Knowledge, Attitude And Practice Of Common Cold And Its Management Among Doctors Of Pakistan.

BACKGROUND: Antibiotic misuse for upper respiratory tract infections such as the common cold is widespread in clinical practice. Excessive prescription of antibiotics by doctors has resulted in increased antimicrobial resistance. This led to our objective of determining the percentage of doctors in Pakistan prescribing antibiotics for the treatment of common cold and to know about their knowledge in preventing the spread of this disease. METHODS: It was a cross-sectional descriptive study, conducted in 9 cities of Pakistan including Rawalpindi, Islamabad, Peshawar, Lahore, Karachi, Faisalabad, Sargodha, Multan and D.G. Khan over a period of 03 months -from October to December, 2013. Questionnaire regarding the disease spread and its treatment was distributed among 300 randomly selected doctors in nine cities of Pakistan from both public and private sector. RESULTS: Eighteen percent of the doctors prescribe antibiotics for common cold. Only 113 (37.7%) doctors correctly responded that mean incubation period for common cold was 1-2 days. Two hundred and nine (69.7%) answered correctly that cold weather increases susceptibility to common cold. Only 84 (28%) responded correctly by choosing that regular and frequent hand-washing with good quality soaps was the most effective way to prevent spread of this disease in day-to-day life. CONCLUSIONS: Antibiotics are being prescribed for treatment of common cold by a large proportion of doctors. There is insufficient knowledge among our doctors regarding the factors which aggravate or alleviate common cold symptoms as well as the methods by which these infections can be prevented.

Glioblastoma multiforme from diagnosis to death: a prospective, hospital-based, cohort, pilot feasibility study of patient reported symptoms and needs.

PURPOSE: Glioblastoma (GBM) patients have many palliative care (PC) issues. To date, there are no studies examining the prospective usage of validated PC assessment tools as patient reported outcome measures for GBM patients. METHODS: GBM patients' PC issues were assessed from diagnosis to death or for at least 12 months every 7 weeks (±8 days) using semi-structured interviews and the Hospice and Palliative Care Evaluation (HOPE, including Eastern Cooperative Oncology Group (ECOG) performance status, 17 items) and the Palliative Outcome Scale (POS, 11 items). Data from patients who died within 12 months of the last patient's enrollment were evaluated using summarizing content analysis, visual graphical analysis (VGA), and linear mixed models for repeated measures. RESULTS: Nineteen of 33 patients screened were enrolled; two dropped out and four were still alive at the end of the study. The remaining 13 were assessed at 59 points until death (time range 4-68 weeks; 1-10 contacts per patient; assessment: self, 33; joint, 8; external, 18). VGA of the HOPE and POS data, including all 1,652 assessed item data, showed consistent trajectory profiles for 14 of 28 items: 10 were increasing (meaning symptom worsening) and comprised predominantly psychosocial issues and care dependency. Type of assessment partly interacted with time, however, not qualitatively so. Analysis of semi-structured interviews revealed delayed interactions with PC/hospice services and numerous neuropsychiatric problems not detected by HOPE and POS. CONCLUSIONS: Prospective self-assessment of GBM patients' PC issues is feasible. However, disease progression may necessitate further, external assessment. Modification of existing PC assessment tools is needed to detect GBM-specific issues.

Evaluating the impact of double dose vaccination on SARS-CoV-2 spread through optimal control analysis.

This paper presents a new nonlinear epidemic model for the spread of SARS-CoV-2 that incorporates the effect of double dose vaccination. The model is analyzed using qualitative, stability, and sensitivity analysis techniques to investigate the impact of vaccination on the spread of the virus. We derive the basic reproduction number and perform stability analysis of the disease-free and endemic equilibrium points. The model is also subjected to sensitivity analysis to identify the most influential model parameters affecting the disease dynamics. The values of the parameters are estimated with the help of the least square curve fitting tools. Finally, the model is simulated numerically to assess the effectiveness of various control strategies, including vaccination and quarantine, in reducing the spread of the virus. Optimal control techniques are employed to determine the optimal allocation of resources for implementing control measures. Our results suggest that increasing the vaccination coverage, adherence to quarantine measures, and resource allocation are effective strategies for controlling the epidemic. The study provides valuable insights into the dynamics of the pandemic and offers guidance for policymakers in formulating effective control measures.

