<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
<channel>
<title>Neurología general</title>
<link>https://repositorio.fleni.org.ar/xmlui/handle/123456789/604</link>
<description/>
<pubDate>Mon, 22 Jun 2026 19:18:16 GMT</pubDate>
<dc:date>2026-06-22T19:18:16Z</dc:date>
<item>
<title>Detection of hearing loss by formal audiological testing after acute infectious meningitis : a global systematic review and meta-analysis</title>
<link>https://repositorio.fleni.org.ar/xmlui/handle/123456789/1504</link>
<description>Detection of hearing loss by formal audiological testing after acute infectious meningitis : a global systematic review and meta-analysis
Alviz, Luisa F.; Kim, Carla Y.; Benevides Tadinac, Ana Claudia; Roberts, Jackson A.; Monette, Lauren E.; Harrer, Caroline E.; Varela, Francisco José; Hwang, Soonmyung A.; Gebresilassie, Blen M.; Balcarce, Pilar; Prasad, Manya; Usseglio, John; Kothari, Kavita U.; Venuti, Francesco; Schiess, Nicoline; Gadama, Yohane; Binello, Nicolò; Chadha, Shelly; Dua, Tarun; Thakur, Kiran T.
Background Acute community-acquired bacterial meningitis remains a significant global health concern with significant mortality and morbidity, including neurological sequelae such as sensorineural hearing loss (SNHL). Early detection of meningitis-associated SNHL mitigates permanent deafness and poor outcomes, including cognitive decline, social isolation, and mental health disorders. This systematic review evaluates the optimal time point(s) to perform formal audiological diagnostic testing and follow-up in adult and pediatric meningitis patients to effectively detect hearing loss (HL) outcomes. Methods A literature search was conducted across Medline, Embase, and Cochrane databases. Studies reporting the time frames for HL detection secondary to acute meningitis using formal audiological tests were included. Data were analyzed descriptively for continuous and categorical variables. A meta-analysis calculated the pooled prevalence of outcomes, with subgroup analyses stratified by the time frame of audiological diagnostic assessment. Results A total of 41 studies were included, with n=8105 meningitis patients comprising n=1397 (17.2%) adults and 6708 (82.8%) children. In adults, most audiological testing occurred post-discharge (n=530 vs. n=145), yet the proportion of hearing loss diagnoses was higher before discharge than after (45.5% vs. 42.5%). Similarly, more audiological assessments were administered post-discharge compared to pre-discharge (n=3340 vs. n=1975) in children, but HL diagnoses were more frequent before discharge (33.9% vs. 25.3%). The pooled prevalence of HL diagnoses during hospitalization or at discharge was 30.4% (95% CI 22.9–38%), compared to 22.9% (95% CI 12.6–33.1%) within 1 month post-discharge, 20.3% (95% CI 8.8–31.9%) between 30 and 60 days post-discharge, 22.7% (95% CI 12.1–33.4%) between 60 and 180 days post-discharge, and 10.8% (95% CI 5.9–15.7%) more than 180 days after discharge. Conclusions The considerable variability in the time frame of audiological test administration following an acute meningitis episode highlights the need for standardized auditory evaluations after meningitis diagnosis. Our findings emphasize that as hearing loss may occur and recover at different stages after an infectious meningitis episode, coordinated hearing assessments at discharge and during follow-up are important to ensure adequate detection and care.
</description>
<pubDate>Sat, 28 Feb 2026 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://repositorio.fleni.org.ar/xmlui/handle/123456789/1504</guid>
<dc:date>2026-02-28T00:00:00Z</dc:date>
</item>
<item>
<title>WHO guidelines on meningitis diagnosis, treatment and care [Internet]</title>
<link>https://repositorio.fleni.org.ar/xmlui/handle/123456789/1438</link>
<description>WHO guidelines on meningitis diagnosis, treatment and care [Internet]
World Health Organization
In line with the Defeating meningitis by 2030: a global road map, the WHO guidelines on meningitis diagnosis, treatment and care provide evidence-based recommendations for the clinical management of children and adults with community-acquired meningitis, including acute and long-term care.&#13;
&#13;
Meningitis poses a significant public health threat, despite successful efforts to control the disease globally. The burden of morbidity and mortality from meningitis remains high, particularly in low- and middle-income countries and in settings experiencing large-scale, disruptive epidemics. Approximately one in five individuals affected by bacterial meningitis incurs long-term complications, which may result in disability and have a profound impact on quality of life.&#13;
&#13;
The guidelines are primarily intended for health-care professionals working in first- or second-level health-care facilities, including emergency, inpatient and outpatient services. They are also directed at policy-makers, health-care planners and programme managers, academic institutions, non-governmental and civil society organizations to inform capacity-building, teaching and research agendas.&#13;
&#13;
Web annex A provides the quantitative evidence reports, Web annex B summarizes the qualitative and economic evidence and Web annex C presents the Evidence-to-Decision frameworks.
