The Role of Neutrophil-to-Lymphocyte Ratio in the Diagnosis of Acute Appendicitis

BACKGROUND

Acute appendicitis (AA), a common reason for episodes of acute abdomen, is a surgical emergency. Its immediate diagnosis and management are of immense significance, as its diagnosis can become challenging at times, especially in resource-limited setups. The goal of this study was to ascertain the threshold value for the neutrophil-to-lymphocyte ratio (NLR) in diagnosing AA and to calculate the validity parameters for the NLR.

METHODOLOGY

 A cross-sectional study was carried out involving 108 patients who were admitted to the surgical wards of Ayub Teaching Hospital, Abbottabad with suspicion of AA and subsequently underwent open appendectomy. Data was collected regarding the demography of the patients, physical examination findings, clinical presentations, and investigations including the histopathology and complete blood count, from which the NLR value was computed, and the Statistical Package for Social Sciences (SPSS), version 25.0 (IBM Corp., Armonk, NY) was utilized for the computation. Receiver operating characteristic (ROC) analysis was done to calculate the cut-off value of the NLR for diagnosing AA, and validity parameters were computed, taking into account statistical significance with a p-value < 0.05.

RESULTS

Based on the ROC analysis, a threshold value for NLR indicating a positive appendectomy was determined to be 2.49 (sensitivity = 71.4% and 1-specificity = 12.5%) with an area under the curve of 90.6% (95% confidence interval {CI} 0.818-0.994, p<0.001). The sensitivity, specificity, and diagnostic accuracy of NLR for diagnosing AA were 71.43%, 87.5%, and 72.73%, respectively.

CONCLUSION

 There is a strong correlation between NLR at a cut-off value of 2.49 and the diagnosis of AA. We suggest that NLR should be utilized as a complementary biomarker to clinical examination, aiding in the diagnosis of AA.

POEMS (Polyneuropathy, Organomegaly, Endocrinopathy, Monoclonal Plasma Cell Disorder, and Skin Changes) Syndrome as a Sequela of Castleman Disease: A Case Report

Polyneuropathy, organomegaly, endocrinopathy, monoclonal plasma cell disorder, and skin changes (POEMS) syndrome is a rare multisystemic paraneoplastic disorder caused by an underlying plasma cell dyscrasia. Its diagnosis is based on the presence of two mandatory criteria and at least one major and one minor criterion. We report a case of a 52-year-old female patient who presented with complaints of acrocyanosis, night sweats, scaly skin, and swelling on the left side of the neck. She was a known case of hypothyroidism, antiphospholipid syndrome, and cerebral venous thrombosis, and had other comorbidities as well. She also exhibited weakness and paresthesia of the limbs and muscle wasting in the hands. All necessary examinations and investigations were performed and the patient was eventually diagnosed with POEMS syndrome. She underwent chemotherapy along with immunotherapy initially, but as the disease relapsed, she was referred for high-dose therapy (HDT) and autologous stem cell transplantation.

Oestrogen And Progesterone Receptors' Expression Pattern In Fibro-Adenoma Of The Female Breast

BACKGROUND

Fibro-adenoma is the most common benign condition of the female breast comprising about 68% of all breast lumps. Fibroadenoma is an independent risk factor for the development of breast cancer. Complex fibroadenoma has a 2-3-fold increased risk ratio and simple fibroadenoma has 1.49 times increased risk ratio of developing cancer than the normal population over a period of 20 years. This study aimed to qualitatively check the frequency of oestrogen receptor-positive and progesterone receptor-positive cases of fibroadenoma in our region.

METHODS

This cross-sectional study was conducted in the pathology department of Ayub Medical College, Abbottabad from June 2020 to December 2021. Biopsy confirmed cases of fibroadenoma were examined using immune-histochemical stains to score qualitatively the expression pattern of ER and PR. Data was analyzed and assessed using SPSS version 25. A p-value of ≤0.05 was considered statistically significant.

RESULTS

The mean age of patients who presented with fibro-adenoma was 24.5±9.29 years with a median age of 21.5 years. In most cases, oestrogen receptor expression was mild 23 (54.76%) whereas progesterone receptor expression was severe 19 (45.23%). On chi-square test, the pattern of progesterone receptor expression for the category of hormone intake showed significant differences. Whereas, the pattern of oestrogen receptor expression for the categories of marital status, history of hormone intake, history of menstrual cycle and type of fibroadenoma showed no statistically significant difference.

CONCLUSIONS

Further study into the pathogenesis of fibroadenoma is required to understand the role of ER and PR and explore the therapeutic potential of such drugs that affects these receptors. Cabling.

