Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks

Although numerous R-peak detectors have been proposed in the literature, their robustness and performance levels may significantly deteriorate in low-quality and noisy signals acquired from mobile electrocardiogram (ECG) sensors, such as Holter monitors. Recently, this issue has been addressed by deep 1-D convolutional neural networks (CNNs) that have achieved state-of-the-art performance levels in Holter monitors; however, they pose a high complexity level that requires special parallelized hardware setup for real-time processing. On the other hand, their performance deteriorates when a compact network configuration is used instead. This is an expected outcome as recent studies have demonstrated that the learning performance of CNNs is limited due to their strictly homogenous configuration with the sole linear neuron model. This has been addressed by operational neural networks (ONNs) with their heterogenous network configuration encapsulating neurons with various nonlinear operators. In this study, to further boost the peak detection performance along with an elegant computational efficiency, we propose 1-D Self-Organized ONNs (Self-ONNs) with generative neurons. The most crucial advantage of 1-D Self-ONNs over the ONNs is their self-organization capability that voids the need to search for the best operator set per neuron since each generative neuron has the ability to create the optimal operator during training. The experimental results over the China Physiological Signal Challenge-2020 (CPSC) dataset with more than one million ECG beats show that the proposed 1-D Self-ONNs can significantly surpass the state-of-the-art deep CNN with less computational complexity. Results demonstrate that the proposed solution achieves a 99.10% F1-score, 99.79% sensitivity, and 98.42% positive predictivity in the CPSC dataset, which is the best R-peak detection performance ever achieved.

Influence of Sapindus mukorossi extract in comparison to 17% EDTA as final root canal irrigant on the sealer penetration and microleakage of dentinal tubules

OBJECTIVE

The study evaluated the effect of Sapindus mukorossi (SM) extract as a final root canal irrigant on sealer penetration (SP) in dentinal tubules and microleakage.

MATERIALS AND METHODS

Samples were selected based on inclusion and exclusion criteria. An access opening in all samples was performed and the working length was decided using pro taper for canal finishing along with constant irrigation. Specimens were randomly divided into 3 groups. Group 1 was irrigated with 3 ml of 17% EDTA; group 2 was irrigated with SM irrigant and group 3 samples were irrigated with 0.9% saline. After obturation, samples were vertically placed in 1% methylene blue dye cut in half longitudinally, and viewed under a stereomicroscope. Analysis of SP in the dentinal tubule was assessed using scanning electron microscopy (SEM). For microleakage assessment, mean and standard deviation were reported and One-Way ANOVA was applied. SP was compared using Kruskal-Wallis' test. For inspecting the interaction between SM/EDTA and NaOCl, Fisher's exact test was applied. No statistically significant difference between microleakage in any of the tested groups was observed. The control group showed minimum leakage as compared to EDTA and SM.

RESULTS

The results displayed that there was no significant difference, (p=0.67), between dentinal tubule SP at 2 mm. A significant difference between dentinal tubule SP among groups at 5 mm was observed (p<0.05).

CONCLUSIONS

SM ethanolic extract showed comparable outcomes of smear layer removal and sealer penetration to 17% EDTA, as a final irrigant in root canal cleaning. Therefore, SM has the potential to be used as an adjuvant final irrigant in conjunction with NaOCl.

Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models

Automated brain tumor segmentation from reconstructed microwave (RMW) brain images and image classification is essential for the investigation and monitoring of the progression of brain disease. The manual detection, classification, and segmentation of tumors are extremely time-consuming but crucial tasks due to the tumor's pattern. In this paper, we propose a new lightweight segmentation model called MicrowaveSegNet (MSegNet), which segments the brain tumor, and a new classifier called the BrainImageNet (BINet) model to classify the RMW images. Initially, three hundred (300) RMW brain image samples were obtained from our sensors-based microwave brain imaging (SMBI) system to create an original dataset. Then, image preprocessing and augmentation techniques were applied to make 6000 training images per fold for a 5-fold cross-validation. Later, the MSegNet and BINet were compared to state-of-the-art segmentation and classification models to verify their performance. The MSegNet has achieved an Intersection-over-Union (IoU) and Dice score of 86.92% and 93.10%, respectively, for tumor segmentation. The BINet has achieved an accuracy, precision, recall, F1-score, and specificity of 89.33%, 88.74%, 88.67%, 88.61%, and 94.33%, respectively, for three-class classification using raw RMW images, whereas it achieved 98.33%, 98.35%, 98.33%, 98.33%, and 99.17%, respectively, for segmented RMW images. Therefore, the proposed cascaded model can be used in the SMBI system.

