Clinical and laboratory characteristics of patients hospitalised with COVID-19: clinical outcomes in Abu Dhabi, United Arab Emirates.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first reported in December 2019. The severity of coronavirus disease 2019 (COVID-19) ranges from asymptomatic to severe and potentially fatal. We aimed to describe the clinical and laboratory features and outcomes of hospitalised patients with COVID-19 within the Abu Dhabi Healthcare Services Facilities (SEHA). METHODS: Our retrospective analysis of patient data collected from electronic health records (EHRs) available from the SEHA health information system included all patients admitted from 1 March to 31 May 2020 with a laboratory-confirmed PCR diagnosis of SARS-CoV-2 infection. Data of clinical features, co-morbidities, laboratory markers, length of hospital stay, treatment received and mortality were analysed according to severe versus non-severe disease. RESULTS: The study included 9390 patients. Patients were divided into severe and non-severe groups. Seven hundred twenty-one (7.68%) patients required intensive care, whereas the remaining patients (92.32%) had mild or moderate disease. The mean patient age of our cohort (41.8 years) was lower than the global average. Our population had male predominance, and it included various nationalities. The major co-morbidities were hypertension, diabetes mellitus and chronic kidney disease. Laboratory tests revealed significant differences in lactate dehydrogenase, ferritin, C-reactive protein, interleukin-6 and creatinine levels and the neutrophil count between the severe and non-severe groups. The most common anti-viral therapy was the combination of Hydroxychloroquine and Favipiravir. The overall in-hospital mortality rate was 1.63%, although the rate was 19.56% in the severe group. The mortality rate was higher in adults younger than 30 years than in those older than 60 years (2.3% vs. 0.95%). CONCLUSIONS: Our analysis suggested that Abu Dhabi had lower COVID-19 morbidity and mortalities rates were less than the reported rates then in China, Italy and the US. The affected population was relatively young, and it had an international representation. Globally, Abu Dhabi had one of the highest testing rates in relation to the population volume. We believe the early identification of patients and their younger age resulted in more favourable outcomes.

An expert rule-based approach for identifying infantile-onset Pompe disease patients using retrospective electronic health records.

Pompe disease (OMIM #232300), a rare genetic disorder, leads to glycogen buildup in the body due to an enzyme deficiency, particularly harming the heart and muscles. Infantile-onset Pompe disease (IOPD) requires urgent treatment to prevent mortality, but the unavailability of these methods often delays diagnosis. Our study aims to streamline IOPD diagnosis in the UAE using electronic health records (EHRs) for faster, more accurate detection and timely treatment initiation. This study utilized electronic health records from the Abu Dhabi Healthcare Company (SEHA) healthcare network in the UAE to develop an expert rule-based screening approach operationalized through a dashboard. The study encompassed six diagnosed IOPD patients and screened 93,365 subjects. Expert rules were formulated to identify potential high-risk IOPD patients based on their age, particular symptoms, and creatine kinase levels. The proposed approach was evaluated using accuracy, sensitivity, and specificity. The proposed approach accurately identified five true positives, one false negative, and four false positive IOPD cases. The false negative case involved a patient with both Pompe disease and congenital heart disease. The focus on CHD led to the overlooking of Pompe disease, exacerbated by no measurement of creatine kinase. The false positive cases were diagnosed with Mitochondrial DNA depletion syndrome 12-A (SLC25A4 gene), Immunodeficiency-71 (ARPC1B mutation), Niemann-Pick disease type C (NPC1 gene mutation leading to frameshift), and Group B Streptococcus meningitis. The proposed approach of integrating expert rules with a dashboard facilitated efficient data visualization and automated patient screening, which aids in the early detection of Pompe disease. Future studies are encouraged to investigate the application of machine learning methodologies to enhance further the precision and efficiency of identifying patients with IOPD.

Clinical characteristics of patients with mpox infection in the United Arab Emirates: a prospective cohort study.

OBJECTIVES: The study aims to explore the risk factors, clinical characteristics, and outcomes of mpox infection in Abu Dhabi, United Arab Emirates (UAE). METHODS: A prospective cohort study was conducted at two communicable disease centers in Abu Dhabi, UAE and patients admitted with confirmed mpox infections between May 01, 2022 and December 31, 2022 were included in our study. RESULTS: A total of 176 mpox patients were admitted, of which 93% (n = 164) were men and mean age was 30.4 ± 7 years. Individuals presented with mucocutaneous lesions, most commonly on the genital and anal regions (n = 157; 89%). Only 70 (39.8%) gave a history of sexual exposure. The most common systemic symptoms reported were fever (n = 91; 52%), exanthema (n = 92; 52%), and inguinal lymphadenopathy (n = 60; 34%). Median timeframe from systemic symptoms to appearance of lesions was 4 days (interquartile range 4-6 days). Complications were observed in seven (4%) participants; two (1.1%) individuals developed conjunctivitis, four (2.3%) patients developed penile edema, and one (0.6%) case of myocarditis was reported. In 60% (n = 106) of patients, a potential source of sexual exposure was not identified. CONCLUSION: The clinical characteristics of mpox cases in the UAE are similar to those in other countries. However, cultural and religious factors likely prevent patient disclosure of sexual exposure and symptoms, contributing to the limited information about the disease in the Middle East.