Use of Machine Learning for Early Detection of Maternal Cardiovascular Conditions: Retrospective Study Using Electronic Health Record Data.

BACKGROUND: Cardiovascular conditions (eg, cardiac and coronary conditions, hypertensive disorders of pregnancy, and cardiomyopathies) were the leading cause of maternal mortality between 2017 and 2019. The United States has the highest maternal mortality rate of any high-income nation, disproportionately impacting those who identify as non-Hispanic Black or Hispanic. Novel clinical approaches to the detection and diagnosis of cardiovascular conditions are therefore imperative. Emerging research is demonstrating that machine learning (ML) is a promising tool for detecting patients at increased risk for hypertensive disorders during pregnancy. However, additional studies are required to determine how integrating ML and big data, such as electronic health records (EHRs), can improve the identification of obstetric patients at higher risk of cardiovascular conditions. OBJECTIVE: This study aimed to evaluate the capability and timing of a proprietary ML algorithm, Healthy Outcomes for all Pregnancy Experiences-Cardiovascular-Risk Assessment Technology (HOPE-CAT), to detect maternal-related cardiovascular conditions and outcomes. METHODS: Retrospective data from the EHRs of a large health care system were investigated by HOPE-CAT in a virtual server environment. Deidentification of EHR data and standardization enabled HOPE-CAT to analyze data without pre-existing biases. The ML algorithm assessed risk factors selected by clinical experts in cardio-obstetrics, and the algorithm was iteratively trained using relevant literature and current standards of risk identification. After refinement of the algorithm's learned risk factors, risk profiles were generated for every patient including a designation of standard versus high risk. The profiles were individually paired with clinical outcomes pertaining to cardiovascular pregnancy conditions and complications, wherein a delta was calculated between the date of the risk profile and the actual diagnosis or intervention in the EHR. RESULTS: In total, 604 pregnancies resulting in birth had records or diagnoses that could be compared against the risk profile; the majority of patients identified as Black (n=482, 79.8%) and aged between 21 and 34 years (n=509, 84.4%). Preeclampsia (n=547, 90.6%) was the most common condition, followed by thromboembolism (n=16, 2.7%) and acute kidney disease or failure (n=13, 2.2%). The average delta was 56.8 (SD 69.7) days between the identification of risk factors by HOPE-CAT and the first date of diagnosis or intervention of a related condition reported in the EHR. HOPE-CAT showed the strongest performance in early risk detection of myocardial infarction at a delta of 65.7 (SD 81.4) days. CONCLUSIONS: This study provides additional evidence to support ML in obstetrical patients to enhance the early detection of cardiovascular conditions during pregnancy. ML can synthesize multiday patient presentations to enhance provider decision-making and potentially reduce maternal health disparities.

Factors Associated With Short-Term Complications After Percutaneous Endoscopic Gastrostomy Tube Insertion: A Retrospective Cohort Study.

BACKGROUND: Percutaneous endoscopic gastrostomy (PEG) tube placement is generally safe but is associated with a range of complications. Minor complications include infections, granuloma formation, leakage, and blockages, while major complications encompass aspiration pneumonia, hemorrhage, and more serious conditions such as necrotizing fasciitis and colonic fistula. AIM: This study aimed to assess the rate of short-term complications within one month of endoscopic PEG insertion, focusing on their correlation with patient characteristics. METHODOLOGY: This retrospective cohort study analyzed data from patients who underwent PEG insertion between January 2020 and December 2022. It evaluated the incidence of complications in relation to variables such as the indication for the procedure, the patient's immune status, albumin and CRP levels, and the setting of the procedure (inpatient vs. outpatient). RESULTS: The study included 121 patients, with a mean age of 69.73 years, comprising 71 males (58.7%) and 50 females (41.3%). Neurological indications accounted for 64.5% of the cases. Notably, 67.8% of the patients were immunocompromised. Within 30 days of PEG insertion, 16.5% experienced complications, including GI bleeding (4.1%), infection at the PEG site (11.6%), and peritonitis (0.8%). Complications were significantly higher in immunocompromised patients and those with non-neurological indications. Higher serum albumin and lower CRP levels were associated with fewer complications, though the association was not statistically significant. CONCLUSION: The study highlights that gastrostomy site infection is the most common short-term complication following PEG insertion. Immune status and the reason for PEG insertion emerged as key factors influencing the likelihood of complications.

