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Laboratory exams in the diagnosis of CNS infections

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Title: Laboratory exams in the diagnosis of CNS infections


1
Laboratory exams in the diagnosis of CNS
infections
  • Dr Paul Matthew Pasco
  • June 7, 2008

2
Lab exams for bacterial meningitis
  • CSF GS/CS
  • CSF cytology
  • () of bacterial antigens in CSF
  • Neuroimaging
  • Molecular techniques (PCR)

3
CSF culture sensitivity
  • Gonzaga (1967) () in 57/85 patients
  • Pneumococcus in 26 G(-) bacilli in 33
  • Punsalan (1988) () in 9/12
  • Handumon (2000) () in 11/50 adults
  • Reyes (1979) 82 children
  • Most common G(-) bacilli in 53.7
  • Others S. pneumoniae, N. meningitidis
  • Kho (1992) 50 culture-proven cases G() in 62
    (S. pneumoniae), G(-) in 38

4
CSF cytology GS (Reyes 1986)
5
CSF cytology GS (Reyes 1986)
SENS 81
SPEC 34
SENS 85
SPEC 51
6
How do we use sensitivity specificity?
  • SnNout for a test with high sensitivity, a
    negative result rules out the diagnosis
  • SpPin for a test with high specificity, a
    positive result rules in the diagnosis
  • A perfect test is both a SpPin SnNout
  • A useless test SENS SPEC 100 0

7
CSF cytology GS (Reyes 1986)
PPV 44
NPV 73
PPV 63
NPV 77
8
Likelihood ratios
  • LR() probability of () test for a person
    with the disease
  • probability of () test for a person
  • without the disease
  • LR(-) probability of (-) test for a person
  • with the disease
  • probability of (-) test for a person
  • without the disease

9
Likelihood ratios
Not very good!
  • For cytology
  • LR() 22/27 1.23
  • 27/41
  • LR(-) 5/27 0.54
  • 14/41
  • For gram stain
  • LR() 23/27 1.77
  • 13/27
  • LR(-) 4/27 0.29
  • 14/27

10
A likelihood ratio nomogram
11
How do we estimate our patients pre-test
probability of having the disease?
  • Clinical experience
  • Local prevalence statistics
  • Information from databases
  • Original studies to assess diagnostic tests
  • Studies devoted specifically to determining
    pre-test probabilities

12
Etiology of CNS infections in 7 hospitals
(Punsalan 1999) (892 cases)
  • Bacterial meningitis 29.9
  • TB meningitis 28.9
  • Meningitis unspecified 12.2
  • Viral meningitis 10.5
  • Brain abscess 8.1
  • Cryptococcal meningitis 2.0
  • Tuberculoma 1.6
  • Others 3.3

13
Local experience in bacterial meningitis
(Handumon 2000)
  • Typical clinical picture
  • Drowsy, 50
  • Meningismus, 85
  • Seizure, 26
  • Focal neurological deficit, 18
  • Fever headache sensorial change, 85

14
Bacterial antigens in CSF (Garcia 1988)
  • Phadebact, with culture as gold standard
  • Sensitivity 83
  • Specificity 93
  • PPV 83
  • NPV 93

15
Bacterial antigens in CSF (Coovadia 1985)
CSF culture as gold standard
16
Other tests on CSF
  • CSF CRP sensitivity of 61, specificity of 100,
    PPV of 100, NPV of 80 (Changco 1987)
  • CSF leukocyte esterase sensitivity of 100,
    specificity of 93 CSF nitrite specificity and
    NPV of 85 (Tan 1997)
  • CSF pH decreased in 10/11 cases of purulent
    meningitis (Espiritu 1986)

17
Neuroimaging
  • CT scan of head
  • Not routinely done
  • Only to rule out other causes of CNS infection
  • Cranial ultrasound (Lee 2001) 95 culture-proven
    cases
  • Wide and highly echogenic sulci 87
  • Convexity leptomeningeal thickening 86
  • Hydrocephalus 62
  • Extra-axial fluid collection 8-48

18
Other tests
  • GS/CS from throat and petechiae (esp. for
    meningococcal disease) and blood
  • Serum CRP (Sutinen 1998) elevated CRP (gt10
    mg/ml) has 100 sensitivity in 19 cases of
    bacterial meningitis (but may be low in early
    stages of infection)
  • Molecular techniques not available locally
  • PCR for N. meningitidis S. pneumoniae
  • Quantitative PCR to determine bacterial load?