Community based assessment on Knowledge, Attitude and Practices (KAP), Risk Factors and One Health Perspective of Brucellosis in rural and urban settings of Pakistan: A Cross-Sectional Study

Bovine brucellosis is an endemic zoonotic infection of ruminants in Pakistan with detrimental impacts on livestock economy. The major losses caused by brucellosis in animals include abortions, week calves, infertility, and reduced milk production. Regardless of the prevalence of the disease, limited data is available about brucellosis in Pakistan. The present study aimed to access the one health concept in prospective of Brucellosis among small-scale dairy farmers by examining knowledge, attitude and practices at the farms and household level that might pose a risk for humans contracting brucellosis. A community-based cross-sectional survey was conducted among small household dairy farms (n=333) in rural and urban areas of district Rawalpindi and Islamabad. The results revealed almost 74.17% of the participants knew about animal brucellosis and about 69.97% of the participants were able to identify the symptoms of animal brucellosis. 58.26% of participants showed knowledge about the transmission of disease from animals to humans. A majority (70.87%) of participants used the raw milk for making other dairy products. Most household farmers are unaware of routes of transmission and major risk factors of brucellosis. Almost all the participants, except veterinarians, including butchers, dairy farm owners and workers, slaughterhouse owners and workers and farmers were involved in at least one risky practice. The moderate knowledge and poor understanding of the disease emphasize the need to initiate awareness programs to educate the farmers who are at high risk along with the improvement of vaccination programs for animals and strict implementation of brucellosis eradication policy which should be devised by government.

Blind ECG Restoration by Operational Cycle-GANs

OBJECTIVE

ECG recordings often suffer from a set of artifacts with varying types, severities, and durations, and this makes an accurate diagnosis by machines or medical doctors difficult and unreliable. Numerous studies have proposed ECG denoising; however, they naturally fail to restore the actual ECG signal corrupted with such artifacts due to their simple and naive noise model. In this pilot study, we propose a novel approach for blind ECG restoration using cycle-consistent generative adversarial networks (Cycle-GANs) where the quality of the signal can be improved to a clinical level ECG regardless of the type and severity of the artifacts corrupting the signal.

METHODS

To further boost the restoration performance, we propose 1D operational Cycle-GANs with the generative neuron model.

RESULTS

The proposed approach has been evaluated extensively using one of the largest benchmark ECG datasets from the China Physiological Signal Challenge (CPSC-2020) with more than one million beats. Besides the quantitative and qualitative evaluations, a group of cardiologists performed medical evaluations to validate the quality and usability of the restored ECG, especially for an accurate arrhythmia diagnosis.

SIGNIFICANCE

As a pioneer study in ECG restoration, the corrupted ECG signals can be restored to clinical level quality.

CONCLUSION

By means of the proposed ECG restoration, the ECG diagnosis accuracy and performance can significantly improve.

Simultaneous malignant hyperthermia reactions in two siblings during living donor liver transplantation

We report a case of simultaneous malignant hyperthermia reactions occurring in two siblings during living donor liver transplantation. This report highlights the conflicting goals in the clinical management of liver transplantation and malignant hyperthermia, including the use of total intravenous anaesthesia and dantrolene in the face of the potential for drug-induced hepatotoxicity in the remnant liver or transplanted liver graft, as well as cautious fluid management needed for liver transplantation balanced against the liberal fluid therapy required to prevent acute kidney injury associated with malignant hyperthermia. The logistical challenges of managing this emergency in two closely related patients are discussed, including rapid preparation of two vapour-free anaesthesia machines, the need for availability of additional dantrolene and the requirement for additional personnel. Prompt recognition, immediate removal of the triggering agents and conversion to total intravenous anaesthesia helped to curtail the malignant hyperthermic reactions in our patients, both of whom made a full recovery.

Identification of locally isolated entomopathogenic Fusarium species from the soil of Changa Manga Forest, Pakistan and evaluation of their larvicidal efficacy against Aedes aegypti

Dengue fever vectored by the mosquito Aedes aegypti is one of the most rapidly spreading insect-borne diseases. Current reliance of dengue vector control is mostly on chemical insecticides. Growing insecticide resistance in the primary mosquito vector, Aedes aegypti, limits the effectiveness of vector control through chemical insecticides. These chemical insecticides also have negative environmental impacts on animals, plants and human health. Myco-biocontrol agents are naturally occurring organisms and are found to be less damaging to the environment as compared to chemical insecticides. In the present study, entomopathogenic potential of local strains of fungi isolated from soil was assessed for the control of dengue vector. Local fungal isolates presents better alternative to introducing a foreign biocontrol strain, as they may be better adapted to environmental conditions of the area to survive and may have more entomopathogenic efficacy against target organism. Larvicidal efficacy of Fusarium equiseti and Fusarium proliferatum was evaluated against Aedes aegypti. Local strains of F. equiseti (MK371718) and F. proliferatum (MK371715) were isolated from the soil of Changa Manga Forest, Pakistan by using insect bait method. Larvicidal activity of two Fusarium spp. was tested against forth instar larvae of A. aegypti in the laboratory, using concentrations 105, 106, 107 and 108 conidia /ml. LC50 values for F. equiseti after 24h, 48h, 72h and 96h of exposure were recorded as 3.8x 108, 2.9x107, 2.0x107, and 7.1x106 conidia /ml respectively while LC50 values for F. proliferatum were recorded as 1.21x108, 9.6x107, 4.2x107, 2.6x107 conidia /ml respectively after 24h, 48h, 72h and 96h of exposure. The results indicate that among two fungal strains F. equiseti was found to be more effective in terms of its larvicidal activity than F. proliferatum against larvae of A. aegypti.