The Role of Advanced Magnetic Resonance Imaging Sequences in Multiple Sclerosis.

Background The neurological condition known as multiple sclerosis (MS) is crippling and has a complicated pathogenesis as well as a wide range of clinical symptoms, including fatigue, difficulty walking, numbness or tingling, muscle spasms and spasticity, weakness, vision problems, dizziness and vertigo, bladder and bowel dysfunction, cognitive impairment, and emotional changes. The complete scope of MS pathology cannot be fully captured by conventional magnetic resonance imaging (MRI) sequences, which has led to the investigation of sophisticated MRI methods for better diagnosis and treatment. Objective This study aims to evaluate the clinical relevance of advanced MRI sequences in multiple sclerosis. Methodology A retrospective cohort study was conducted across multiple specialized medical centers renowned for treating neurological disorders, particularly multiple sclerosis, and involved 310 patients with diverse geography seeking treatment throughout 2022. Records were searched to obtain patient information, demographics, and treatment history. Descriptive statistics and t-tests were among the statistical studies that investigated relationships between MRI biomarkers and clinical factors to help with the diagnosis and treatment of MS. A p-value of <0.05 was significant. Results The research group consisted of 310 MS patients, the majority of whom were female (67.42%) and had a mean age of 34.7 years. With hypertension (14.52%) and hyperlipidemia (19.35%) as prevalent comorbidities, the majority of patients (72.26%) were on disease-modifying treatments. The results of advanced MRI showed that lesions with white matter had higher mean diffusivity (1.25 ± 0.15 mm²/s) on DWI, lesions with reduced magnetization transfer ratio (MTR) (0.15 ± 0.03) on MTI, and lesions with reduced fractional anisotropy (FA) (0.40 ± 0.08) on diffusion tensor imaging (DTI). Additionally, the blood oxygen level-dependent (BOLD) signals in cognitive processing regions (0.75 ± 0.10) on functional MRI were different from those with normal-appearing white matter (0.40 ± 0.08). Conclusion Advanced MRI sequences are essential for bettering MS diagnosis, prognosis, and treatment because they link imaging biomarkers to important clinical parameters, which improves patient care and quality of life.

Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing Electronic Health Record Data: Machine Learning Study.

BACKGROUND: Health care data are fragmenting as patients seek care from diverse sources. Consequently, patient care is negatively impacted by disparate health records. Machine learning (ML) offers a disruptive force in its ability to inform and improve patient care and outcomes. However, the differences that exist in each individual's health records, combined with the lack of health data standards, in addition to systemic issues that render the data unreliable and that fail to create a single view of each patient, create challenges for ML. Although these problems exist throughout health care, they are especially prevalent within maternal health and exacerbate the maternal morbidity and mortality crisis in the United States. OBJECTIVE: This study aims to demonstrate that patient records extracted from the electronic health records (EHRs) of a large tertiary health care system can be made actionable for the goal of effectively using ML to identify maternal cardiovascular risk before evidence of diagnosis or intervention within the patient's record. Maternal patient records were extracted from the EHRs of a large tertiary health care system and made into patient-specific, complete data sets through a systematic method. METHODS: We outline the effort that was required to define the specifications of the computational systems, the data set, and access to relevant systems, while ensuring that data security, privacy laws, and policies were met. Data acquisition included the concatenation, anonymization, and normalization of health data across multiple EHRs in preparation for their use by a proprietary risk stratification algorithm designed to establish patient-specific baselines to identify and establish cardiovascular risk based on deviations from the patient's baselines to inform early interventions. RESULTS: Patient records can be made actionable for the goal of effectively using ML, specifically to identify cardiovascular risk in pregnant patients. CONCLUSIONS: Upon acquiring data, including their concatenation, anonymization, and normalization across multiple EHRs, the use of an ML-based tool can provide early identification of cardiovascular risk in pregnant patients.

