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BACKGROUND Neurological complications have been observed in approximately 30% of hospitalized COVID-19 patients. The aim of this study was to evaluate whether early assessment of the Neurological Pupil Index (NPiTM) derived from an automated pupillometry could predict mortality in critically ill COVID-19 patients. METHODS Retrospective cohort study of adult critically ill COVID-19 patients admitted to the intensive care unit of a University Hospital; patients without NPi measurement were excluded. The worst NPi (i.e. lowest value from one eye) was collected daily and then computed over the first five days of assessment. Mortality was assessed at hospital discharge. The secondary endpoint involved assessing differences in neurological assessments between patients who developed neurological complications and those who did not. RESULTS A total of 217 patients were included over the study period (median age 61 [50-68] years), 70% were males. A total of 97 patients (45%) died during the hospital stay. Among all patients, 35 (16%) experienced neurological complications. Non-survivors showed significantly a lower overall NPi (3.0 [2.0-4.1] vs. 3.4 [2.7-4.2]; P=0.04) than survivors. At multivariate logistic regression NPi was not significantly associated with in-hospital mortality. Moreover, no differences in different NPi measurements were observed between patients with and without neurological complications. CONCLUSIONS In this study, NPi values were not independent predictor of mortality and neurological complications in critically ill COVID-19 patients.
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Garone et al. (2024) studied this question.
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