Zonulin is a protein that plays a role in the reversible regulation of epithelial permeability. As zonulin is released in large amounts into the intestinal lumen, it disrupts the integrity of the tight junctions and causes continuous migration of antigens to the submucosa. Consequently, it can trigger inflammatory processes and severe immune reactions. In severe cases, SARS-CoV-2 may have a major impact on the clinical manifestations of the disease by directly or indirectly affecting intestinal cells and triggering systemic inflammation. Therefore, our study aimed to investigate the role of one of the possible mediators, zonulin, in the severity of the COVID-19 infection. Thirty COVID-19 patients and 35 healthy controls were included in the study. Blood samples were taken from the patients on the 1st, 4th, and 8th days of hospitalization. Serum zonulin levels were determined by enzyme-linked immunosorbent assay (ELISA). Complete blood count (white blood cell [WBC], neutrophil, lymphocyte, and platelet), biochemical parameters (serum lactic acid dehydrogenase [LDH], erythrocyte sedimentation rate [ESR], C-reactive protein [CRP], D-dimer, ferritin, fibrinogen levels) were determined and chronic systemic disease states of the patients were assessed. Serum zonulin levels were notably higher in the healthy control group compared to the patient group (p=0.003). Although there was an increase in the zonulin values by time in hospitalization, this rising was not significant. Conversely, ESR and CRP levels were significantly higher in the patient group (p<0.001). There was no significant difference between the two groups regarding gender, age, and WBC counts. The serum zonulin levels of COVID-19 patients with the mild clinical course were lower than the healthy control group. Moreover, serum zonulin levels were not correlated with ESR, CRP, and other inflammation markers. Our results suggest that low serum zonulin levels in COVID-19 patients might represent a mild disease course.

The Medical Bulletin of Sisli Etfal Hospital

Obesity and infertility are health problems that are increasing in frequency. In this study, sexual dysfunction in obese infertile women was investigated. A total of 450 women who met the inclusion criteria were recruited for the study; 150 women who had obesity without infertility, 150 women who had obesity with infertility and 150 women with normal weight but without infertility, which was the control group. The mean age of the groups were 31.3 ± 3.9, 31.2 ± 3.8 and 31.1 ± 4.5, respectively. The participants were administered a sociodemographic data form, the Female Sexual Function Index (FSFI) and the Beck Depression Inventory following the measurement of body mass index (BMI). FSFI score below 26.55 was defined as sexual dysfunction. Our data were analysed using SPSS (Statistical Package for Social Sciences) 21.0 for Windows (SPSS Inc., Chicago, IL). FSFI scores were observed to be statistically significantly lower in the group of obese women with infertility than in the other two groups. In our study, sexual dysfunction was found to be statistically significantly higher in obese women with infertility compared to the control group. Therefore, healthcare professionals should evaluate infertility in obese women in terms of sexual dysfunction as well as infertility treatment.

Monocytes secrete pro-inflammatory and pro-oxidant cytokines as part of inflammatory reactions. High-density lipoproteins have anti-inflammatory and antioxidant effects. This study investigated the potential use of the monocyte-to-high-density lipoprotein ratio in the follow-up of major depressive disorder. The study group was composed of patients with newly diagnosed or preexisting major depressive disorder who applied to a psychiatric clinic and did not receive antidepressant treatment in the last 2 weeks. These patients were tested for the monocyte-to-high-density lipoprotein ratio in the psychiatric outpatient clinic both in the first interview and at their follow-up at 2 months. The control group, on the other hand, consisted of subjects who presented to the checkup clinic without any complaints. The study included a total of 98 individuals aged between 18 and 62 years, including 66 women and 32 men. The proportion of women in the study group was higher than that in the control group (P = .002). Patients in the study group had higher first high-density lipoprotein levels than healthy controls (P = .026). Beck’s Depression Inventory scores of the study group decreased significantly from the first to the second interview (P < .001). There was no significant correlation between the percentage of change in Beck’s Depression Inventory scores and the percentage of change in the monocyte-to-high-density lipoprotein ratio (P = .271). The high-density lipoprotein levels in healthy controls were not higher than those in the group with major depressive disorder; monocyte levels did not differ between the groups and the monocyte-to-high-density lipoprotein ratio was not superior to Beck’s Depression Inventory and could not be used in prognosis.

The method for predicting the risk of intubation in patients with coronavirus disease 2019 (COVID-19) is yet to be standardized. This study aimed to introduce a new disease prognosis scoring model that may predict the intubation risk based on the symptoms, signs, and laboratory tests of patients hospitalized with the diagnosis of COVID-19. This cross-sectional retrospective study analyzed the intubation status of 733 patients hospitalized with COVID-19 diagnosis between March and December 2020 at Ondokuz Mayıs University Faculty of Medicine, Turkey, based on 33 variables. Binary logistic regression analysis was used to select the variables that significantly affect intubation, which constitute the risk factors. The Chi-square Automatic Interaction Detection algorithm, one of the data mining methods, was used to determine the threshold values of the important variables for intubation classification. The following variables found were mostly associated with intubation: C-reactive protein, lactate dehydrogenase, neutrophil-to-lymphocyte ratio, age, lymphocyte count, and malignancy. The logistic function based on these variables correctly predicted 81.13% of intubated (sensitivity), 99.52% of nonintubated (specificity), and 96.86% of both intubated and nonintubated (accurate classification rate) patients. The scoring model revealed the following risk statuses for the intubated patients: very high risk, 75.47%; moderate risk, 20.75%; and very low risk, 3.77%. On the basis of certain variables measured at admission, the OTO-COVID-19 scoring model may help clinicians identify patients at the risk of intubation and subsequently provide a prompt and effective treatment at the earliest.