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Department of Neurosurgery
Tribhuvan University Teaching Hospital
Journal club
Presenter- Sandesh Dahal, MCh resident
Date- 7th October, 2020
INTRODUCTION
Department of Neurosurgery
Tribhuvan University Teaching Hospital
INTRODUCTION
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 Published in- BMC Neurology (2020) 20:354
 Link page- https://doi.org/10.1186/s12883-020-01931-w
 Impact factor- 2.350
 Published year- 22nd sept, 2020
INTRODUCTION
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Background
 Decompressive hemicraniectomy (DHC) can save lives from malignant MCA
infarction.
 Some studies claim it improves functional outcomes as well.
 But all the studies to date have enrolled the patients after 12 hours of presentation.
 They have excluded the patients who have undergone endovascular therapy.
INTRODUCTION
Department of Neurosurgery
Tribhuvan University Teaching Hospital
INTRODUCTION
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 But DHC is not without risk.
 It has its own morbidity and mortality.
 Some study claim, DHC increases survival at the cost of increasing morbidity and
poor functional outcome.
 Different clinical and radiological parameters studied to predict the malignant
progression.
INTRODUCTION
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 The predictors are,
 clinical parameters,
 initial infarct volume on DWI,
 Imaging, especially midline shift (MLS) in CT scan.
 ICP monitor has been employed in such conditions in trauma cases.
 ICP monitor in malignant anterior cerebral infarction has been inconsistent.
INTRODUCTION
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 So, there is need of dynamic parameter in predicting the progression in these patients.
 Optic nerve sheath diameter (ONSD) and ONSD to ETD ratio (eye transverse
diameter) can be useful bedside predictor to asses the progression of these patients.
INTRODUCTION
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 The principle is, the optic nerve subarachnoid space communicates with that of
chiasmatic cistern.
 Any increase in ICP transmits this pressure into the optic nerve causing its
enlargement.
 So, it is presumed to be a good dynamic parameter to asses ICP.
 The data need to be validated in the setting of huge anterior circulation infarction.
INTRODUCTION
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Methods
 Retrospective single center study.
 Study period- January, 2010 to October, 2017.
 Study center- Department of Neurology, Ajou University School of Medicine, South
Korea.
Methodology
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Method…
 Inclusion criteria
 Acute anterior circulation infarction DWI volume>82ml
 Presentation within 6 hours of presentation
 NIHSS score of >= 15.
 Exclusion criteria
 Significant contralateral stroke
Methodology
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 Stroke management
 Intravascular therapy as per physician’s decision
 All patients underwent CT scan on presentation, CT angiography, and CT scan
on the following day.
 Medical Management of ICP as per hospital protocol.
 Use of osmolar therapy and hypothermia as per hospital protocol.
Methodology
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 Classification CT time-points
 Siemens 128 slice CT scan
 5 mm axial cuts at 120 kv, 200mAs.
 CT done during arrival= CTbaseline
 CT done after angiography or endovascular procedure= CTpostprocedure
 CT done the following day= CTD1
Methodology
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Malignant progression and DHC
 Done on the basis of clinical signs.
 Signs
 altered mental status,
 flexor or extensor motor posturing,
 pupillary abnormality,
 respiratory pattern changes,
 eye movement impairments, or
 respiratory pattern abnormalities
Methodology
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 Those signs with CT features of impending herniation were classified as malignant
progressors.
 Malignant progressors were classified as
 Early- those occurring before CTD1
 Late- those occurring after CTD1
 DHC was done regardless of the age and whether thrombolysis done.
 ONSD was not used for clinical decision making.
Methodology
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 CT scan were interpreted using commercial CT viewing software.
 ONSD/ETD measures in chest abdomen window, with five fold magnification.
 ONSD was measured at 3 mm from the retina perpendicular to the long axis of optic
nerve.
 ETD was calculated as max transverse diameter from retina to retina.
 All calculations made bilaterally and averaged.
Methodology
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Methodology
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 MLS was measured in the same CT scan.
 MLS calculated was displacement of septum pellucidum from midline.
 To minimize bias, all the reading were taken two weeks apart.
 Post-procedural hemorrhagic complications were classified in accordance with the
European Cooperative Acute Stroke Study criteria.
Methodology
Department of Neurosurgery
Tribhuvan University Teaching Hospital
ECASS criteria
Methodology
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Statistical analysis
 The patients were grouped in two categories based on malignant progression.
