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Epidemiological and clinical characteristics of central nervous system infections in a tertiary center: A retrospective study

BACKGROUND AND AIMS: Central nervous system (CNS) infection is one of the most common causes of morbidity, mortality, and hospital admission worldwide. The natural history of CNS infection is quite fatal. Early diagnosis and treatment have been proven to have a crucial role in patients' surviva...

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Autores principales: Gajurel, Bikram P., Giri, Subarna, Rayamajhi, Shivani, Khanal, Niharika, Bishowkarma, Sagar, Mishra, Aman, Karn, Ragesh, Rajbhandari, Reema, Ojha, Rajeev
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901198/
https://www.ncbi.nlm.nih.gov/pubmed/36778774
http://dx.doi.org/10.1002/hsr2.1099
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author Gajurel, Bikram P.
Giri, Subarna
Rayamajhi, Shivani
Khanal, Niharika
Bishowkarma, Sagar
Mishra, Aman
Karn, Ragesh
Rajbhandari, Reema
Ojha, Rajeev
author_facet Gajurel, Bikram P.
Giri, Subarna
Rayamajhi, Shivani
Khanal, Niharika
Bishowkarma, Sagar
Mishra, Aman
Karn, Ragesh
Rajbhandari, Reema
Ojha, Rajeev
author_sort Gajurel, Bikram P.
collection PubMed
description BACKGROUND AND AIMS: Central nervous system (CNS) infection is one of the most common causes of morbidity, mortality, and hospital admission worldwide. The natural history of CNS infection is quite fatal. Early diagnosis and treatment have been proven to have a crucial role in patients' survival. The aim of this study was to identify the epidemiological and clinical patterns of patients diagnosed with CNS infections. METHODS: This study is a retrospective study conducted in a tertiary level hospital in Nepal in which patient diagnosed with CNS infections (September 2019 to 2021) were included. Data were collected and analyzed in SPSS. RESULTS: The mean age of the 95 patients included in the study was 45.18 ± 19.56. Meningoencephalitis (n = 44, 46.30%) was the most common infection diagnosed. Patients belonging to the age group 30−60 years had a higher frequency of focal neurological deficit, and other classical clinical features. All the patients who died during the treatment had associated comorbidities but no concurrent infections. Altered sensorium, fever, and headache were the common presenting symptoms in all the recovered patients. CONCLUSION: To ensure optimum disease outcome, early diagnosis and prompt management are crucial. For this, recognizing the local disease patterns in terms of disease distribution, commonly implicated aetiologies, presenting symptoms, and prognostic factors is of utmost importance.
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spelling pubmed-99011982023-02-09 Epidemiological and clinical characteristics of central nervous system infections in a tertiary center: A retrospective study Gajurel, Bikram P. Giri, Subarna Rayamajhi, Shivani Khanal, Niharika Bishowkarma, Sagar Mishra, Aman Karn, Ragesh Rajbhandari, Reema Ojha, Rajeev Health Sci Rep Original Research BACKGROUND AND AIMS: Central nervous system (CNS) infection is one of the most common causes of morbidity, mortality, and hospital admission worldwide. The natural history of CNS infection is quite fatal. Early diagnosis and treatment have been proven to have a crucial role in patients' survival. The aim of this study was to identify the epidemiological and clinical patterns of patients diagnosed with CNS infections. METHODS: This study is a retrospective study conducted in a tertiary level hospital in Nepal in which patient diagnosed with CNS infections (September 2019 to 2021) were included. Data were collected and analyzed in SPSS. RESULTS: The mean age of the 95 patients included in the study was 45.18 ± 19.56. Meningoencephalitis (n = 44, 46.30%) was the most common infection diagnosed. Patients belonging to the age group 30−60 years had a higher frequency of focal neurological deficit, and other classical clinical features. All the patients who died during the treatment had associated comorbidities but no concurrent infections. Altered sensorium, fever, and headache were the common presenting symptoms in all the recovered patients. CONCLUSION: To ensure optimum disease outcome, early diagnosis and prompt management are crucial. For this, recognizing the local disease patterns in terms of disease distribution, commonly implicated aetiologies, presenting symptoms, and prognostic factors is of utmost importance. John Wiley and Sons Inc. 2023-02-06 /pmc/articles/PMC9901198/ /pubmed/36778774 http://dx.doi.org/10.1002/hsr2.1099 Text en © 2023 The Authors. Health Science Reports published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Gajurel, Bikram P.
Giri, Subarna
Rayamajhi, Shivani
Khanal, Niharika
Bishowkarma, Sagar
Mishra, Aman
Karn, Ragesh
Rajbhandari, Reema
Ojha, Rajeev
Epidemiological and clinical characteristics of central nervous system infections in a tertiary center: A retrospective study
title Epidemiological and clinical characteristics of central nervous system infections in a tertiary center: A retrospective study
title_full Epidemiological and clinical characteristics of central nervous system infections in a tertiary center: A retrospective study
title_fullStr Epidemiological and clinical characteristics of central nervous system infections in a tertiary center: A retrospective study
title_full_unstemmed Epidemiological and clinical characteristics of central nervous system infections in a tertiary center: A retrospective study
title_short Epidemiological and clinical characteristics of central nervous system infections in a tertiary center: A retrospective study
title_sort epidemiological and clinical characteristics of central nervous system infections in a tertiary center: a retrospective study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901198/
https://www.ncbi.nlm.nih.gov/pubmed/36778774
http://dx.doi.org/10.1002/hsr2.1099
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