Abstract Background Monocyte distribution width (MDW) is a novel marker of monocyte activation, which is known to occur in the immune response to viral pathogens. Our objective was to determine the diagnostic performance of MDW and other leukocyte parameters for SARS-CoV-2 and influenza infection. Methods This was a prospective cohort analysis of adult patients who underwent complete blood count (CBC) and SARS-CoV-2 or influenza testing in an Emergency Department (ED) between January 2020 and July 2021. The primary outcome was SARS-CoV-2 or influenza infection. Secondary outcomes were measures of severity of illness including inpatient hospitalization, critical care admission, hospital lengths of stay and mortality. Descriptive statistics and diagnostic performance measures were evaluated for monocyte percentage, MDW, white blood cell (WBC) count, and neutrophil to lymphocyte ratio (NLR). Results 3,425 ED patient visits were included. SARS-CoV-2 testing was performed during 1,923 visits with a positivity rate of 5.4%; influenza testing was performed during 2,090 with a positivity rate of 2.3%. MDW was elevated in patients with SARS-Cov-2 (median 23.0U; IQR 20.5–25.1) or influenza (median 24.1U; IQR 22.0-26.9) infection, as compared to those without (18.9U; IQR 17.4–20.7 and 19.1U; 17.4–21, respectively, p < 0.001). Monocyte percentage, WBC and NLR values were within normal range in patients testing positive for either virus. MDW identified SARS-CoV-2 and influenza positive patients with an area under the curve (AUC) of 0.83 (95% CI 0.79–0.86) and 0.83 (95% CI 0.77–0.88), respectively. At the accepted cut-off value of 20U for MDW, sensitivities were 83.7% (95% CI 76.5–90.8%) for SARS-CoV-2 and 89.6% (95% CI 80.9–98.2%) for influenza, compared to sensitivities below 45% for monocyte percentage, WBC and NLR. MDW negative predictive values were 98.6% (95% CI 98.0-99.3%) and 99.6% (95% CI 99.3–100.0%) respectively for SARS-CoV-2 and influenza. Conclusions Monocyte Distribution Width (MDW), available on a routine complete blood count (CBC) with differential, is sensitive and specific for the early detection of SARS-CoV-2 and influenza infection.
Objective: Gaps remain in our understanding on how COVID19 affects trends in pediatric trauma, the leading cause of mortality and morbidity during childhood and adolescence.Methods: We compared high acuity trauma visits (requiring admission, surgery, or fatality) presenting between March through February 2021 to corresponding months in 2017-2019. We evaluated the changes in mechanisms of injury and Area Deprivation Index (ADI), a measure of socioeconomic disadvantage, during this time period. Data were analyzed using longitudinal time series analyses and t-tests.Results: Of 687 traumas presenting from March 2020 through February 2021, 322 were high acuity traumas. High acuity traumas declined significantly to a nadir of 16 in April 2020. High acuity traumas increased and surpassed previous years to a peak of 40 visits in August 2020 and from October through December 2020. There were more visits for high acuity assaults and confirmed or suspected physical child abuse but fewer for falls, drownings, and motor vehicle accidents from March to August 2020 and from October through December 2020 compared to prior years. High acuity assaults were from the most disadvantaged areas from March through August 2020, whereas physical child abuse cases were from the most disadvantaged areas from October through December 2020.Conclusion: This analysis provides insight into how the COVID19 pandemic has affected high acuity trauma in an inner-city pediatric population. Findings may be used to guide public health measures on safety and injury prevention as the pandemic continues.
Background Chronic pain is a complex condition with short and long-term effects on physical and psychosocial health. Nature exposure therapy has been investigated as a potential non-pharmacological intervention to improve physical and emotional health of individuals with chronic pain. This proposed systematic review aims to examine the effects of nature exposure therapy on pain experience and quality of life in patients with chronic pain. Methods Studies will be identified by searching the MEDLINE, Embase and Cumulative Index for Nursing and Allied Health Literature (CINAHL) databases. All included studies will be required to be interventional controlled trials comparing nature exposure therapy to placebo or standard care in patients with chronic pain. Primary outcomes for this review will be pain intensity and quality of life scores. Secondary outcomes will include self-efficacy, depression and pain-related anxiety scores. If 2 or more studies are included, results will be pooled for meta-analysis. If meta-analysis is not possible, the results will be presented in a narrative form. Discussion Given the adverse effects of opioid use, non-pharmacological interventions are a necessary alternative to treat patients with chronic pain. Nature exposure therapy is an intriguing example of such an intervention. We hope that this systematic review will guide future clinical decision-making for patients with chronic pain and provide evidence for or against the need for natural spaces and improved urban planning. Trial registration PROSPERO registration number: CRD42021226949 .
Although the instances of Special Operations Forces (SOF) medical providers treating pediatric pelvic fractures are rare, such fractures are notable injuries in terror attacks and are at high risk for morbidity and mortality for the patient as well as stress for the provider. Presently, guidelines for pediatric-sized pelvic stabilization device application are limited to measured pelvic circumference. This study aims to inform more practical sizing guidelines.Subjects aged 1 year to 14 years were enrolled. Subject height, weight, pelvic circumference, and fit on the Broselow Pediatric Emergency Tape® (Armstrong Medical Industries), fit with the Pediatric PelvicBinder® (PelvicBinder), and fit with the small SAM Pelvic Sling® (SAM® Medical) were collected. The primary outcome was the proportion of subjects fitting each device.Sixty-five subjects were recruited; median age was 5 years (interquartile range, 1-8 years); 40 (62%) subjects were male. Ninety-one percent of subjects fit within the scale of the Broselow Tape (height <143-cm). One hundred percent of subjects with a height <143-cm had an appropriate fit with the Pediatric PelvicBinder (95% confidence level [CI], 91.8-100%), while 91.7% of subjects with a height >143-cm fit the SAM Pelvic Sling (95%CI, 61.5-99.8%).Providers should attempt to fit the Pediatric PelvicBinder for children >1 year old with suspected unstable pelvic fracture who fall on the Broselow Tape (<143-cm). The small SAM Pelvic Sling should be used for those taller than 143-cm.
Abstract Objective To investigate how missing data in the patient problem list may impact racial disparities in the predictive performance of a machine learning (ML) model for emergency department (ED) triage. Materials and Methods Racial disparities may exist in the missingness of EHR data (eg, systematic differences in access, testing, and/or treatment) that can impact model predictions across racialized patient groups. We use an ML model that predicts patients’ risk for adverse events to produce triage-level recommendations, patterned after a clinical decision support tool deployed at multiple EDs. We compared the model’s predictive performance on sets of observed (problem list data at the point of triage) versus manipulated (updated to the more complete problem list at the end of the encounter) test data. These differences were compared between Black and non-Hispanic White patient groups using multiple performance measures relevant to health equity. Results There were modest, but significant, changes in predictive performance comparing the observed to manipulated models across both Black and non-Hispanic White patient groups; c-statistic improvement ranged between 0.027 and 0.058. The manipulation produced no between-group differences in c-statistic by race. However, there were small between-group differences in other performance measures, with greater change for non-Hispanic White patients. Discussion Problem list missingness impacted model performance for both patient groups, with marginal differences detected by race. Conclusion Further exploration is needed to examine how missingness may contribute to racial disparities in clinical model predictions across settings. The novel manipulation method demonstrated may aid future research.
