Objective To study the characteristics of headache attributed to COVID-19 infection and predictors of its severity. Methods A cross-sectional study involved 172 individuals who had headache due to COVID-19 infection. A detailed analysis of such headache was done through a face-to-face interview. Patients with any other form of secondary headache were excluded. Labs, including lymphocytic count, C-reactive protein, D-dimer and ferritin and chest imaging, were made available. Results: The majority of our patients had a diffuse headache (52.9%). It was pressing in 40.7%, with median intensity of 7 (assessed by visual analogue scale) and median frequency of 7 days/week. Patients with preexisting primary headache (52.9%) had significantly more frequent COVID-19 related headache than those without (47.1%) ( p = 0.001). Dehydrated patients (64.5%) had more frequent COVID-19 related headache than those who were not dehydrated (35.5%) ( p = 0.029). Patients with fever (69.8%) had significantly higher frequency and intensity of COVID-19 related headache compared to those without fever (30.2%) ( p = 0.003, 0.012). Patients with comorbidities (19.8%) had significantly higher frequency and intensity of headache than those without comorbidities (80.2%) ( p = 0.006, 0.003). After multiple linear regression, primary headache disorders, dehydration and comorbidities were considered predictors of frequency of COVID-19 related headache. Meanwhile, fever and dehydration were predictors of pain intensity. Conclusion Healthcare providers of COVID-19 patients need to be aware of frequency and intensity predictors of COVID-19 related headache: Primary headache disorders, fever, dehydration, and comorbidities.

Objectives Headache is considered one of the most frequent neurological manifestations of COVID-19. This work aimed to identify the relative frequency of COVID-19 related headache and to clarify the impact of clinical, laboratory findings of COVID-19 infection on headache occurrence and its response to analgesics. Design Cross-sectional study Setting Recovered COVID-19 patients Subjects 782 patients with a confirmed diagnosis of COVID-19 infection. Methods Clinical, laboratory and imaging data were obtained from the hospital medical records. Regarding patients who developed COVID-19 related headache, a trained neurologist performed an analysis of headache and its response to analgesics. Results The relative frequency of COVID-19 related headache among our sample was 55.1% with 95% CI (0.516–0.586) for the estimated population prevalence. Female gender, malignancy, primary headache, fever, dehydration, lower levels of hemoglobin and platelets and higher levels of neutrophil/lymphocyte ratio (NLR) and CRP were significantly associated with COVID-19 related headache. Multivariate analysis revealed that female gender, fever, dehydration, primary headache, high NLR, and decreased platelet count were independent predictors of headache occurrence. By evaluating headache response to analgesics, old age, diabetes, hypertension, primary headache, severe COVID-19, steroid intake, higher CRP and ferritin and lower hemoglobin levels were associated with poor response to analgesics. Multivariate analysis revealed that primary headache, steroids intake, moderate and severe COVID-19 were independent predictors of non-response to analgesics. Discussion Headache occurs in 55.1% of patients with COVID-19. Female gender, fever, dehydration, primary headache, high NLR, and decreased platelet count are considered independent predictors of COVID-19 related headache.

The COVID-19 pandemic continues to be a global health crisis. The gut microbiome critically affects the immune system and some respiratory infections are associated with changes in the gut microbiome, here we evaluated the role of nutritional and lifestyle habits that modulate gut microbiota on COVID-19 outcomes in a longitudinal cohort study that included 200 consecutive patients infected with COVID-19. Of these, 122 cases were mild and 78 were moderate, according to WHO classification. After detailed explanation by a consultant in clinical nutrition, participants responded to a written questionnaire on daily sugar, probiotic and prebiotic intake in food, sleeping hours, exercise duration, and antibiotic prescription, during the past one year before infection. daily consumption of prebiotic-containing foods, less sugar, regular exercise, adequate sleep, and fewer antibiotic prescriptions, led to a milder disease and rapid virus clearance. Additionally, data on these factors were compiled into a single score, the ESSAP score (Exercise, Sugar consumption, Sleeping hours, Antibiotics taken, and Probiotics and Prebiotics administration; 0–11 points), median ESSAP score was 5 for both mild and moderate cases; however, the range was 4–8 in mild cases but 1–6 in moderate (p = 0.001, OR:4.2, 95%CI:1.9-9.1), our results showed a negative correlation between regular consumption of yogurt containing probiotics and disease severity (p = 0.007, OR:1.6, 95%CI:1.1-2.1). Mild COVID-19 disease was associated with 10-20 minutes of daily exercise (p = 0.016), sleeping at least 8 hours daily prescribed antibiotics less than 5 times per year (p = 0.077), ate plenty of prebiotic-containing food.

