Medical device SALs and surgical site infections: a mathematical model

It is commonly accepted that terminally sterilized healthcare products are rarely the source of a hospital-acquired infection (HAI). The vast majority of HAIs arise from human-borne contamination from the workforce, the clinical environment, less-than-aseptic handling techniques, and the patients themselves. Nonetheless, the requirement for a maximal sterility assurance level (SAL) of a terminally sterilized product has remained at 10(-6), which is the probability of one in one million that a single viable microorganism will be on a product after sterilization. This paper presents a probabilistic model that predicts choosing an SAL greater than 10(-6) (e.g. 10(-5) or 10(-4), and in some examples even 10(-3) or 10(-2)) does not have a statistically significant impact on the incidence of surgical site infections (SSIs). The use of a greater SAL might allow new, potentially life-saving products that cannot withstand sterilization to achieve a 10(-6) SAL to be terminally sterilized instead of being aseptically manufactured.

Interplay between spontaneous and induced brain activity during human non-rapid eye movement sleep

Humans are less responsive to the surrounding environment during sleep. However, the extent to which the human brain responds to external stimuli during sleep is uncertain. We used simultaneous EEG and functional MRI to characterize brain responses to tones during wakefulness and non-rapid eye movement (NREM) sleep. Sounds during wakefulness elicited responses in the thalamus and primary auditory cortex. These responses persisted in NREM sleep, except throughout spindles, during which they became less consistent. When sounds induced a K complex, activity in the auditory cortex was enhanced and responses in distant frontal areas were elicited, similar to the stereotypical pattern associated with slow oscillations. These data show that sound processing during NREM sleep is constrained by fundamental brain oscillatory modes (slow oscillations and spindles), which result in a complex interplay between spontaneous and induced brain activity. The distortion of sensory information at the thalamic level, especially during spindles, functionally isolates the cortex from the environment and might provide unique conditions favorable for off-line memory processing.

Functional neuroimaging insights into the physiology of human sleep

Functional brain imaging has been used in humans to noninvasively investigate the neural mechanisms underlying the generation of sleep stages. On the one hand, REM sleep has been associated with the activation of the pons, thalamus, limbic areas, and temporo-occipital cortices, and the deactivation of prefrontal areas, in line with theories of REM sleep generation and dreaming properties. On the other hand, during non-REM (NREM) sleep, decreases in brain activity have been consistently found in the brainstem, thalamus, and in several cortical areas including the medial prefrontal cortex (MPFC), in agreement with a homeostatic need for brain energy recovery. Benefiting from a better temporal resolution, more recent studies have characterized the brain activations related to phasic events within specific sleep stages. In particular, they have demonstrated that NREM sleep oscillations (spindles and slow waves) are indeed associated with increases in brain activity in specific subcortical and cortical areas involved in the generation or modulation of these waves. These data highlight that, even during NREM sleep, brain activity is increased, yet regionally specific and transient. Besides refining the understanding of sleep mechanisms, functional brain imaging has also advanced the description of the functional properties of sleep. For instance, it has been shown that the sleeping brain is still able to process external information and even detect the pertinence of its content. The relationship between sleep and memory has also been refined using neuroimaging, demonstrating post-learning reactivation during sleep, as well as the reorganization of memory representation on the systems level, sometimes with long-lasting effects on subsequent memory performance. Further imaging studies should focus on clarifying the role of specific sleep patterns for the processing of external stimuli, as well as the consolidation of freshly encoded information during sleep.

M-type channels selectively control bursting in rat dopaminergic neurons

Midbrain dopaminergic neurons in the substantia nigra, pars compacta and ventral tegmental area are critically important in many physiological functions. These neurons exhibit firing patterns that include tonic slow pacemaking, irregular firing and bursting, and the amount of dopamine that is present in the synaptic cleft is much increased during bursting. The mechanisms responsible for the switch between these spiking patterns remain unclear. Using both in-vivo recordings combined with microiontophoretic or intraperitoneal drug applications and in-vitro experiments, we have found that M-type channels, which are present in midbrain dopaminergic cells, modulate the firing during bursting without affecting the background low-frequency pacemaker firing. Thus, a selective blocker of these channels, 10,10-bis(4-pyridinylmethyl)-9(10H)-anthracenone dihydrochloride, specifically potentiated burst firing. Computer modeling of the dopamine neuron confirmed the possibility of a differential influence of M-type channels on excitability during various firing patterns. Therefore, these channels may provide a novel target for the treatment of dopamine-related diseases, including Parkinson’s disease and drug addiction. Moreover, our results demonstrate that the influence of M-type channels on the excitability of these slow pacemaker neurons is conditional upon their firing pattern.