Robust R-Peak Detection in Low-Quality Holter ECGs using 1D Convolutional Neural Network

OBJECTIVE

Noise and low quality of ECG signals acquired from Holter or wearable devices deteriorate the accuracy and robustness of R-peak detection algorithms. This paper presents a generic and robust system for R-peak detection in Holter ECG signals. While many proposed algorithms have successfully addressed the problem of ECG R-peak detection, there is still a notable gap in the performance of these detectors on such low-quality ECG records.

METHODS

In this study, a novel implementation of the 1D Convolutional Neural Network (CNN) is used integrated with a verification model to reduce the number of false alarms. This CNN architecture consists of an encoder block and a corresponding decoder block followed by a sample-wise classification layer to construct the 1D segmentation map of R-peaks from the input ECG signal. Once the proposed model has been trained, it can solely be used to detect R-peaks possibly in a single channel ECG data stream quickly and accurately, or alternatively, such a solution can be conveniently employed for real-time monitoring on a lightweight portable device.

RESULTS

The model is tested on two open-access ECG databases: The China Physiological Signal Challenge (2020) database (CPSC-DB) with more than one million beats, and the commonly used MIT-BIH Arrhythmia Database (MIT-DB). Experimental results demonstrate that the proposed systematic approach achieves 99.30% F1-score, 99.69% recall, and 98.91% precision in CPSC-DB, which is the best R-peak detection performance ever achieved. Results also demonstrate similar or better performance than most competing algorithms on MIT-DB with 99.83% F1-score, 99.85% recall, and 99.82% precision.

SIGNIFICANCE

Compared to all competing methods, the proposed approach can reduce the false-positives and false-negatives in Holter ECG signals by more than 54% and 82%, respectively.

CONCLUSION

Finally, the simple and invariant nature of the parameters leads to a highly generic system and therefore applicable to any ECG dataset.

Detection and Severity Classification of COVID-19 in CT Images Using Deep Learning

Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In this study, a cascaded system is proposed to segment the lung, detect, localize, and quantify COVID-19 infections from computed tomography images. An extensive set of experiments were performed using Encoder-Decoder Convolutional Neural Networks (ED-CNNs), UNet, and Feature Pyramid Network (FPN), with different backbone (encoder) structures using the variants of DenseNet and ResNet. The conducted experiments for lung region segmentation showed a Dice Similarity Coefficient (DSC) of 97.19% and Intersection over Union (IoU) of 95.10% using U-Net model with the DenseNet 161 encoder. Furthermore, the proposed system achieved an elegant performance for COVID-19 infection segmentation with a DSC of 94.13% and IoU of 91.85% using the FPN with DenseNet201 encoder. The proposed system can reliably localize infections of various shapes and sizes, especially small infection regions, which are rarely considered in recent studies. Moreover, the proposed system achieved high COVID-19 detection performance with 99.64% sensitivity and 98.72% specificity. Finally, the system was able to discriminate between different severity levels of COVID-19 infection over a dataset of 1110 subjects with sensitivity values of 98.3%, 71.2%, 77.8%, and 100% for mild, moderate, severe, and critical, respectively.

Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images

Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-19) has become a necessity to prevent the spread of the virus during the pandemic to ease the burden on the healthcare system. Chest X-ray (CXR) imaging has several advantages over other imaging and detection techniques. Numerous works have been reported on COVID-19 detection from a smaller set of original X-ray images. However, the effect of image enhancement and lung segmentation of a large dataset in COVID-19 detection was not reported in the literature. We have compiled a large X-ray dataset (COVQU) consisting of 18,479 CXR images with 8851 normal, 6012 non-COVID lung infections, and 3616 COVID-19 CXR images and their corresponding ground truth lung masks. To the best of our knowledge, this is the largest public COVID positive database and the lung masks. Five different image enhancement techniques: histogram equalization (HE), contrast limited adaptive histogram equalization (CLAHE), image complement, gamma correction, and balance contrast enhancement technique (BCET) were used to investigate the effect of image enhancement techniques on COVID-19 detection. A novel U-Net model was proposed and compared with the standard U-Net model for lung segmentation. Six different pre-trained Convolutional Neural Networks (CNNs) (ResNet18, ResNet50, ResNet101, InceptionV3, DenseNet201, and ChexNet) and a shallow CNN model were investigated on the plain and segmented lung CXR images. The novel U-Net model showed an accuracy, Intersection over Union (IoU), and Dice coefficient of 98.63%, 94.3%, and 96.94%, respectively for lung segmentation. The gamma correction-based enhancement technique outperforms other techniques in detecting COVID-19 from the plain and the segmented lung CXR images. Classification performance from plain CXR images is slightly better than the segmented lung CXR images; however, the reliability of network performance is significantly improved for the segmented lung images, which was observed using the visualization technique. The accuracy, precision, sensitivity, F1-score, and specificity were 95.11%, 94.55%, 94.56%, 94.53%, and 95.59% respectively for the segmented lung images. The proposed approach with very reliable and comparable performance will boost the fast and robust COVID-19 detection using chest X-ray images.

The general practice perspective on barriers to integration between primary and social care: a London, United Kingdom-based qualitative interview study

OBJECTIVE

There is an ongoing challenge of effective integration between primary and social care in the United Kingdom; current systems have led to fragmentation of services preventing holistic patient-centred care for vulnerable populations. To improve clinical outcomes and achieve financial efficiencies, the barriers to integration need to be identified and addressed. This study aims to explore the unique perspectives of frontline staff (general practitioners and practice managers) towards these barriers to integration.

