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Predicting Outcome in Skull Base Osteomyelitis: An Assessment of Demographic, Clinical, and Pathological Attributes

Objective  Skull base osteomyelitis (SBO) is an enigmatic clinical diagnosis which is difficult to decipher and is associated with poor outcomes. The study aims to examine the demographic and clinical characteristics of patients with SBO and its outcomes. Materials and Methods  Medical records of 30...

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Autores principales: Saxena, Alisha, Paul, Birinder Singh, Singh, Gagandeep, Ahluwalia, Archana, Paul, Gunchan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Thieme Medical and Scientific Publishers Pvt. Ltd. 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8559086/
https://www.ncbi.nlm.nih.gov/pubmed/34737511
http://dx.doi.org/10.1055/s-0041-1735324
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author Saxena, Alisha
Paul, Birinder Singh
Singh, Gagandeep
Ahluwalia, Archana
Paul, Gunchan
author_facet Saxena, Alisha
Paul, Birinder Singh
Singh, Gagandeep
Ahluwalia, Archana
Paul, Gunchan
author_sort Saxena, Alisha
collection PubMed
description Objective  Skull base osteomyelitis (SBO) is an enigmatic clinical diagnosis which is difficult to decipher and is associated with poor outcomes. The study aims to examine the demographic and clinical characteristics of patients with SBO and its outcomes. Materials and Methods  Medical records of 30 patients with diagnosis of SBO over past 5 years were assessed for demographic and clinical characteristics, type of SBO, radiological parameters, treatment received, procedure performed, microbiological profile, comorbidities, and complications including cranial nerve (CN) palsies. These factors were analyzed for prediction of outcome (death or survival). Statistical Analysis  Microsoft Office Excel 2010 SAS 10.0 for Windows was used. Student's t -test for continuous variables (age, duration of symptoms, number of days of hospitalization, and treatment duration) and chi-square test for categorical variables (imaging findings, symptomatology, presence of comorbidities, surgical procedure, complications, and type of antibiotics) were utilized. Results  We found SBO was the disease of elderly population (64.07 ± 6.13 years) with male predominance (83.3%) highly associated with uncontrolled diabetes status (93.3%). Headache (100%) and CN palsy (80%) were the most common neurological presenting complaints followed by stroke (17%) and encephalopathy (10%). Pathological and radiological correlation showed that fungal infection ( Aspergillus ) was associated with anterior SBO (10%), while bacteria ( Pseudomonas ) was cultured from posterior SBO (30%). Fifty per cent of patients were alive after 1 year out of which 33% had good functional outcome. The mortality rate was 33.3% in our cohort and multiple lower CN palsies ( p  = 0.04), suboptimal duration of medical treatment ( p  = 0.03), surgical intervention during clinical course ( p  = 0.02), and development of intracranial or extracranial complications ( p  = 0.03) were the predictors of mortality. Conclusion  Early diagnosis including identification of pathogenic organisms and optimal duration of treatment are crucial factors for improved outcomes in SBO.
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spelling pubmed-85590862021-11-03 Predicting Outcome in Skull Base Osteomyelitis: An Assessment of Demographic, Clinical, and Pathological Attributes Saxena, Alisha Paul, Birinder Singh Singh, Gagandeep Ahluwalia, Archana Paul, Gunchan J Neurosci Rural Pract Objective  Skull base osteomyelitis (SBO) is an enigmatic clinical diagnosis which is difficult to decipher and is associated with poor outcomes. The study aims to examine the demographic and clinical characteristics of patients with SBO and its outcomes. Materials and Methods  Medical records of 30 patients with diagnosis of SBO over past 5 years were assessed for demographic and clinical characteristics, type of SBO, radiological parameters, treatment received, procedure performed, microbiological profile, comorbidities, and complications including cranial nerve (CN) palsies. These factors were analyzed for prediction of outcome (death or survival). Statistical Analysis  Microsoft Office Excel 2010 SAS 10.0 for Windows was used. Student's t -test for continuous variables (age, duration of symptoms, number of days of hospitalization, and treatment duration) and chi-square test for categorical variables (imaging findings, symptomatology, presence of comorbidities, surgical procedure, complications, and type of antibiotics) were utilized. Results  We found SBO was the disease of elderly population (64.07 ± 6.13 years) with male predominance (83.3%) highly associated with uncontrolled diabetes status (93.3%). Headache (100%) and CN palsy (80%) were the most common neurological presenting complaints followed by stroke (17%) and encephalopathy (10%). Pathological and radiological correlation showed that fungal infection ( Aspergillus ) was associated with anterior SBO (10%), while bacteria ( Pseudomonas ) was cultured from posterior SBO (30%). Fifty per cent of patients were alive after 1 year out of which 33% had good functional outcome. The mortality rate was 33.3% in our cohort and multiple lower CN palsies ( p  = 0.04), suboptimal duration of medical treatment ( p  = 0.03), surgical intervention during clinical course ( p  = 0.02), and development of intracranial or extracranial complications ( p  = 0.03) were the predictors of mortality. Conclusion  Early diagnosis including identification of pathogenic organisms and optimal duration of treatment are crucial factors for improved outcomes in SBO. Thieme Medical and Scientific Publishers Pvt. Ltd. 2021-09-28 /pmc/articles/PMC8559086/ /pubmed/34737511 http://dx.doi.org/10.1055/s-0041-1735324 Text en Association for Helping Neurosurgical Sick People. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ( https://creativecommons.org/licenses/by-nc-nd/4.0/ ) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.
spellingShingle Saxena, Alisha
Paul, Birinder Singh
Singh, Gagandeep
Ahluwalia, Archana
Paul, Gunchan
Predicting Outcome in Skull Base Osteomyelitis: An Assessment of Demographic, Clinical, and Pathological Attributes
title Predicting Outcome in Skull Base Osteomyelitis: An Assessment of Demographic, Clinical, and Pathological Attributes
title_full Predicting Outcome in Skull Base Osteomyelitis: An Assessment of Demographic, Clinical, and Pathological Attributes
title_fullStr Predicting Outcome in Skull Base Osteomyelitis: An Assessment of Demographic, Clinical, and Pathological Attributes
title_full_unstemmed Predicting Outcome in Skull Base Osteomyelitis: An Assessment of Demographic, Clinical, and Pathological Attributes
title_short Predicting Outcome in Skull Base Osteomyelitis: An Assessment of Demographic, Clinical, and Pathological Attributes
title_sort predicting outcome in skull base osteomyelitis: an assessment of demographic, clinical, and pathological attributes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8559086/
https://www.ncbi.nlm.nih.gov/pubmed/34737511
http://dx.doi.org/10.1055/s-0041-1735324
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