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Record W4364378244 · doi:10.1016/j.bjae.2023.02.003

Commonly encountered central nervous system infections in the intensive care unit

2023· review· en· W4364378244 on OpenAlexaboutno aff
Aisling McMahon, I. Conrick-Martin

Bibliographic record

VenueBJA Education · 2023
Typereview
Languageen
FieldImmunology and Microbiology
TopicBacterial Infections and Vaccines
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVentriculitisIntensive care medicineLumbar punctureMeningitisIntensive care unitNeuroimagingAntibioticsCentral nervous systemPediatricsInternal medicineCerebrospinal fluid

Abstract

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Learning objectivesBy reading this article, you should be able to:•Recognise the common clinical features associated with CNS infections in intensive care.•Identify the organisms causing CNS infection in the community, in the immunocompromised patient or returning traveller, and in patients with healthcare-associated ventriculitis and meningitis.•Interpret the results of CSF analysis and neuroimaging appropriately.•Select the most appropriate antimicrobial agent and treatment duration based on the clinical features and results of investigations.Key points•CNS infections account for around 3.9% of infections in the ICU but are associated with significant morbidity and mortality.•Early recognition and initiation of treatment are key to the management of CNS infections and improving outcomes.•Urgent brain imaging should be performed in patients with clinical evidence of increased intracranial pressure before lumbar puncture, but this should not delay treatment with antibiotics, as a delay is associated with increased mortality.•Geographical location and immune status should be considered when determining the likely causative organism.•Autoimmune encephalitis should be considered in all patients presenting with suspected CNS infection, particularly when microbiological tests are negative. By reading this article, you should be able to:•Recognise the common clinical features associated with CNS infections in intensive care.•Identify the organisms causing CNS infection in the community, in the immunocompromised patient or returning traveller, and in patients with healthcare-associated ventriculitis and meningitis.•Interpret the results of CSF analysis and neuroimaging appropriately.•Select the most appropriate antimicrobial agent and treatment duration based on the clinical features and results of investigations. •CNS infections account for around 3.9% of infections in the ICU but are associated with significant morbidity and mortality.•Early recognition and initiation of treatment are key to the management of CNS infections and improving outcomes.•Urgent brain imaging should be performed in patients with clinical evidence of increased intracranial pressure before lumbar puncture, but this should not delay treatment with antibiotics, as a delay is associated with increased mortality.•Geographical location and immune status should be considered when determining the likely causative organism.•Autoimmune encephalitis should be considered in all patients presenting with suspected CNS infection, particularly when microbiological tests are negative. Central nervous system infections account for 3.9% of all infections in adult ICUs, at 3.9% of the total. They are associated with up to 29% mortality and often lead to persistent neurological deficits, including cognitive impairment in 32% of adults who survive meningitis.1Vincent J.L. Sakr Y. Singer M. et al.Prevalence and outcomes of infection among patients in intensive care units in 2017.J Am Med Assoc. 2020; 323: 1478-1487Crossref PubMed Scopus (317) Google Scholar,2Hoogman M. van de Beek D. Weisfelt M. de Gans J. Schmand B. Cognitive outcome in adults after bacterial meningitis.J Neurol Neurosurg Psychiatry. 2007; 78: 1092-1096Crossref PubMed Scopus (159) Google Scholar Diagnosis can be challenging, and timely management is of the utmost importance. Here, we present an overview of the most commonly encountered CNS infections, including meningitis and encephalitis. We aim to provide a framework to assist with diagnosis and management of such infections, often starting with empirical treatment. We also discuss specific subgroups of patients, including the returning traveller, immunocompromised patients, healthcare-associated ventriculitis and meningitis (HAVM), brain abscess and subdural empyema (SE), in addition to the possible alternative diagnoses when microbiology results are negative. CNS infections in children and neonates are beyond the scope of this article. Bacterial meningitis is defined as inflammation of the meninges, particularly the pia and arachnoid mater, associated with the invasion of bacteria into the subarachnoid space.3Hoffman O. Weber J.R. Review: pathophysiology and treatment of bacterial meningitis.Ther Adv Neurol Disord. 2009; 2: 401-412Crossref Scopus (119) Google Scholar It is thought that bacterial invasion into the CNS is preceded by high-grade bacteraemia, with invasion occurring at highly vascularised sites, such as the choroid plexus and leptomeningeal blood vessels. A further source of entry is direct access to the CNS in association with local infection, such as sinusitis, or via dural defects (which can be iatrogenic; traumatic, including after surgery or base of skull fracture; or spontaneous). Bacterial invasion results in endothelial activation and leucocyte infiltration. Whilst this limits bacterial invasion, it may also result in neuronal damage and adverse outcomes.3Hoffman O. Weber J.R. Review: pathophysiology and treatment of bacterial meningitis.Ther Adv Neurol Disord. 