DESIGN

Qualitative study using semistructured interviews and thematic analysis to obtain results.

SETTING

General practices within London.

PARTICIPANTS

18 general practitioners (GPs) and 7 practice managers (PMs) based in London with experience of working with social care.

RESULTS

The study identified three overarching themes where frontline staff believed problems exist: accessing social services, interprofessional relationships and infrastructure. Issues with contacting staff from other sectors creates delays in referrals for patient care and perpetuates existing logistical challenges. Likewise, professionals noted a hostile working culture between sectors that has resulted in silo working mentalities. In addition to staff being overworked as well as often inefficient multidisciplinary team meetings, poor relationships across sectors cause a diffusion of responsibility, impacting the speed with which patient requests are responded to. Furthermore, participants identified that a lack of interoperability between information systems, lack of pooled budgets and misaligned incentives between managerial staff compound the infrastructural divide between both sectors.

CONCLUSION

In this study, primary care staff identify intangible barriers to integration such as poor interprofessional relationships, in addition to more well-described structural issues such as insufficient funding and difficulty accessing social care. Participants believe that educating the next generation of medical professionals may lead to the development of collaborative, instead of siloed, working cultures and that change is needed at both an interpersonal and institutional level to successfully integrate care.

Medical school teaching on interprofessional relationships between primary and social care to enhance communication and integration of care - a pilot study

Background: A pilot study to identify if the delivery of teaching session to medical students would have the potential to enhance communication and a culture of integration between primary and social care, ultimately improving interprofessional relationships between primary and social care. Health and social care integration is a topic of great debate in the developed world and the focus of the upcoming Green Paper by the Secretary of State for Health and Social Care in the NHS. There is much uncertainty to how this should be done and is hindered by the various current barriers. The literature identifies that collaborative cultures encourage effective interprofessional relationships and that communication is vital to integration of primary and social care and should be established early in medical training. Materials and Method: The General Medical Council's Outcomes for Graduates and Imperial College School of Medicine curriculum were reviewed out to identify outcomes relating to inter-professional relationships between primary and social care. The relevant year group was surveyed to identify if the learning objective was delivered. In order to determine if delivery of a teaching session on nurturing interprofessional relationships between primary and social care would be effective, it was delivered to early clinical years to measure benefits as a pilot study. This was devised of case-based scenarios derived from learning objectives developed with experienced health care professionals. A survey was administered before and after the teaching session to determine if the students felt they had improved with respect to the learning objectives. Results: The initial survey identified the majority of students found the learning objectives were not delivered. The teaching session found a statistically significant improvement in confidence to nurture interprofessional relationships between primary and social care. Conclusion: Effective interprofessional relationships between primary and social care, improving communication and collaborative cultures, can be effectively taught in medical school, to improve integration of primary and social care.

Cephalic tetanus presenting with bilateral facial palsy

We discuss the case and differential diagnoses of an elderly man who presented with bilateral facial palsy. He had injured his forehead in the garden during a fall on his face and the open wound was contaminated by soil. He then presented to the emergency department with facial weakness causing difficulty speaking. The penny dropped when he started developing muscle spasms affecting his lower jaw a day after admission. It also became clear that he could not open his mouth wide (lock jaw). The combination of muscle spasms and lock jaw (trismus) made tetanus the most likely possibility, and this was proven when he had samples taken from his wound and analysed under the microscope, which showed Clostridium tetani bacilli. C. tetani spores are widespread in the environment, including in the soil, and can survive hostile conditions for long periods of time. Transmission occurs when spores are introduced into the body, often through contaminated wounds. Tetanus in the United Kingdom is rare, but can prove fatal if there is a delay in recognition and treatment.

Morbidity patterns and healthcare utilisation among older people in Malaysia: 1996-2015

OBJECTIVE

This article examines the trends in morbidities and healthcare utilisation in Malaysian older people aged 60 years and above.

STUDY DESIGN

This is a repeated cross-sectional study.

METHODS

Data from three nation-wide community-based surveys, which were conducted in 1996, 2006, and 2015 were analysed. Multivariate analysis was performed for 2015 data to identify factors associated with healthcare utilisation.

RESULTS

Analysis noted increasing trends in the prevalence of diabetes, hypertension, hypercholesterolaemia and obesity from 1996 to 2015. Decreasing trends were noted in the prevalence of current smokers and drinkers over this 20-year period, whereas health service utilisation increased with age in all surveys. In 2015, both inpatient and outpatient care are significantly associated with increasing age and diabetes.

CONCLUSIONS

Increasing trends of health problems and healthcare utilisation were observed among older people in Malaysia. Policymakers should plan for appropriate resources to meet the challenges of an ageing population in Malaysia.

Long-term functional outcomes after primary surgical repair of acute and chronic patellar tendon rupture: Series of 25 patients

OBJECTIVE

We aimed to evaluate the clinical outcomes after surgical repair of patellar tendon rupture (PTR) and compare the evolution of 2 types of rupture (acute and chronic) after the same rehabilitation protocol.

