Activity

2%) and septic shock (15.2%), followed by persistent air leakage for >7 days (9.1%). Twenty-four (75%) of 32 patients had good re-expansion of the affected lung 3 months after VATS decortication.

We concluded that VATS decortication in the treatment of thoracic empyema is effective in elderly patients. The major concerns of postoperative complications are respiratory failure and sepsis.

We concluded that VATS decortication in the treatment of thoracic empyema is effective in elderly patients. The major concerns of postoperative complications are respiratory failure and sepsis.

Continuous EEG from critical care patients needs to be evaluated time efficiently to maximize the treatment effect. A computational method will be presented that detects rhythmic and periodic patterns according to the critical care EEG terminology (CCET) of the American Clinical Neurophysiology Society (ACNS). The aim is to show that these detected patterns support EEG experts in writing neurophysiological reports.

First of all, three case reports exemplify the evaluation procedure using graphically presented detections. Second, 187 hours of EEG from 10 critical care patients were used in a comparative trial study. For each patient the result of a review session using the EEG and the visualized pattern detections was compared to the original neurophysiology report.

In three out of five patients with reported seizures, all seizures were reported correctly. In two patients, several subtle clinical seizures with unclear EEG correlation were missed. Lateralized periodic patterns (LPD) were correctly found in 2/2 patients and EEG slowing was correctly found in 7/9 patients. In 8/10 patients, additional EEG features were found including LPDs, EEG slowing, and seizures.

The use of automatic pattern detection will assist in review of EEG and increase efficiency. The implementation of bedside surveillance devices using our detection algorithm appears to be feasible and remains to be confirmed in further multicenter studies.

The use of automatic pattern detection will assist in review of EEG and increase efficiency. The implementation of bedside surveillance devices using our detection algorithm appears to be feasible and remains to be confirmed in further multicenter studies.

Repetitive peripheral magnetic stimulation (rPMS over spinal root, nerve or muscle belly) is a promising technology in physiopathology research. As compared to electrical stimulation, rPMS is deemed to activate deep conductive structures and produce strong muscle contractions and massive proprioceptive afferents with minimal cutaneous recruitment. RPMS may thus act differently on neural plasticity involved in pain reduction and motor recovery in musculoskeletal or neurological conditions. However, literature is very scant and still controversial concerning afferents recruited by rPMS, thus no consensus is reached yet for its clinical use.

This review dealt with stimulation parameters reported in any scientific research that applied rPMS as an intervention to improve somatosensory or motor disorders with a view of proposing recommendations for future applications. see more Also, controversy on afferents recruitment was discussed.

The literature search resulted in 24 studies. Literature is scant on the topic but our review presents the rationale and the experimental data that may underlie the selection of parameters in future studies using rPMS as an intervention. Although controversy remains, the review presents that the specific recruitment of sensory afferents by magnetic stimulation may offer advantages and disadvantages depending on the pathology.

The review proposed recommendations to improve rPMS application in clinical research. However, the development of guidelines still requires methodological and clinical studies enrolling larger samples and with randomized sham-controlled designs.

The review proposed recommendations to improve rPMS application in clinical research. However, the development of guidelines still requires methodological and clinical studies enrolling larger samples and with randomized sham-controlled designs.

The ability to predict patient readmission risk is extremely valuable for hospitals, especially under the Hospital Readmission Reduction Program of the Center for Medicare and Medicaid Services which went into effect starting October 1, 2012. There is a plethora of work in the literature that deals with developing readmission risk prediction models, but most of them do not have sufficient prediction accuracy to be deployed in a clinical setting, partly because different hospitals may have different characteristics in their patient populations.

We propose a generic framework for institution-specific readmission risk prediction, which takes patient data from a single institution and produces a statistical risk prediction model optimized for that particular institution and, optionally, for a specific condition. This provides great flexibility in model building, and is also able to provide institution-specific insights in its readmitted patient population. We have experimented with classification methods suchls are able to give early warning signs compared to the discharge-time models, and may be able to help hospital staff intervene early while the patient is still in the hospital.

This paper aims at developing an automated gastroscopic video summarization algorithm to assist clinicians to more effectively go through the abnormal contents of the video.

