Comparison of industry payments to psychiatrists and psychiatric advanced practice clinicians in the USA, 2021: a cross-sectional study.

OBJECTIVES: To compare industry payment patterns among US psychiatrists and psychiatric advanced practice clinicians (APCs) and determine how scope of practice laws has influenced these patterns. DESIGN: Cross-sectional study. SETTING: This study used the publicly available US Centers for Medicare and Medicaid Services Sunshine Act Open Payment database and the National Plan and Provider Enumeration System (NPPES) database for the year 2021. PARTICIPANTS: All psychiatrists and psychiatric APCs (subdivided into nurse practitioners (NPs) and clinical nurse specialists (CNSs)) included in either database. PRIMARY AND SECONDARY OUTCOME MEASURES: Number and percentage of clinicians receiving industry payments and value of payments received. Total payments and number of transactions by type of payment, payment source and clinician type were also evaluated. RESULTS: A total of 85 053 psychiatric clinicians (61 011 psychiatrists (71.7%), 21 895 NPs (25.7%), 2147 CNSs (2.5%)) were reviewed; 16 240 (26.6%) psychiatrists received non-research payment from industry, compared with 10 802 (49.3%) NPs and 231 (10.7%) CNSs (p<0.001) for pairwise comparisons). Psychiatric NPs were significantly more likely to receive industry payments compared with psychiatrists (incidence rate ratio (IRR), 1.85 (95% CI 1.81 to 1.88); p<0.001)). Compared with psychiatrists, NPs were more likely to receive payments of > United States Dollars (US) $) 100 (33.9% vs 14.6%; IRR, 2.14 (2.08 to 2.20); p<0.001) and > US$ 1000 (5.3% vs 4.1%; IRR, 1.29 (1.20 to 1.38); p<0.001) but less likely to receive > US$ 10 000 (0.4% vs 1.0%; IRR, 0.39 (0.31 to 0.49); p<0.001). NPs in states with 'reduced' or 'restricted' scope of practice received more frequent payments (reduced: IRR, 1.22 (1.18 to 1.26); restricted: IRR, 1.26 (1.22 to 1.30), both p<0.001). CONCLUSIONS: Psychiatric NPs were nearly two times as likely to receive industry payments as psychiatrists, while psychiatric CNSs were less than half as likely to receive payment. Stricter scope of practice laws increases the likelihood of psychiatric NPs receiving payment, the opposite of what was found in a recent specialty agnostic study.

Peritoneal Effluent Cell-Free DNA Sequencing in Peritoneal Dialysis Patients With and Without Peritonitis.

RATIONALE & OBJECTIVE: Conventional culture can be insensitive for the detection of rare infections and for the detection of common infections in the setting of recent antibiotic usage. Patients receiving peritoneal dialysis (PD) with suspected peritonitis have a significant proportion of negative conventional cultures. This study examines the utility of metagenomic sequencing of peritoneal effluent cell-free DNA (cfDNA) for evaluating the peritoneal effluent in PD patients with and without peritonitis. STUDY DESIGN: Prospective cohort study. SETTING & PARTICIPANTS: We prospectively characterized cfDNA in 68 peritoneal effluent samples obtained from 33 patients receiving PD at a single center from September 2016 to July 2018. OUTCOMES: Peritoneal effluent, microbial, and human cfDNA characteristics were evaluated in culture-confirmed peritonitis and culture-negative peritonitis. ANALYTICAL APPROACH: Descriptive statistics were analyzed and microbial cfDNA was detected in culture-confirmed peritonitis and culture-negative peritonitis. RESULTS: Metagenomic sequencing of cfDNA was able to detect and identify bacterial, viral, and eukaryotic pathogens in the peritoneal effluent from PD patients with culture-confirmed peritonitis, as well as patients with recent antibiotic usage and in cases of culture-negative peritonitis. LIMITATIONS: Parallel cultures were not obtained in all the peritoneal effluent specimens. CONCLUSIONS: Metagenomic cfDNA sequencing of the peritoneal effluent can identify pathogens in PD patients with peritonitis, including culture-negative peritonitis.

Separating the signal from the noise in metagenomic cell-free DNA sequencing.

BACKGROUND: Cell-free DNA (cfDNA) in blood, urine, and other biofluids provides a unique window into human health. A proportion of cfDNA is derived from bacteria and viruses, creating opportunities for the diagnosis of infection via metagenomic sequencing. The total biomass of microbial-derived cfDNA in clinical isolates is low, which makes metagenomic cfDNA sequencing susceptible to contamination and alignment noise. RESULTS: Here, we report low biomass background correction (LBBC), a bioinformatics noise filtering tool informed by the uniformity of the coverage of microbial genomes and the batch variation in the absolute abundance of microbial cfDNA. We demonstrate that LBBC leads to a dramatic reduction in false positive rate while minimally affecting the true positive rate for a cfDNA test to screen for urinary tract infection. We next performed high-throughput sequencing of cfDNA in amniotic fluid collected from term uncomplicated pregnancies or those complicated with clinical chorioamnionitis with and without intra-amniotic infection. CONCLUSIONS: The data provide unique insight into the properties of fetal and maternal cfDNA in amniotic fluid, demonstrate the utility of cfDNA to screen for intra-amniotic infection, support the view that the amniotic fluid is sterile during normal pregnancy, and reveal cases of intra-amniotic inflammation without infection at term. Video abstract.

Simultaneous multiplexed amplicon sequencing and transcriptome profiling in single cells.

We describe droplet-assisted RNA targeting by single-cell sequencing (DART-seq), a versatile technology that enables multiplexed amplicon sequencing and transcriptome profiling in single cells. We applied DART-seq to simultaneously characterize the non-A-tailed transcripts of a segmented dsRNA virus and the transcriptome of the infected cell. In addition, we used DART-seq to simultaneously determine the natively paired, variable region heavy and light chain amplicons and the transcriptome of B lymphocytes.

Urinary cell-free DNA is a versatile analyte for monitoring infections of the urinary tract.

Urinary tract infections are one of the most common infections in humans. Here we tested the utility of urinary cell-free DNA (cfDNA) to comprehensively monitor host and pathogen dynamics in bacterial and viral urinary tract infections. We isolated cfDNA from 141 urine samples from a cohort of 82 kidney transplant recipients and performed next-generation sequencing. We found that urinary cfDNA is highly informative about bacterial and viral composition of the microbiome, antimicrobial susceptibility, bacterial growth dynamics, kidney allograft injury, and host response to infection. These different layers of information are accessible from a single assay and individually agree with corresponding clinical tests based on quantitative PCR, conventional bacterial culture, and urinalysis. In addition, cfDNA reveals the frequent occurrence of pathologies that remain undiagnosed with conventional diagnostic protocols. Our work identifies urinary cfDNA as a highly versatile analyte to monitor infections of the urinary tract.