The Catatonia Quick Screen (CQS): A Rapid Screening Tool for Catatonia in Adult and Pediatric Populations.

Introduction: Catatonia is a neuropsychiatric disorder marked by significant disturbances in motor, cognitive, and affective functioning and that is frequently under-diagnosed. To enhance clinical detection of catatonia, this study aimed to develop a rapid, sensitive Catatonia Quick Screen (CQS) using a reduced set of catatonic signs to facilitate screening in adult and pediatric patients.

Methods: Data were derived from two retrospective cohorts totaling 446 patients (254 adults, 192 children) who screened positive for catatonia using the Bush Francis Catatonia Screening Instrument (BFCSI).

Diagnostic and demographic factors of pediatric and adult catatonia hospitalizations: A 2016-2020 National Inpatient Sample Study.

Objective: Catatonia is a neuropsychiatric disorder that can occur in patients of any age, but it is uncertain whether patient demographics or underlying diagnoses differ between pediatric and adult patients. This study investigates patients of all ages diagnosed with catatonia during acute care hospitalizations in the United States over a 5-year period.

Method: The National Inpatient Sample, an all-payors database of acute care hospital discharges, was queried for patients with a discharge diagnosis of catatonia between 2016 and 2020 with patients stratified by age as pediatric (≤18 years) or adult (>18 years).

Co-Occurring Catatonia and COVID-19 Diagnoses Among Hospitalized Individuals in 2020: A National Inpatient Sample Analysis.

Background: COVID-19 is associated with a range of neuropsychiatric manifestations. While case reports and case series have reported catatonia in the setting of COVID-19 infection, its rate has been poorly characterized.

Objective: This study reports the co-occurrence of catatonia and COVID-19 diagnoses among acute care hospital discharges in the United States in 2020.

The occurrence of catatonia diagnosis in acute care hospitals in the United States: A national inpatient sample analysis.

Objective: Catatonia is a neuropsychiatric disorder that can occur in the setting of many illnesses, but the frequency of catatonia diagnosis among hospitalized patients is poorly characterized. This study reports the occurrence of catatonia diagnosis among acute care hospital discharges in the United States and the cooccurring diagnoses of these patients.

Method: The National Inpatient Sample, an all-payors database of acute care hospital discharges, was queried for patients older than 18 discharged with a diagnosis of catatonia in 2019.

The Incidence of Catatonia Diagnosis Among Pediatric Patients Discharged From General Hospitals in the United States: A Kids' Inpatient Database Study.

Objective: Catatonia is a neuropsychiatric condition occurring across the age spectrum and associated with great morbidity and mortality. While prospective cohorts have investigated catatonia incidence among psychiatric patients, no studies have comprehensively explored the incidence of catatonia in general hospitals. We examine the incidence of catatonia diagnosis, demographics of catatonia patients, comorbidities, and inpatient procedures utilized among pediatric patients hospitalized with catatonia in the United States.

Applying machine learning to smartphone based cognitive and sleep assessments in schizophrenia.

Background: Cognitive impairment in schizophrenia remains a chief source of functional disability and impairment, despite the potential for effective interventions. This is in part related to a lack of practical and easy to administer screening strategies that can identify and help triage cognitive impairment. This study explores how smartphone-based assessments may help address this need.

Seroprevalence of anti-SARS-CoV-2 IgG antibodies in the staff of a public school system in the midwestern United States.

Since March 2020, the United States has lost over 580,000 lives to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes COVID-19. A growing body of literature describes population-level SARS-CoV-2 exposure, but studies of antibody seroprevalence within school systems are critically lacking, hampering evidence-based discussions on school reopenings. The Lake Central School Corporation (LCSC), a public school system in suburban Indiana, USA, assessed SARS-CoV-2 seroprevalence in its staff and identified correlations between seropositivity and subjective histories and demographics.

Epidemiology and risk factors for the development of cutaneous toxicities in patients treated with immune-checkpoint inhibitors: A United States population-level analysis.

Background: A variety of dermatoses have been reported in the growing number of patients treated with immune-checkpoint inhibitors (ICIs), but the current understanding of cutaneous immune-related adverse events (irAEs) is limited.

Objective: To determine the cumulative incidence, distribution, and risk factors of cutaneous irAEs after ICI initiation.

Methods: This was a retrospective cohort study of patients in a national insurance claims database including cancer patients treated with ICIs and matched controls.