"Relevance vector machine" consciousness classifier applied to cerebral metabolism of vegetative and locked-in patients

The vegetative state is a devastating condition where patients awaken from their coma (i.e., open their eyes) but fail to show any behavioural sign of conscious awareness. Locked-in syndrome patients also awaken from their coma and are unable to show any motor response to command (except for small eye movements or blinks) but recover full conscious awareness of self and environment. Bedside evaluation of residual cognitive function in coma survivors often is difficult because motor responses may be very limited or inconsistent. We here aimed to disentangle vegetative from "locked-in" patients by an automatic procedure based on machine learning using fluorodeoxyglucose PET data obtained in 37 healthy controls and in 13 patients in a vegetative state. Next, the trained machine was tested on brain scans obtained in 8 patients with locked-in syndrome. We used a sparse probabilistic Bayesian learning framework called "relevance vector machine" (RVM) to classify the scans. The trained RVM classifier, applied on an input scan, returns a probability value (p-value) of being in one class or the other, here being "conscious" or not. Training on the control and vegetative state groups was assessed with a leave-one-out cross-validation procedure, leading to 100% classification accuracy. When applied on the locked-in patients, all scans were classified as "conscious" with a mean p-value of .95 (min .85). In conclusion, even with this relatively limited data set, we could train a classifier distinguishing between normal consciousness (i.e., wakeful conscious awareness) and the vegetative state (i.e., wakeful unawareness). Cross-validation also indicated that the clinical classification and the one predicted by the automatic RVM classifier were in accordance. Moreover, when applied on a third group of "locked-in" consciously aware patients, they all had a strong probability of being similar to the normal controls, as expected. Therefore, RVM classification of cerebral metabolic images obtained in coma survivors could become a useful tool for the automated PET-based diagnosis of altered states of consciousness.

An in computo investigation of the Landau-Kleffner syndrome

We describe a computational model of the thalamus and the cortex able to reproduce some essential epileptiform features commonly observed in the Landau-Kleffner syndrome. Investigation with this realistic model leads us to the formulation of a cellular mechanism that could be responsible for the epileptic discharges occuring with this severe syndrome. Understanding this mechanism is of prime importance for developing new therapeutical strategies.

Frozen shoulder

Stiffness is a consistent but nonspecific symptom of primary frozen shoulder, a condition defined by restriction of passive motion in all planes without glenohumeral abnormalities on plain radiographs. Since the first description by Duplay in 1872, theories and descriptions of the lesions have varied over time and across authors, with the main target of the condition being reported as the subacromial bursa in some studies and the rotator interval in others. Recent publications have pointed out similarities with Dupuytren's contracture. Magnetic resonance imaging has helped to understand the lesions by showing a specific pattern of postgadolinium enhancement during the first few months after symptom onset. Pain relief is the main objective of therapy. Oral medications have not been adequately evaluated, with the exception of glucocorticoids, which hasten the resolution of nighttime pain to a modest degree. Intra-articular glucocorticoid injections are effective and are best performed under arthrographic control. It has been suggested that intra-articular glucocorticoid injections should be combined with joint capsule distension. An additional injection into the subacromial bursa has been found useful in patients with refractory pain. Motion range recovery is not always complete after 18 to 24 months and can be improved by physiotherapy. Methodological difficulties have precluded demonstration in formal studies of the undeniable benefits of physiotherapy. Joint capsule distension, and even more so arthroscopic capsulotomy with gentle mobilization, have provided promising results in patients with persistent stiffness, although the optimal time for performing these techniques remains to be determined.

Bone histology in adults with aseptic necrosis. Histomorphometric evaluation of iliac biopsies in seventy-seven patients

We studied the bone histology by histomorphometric methods in transiliac bone-biopsy specimens from seventy-seven adult patients with aseptic osteonecrosis and normal kidney function. The trabecular bone volume, trabecular osteoid volume, trabecular osteoid surfaces, thickness index of osteoid seams, total resorption surfaces, calcification rate, tetracycline-labeled surfaces, and bone-formation rate at the basic multicellular unit level and at the tissue level were determined. Histological evidence of osteomalacia was found in nine patients, of whom four were alcoholics. In the remaining sixty-eight patients--fifteen treated with corticosteroids, twenty-nine alcoholics, and twenty-four who did not have any detectable etiological factor--a common histomorphometric profile was found. This consisted morphologically of a reduction in trabecular bone volume and in the thickness of osteoid seams, and dynamically of a reduction in calcification rate and in total labeled surfaces. All of these changes suggested a marked decrease in osteoblastic appositional rate and in bone-formation rate at the cell and tissue levels. This could induce a healing defect of microfractures and thus facilitate subchondral fractures.

CLINICAL RELEVANCE

This histological study indicated that non-apparent bone disease--either osteoporosis or osteomalacia--may underlie aseptic osteonecrosis in almost all patients, and be found even when blood and urinary biochemical parameters, usually reflecting bone-remodeling, are normal. An iliac-crest bone biopsy with static and dynamic histomorphometric study is the appropriate method for detecting these abnormalities. These results are of importance for understanding the pathophysiological mechanisms underlying osteonecrosis as well as its prevention and treatment.