Crown Taper Angles Achieved by Dental Students: A Systematic Review.

The aim of this systematic review was to examine the literature on clinical taper angles achieved by dental students during crown preparation to determine the theoretical and clinically acceptable values identified in research studies. Medline, Embase, Web of Knowledge, the Cochrane Library, the British Dental Journal, and the Journal of the American Dental Association were searched to identify relevant studies. Studies were included if they were in vivo research on full crown preparations by dental students and published in English. Data extracted were country, year of publication, model selection and measurement methods, tests for reproducibility, tooth type, number of teeth assessed, and tapers achieved. The search resulted in 12 included articles from 11 countries published between 1978 and 2014 featuring a total of 2,306 preparations. In those studies, students failed to achieve ideal convergence angles (between 4° and 14°) but produced clinically acceptable results (between 10° and 20°). These findings should be taken into account when assessing dental students during their training programs.

The concentration of ethanol affects its penetration rate in bovine cardiac and hepatic tissues.

INTRODUCTION: Ethanol is a commonly used fixative. Fixation of the inner layers of the tissue depends on the ability of the fixative to diffuse into the tissue. It is unknown whether the concentration of ethanol affects its penetration into tissues. This study aimed to compare the penetration rates of 50% and 100% ethanol into bovine heart and liver tissues. MATERIALS AND METHODS: The penetration distance and tissue shrinkage or expansion were measured by analysing the digital images of the heart and liver tissues before and after immersion in ethanol at 20°C for 2, 6, 24 or 30 hours. The penetration coefficients were calculated as the slope of the regression line using the linear regres-sion function between the penetration distance and square root of fixation time. Differences in tissue shrinkage or expansion and penetration distance at various time points between the two concentrations of ethanol were analysed using a mixed design ANOVA followed by Bonferroni's post-hoc test. RESULTS: The penetration distance of 100% ethanol was significantly greater in both heart and liver tissues com-pared with that of 50% ethanol (n = 4, p < 0.05 for both). 100% ethanol shrank immersed liver tissue signifi-cantly more than 50% ethanol (p = 0.002), but the shrinkage of the heart tissue caused by two concentrations of ethanol did not significantly differ (p = 0.054). The greater penetration distance of 100% over 50% ethanol remained unchanged after normalising the penetration distance to the individual tissue's shrinkage (n = 4, p < 0.001). The mean penetration coefficient of 100% ethanol was significantly greater than 50% ethanol in the heart tissue (0.906 vs. 0.442, p = 0.003) and in the liver tissue (0.988 vs. 0.622, p = 0.028). CONCLUSIONS: It was proven that in two types of tissue that substantially differ in histological structures, 100% ethanol penetrated tissue significantly faster than 50% ethanol.

Phaeochromocytoma presenting with labile blood pressures following coronary artery bypass grafting.

Pheochromocytomas have been reported prior to and during coronary artery bypass surgery. We present a patient with an undiagnosed pheochromocytoma who presented with labile hypertension following coronary artery bypass surgery. This case calls attention to the inclusion of an undiagnosed pheochromocytoma in the differential diagnosis for all patients who develop labile hypertension in the postoperative period following cardiac surgery.

Designing for Safety: Implications of a Fifteen Year Review of Swallowed and Aspirated Dentures.

OBJECTIVES: Dentures are worn by around 20% of the population, yet if they become displaced they may enter the gastrointestinal or respiratory system, sometimes with grave consequences. The aim of this study was to review recent published literature in order to identify the epidemiology of patients and characteristics of swallowed and aspirated dental prostheses, and propose strategies to minimise these risks. MATERIAL AND METHODS: A fifteen year retrospective of published case series and case reports was carried out. Photographs, radiographs and descriptions of the dental prostheses were gathered, as well as the patient's presenting complaint, the anatomical site where the denture was caught and the procedure required to remove the denture. RESULTS: Ninety one separate events of swallowed or aspirated dentures were identified from 83 case reports and series from 28 countries. Average age was 55 years, and these were 74% male. Photographs were retrieved for 49 of these dentures. Clasps were present in 25 of the dentures. There was no significant difference between clasped and unclasped dentures for perforation rates, need for open surgery and spontaneously passed dentures. CONCLUSIONS: We discuss the implications of this study regarding denture designs, specifically the importance of using a radiopaque acrylic, using clasps when required even if there is a risk of aspiration, advising patients to return if a denture is loose or damaged, and finally that all patients who wear a denture are at risk of aspiration and swallowing events, and associated morbidity and mortality.

