Publications by authors named "N J Cummings"

In 2021, the National Ambulatory Medical Care Survey Health Center (NAMCS HC) Component modernized its data collection and began collecting clinical visit data from health centers using transmission of electronic health record (EHR) data. With this redesign, there are potential cost implications for a health center to participate. Beginning in 2021, a one-time set-up fee (i.

View Article and Find Full Text PDF

Monitoring of donor chimerism (DC) may detect early relapse following allogeneic hematopoietic stem cell transplantation (allo-SCT) for acute myeloid leukemia (AML) or myelodysplastic syndrome (MDS). Most centers use unfractionated peripheral blood or T-cells to monitor DC, although CD34 DC may be more predictive. The limited adoption of CD34 DC may be due to the lack of detailed, comparative studies.

View Article and Find Full Text PDF

Objective: To compare clinical characteristics, treatment patterns, and 30-day all-cause readmission and mortality between patients hospitalized for heart failure (HF) before and during the coronavirus disease 2019 (COVID-19) pandemic.

Patients And Methods: The study was conducted at 16 hospitals across 3 geographically dispersed US states. The study included 6769 adults (mean age, 74 years; 56% [5033 of 8989] men) with cumulative 8989 HF hospitalizations: 2341 hospitalizations during the COVID-19 pandemic (March 1 through October 30, 2020) and 6648 in the pre-COVID-19 (October 1, 2018, through February 28, 2020) comparator group.

View Article and Find Full Text PDF

We determined whether metabolic syndrome (MetS) and the increasing number of its components influenced the resting energy expenditure (REE). Data on adult men ( = 72, 40%) and women ( = 108, 60%) from European ( = 154, 86%) and Sub-Saharan African ( = 26, 14%) ancestry were used. Ninety-five (53%) participants had MetS (MetS+), while 85 (47%) were without MetS (MetS-).

View Article and Find Full Text PDF

Modern epidemiological analyses to understand and combat the spread of disease depend critically on access to, and use of, data. Rapidly evolving data, such as data streams changing during a disease outbreak, are particularly challenging. Data management is further complicated by data being imprecisely identified when used.

View Article and Find Full Text PDF