Small hydropower generation using pump as turbine; a smart solution for the development of Pakistan's energy

Energy supply that is sustainable, effective, and economical has a strong association with socio-economic growth, particularly in developing countries such as Pakistan. Due to the ever-increasing gap between supply and demand, Pakistan has become an energy-deficient nation, with most people having no-to-limited access to power. Pakistan has been suffering from power shortages and an energy crisis because of its strong reliance on fossil-fuels to provide expensive electricity. Therefore, this paper offers a novel concept for developing Pakistan's energy by producing small-hydropower using Pump-As-Turbine (PAT), which is a form of Renewable-energy with lower environmental-impact and has not been used in Pakistan previously. PATs have shown several advantages over traditional hydro-turbines, such as minimum expenses, low-complexity, short delivery time, ease of spare parts, easy installation, availability in a large number of standard sizes, and massive production for broad-range of heads and flow rates. According to technical standards, any sort of pump could be used as PAT, including radial, mixed, single-stage, multi-stage etc. for power generation, which are capable of producing 5kW-1000kW of power, depending on their usage. However, Pakistan has shown little to no interest in exploring small/micro hydropower generation (PATs technology). Thus, this study offers public awareness and forward thinking regarding the use of advanced SHPs and draws the interests of legislators and different investors via solid recommendations about the cost-effective and environmental-friendly technology (PAT).

Performance of cough monitoring by Albus Home™, a contactless and automated system for nocturnal respiratory monitoring at home

Introduction

Objective cough frequency is a key clinical endpoint but existing wearable monitors are limited to 24-h recordings. Albus Home uses contactless motion, acoustic and environmental sensors to monitor multiple metrics, including respiratory rate and cough without encroaching on patient lifestyle. The aim of this study was to evaluate measurement characteristics of nocturnal cough monitoring by Albus Home compared to manual counts.

Methods

Adults with respiratory conditions underwent overnight monitoring using Albus Home in their usual bedroom environments. Participants set-up the plug-and-play device themselves. For reference counts, each audio recording was counted by two annotators, and cough defined as explosive phases audio-visually labelled by both. In parallel, recordings were processed by a proprietary Albus system, comprising a deep-learning algorithm with a human screening step for verifying or excluding occasional events that mimic cough. Performance of the Albus system in detecting individual cough events and reporting hourly cough counts was compared against reference counts.

Results

30 nights from 10 subjects comprised 375 h(h) of recording. Mean (s.d.) coughs/night were 90 (76). Coughs·h−1 ranged from 0 to 129. Albus counts were accurate across hours with high and low cough frequencies, with median sensitivity, specificity, positive-predictive-value, negative-predictive-values of 94.8,100.0,99.1, and 100.0% respectively. Agreement between Albus and reference was strong (Intra-class Correlation Coefficient[ICC] 0.99; 95%CI 0.99-0.99; p<0.001) and equivalent to agreement between observers and reference counts (ICC 0.98, 0.99 respectively).

Conclusions

Albus Home provides a unique, contactless and accurate system for cough monitoring, enabling collection of high-quality and potentially clinically relevant longitudinal data.

330 An End to Doctor’s Handwriting in the Digital Age: Evaluating the Legibility of Operation Notes in Otolaryngology

According to GMC Good Medical Practice, clinicians must record their work ‘clearly, accurately and legibly’. Operation notes are no exception and have several key functions. They serve reminder of procedural events, communicate information to the wider team and may be used as evidence when there are complications or complaints.

The aim of this audit was to evaluate the legibility of operation notes within the Otolaryngology department at Peterborough City Hospital.

Handwritten operation notes were audited from 8 dates chosen at random over a 2-month period (n = 27). Multiple surgeons and a variety of operations were included. Parameters such as legibility of the surgeon’s name, patient identification, date, name of procedure, events, findings, closure and post-op instructions were recorded.

Only 11% of the operation notes were legible in all relevant parameters. The surgeon’s name was either absent or not identifiable from the handwriting in 48%. Documentation of the procedure itself and post-op instructions was illegible in 18% and 29% of notes respectively.

Illegibility of operation notes is ultimately a patient safety-issue. Not only does it contribute to confusion about what happened during the surgery but also leaves room for error in terms of post-operative care and follow up. The results of the audit were discussed as part of a departmental meeting to highlight the importance of readable operation notes and help foster a culture of good record keeping.

A switch to computerised operation notes could ensure legibility and thus improve standards of patient care in the hospital.

DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time

Myocardial Infarction (MI) has the highest mortality of all cardiovascular diseases (CVDs). Detection of MI and information regarding its occurrence-time in particular, would enable timely interventions that may improve patient outcomes, thereby reducing the global rise in CVD deaths. Electrocardiogram (ECG) recordings are currently used to screen MI patients. However, manual inspection of ECGs is time-consuming and prone to subjective bias. Machine learning methods have been adopted for automated ECG diagnosis, but most approaches require extraction of ECG beats or consider leads independently of one another. We propose an end-to-end deep learning approach, DeepMI, to classify MI from Normal cases as well as identifying the time-occurrence of MI (defined as Acute, Recent and Old), using a collection of fusion strategies on 12 ECG leads at data-, feature-, and decision-level. In order to minimise computational overhead, we employ transfer learning using existing computer vision networks. Moreover, we use recurrent neural networks to encode the longitudinal information inherent in ECGs. We validated DeepMI on a dataset collected from 17,381 patients, in which over 323,000 samples were extracted per ECG lead. We were able to classify Normal cases as well as Acute, Recent and Old onset cases of MI, with AUROCs of 96.7%, 82.9%, 68.6% and 73.8%, respectively. We have demonstrated a multi-lead fusion approach to detect the presence and occurrence-time of MI. Our end-to-end framework provides flexibility for different levels of multi-lead ECG fusion and performs feature extraction via transfer learning.

Educational Environment In The Transition Phase Of Curriculum At Ayub Medical College Abbottabad, Pakistan

BACKGROUND

Evaluation of the educational environment is key to the delivery of high-quality medical education. Especially, when an institute is in the transition phase of curriculum. In curriculum transformation phase of Ayub Medical College Abbottabad, no such evaluation has been done. This study aimed to find the direction of Educational environment in the transition phase curriculum of Ayub Medical College Abbottabad and compare different domains of educational environment with gender, residency, pre-medical education's medium of instruction, and doctors among sibling or parents.

METHODS

This descriptive cross-sectional survey was conducted among students of integrated and traditional curriculum of Ayub Medical College, Abbottabad from 1st December 2019 to 29th February 2020. By Non-probability convenience sampling technique, pre-validated Dundee Ready Educational Environment Measure questionnaire was used. Descriptive and inferential statistics were calculated in SPSS v22.

RESULTS

A total 149 (100%) participants, 66 (44.3%) males and 83 (55.7%) females with mean age of 20.5±1.07 years responded. Among total, 76 (51%) were from integrated curriculum and 73 (49%) were of traditional curriculum. Significant difference was found among different aspect of education environments and both classes.

CONCLUSIONS

The current transitional phase of curriculum at Ayub Medical College Abbottabad is more positive than negative. Some areas like student social-self-perception still need improvement. Moreover, gender and place of birth affect student's perception about their learning environment.

Comparison of parametric and non-parametric Bayesian inference for fusing sensory estimates in physiological time-series analysis

The rapid proliferation of wearable devices for medical applications has necessitated the need for automated algorithms to provide labelling of physiological time-series data to identify abnormal morphology. However, such algorithms are less reliable than gold-standard human expert labels (where the latter are typically difficult and expensive to obtain), due to their large inter- and intra-subject variabilities. Actions taken in response to these algorithms can therefore result in sub-optimal patient care. In a typical scenario where only unevenly sampled continuous or numeric estimates are provided, without access to the "ground truth", it is challenging to choose which algorithms to trust and which to ignore, or even how to merge the outputs from multiple algorithms to form a more precise final estimate for individual patients. In this work, the novel application of two previously proposed parametric fully-Bayesian graphical models is demonstrated for fusing labels from (i) independent and (ii) potentially correlated algorithms, validated on two publicly available datasets for the task of respiratory rate (RR) estimation. These unsupervised models aggregate RR labels and estimate jointly the assumed bias and precision of each algorithm. Fusing estimates in this way may then be used to infer the underlying ground truth for individual patients. It is shown that modelling the latent correlations between algorithms improves the RR estimates, when compared to commonly employed strategies in the literature. Finally, it is demonstrated that the adoption of a strongly Bayesian approach to inference using Gibbs sampling results in improved estimation over the current state-of-the-art (e.g. hierarchical Gaussian processes) in physiological time-series modelling.

