25 children ranging in age from 6 to 10 years participated in this bilateral split-mouth study evaluating two dental sealants for retention and secondary caries development. Data were collected comparing resin based and glass ionomer based sealants with and without tooth preparation at 6-month intervals over a 2 year period. Dataset includes demographic and clinical measures and sealant performance evaluation and comparison at 6, 12, 18 and 24 months.

An adapted version of the Brighton Collaboration priority list was used to evaluate serious adverse events (SAE) of special interest observed in mRNA Covid-19 vaccine trials. In December of 2020, reviewers searched journal publications and trial data on the FDA’s and Health Canada’s websites to locate SAE results tables for these trials. For each trial, blinded SAE tables were prepared. Using these blinded SAE tables, two clinician reviewers judged whether each SAE type was an adverse event of special interest (AESI). Risk ratios and risk differences between vaccine and placebo groups were calculated for the incidence of AESIs and SAEs.

The dataset includes information on patients aged 18 or older treated for acute promyelocytic leukemia (APL) at the University of Maryland Medical Center and Johns Hopkins Hospital between January 2000 and May 2020. It encompasses data on FLT3-ITD mutations, including allelic burden and insertion length estimation. Patient demographics, laboratory results, treatment regimens, and outcomes were recorded. Statistical analyses were performed using Stata, including chi-square tests, t-tests, ANOVA, correlations, logistic and linear regression, Kaplan–Meier survival analysis, and Cox regression to assess associations and compare survival among patient groups.

Twenty healthy young adults aged 18 to 35 years underwent various tests and measurements related to hip abduction and adduction strength, neuromuscular activation, muscle thickness via ultrasound imaging, and physical performance tests such as the Four Square Step Test (FSST) and the two-legged side hop test. Measures included maximal voluntary isometric contractions, surface electromyography (EMG) recordings, and ultrasound image acquisition. Statistical analyses involved Pearson's correlations and multiple regression analysis.

This study investigated the association of age with CD4+ cell counts of HIV patients receiving antiretroviral treatment (ART) over a 4 year period. Data were collected from 126,672 previously treatment-naïve patients in 4 Sub-Saharan African nations. The baseline CD4+ count was measured at onset of ART and at 6-month intervals thereafter. The predictor variable was the age at initiation of therapy with ages grouped in five 10-year ranges: 20-29, 30-39, 40-49, 50-59, and 60 and over. The following 8 baseline covariates were also noted: sex, WHO stage, functional status, active TB infection, active cryptococcal disease, active P. jiroveci pneumonia, other active opportunistic infections, and ART regimen. The resulting dataset includes 466,482 repeated CD4+ count measurements with demographic and other patient-related characteristics.

In 2015 the World Health Organization (WHO) eliminated CD4 restrictions for initiating antiretroviral therapy (ART) for people living with HIV (PLHIV) in developing countries. However, the success of therapy is also dependent upon additional health and demographic characteristics of HIV patients at the time they enroll in care. This study investigated pre-ART (time between enrollment and initiation of ART) factors associated with transition to therapy. Data was compiled from a review of 195,011 records of ART-naïve adults enrolled in HIV care and treatment facilities supported by AIDSRelief in Kenya and Tanzania. The outcome variable was transition out of pre-ART care by one of 4 mutually exclusive modes: started ART, died before ART initiation, lost to follow-up (LTFU), and transferred to another facility. The following baseline covariates were analyzed for their relevance to the mode of transition: sex, age at enrollment, CD4 count at enrollment, presence of tuberculosis at enrollment, presence of cryptococcal disease at enrollment, presence of other active opportunistic infections, and year of enrollment in care. The dataset includes demographic data and clinical measures.

The Amish Research Group of the University of Maryland School of Medicine has been studying the Old Order Amish population in Lancaster County, PA, since 1993. This database currently consists of health-related data on over 7,000 adults resulting from studies ranging from population and basic science to clinical and translational research. Areas of investigation include: Cardiovascular Risk, Diabetes, Bone Health, Blood Pressure, Vascular Imaging, Aging, Breast Tissue Density, Platelet Aggregation, Microbiome, Wellness, and Brain Imaging. Extensive genetic data (genotyping and sequencing) is also available.

This dataset is the result of a multi-center, 7 year prospective investigation into the biopsychosocial, environmental, and genetic risk factors associated with the onset and persistence of temporomandibular disorders (TMD). The OPPERA project consisted of 4 observational studies: a prospective cohort study of first-onset TMD, a baseline case-control study of chronic TMD, a matched case-control study of incident TMD, and a prospective case-cohort study of the course of TMD. Over 3,000 volunteers between the ages of 18-44 participated in the research. The data collected includes sociodemographic, psychosocial, clinical, physiological, and genetic (including biological pathways of genetic variants).

Periodic limb movements in sleep (PLMS) are associated with sleep fragmentation and sympathetic nervous system activation, which in turn have been linked to cognitive and behavioral deficits in children and cardiovascular morbidity in both adults and children. Emerging evidence indicates that many children with sickle cell disease (SCD) have elevated PLMS. The specific aims of this prospective, repeated-measures, descriptive study were to assess the agreement between PLMS measurement by actigraphy and concurrent polysomnography (PSG), to test the feasibility of measuring PLMS by actigraphy at home, to evaluate PLMS variability over consecutive nights by actigraphy, and to provide preliminary data on objective and subjective correlates of PLMS. Twenty children with SCD and restless legs syndrome (RLS) symptoms or polysomnography-documented PLMS underwent concurrent attended polysomnography and ankle activity monitoring over one to two nights and home activity monitoring for three nights. Serum iron and ferritin were measured pre- and post-polysomnography. The datasets associated with this study include demographic data, SCD subtype, polysomnographic/activity monitor values, medical history, and clinical measures.

A bi‐directional relationship exists between asthma and obstructive sleep apnea (OSA) in which presence of one is associated with increased prevalence and severity of the other. This study was undertaken to determine if OSA accounted for differences in airway and systemic inflammation in asthmatic children and if inflammation was associated with asthma control. 27 non-obese children aged 4-12 years with persistent asthma, with or without OSA, were recruited for the research. Asthma control was measured with the Childhood Asthma Control Test. Participants underwent polysomnography and blood sampling, and those with OSA also underwent clinically indicated adenotonsillectomy. Tonsils and sera were analyzed for 11 cytokines. The dataset includes demographic data, health history, spirometry/polysomnographic measures, and immunoassay values.