Prediction of severe immune-related adverse events requiring hospital admission in patients on immune checkpoint inhibitors: study of a population level insurance claims database from the USA.

Background: Immune-related adverse events (irAEs) are a serious side effect of immune checkpoint inhibitor (ICI) therapy for patients with advanced cancer. Currently, predisposing risk factors are undefined but understanding which patients are at increased risk for irAEs severe enough to require hospitalization would be beneficial to tailor treatment selection and monitoring.

Methods: We performed a retrospective review of patients with cancer treated with ICIs using unidentifiable claims data from an Aetna nationwide US health insurance database from January 3, 2011 to December 31, 2019, including patients with an identified primary cancer and at least one administration of an ICI.

Seroprevalence of anti-SARS-CoV-2 IgG Antibodies in the Staff of a Public School System in the Midwestern United States.

Background: Since March 2020, the United States has lost over 200,000 lives to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes COVID-19. A growing body of literature describes population-level SARS-CoV-2 exposure, but studies of antibody seroprevalence within school systems are critically lacking, hampering evidence-based discussions on school reopenings. The Lake Central School Corporation (LCSC), a public school system in suburban Indiana, USA, assessed SARS-CoV-2 seroprevalence in its staff and identified correlations between seropositivity and subjective histories and demographics.

Quantitative Analysis of Circulating Tumor Cells Using RNA-Based Digital Scoring.

Circulating tumor cells (CTCs) provide valuable information about the molecular evolution of cancers, as they may initially respond and ultimately progress on therapy. As intact tumor cells isolated from the bloodstream, CTCs also enable assessment of heterogeneous subpopulations, and their analysis may include DNA, RNA, and protein biomarkers. New microfluidic cell isolation strategies greatly facilitate the challenge of enriching viable tumor cells from the billions of hematopoietic cells within a standard blood specimen.

Detection and Analysis of Circulating Epithelial Cells in Liquid Biopsies From Patients With Liver Disease.

Epithelial cells in the circulation (circulating epithelial cells, or CECs) are analyzed as a non-invasive method to detect cancers; we investigated whether analysis of hepatocytes in the circulation can identify patients with chronic liver disease or hepatocellular carcinoma (HCC). We previously developed a cell-sorting device to isolate CECs from patient blood samples and combined it with an mRNA analysis system to identify CECs with liver-specific markers. We tested the ability of this device to detect CECs of hepatocyte origin in blood samples from healthy individuals (n=10), patients with chronic liver disease without HCC (n=39), and patients with HCC (n=54), using immunofluorescence.

A Digital RNA Signature of Circulating Tumor Cells Predicting Early Therapeutic Response in Localized and Metastatic Breast Cancer.

The multiplicity of new therapies for breast cancer presents a challenge for treatment selection. We describe a 17-gene digital signature of breast circulating tumor cell (CTC)-derived transcripts enriched from blood, enabling high-sensitivity early monitoring of response. In a prospective cohort of localized breast cancer, an elevated CTC score after three cycles of neoadjuvant therapy is associated with residual disease at surgery ( = 0.

An RNA-Based Digital Circulating Tumor Cell Signature Is Predictive of Drug Response and Early Dissemination in Prostate Cancer.

Blood-based biomarkers are critical in metastatic prostate cancer, where characteristic bone metastases are not readily sampled, and they may enable risk stratification in localized disease. We established a sensitive and high-throughput strategy for analyzing prostate circulating tumor cells (CTC) using microfluidic cell enrichment followed by digital quantitation of prostate-derived transcripts. In a prospective study of 27 patients with metastatic castration-resistant prostate cancer treated with first-line abiraterone, pretreatment elevation of the digital CTC score identifies a high-risk population with poor overall survival (HR = 6.

An RNA-based signature enables high specificity detection of circulating tumor cells in hepatocellular carcinoma.

Circulating tumor cells (CTCs) are shed into the bloodstream by invasive cancers, but the difficulty inherent in identifying these rare cells by microscopy has precluded their routine use in monitoring or screening for cancer. We recently described a high-throughput microfluidic CTC-iChip, which efficiently depletes hematopoietic cells from blood specimens and enriches for CTCs with well-preserved RNA. Application of RNA-based digital PCR to detect CTC-derived signatures may thus enable highly accurate tissue lineage-based cancer detection in blood specimens.