Background Being a newly emerging disease, little is known about its long-lasting post-COVID-19 consequences. The aim of this work is to assess the frequency, patterns, and determinants of persistent post-COVID-19 symptoms and to evaluate the value of a proposed novel COVID-19 symptom score. Patients with confirmed COVID-19 in a hospital-based registry were included in a cross-sectional study (the hospitals including Assiut University Hospital, Assiut Chest Hospital, Aswan University Hospital, and Aswan Specialized Hospital). The patient demographics, comorbid disorders, the mean duration since the onset of the symptoms, history of hospital or ICU admittance, and the treatment taken during the acute state, as well as symptom score before and after convalescence, were recorded. Results The most frequent constitutional and neurological symptoms were myalgia (60.0%), arthralgia (57.2%), restriction of daily activities (57.0%), and sleeping troubles (50.9%), followed by anorexia (42.6%), chest pain (32.6%), gastritis (32.3%), cough (29.3%), and dyspnea (29.1%). The mean total score of acute stage symptoms was 31.0 ± 16.3 while post-COVID 19 symptom score was 13.1 ± 12.6 (P < 0.001). The main determinants of the persistent post-COVID-19 symptoms were the need for oxygen therapy (P < 0.001), pre-existing hypertension (P = 0.039), chronic pulmonary disorders (P = 0.012), and any chronic comorbidity (P = 0.004). There was a correlation between the symptom score during the acute attack and post-COVID-19 stage (P < 0.001, r = 0.67). The acute phase score had 83.5% sensitivity and 73.3% specificity for the cutoff point > 18 to predict occurrence of post-COVID-19 symptoms. Conclusions COVID-19 can present with a diverse spectrum of long-term post-COVID-19 symptoms. Increased acute phase symptom severity and COVID-19 symptom score > 18 together with the presence of any comorbid diseases increase the risk for persistent post-COVID-19 manifestations and severity.
BackgroundBeing a newly emerging disease little is known about its long-lasting post COVID-19 consequences. Aim of this work is to assess the frequency, patterns and determinants of persistent post COVID-19 symptoms and to evaluate the value of a proposed Novel COVID-19 symptoms score. Patients with confirmed COVID-19 in the registry were included in a cross sectional study. The patient demographics, comorbid disorders, the mean duration since the onset of the symptoms, history of hospital or ICU admittance, and treatment taken during acute state, as well as symptoms score before and after convalescence were recorded.ResultsThe most frequent constitutional and neurological symptoms were myalgia (60.0%), arthralgia (57.2%), restriction of daily activities (57.0%), sleeping troubles (50.9%), followed by anorexia (42.6%), chest pain (32.6%), gastritis (32.3%), cough (29.3%) and dyspnea (29.1%). The mean total score of acute stage symptoms was 31.0 ± 16.3 while post COVID 19 symptoms score was 13.1±12.6 (P<0.001). The main determinants of the persistent post COVID-19 symptoms were the need for oxygen therapy (P<0.001), pre-existing hypertension (P=0.039), chronic pulmonary disorders (P=0.012), and any chronic comorbidity (P=0.004). There was a correlation between the symptom score during the acute attack and post COVID-19 stage (P<0.001, r=0.67). The acute phase score had 83.5% sensitivity and 73.3% specificity for the cutoff point > 18 to predict occurrence of Post-COVID-19 symptoms.ConclusionsCOVID-19 can present with a diverse spectrum of long-term post COVID-19 symptoms. Increased acute phase symptom severity and COVID-19 symptom score > 18 together with the presence of any comorbid diseases increase the risk for persistent post COVID-19 manifestations and severity.
Objective: This study aimed to assess the role of serum midkine (MK) as a biomarker for early detection of diabetic nephropathy in children with type 1 diabetes mellitus (T1DM) before microalbuminuria emerges. Methods: A total of 120 children with T1DM, comprising 60 microalbuminuric patients (Group 1), 60 normoalbuminuric patients (Group 2), and 60 healthy participants as a control group (Group 3) were included. Detailed medical history, clinical examination, and laboratory assessment of high-sensitivity C-reactive protein (hs-CRP), hemoglobin A1c percentage (HbA1c%), lipid profile, urinary albumin to creatinine ratio (ACR), serum MK and estimated glomerular filtration rate based on serum creatinine were performed in all participants. Results: Both Group 1 and Group 2 had significantly higher serum MK compared to controls (p<0.001). Additionally, significantly higher MK concentrations were present in Group 1 compared with Group 2 (p<0.001). Receiver operating characteristic curve analysis revealed that the MK concentration cutoff value of 1512 pg/mL was able to predict microalbuminuria with a sensitivity of 96% and specificity of 92%. Stepwise regression analysis revealed that HbA1c%, hs-CRP, and ACR were independently related to MK levels (p<0.001 for each). Conclusion: The results of this study suggest that serum MK is a useful, novel, practical marker for the evaluation of renal involvement in children with T1DM, especially in normoalbuminuric children.
The disruption caused by the COVID-19 pandemic worldwide has resulted in numerous impacts on the environment and the climate. As a result of the Covid-19 pandemic; water bodies, the atmosphere and ecosystems are all affected, and have experienced significant positive and negative impacts. Human health during this pandemic is the primary concern to address. Environmental systems, including water, have perceived positive impacts as a result of the reduction of pollutant loading from input of vehicle emission, and industries. This result to also, reduction in coliform and biochemical oxygen demand in rivers and lakes. Moreover, positive impacts, including air quality improvement as a result of a reduction in the loading of particulate matter, nitrous oxide, and other gaseous pollutants. In this study, we will discuss the role of different environmental factors and conditions in COVID-19 transmission, and their effect on human health.
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