Recent advances in the monitoring and control of haemodynamic variables during haemodialysis: a review.

The human body possesses a unique set of organs that are responsible for providing homeostatic balance to the body's fluids. Of these, the kidneys regulate fluid and electrolyte balance in order to maintain the intracellular and extracellular fluid volumes and ion composition within tight limits. When kidneys fail to function normally, fluid is retained and several ions and solutes accumulate. The consequences may be life threatening. Many kidney failure patients rely on haemodialysis (HD) as a life sustaining therapy to remove the waste products and excess fluid from the circulating blood. HD is based on the principle of diffusion of solutes and ultrafiltration of fluid across a semi-permeable membrane. Fluid removal during HD results in relative hypovolaemia during which the stability of a patient relies on compensatory mechanisms to maintain blood pressure (BP). The major compensatory mechanisms include sympathetic nervous system activation of peripheral vasoconstriction together with modest heart rate acceleration to ensure the haemodynamic stability of the patient. Over the years, many monitoring tools have been developed in the hope of predicting intra-dialytic hypotensive episodes. Similarly many methods have been utilized to prevent dialysis-induced complications: ultrafiltration and dialysate sodium profiling, varying ultrafiltration based on frequent BP measurements, etc. This paper provides a comprehensive review of those monitoring and control tools. It starts with a brief introduction to human kidneys and dialysis for non-specialized readers. The paper then reviews the monitoring tools that have been applied to assess the physiological response of patients during HD. This is followed by control techniques used to prevent dialysis-induced complications.

Identification and control for automated regulation of hemodynamic variables during hemodialysis.

This paper proposes a novel model-based control methodology for a computer-controlled hemodialysis system, designed to maintain the hemodynamic stability of end-stage renal failure patients undergoing fluid removal during hemodialysis. The first objective of this paper is to introduce a linear parameter varying system to model the hemodynamic response of patients during hemodialysis. Ultrafiltration rate (UFR) and dialysate sodium concentration (DSC) are imposed as the inputs, and the model computes the relative blood volume (RBV), percentage change in heart rate ( ∆HR), and systolic blood pressure (SBP) during the course of hemodialysis. The model parameters were estimated based on data collected from 12 patients undergoing 4 profiled hemodialysis sessions. The modeling results demonstrated that the proposed model could be useful for estimating the individual patient's hemodynamic behavior during hemodialysis. Based on the model, the second objective is to implement a computer-controlled hemodialysis system for the regulation of RBV and HR during hemodialysis while maintaining SBP within stable range. The proposed controller is based on a model predictive control approach utilizing pre-defined constraints on the control inputs (UFR and DSC) as well as the output (SBP). The designed control system was experimentally verified on four patients. The results demonstrated that the proposed computer-controlled hemodialysis system regulated the RBV and HR of the patients according to individual reference profiles with an average mean square error of 0.24% and 2.6%, respectively, and thus can be potentially useful for ensuring the stability of patients undergoing hemodialysis by avoiding sudden changes in hemodynamic variables.

Linear parameter varying system based modeling of hemodynamic response to profiled hemodialysis.