A Spectral-longitudinal Model for Detection of Heart Attack from 12-lead Electrocardiogram Waveforms

Cardiovascular diseases (CVDs) remain responsible for millions of deaths annually. Myocardial infarction (MI) is the most prevalent condition among CVDs. Although datadriven approaches have been applied to predict CVDs from ECG signals, comparatively little work has been done on the use of multiple-lead ECG traces and their efficient integration to diagnose CVDs. In this paper, we propose an end-to-end trainable and joint spectral-longitudinal model to predict heart attack using data-level fusion of multiple ECG leads. The spectral stage transforms the time-series waveforms to stacked spectrograms and encodes the frequency-time characteristics, whilst the longitudinal model helps to utilise the temporal dependency that exists in these waveforms using recurrent networks. We validate the proposed approach using a public MI dataset. Our results show that the proposed spectrallongitudinal model achieves the highest performance compared to the baseline methods.

Anaplastic thyroid carcinoma with leucocytosis

BACKGROUND

Anaplastic thyroid carcinoma is a high-grade tumour with poor prognosis. Most of the cases are easily diagnosed on cytology and some of these are associated with increased neutrophils in cytology specimen as well as in the blood. The objective of the study is to determine the frequency of neutrophilia with fever in anaplastic thyroid carcinoma.

METHODS

This descriptive cross-sectional study was performed in the Department of Pathology Ayub Teaching Hospital Abbottabad as well as in association with Advance lab Abbottabad. All the cases diagnosed as anaplastic thyroid carcinoma on cytology were included, histopathological examination was done only in 5 cases. The duration of study was from October 2016 to October 2019 were included in the study.

RESULTS

Out of 150 cases of thyroid cytology 09 were diagnosed as anaplastic thyroid carcinoma. The mean age of patients was 65.7±6.96. Gender distribution was 5/9 (55.6%) males and 4/9 (44.4%) were females. Out of which 05 were confirmed on histopathology 3 patients died within a month and 1 patient refused a biopsy. All of these cases were associated with an increased number of neutrophils on cytology and WBC count is 04 cases showed leucocytosis. All of them presented with rapidly growing mass in long-standing goitre with a median duration of 2 months. Weight loss was seen in 4/9 (44.44%), 3/9 (33.33%) presented with hoarseness of voice while only 1/9 (11.1%) patient presented with superior vena caval syndrome.

CONCLUSION

In long-standing goitre rapid increase in size with fever and leucocytosis are suggestive of anaplastic thyroid carcinoma which should be investigated promptly.

Severity detection tool for patients with infectious disease

Hand foot and mouth disease (HFMD) and tetanus are serious infectious diseases in low- and middle-income countries. Tetanus, in particular, has a high mortality rate and its treatment is resource-demanding. Furthermore, HFMD often affects a large number of infants and young children. As a result, its treatment consumes enormous healthcare resources, especially when outbreaks occur. Autonomic nervous system dysfunction (ANSD) is the main cause of death for both HFMD and tetanus patients. However, early detection of ANSD is a difficult and challenging problem. The authors aim to provide a proof-of-principle to detect the ANSD level automatically by applying machine learning techniques to physiological patient data, such as electrocardiogram waveforms, which can be collected using low-cost wearable sensors. Efficient features are extracted that encode variations in the waveforms in the time and frequency domains. The proposed approach is validated on multiple datasets of HFMD and tetanus patients in Vietnam. Results show that encouraging performance is achieved. Moreover, the proposed features are simple, more generalisable and outperformed the standard heart rate variability analysis. The proposed approach would facilitate both the diagnosis and treatment of infectious diseases in low- and middle-income countries, and thereby improve patient care.

Multi-Modal Diagnosis of Infectious Diseases in the Developing World

In low and middle income countries, infectious diseases continue to have a significant impact, particularly amongst the poorest in society. Tetanus and hand foot and mouth disease (HFMD) are two such diseases and, in both, death is associated with autonomic nervous system dysfunction (ANSD). Currently, photoplethysmogram or electrocardiogram monitoring is used to detect deterioration in these patients, however expensive clinical monitors are often required. In this study, we employ low-cost and mobile wearable devices to collect patient vital signs unobtrusively; and we develop machine learning algorithms for automatic and rapid triage of patients that provide efficient use of clinical resources. Existing methods are mainly dependent on the prior detection of clinical features with limited exploitation of multi-modal physiological data. Moreover, the latest developments in deep learning (e.g. cross-domain transfer learning) have not been sufficiently applied for infectious disease diagnosis. In this paper, we present a fusion of multi-modal physiological data to predict the severity of ANSD with a hierarchy of resource-aware decision making. First, an on-site triage process is performed using a simple classifier. Second, personalised longitudinal modelling is employed that takes the previous states of the patient into consideration. We have also employed a spectrogram representation of the physiological waveforms to exploit existing networks for cross-domain transfer learning, which avoids the laborious and data intensive process of training a network from scratch. Results show that the proposed framework has promising potential in supporting severity grading of infectious diseases in low-resources settings, such as in the developing world.