METHODS

This was a prospective cohort study of patients with PTR treated between January 2006 and January 2014 in the department of trauma surgery, Ibn Rochd university hospital, Casablanca.

RESULTS

We evaluated 25 patients (21 men) after a median follow-up of 75 months (range 29-120). The mean age was 34.7±8.59 years. Overall, 17 patients had acute rupture and 8 chronic rupture. Fifteen healthy volunteers (13 men) were recruited as a control group. Mean Knee Society Score (KSS) knee score was significantly higher after than before surgery (82.28±12.297 vs 20.64±7.6; P<0.0001) as was KSS function score (88.40±17.483 vs 23.40±8.98; P<0.0001). Pain measured on a visual analog scale was significantly lower after than before surgery (1.96±1.24 vs 6.60±1.26; P<0.0001). ROM and KSS knee and function scores were significantly lower on the operated than non-operated side after surgery. For both types of PTR, only knee extensor muscle strength was significantly lower on the operated than non-operated side and as compared with healthy volunteer knees.

CONCLUSIONS

Surgical repair of PTR with reinforcement and an early rehabilitation program demonstrate good results after a long follow-up. However, chronic PTR may need longer or a different rehabilitation protocol of the knee-extensor apparatus.

Severe hyperkalemia following adrenalectomy for aldosteronoma: prediction, pathogenesis and approach to clinical management- a case series

BACKGROUND

As the field of Primary Aldosteronism (PA) becomes ever expanded, diagnosis of PA is increasingly diagnosed by endocrinologists. With increased PA screening, many of the cases are now found in patients with complex co-morbidities in addition to their hypertension. Post adrenalectomy renal impairment with hyperkalemia is now increasingly seen in these complex patients, as evidenced by the numerous reports on this issue that have appeared within the past 3 years. We present a small case series to illustrate the breadth of the problem, along with a discussion about how such CKD/hyperkalemic events may be predicted.

CASE PRESENTATION

We present three cases of primary aldosteronism with long standing hypertension (more than 10 years) hypokalemia (2.0-3.0 mmol/l). Serum aldosterone was high with low renin activity leading to high aldosterone to renin ratio (ARR). They underwent abdominal CT scan revealing adrenal mass and adrenal vein sample confirmed lateralization. None of the patients had evidence of renal disease before surgery (as evident by normal eGFR and serum creatinine). Post adrenalectomy they had reduction in the blood pressure and became eukalemic. Serum aldosterone and renin activity were low leading to a low ARR. Case 1 developed hyperkalemia and increased serum creatinine 6 weeks post operatively which resolved with initiation of fludrocortisone and every attempt to discontinue fludrocortisone resulted in hyperkalemia and rising creatinine. Her hyperkalemia is under control with oral sodium bicarbonate. Case 2 developed hyperkalemia and increasing creatinine 2 months post operatively transiently requiring fludrocortisone and later on managed with furosemide for hyperkalemia. Case 3 developed renal impairment and hyperkalemia 2 weeks post operatively requiring fludrocortisone.

CONCLUSION

Post APA resection severe hyperkalemia may be a common entity and screening should be actively considered in high risk patients. Older age, longer duration of hypertension, impaired pre-op and post-op GFR and higher levels of pre-op aldosterone and are all risk factors which predict the likelihood of developing post-operative hyperkalemia. Fludrocortisone, sodium bicarbonate, loop diuretics and potassium binders can be used for treatment. Treatment choice should be tailored to patient characteristics including fluid status, blood pressure and serum creatinine. Potassium binders should be avoided in patients with history of recent abdominal surgery, opioid use and constipation. Serum electrolytes and creatinine should be monitored every 1-2 weeks after starting treatment to ensure an adequate response. Prolonged management may be necessary in some cases and at-risk patients should be counselled as to the meaning and importance of post-operative changes in measured renal function and potassium.

Design of enzyme-immobilized polymer brush-grafted magnetic nanoparticles for efficient nematicidal activity

Parasitic nematodes adversely affect agricultural industry and global health. An efficient and reusable nematicidal platform is developed by immobilization enzyme on the surface of magnetic NPs.

A kick in the shins: the financial impact of uncontrolled warfarin use in pre-tibial haematomas

Warfarin is increasingly prescribed in the elderly population for a number of medical conditions. Pre-tibial haematomas are a common cause of morbidity in this group. The aim of the study was to identify the proficiency of INR monitoring at a primary care level in correlation with their recommended INR range and to study the treatment outcome in this group. A retrospective single-centre study of patients diagnosed with pre-tibial haematomas was conducted over a two-year period. Length of hospital stay, time delay until operative intervention, blood transfusion and warfarin reversal requirements, social care input and cost to the NHS were considered. A total of 62 patients were admitted with pre-tibial haematomas of which 20 were on Warfarin. Females were predominantly more affected (5.6:1). The mechanism of injury was as a result of minor trauma. The mean INR level was 3.8 with a standard deviation of 3.1. Mean length of hospital stay was 11 days with a standard deviation of 13.6. Nine patients required skin grafting. Average cost for the acute episode was £3500 per patient. INR levels were significantly outwith the target range causing substantial patient morbidity and imposing a significant financial burden on the NHS. Tighter regulation at a primary care level should help reduce this risk.