 Difference in clinical characters analyzed between the two groups.
 CT difference between two groups were analyzed.
Statisticalanalysis
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 longitudinal analysis of MLS and ONSD/ETD done.
 linear mixed-effects model to estimate mean levels of the parameters over time
within groups from baseline to D1 of follow-up, using available data done.
 The fixed effects were CT time points.
 Group and group-by time interaction effect and individual was included as a random
effect.
Statisticalanalysis
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 For imaging analysis of the CTpostprocedure time point, both MLS changes and
ONSD/ETD changes adjusted for time by hours from CTbaseline to CTpostprocedure to
account for time based changes.
 Multivariate analysis done to confirm the clinical significance of time corrected
changes in ONSD/ETD and MLS in prediction of early malignant progression.
Statisticalanalysis
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 In the CTD1 time point, both MLS changes and ONSD/ETD changes were adjusted
for time by days from CTbaseline to CTD1 to account for time based changes.
 Multivariate analysis done to confirm the clinical significance of time corrected
changes in ONSD/ETD and MLS in prediction of late malignant progression.
Statisticalanalysis
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 The data are presented as the mean ± standard deviation or as the median
[interquartile range].
 A P-value less than 0.05 was considered statistically significant.
 Statistical analyses were performed using IBM SPSS Statistics software version 25.
 R software, version 3.6.2. (R Foundation for Statistical Computing, Vienna, Austria).
Statisticalanalysis
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Results
39
12
7
Progression number of patients
non pregression early progression late progression
Total patients= 58
Results
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Results
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Baseline characters in two groups
Results
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Results
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Results
Department of Neurosurgery
Tribhuvan University Teaching Hospital
CT characters in two groups
Results
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Results
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Results
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Results
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Results
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Results summary
 About 1/3rd patients had malignant progression.
 Those with malignant progression had worse outcome.
 Complex T shape occlusion was associated with malignant progression.
 One third of those going deterioration, went in late deterioration.
Results
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 Factors significant for early deterioration are
 DWI infarct volume
 Those undergoing endovascular treatment
 Complex T type occlusion
 Hemorrhagic conversion
 Midline shift
 ONSD/ETD could not predict early deterioration from admission to angiography or
endovascular time.
Results
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 Late progression
 Initial infarct volume does not correlate
 Hemorrhagic pattern also does not correlate
 Predicted by
 MLS in mm/day
 Change in ONSD/ETD ratio in %/day
Results
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Discussion
 This study shows increase in ONSD/ETD ration from baseline to CTD1 correlates
with the malignant progression.
 Rate of change from baseline was significant predictor of late progression.
 Rate of change of MLS was predictor of malignant progression in both early and late
progression.
Discussion
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 This non-invasive method can be equivalent to invasive ICP monitoring that is
done in trauma settings.
 ICP also changes with posture and procedures that cause pain.
 Similar things might have interfered the measurement of ONSD in the initial
time point.
 So, ONSD evaluation should be best done after stabilization.
Discussion
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 ICP monitors used to assess ICP previously but inconsistent results, normal ICP on
sensor with brainstem compression, pupillary changes and evidence of herniation on
CT scan.
Discussion
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 The current study may advocate CT or USG guided monitoring of the ONSD to
evaluate the malignant progression of infarction.
 Further prospective studies needed to confirm the results though.
Discussion
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Discussion
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Discussion
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Discussion
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Discussion
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Discussion
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Discussion
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Conclusion
 In acute stroke patients with malignant infarct cores, an increase in ONSD/ETD ratio
compared to baseline increases the odds of malignant progression, and may be used
as a marker for emergent therapeutic interventions.
Conclusion
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Critical appraisal
 Strength
 CT protocol and criteria well defined.
 Patients presented earlier than12 hours included.
 Patients undergone endovascular therapy and hemorrhagic transformation
included.
Criticalappraisal
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 Weakness
 Single center
 Retrospective
 Small sample size, inadequate for drawing conclusions and more so for sub-
group analysis.
 Poor outcome in DHC group, and all patients in malignant transformation has
undergone endovascular therapy. Separate analysis has not been done.
Criticalappraisal
Department of Neurosurgery
Tribhuvan University Teaching Hospital
 Admission status (GCS) except radiology unknown.