Rare additional chromosomal abnormalities in acute promyelocytic leukaemia resulting in rapidly fatal disease: report of a case.

Background: Acute promyelocytic leukaemia results from reciprocal translocation between the long arms of chromosomes 15 and 17. This translocation leads to the formation of chimeric gene, which is both the diagnostic marker as well as the therapeutic target of the disease. Additional chromosomal abnormalities are randomly encountered either at diagnosis or during therapy. Here, we present a case of acute promyelocytic leukaemia that had a rare cytogenetic profile at diagnosis. Case presentation: Our patient was a 14-year-old boy, who presented with characteristic clinical and morphological features of acute promyelocytic leukaemia. Karyotypic analysis revealed trisomy of chromosome 8 with deletion of 9p in addition to t(15;17). The patient passed away within the first 8 h of presentation while receiving conventional chemotherapy and haemodynamic resuscitation. Conclusion: Our patient presented with a rare cytogenetic profile and rapidly progressive disease. According to our extensive literature search, this was the first case of acute promyelocytic leukaemia having pathognomonic t(15;17) along with trisomy 8 and 9q deletion.

Acute lymphoblastic leukemia with clonal evolution due to delay in chemotherapy: A report of a case.

Clonal evolution in acute leukemias is one of the most important factors that leads to therapeutic failure and disease relapse. Delay in therapeutic intervention is one of the reasons that leads toward clonal evolution. In this report, we present a case of acute lymphoblastic leukemia in which therapeutic delay resulted in clonal evolution that was detected by conventional karyotyping and was responsible for non-responsiveness of the disease to conventional chemotherapy. A 17-year-old boy presented with generalized body aches, rapidly progressive pallor and lethargy. Bone marrow analysis was consistent with the diagnosis of B-cell ALL. Karyotypic analysis revealed 46, XY male karyotype. The patient left the hospital due to financial reasons and after 40 days came back to the hospital. Repeated bone marrow analysis including cytogenetic studies revealed presence of three different clones of blast cells: one clone showed 46, XY with del(9p) and t (11;14), second clone showed 46, XY with del(7q) and del(9p), and the third clone showed 46, XY normal karyotype. The patient did not respond to chemotherapy and died within 1 week of induction chemotherapy (HyperCVAD-A). Timely diagnosis and institution of chemotherapy in acute leukemias patients is the key to prevent clonal evolution and thus resistance of the disease to therapeutic interventions.

Acute motor-sensory axonal polyneuropathy variant of Guillain-Barre syndrome complicating the recovery phase of coronavirus disease 2019 infection: a case report.

INTRODUCTION: The novel coronavirus, since its first identification in China, in December 2019, has shown remarkable heterogeneity in its clinical behavior. It has affected humans on every continent. Clinically, it has affected every organ system. The outcome has also been variable, with most of the older patients showing grave outcomes as compared with the younger individuals. Here we present a rare and severe variant of Guillain-Barre syndrome that complicated the disease in recovery phase. CASE PRESENTATION: A 60-year-old Afghan man, who had been recovering from symptoms related to novel coronavirus associated disease, presented with sudden onset of progressive muscle weakness and oxygen desaturation. Electrophysiological workup confirmed the diagnosis of Guillain-Barre syndrome, and early institution of intravenous immunoglobulin resulted in complete resolution. CONCLUSION: Guillain-Barre syndrome has recently been reported in many patients diagnosed with novel coronavirus associated disease. While clinical suspicion is mandatory to guide towards an effective diagnostic workup, early diagnosis of this complication and timely institution of therapeutic interventions are indispensable and lifesaving.

Philadelphia chromosome positive chronic myeloid leukemia with 5q deletion at diagnosis.

BACKGROUND: Although, molecular genetic analyses became more and more important to guide therapy decisions in leukemia, banding cytogenetic analysis has retained its vital role in diagnosis and monitoring of chronic myeloid leukemia (CML), by quick and easy enabling identification of pathognomonic Philadelphia chromosome (Ph). CASE PRESENTATION: A 45 year old female presented with characteristic hematological features of CML in chronic phase; cytogenetic studies revealed the presence of the typical Ph and a deletion of almost entire long arm of a chromosome 5. CONCLUSION: 5q deletions have rarely been reported in CML. Those seen yet were either associated with tyrosine kinase inhibitor therapy or detected post allogeneic stem cell transplantation. To our knowledge, this is the first case of Ph positive CML accompanied by a 5q deletion.

