SARS-CoV-2 is the virus associated with the disease called COVID-19 and become a global pandemic. The only way to prevent its severe scenarios is through timely and rapid testing. In comparison to more time taking gold-standard RT-PCR testing, rapid diagnostic kits are used. For better prevention and diagnosis of SARS-CoV-2, the analysis of rapid diagnostic kits' accuracy and specificity is necessary. This study is meant to assess and examine the viability, responsiveness, and explicitness of quick antigen distinguishing nasopharyngeal swabs (NPS), and saliva-based units. The study was conducted on 200 suspected COVID-19 patients from Islamabad, 100 of which were RT-PCR positive while 100 were RT-PCR negative. For the analysis of Rapid diagnostic COVID-19 kits (RDT), nasopharyngeal swabs (NPS) and saliva samples were taken from the RT-PCR positive and negative patients. Among 100 RT-PCR positive patients, 62% were males (19 - 91 years), 34% were females (20 - 78 years) and 4% were children (6 - 17 years). False-negative results were significantly more observed in saliva-based RDTs of the sample (49%) as compared to nasopharyngeal swab RDT (38%). There were 2% invalid results in saliva-based RDT and 3% invalid results in Nasopharyngeal swab RDT. While among 100 RT-PCR negative patients 69% were males (19 - 80 yrs), 27% were females (18 - 77 yrs) and 4% were children (12 - 16 yrs.). False positive results were significantly more in saliva-based RDT (22%) as compared to Nasopharyngeal swab RDT (13%). The sensitivity and specificity of saliva-based RDT were 67% and 87% respectively while that of Nasopharyngeal swab (NPS) was 72% and 82% respectively, both of which were less than the gold standard RT-PCR sensitivity demanding the introduction of more sensitive RDT kits in Pakistan for accurate detection of COVID-19.

Hereditary spherocytosis is a common inherited type of hemolytic anemia that results from abnormal morphology of erythrocytes. It has a high occurrence in North Americans and northern Europeans with a prevalence of 1/2000. There is a wide range in age and symptoms at presentation with some individuals being asymptomatic and others having severe diseases requiring blood transfusions. Based on the severity of symptoms, management may vary from simple observation to frequent blood transfusions, cholecystectomy for gallstones, and splenectomy. Timely diagnosis may be critical to minimize complications. Diagnostic tests have been available with varying degrees of accuracy. However new diagnostic tests with greater specificity and sensitivity are now available for more accurate diagnosis of Hereditary Spherocytosis in individuals of all ages including newborns. Illustrative cases are presented that show the variability in presentation, symptoms, complications, and care. Information is presented updating diagnostic testing that allows earlier diagnosis of children with hereditary spherocytosis. Additionally, the hematologic findings suspicious and consistent for this diagnosis are presented, serving as a guide when testing should be initiated.

Coronavirus disease (COVID-19) is a viral pneumonia that is found in China and has spread globally. Early diagnosis is important for effective and timely treatment. Thus, many ongoing studies attempt to solve key COVID-19 problems such as workload classification, detection, and differentiation from other pneumonia and healthy lungs using different imaging modalities. Researchers have identified some limitations in the deployment of deep learning methods to detect COVID-19, but there are still unmet challenges to be addressed. The use of binary classifiers or building classifiers based on only a few classes is some of the limitations that most of the existing research on the COVID-19 classification problem suffers from. Additionally, most prior studies have focused on model or ensemble models that depend on a flat single-feature imaging modality without using any clinical information or benefiting from the hierarchical structure of pneumonia, which leads to clinical challenges, and evaluated their systems using a small public dataset. Additionally, reliance on diagnostic processes based on CT as the main imaging modality, ignoring chest X-rays. Radiologists, computer scientists, and physicians all need to come to an understanding of these interdisciplinary issues. This article first highlights the challenges of deep learning deployment for COVID-19 detection using a literature review and document analysis. Second, it provides six key recommendations that could assist future researchers in this field in improving the diagnostic process for COVID-19. However, there is a need for a collective effort from all of them to consider the provided recommendations to effectively solve these issues.

Although intussusception occurs in children and adults with celiac disease, it is a relatively uncommon symptom. Even more rare is the occurrence of intussusception as the presenting symptom of the disease. In the two cases we report here, transient intussusception, occurring at three years of age, was the first and only physical sign of celiac disease, and lead to a timely diagnosis by immunoserology and histology, followed by implementation of a gluten-free diet before sequelae such as significant anemia or Failure to Thrive (FTT) developed. In both cases, neither immunoserological nor physical signs of disease were present at the follow-up examination after 6 months on a gluten-free diet. In addition, genetic screening of the patients’ families revealed HLA-DQ2 positivity in two cases, leading to the additional diagnosis of celiac disease in the pregnant mother of one of the patients.

