Background To identify the prevalence and also the full spectrum of symptoms/complaints of children and adolescents who are suffering from long COVID. Furthermore, we investigated the risk factors of long COVID in children and adolescents. Methods All consecutive children and adolescents who were referred to the hospitals anywhere in Fars province, Iran, from 19 February 2020 until 20 November 2020 were included. All patients had a confirmed diagnosis of COVID-19. In a phone call to patients/parents, at least 3 months after their discharge from the hospital, we obtained their current status and information if their parents agreed to participate. Results In total, 58 children and adolescents fulfilled the inclusion criteria. Twenty-six (44•8%) children/adolescents reported symptoms/complaints of long COVID. These symptoms included fatigue in 12 (21%), shortness of breath in 7 (12%), exercise intolerance in 7 (12%), weakness in 6 (10%), and walking intolerance in 5 (9%) individuals. Older age, muscle pain on admission, and intensive care unit admission were significantly associated with long COVID. Conclusions Long COVID is a frequent condition in children and adolescents. The scientific community should investigate and explore the pathophysiology of long COVID to ensure that these patients receive appropriate treatments for their condition.

We investigated the frequency of brain fog in a large cohort of patients with documented coronavirus disease-2019 (COVID-19) who have survived the illness. We also scrutinized the potential risk factors associated with the development of brain fog. Adult patients (18-55 years of age), who were referred to the healthcare facilities anywhere in Fars province from February 19, 2020 to November 20, 2020 were included. All patients had a confirmed COVID-19 diagnosis. In a phone call, at least 3 months after their discharge from the hospital, we obtained their current information. A questionnaire was specifically designed for data collection. In total, 2696 patients had the inclusion criteria; 1680 (62.3%) people reported long COVID syndrome (LCS). LCS-associated brain fog was reported by 194 (7.2%) patients. Female sex (odds ratio [OR]: 1.4), respiratory problems at the onset (OR: 1.9), and intensive care unit (ICU) admission (OR: 1.7) were significantly associated with reporting chronic post-COVID "brain fog" by the patients.In this large population-based study, we report that chronic post-COVID "brain fog" has significant associations with sex (female), respiratory symptoms at the onset, and the severity of the illness (ICU admission).

Background: In March 2020, the WHO declared the novel coronavirus (COVID-19) outbreak a global pandemic. Although the number of infected cases is increasing, information about its clinical characteristics in the Middle East, especially in Iran, a country which is considered to be one of the most important focal points of the disease in the world, is lacking. To date, there is no available literature on the clinical data on COVID-19 patients in Iran. Methods: In this multicenter retrospective study, 113 hospitalized confirmed cases of COVID-19 admitted to university affiliated hospitals in Shiraz, Iran from February 20 to March 20 were entered in the study. Results: The mean age was 53.75 years and 71 (62.8%) were males. The most common symptoms at onset were fatigue (75: 66.4%), cough (73: 64.6%), and fever (67: 59.3%). Laboratory data revealed significant correlation between lymphocyte count (P value = 0.003), partial thromboplastin time (P value = 0.000), international normalized ratio (P value = 0.000) with the severity of the disease. The most common abnormality in chest CT scans was ground-glass opacity (77: 93.9%), followed by consolidation (48: 58.5%). Our results revealed an overall 8% (9 out of 113 cases) mortality rate among patients, in which the majority was among patients admitted to the ICU (5: 55.6%). Conclusion: Evaluating the clinical data of COVID-19 patients and finding the source of infection and studying the behavior of the disease is crucial for understanding the pandemic.

Background In March 2020, WHO has declared pandemic on COVID-19. Although the number of infected cases is increasing, information about its clinical characteristics in the Middle East especially in Iran, a country which is considered as one of the most important foci of the disease in the world is lacking. Till date, there is no available literature on the clinical data on COVID-19 patients in Iran. Method and Material: In this multicenter retrospectively registered study, 113 hospitalized confirmed cases of COVID-19 admitted in university affiliated hospitals in Shiraz, Iran in from February 20 to March 20 were enrolled. Results The median age was 53 years and 71 (62.8%) were males. The most common symptoms at onset were fatigue (75: 66.4%), cough (73: 64.6%), and fever (67: 59.3%). Laboratory data revealed significant correlation between lymphocyte count, partial thromboplastin time, international normalized ratio with the severity of the disease (P value = 0.003, 0.000, 0.000, respectively). The most common abnormality in chest CT scan was ground-glass opacity (77: 93.9%), followed by consolidation (48: 58.5%). Our results revealed an overall 8% (9 out of 113 cases) mortality rate among the patients, in which the majority was among the ICU admitted patients (5: 55.6%). Also, 68 (60.2%) of our patients achieved total recovery and 7 (6.2%) were discharged with follow-up and home isolation. Conclusion In this multi-center study which included 113 hospitalized patients with diagnosis of COVID-19, 9.7% of cases were transferred to ICU and mortality rate was 8%. Furthermore, finding the source of infection and studying the behavior of COVID-19 is crucial for understanding the pandemic.

