The heart muscle pumps blood to vital organs, which is indispensable for human life. Congestive heart failure (CHF) is characterized by the inability of the heart to pump blood adequately throughout the body without an increase in intracardiac pressure. The symptoms include lung and peripheral congestion, leading to breathing difficulty and swollen limbs, dizziness from reduced delivery of blood to the brain, as well as arrhythmia. Coronary artery disease, myocardial infarction, and medical co-morbidities such as kidney disease, diabetes, and high blood pressure all take a toll on the heart and can impair myocardial function. CHF prevalence is growing worldwide. It afflicts millions of people globally, and is a leading cause of death. Hence, proper diagnosis, monitoring and management are imperative. The importance of an objective CHF diagnostic tool cannot be overemphasized. Standard diagnostic tests for CHF include chest X-ray, magnetic resonance imaging (MRI), nuclear imaging, echocardiography, and invasive angiography. However, these methods are costly, time-consuming, and they can be operator-dependent. Electrocardiography (ECG) is inexpensive and widely accessible, but ECG changes are typically not specific for CHF diagnosis. A properly designed computer-aided detection (CAD) system for CHF, based on the ECG, would potentially reduce subjectivity and provide quantitative assessment for informed decision-making. Herein, we review existing CAD for automatic CHF diagnosis, and highlight the development of an ECG-based CAD diagnostic system that employs deep learning algorithms to automatically detect CHF.
Cyber-attack detection via on-gadget embedded models and cloud systems are widely used for the Internet of Medical Things (IoMT). The former has a limited computation ability, whereas the latter has a long detection time. Fog-based attack detection is alternatively used to overcome these problems. However, the current fog-based systems cannot handle the ever-increasing IoMT's big data. Moreover, they are not lightweight and are designed for network attack detection only. In this work, a hybrid (for host and network) lightweight system is proposed for early attack detection in the IoMT fog. In an adaptive online setting, six different incremental classifiers were implemented, namely a novel Weighted Hoeffding Tree Ensemble (WHTE), Incremental K-Nearest Neighbors (IKNN), Incremental Naïve Bayes (INB), Hoeffding Tree Majority Class (HTMC), Hoeffding Tree Naïve Bayes (HTNB), and Hoeffding Tree Naïve Bayes Adaptive (HTNBA). The system was benchmarked with seven heterogeneous sensors and a NetFlow data infected with nine types of recent attack. The results showed that the proposed system worked well on the lightweight fog devices with ~100% accuracy, a low detection time, and a low memory usage of less than 6 MiB. The single-criteria comparative analysis showed that the WHTE ensemble was more accurate and was less sensitive to the concept drift.
While endometriosis is fairly common, endometriosis of the appendix is a very rare occurrence. Correct pre-operative diagnosis is uncommon and definitive diagnosis is established by histology of the appendix. We present a case of endometriosis of the appendix that manifested as acute appendicitis in a 40-year-old woman.
Non-secretory multiple myeloma (NSMM) is a rare variant of the classic form of multiple myeloma (MM). In NSMM, no monoclonal gammopathy can be detected in serum or urine by conventional techniques, making the diagnosis more difficult. We describe a 71-year-old man who had been diagnosed and treated for granulocytic sarcoma one year prior to his recent problems of progressive low-back pain of two months duration. Skeletal X-rays showed diffuse osteolytic lesions with multiple pathological fractures but there was no monoclonal gammopathy in the serum or urine. The biopsy of the lytic lesion on the upper part of the femur showed infiltration by abnormal plasma cells. A diagnosis of NSMM was made and he was treated with chemotherapy. The early diagnostic difficulty and the challenges faced regarding the case are discussed.
