The Usefulness of the COVID-GRAM Score in Predicting the Outcomes of Study Population with COVID-19.

BACKGROUND: The COVID-GRAM is a clinical risk rating score for predicting the prognosis of hospitalized COVID-19 infected patients. AIM: Our study aimed to evaluate the use of the COVID-GRAM score in patients with COVID-19 based on the data from the COronavirus in the LOwer Silesia (COLOS) registry. MATERIAL AND METHODS: The study group (834 patients of Caucasian patients) was retrospectively divided into three arms according to the risk achieved on the COVID-GRAM score calculated at the time of hospital admission (between February 2020 and July 2021): low, medium, and high risk. The Omnibus chi-square test, Fisher test, and Welch ANOVA were used in the statistical analysis. Post-hoc analysis for continuous variables was performed using Tukey's correction with the Games-Howell test. Additionally, the ROC analysis was performed over time using inverse probability of censorship (IPCW) estimation. The GRAM-COVID score was estimated from the time-dependent area under the curve (AUC). RESULTS: Most patients (65%) had a low risk of complications on the COVID-GRAM scale. There were 113 patients in the high-risk group (13%). In the medium- and high-risk groups, comorbidities occurred statistically significantly more often, e.g., hypertension, diabetes, atrial fibrillation and flutter, heart failure, valvular disease, chronic kidney disease, and obstructive pulmonary disease (COPD), compared to low-risk tier subjects. These individuals were also patients with a higher incidence of neurological and cardiac complications in the past. Low saturation of oxygen values on admission, changes in C-reactive protein, leukocytosis, hyperglycemia, and procalcitonin level were associated with an increased risk of death during hospitalization. The troponin level was an independent mortality factor. A change from low to medium category reduced the overall survival probability by more than 8 times and from low to high by 25 times. The factor with the strongest impact on survival was the absence of other diseases. The medium-risk patient group was more likely to require dialysis during hospitalization. The need for antibiotics was more significant in the high-risk group on the GRAM score. CONCLUSION: The COVID-GRAM score corresponds well with total mortality. The factor with the strongest impact on survival was the absence of other diseases. The worst prognosis was for patients who were unconscious during admission. Patients with higher COVID-GRAM score were significantly less likely to return to full health during follow-up. There is a continuing need to develop reliable, easy-to-adopt tools for stratifying the course of SARS-CoV-2 infection.

Association between the Desire for Breast Augmentation and Instagram Engagement: A Cross-Sectional Survey among Young Polish Women.

The impact of social media on the eagerness to undergo aesthetic breast surgery is unknown. We aimed to evaluate the association between Instagram engagement and the willingness to undergo breast augmentation. Women aged between 19-34 years old participated in an online survey. Of the 1560 respondents, 1226 (78.59%) met the inclusion criteria. BMI, bra type, bra cup size, education, and level of activity on Instagram increased the willingness to undergo breast augmentation (OR = 1.520, p = 0.020). Moreover, concurrent Snapchat use (OR = 1.348, p = 0.024) and the number of published posts on a respondent's Instagram accounts (reference, n > 26; 0 < n ≤ 26; OR = 0.708, p = 0.009; lack of posts (n = 0): OR = 0.702, p = 0.155) were significant drivers of the respondents' willingness. Fashion (OR = 0.730, p = 0.021), design/architecture (OR = 0.730, p = 0.022), and models (OR = 0.623, p = 0.004) were the searched content categories that increased the desire for breast augmentation. Positive and negative feeling scores that were triggered by Instagram content were correlated with BREAST-Q scores. We concluded that Instagram is a commonly used social network service among young women, and it may drive a desire for breast augmentation. Further analyses of Instagram preferences may help assess the willingness to undergo breast surgery, and in turn assist in tailoring marketing campaigns.