Acute Hydrocephalus Associated with Streptococcus anginosus Meningitis.

Introduction: Meningitis-related acute hydrocephalus is rare, challenging to diagnose, and has a high mortality rate. Case description: Here we describe the case of a 76-year-old patient diagnosed with bacterial meningitis who developed acute hydrocephalus and subsequently died. Discussion: Although meningitis-related acute hydrocephalus is usually non-occlusive, occlusive hydrocephalus may also occur. Moreover, worsening hydrocephalus despite cerebrospinal fluid drainage should prompt a diagnosis of obstructive hydrocephalus. In such conditions, potential management strategies include ventriculoperitoneal shunt and endoscopic third ventriculostomy. Conclusion: In patients with meningitis-related hydrocephalus, worsening despite appropriate antibiotic administration, treatment may be complicated by ventriculitis and obstructive hydrocephalus, which can be fatal. If intracranial pressure is not medically controlled, bilateral decompression craniectomy should be considered as a potential management strategy. LEARNING POINTS: The extreme rarity of obstructive hydrocephalus caused by bacterial meningitis can lead to delayed diagnosis and treatment.Ventriculoperitoneal shunt and endoscopic third ventriculostomy are the indicated management strategies for early diagnosis of obstructive hydrocephalus.Bilateral decompression craniectomy may be an option in such cases.

Effects of pleural drainage on oxygenation in critically ill patients.

AIM: Pleural effusion is common among critically ill patients and associated with clinical consequences; however, the benefits of draining pleural effusion remain debatable. Thus, we aimed to investigate pleural drainage effectiveness by focusing on preprocedure patient status. METHODS: We retrospectively analyzed 22 patients with pleural effusion. Gas exchange, ventilator settings, vital signs, inflammatory response, and nutrition status were examined preprocedure and 24 h and 1 week postprocedure. Data were analyzed using the non-parametric test and discriminant analysis with receiver operating characteristic curves. RESULTS: The partial arterial oxygen pressure (PaO2) to fraction of inspiratory oxygen (FIO2) (P/F) ratio at 24 h was higher postdrainage than predrainage (250 ± 87 versus 196 ± 84, P < 0.05); however, no significant difference between the P/F ratio predrainage and 1 week postdrainage was noted. Patients were classified into effective and ineffective groups according to a 110% increase in the P/F ratio 1 week postdrainage compared with predrainage. The predrainage P/F ratio was lower in the effective group than in the ineffective group (165 ± 91 versus 217 ± 74, P < 0.05). Discriminant analysis showed the area under the receiver operating characteristic curve was 0.72; the cut-off value of the predrainage P/F ratio (divided into effective and ineffective groups) was 174. CONCLUSIONS: Pleural drainage could be effective in patients who have lower preprocedure P/F ratios.

Validation of the Prediction of Delirium for Intensive Care model to predict subsyndromal delirium.

AIM: Subsyndromal delirium is associated with prolonged intensive care unit stays, and prolonged mechanical ventilation requirements. The Prediction of Delirium for Intensive Care (PRE-DELIRIC) model can predict delirium. This study was designed to verify if it can also predict development of subsyndromal delirium. METHODS: We undertook a single-center, retrospective observation study in Japan. We diagnosed subsyndromal delirium based on the Intensive Care Delirium Screening Checklist. We calculated the sensitivity and specificity of the PRE-DELIRIC model and obtained a diagnostic cut-off value. RESULTS: We evaluated data from 70 patients admitted to the mixed medical intensive care unit of the Tokyo Medical University Hospital (Tokyo, Japan) between May 2015 and February 2017. The prevalence of subsyndromal delirium by Intensive Care Delirium Screening Checklist was 31.4%. The area under the receiver operating characteristic curve was 0.83 of the PRE-DELIRIC model for subsyndromal delirium. The calculated cut-off value was 36 points with a sensitivity of 94.3% and specificity of 57.1%. Subsyndromal delirium was associated with a higher incidence of delirium (odds ratio, 8.81; P < 0.01). CONCLUSION: The PRE-DELIRIC model could be a tool for predicting subsyndromal delirium using a cut-off value of 36 points.