 Endovascular therapy and complication details not available. Angiography and
intervention given same gravity in data analysis.
 Eloquence of the infarction site not mentioned.
Criticalappraisal
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Take home message
 ONSD is simple, easy and non invasive method of assessment.
 It correlates well with raised ICP.
 It’s a dynamic measurement.
 It may have very useful implications for prognostication as well as guiding the therapy in
ICU patients in trauma as well as non trauma settings, where imaging is risky and
cumbersome to do.
 Further validation with prospective study is helpful to guide its use for the neuro-critical
patients.
Takehomemessage
Department of Neurosurgery
Tribhuvan University Teaching Hospital
Thank you

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Journal club opic nerve sheath diameter

  • 1. Department of Neurosurgery Tribhuvan University Teaching Hospital Journal club Presenter- Sandesh Dahal, MCh resident Date- 7th October, 2020 INTRODUCTION
  • 2. Department of Neurosurgery Tribhuvan University Teaching Hospital INTRODUCTION
  • 3. Department of Neurosurgery Tribhuvan University Teaching Hospital  Published in- BMC Neurology (2020) 20:354  Link page- https://doi.org/10.1186/s12883-020-01931-w  Impact factor- 2.350  Published year- 22nd sept, 2020 INTRODUCTION
  • 4. Department of Neurosurgery Tribhuvan University Teaching Hospital Background  Decompressive hemicraniectomy (DHC) can save lives from malignant MCA infarction.  Some studies claim it improves functional outcomes as well.  But all the studies to date have enrolled the patients after 12 hours of presentation.  They have excluded the patients who have undergone endovascular therapy. INTRODUCTION
  • 5. Department of Neurosurgery Tribhuvan University Teaching Hospital INTRODUCTION
  • 6. Department of Neurosurgery Tribhuvan University Teaching Hospital  But DHC is not without risk.  It has its own morbidity and mortality.  Some study claim, DHC increases survival at the cost of increasing morbidity and poor functional outcome.  Different clinical and radiological parameters studied to predict the malignant progression. INTRODUCTION
  • 7. Department of Neurosurgery Tribhuvan University Teaching Hospital  The predictors are,  clinical parameters,  initial infarct volume on DWI,  Imaging, especially midline shift (MLS) in CT scan.  ICP monitor has been employed in such conditions in trauma cases.  ICP monitor in malignant anterior cerebral infarction has been inconsistent. INTRODUCTION
  • 8. Department of Neurosurgery Tribhuvan University Teaching Hospital  So, there is need of dynamic parameter in predicting the progression in these patients.  Optic nerve sheath diameter (ONSD) and ONSD to ETD ratio (eye transverse diameter) can be useful bedside predictor to asses the progression of these patients. INTRODUCTION
  • 9. Department of Neurosurgery Tribhuvan University Teaching Hospital  The principle is, the optic nerve subarachnoid space communicates with that of chiasmatic cistern.  Any increase in ICP transmits this pressure into the optic nerve causing its enlargement.  So, it is presumed to be a good dynamic parameter to asses ICP.  The data need to be validated in the setting of huge anterior circulation infarction. INTRODUCTION
  • 10. Department of Neurosurgery Tribhuvan University Teaching Hospital Methods  Retrospective single center study.  Study period- January, 2010 to October, 2017.  Study center- Department of Neurology, Ajou University School of Medicine, South Korea. Methodology
  • 11. Department of Neurosurgery Tribhuvan University Teaching Hospital Method…  Inclusion criteria  Acute anterior circulation infarction DWI volume>82ml  Presentation within 6 hours of presentation  NIHSS score of >= 15.  Exclusion criteria  Significant contralateral stroke Methodology
  • 12. Department of Neurosurgery Tribhuvan University Teaching Hospital  Stroke management  Intravascular therapy as per physician’s decision  All patients underwent CT scan on presentation, CT angiography, and CT scan on the following day.  Medical Management of ICP as per hospital protocol.  Use of osmolar therapy and hypothermia as per hospital protocol. Methodology
  • 13. Department of Neurosurgery Tribhuvan University Teaching Hospital  Classification CT time-points  Siemens 128 slice CT scan  5 mm axial cuts at 120 kv, 200mAs.  CT done during arrival= CTbaseline  CT done after angiography or endovascular procedure= CTpostprocedure  CT done the following day= CTD1 Methodology