Clinical prediction system of complications among patients with COVID-19: A development and validation retrospective multicentre study during first wave of the pandemic.

Clinical evidence suggests that some patients diagnosed with coronavirus disease 2019 (COVID-19) experience a variety of complications associated with significant morbidity, especially in severe cases during the initial spread of the pandemic. To support early interventions, we propose a machine learning system that predicts the risk of developing multiple complications. We processed data collected from 3,352 patient encounters admitted to 18 facilities between April 1 and April 30, 2020, in Abu Dhabi (AD), United Arab Emirates. Using data collected during the first 24 h of admission, we trained machine learning models to predict the risk of developing any of three complications after 24 h of admission. The complications include Secondary Bacterial Infection (SBI), Acute Kidney Injury (AKI), and Acute Respiratory Distress Syndrome (ARDS). The hospitals were grouped based on geographical proximity to assess the proposed system's learning generalizability, AD Middle region and AD Western & Eastern regions, A and B, respectively. The overall system includes a data filtering criterion, hyperparameter tuning, and model selection. In test set A, consisting of 587 patient encounters (mean age: 45.5), the system achieved a good area under the receiver operating curve (AUROC) for the prediction of SBI (0.902 AUROC), AKI (0.906 AUROC), and ARDS (0.854 AUROC). Similarly, in test set B, consisting of 225 patient encounters (mean age: 42.7), the system performed well for the prediction of SBI (0.859 AUROC), AKI (0.891 AUROC), and ARDS (0.827 AUROC). The performance results and feature importance analysis highlight the system's generalizability and interpretability. The findings illustrate how machine learning models can achieve a strong performance even when using a limited set of routine input variables. Since our proposed system is data-driven, we believe it can be easily repurposed for different outcomes considering the changes in COVID-19 variants over time.

Protein C Deficiency Caused by a Novel Mutation in the PROC Gene in an Infant with Delayed Onset Purpura Fulminans.

Protein C is an anticoagulant that is encoded by the PROC gene. Protein C deficiency (PCD) is inherited in an autosomal dominant or recessive pattern. Autosomal dominant PCD is caused by monoallelic mutations in PROC and often presents with venous thromboembolism. On the other hand, biallelic PROC mutations lead to autosomal recessive PCD which is a more severe disease that typically presents in neonates as purpura fulminans. In this report, we describe an 8-month-old infant with autosomal recessive PCD who presented with multiple lumps on his lower extremities at the age of 2 months and later developed purpura fulminans after obtaining a muscle biopsy from the thigh at the age of 5 months. Protein C level was less than 10% and PROC gene sequencing identified a novel homozygous missense mutation, c.1198G>A (p.Gly400Ser). Autosomal recessive PCD typically presents with neonatal purpura fulminans which is often fatal if not recognized and treated early. Therefore, early recognition is critical in preventing morbidity and mortality associated with autosomal recessive PCD.

Hyponatraemia and neurological complications in children admitted with bronchiolitis.

BACKGROUND: Hyponatraemia occurs during bronchiolitis, sometimes with neurological manifestations. The prevalence of the latter differs widely and little is known about the time of occurrence and associated factors. This study was undertaken to investigate these complications. METHODS: This was a retrospective observational chart review of a cohort of 233 infants under 2 years of age admitted with bronchiolitis to a teaching hospital in the United Arab Emirates. RESULTS: Hyponatraemia (serum sodium <135 mmol/L) occurred in 105 infants (45%, 95% CI 38-51). Hyponatraemia was present on admission in 84 infants (80%) with 90% of cases occurring within 6 days of the onset of illness. It was mild (130-135) in 100 infants (95%) and severe (<130) in five (5%). It was not significantly associated with age, duration of illness before admission, viral aetiology, white cell count or serum C-reactive protein concentrations, or the volume of administered intravenous fluid or use of 0.18% sodium chloride (NaCl). Neurological manifestations occurred in a 29-day-old child with a serum sodium level of 123 mmol/L while receiving two-thirds intravenous maintenance fluids (0.18% NaCl). His developmental milestones remained normal on follow-up to the age of 5 years. CONCLUSION: Hyponatraemia is common in infants with bronchiolitis and occurs in the majority within 6 days of onset of symptoms. There was a significant association between the presence of fever (>38°C) on admission and the duration of hospitalisation.