This paper proposes a novel linear parameter varying (LPV) system to model the hemodynamic response of end-stage renal failure patients to profiled hemodialysis (PHD). Ultrafiltration rate (UFR) and dialysate sodium concentration (Na) are imposed as the control inputs and the model computes the relative blood volume (RBV), percentage change in heart rate (ΔDHR(%)) and percentage change in systolic blood pressure (ΔDSBP(%)) during the course of hemodialysis. Model parameters are estimated using least squares approach based on data collected from 12 patients where each patient underwent 4 profile hemodialysis sessions. Parameter identification based on four profiled sessions of the same patient revealed an average mean square error of 0.11 for RBV, 0.24 for ΔDHR and 0.43 for ΔDSBP. The results provided a good model to estimate the individual patient's hemodynamic behavior during hemodialysis. The developed model can play a vital role in designing a robust control system to automatically regulate the UFR and Na while maintaining the hemodynamic variables within stable range.

Respiration-induced changes in ear photoplethysmography relates to relative blood volume during hemodialysis.

Renal failure patients provide a good model of fluid overload with the process of hemodialysis leading to central hypovolemia. This study aims to assess if hemodialysis induces identifiable changes in ear photoplethysmographic waveform variability (PPGV). The results are based on data collected from 10 kidney failure patients undergoing regular hemodialysis; classified as either fluid removal or non-fluid removal patients. Six minutes of continuous photoplethysmography (PPG) signals were recorded at pre-dialysis, end of dialysis and at regular intervals of 20 minutes during hemodialysis. Baseline and amplitude variabilities were derived from the PPG waveform. Frequency spectrum analysis was applied to these variability signals and spectral powers were then calculated from low frequency (LF), mid frequency (MF) and high frequency (HF) bands. The results indicate that in fluid removal patients, LF (p = 0.04), MF (p = 0.03) and HF (p = 0.0003) powers of amplitude ear PPGV (expressed in mean-scaled units) showed a significant increase at the end of dialysis compared to pre-dialysis. No significant change was observed in non-fluid removal patients. A moderate correlation was found between relative blood volume (RBV) and HF power (median R = 0.64, p 〈 0.05). This study suggests that ear PPG may be a suitable monitor of the systemic circulation and can provide a non-invasive tool to detect blood volume loss.

Frequency spectrum analysis of finger photoplethysmographic waveform variability during haemodialysis.

This study investigates the peripheral circulatory and autonomic response to volume withdrawal in haemodialysis based on spectral analysis of photoplethysmographic waveform variability (PPGV). Frequency spectrum analysis was performed on the baseline and pulse amplitude variabilities of the finger infrared photoplethysmographic (PPG) waveform and on heart rate variability extracted from the ECG signal collected from 18 kidney failure patients undergoing haemodialysis. Spectral powers were calculated from the low frequency (LF, 0.04-0.145 Hz) and high frequency (HF, 0.145-0.45 Hz) bands. In eight stable fluid overloaded patients (fluid removal of >2 L) not on alpha blockers, progressive reduction in relative blood volume during haemodialysis resulted in significant increase in LF and HF powers of PPG baseline and amplitude variability (P < 0.01), when expressed in mean-scaled units. The augmentation of LF powers in PPGV during haemodialysis may indicate the recovery and possibly further enhancement of peripheral sympathetic vascular modulation subsequent to volume unloading, whilst the increase in respiratory HF power in PPGV is most likely a sign of preload reduction. Spectral analysis of finger PPGV may provide valuable information on the autonomic vascular response to blood volume reduction in haemodialysis, and can be potentially utilized as a non-invasive tool for assessing peripheral circulatory control during routine dialysis procedure.

Model predictive control of relative blood volume and heart rate during hemodialysis.

To maintain the hemodynamic stability of patient undergoing hemodialysis, this article proposes a novel model-based control methodology to regulate the changes in relative blood volume (RBV) and percentage change in heart rate (DeltaHR(%)) during hemodialysis by adjusting the ultrafiltration rate (UFR). The control algorithm uses model predictive control (MPC) to account for system variability and to explicitly handle the constraints on UFR. Linear state-space system with time-varying parameters is introduced to model the RBV and DeltaHR. MPC was used to track the change in RBV and DeltaHR to pre-defined reference trajectories. At each sampling instant, the system parameters are updated to get the best fitting into the parameterized model. Simulation results demonstrate that the system is able to regulate RBV and DeltaHR to the reference by adjusting UFR while keeping it within practically realizable bounds. The results show that adjusting UFR may improve the stability of patient during dialysis when compared to conventional hemodialysis with constant UFR.

