ABSTRACT
BACKGROUND: Central nervous system infections (CNSI) are diseases with high morbidity and mortality, and their diagnosis in the intensive care environment can be challenging. Objective: To develop and validate a diagnostic model to quickly screen intensive care patients with suspected CNSI using readily available clinical data. METHODS: Derivation cohort: 783 patients admitted to an infectious diseases intensive care unit (ICU) in Oswaldo Cruz Foundation, Rio de Janeiro RJ, Brazil, for any reason, between 01/01/2012 and 06/30/2019, with a prevalence of 97 (12.4%) CNSI cases. Validation cohort 1: 163 patients prospectively collected, between 07/01/2019 and 07/01/2020, from the same ICU, with 15 (9.2%) CNSI cases. Validation cohort 2: 7,270 patients with 88 CNSI (1.21%) admitted to a neuro ICU in Chicago, IL, USA between 01/01/2014 and 06/30/2019. Prediction model: Multivariate logistic regression analysis was performed to construct the model, and Receiver Operating Characteristic (ROC) curve analysis was used for model validation. Eight predictors-age <56 years old, cerebrospinal fluid white blood cell count >2 cells/mm3, fever (≥38°C/100.4°F), focal neurologic deficit, Glasgow Coma Scale <14 points, AIDS/HIV, and seizure-were included in the development diagnostic model (P<0.05). RESULTS: The pool data's model had an Area Under the Receiver Operating Characteristics (AUC) curve of 0.892 (95% confidence interval 0.864-0.921, P<0.0001). CONCLUSIONS: A promising and straightforward screening tool for central nervous system infections, with few and readily available clinical variables, was developed and had good accuracy, with internal and external validity.
Subject(s)
Central Nervous System Infections/diagnosis , Adult , Aged , Brazil , Chicago , Critical Care , Female , Glasgow Coma Scale , Humans , Intensive Care Units , Logistic Models , Male , Middle Aged , Multivariate Analysis , Prognosis , ROC Curve , Retrospective StudiesSubject(s)
Epidemics/prevention & control , Guillain-Barre Syndrome/etiology , Telemedicine/methods , Zika Virus Infection/complications , Brazil/epidemiology , Guillain-Barre Syndrome/diagnosis , Guillain-Barre Syndrome/epidemiology , Guillain-Barre Syndrome/therapy , Humans , Zika Virus Infection/diagnosis , Zika Virus Infection/epidemiology , Zika Virus Infection/therapyABSTRACT
Mild therapeutic hypothermia (MTH) results in a significant decrease in mortality and improvement of neurologic outcomes in cardiac arrest (CA) survivors. Cardiologists and intensivists must be acquainted with the indications and technique because MTH is the only proven neuroprotective therapy for CA survivors. CA involves reinstituting meaningful cardiac activity and minimizing secondary neurologic injuries. This article focuses on MTH as the main strategy for post-CA care.