</description>
<pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://repositorio.fleni.org.ar/xmlui/handle/123456789/1438</guid>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>Adult polyglucosan body disease: ultrarare but commonly misdiagnosed</title>
<link>https://repositorio.fleni.org.ar/xmlui/handle/123456789/1309</link>
<description>Adult polyglucosan body disease: ultrarare but commonly misdiagnosed
Caiza-Zambrano, Francisco; Aldecoa, Mayra; Rugilo, Carlos; Taratuto, Ana Lía; Marchesoni, Cintia; León-Cejas, Luciana; Reisin, Ricardo; Bonardo, Pablo
Adult polyglucosan body disease is a rare genetic condition caused by biallelic pathogenic variants in GBE-1 gene. Affected patients typically have urinary dysfunction, progressive gait disturbance and cognitive impairment. We report a 63-year-old woman with urinary incontinence, walking difficulty and episodes of forgetfulness. She had symmetrical limb weakness with upper motor neurone signs, distal sensory loss and a broad-based ataxic gait. MR scans of the brain and spine showed white matter changes with cerebellar and spinal cord atrophy. Sural nerve biopsy identified intra-axonal polyglucosan bodies. A multigene panel test identified a GBE-1 pathogenic variant, confirming the diagnosis of adult polyglucosan body disease. This case emphasises the importance of considering rare genetic disorders in people with autonomic dysfunction, mixed upper and lower motor neurone signs, peripheral neuropathy and cognitive impairment.
</description>
<pubDate>Sun, 16 Feb 2025 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://repositorio.fleni.org.ar/xmlui/handle/123456789/1309</guid>
<dc:date>2025-02-16T00:00:00Z</dc:date>
</item>
<item>
<title>Validation of an Artificial Intelligence-Powered Virtual Assistant for Emergency Triage in Neurology</title>
<link>https://repositorio.fleni.org.ar/xmlui/handle/123456789/1308</link>
<description>Validation of an Artificial Intelligence-Powered Virtual Assistant for Emergency Triage in Neurology
Alessandro, Lucas; Crema, Santiago; Castiglione, Juan Ignacio; Dossi, Daiana Elizabeth; Eberbach, Federico; Kohler, Alejandro Alfredo; Laffue, Alfredo Hernan; Marone, Abril; Nagel, Vanesa; Pastor Rueda, José Manuel; Varela, Francisco José; Fernández Slezak, Diego; Rodríguez Murúa, Sofía; Debasa, Carlos; Pensa, Claudio; Farez, Mauricio Franco
Objectives: Neurological emergencies pose significant challenges in medical care in resource-limited countries. Artificial intelligence (AI), particularly health chatbots, offers a promising solution. Rigorous validation is required to ensure safety and accuracy. Our objective is to evaluate the diagnostic safety and effectiveness of an AI-powered virtual assistant (VA) designed for the triage of neurological pathologies.&#13;
&#13;
Methods: The performance of an AI-powered VA for emergency neurological triage was tested. Ten patients over 18 years old with urgent neurological pathologies were selected. In the first stage, 9 neurologists assessed the safety of the VA using their clinical records. In the second stage, the assistant's accuracy when used by patients was evaluated. Finally, VA performance was compared with ChatGPT 3.5 and 4.&#13;
&#13;
Results: In stage 1, neurologists agreed with the VA in 98.5% of the cases for syndromic diagnosis, and in all cases, the definitive diagnosis was among the top 5 differentials. In stage 2, neurologists agreed with all diagnostic parameters and recommendations suggested by the assistant to patients. The average use time was 5.5 minutes (average of 16.5 questions). VA showed superiority over both versions of ChatGPT in all evaluated diagnostic and safety aspects (P&lt;0.0001). In 57.8% of the evaluations, neurologists rated the VA as "excellent" (suggesting adequate utility).&#13;
&#13;
Conclusions: In this study, the VA showcased promising diagnostic accuracy and user satisfaction, bolstering confidence in further development. These outcomes encourage proceeding to a comprehensive phase 1/2 trial with 100 patients to thoroughly assess its "real-time" application in emergency neurological triage.
</description>
<pubDate>Thu, 06 Feb 2025 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://repositorio.fleni.org.ar/xmlui/handle/123456789/1308</guid>
<dc:date>2025-02-06T00:00:00Z</dc:date>
</item>
</channel>
</rss>
