An experimental paradigm for the prediction of post-operative pain (PPOP)

Journal of Visualized Experiments

Volumn , Issue 35, 2010, Pages

  Landau, Ruth ^a   Kraft, John C ^a   Flint, Lisa Y ^a   Carvalho, Brendan ^a   Richebé, Philippe ^a   Cardoso, Monica ^a   Lavand'homme, Patricia ^a   Granot, Michal ^a   Yarnitsky, David ^a   Cahana, Alex ^a  

^a UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

Author keywords

Cesarean section; Diffuse noxious inhibitory control; DNIC; Endogenous analgesia; Issue 35; JoVE Medicine; Pain modulation; Post operative pain; Prediction; Pregnancy induced analgesia; Psychophysical testing; Temporal summation; TS

Indexed keywords

EID: 80055121818     PISSN: 1940087X     EISSN: None     Source Type: Journal    
DOI: 10.3791/1671     Document Type: Article

References (5)

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4. Carvalho, B., Cohen, SE., Lipman, SS., Fuller, A., Mathusamy, AD., Macario, A. Patient preferences for anesthesia outcomes associated with cesarean delivery. Anesth Analg. 101, 1182-7 (2005).
5. Yarnitsky, D., Crispel, Y., Eisenberg, E., Granovsky, Y., Ben-Nun, A., Sprecher, E., Best, LA., Granot, M. Prediction of chronic post-operative pain: pre-operative DNIC testing identifies patients at risk. Pain. 138, 22-8 (2008).