19
How should lab results help us in management of
CNS infections?
Lab results should help us cross a
threshold We may have to perform several tests
to cross a threshold.
20
Viral encephalitis
  • Standard cell culture
  • Brain biopsy
  • Serologic diagnosis detect a 3-fold or more
    increase in specific antibody production
  • CSF ELISA PCR how to determine sensitivity
    and specificity?

21
  • Problem no single lab test or clinical feature
    can distinguish between different types of CNS
    infections
  • Solution propose clinical decision rules which
    combine clinical and simple laboratory features

22
Clinical decision rules to distinguish between
bacterial and viral meningitis (Dubos 2006)
23
Decision rule by Nigrovic (2002)
BMS gt 2 predicts bacterial meningitis with 100
sensitivity
24
Lab exams for tuberculous meningitis
  • CSF AFB smear and TB culture
  • CSF qualitative quantitative exams
  • ELISA to detect IgG antibodies to mycobacterial
    antigens in CSF
  • PCR to detect mycobacterial DNA elements
  • Neuroimaging

25
CSF TB culture
  • Montoya (1991) () in 4/17 clinically
    presumptive cases of TBM
  • Pasco (2007) () in 3/63 probable TBM
  • De Guzman (2005) MGIT mycobacterial culture
    system using a surrogate gold standard, 75
    sensitive and 31 specific

26
ELISA for TB meningitis
  • Montoya (1991) 30 kDa native antigen () in
    3 of 4 definite TBM, (-) in all normal non-TBM
    cases
  • Valenzuela (2000) 38 kDa antigen () in 1 of 1
    definite TBM specificity of 72
  • Montoya (2000) antigen A60 3 definite cases
    100 sensitive and 94 specific

27
The Polymerase Chain Reaction (PCR) Technique
28
PCR for TB Meningitis
  • Montoya (1997) () in 7/8 culture-proven TB
    Meningitis no data in non-TBM
  • Pasco (2007) 63 probable TBM 3/63 () by smear
    or culture, 14/63 () by PCR 2/3 definite TBM
    also () by PCR
  • Udarbe-Agustin (2004) 3/6 definite TBM () by
    PCR
  • Montoya (2001) 9 definite TBM 1 () by
    Amplicor, 2 () by nested PCR
  • Meta-analysis by Pai (2003) sensitivity is 56,
    specificity is 98

29
CT scan in TB Meningitis
  • Malazo (1995) 30 children with TBM 28 had
    hydrocephalus, 14 had basal exudates, 2 were
    normal
  • Kumar (1996) compared CT scans of 94 children
    with TBM and 52 with pyogenic meningitis basal
    meningeal enhancement, tuberculoma, or both, were
    89 sensitive and 100 specific for TBM

30
Clinical decision rules in TBM
  • Kumar (1994) 110 Indian children with TBM and
    94 with non-TBM predictive of TBM
  • Symptoms gt 6 days
  • Optic atrophy
  • Focal neurological deficit
  • Abnormal movements
  • Neutrophils lt 50 of CSF WBC count
  • Thwaites (2002) 143 Vietnamese adults with TBM
    108 with non-TBM predictive of TBM
  • Age gt 36
  • Blood WBC lt 15,000
  • Symptoms gt 6 days
  • CSF WBC lt 750
  • CSF neutrophils lt 90
  • Pasco (200?) 300 Filipino adults with TBM
  • focal deficit
  • () PTB on CXR
  • CSF WBC gt 50, lymphocytes predominant
  • CSF lt 50 serum RBS
  • Increased CSF protein

31
Cryptococcal meningitis
  • India Ink Sabourauds culture
  • CALAS titers
  • Lokin (2000) 8 cases of cryptococcal
    meningitis 8 () by India Ink and mucicarmine
    after 24h, still () by mucicarmine

32
Summary
  • Lab results should help us move across a testing
    or treatment threshold
  • Use clinical decision rules that combine clinical
    and laboratory exam results
  • These should not replace the clinicians skills
    and perceptions
  • They should only be applied after a complete
    validation process.
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