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Chest CT had a prognostic role considering the PI score alone (AUC 0.722) and when evaluated with demographic characteristics, comorbidities, and laboratory data (AUC 0.841). We, therefore, developed a nomogram as an easy tool for immediate clinical application.

Visual analysis of CT gives useful information to physicians for prognostic evaluations, even in conditions of COVID-19 emergency. The predictive value is increased by evaluating CT in combination with clinical and laboratory data.

Visual analysis of CT gives useful information to physicians for prognostic evaluations, even in conditions of COVID-19 emergency. The predictive value is increased by evaluating CT in combination with clinical and laboratory data.Internet addiction (IA) is an emerging behavioral problem that constitutes a major health threat to vulnerable populations, including adolescents. However, there is a paucity of IA screening tools specifically designed for adolescents, especially in Indonesia. Therefore, the current study developed and validated the IA Diagnostic Questionnaire (KDAI) in adolescents while acknowledging local cultural influences. The KDAI was conceived through extensive literature reviews, expert discussions based on Delphi methods, a face validity study, focus group discussion (N = 31) for initial reliability testing, and a recruited pilot study (N = 385) and main study (N = 643) for exploratory and confirmatory factor analyses, respectively. The multi-sample analyses demonstrated that the KDAI model with the best fit and reliability comprised a seven-factor structure, including withdrawal, loss of control, increase of priority, negative consequences, mood modification, salience, and impairment. These factors were scrutinized against domains of IA Test, and concurrent validity was ascertained. Subsequently, a receiver operating characteristic curve and area under the curve determined a cutoff score of 108 to discern adolescents with IA. Taken together, the KDAI displayed excellent psychometric indices and sensitivity as a screening tool for IA in adolescents.The Coronavirus disease 2019 (COVID-19) pandemic has contributed to over 500,000 deaths, and hospitalization of thousands of individuals worldwide. Cross-sectional data indicate that anxiety and depression levels are greater during the pandemic, yet no known prospective studies have tested this assertion. Further, individuals with elevated trait anxiety prior to a global pandemic may theoretically be more apt to experience greater pandemic-related anxiety and/or impairment. The current study tested whether anxiety and depression increased from the month before the state's Stay-At-Home order to the period of the Stay-At-Home order among 120 young adults in Louisiana, a state with especially high rates of COVID-19 related infections and deaths. We also tested whether pre-pandemic social anxiety was related to greater pandemic related anxiety, depression, and COVID-related worry and impairment. Depression but not anxiety increased during the Stay-At-Home order. Further, pre-pandemic trait anxiety, social anxiety, and depression were statistically significant predictors of anxiety and depression during the Stay-At-Home order, although only social anxiety was robustly related to COVID-related worry and impairment. Emotional distress increased during the COVID-19 pandemic Stay-At-Home order and this is especially the case among individuals with pre-pandemic elevations in trait anxiety (especially social anxiety) and depression.

Metformin has antiviral and anti-inflammatory effects and several cohort studies have shown that metformin lower mortality in the COVID population in a majority white population. There is no data documenting the effect of metformin taken as an outpatient on COVID-19 related hospitalizations. click here Our aim was to evaluate if metformin decreases hospitalization and severe COVID-19 among minority Medicare patients who acquired the SARS-CoV2 virus.

We conducted a retrospective cohort study including elderly minority Medicare COVID-19 patients across eight states. We collected data from the inpatient and outpatient electronic health records, demographic data, as well as clinical and echocardiographic data. We classified those using metformin as those patients who had a pharmacy claim for metformin and non-metformin users as those who were diabetics and did not use metformin as well as non-diabetic patients. Our primary outcome was hospitalization. Our secondary outcomes were mortality and acute respiratory distress ase.

To summarize the available evidence on the use COVID-19 vaccines in patients with diabetes mellitus.

We performed a thorough literature search with regard to COVID-19 vaccines in patients with type 1 and type 2 diabetes mellitus.

The novel coronavirus disease (COVID-19) tends to portend a poor prognosis in patients with diabetes mellitus (DM). Primary prevention remains the mainstay for mitigating the risks associated with COVID-19 in patients with DM. A significant step in primary prevention is timely vaccination. Routine vaccination against pneumococcal pneumonia, influenza, and hepatitis B is recommended in patients with DM with good efficacy and reasonable safety profile. With clinical data supporting a robust neutralizing antibody response in COVID-19 patients with DM, vaccination in individuals with DM is justified. In fact, as the burden of the disease is borne by people with DM, COVID-19 vaccination should be prioritized in individuals with DM. Multiple unresolved issues with regard to preferred vaccine type, vaccine efficacy and durability, frequency of administration, vaccination in children (<18 years) and pregnant/lactating women however remain, and need to be addressed through future research.

Patients with type 1 and type 2 diabetes mellitus are at a high risk of poor prognosis with COVID-19 and vaccination should be prioritized in them. However, many unresolved issues with regard to COVID-19 vaccination need to be addressed through future research.

Patients with type 1 and type 2 diabetes mellitus are at a high risk of poor prognosis with COVID-19 and vaccination should be prioritized in them. However, many unresolved issues with regard to COVID-19 vaccination need to be addressed through future research.