Objective To evaluate blood lipid profiles in patients with coronavirus disease 2019 (COVID-19), and to explore the association with disease severity. Methods This case–control study included patients with COVID-19, referred to two medical centers in Kermanshah, Iran (between July 2020 and December 2020), and healthy controls. Lipid profiles were evaluated in patients who were grouped according to severe (intensive care unit [ICU]), or less severe (outpatient), forms of COVID-19, and in healthy controls, and were compared among the three groups. Results A total of 132 participants were included, comprising ICU ( n = 49), outpatient ( n = 48) and control ( n = 35) groups. Mean cholesterol levels were lower in the patient groups than in controls; high-density lipoprotein cholesterol (HDL-C) levels were higher in the ICU group versus outpatients, and low-density lipoprotein cholesterol (LDL-C) levels were lower in the ICU group versus outpatients. The frequency of diabetes and hypertension was higher in the ICU group than in the outpatient group. Furthermore, LDL-C level was associated with disease severity (odds ratio 0.966, 95% confidence interval 0.944, 0.989). Conclusion Lipid profiles differ between severe and less severe forms of COVID-19. LDL-C level may be a useful indicator of COVID-19 severity.

Background The most common endocrine and metabolic disorders in premenopausal women is polycystic ovary syndrome (PCOS), characterized by hyperandrogenism, chronic anovulation, and/or ultrasound evidence of small ovarian cysts. Obesity and insulin resistance are also the main factors influencing the clinical manifestations of this syndrome. Alzheimer’s disease (AD) is the most typical progressive neurodegenerative disorder of the brain, and recent studies suggest a relationship between endocrinal dysregulation and neuronal loss during AD pathology. Aim This study aimed to evaluate the common risk factors for Alzheimer’s and PCOS based on previous studies. Knowing the common risk factors and eliminating them may prevent neurodegenerative Alzheimer’s disease in the future. Method In this narrative review, international databases, including Google Scholar, Scopus, PubMed, and the Web of Science, were searched to retrieve the relevant studies. The relevant studies’ summaries were categorized to discuss the possible pathways that may explain the association between Alzheimer’s and PCOS signs/symptoms and complications. Results According to our research, the factors involved in Alzheimer’s and PCOS disorders may share some common risk factors. In patients with PCOS, increased LH to FSH ratio, decreased vitamin D, insulin resistance, and obesity are some of the most important factors that may increase the risk of Alzheimer’s disease.

The most common endocrine disorder among women is Polycystic ovary syndrome (PCOS), characterized by hyperandrogenism, chronic ovulation, and/or ultrasound evidence of small ovarian cysts. Obesity and insulin resistance are also the main factors influencing the clinical manifestations of this syndrome. High intakes of fat have been linked to more significant cognitive decline in old age, and due to the growing elderly population, maintaining long-term optimal cognitive function is very important. Alzheimer's disease (AD) is the most typical progressive neurodegenerative disorder of the brain, and recent studies suggest a relationship between endocrinal dysregulation and neuronal loss during AD pathology. In this narrative review, the international databases, including Google Scholar, Scopus, PubMed, and Web of Science databases, were searched for retrieving the relevant studies. According to the factors involved in Alzheimer's and PCOS, it seems that both disorders may share some common risk factors. In this study, the relevant studies' summaries were categorized to discuss the possible pathways that may explain the association between Alzheimer's and PCOS signs/symptoms and complications. Future preclinical studies are needed to investigate the exact underlining mechanisms related to PCOS and Alzheimer's association.

Background Dyslipidemia has been reported in patients with virus infections. This study was performed to evaluate the blood lipid profile in the patients with coronavirus disease 2019 (COVID-19), and exploring the underlying factors in its development and their predictive value for the severity of COVID-19.Methods In a case-control study, the lipid profile of patients with COVID-19 at the first admitted to two clinical centers in the west of Iran (July 2020 to Dec. 2020) and age- and gender-matched healthy people were explored. Three groups of controls, patients with the severe form of Covid-19 (admitted to the intensive care unit (ICU)), patients with Covid-19 with less intensity (outpatient admission), were defined for the subjects included in the study. The predictive values of different variables obtained from medical records for COVID-19 severity were analyzed.Results Generally, 48 outpatients and 49 ICU patients, including 70 men and 23 women with a mean age of 62.4±13.5 years, were included in the study. The control group consisted of 32 people, match sex and age with the patient groups. The mean triglyceride (TG) in the Covid-19 groups was higher than the control group, but there was no significant difference between them. The mean cholesterol in the patient groups was lower than the control group (p=0.001). The mean of low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) was significantly different in the patient groups; HDL-C in the ICU group was more than outpatient, and LDL-C in the outpatient group was more than ICU (P<0.05). LDL-C and HDL-C in the ICU group were less than the control group, but there was no statistically significant difference between the two mentioned groups. The frequency of diabetes and hypertension was higher in the ICU group than in the outpatient group (P<0.001). Furthermore, LDL-C level was associated with disease severity (odds ratio (OR): 0.966, 95% confidence interval (CI): 0.944-0.989, P= 0.004).Conclusion Lipid profiles in Covid-19 patients have different faces from healthy individuals. In the severe form, the lipid status has a different profile from the less severe form of Covid-19 disease. LDL-C level can be used as an indicator to determine the severity of Covid-19 disease.

Background Dyslipidemia has been reported in patients with virus infections. This study was performed to evaluate the blood lipid profile in the patients with coronavirus disease 2019 (COVID-19), and exploring the underlying factors in its development and their predictive value for the severity of COVID-19.Methods In a case-control study, the lipid profile of patients with COVID-19 at the first admitted to two clinical centers in the west of Iran (July 2020 to Dec. 2020) and age- and gender-matched healthy people were explored. Three groups of controls, patients with the severe form of Covid-19 (admitted to the intensive care unit (ICU)), patients with Covid-19 with less intensity (outpatient admission), were defined for the subjects included in the study. The predictive values of different variables obtained from medical records for COVID-19 severity were analyzed.Results Generally, 48 outpatients and 49 ICU patients, including 70 men and 23 women with a mean age of 62.4±13.5 years, were included in the study. The control group consisted of 32 people, match sex and age with the patient groups. The mean triglyceride (TG) in the Covid-19 groups was higher than the control group, but there was no significant difference between them. The mean cholesterol in the patient groups was lower than the control group (p=0.001). The mean of low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) was significantly different in the patient groups; HDL-C in the ICU group was more than outpatient, and LDL-C in the outpatient group was more than ICU (P<0.05). LDL-C and HDL-C in the ICU group were less than the control group, but there was no statistically significant difference between the two mentioned groups. The frequency of diabetes and hypertension was higher in the ICU group than in the outpatient group (P<0.001). Furthermore, LDL-C level was associated with disease severity (odds ratio (OR): 0.966, 95% confidence interval (CI): 0.944-0.989, P= 0.004).Conclusion Lipid profiles in Covid-19 patients have different faces from healthy individuals. In the severe form, the lipid status has a different profile from the less severe form of Covid-19 disease. LDL-C level can be used as an indicator to determine the severity of Covid-19 disease.