Threshold of Inotropic Score and Vasoactive–Inotropic Score for Predicting Mortality in Pediatric Septic Shock

Objective To determine the threshold of the inotropic score (IS) and vasoactive–inotropic score (VIS) for predicting mortality in pediatric septic shock. Method This retrospective cohort study included children aged 1 mo to 13 y with septic shock, requiring vasoactive medication. The area under curve receiver operating characteristic (AUROC) was calculated using mean IS and mean VIS to predict PICU mortality, and Youden index cut points were generated. Sensitivity, specifcity, and binary regression analysis were performed. Results A total of 176 patients were enrolled (survivor, n=72, 41% and nonsurvivor, n=104, 59%). For predicting the PICU mortality, AUROC (95% CI) of IS was 0.80 (0.74–0.86) [sensitivity of 88.5 (80.7–94) and specifcity of 58.3 (46.1–69.8)] and AUROC of VIS was 0.88 (0.82–0.92) [sensitivity of 83.7 (75.1–90.2) and specifcity of 80.6 (69.5–89)]. The respective cutof scores of IS and VIS were 28 and 42.5. On regression analysis (adjusted odds ratio, 95% CI), illness severity (PRISM-III) (1.12, 1.05–1.12), worst lactate value (1.31, 1.08–1.58), IS (>28) (3.98, 1.24–12.80), and VIS (>42.5) (4.66, 1.57–13.87) independently predicted the PICU mortality (r 2=0.625). Conclusion Threshold of inotropic score (>28) and vasoactive–inotropic score (>42.5) were independently associated with PICU mortality. In addition to IS and VIS, severity and worst lactate value independently predicted septic shock mortality in PICU.

Proposal of Research Model for the Detection of COVID-19 among Asymptomatic Carriers

Abstract Coronavirus disease 2019 (COVID-19) is a pandemic and rapidly progressing infectious disease that represents a global health care emergency due to severe acute respiratory syndrome. Rapid tests detect antigen or antibody presence, which is useful for patient care and for assisting in disease surveillance and epidemiological research. The complicating aspect of the COVID-19 spread may be due to asymptomatic individuals. Unfortunately, asymptomatic individuals are not detected in the early stages of infection, which could help to prevent community spread. The present paper shares an opinion through the proposal of a research model for detecting COVID-19 among asymptomatic carriers.