To select the most representative frames from the original video sequence, we formulate the problem of gastroscopic video summarization as a dictionary selection issue. Different from the traditional dictionary selection methods, which take into account only the number and reconstruction ability of selected key frames, our model introduces the similar-inhibition constraint to reinforce the diversity of selected key frames. We calculate the attention cost by merging both gaze and content change into a prior cue to help select the frames with more high-level semantic information. Moreover, we adopt an image quality evaluation process to eliminate the interference of the poor quality images and a segmentation process to reduce the computational complexity.

For experiments, we build a new gastroscopic video dataset captured from 30 volu performance compared with other state-of-the-art models and supplies more suitable key frames for diagnosis. The developed algorithm can be automatically adapted to various real applications, such as the training of young clinicians, computer-aided diagnosis or medical report generation.

Previous studies have suggested an immunological dysfunction in bipolar disorder, but none has investigated the temporal association between allergic rhinitis (AR) and bipolar disorder.

Using Taiwan National Health Insurance Research Database, 9506 adolescents aged 12-18 years with allergic rhinitis were enrolled between 2000 and 2008 and compared to 38,024 age-and gender-matched (14) control groups. Subjects of bipolar disorder that occurred up to the end of follow-up (December 31, 2011) were identified.

Adolescents with AR had a significantly higher incidence of developing bipolar disorder (0.77 vs. 0.18 per 1000 person-years, p<0.001) during the follow-up period than the controls. Adolescents with AR had an increased risk (hazard ratio [HR] 4.62, 95% confidence interval [CI] 3.17-6.75) of developing bipolar disorder in their later life compared to the control group after adjusting for demographic data and comorbid allergic diseases.

This is the first study showing a temporal association between AR and bipolar disorder, in that patients who had AR in adolescence exhibited an increased risk of developing bipolar disorder in later life. Further study would be required to investigate the underlying mechanism about this association.

This is the first study showing a temporal association between AR and bipolar disorder, in that patients who had AR in adolescence exhibited an increased risk of developing bipolar disorder in later life. Further study would be required to investigate the underlying mechanism about this association.

Depression is one of the most prominent and debilitating symptoms in individuals with multiple sclerosis (MS), yet there is currently no consensus on the best instruments for depression screening in MS. More head to head comparisons of available screening instruments are needed to advise MS researchers and clinicians.

A cross-sectional comparison of the effectiveness of screening for MDD using multiple patient reported outcome (PRO) screeners against a modified SCID telephone interview was completed in 164 individuals with MS. Stratum goals were set for depression levels to ensure participation by people with borderline and higher levels of depression. Criterion standard was a modified SCID MDD module. PRO measures included the PHQ-9, BDI-FS, PROMIS depression, Neuro-QOL depression, M-PHQ-2, PHQ-2, and CESD.

48 (29%) individuals met the modified SCID criteria for MDD. The sensitivity of the PRO measures ranged from 60% to 100% while specificity ranged from 46% to 86%. The ROC area for the PRO measures rresearch and clinical purposes.Immunization saves millions of lives against vaccine-preventable diseases. Yet, 24 million children born every year do not receive proper immunization during their first year. UNICEF and WHO have emphasized the need to strengthen the immunization surveillance and monitoring in developing countries to reduce childhood deaths. In this regard, we present a software application called Jeev to track the vaccination coverage of children in rural communities. Jeev synergistically combines the power of smartphones and the ubiquity of cellular infrastructure, QR codes, and national identification cards. We present the design of Jeev and highlight its unique features along with a detailed evaluation of its performance and power consumption using the National Immunization Survey datasets. We are in discussion with a non-profit organization in Haiti to pilot test Jeev in order to study its effectiveness and identify socio-cultural issues that may arise in a large-scale deployment.Increased heterogeneity of the lung disturbs pulmonary gas exchange. During bronchoconstriction, inflammation of lung parenchyma or acute respiratory distress syndrome, inhomogeneous lung ventilation can become bimodal and increase the risk of ventilator-induced lung injury during mechanical ventilation. A simple index sensitive to ventilation heterogeneity would be very useful in clinical practice. In the case of bimodal ventilation, the index (H) can be defined as the ratio between the longer and shorter time constant characterising regions of contrary mechanical properties. These time constants can be derived from the Otis model fitted to input impedance (Zin) measured using forced oscillations. In this paper we systematically investigated properties of the aforementioned approach. The research included both numerical simulations and real experiments with a dual-lung simulator. Firstly, a computational model mimicking the physical simulator was derived and then used as a forward model to generate synthetic flow and pressure signals.