Impact of the COVID-19 Pandemic on Pediatric Emergency Medicine: A Systematic Review.

(1) Background and Objectives: The COVID-19 pandemic has considerably affected clinical systems, especially the emergency department (ED). A decreased number of pediatric patients and changes in disease patterns at the ED have been noted in recent research. This study investigates the real effect of the pandemic on the pediatric ED comprehensively by performing a systematic review of relevant published articles. (2) Materials and Methods: A systematic review was conducted based on a predesigned protocol. We searched PubMed and EMBASE databases for relevant articles published until 30 November 2021. Two independent reviewers extracted data by using a customized form, and any conflicts were resolved through discussion with another independent reviewer. The aggregated data were summarized and analyzed. (3) Results: A total of 25 articles discussing the impact of COVID-19 on pediatric emergencies were included after full-text evaluation. Geographic distribution analysis indicated that the majority of studies from the European continent were conducted in Italy (32%, 8/25), whereas the majority of the studies from North America were conducted in the United States (24%, 6/25). The majority of the studies included a study period of less than 6 months and mostly focused on the first half of 2020. All of the articles revealed a decline in the number of pediatric patients in the ED (100%, 25/25), and most articles mentioned a decline in infectious disease cases (56%, 14/25) and trauma cases (52%, 13/25). (4) Conclusions: The COVID-19 pandemic resulted in a decline in the number of pediatric patients in the ED, especially in the low-acuity patient group. Medical behavior changes, anti-epidemic policies, increased telemedicine use, and family financial hardship were possible factors. A decline in common pediatric infectious diseases and pediatric trauma cases was noted. Researchers should focus on potential child abuse and mental health problems during the pandemic.

Using Machine Learning to Develop and Validate an In-Hospital Mortality Prediction Model for Patients with Suspected Sepsis.

BACKGROUND: Early recognition of sepsis and the prediction of mortality in patients with infection are important. This multi-center, ED-based study aimed to develop and validate a 28-day mortality prediction model for patients with infection using various machine learning (ML) algorithms. METHODS: Patients with acute infection requiring intravenous antibiotic treatment during the first 24 h of admission were prospectively recruited. Patient demographics, comorbidities, clinical signs and symptoms, laboratory test data, selected sepsis-related novel biomarkers, and 28-day mortality were collected and divided into training (70%) and testing (30%) datasets. Logistic regression and seven ML algorithms were used to develop the prediction models. The area under the receiver operating characteristic curve (AUROC) was used to compare different models. RESULTS: A total of 555 patients were recruited with a full panel of biomarker tests. Among them, 18% fulfilled Sepsis-3 criteria, with a 28-day mortality rate of 8%. The wrapper algorithm selected 30 features, including disease severity scores, biochemical parameters, and conventional and few sepsis-related biomarkers. Random forest outperformed other ML models (AUROC: 0.96; 95% confidence interval: 0.93-0.98) and SOFA and early warning scores (AUROC: 0.64-0.84) in the prediction of 28-day mortality in patients with infection. Additionally, random forest remained the best-performing model, with an AUROC of 0.95 (95% CI: 0.91-0.98, p = 0.725) after removing five sepsis-related novel biomarkers. CONCLUSIONS: Our results demonstrated that ML models provide a more accurate prediction of 28-day mortality with an enhanced ability in dealing with multi-dimensional data than the logistic regression model.

Bacterial Pericarditis Caused by Penetration of a Migrated Biliary Stent from the Lateral Segment of the Liver: A Case Report.

Endoscopic biliary stent insertion is a well-established procedure that is indispensable in the management of various benign and malignant biliary disorders, and one that helps prevent mortality related to invasive surgical procedures. We report a rare case of the distal migration of a biliary stent outside the abdomen to the pericardium, inducing constrictive pericarditis and septic shock. This case alerts clinicians to be aware of potential adverse events that can lead to unfavorable patient outcomes. Such adverse events can be effectively avoided through early detection and intervention.

Association of In-Hospital Mortality and Dysglycemia in Septic Patients.

BACKGROUND: The associations between dysglycemia and mortality in septic patients with and without diabetes are yet to be confirmed. Our aim was to analyze the association of diabetes and sepsis mortality, and to examine how dysglycemia (hyperglycemia, hypoglycemia and glucose variability) affects in-hospital mortality of patients with suspected sepsis in emergency department (ED) and intensive care units. METHODS: Clinically suspected septic patients admitted to ED were included, and stratified into subgroups according to in-hospital mortality and the presence of diabetes. We analyzed patients' demographics, comorbidities, clinical and laboratory parameters, admission glucose levels and severity of sepsis. Odds ratio of mortality was assessed after adjusting for possible confounders. The correlations of admission glucose and CoV (blood glucose coefficients of variation) and mortality in diabetes and non-diabetes were also tested. RESULTS: Diabetes was present in 58.3% of the patients. Diabetic patients were older, more likely to have end-stage renal disease and undergoing hemodialysis, but had fewer malignancies, less sepsis severity (lower Mortality in Emergency Department Sepsis Score), less steroid usage in emergency department, and lower in-hospital mortality rate (aOR:0.83, 95% CI 0.65-0.99, p = 0.044). Hyperglycemia at admission (glucose≥200 mg/dL) was associated with higher risks of in-hospital mortality among the non-diabetes patients (OR:1.83 vs. diabetes, 95% CI 1.20-2.80, p = 0.005) with the same elevated glucose levels at admission. In addition, CoV>30% resulted in higher risk of death as well (aOR:1.88 vs. CoV between 10 and 30, 95%CI 1.24-2.86 p = 0.003). CONCLUSIONS: This study indicates that while diabetes mellitus seems to be a protective factor in sepsis patients, hyper- or hypoglycemia status on admission, and increased blood glucose variation during hospital stays, were independently associated with increased odds ratio of mortality.