Toxicity effects of Kano central abattoir effluent on Clarias gariepinus juveniles.

The contamination of water from rivers or land by effluent of abattoir could cause a pronounced health and environmental hazard. The present study was aimed at determining the acute effects abattoir effluents on Clarias gariepinus juveniles. It involved the determination of physicochemical parameters of the water and the hematological parameters of Clarias gariepinus juveniles. In addition, histopathological features of gills, kidney and liver were assessed. From the study, it was observed that abattoir effluent does not cause a significant change in temperature of the water but reduction in pH and DO values across the groups. Thus, it has induced a remarkable effects on the hematological parameters by causing a significant elevation in MCV, PLT and MCH and reduction in WBC count, RBC count, HGB, LYM and MPV (p < 0.05) than the control. These have led to pronounced changes in the pathologies of gills and liver which include degenerative changes in the oedema and secondary lamellae, cytoplasmic vacuolation of the hepatic tissue respectively. However, the renal tissues were unaffected. It is therefore be concluded that, abbatoir effluent posses some toxicological properties which have been observed in blood, gills and liver tissues of Clarias gariepinus juveniles. Government and other stakeholders should monitor and regulate discharge of the effluent into nearby water bodies.

Complex cytogenetic abnormalities in chronic myeloid leukemia resulting in early progression to blast crisis: a case report.

INTRODUCTION: BCR-ABL1, resulting from t(9;22), is the oncogenic driver of chronic myeloid leukemia and the therapeutic target of the disease. Molecular studies have been the gold standard modality for patient assessment since the advent of tyrosine kinase inhibitor therapy. In spite of that, there are cytogenetic abnormalities that can render the disease unresponsive to conventional therapy, thus making cytogenetics an important component of patient management guidelines. CASE PRESENTATION: We present a case of a Tajik, Afghan patient with chronic myeloid leukemia with del(6)(q23.3q27), t(9;22)(q34;q11.2), monosomy 11, monosomy 12, and marker chromosome who, despite having typical clinical and hematological disease with initial response to therapy, progressed to blast crisis very early and thus required special interventions. CONCLUSION: Cytogenetic monitoring is an important pillar in the management of patients with chronic myeloid leukemia that cannot be ignored. It should therefore be a part of patient management not only during diagnosis but also during management. We present an unusual cytogenetic abnormality in a patient with chronic myeloid leukemia that resulted in early disease progression.

Introducing medical students to prehospital care.

BACKGROUND: Studies show that prehospital care is an important, yet often neglected part of the medical undergraduate curriculum. Thus, the Prehospital Care Programme (PCP) was introduced at Barts and the London School of Medicine and Dentistry in 2008, aiming to expose medical undergraduates to this unique area of medicine. CONTEXT: The programme makes use of the links between the medical school and the London Ambulance Service (LAS) and the London Air Ambulance (LAA), and places students from Bachelor of Medicine and Bachelor of Surgery (MBBS) years 2-5 with mentors from these services during a series of working shifts. During shifts, students are assigned a set of learning objects and are instructed to complete a specially designed Student Report Form for each case that they observe. Students are recruited onto the programme at the end of MBBS year 1 through the submission of a CV and a written application. Shortlisted candidates are interviewed and those that are successful are invited to join the programme at the beginning of MBBS year 2. INNOVATION AND IMPLICATIONS: Interest in the programme has increased exponentially since it was introduced in 2008. It appeals to medical students who are enthusiastic about the field of Emergency Medicine and Prehospital Care, and offers them a unique opportunity to enhance their knowledge and experience. It also encourages students to develop generic skills, communication skills, interprofessionalism and record keeping. CONCLUSION: The PCP is a successful and immensely popular addition to the MBBS curriculum at Barts and the London School of Medicine and Dentistry. We hope to observe and continue to support similar replications at other medical schools.