2009; 2: 401-412Crossref Scopus (119) Google Scholar The classical symptoms of meningitis are fever, headache, neck stiffness and altered mental status. Up to 95% of patients will present with two out of four of these symptoms.4van de Beek D. de Gans J. Spanjaard L. Weisfelt M. Reitsma J.B. Vermeulen M. Clinical features and prognostic factors in adults with bacterial meningitis.N Engl J Med. 2004; 351: 1849-1859Crossref PubMed Scopus (1181) Google Scholar Additional signs may include focal neurological deficits, such as cranial nerve palsies, aphasia, hemiparesis, seizures, coma and a rash most commonly associated with Neisseria meningitidis infection.4van de Beek D. de Gans J. Spanjaard L. Weisfelt M. Reitsma J.B. Vermeulen M. Clinical features and prognostic factors in adults with bacterial meningitis.N Engl J Med. 2004; 351: 1849-1859Crossref PubMed Scopus (1181) Google Scholar The global burden of disease attributable to meningitis remains high. Incidence depends on geographical location, ranging from 0.5 per 100,000 population in Australia to 207 per 100,000 in South Sudan.5Zunt J.R. Kassebaum N.J. Blake N. et al.Global, regional, and national burden of meningitis, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016.Lancet Neurol. 2018; 17: 1061-1082Abstract Full Text Full Text PDF PubMed Scopus (195) Google Scholar The overall mortality from community-acquired meningitis is around 20% and up to 30% for pneumococcal disease.6McGill F. Heyderman R.S. Michael B.D. et al.The UK joint on the diagnosis and management of meningitis and in Full Text Full Text PDF PubMed Scopus Google Scholar the and the of attributable to meningitis by and J.R. Kassebaum N.J. Blake N. et al.Global, regional, and national burden of meningitis, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016.Lancet Neurol. 2018; 17: 1061-1082Abstract Full Text Full Text PDF PubMed Scopus (195) Google Scholar the most common causative It after J.R. Kassebaum N.J. Blake N. et al.Global, regional, and national burden of meningitis, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016.Lancet Neurol. 2018; 17: 1061-1082Abstract Full Text Full Text PDF PubMed Scopus (195) Google B. van de Beek D. of on bacterial meningitis Full Text Full Text PDF PubMed Scopus Google Scholar It for of of meningitis, in association with such as or is for the of of meningitis in the of pneumococcal meningitis by the of the de Beek D. O. et diagnosis and treatment of bacterial Full Text Full Text PDF PubMed Scopus Google Scholar of B. van de Beek D. of on bacterial meningitis Full Text Full Text PDF PubMed Scopus Google Scholar and or disease to pneumococcal Neisseria meningitidis is the most common of meningitis, most in The of disease in the UK and is that of the of per et al.The of disease and the for 2020; Full Text Full Text PDF PubMed Scopus Google Scholar The the two with the of is the most common of bacterial meningitis in adults and is in Additional factors for include immunocompromised and is encountered and often in association with de Beek D. O. et diagnosis and treatment of bacterial Full Text Full Text PDF PubMed Scopus Google Scholar meningitis is and bacterial It is encountered in particularly the of and F. Heyderman R.S. Michael B.D. et al.The UK joint on the diagnosis and management of meningitis and in Full Text Full Text PDF PubMed Scopus Google Scholar A of are the most and and a can an common include and to it is often that is the of meningitis, also to as F. Heyderman R.S. Michael B.D. et al.The UK joint on the diagnosis and management of meningitis and in Full Text Full Text PDF PubMed Scopus Google Scholar Bacterial meningitis is a should be of to in with de Beek D. O. et diagnosis and treatment of bacterial Full Text Full Text PDF PubMed Scopus Google Scholar should not be this to imaging and of treatment delay the of outcome by treatment delay and outcome in bacterial meningitis.J Full Text Full Text PDF PubMed Scopus Google J. M. to and outcome in bacterial a PubMed Scopus Google N. D. B. J. in the of are associated with mortality from adult bacterial PubMed Scopus Google Scholar should be by the likely local and of the patient as as these of the and are and in an with a of pneumococcal or should be should be for patients or for patients this with factors for F. Heyderman R.S. Michael B.D. et al.The UK joint on the diagnosis and management of meningitis and in Full Text Full Text PDF PubMed Scopus Google Scholar is evidence to duration of treatment in and from in can be after as as a patient is to for disease and at for pneumococcal disease.6McGill F. Heyderman R.S. Michael B.D. et al.The UK joint on the diagnosis and management of meningitis and in Full Text Full Text PDF PubMed Scopus Google for suspected be in an with of pneumococcal to or factors for infection or or or for suspected be in an with of pneumococcal to or factors for infection or or or The of in bacterial meningitis in a van de Beek D. for bacterial Google Scholar from in adults and children The that with in patients and neurological van de Beek D. for bacterial Google Scholar in patients with pneumococcal meningitis but not the overall and treatment to be in van de Beek D. for bacterial Google Scholar with that be before or with the of in all patients suspected of bacterial not with the of antibiotics, can be up to after are should be a or is should be for in pneumococcal meningitis, should be at for F. Heyderman R.S. Michael B.D. et al.The UK joint on the diagnosis and management of meningitis and in Full Text Full Text PDF PubMed Scopus Google de Beek D. 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B. et of a on the management of patients with suspected CNS J 2020; PubMed Scopus Google Scholar may be in a at is clinical remains high. is not performed in of suspected CSF and is a further to can be in CSF from around to after the of and can be to diagnosis from The to should be in with microbiology or CSF microbiological depends on immune and in diagnosis and to in specific of in this should be performed of the of for returning and encephalitis are specific to the to and CSF and and CSF for and and and with or M. and blood and blood in a to are in imaging should be performed before when is a for increased intracranial pressure to The for imaging are the of focal neurological or and a F. Heyderman R.S. Michael B.D. et al.The UK joint on the diagnosis and management of meningitis and in Full Text Full Text PDF PubMed Scopus Google J. J. of the before lumbar in adults with suspected meningitis.N Engl J Med. 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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.966
Threshold uncertainty score0.821

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.067
GPT teacher head0.354
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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