Improvement in Infection Prevention and Control Measures at The Children Hospital, Lahore. A My Child Matters Collaborative Project

Background: Overcrowding, lack of operational funds, and healthcare associated infections are major challenges at the Children Hospital Lahore, a public healthcare facility in Pakistan with 900 new pediatric cancer admissions annually. In 2014, a collaboration between My Child Matters (MCM), St. Jude Global Infectious Diseases Program (SJ-GID), and our institution was established to address these issues. Aim: To describe the effect of a collaborative improvement strategy on the infection prevention and control (IPC) standards in a pediatric oncology unit in a resource-limited setting. Methods: Our study was a prospective before-and-after study. We compare the WHO Hand Hygiene Self-Assessment Framework (HHSAF) and 4 modules of the St. Jude modified Infection Control Assessment Tool (ICAT) scores. Our strategy included: (1) creating a multidisciplinary team of pediatric hematology-oncology, infectious disease physicians, nurses, microbiologist, and a data manager, (2) engaging on monthly online IPC mentoring sessions with the SJ-GID and MCM mentors, (3) performing daily inpatient healthcare associated (HAI) surveillance rounds, and (4) providing regular hand hygiene training and compliance audits. Results: Our hand hygiene facility level per WHO scores increased from “Inadequate” during the baseline assessment to “Intermediate/Consolidation” by the end of 3-year implementation (122 vs 352 HHSAF scores). The sink: bed and hand sanitizer: bed ratios improved to 1:6 and 1:1 respectively. Six washrooms were added to our unit. ICAT general infection control module increased by 40% (45 vs 78 ICAT score) and hygiene compliance improved by 20% from baseline. Identification of HAI increased from baseline (4.07 vs 8.7 infections per 1000 patient days). A 25% of the isolates were multidrug-resistant microorganisms. Conclusion: Implementing a collaborative improvement strategy improved the IPC standards in our pediatric cancer center. The increase of HAI might be a result of a better surveillance and laboratory identification. Further targeted interventions should be develop to decrease HAI rates and infection-related morbidity and mortality in our population.

Rutin prevents cognitive impairments by ameliorating oxidative stress and neuroinflammation in rat model of sporadic dementia of Alzheimer type

The objective of the present study was to assess the neuroprotective role of rutin (vitamin P) and delineate the mechanism of action. Recent evidence indicates that rutin exhibits antioxidant potential and protects the brain against various oxidative stressors. More precisely, the aim of the present study was to examine the modulating impacts of rutin against cognitive deficits and oxidative damage in intracerebroventricular-streptozotocin (ICV-STZ)-infused rats. Rats were injected bilaterally with ICV-STZ (3 mg/kg), whereas sham rats received the same volume of vehicle. After 2 weeks of streptozotocin (STZ) infusion, rats were tested for cognitive performance using Morris water maze tasks and thereafter euthanized for further biochemical, histopathological, and immunohistochemical studies. Rutin pretreatment (25 mg/kg, orally, once daily for 3 weeks) significantly attenuated thiobarbituric acid reactive substances (TBARS), activity of poly ADP-ribosyl polymerase, and nitrite level and decreased level of reduced glutathione (GSH) and activities of its dependent enzymes (glutathione peroxidase [GPx] and glutathione reductase [GR]) and catalase in the hippocampus of ICV-STZ rats. ICV-STZ rats showed significant cognitive deficits, which was improved significantly by rutin supplementation. The results indicate that rutin attenuates STZ-induced inflammation by reducing the expression of cyclooxygenase-2 (COX-2), glial fibrillary acidic protein (GFAP), interleukin-8 (IL-8), inducible nitric oxide synthase (iNOS), nuclear factor-kB, and preventing the morphological changes in hippocampus. The study thereby suggests the effectiveness of rutin in preventing cognitive deficits and might be beneficial for the treatment of sporadic dementia of Alzheimer type (SDAT).

Long term intubation and successful weaning in two children with Guillain-Barre syndrome

No definite criteria exists in Guillian-Barre syndrome in children regarding prolonged ventilation through an endo-tracheal tube without tracheostomy and successful weaning using a T-piece. Here we report two such cases of Guillian-Barre syndrome requiring prolonged intubation for 56 days and ventilation for 30 days and ultimately successfully weaning them using the T-piece. Both the children eventually made a complete recovery, highlighting the point that in children prolonged intubation and ventilation using the portex tube is equally good, if not, better than tracheostomy with its attendant risks.