Hepatic transaminase and alkaline phosphatase enzyme levels in HIV/HBV co-infected and HIV mono-infected patients in Maiduguri, Nigeria

BACKGROUND

Studies have shown that HIV-HBV co-infected patients have an increased risk of liver-related morbidity and mortality compared to their HIV-mono-infected counterparts. Furthermore, it has been reported that HIV-HBV co-infected patients have a significantly high incidence of drug-induced hepatotoxicity following commencement of HAART than HIV-mono-infected patients.

OBJECTIVES

To compare the levels of aspartate amino transferase (AST), alanine amino transferase (ALT) and alkaline phosphatase (ALKPO 4 ) enzyme levels between HAART naïve HIV-HBV co-infected patients and their HIV-mono-infected counterparts.

MATERIALS AND METHODS

A cross-sectional descriptive study in which 142 newly diagnosed HIV/HBV co-infected and HIV mono-infected adults were investigated for alkaline aminotransferase, aspartate aminotransferase and alkaline phosphatase enzyme levels.

RESULTS

The study subjects comprised of 80 (56.3%) females and 62 (46.7%) males. The age range of the study population was 15-65 years. The mean ages of male and female subjects were 45.5 ± 10.5 years and 39.1 ± 7.5 years respectively ( P < 0.05). Sixty-three (44.4%) study subjects were HIV/HBV co-infected while 79 (55.6%) were HIV mono-infected. The mean ALT enzyme level of HIV/HBV co-infected subjects was significantly higher than that of HIV mono-infected ones i.e., 42.12 IU/l vs. 27.86 IU/l, ( P = 0.038). However, there was no statistically significant difference in the mean AST (30.14 IU/l vs. 29.09 IU/l, P = 0.893) and ALKPO 4 (55.86 IU/l vs. 60.97 IU/l, P = 0.205) enzyme levels between HIV-HBV co-infected and HIV mono-infected subjects albeit the two enzymes were moderately elevated in both categories of subjects.

CONCLUSION

The significantly elevated ALT enzyme levels amongst HIV-HBV co-infected subjects suggest that HIV-HBV co-infected patients may have an increased risk of liver-related morbidity and mortality than their HIV mono-infected counterparts. Screening for serological markers of chronic HBV infection, as well as hepatic transaminase enzyme levels in all newly diagnosed HIV-positive patients is therefore recommended before commencement of HAART.

Evaluating tools to support a new practical classification of diabetes: excellent control may represent misdiagnosis and omission from disease registers is associated with worse control

AIMS

To conduct a service evaluation of usability and utility on-line clinical audit tools developed as part of a UK Classification of Diabetes project to improve the categorisation and ultimately management of diabetes.

METHOD

We conducted the evaluation in eight volunteer computerised practices all achieving maximum pay-for-performance (P4P) indicators for diabetes; two allowed direct observation and videotaping of the process of running the on-line audit. We also reported the utility of the searches and the national levels of uptake.

RESULTS

Once launched 4235 unique visitors accessed the download pages in the first 3 months. We had feedback about problems from 10 practices, 7 were human error. Clinical audit naive staff ran the audits satisfactorily. However, they would prefer more explanation and more user-familiar tools built into their practice computerised medical record system. They wanted the people misdiagnosed and misclassified flagged and to be convinced miscoding mattered. People with T2DM misclassified as T1DM tended to be older (mean 62 vs. 47 years old). People misdiagnosed as having T2DM have apparently 'excellent' glycaemic control mean HbA1c 5.3% (34 mmol/mol) vs. 7.2% (55 mmol/mol) (p<0.001). People with vague codes not included in the P4P register (miscoded) have worse glycaemic control [HbA1c 8.1% (65 mmol/mol) SEM=0.42 vs.7.0% (53mmol/mol) SEM=0.11, p=0.006].

CONCLUSIONS

There was scope to improve diabetes management in practice achieving quality targets. Apparently 'excellent' glycaemic control may imply misdiagnosis, while miscoding is associated with worse control. On-line clinical audit toolkits provide a rapid method of dissemination and should be added to the armamentarium of quality improvement interventions.

Meal patterns of malaysian adults: findings from the Malaysian adults nutrition survey (MANS)

INTRODUCTION

Meal patterns have received little attention in nutrition studies. The aim of this study is to present the findings on general meal patterns of Malaysian adults.

METHODS

The Malaysian Adults Nutrition Survey (MANS), carried out in 2002 and 2003, involved 6,928 adults selected by stratified random sampling from all households by zone in Peninsular Malaysia, Sabah and Sarawak.

RESULTS

In general, the results showed that most respondents (74.16%) ate three meals per day; 89.20% of the respondents consumed breakfast, while 88.57% consumed lunch and 91.97% consumed dinner with no significant difference in terms of sex. In Peninsular Malaysia, the Northern Zone had the highest number of people consuming breakfast compared to other zones. Meanwhile, the population in Sarawak had the largest proportion of people consuming lunch and dinner, but the smallest proportion of people consuming breakfast. A significantly higher number of the rural population consumed breakfast and lunch than urbanites; however there was no significant difference in dinner consumption. Generally, breakfast consumption increased with age whereby significant difference existed between the 18 to 19 years age group and the age group of 30 years and older. Lunch intake among the age groups showed no significant difference. In contrast, dinner consumption was significantly lower among the 18 to 19 years age group compared to all other age groups. Comparison among the ethnic groups showed that the Indian population had the lowest percentage of having breakfast and lunch while the Orang Asli had the lowest percentage of consuming dinner. However, the Orang Asli recorded the highest percentage for taking breakfast and lunch while the Chinese had the highest percentage of taking dinner.