Myxedema Coma Patient in Emergency Department: A Case Report.

Hypothermic patients are rare encountered in emergency department (ED). It often represents critical condition that needs prompt management and diagnosis. Myxedema coma, which may cause severe hypothermia, is truly an endocrine emergency and needs early recognition and proper treatment. We present a case of a 47-year-old female with a history of hyperthyroidism status post thyroidectomy was brought to the ED because of progressive dyspnea associated with general weakness for one month. Hypothermia with decreased mental status and general edema were also noted. Hypothyroidism was confi rmed by laboratory examination and myxedema coma was diagnosed. The patient recovered well and there was no complication noted after intensive care with supplements of thyroxine and glucocorticoid. In conclusion, myxedema coma should be considered in decrease mental status and hypothermic patients with a history of hypothyroidism or thyroidectomy. Besides, long-standing hypothyroidism or encountering precipitating acute events, such as sepsis, cerebrovascular accident, gastrointestinal bleeding, exposure to cold, trauma or certain medications may also cause this condition. High mortality rate was reported, and the treatment should be instituted in patient with presumed myxedema coma without delay.

Usefulness of natriuretic peptide for the diagnosis of Kawasaki disease: a systematic review and meta-analysis.

OBJECTIVE: To examine the diagnostic value of serum B-type natriuretic peptide (BNP) in acute Kawasaki disease (KD). DESIGN: Systematic review and meta-analysis. DATA SOURCES: A systematic literature search strategy was designed and carried out using MEDLINE, EMBASE and the Cochrane Library from inception to December 2013. We also performed manual screening of the bibliographies of primary studies and review articles, and contacted authors for additional data. STUDY ELIGIBILITY CRITERIA: We included all BNP and NT-pro (N-terminal prohormone) BNP assay studies that compared paediatric patients with KD to patients with febrile illness unrelated to KD. We excluded case reports, case series, review articles, editorials, congress abstracts, clinical guidelines and all studies that compared healthy controls. PRIMARY AND SECONDARY OUTCOME MEASURES: The performance characteristics of BNP were summarised using forest plots, hierarchical summary receiver operating characteristic (ROC) curves and bivariate random effects models. RESULTS: We found six eligible studies including 279 cases of patients with KD and 203 febrile controls. Six studies examined NT-proBNP and one examined BNP. In general, NT-proBNP is a specific and moderately sensitive test for identifying KD. The pooled sensitivity was 0.89 (95% CI 0.78 to 0.95) and the pooled specificity was 0.72 (95% CI 0.58 to 0.82). The area under the summary ROC curve was 0.87 (95% CI 0.83 to 0.89). The positive likelihood ratio (LR+ 3.20, 95% CI 2.10 to 4.80) was sufficiently high to be qualified as a rule-in diagnostic tool in the context of high pre-test probability and compatible clinical symptoms. A high degree of heterogeneity was found using the Cochran Q statistic. CONCLUSIONS: Current evidence suggests that NT-proBNP may be used as a diagnostic tool for KD. NT-proBNP has high diagnostic value for identifying KD in patients with protracted undifferentiated febrile illness. Prospective large cohort studies are needed to help determine best cut-off values and further clarify the role of NT-proBNP in the diagnosis process of KD.

Serum procalcitonin and C-reactive protein levels as markers of bacterial infection in patients with liver cirrhosis: a systematic review and meta-analysis.

The diagnostic value of procalcitonin (PCT) for patients with liver cirrhosis is unclear. We searched the PubMed, EMBASE, and Cochrane databases for studies published through December 2013 that evaluated the diagnostic performance of PCT for patients with acute or chronic liver disease with suspected systemic infection. We summarized the test performance characteristics by using forest plots, hierarchical summary receiver operating characteristic curves, and bivariate random effects models. Our search identified 230 citations, of which 10 diagnostic studies that evaluated 1144 patients and 435 bacterial infection episodes (32.1%) were ultimately included for analysis. The bivariate pooled sensitivity estimates were 79% (95% confidence interval [CI]: 64%-89%) for PCT tests and 77% (95% CI: 69%-84%) for C-reactive protein (CRP) tests. Pooled specificity estimates were higher for both PCT and CRP tests (PCT, 89% [95% CI: 82%-94%]; CRP, 85% [95% CI: 76%-90%]). The positive likelihood ratio for PCT (LR+, 7.38, 95% CI: 4.70-11.58) was sufficiently high to qualify PCT as a rule-in diagnostic tool, and the negative likelihood ratio for CRP was sufficiently low to qualify CRP as an acceptable rule-out diagnostic tool (LR- 0.23, 95% CI: 0.13-0.41) in patients with no signs of infection. Available clinical evidence showed that PCT has comparable accuracy to CRP for the diagnosis of systemic infection in patients with liver cirrhosis. Compared with patients with normal liver function, both PCT and CRP tests have acceptable accuracy for diagnosing bacterial infection among patients with liver cirrhosis.