Autonomic dysreflexia (AD) is not an uncommon clinical condition and it is usually detected in patients with complete spinal injuries at or above thoracic 6th vertebral level (T 6). This condition is reported to occur in 48- 60% of cases of spinal cord injury at or above the level of T6. But AD due to injury below T6 is rare. The basic mechanism is thought to be due to excessive, uncontrolled activation of sympathetic system. In the present case, we discuss a persistent AD in 55-yr-old tetraplegic patient with C5 American Spinal Injury Association (ASIA) grade A lesion due to a fall from 10 metre height. MRI examination showed C5 and C6 bi-facets fracture and dislocation with canal compromise. Wiring and fusion was performed but recurrent mucous plugging and aspiration pneumonia and urinary tract infection happened during the hospital stay. Three months later, he was re-admitted with multiple pressure sores, pneumonia, sepsis and high blood pressure. He was administered with nifedepine but the blood pressure kept fluctuating. The present study highlights how the precipitating factors like concomitant urinary tract infection, decubitus ulcers, spasticity triggered the AD attack. The knowledge of the AD and its proper diagnosis and management may be beneficial to all clinicians and the present article attempts to highlight such.
The chorea-acanthocytosis syndrome (CHAC) is a rare disorder beginning in late adolescent or adult life in association with acanthocytosis, a normal lipid profile and characterized by progressive neurological disease. The inheritance is usually autosomal recessive, although apparent sporadic and autosomal dominant instances are also known. We report here a young man who presented with choreo-athetoid movement, dystonia, tics, symmetrical axonal polyneuropathy with normal cognitive function. The subsequent peripheral blood film reveals acanthocytes > 5%. Diagnosis of neuroacanthocytosis was made.
Solid pseudopapillary tumors of the pancreas are very rare, low-grade malignant potentially curable neoplasms. Despite having non-specific symptomatology, they have typical features such as being more common in young women, and classically presenting as large abdominal masses. Accurate diagnosis is important because long-term survival hinges on complete resection of the tumor.
Schizophrenia is a common and devastating illness. Patients with schizophrenia may develop many disabilities both due to the disease process as well as due to side effects of the medication used. There are many advances in the treatment of schizophrenia, which can effectively reduce many of these disabilities. Treatment of schizophrenia is a primary health care responsibility and thus all health care personnel need to equip themselves with the latest knowledge on management issues. This article outlines the current management issues in schizophrenia.
Three East Timorese immigrants presented with signs and symptoms of heart failure in early December 1992. One of them also had features of peripheral neuropathy. Another collapsed within 24 hours of admission and attempts at resuscitation failed. The other two showed dramatic response to oral thiamine therapy. An investigation into their dietary history established gross deficiency in fresh vegetables.
We used Bayes' theorem to calculate the probability of enteric fever in 260 patients presenting with undiagnosed fever, without recourse to blood or stool culture results. These individuals were divided into 110 patients with enteric fever (63 culture positive, 47 culture negative) and 150 patients with other causes of fever. Comparison of the frequencies of occurrence of 19 clinical and laboratory events, said to be helpful in the diagnosis of enteric fever, in the two groups revealed that only 8 events were significantly more frequent in enteric fever. These were: a positive Widal test at a screening dilution of 1:40; a peak temperature greater than = 39 degrees C; previous treatment for the fever; a white blood cell count less than 9 X 10(6)/litre; a polymorphonuclear leucocyte count less than 3.5 X 10(6)/litre; splenomegaly; fever duration greater than 7 d; and hepatomegaly. When the probability of enteric fever was determined prospectively in 110 patients, using only 6 of these discriminating events, the probability of patients with a positive prediction having enteric fever (diagnostic specificity) was 0.80 (95% confidence interval: 0.68 to 0.91) and the probability of those with a negative prediction not having enteric fever (diagnostic sensitivity) was 0.92 (0.85 to 0.99). Using all 19 events did not alter the diagnostic specificity or diagnostic sensitivity. This study shows that a small number of clinical and laboratory features can objectively discriminate enteric fever from other causes of fever in the majority of patients. Calculating the probability of enteric fever can aid in diagnosis, when culturing for salmonella is either unavailable or is negative.