RBF kernel based support vector regression to estimate the blood volume and heart rate responses during hemodialysis.

This paper uses non-linear support vector regression (SVR) to model the blood volume and heart rate (HR) responses in 9 hemodynamically stable kidney failure patients during hemodialysis. Using radial bias function (RBF) kernels the non-parametric models of relative blood volume (RBV) change with time as well as percentage change in HR with respect to RBV were obtained. The e-insensitivity based loss function was used for SVR modeling. Selection of the design parameters which includes capacity (C), insensitivity region (e) and the RBF kernel parameter (sigma) was made based on a grid search approach and the selected models were cross-validated using the average mean square error (AMSE) calculated from testing data based on a k-fold cross-validation technique. Linear regression was also applied to fit the curves and the AMSE was calculated for comparison with SVR. For the model based on RBV with time, SVR gave a lower AMSE for both training (AMSE=1.5) as well as testing data (AMSE=1.4) compared to linear regression (AMSE=1.8 and 1.5). SVR also provided a better fit for HR with RBV for both training as well as testing data (AMSE=15.8 and 16.4) compared to linear regression (AMSE=25.2 and 20.1).

Changes in the spectral powers of finger photoplethysmographic waveform variability in hemodialysis patients.

This paper reports changes in the spectral powers of finger photoplethysmographic waveform variability (PPGV) following hemodialysis compared to pre-dialysis. The results are based on data collected from 12 hemodynamically stable patients having regular hemodialysis thrice weekly. Six minutes of continuous electrocardiogram (ECG) and finger infra-red photoplethysmographic (PPG) signals were collected at pre-dialysis and at end of dialysis. A four minute artefact free segment was selected and baseline and amplitude variabilities were derived from PPG waveform. Heart rate variability was derived from ECG R-R interval. Frequency spectrum analysis was then applied to these variability signals. The spectral powers were then calculated from low frequency (LF), mid frequency (MF) and high frequency (HF) bands. The results indicate that LF (p=0.01) and MF (p=0.02) powers of baseline PPGV (expressed in mean-scaled units) and LF (p=0.006), MF (p=0.003) and HF (p=0.017) powers of amplitude PPGV (expressed in mean-scaled units) showed a significant increase at the end of dialysis compared to pre-dialysis. HRV spectral measures did not show any significant change. The increase in LF and MF powers in PPGV may suggest the recovery and further enhancement of peripheral sympathetic vascular modulation as a result of volume unloading in initially hypervolemic dialysis patients, at the same time the increase in respiratory HF power in PPGV may indicate preload reduction.

Assessing the blood volume and heart rate responses during haemodialysis in fluid overloaded patients using support vector regression.

This study aims to assess the blood volume and heart rate (HR) responses during haemodialysis in fluid overloaded patients by a nonparametric nonlinear regression approach based on a support vector machine (SVM). Relative blood volume (RBV) and electrocardiogram (ECG) was recorded from 23 haemodynamically stable renal failure patients during regular haemodialysis. Modelling was performed on 18 fluid overloaded patients (fluid removal of >2 L). SVM-based regression was used to obtain the models of RBV change with time as well as the percentage change in HR with respect to RBV. Mean squared error (MSE) and goodness of fit (R(2)) were used for comparison among different kernel functions. The design parameters were estimated using a grid search approach and the selected models were validated by a k-fold cross-validation technique. For the model of HR versus RBV change, a radial basis function (RBF) kernel (MSE = 17.37 and R(2) = 0.932) gave the least MSE compared to linear (MSE = 25.97 and R(2) = 0.898) and polynomial (MSE = 18.18 and R(2)= 0.929). The MSE was significantly lower for training data set when using RBF kernel compared to other kernels (p < 0.01). The RBF kernel also provided a slightly better fit of RBV change with time (MSE = 1.12 and R(2) = 0.91) compared to a linear kernel (MSE = 1.46 and R(2) = 0.88). The modelled HR response was characterized by an initial drop and a subsequent rise during progressive reduction in RBV, which may be interpreted as the reflex response to a transition from central hypervolaemia to hypovolaemia. These modelled curves can be used as references to a controller that can be designed to regulate the haemodynamic variables to ensure the stability of patients undergoing haemodialysis.

