Distribution of Intestinal Parasites in Patients Admitted to University Hospital: Four Year Retrospective Review

Objective

In this study, it was aimed to examine the distribution of intestinal parasites detected in people who applied to the parasitology laboratory of Fırat University Faculty of Medicine between January 2018 and December 2021.

Methods

Parasitological examination reports of a total of 24,432 patients who applied to the Parasitology Laboratory of Fırat University Faculty of Medicine between January 2018 and December 2021 were examined retrospectively for the presence of intestinal parasites.

Results

A total of 24,432 (male: 12,887, 52.75%; female: 11,545, 47.25%) patients whose stool and cellophane tape samples were analyzed during the four-year period between January 2018 and December 2021 were included in the study. Intestinal parasites were found in 335 (1.4%) of the 24,432 patients examined. The most frequently detected parasite was Giardia intestinalis (n=149, 46.6%), followed by Entamoeba coli (n=123, 38.5%) and Enterobius vermicularis (n=28, 8.6%). When the distribution of parasite detection rates by years was examined, it was seen that the highest rate was in 2021 and the lowest rate was in 2019.

Conclusion

Intestinal parasitic infections (IPE) are one of the most important public health problems in the world and in our country. Various factors such as the education level of the society, socio-economic status, infrastructure and climate affect the distribution of IPE. When we look at the distribution of parasites by years, it is 1.3% in 2018; 1.13% in 2019; 1.18% in 2020; In 2021, we found it to be 2.03%. We think that this increase in intestinal parasites is caused by the infrastructure and sheltering problems caused by the earthquake in our region.

Can copeptin predict the severity of coronavirus disease 2019 infection?

OBJETIVE

Coronavirus disease 2019 (COVID-19) has quickly turned into a health problem globally. Early and effective predictors of disease severity are needed to improve the management of the patients affected with COVID-19. Copeptin, a 39-amino acid glycopeptide, is known as a C-terminal unit of the precursor pre-provasopressin (pre-proAVP). Activation of AVP system stimulates copeptin secretion in equimolar amounts with AVP. This study aimed to determine serum copeptin levels in the patients with COVID-19 and to examine the relationship between serum copeptin levels and the severity of the disease.

METHODS

The study included 90 patients with COVID-19. The patients with COVID-19 were divided into two groups according to disease severity as mild/moderate disease (n=35) and severe disease (n=55). All basic demographic and clinical data of the patients were recorded and blood samples were collected.

RESULTS

Copeptin levels were significantly higher in the patients with severe COVID-19 compared with the patients with mild/moderate COVID-19 (p<0.001). Copeptin levels were correlated with ferritin and fibrinogen levels positively (r=0.32, p=0.002 and r=0.25, p=0.019, respectively), and correlated with oxygen saturation negatively (r=-0.37, p<0.001). In the multivariate logistic regression analysis, it was revealed that copeptin (OR: 2.647, 95%CI 1.272-5.510; p=0.009) was an independent predictor of severe COVID-19 disease. A cutoff value of 7.84 ng/mL for copeptin predicted severe COVID-19 with a sensitivity of 78% and a specificity of 80% (AUC: 0.869, 95%CI 0.797-0.940; p<0.001).

CONCLUSION

Copeptin could be used as a favorable prognostic biomarker while determining the disease severity in COVID-19.

The effect of radiological distribution on the COVID-19 disease

Introduction

The aim of the study was to investigate the effects of radiological distribution on COVID-19 clinic and prognosis and to determine the relationship between laboratory parameters and thorax CT findings.

Materials and Methods

Patients with COVID-19 were evaluated retrospectively. Laboratory parameters were obtained from medical records. Ground-glass opacities (GGO) and consolidation were evaluated on thorax CT. The presence of a single lobe lesion was considered as limited while multiple lobe lesions were considered as diffuse involvement for both GGO and consolidation.

Result

A total 200 patients with COVID-19 were evaluated. 178 of them (89%) were discharged, 17 patients (8.5%) were transferred to the ICU and five patients died (2.5%). The ratios of mortality and transfer to the ICU in patients with diffused GGO were significantly higher compared to patients with limited GGOs. It was observed that troponin ≥0.06 µg/L, platelet <140 and fibrinogen ≥350 mg/dl were independent predictors of the presences of diffused GGOs in thorax CT.

Conclusions

Diffused GGOs on thorax CT are correlated with the rate of mortality and transfer to the ICU in patients with COVID-19. Also, troponin, fibrinogen, and platelet levels can be used while predicting extensive parenchymal disease on thorax CT.