Surgical treatment and operation time in human immunodeficiency virus-negative cryptococcal meningitis

Subacute Hydrocephalus Revealing a Cryptococcus Infection in a Seven-Year-Old Child

Cryptococcal meningitis (CM) is the third most common neurological complication in immunocompromised patients and is usually associated with high rates of morbidity and mortality. The most common complication of CM is intracranial hypertension (ICH), and it constitutes a poor prognosis factor. This case report describes a case of subacute onset hydrocephalus revealing a human immunodeficiency virus (HIV)-associated CM in a seven-year-old girl requiring cerebrospinal fluid diversion and fungal treatment with a favorable outcome.

The consensus guideline of perioperative antiviral therapy for AIDS patients in China based on clinical practice

The prevalence of human immunodeficiency virus (HIV) and acquired immune deficiency syndrome (AIDS) has emerged as a major public health concern in China. When patients with HIV infection undergo surgical treatment, there are two main challenges. Firstly, medical staff face a high risk of HIV infection due to occupational exposure. Secondly, the patient's immune function is impaired, increasing the risk of opportunistic infections and postoperative complications. The surgical treatment of such patients is unique, and the risk of occupational exposure during the operation primarily depends upon the viral load of HIV/AIDS patients. Therefore, perioperative antiretroviral therapy is of paramount importance in order to standardize the perioperative antiretroviral therapy (ART) for HIV/AIDS patients. The Surgery Group of the Chinese Association of STD and AIDS Prevention and Control, in collaboration with the Treatment Association, and Surgery Group of the Chinese Medical Association of Tropical Diseases and Parasitology, has developed an expert consensus on perioperative antiretroviral therapy for HIV/AIDS patients. This consensus encompasses various aspects, including surgical risk assessment, selection of perioperative antiretroviral therapy regimens, prevention of opportunistic infections, and the crucial focus on rapid preoperative viral load reduction and immune function reconstruction for HIV/AIDS patients.

Reversible deafness and blindness in Cryptococcus gattii meningitis with a ventriculoperitoneal shunt: A case report and literature review

Cryptococcus gattii (C. gattii) has been considered a leading cause of meningitis in immunocompetent hosts in tropical and subtropical regions. Visual loss is common but hearing impairment is relatively infrequent in C. gattii meningitis. Notably, there have been limited studies on the etiology, and especially therapy of auditory and ocular complications associated with C. gattii meningitis. Here we report a case of reversible deafness and blindness treated with a ventriculoperitoneal shunt (VPS) surgery in C. gattii meningitis. This case indicated that elevated intracranial pressure (ICP) may play a role in the concurrent hearing and vision impairments associated with C. gattii meningitis and the early VPS surgery after the initiation of the antifungal therapy may effectively improve both hearing and vision in this condition.

Prediction of Intracranial Infection in Patients under External Ventricular Drainage and Neurological Intensive Care: A Multicenter Retrospective Cohort Study

Objective: To generate an optimal prediction model along with identifying major contributors to intracranial infection among patients under external ventricular drainage and neurological intensive care. Methods: A retrospective cohort study was conducted among patients admitted into neurointensive care units between 1 January 2015 and 31 December 2020 who underwent external ventricular drainage due to traumatic brain injury, hydrocephalus, and nonaneurysmal spontaneous intracranial hemorrhage. Multivariate logistic regression in combination with the least absolute shrinkage and selection operator regression was applied to derive prediction models and optimize variable selections. Other machine-learning algorithms, including the support vector machine and K-nearest neighbor, were also applied to derive alternative prediction models. Five-fold cross-validation was used to train and validate each model. Model performance was assessed by calibration plots, receiver operating characteristic curves, and decision curves. A nomogram analysis was developed to explicate the weights of selected features for the optimal model. Results: Multivariate logistic regression showed the best performance among the three tested models with an area under curve of 0.846 ± 0.006. Six variables, including hemoglobin, albumin, length of operation time, American Society of Anesthesiologists grades, presence of traumatic subarachnoid hemorrhage, and a history of diabetes, were selected from 37 variable candidates as the top-weighted prediction features. The decision curve analysis showed that the nomogram could be applied clinically when the risk threshold is between 20% and 100%. Conclusions: The occurrence of external ventricular-drainage-associated intracranial infections could be predicted using optimal models and feature-selection approaches, which would be helpful for the prevention and treatment of this complication in neurointensive care units.