  • 14. Department of Neurosurgery Tribhuvan University Teaching Hospital Malignant progression and DHC  Done on the basis of clinical signs.  Signs  altered mental status,  flexor or extensor motor posturing,  pupillary abnormality,  respiratory pattern changes,  eye movement impairments, or  respiratory pattern abnormalities Methodology
  • 15. Department of Neurosurgery Tribhuvan University Teaching Hospital  Those signs with CT features of impending herniation were classified as malignant progressors.  Malignant progressors were classified as  Early- those occurring before CTD1  Late- those occurring after CTD1  DHC was done regardless of the age and whether thrombolysis done.  ONSD was not used for clinical decision making. Methodology
  • 16. Department of Neurosurgery Tribhuvan University Teaching Hospital  CT scan were interpreted using commercial CT viewing software.  ONSD/ETD measures in chest abdomen window, with five fold magnification.  ONSD was measured at 3 mm from the retina perpendicular to the long axis of optic nerve.  ETD was calculated as max transverse diameter from retina to retina.  All calculations made bilaterally and averaged. Methodology
  • 17. Department of Neurosurgery Tribhuvan University Teaching Hospital Methodology
  • 18. Department of Neurosurgery Tribhuvan University Teaching Hospital  MLS was measured in the same CT scan.  MLS calculated was displacement of septum pellucidum from midline.  To minimize bias, all the reading were taken two weeks apart.  Post-procedural hemorrhagic complications were classified in accordance with the European Cooperative Acute Stroke Study criteria. Methodology
  • 19. Department of Neurosurgery Tribhuvan University Teaching Hospital ECASS criteria Methodology
  • 20. Department of Neurosurgery Tribhuvan University Teaching Hospital Statistical analysis  The patients were grouped in two categories based on malignant progression.  Difference in clinical characters analyzed between the two groups.  CT difference between two groups were analyzed. Statisticalanalysis
  • 21. Department of Neurosurgery Tribhuvan University Teaching Hospital  longitudinal analysis of MLS and ONSD/ETD done.  linear mixed-effects model to estimate mean levels of the parameters over time within groups from baseline to D1 of follow-up, using available data done.  The fixed effects were CT time points.  Group and group-by time interaction effect and individual was included as a random effect. Statisticalanalysis
  • 22. Department of Neurosurgery Tribhuvan University Teaching Hospital  For imaging analysis of the CTpostprocedure time point, both MLS changes and ONSD/ETD changes adjusted for time by hours from CTbaseline to CTpostprocedure to account for time based changes.  Multivariate analysis done to confirm the clinical significance of time corrected changes in ONSD/ETD and MLS in prediction of early malignant progression. Statisticalanalysis
  • 23. Department of Neurosurgery Tribhuvan University Teaching Hospital  In the CTD1 time point, both MLS changes and ONSD/ETD changes were adjusted for time by days from CTbaseline to CTD1 to account for time based changes.  Multivariate analysis done to confirm the clinical significance of time corrected changes in ONSD/ETD and MLS in prediction of late malignant progression. Statisticalanalysis
  • 24. Department of Neurosurgery Tribhuvan University Teaching Hospital  The data are presented as the mean ± standard deviation or as the median [interquartile range].  A P-value less than 0.05 was considered statistically significant.  Statistical analyses were performed using IBM SPSS Statistics software version 25.  R software, version 3.6.2. (R Foundation for Statistical Computing, Vienna, Austria). Statisticalanalysis
  • 25. Department of Neurosurgery Tribhuvan University Teaching Hospital Results 39 12 7 Progression number of patients non pregression early progression late progression Total patients= 58 Results
  • 26. Department of Neurosurgery Tribhuvan University Teaching Hospital Results
  • 27. Department of Neurosurgery Tribhuvan University Teaching Hospital Baseline characters in two groups Results
  • 28. Department of Neurosurgery Tribhuvan University Teaching Hospital Results
  • 29. Department of Neurosurgery Tribhuvan University Teaching Hospital Results
  • 30. Department of Neurosurgery Tribhuvan University Teaching Hospital CT characters in two groups Results
  • 31. Department of Neurosurgery Tribhuvan University Teaching Hospital Results
  • 32. Department of Neurosurgery Tribhuvan University Teaching Hospital Results
  • 33. Department of Neurosurgery Tribhuvan University Teaching Hospital Results
  • 34. Department of Neurosurgery Tribhuvan University Teaching Hospital Results
