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1.
Eur J Neurosci ; 41(4): 498-504, 2015 Feb.
Article in English | MEDLINE | ID: mdl-25523008

ABSTRACT

Suppression of spinal responses to noxious stimulation has been detected using spinal fMRI during placebo analgesia, which is therefore increasingly considered a phenomenon caused by descending inhibition of spinal activity. However, spinal fMRI is technically challenging and prone to false-positive results. Here we recorded laser-evoked potentials (LEPs) during placebo analgesia in humans. LEPs allow neural activity to be measured directly and with high enough temporal resolution to capture the sequence of cortical areas activated by nociceptive stimuli. If placebo analgesia is mediated by inhibition at spinal level, this would result in a general suppression of LEPs rather than in a selective reduction of their late components. LEPs and subjective pain ratings were obtained in two groups of healthy volunteers - one was conditioned for placebo analgesia while the other served as unconditioned control. Laser stimuli at three suprathreshold energies were delivered to the right hand dorsum. Placebo analgesia was associated with a significant reduction of the amplitude of the late P2 component. In contrast, the early N1 component, reflecting the arrival of the nociceptive input to the primary somatosensory cortex (SI), was only affected by stimulus energy. This selective suppression of late LEPs indicates that placebo analgesia is mediated by direct intracortical modulation rather than inhibition of the nociceptive input at spinal level. The observed cortical modulation occurs after the responses elicited by the nociceptive stimulus in the SI, suggesting that higher order sensory processes are modulated during placebo analgesia.


Subject(s)
Evoked Potentials, Somatosensory , Neural Inhibition , Nociception/drug effects , Nociceptive Pain/physiopathology , Somatosensory Cortex/physiology , Spinal Cord/physiology , Adolescent , Adult , Analgesia , Female , Humans , Laser-Evoked Potentials , Male , Pain Measurement , Placebos/pharmacology
2.
Eur J Clin Microbiol Infect Dis ; 32(6): 807-14, 2013 Jun.
Article in English | MEDLINE | ID: mdl-23334663

ABSTRACT

Only a few studies have investigated the use of PCT in the diagnosis of bone and joint infection, and these studies have had relatively small sample sizes. We performed a systematic review and meta-analysis of the diagnostic performance of serum procalcitonin (PCT) in the identification of osteomyelitis and septic arthritis in patients who present with fever and orthopedic symptoms. EMBASE, MEDLINE, and Cochrane databases and the reference lists of relevant articles were searched, with no language restrictions, through February 2012. All original studies that reported the use of serum PCT alone or in comparison with other biomarkers for diagnosis of osteomyelitis and septic arthritis were included. Seven studies qualified for inclusion. These studies enrolled a total of 583 patients with suspected bone or joint infection, 131 of whom had confirmed osteomyelitis or septic arthritis. Analysis of the PCT data indicated a bivariate pooled sensitivity of 0.67 (95 % CI: 0.37-0.88), specificity of 0.90 (95 % CI: 0.78-0.96), a positive likelihood ratio (LR+) of 6.48 (95 % CI: 2.28-14.6), and a negative likelihood ratio (LR-) of 0.37 (95 % CI: 0.16-0.84). Use of a lower PCT cut-off value (0.2-0.3 ng/mL) improved the LR + to 6.66 and the LR- to 0.15. Analysis of the three studies that also measured serum C-reactive protein (CRP) indicated that CRP had an LR + of 1.39 (95 % CI: 1.17-1.65) and an LR- of 0.40 (95 % CI: 0.12-1.36). Our results indicate that PCT may be more suitable as an aid for rule-in diagnosis rather than for exclusion of septic arthritis or osteomyelitis and that use of a lower cut-off value for serum PCT may improve its diagnostic performance.


Subject(s)
Arthritis, Infectious/blood , Arthritis, Infectious/diagnosis , Calcitonin/blood , Osteomyelitis/blood , Osteomyelitis/diagnosis , Protein Precursors/blood , Calcitonin Gene-Related Peptide , Humans , Odds Ratio , ROC Curve
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