Viral (aseptic) meningitis: A review

Wright, William F.; Pinto, Casey N.; Palisoc, Kathryn; Baghli, Salim

doi:10.1016/j.jns.2019.01.050

Cited by 73 publications

(80 citation statements)

References 74 publications

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“…The gold standard diagnostic test is gonioscopy, which allows the direct visualization of the anterior angle and the aqueous humor outflow tracks via slit‐lamp examination. Alternative options if gonioscopy is not available include other methods of anterior chamber imaging, such as anterior segment optical coherence tomography and ultrasound biomicroscopy 101 …”

Section: Headache or Facial Pain Attributed To Disorder Of The Craniumentioning

confidence: 99%

“…Medical therapy is first initiated using topical beta‐adrenergic antagonists such as timolol, topical, oral or IV carbonic anhydrase inhibitors such as acetazolamide, topical alpha‐2 adrenergic agonists such as apraclonidine, topical miotics, or hyperosmotic agents. After a satisfactory reduction in intraocular pressure is achieved with the improvement of corneal edema, laser peripheral iridotomy is performed to remove pressure differentials between the anterior and posterior chambers 101 . Analgesics and anti‐emetics may be required to manage the pain.…”

Section: Headache or Facial Pain Attributed To Disorder Of The Craniumentioning

confidence: 99%

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Secondary Headache: Current Update

Born

Dilli

2020

Headache

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Purpose The purpose of this paper is to review some of the causes of secondary headache particularly focusing on the subcategories of secondary headache in the International Classification of Headache Disorders, 3rd edition, the clinical features of these headaches, and their associated features and management. Overview Headache attributed to trauma or injury to the head and/or neck, headache attributed to cranial or cervical vascular disorder, headache attributed to non‐vascular intracranial disorder, headache attributed to a substance or its withdrawal, headache attributed to infection, headache attributed to disorder of homeostasis, and headache or facial pain attributed to disorder of the cranium, neck, eye, ears, nose, sinuses, teeth, mouth, or other facial or cervical structure are discussed in this paper. Discussion Headache is a common symptom of multiple medical conditions. Although a minority of headache patients have a secondary basis for their headaches, it is important to identify clinical features of secondary headache disorders including both the headache and non‐headache features of the condition, diagnose the secondary etiology correctly, and treat them appropriately.

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Section: Headache or Facial Pain Attributed To Disorder Of The Craniumentioning

confidence: 99%

Section: Headache or Facial Pain Attributed To Disorder Of The Craniumentioning

confidence: 99%

Secondary Headache: Current Update

Born

Dilli

2020

Headache

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“…Any inflammation or pathology that also involves the parenchyma is referred to as meningoencephalitis. “Neurotropic” ( i.e ., able to reach the CNS) arboviruses are classically associated with encephalitis [ 63 , 78 , 85 – 87 ] but can also cause meningitis, for instance in infections by St. Louis encephalitis virus (SLEV) [ 88 ], tick-borne encephalitis virus (TBEV) [ 89 ], DENV [ 90 ], WNV [ 91 ], CHIKV [ 92 ], ZIKV, Powassan virus (POWV), and Eastern Equine encephalitis virus (EEEV) [ 93 ]. During Toscana virus meningitis, serum levels of IFN-α, IP-10, and eotaxin are significantly increased in the acute phase of infection in comparison with healthy controls [ 94 ], which could participate to an ensuing CNS infiltration of neutrophils, monocytes, and antiviral CD8 + lymphocytes.…”

Section: Introductionmentioning

confidence: 99%

Neurocognitive impacts of arbovirus infections

Clé

Eldin

Briant

et al. 2020

J Neuroinflammation

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Arthropod-borne viruses or arbovirus, are most commonly associated with acute infections, resulting on various symptoms ranging from mild fever to more severe disorders such as hemorrhagic fever. Moreover, some arboviral infections can be associated with important neuroinflammation that can trigger neurological disorders including encephalitis, paralysis, ophthalmological impairments, or developmental defects, which in some cases, can lead to long-term defects of the central nervous system (CNS). This is well illustrated in Zika virus-associated congenital brain malformations but also in West Nile virus-induced synaptic dysfunctions that can last well beyond infection and lead to cognitive deficits. Here, we summarize clinical and mechanistic data reporting on cognitive disturbances triggered by arboviral infections, which may highlight growing public health issues spanning the five continents.

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“…Meningitis is an inflammation that has several classifications with specific causes and symptoms, and unfortunately it is still a major public health problem, causing irreversible health damage with high mortality rates [1]. Prevention, early diagnosis and initiation of treatment are fundamental to the good prognosis of the disease.…”

Section: Introductionmentioning

confidence: 99%

Forecasting Epidemiological Time Series Based on Decomposition and Optimization Approaches

Ribeiro¹,

Silva²,

Fraccanabbia³

et al. 2020

Anais Do 14. Congresso Brasileiro De Inteligência Computacional

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Epidemiological time series forecasting plays an important role in health public system, since it allows managers to develop strategic planning to avoid possible epidemics. In this aspect, a hybrid approach is developed to forecast confirmed cases of megingitis in the Para, Parana and Santa Catarina states, Brazil. In this case, ensemble empirical mode decomposition (EEMD) is applied to decompose the original signal, quantile random forests (QRF) is adopted to forecast each component obtained in decomposition stage and multi-objective optimization (MOO) is used to reconstruct the final forecasting. To assess the performance of adopted methodology, comparisons are conducted with approach that considers to reconstruct the signal by simple sum (EEMD-QRF) and QRF without decomposition. In this context criteria such as mean squared error, symmetric mean absolute percentage error and coefficient of determination as well as statistical tests are adopted. As results, EEMD-QRF-MOO reached lower errors and better coefficient of determination in most of the cases. Indeed, the EEMD-QRF-MOO and EEMD-QRF squared errors are statistical equals, and lower than QRF squared errors. With these results it is conclude that using decomposition technique combined with machine learning models and optimization approach can be adopted to enhance the model performance, whose results may be used to perform accurate forecasting.

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Viral (aseptic) meningitis: A review

Cited by 73 publications

References 74 publications

Secondary Headache: Current Update

Secondary Headache: Current Update

Neurocognitive impacts of arbovirus infections

Forecasting Epidemiological Time Series Based on Decomposition and Optimization Approaches

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