  • 35. Department of Neurosurgery Tribhuvan University Teaching Hospital Results summary  About 1/3rd patients had malignant progression.  Those with malignant progression had worse outcome.  Complex T shape occlusion was associated with malignant progression.  One third of those going deterioration, went in late deterioration. Results
  • 36. Department of Neurosurgery Tribhuvan University Teaching Hospital  Factors significant for early deterioration are  DWI infarct volume  Those undergoing endovascular treatment  Complex T type occlusion  Hemorrhagic conversion  Midline shift  ONSD/ETD could not predict early deterioration from admission to angiography or endovascular time. Results
  • 37. Department of Neurosurgery Tribhuvan University Teaching Hospital  Late progression  Initial infarct volume does not correlate  Hemorrhagic pattern also does not correlate  Predicted by  MLS in mm/day  Change in ONSD/ETD ratio in %/day Results
  • 38. Department of Neurosurgery Tribhuvan University Teaching Hospital Discussion  This study shows increase in ONSD/ETD ration from baseline to CTD1 correlates with the malignant progression.  Rate of change from baseline was significant predictor of late progression.  Rate of change of MLS was predictor of malignant progression in both early and late progression. Discussion
  • 39. Department of Neurosurgery Tribhuvan University Teaching Hospital  This non-invasive method can be equivalent to invasive ICP monitoring that is done in trauma settings.  ICP also changes with posture and procedures that cause pain.  Similar things might have interfered the measurement of ONSD in the initial time point.  So, ONSD evaluation should be best done after stabilization. Discussion
  • 40. Department of Neurosurgery Tribhuvan University Teaching Hospital  ICP monitors used to assess ICP previously but inconsistent results, normal ICP on sensor with brainstem compression, pupillary changes and evidence of herniation on CT scan. Discussion
  • 41. Department of Neurosurgery Tribhuvan University Teaching Hospital  The current study may advocate CT or USG guided monitoring of the ONSD to evaluate the malignant progression of infarction.  Further prospective studies needed to confirm the results though. Discussion
  • 42. Department of Neurosurgery Tribhuvan University Teaching Hospital Discussion
  • 43. Department of Neurosurgery Tribhuvan University Teaching Hospital Discussion
  • 44. Department of Neurosurgery Tribhuvan University Teaching Hospital Discussion
  • 45. Department of Neurosurgery Tribhuvan University Teaching Hospital Discussion
  • 46. Department of Neurosurgery Tribhuvan University Teaching Hospital Discussion
  • 47. Department of Neurosurgery Tribhuvan University Teaching Hospital Discussion
  • 48. Department of Neurosurgery Tribhuvan University Teaching Hospital Conclusion  In acute stroke patients with malignant infarct cores, an increase in ONSD/ETD ratio compared to baseline increases the odds of malignant progression, and may be used as a marker for emergent therapeutic interventions. Conclusion
  • 49. Department of Neurosurgery Tribhuvan University Teaching Hospital Critical appraisal  Strength  CT protocol and criteria well defined.  Patients presented earlier than12 hours included.  Patients undergone endovascular therapy and hemorrhagic transformation included. Criticalappraisal
  • 50. Department of Neurosurgery Tribhuvan University Teaching Hospital  Weakness  Single center  Retrospective  Small sample size, inadequate for drawing conclusions and more so for sub- group analysis.  Poor outcome in DHC group, and all patients in malignant transformation has undergone endovascular therapy. Separate analysis has not been done. Criticalappraisal
  • 51. Department of Neurosurgery Tribhuvan University Teaching Hospital  Admission status (GCS) except radiology unknown.  Endovascular therapy and complication details not available. Angiography and intervention given same gravity in data analysis.  Eloquence of the infarction site not mentioned. Criticalappraisal
  • 52. Department of Neurosurgery Tribhuvan University Teaching Hospital Take home message  ONSD is simple, easy and non invasive method of assessment.  It correlates well with raised ICP.  It’s a dynamic measurement.  It may have very useful implications for prognostication as well as guiding the therapy in ICU patients in trauma as well as non trauma settings, where imaging is risky and cumbersome to do.  Further validation with prospective study is helpful to guide its use for the neuro-critical patients. Takehomemessage
  • 53. Department of Neurosurgery Tribhuvan University Teaching Hospital Thank you