CONCLUSION

Considering that Malaysian adults consumed their conventional breakfast, lunch and dinner, these findings indicatethat Malaysians are maintaining their traditional meal patterns.

Miscoding, misclassification and misdiagnosis of diabetes in primary care

AIMS

To determine the effectiveness of self-audit tools designed to detect miscoding, misclassification and misdiagnosis of diabetes in primary care.

METHODS

We developed six searches to identify people with diabetes with potential classification errors. The search results were automatically ranked from most to least likely to have an underlying problem. Eight practices with a combined population of 72,000 and diabetes prevalence 2.9% (n = 2340) completed audit forms to verify whether additional information within the patients' medical record confirmed or refuted the problems identified.

RESULTS

The searches identified 347 records, mean 42 per practice. Pre-audit 20% (n = 69) had Type 1 diabetes, 70% (n = 241) had Type 2 diabetes, 9% (n = 30) had vague codes that were hard to classify, 2% (n = 6) were not coded and one person was labelled as having gestational diabetes. Of records, 39.2% (n = 136) had important errors: 10% (n = 35) had coding errors; 12.1% (42) were misclassified; and 17.0% (59) misdiagnosed as having diabetes. Thirty-two per cent (n = 22) of people with Type 2 diabetes (n = 69) were misclassified as having Type 1 diabetes; 20% (n = 48) of people with Type 2 diabetes (n = 241) did not have diabetes; of the 30 patients with vague diagnostic terms, 50% had Type 2 diabetes, 20% had Type 1 diabetes and 20% did not have diabetes. Examples of misdiagnosis were found in all practices, misclassification in seven and miscoding in six.

CONCLUSIONS

Volunteer practices successfully used these self-audit tools. Approximately 40% of patients identified by computer searches (5.8% of people with diabetes) had errors; misdiagnosis is commonest, misclassification may affect treatment options and miscoding in omission from disease registers and the potential for reduced quality of care.

Primary lung cancer presenting as metastasis to the big toe

A 62-year-old man presented with a 6-week history of shortness of breath, weight loss and painful swelling of the great toe. Examination elicited an ulcerated swelling of the right great toe, thought to be an ingrowing toenail. Chest ‘crackles’ and an enlarged supraclavicular lymph node were detected. Biopsies of the toe swelling and bronchi both showed squamous cell carcinoma, confirmed radiologically as stage IV lung cancer. The patient was referred for palliative amputation of the toe. Cancer metastases to the digits may arise in bone, before enlarging to invade skin, or arise in skin first. 20-60% of cutaneous metastases present before or at the same time as the primary lung tumour. Cutaneous metastases and those in the digits indicate very poor prognosis. Their prompt diagnosis and management can dramatically improve a patient’s quality of life and should be strived for.

Hysterosalpingographic findings in infertile women: a seven year review

OBJECTIVES

To review the hysterosalpingographic (HSG) findings in women investigated for infertility in a tertiary center in north eastern Nigeria.

MATERIALS AND METHODS

A retrospective review of HSG films of 272 women investigated for infertility between January 2000 and December 2006 were reviewed.

RESULTS

One hundred and thirty (47.8%) were investigated for primary infertility, while 142 (52.2%) were investigated for secondary infertility. Most of the women investigated for infertility by HSG had abnormal findings 192(70.6%). The most common pathology revealed among the infertile women was tuboperitoneal factor in 196 (72.1%) followed by uterine synechia in 35(12.9%). Seventeen (6.3%) had bilateral tubal block and 5 (1.8%) had bicornuate uterus.

CONCLUSION

HSG is helpful in the investigation of infertile women.

Sonographic gallbladder wall thickness in normal adult population in Nigeria

Aim. The aim of the study was to determine the ultrasonic gallbladder wall thickness in normal adult Nigerians so as to create standards for defining gallbladder abnormalities in Nigerians. Method. Four hundred adults comprising 228 (57%) women and 172 (43%) men aged 16 - 78 years, who had normal clinical history and physical findings, were recruited. The gallbladder wall thickness was obtained in the supine, prone and right anterior oblique positions. Differences in gallbladder wall thickness were determined using the chi-square test, while the relationship between the ultrasound-measured gallbladder wall thickness and the subjects’ age, sex, height and weight were analysed using the Pearson product moment correlation. Normal ranges and related statistics were estimated and tabulated according to age group and sex. Results. The mean age of the subjects was 32±13.2 years. The mean gallbladder wall thickness range was 1.8 - 2.8 mm±0.5mm. The thickness range for females was 1.7 - 2.7 mm±0.5 mm, and that for males was 1.9 - 2.9 mm±0.5 mm. There was a statistically significant difference (p

Breastfeeding in Malaysia: Results of the Third National Health and Morbidity Survey (NHMS III) 2006

