Intravenous Immunoglobulin Treatment of Recurrent Miscarriage： an Update of Placebo-controlled Trials

Recurrentmiscarriage (RM) isdefined as three ormoreconsecutivemiscarriagesand affects 0 .5～ 1 .0 % of all women.In less than 1 0 % of the couples a parentalchromosome abnormality ora significantuterine abnormality can be demonstrated ascauses.Some cases …     

The use of autogenous costal cartilage graft in septorhinoplasty

INTRODUCTION: Reconstructive septorhinoplasty in complex nasal deformities often requires harvesting a large amount of tissue for grafting. Autogenous septal cartilage has generally been considered the gold standard grafting material. The aim of this paper was to report our experience with the use of costal cartilage grafts in cases with significant structural deformities and insufficient septal cartilage. DESIGN: Retrospective chart review. PATIENTS: Between 1998 and 2006, 37 patients underwent septorhinoplasty using costal cartilage as the primary source for grafting. Twenty-two men and 14 women with a median age of 42 were enrolled in the study. Patient demographics, indications for surgery, and immediate and late complications were reviewed. The follow-up range was 3 to 72 months. CONCLUSIONS: Autogenous costal cartilage graft is a viable option in reconstructive septorhinoplasty. We advocate the use of this graft in septorhinoplasty cases requiring a large volume of tissue and insufficient septal cartilage.     

Nursing and substance misuse: responding to the challenge

The widespread use and misuse of alcohol, drug and other psychoactive substances are major health and social concerns that affect the lives of many The social and health sequelae of psychoactive drugs and alcohol are preventable and manageable with minimal interventions Nurses and other health workers can effectively respond to substance misuse problems and their existing generic skills can be easily adapted in working with substance misusers This paper considers some of the issues such as the extent of the problem, attitudinal considerations, response to substance misusers and a brief outline of the role of the nurse The urgent need for education and training in substance misuse and addictive behaviour for nurse practitioners is also addressed     

Use of end-tidalPco 2 and transcutaneousPco 2 as noninvasive measurement of arterialPco 2 in extubated patients recovering from general anesthesia

This study was designed to assess the accuracy of end-tidalPco ₂ and transcutaneousPco ₂ as measurements of arterialPco ₂ in extubated, spontaneously breathing patients recovering from general anesthesia. In 30 patients, measurement of arterial transcutaneous, and end-tidalPco ₂ were taken simultaneously with body temperature approximately every 15 minutes over a 2-hour period. ArterialPco ₂ values were corrected for body temperature. Values for Paco ₂ were compared with those forPetCO₂ and Psco ₂ by linear regression analysis and by calculation of bias ± precision. Thirty-six percent of the capnogram tracings obtained did not develop a plateau phase. We found poor correlation between end-tidal and arterialPco ₂ regardless of the shape of the capnogram tracing, as well as poor correlation between transcutaneous and arterialPco ₂. Although the measurements of bias and precision of noninvasivePco ₂ monitors in this population are comparable to studies in other populations, we advise caution in relying on the routine use ofPetCO₂ or Psco ₂ for the noninvasive assessment of respiratory depression in extubated, spontaneously breathing patients recovering from general anesthesia.     

Simulation studies of data classification by artificial neural networks: Potential applications in medical imaging and decision making

Artificial neural networks are being investigated in the field of medical imaging as a means to facilitate pattern recognition and patient classification. In the work reported here, the effects of internal structure and the nature of input data on the performance of neural networks were investigated systematically using computer-simulated data. Network performance was evaluated quantitatively by means of receiver operating characteristic analysis and compared with the performance of an ideal statistical decision maker. We found that the relatively simple neural networks investigated in this study can perform at the level of an ideal decision maker. These simple networks were also found to learn accurately even when the training data are extremely unbalanced with respect to the prevalence of actually positive cases and to differentiate input data patterns by recognizing their unique characteristics.