The FIB-4 scores in the emergency department to predict the outcomes of COVID-19 patients in taiwan.

Objective: We aimed to determine the reliability of using the Fibrosis-4 (FIB-4) index in COVID-19 patients without underlying liver illness. Method: We employed multivariate logistic regression to identify variables that exhibited statistically significant influence on the ultimate outcome. Multilayer perceptron analysis was employed to develop a prediction model for the FIB-4 index concerning ICU admission and intubation rates. However, the scarcity of cases rendered the assessment of the mortality rate unfeasible. We plotted ROC curves to analyze the predictive strength of the FIB-4 index across various age groups. Result: In univariate logistic regression, only the FIB-4 index and respiratory rate demonstrated statistical significance on all poor outcomes. The FIB-4 index for mortality prediction had an ROC and AUC of 0.863 (95% CI: 0.781-0.9444). It demonstrates predictive power across age groups, particularly for age ≥65 (AUC: 0.812, 95% CI: 0.6571-0.9673) and age <65 (AUC: 0.878, 95% CI: 0.8012-0.9558). Its sensitivity for intubation and ICU admission prediction is suboptimal. Conclusion: FIB-4 index had promising power in prediction of mortality rate in all age groups.

Spontaneous Pneumocephalus: A Case Report with a Literature Review.

BACKGROUND: Pneumocephalus is defined as gas in the intracranial space. Common causes include head trauma, surgery, and diagnostic/therapeutic procedures resulting from the direct disruption of the dura. Spontaneous or nontraumatic pneumocephalus is an uncommon condition, often caused by infection, either due to insidious disruption of the dura or gas-forming pathogens. CASE REPORT: Herein, we report a rare case of spontaneous pneumocephalus associated with meningitis in a patient who received conservative treatment without surgical intervention. Blood culture revealed group A streptococcus. The pneumocephalus subsided gradually with antibiotic treatment, and no neurological deficits remained. A follow-up brain computed tomography scan showed the absence of pneumocephalus, but it showed progressive hydrocephalus. The patient was discharged on the 21st day of hospitalization. WHY SHOULD AN EMERGENCY PHYSICIAN BE AWARE OF THIS?: Spontaneous pneumocephalus associated with meningitis is rare. It should always raise the suspicion of meningitis and prompt suitable treatment. Emergency physicians should always be vigilant for this particular possibility on brain computed tomography.

The hypoxia-age-shock index at triage to predict the outcomes of Covid-19 patients.

STUDY OBJECTIVE: The coronavirus disease 2019 (COVID-19) outbreak has caused a severe burden on medical professionals, as the rapid disposition of patients is important. Therefore, we aimed to develop a new clinical assessment tool based on the shock index (SI) and age-shock index (ASI). We proposed the hypoxia-age-shock index (HASI) and determined the usability of triage for COVID-19 infected patients in the first scene. METHODS: The predictive power for three indexes on mortality, intensive care unit (ICU) admission, and endotracheal intubation rate was evaluated using the receiver operating curve (ROC). We used DeLong's method for comparing the ROCs. RESULTS: The area under the curve (AUC) for ROC on mortality for SI, ASI, and HASI were 0.546, 0.771, and 0.773, respectively. The AUC on ICU admission mortality for SI, ASI, and HASI were 0.581, 0.700, and 0.743, respectively. The AUC for intubation for SI, ASI, and HASI were 0.592, 0.708, and 0.757, respectively. The AUC differences between HASI and SI showed statistically significant (P = 0.001) results on mortality, ICU admission, and intubation. Additionally, statistically significant results were found for the AUC difference between the HASI and ASI on ICU admission and intubation (P = 0.001 and P = 0.004, respectively). CONCLUSION: HASI can provide a better prediction compared to ASI on ICU admission and endotracheal intubation. HASI was more sensitive in mortality, ICU admission, and intubation prediction than the ASI.