In Malaysia, the National Breastfeeding Policy recommends exclusive breastfeeding for the first six months of life and continued up to two years. Since the 1990s, several breastfeeding promotion programmes had been implemented in the country. This article reports the findings on the prevalence of breastfeeding practice from The Third National Health and Morbidity Survey (NHMS III) which was conducted in 2006. A total of 2167 mothers or carers of children below two years old were interviewed representing 804,480 of the estimated population of children aged below 2 years in Malaysia. Respondents were asked whether various types of liquid or solid food were given to the child at any time during the preceding 24-hour period. The overall prevalence of ever breastfed among children aged less than 12 months was 94.7% (CI: 93.0 - 95.9). The overall prevalence of exclusive breastfeeding below 6 months was 14.5% (CI: 11.7 - 17.9). Prevalence of timely initiation was 63.7% (CI: 61.4 - 65.9) and the continued prevalence of breastfeeding up to two years was 37.4% (CI: 32.9 - 42.2). The findings suggest that the programmes implemented in the last ten years were effective in improving the prevalence of ever breastfeeding, timely initiation of breastfeeding and continued breastfeeding up to two years. However, the challenge is to improve exclusive breastfeeding practice. Longterm community-based interventions need to be carried out in partnership with the existing health care system, focusing on discouraging the use of water and infant formula, especially in the first few months of life.

Physical Activity Pattern and Energy Expenditure of Malaysian Adults: Findings from the Malaysian Adult Nutrition Survey (MANS)

This paper aims to report the physical activity pattern and energy expenditure of adults aged 18 - 59 years in the Malaysian Adults Nutrition Survey (MANS) carried out between October 2002 and December 2003. The survey included 7349 adults representative of Peninsular Malaysia (Northern, Southern, Central and East Coast), as well as Sabah and Sarawak. A total of 6926 adults, comprising 3343 men and 3583 women, completed the physical activity section of the survey. Physical activity data was obtained using a physical activity questionnaire and 24-hour physical activity recall. Basal metabolic rate (BMR) was calculated from Ismail et al. (1998) predictive equations; total energy expenditure (TEE) was then estimated through factorial calculations based on time allocated and energy cost of various activities. Physical activity level (PAL) was calculated as the ratio of TEE to BMR. It was found that almost three-quarters of Malaysian adults traveled by passive modes of transportation. Only a third reported having ever-exercised, and an even smaller proportion of the population (14%) had adequate exercise. The population also spent the majority of their time (74% of the day) in sedentary activities, such as sleeping or lying down; doing light intensity activities (15% of the day), and doing moderate to vigorous intensity activities (10% of the day). Mean BMR and TEE was significantly higher amongst men than women, while mean PAL values were similar for men [1.6 (1.6 - 1.7)] and women [1.6 (1.6 - 1.6)]. More men (16%) were categorised as having active PAL compared to women (10%), while more women (43%) were categorised as having sedentary PAL compared to their male counterparts (37%). The present study provides the first in-depth report of the physical activity pattern, and national estimates of energy expenditure and physical activity levels of Malaysian adults, and concluded that Malaysian adults are generally sedentary. It is thus important that physical activity be further promoted and integrated into the lives of the population, preferably through various health promotion efforts as well as through the commitment of the authorities in providing a suitable environment for an active lifestyle.

PET-CT as an effective imaging modality in the staging and follow-up of post-transplant lymphoproliferative disorder following solid organ transplantation

INTRODUCTION

To establish the role of positron-emission tomography (PET)-computed tomography (CT) in post-transplant lymphoproliferative disorder (PTLD) patients, compared to conventional imaging (ultrasonography/CT/magnetic resonance imaging) in relation to its accuracy, sensitivity and specificity.

METHODS

30 patients (26 males and 4 females), with a median age of 49.5 (range 18-74) years, were retrospectively evaluated. In 29 cases, the diagnosis was confirmed by histopathology. Malignant lymphoma was detected in 20 cases, polymorphic lymphoproliferative disorder in six cases, multiple myeloma in two cases and Hodgkin's disease in one case. A total of 49 PET-CTs (13 studies for staging at diagnosis and 36 studies at follow-up as assessment post-therapy) were compared to conventional imaging. Imaging results in accordance with disease status were assessed at a median follow-up of 17.8 (range 1.5-42.2) months post-PET-CT.

RESULTS

In 41 of 49 examinations performed for staging and on follow-up, PET-CT and conventional imaging findings were concordant. Compared to conventional imaging, PET-CT showed comparable sensitivity (75 percent vs. 83 percent), similar specificity (100 percent in both modalities) and comparable accuracy (77 percent vs. 85 percent) during staging at diagnosis. PET-CT was found to be superior to conventional imaging modalities at follow-up, with greater sensitivity (100 percent vs. 81 percent), specificity (80 percent vs. 100 percent) and accuracy (97 percent vs. 83 percent).

CONCLUSION

PET-CT is an accurate diagnostic tool for staging and for the follow-up of PTLD patients. It represents a good alternative imaging method to avoid contrast-related nephrotoxicity in patients who often develop impaired renal function secondary to chronic immunosuppressive therapy. However, further studies are recommended before considering PET-CT as a routine diagnostic tool in PTLD.