Background:The novel coronavirus disease 2019 presents an urgent threat to global health. As the epidemic grows, prognosis prediction is essential for monitoring risky patient. It is thus important to consider gastrointestinal manifestations and the duration of symptoms as predictors of prognosis. Our aim was to determine the correlation of gastrointestinal symptoms and laboratory markers with disease outcomes and whether symptom duration varies substantially between patients. We also undertook this study to determine the optimal time to predict COVID-19 outcome. Patients and Methods: A total of 190 patients with polymerase chain reaction-confirmed COVID-19 were followed up until recovery. We proposed a correlation between gastrointestinal symptoms and disease severity (based on clinical data, and diagnostic investigations) to estimate the duration of symptoms as a predictor of COVID-19 prognosis. Results: The prevalence of gastrointestinal symptoms was 49.5%, consisting mainly of diarrhea in 27.9% of patients. In addition, a longer disease duration and higher temperature were observed in patients with diarrhea. Symptom duration was variable, with a median of 12 days and a range of 1-55 days. Statistical analysis indicated that patients with a duration of symptoms ≥12 day had more severe symptoms and a worse prognosis. Patients who complained of diarrhea had 2.7 times the odds of a longer duration of symptoms, and those with a history of chronic lung disease have 7.2 times the odds of a longer duration of symptoms. Conclusion: GIT manifestations (mainly diarrhea) and the duration of symptoms of COVID-19 provide prognostic evidence of COVID-19 outcomes, irrespective of earlier categorization by the World Health Organization. Thus, patients with mild symptoms who present with diarrhea and a duration of symptoms longer than 12 days are expected to have a worse prognosis.

Background: The COVID-19 pandemic has reached over 276 million people globally with 5.3 million deaths as of 22nd December 2021. COVID-19-associated acute and long-term neurological manifestations are well recognized. The exact profile and the timing of neurological events in relation to the onset of infection are worth exploring. The aim of the current body of work was to determine the frequency, pattern, and temporal profile of neurological manifestations in a cohort of Egyptian patients with confirmed COVID-19 infection. Methods: This was a prospective study conducted on 582 hospitalized COVID-19 patients within the first two weeks of the diagnosis of COVID-19 to detect any specific or non-specific neurological events. Results: The patients’ mean (SD) age was 46.74 (17.26) years, and 340 (58.42%) patients were females. The most commonly encountered COVID-19 symptoms were fever (90.72%), cough (82.99%), and fatigue (76.98%). Neurological events (NE) detected in 283 patients (48.63%) and were significantly associated with a severe COVID-19 at the onset (OR: 3.13; 95% CI: 2.18–4.51; p < 0.0001) and with a higher mortality (OR: 2.56; 95% CI: 1.48–5.46; p = 0.019). The most frequently reported NEs were headaches (n = 167) and myalgias (n = 126). Neurological syndromes included stroke (n = 14), encephalitis (n = 12), encephalopathy (n = 11), transverse myelitis (n = 6) and Guillain-Barré syndrome (n = 4). Conclusions: Neurological involvement is common (48.63%) in COVID-19 patients within the first two weeks of the illness. This includes neurological symptoms such as anosmia, headaches, as well as a constellation of neurological syndromes such as stroke, encephalitis, transverse myelitis, and Guillain-Barré syndrome. Severity of acute COVID-19 illness and older age are the main risk factors.