Background: In late December 2019, a viral pneumonia known as coronavirus disease 2019 (COVID-19) originated from China and spread very rapidly in the world. Since then, COVID-19 has become a global concern and health problem. Methods: We present four patients in this study, selected from among patients who presented with pneumonia symptoms and were suspicious for COVID-19. They were referred to the intended centers for COVID-19 diagnosis and management of Shiraz University of Medical Sciences in southern Iran. Two nasopharyngeal and oropharyngeal throat swab samples were collected from each patient and tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using real-time reverse-transcriptase– polymerase-chain-reaction (RT-PCR). The samples were also tested for influenza viruses and the complete respiratory panel. Results: In the present report, four patients were diagnosed in the starting days of COVID-19 disease in our center in southern Iran with co-infection of SARS-CoV-2 and influenza A virus. Conclusion: This co-infection of COVID-19 and influenza A highlights the importance of considering SARS-CoV-2 PCR assay regardless of other positive findings for other pathogens in the primary test during the epidemic.

Objective The purpose of the current study was to collect the data on the occurrence of seizures in patients with COVID-19 and to clarify the circumstances of the occurrence of seizures in these patients. Methods All consecutive patients who referred to healthcare facilities anywhere in Fars province (located in South Iran with a population of 4.851 million people) from February 19 until June 2, 2020, and had confirmed COVID-19 by positive result on polymerase chain reaction testing and seizure were included. Results During the study period, 6,147 people had confirmed COVID-19 in Fars province, Iran; 110 people died from the illness (case fatality rate 1.79%). During this time period, five people had seizures (seizure rate 0.08%). In four patients, seizure was one of the presenting manifestations, and in one person, it happened during the course of hospital admission. Two patients had status epilepticus. All patients experienced hypoxemia and four of them needed respirator. Two patients had related metabolic derangements and one had cerebrospinal fluid (CSF) lymphocytic pleocytosis. Brain imaging was abnormal in three patients. Four patients died. Conclusion New-onset seizures in critically ill patients with COVID-19 should be considered as acute symptomatic seizures and the treating physician should try to determine the etiology of the seizure and manage the cause immediately and appropriately. Detailed clinical, neurological, imaging, and electrophysiological investigations and attempts to isolate SARS-CoV-2 from CSF may clarify the role played by this virus in causing seizures in these patients.

In vivo NMR spectroscopy is known as magnetic resonance spectroscopy (MRS). MRS has been applied as both a research and a clinical tool in order to detect visible or nonvisible abnormalities. The adaptability of MRS allows a technique that can probe a wide variety of metabolic uses across different tissues. Although MRS is mostly applied for brain tissue, it can be used for detection, localization, staging, tumour aggressiveness evaluation, and tumour response assessment of breast, prostate, hepatic, and other cancers. In this article, the medical applications of MRS in the brain, including tumours, neural and psychiatric disorder studies, breast, prostate, hepatic, gastrointestinal, and genitourinary investigations have been reviewed. R ESUM E La spectroscopie RMN in vivo est appel ee spectroscopie par r esonance magn etique (SRM) en clinique. La SRM a et e utilis ee autant comme outil de recherche que comme outil clinique pour la d etection des anomalies visibles ou non. L'adaptabilit e de la SRM en fait une technique qui peut examiner une grande vari et e d'utilisations m etaboliques dans diff erents tissus. Bien que la SRM soit principalement utilis ee pour les tissus c er ebraux, elle peutêtre utilis ee pour la d etection, la localisation, la d etermination du stade, l' evaluation du caract ere agressif d'une tumeur et l' evaluation de la r eponse tumorale dans le cancer du sein, de la prostate, du foie et d'autres organes. Cette etude, apr es un bref examen des fondements de la SRM, passe en revue les applications m edicales de la SRM dans le cerveau, incluant les tumeurs, les applications m edicales de la SRM, incluant les cancers et l' etude des troubles neurologiques et psychiatriques, ainsi que les examens du sein, de la prostate, du foie et des syst emes gastro-intestinal et g enito-urinaire.

BackgroundPopulation based studies on prevalence and risk factors of NAFLD in Iranian population are few. The prevalence of NAFLD and non alcoholic steatohepatitis (NASH) in Iranians varies from 2.9% to 7.1% in general population and 55.8% in patients with type 2 diabetes mellitus.ObjectivesTo determine the prevalence and determinants of non alcoholic fatty liver disease (NAFLD) in a sample of adult Iranian general population.Patients and MethodsThis was a cross-sectional study being performed in Shiraz, southern Iran during a 10-month period from November 2010 to September 2011 through cluster random sampling of Iranian general population in Shiraz region. All individuals undergone anthropometric, blood pressure measurements, thorough medical history and physical examinations. Laboratory measurements included fasting blood glucose (FBS), lipid profile, complete blood count (CBC) and liver function tests. NAFLD was diagnosed by transabdominal ultrasonography.Results819 subjects were included in this study among which were 340 males (41.5%) and 479 females (58.5%) with the mean age of 43.1 ± 14.1 years. NAFLD was diagnosed in 176 (21.5%) subjects. Patients with NAFLD were significantly older (P < 0.001), had higher proportion of male gender (P = 0.004) and had higher BMI (P < 0.001). They also had higher prevalence of hypertension (P < 0.001), high FBS (P < 0.001), high cholesterol (P = 0.026), high triglyceride (P < 0.001) and high waist circumference (P < 0.001). Taking all these together, patients with NAFLD had significantly higher prevalence of metabolic syndrome when compared to healthy subjects (P < 0.001).ConclusionThe prevalence of NAFLD in this group of Iranian adult general population is 21.5%. NAFLD in Iranian population is associated with male gender, old age, obesity, and features of metabolic syndrome.