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Predictive performance of transcranial Doppler for PDPH

  • Priyam SaikiaEmail author
Letter to the Editor
  • 168 Downloads

Keywords

Predictive performance Pregnancy Transcranial doppler 

To the Editor:

I read with interest the article by Mowafy and Abd Ellatif and would like to bring a few points for due consideration [1].
  1. 1.

    Sample size should be based on the primary aim. Instead of using a predefined sensitivity/specificity or area under the curve (AUC) of receiver operating characteristic (ROC) curve, the authors chose to find an undisclosed difference of mean of cerebral artery velocity [1, 2]. Moreover, the cited study does not report the values used by authors [1]. Thus, it is unclear whether their study was adequately powered to examine their primary aim.

     
  2. 2.

    The standard deviation (SD) of mean velocity and pulsatility index is very narrow compared to the difference between the means of the groups [1]. Previous study suggests some overlap of the dispersion of those two parameters between the groups [1, 3]. This peculiar dispersion may have led to a `significant` p value, very narrow AUC of ROC and a near ideal sensitivity and specificity.

     
  3. 3.

    The reported 95% Confidence Interval (CI) of AUC of ROC of PI is 1–1 [1]. It is extremely unlikely that the observed sample parameter will depict the population parameter with such outstanding confidence.

     
  4. 4.

    Sensitivity and specificity values observed in a sample are estimates for the corresponding population parameters. Thus, the authors are expected to report their CI.

     

Notes

Compliance with ethical standards

Conflict of interest

None to declare.

References

  1. 1.
    Mowafy SMS, Abd Ellatif SE. Transcranial Doppler role in prediction of post-dural puncture headache in parturients undergoing elective cesarean section: prospective observational study. J Anesth. 2019;33:426–34.CrossRefPubMedGoogle Scholar
  2. 2.
    Hajian-Tilaki K. Sample size estimation in diagnostic test studies of biomedical informatics. J Biomed Inform. 2014;48:193–204.CrossRefPubMedGoogle Scholar
  3. 3.
    Serra‐Serra V, Kyle PM, Chandran R, Redman CW. Maternal middle cerebral artery velocimetry in normal pregnancy and postpartum. BJOG. 1997;104:904–9.CrossRefGoogle Scholar

Copyright information

© Japanese Society of Anesthesiologists 2019

Authors and Affiliations

  1. 1.Department of Anaesthesiology and Critical CareGauhati Medical College and HospitalGuwahatiIndia

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