Effective health surveillance for occupational asthma in motor vehicle repair.

BACKGROUND: Diisocyanates are the commonest reported cause of occupational asthma (OA) in the UK. Health surveillance should play an important part in the early detection of disease and the prevention of long-term morbidity. AIM: To assess the efficacy of a UK-wide health surveillance programme provided to the motor vehicle repair industry. METHODS: Analysis of respiratory questionnaire and spirometry results during the period 1995-2000 and more detailed assessment of the outcome of cases suggestive of OA between 1998 and 2000. RESULTS: Approximately 3700 employees underwent health surveillance each year. As a result, a number (27%) required further assessment; information on 92 employees who were referred to their general practitioner (GP) for further assessment was examined. Half of these employees subsequently failed to see their GP and of those referred to a specialist only 63% attended that appointment. Of the 20 employees who did see a specialist, nine (45%) were subsequently diagnosed as having OA due to isocyanates, indicating a mean annual incidence rate of 0.79 per 1000 workers identified by surveillance. A year after identification, five of the diagnosed employees were still working in the same job. CONCLUSIONS: Health surveillance is only one part of a process for identifying OA. In this programme, the high drop out rate of employees in the medical investigation process initiated by surveillance was a significant problem. Recommendations are suggested for the future operation of respiratory health surveillance programmes.

Outcome of overseas commercial kidney transplantation: an Australian perspective.

Lack of donors has led to a worldwide increase in commercial kidney transplantation programs where recipients acquire kidneys either from executed prisoners or live non-related donors. Commercial transplantation is prohibited by legislation in Australia. Our centres have had 16 patients who have travelled overseas to receive a commercial kidney transplant; five have subsequently died. As has been found previously, patients who received commercial transplants were more likely to develop infections such as HIV, hepatitis B virus, cytomegalovirus and fungal infections. Previous reports have found that patient and graft survival were comparable to local results, whereas we found that patient and graft survival were worse than transplantation within Australia. Patients considering the option of overseas commercial donation should be advised that heightened risks to life and graft survival exist.

Chronic kidney disease and automatic reporting of estimated glomerular filtration rate: a position statement.

The systematic staging of chronic kidney disease (CKD) by glomerular filtration measurement and proteinuria has allowed the development of rational and appropriate management plans. One of the barriers to early detection of CKD is the lack of a precise, reliable and consistent measure of kidney function. The most common measure of kidney function is currently serum creatinine concentration. It varies with age, sex, muscle mass and diet, and interlaboratory variation between measurements is as high as 20%. The reference interval for serum creatinine concentration includes up to 25% of people (particularly thin, elderly women) who have an estimated glomerular filtration rate (eGFR) that is significantly reduced (< 60 mL/min/1.73 m). The recent publication of a validated formula (MDRD) to estimate GFR from age, sex, race and serum creatinine concentration, without any requirement for measures of body mass, allows pathology laboratories to "automatically" generate eGFR from data already acquired. Automatic laboratory reporting of eGFR calculated from serum creatinine measurements would help to identify asymptomatic kidney dysfunction at an earlier stage. eGFR correlates well with complications of CKD and an increased risk of adverse outcomes such as cardiovascular morbidity and mortality. We recommend that pathology laboratories automatically report eGFR each time a serum creatinine test is ordered in adults. As the accuracy of eGFR is suboptimal in patients with normal or near-normal renal function, we recommend that calculated eGFRs above 60 mL/min/1.73 m be reported by laboratories as "> 60 mL/min/1.73 m", rather than as a precise figure.