A 46-year-old lady was diagnosed clinically with X-linked hypophosphatemia (XLH) with a rare pathogenic variant detected using exome sequencing. Phosphate-regulating endopeptidase homologous X linked (PHEX) is normally expressed in osteoblasts and osteocytes, and senses phosphate regulation. More than 1000 PHEX variants have been detected to date, which are caused by missense, nonsense, and frameshift mutations in addition to splice variants and copy number changes. The aberration in the PHEX gene leads to the upregulation of fibroblastic growth factor 23 (FGF23), which leads to defects in phosphate metabolism. This results in impaired bone growth and mineralization, short and disproportionate stature, leg bowing, musculoskeletal pain, spontaneous dental abscesses, rickets, and osteomalacia in XLH patients. The spectrum of manifestations differs between pediatric and adult patients. In our case study, two of the patient’s children started showing symptoms at a younger age, unlike their mother. Timely diagnosis and the start of treatment would help in their better management and improved quality of life.

Background: Liver cancer is a global health concern, with overweight and obese individuals exhibiting an increased risk of its development. Understanding the interplay between obesity-related factors and liver cancer incidence is crucial for early prediction and intervention.Aim: The aim of this investigation was to construct and validate an extreme gradient boosting (XGBoost) based machine learning model for the purpose of establishing a one-year liver cancer risk prediction system specifically tailored to overweight and obese patients. In addition, this study sought to compare the predictive performance of the XGBoost model with those of a random forest model and a logistic regression model, while also identifying the most influential predictive features for liver cancer incidence.Methods: A comprehensive retrospective analysis was conducted on MIMIC III data comprising 2,354 patients. To predict the risk of liver cancer development, three machine learning models were developed: XGBoost, random forest, and logistic regression. Feature selection was executed using a stepwise regression procedure encompassing both forward selection and backward elimination.Results: The stepwise regression technique unveiled 14 predictive factors for liver cancer incidence. Among the patient cohort, 132 individuals developed liver cancer within a year of follow-up, while 2,222 did not. Notably, most liver cancer cases occurred in male patients (60%). Statistically significant differences were observed between patients with liver cancer and those without, in terms of age, gender, total bilirubin, platelet, albumin, chloride, potassium, sodium, prothrombin time (PT) and alanine aminotransferase (ALT). The XGBoost model exhibited an impressive area under the receiver operating characteristic curve (AUROC) of 99%, Random Forest (RF) of 99%, and Logistic Regression (LR) of 90%. In a multivariate analysis, total bilirubin, creatinine levels, age, gender, ALT, alkaline phosphate (ALP), PT, calcium, and chloride emerged as independent predictors for liver cancer incidence.Conclusion: The XGBoost model demonstrated superior predictive performance when compared to the RF and LR models. If corroborated through prospective studies, the XGBoost model may prove to be a valuable tool for the early prediction of liver cancer risk in overweight or obese individuals. Such predictive capabilities could, in turn, facilitate the implementation of timely preventive interventions against liver cancer.

The article presents materials that make it possible to understand the reason for the absence of one of the classic signs of inflammatory processes in patients with acute pneumonia. The peculiarities of the functional significance of the lungs for the body are the reason that in the case of inflammation in the tissues of the organ, nature has provided for the presence of a more important adaptive mechanism instead of pain as a signal sign. Understanding the causes of the absence of pain in pneumonia in the initial period, which is most responsible for timely and effective care for these patients, allows us to look at the pathogenesis of the disease from a new point of view, which is of fundamental importance for the correction and selection of pathogenetic means of care.

In this case report a 64-year-old male patient with recent past medical history of head injury complicated by zygomatic arc fracture and mild subarachnoid hemorrhage is studied. He had been presented to the Emergency Department because of progressive neurological symptoms and neurological deficits in the physical examination that could have been indicating subcacute subdural hemorrhage. However, the patient was reluctant to undergo diagnostic imaging due to concerns about radiation exposure. After several explanations, a CT scan was done, which revealed a bilateral subacute subdural hematoma. Neurosurgical management was initiated and intravenous corticosteroid therapy was administered to reduce local edema. The challenge of this case is based on the subtlety of symptoms that might cause patients to delay seeking medical attention. Additionally, patient reluctance to undergo diagnostic tests can complicate management, emphasizing the importance of patient education and therapeutic alliance. Multidisciplinary management involving Neurology and Neurosurgery is crucial for optimal patient care in such cases. This report underscores the significance of effective communication and collaborative decision-making between healthcare providers and patients to ensure timely and appropriate management of complex medical conditions.

Objective: This study aimed to evaluate the clinical characteristics and diagnostic challenges associated with osteomyelitis in patients presenting with persistent lumbar pain and fever.Methods: We conducted a descriptive observational study, reviewing four cases of osteomyelitis diagnosed at our hospital’s Emergency Department in 2022. Data on patient demographics, medical history, clinical presentation, diagnostic methods, and treatment outcomes were analyzed.Findings: The cases included middle-aged to elderly men, with predisposing factors such as urological interventions and immunodeficiency. Imaging studies, particularly CT-scan and MRI, were instrumental in diagnosing lumbar spondylodiscitis. Biopsies revealed lymphoplasmacytic infiltrates and treatment responses were positive in all cases after eight months of follow-up. The study highlights the importance of considering osteomyelitis in the differential diagnosis of lumbar pain and fever, necessitating multidisciplinary collaboration for timely management.