Background The Coronavirus 2019 is a pandemic that has spread worldwide, threatening human health. The main cause of death in patients with COVID-19 is a systemic pro-inflammatory mechanism that quickly progresses to acute respiratory distress syndrome. Hematological ratios as affordable indicators of inflammatory response were studied in COVID-19 patients. The study aimed to study the importance of the blood cell indexes of the systemic inflammatory response, as the Aggregate Index of Systemic Inflammation (AISI), neutrophils lymphocyte to platelet ratio (NLPR), systemic immune-inflammation index (SII) and, systemic inflammation response index (SIRI) in predicting intensive care unit (ICU) admission of COVID-19 patients. Methods 495 COVID-19 patients managed in four tertiary centers; divided into non-ICU and ICU groups. Results Total leucocyte count (TLC), AISI, NLPR, SII, and SIRI were more elevated in the ICU group (P < 0.001 for all except AMC P = 0.006), while this group had less absolute lymphocyte count (ALC) (P = 0.047). We estimated the optimal cut-off values of the hematological ratio; AISI (729), NLPR (0.0195), SII (1346), and SIRI (2.5). SII had the highest specificity (95.6%), while NLPR had the highest sensitivity (61.3%). Age, AISI, CRP, D-dimer, and oxygen aid were the independent predictors for ICU admission in COVID-19 in multivariate logistic regression. Conclusion AISI is a predictor for severity and ICU admission in COVID-19 patients, SII is a predictor of survival, while NLPR and SIRI have an additive role that needs further evaluation.

The long-term impact of the COVID-19 infection on mental health in people and its relation to the severity is unclear. We aimed to study the long-term effect of post-COVID-19 disease on sleep and mental health and to detect possible relationship between severity of COVID-19 at onset and sleep and mental illness. We enrolled 182 participants 6 months post COVID-19 infection and grouped into non-severe(101),severe(60) and critical(20) according to according to WHO guidance. All participants were assessed using Pittsburgh Sleep Quality Index ", Post traumatic stress disorder (PTSD) Checklist for DSM-5, and Symptom Checklist90 test. Only 8.8% had no psychiatric symptoms while 91.2% had psychiatric symptoms as follow (poor sleep (64.8%), PTSD (28.6%), somatization (41.8%), obsessive-compulsive (OCD) (19.8%), depression (11.5%), anxiety (28%), phobic-anxiety (24.2%), psychoticism (17.6%)). Diabetes, oxygen support or mechanically ventilated were a risk for sleep impairment, while high Neutrophil/lymphocyte ratio (NLR) was the only risk factor for PTSD. Other psychiatric illnesses had several risk factors: being female, diabetes, oxygen support or mechanically ventilated. Abnormal sleep, somatization and anxiety are the most common mental illnesses in Post-Covid19. The critical group is common associated with PTSD, anxiety, and psychosis. Being female, diabetic, having oxygen support or mechanically ventilated, and high NLR level are more vulnerable for mental illness in post COVID19.

Introduction Coronaviruses belong to a large family that leads to respiratory infection of various severity. Hematological ratios are indicators of inflammatory response widely used in viral pneumonia with affordability in developing countries. Purpose Study the role of the neutrophil lymphocyte ratio (NLR), derived NLR ratio (d-NLR), platelet lymphocyte ratio (PLR), and lymphocyte monocyte ratio (LMR) in predicting the outcome of COVID-19 Egyptian patients. Methods A retrospective study on 496 COVID-19 Egyptian patients, managed in four tertiary centers, grouped into non-severe, severe, and critical. Patients’ laboratory assessment including total leucocyte count (TLC), absolute neutrophil count (ANC), absolute lymphocyte count (ALC), absolute monocyte count (AMC), NLR, d-NLR, LMR and, PLR were reported as well as C reactive protein (CRP), D-dimer and serum ferritin. Results TLC, ANC, AMC, NLR, d-NLR and, PLR were highest in the critical group ( p <0.001 for all except AMC p =0.033), while this group had the least ALC and LMR ( p =0.049 and <0.001, respectively). Higher CRP and d-dimer levels were reported in the critical group ( p <0.001). At the same time, higher ferritin was found in the severe group more than the critical and non-severe groups ( p <0.001, p =0.005, respectively). We calculated the optimal cut-off values of the hematological ratio; NLR (3.5), d-NLR (2.86), PLR (192), and LMR (3). D-NLR had the highest specificity (89.19%), while NLR had the highest sensitivity (71.38%). By univariate logistic regression, age, DM, HTN, cardiovascular diseases, COPD, NLR, d-NLR, LMR and PLR, CRP, steroid, oxygen aids, and mechanical ventilation were associated with the severity of COVID-19. Still, only age, NLR, CRP, and oxygen aid were independent predictors in multivariate logistic regression. Conclusion NLR is a predictor for severity in COVID-19. LMR, d-NLR, and PLR may assist in risk stratification.

Introduction: Despite global efforts to contain the illness, COVID-19 continues to have severe health, life, and economic repercussions; thus, maintaining vaccine development is mandatory. Different directions concerning COVID-19 vaccines have emerged as a result of the vaccine’s unpredictability. Aims: To study the determinants of the attitudes of healthcare workers (HCWs) to receiving or refusing to receive the vaccine. Methods: The current study adopted an interviewed questionnaire between June and August 2021. A total of 341 HCWs currently working at Assiut University hospitals offered to receive the vaccine were included. Results: Only half of the HCWs (42%) accepted the COVID-19 vaccine. The most common reason that motivated the HCWs was being more susceptible than others to infection (71.8%). On other hand, the common reasons for refusing included: previously contracted the virus (64.8%); did not have time (58.8%); warned by a doctor not to take it (53.8%). Nearly one-third of nonaccepting HCWs depended on television, the Internet, and friends who refused the vaccine for information (p < 0.05). In the final multivariate regression model, there were six significant predictors: sex, job category, chronic disease, being vaccinated for influenza, and using Assiut University hospital staff and the Ministry of Health as sources of information (p < 0.05). Conclusion: Misinformation and negative conceptions are still barriers against achieving the desired rate of vaccination, especially for vulnerable groups such as HCWs.

Cardiovascular complications in ST-segment–elevation myocardial infarction survivors remain substantial despite advances in the management of STEMI. We aimed to determine effect of AH on the area at risk (AAR), final infarct size (FIS), and salvage index (SI) in STEMI patients using cardiac magnetic resonance (CMR). 43 successfully reperfused STEMI patients were recruited. CMR was utilized to estimate AAR and FIS, SI was calculated: SI = AAR- FIS/AAR. AH showed significant positive correlations to FIS ( r -value = 0.538, P = < 0.001), and AAR ( r -value = 0.435, P = 0.002), and a negative correlation with SI ( r -value = −0.378, P = 0.006).