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1.
Pediatr Emerg Care ; 38(8): e1479-e1484, 2022 Aug 01.
Article in English | MEDLINE | ID: mdl-35383693

ABSTRACT

OBJECTIVE: This study aimed to compare the performance of a pediatric decision support algorithm to detect severe sepsis between high-risk pediatric and adult patients in a pediatric emergency department (PED). METHODS: This is a retrospective cohort study of patients presenting from March 2017 to February 2018 to a tertiary care PED. Patients were identified as high risk for sepsis based on a priori defined criteria and were considered adult if 18 years or older. The 2-step decision support algorithm consists of (1) an electronic health record best-practice alert (BPA) with age-adjusted vital sign ranges, and (2) physician screen. The difference in test characteristics of the intervention for the detection of severe sepsis between pediatric and adult patients was assessed at 0.05 statistical significance. RESULTS: The 2358 enrolled subjects included 2125 children (90.1%) and 233 adults (9.9%). The median ages for children and adults were 3.8 (interquartile range, 1.2-8.6) and 20.1 (interquartile range, 18.2-22.0) years, respectively. In adults, compared with children, the BPA alone had significantly higher sensitivity (0.83 [95% confidence interval {CI}, 0.74-0.89] vs 0.72 [95% CI, 0.69-0.75]; P = 0.02) and lower specificity (0.11 [95% CI, 0.07-0.19] vs 0.48 [95% CI, 0.45-0.51; P < 0.001). With the addition of provider screen, sensitivity and specificity were comparable across age groups, with a lower negative predictive value in adults compared with children (0.66 [95% CI, 0.58-0.74] vs 0.77 [95% CI, 0.75-0.79]; P = 0.005). CONCLUSIONS: The BPA was less specific in adults compared with children. With the addition of provider screen, specificity improved; however, the lower negative predictive value suggests that providers may be less likely to suspect sepsis even after automated screen in adult patients. This study invites further research aimed at improving screening algorithms, particularly across the diverse age spectrum presenting to a PED.


Subject(s)
Sepsis , Adult , Child , Child, Preschool , Electronics , Emergency Service, Hospital , Humans , Infant , Retrospective Studies , Sensitivity and Specificity , Sepsis/diagnosis , Sepsis/epidemiology
2.
Am J Obstet Gynecol MFM ; 2(4): 100198, 2020 11.
Article in English | MEDLINE | ID: mdl-32838274

ABSTRACT

Background: Risk factors for severe acute respiratory syndrome coronavirus 2 infection in pregnancy remain poorly understood. Identifying and understanding populations at a heightened risk of acquisition is essential to more effectively target outreach and prevention efforts. Objective: This study aimed to compare sociodemographic and clinical characteristics of pregnant women with and without severe acute respiratory syndrome coronavirus 2 infection and, among those with severe acute respiratory syndrome coronavirus 2, to compare characteristics of those who reported coronavirus disease symptoms and those who were asymptomatic at diagnosis. Study Design: This retrospective cohort study includes pregnant women who delivered or intended to deliver at Northwestern Memorial Hospital after initiation of a universal testing protocol on admission (April 8, 2020-May 31, 2020). Women were dichotomized by whether they had a positive test result for severe acute respiratory syndrome coronavirus 2. Among women with a positive test result, women were further dichotomized by whether they reported symptoms of coronavirus disease 2019. Bivariable analysis and parametric tests of trend were used for analyses. Logistic regression was used to control for potential confounders and to examine effect modification between race and ethnicity and any other identified risk factors. Results: During the study period, 1418 women met inclusion criteria, of whom 101 (7.1%) had a positive test result for severe acute respiratory syndrome coronavirus 2. Of the 101 women who had a positive test result, 77 (76.2%) were symptomatic at the time of diagnosis. Compared with women who had a negative test result for severe acute respiratory syndrome coronavirus 2, those with a positive test result were younger and were more likely to have public insurance, to identify as black or African American or Latina, to be unmarried, to be obese, to have preexisting pulmonary disease, and to have living children. An increasing number of living children was associated with an increasing risk of severe acute respiratory syndrome coronavirus 2 infection, and this finding persisted after controlling for potential confounders. There was no effect modification between race or ethnicity and having living children with regard to the risk of infection. There were no significant differences identified between women who were symptomatic and asymptomatic. Conclusion: Many risk factors for severe acute respiratory syndrome coronavirus 2 infection in pregnancy are similar to the social and structural determinants of health that have been reported in the general population. The observed association between severe acute respiratory syndrome coronavirus 2 infection and having children raises the possibility of children themselves being vectors of viral spread or behavior patterns of parents being mediators of acquisition.


Subject(s)
COVID-19 Testing , COVID-19 , Pregnancy Complications, Infectious , Risk Assessment , SARS-CoV-2/isolation & purification , Social Determinants of Health , COVID-19/diagnosis , COVID-19/epidemiology , COVID-19/physiopathology , COVID-19 Testing/methods , COVID-19 Testing/statistics & numerical data , Child , Female , Humans , Pregnancy , Pregnancy Complications, Infectious/epidemiology , Pregnancy Complications, Infectious/physiopathology , Pregnancy Complications, Infectious/virology , Pregnancy Outcome/epidemiology , Retrospective Studies , Risk Assessment/methods , Risk Assessment/statistics & numerical data , Risk Factors , Social Determinants of Health/ethnology , Social Determinants of Health/statistics & numerical data , Symptom Assessment/statistics & numerical data , United States/epidemiology
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