaches being deployed to monitor a range of health hazards. WBE exploits the fact that excretions and secretions from urine, and from the gut are discharged in wastewater, particularly sewage, such that sampling sewage systems provides an early warning system for disease outbreaks by providing an early indication of pathogen circulation.

Associations of Childhood Adiposity and Cardiometabolic Biomarkers With Adolescent PCOS.

Objective: Polycystic Ovary Syndrome (PCOS) is common among females, with significant metabolic and reproductive comorbidities. We describe PCOS development in a pediatric population.

Methods: We assessed cardiometabolic biomarkers and adiposity at the midchildhood (mean 7.

Causal Selection of Covariates in Regression Calibration for Mismeasured Continuous Exposure.

Regression calibration as developed by Rosner, Spiegelman, and Willett is used to adjust the bias in effect estimates due to measurement error in continuous exposures. The method involves two models: a measurement error model relating the mismeasured exposure to the true (or gold-standard) exposure and an outcome model relating the mismeasured exposure to the outcome. However, no comprehensive guidance exists for determining which covariates should be included in each model.

Associations of U.S. state-level COVID-19 policies intensity with cannabis sharing behaviors in 2020.

Background: Cannabis use before the COVID-19 pandemic for many involved sharing prepared cannabis for inhalation, practices that were less prevalent during the pandemic. State-level COVID-19 containment policies may have influenced this decrease. This study examined the extent to which the intensity of state-level COVID-19 policies were associated with individual-level cannabis sharing.

Short-term air pollution levels and sickle cell disease hospital encounters in South Carolina: A case-crossover analysis.

Background: Sickle cell disease (SCD) is a genetic disorder and symptoms may be sensitive to environmental stressors. Although it has been hypothesized that exposure to outdoor air pollution could trigger acute SCD events, evidence is limited.

Methods: We obtained SCD administrative data on hospital encounters in South Carolina from 2002 to 2019.

Adverse Events and Device Failures Associated with Pancreatic Stents: A Comprehensive Analysis Using the FDA's MAUDE Database.

Introduction: Pancreatic duct stents (PDS) are widely used for the prevention of post-endoscopic retrograde cholangiopancreatography (ERCP) pancreatitis. However, there is a paucity of data regarding the adverse events associated with PDS placement. This study aims to investigate the reported adverse events and device failures related to PDS, utilizing the Manufacturer and User Facility Device Experience (MAUDE) database maintained by the U.

Metabolites and Cognitive Decline in a Puerto Rican Cohort.

Background: Recent studies have identified plasma metabolites associated with cognitive decline and Alzheimer's disease; however, little research on this topic has been conducted in Latinos, especially Puerto Ricans.

Objective: This study aims to add to the growing body of metabolomics research in Latinos to better understand and improve the health of this population.

Methods: We assessed the association between plasma metabolites and global cognition over 12 years of follow-up in 736 participants of the Boston Puerto Rican Health Study (BPRHS).