Harvard Catalyst Profiles

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Satya Krishna Ramachandran, M.B.,B.S.

Concepts

This page shows the publications Satya Krishna Ramachandran has written about Polysomnography.
Connection Strength

0.345
  1. BOSTN Bundle Intervention for Perioperative Screening and Management of Patients With Suspected Obstructive Sleep Apnea: A Hospital Registry Study. Anesth Analg. 2020 05; 130(5):1415-1424.
    View in: PubMed
    Score: 0.136
  2. Derivation and validation of a simple perioperative sleep apnea prediction score. Anesth Analg. 2010 Apr 01; 110(4):1007-15.
    View in: PubMed
    Score: 0.067
  3. Time domain characterization for sleep apnea in oronasal airflow signal: a dynamic threshold classification approach. Physiol Meas. 2019 06 04; 40(5):054007.
    View in: PubMed
    Score: 0.032
  4. Is obstructive sleep apnea associated with difficult airway? Evidence from a systematic review and meta-analysis of prospective and retrospective cohort studies. PLoS One. 2018; 13(10):e0204904.
    View in: PubMed
    Score: 0.030
  5. Effects of Opioids Given to Facilitate Mechanical Ventilation on Sleep Apnea After Extubation in the Intensive Care Unit. Sleep. 2018 01 01; 41(1).
    View in: PubMed
    Score: 0.029
  6. Continuous Positive Airway Pressure Mitigates Opioid-induced Worsening of Sleep-disordered Breathing Early after Bariatric Surgery. Anesthesiology. 2016 Jul; 125(1):92-104.
    View in: PubMed
    Score: 0.026
  7. Validation of the STOP-Bang Questionnaire as a Screening Tool for Obstructive Sleep Apnea among Different Populations: A Systematic Review and Meta-Analysis. PLoS One. 2015; 10(12):e0143697.
    View in: PubMed
    Score: 0.025
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.