Thyssenlu1456

morning regimen was associated with a significant reduction in CRP values. Further confirmations with larger and multicenter samples of patients could reveal novel potentially useful insights.

This study evaluated the efficacy of the soluble epoxide hydrolase (sEH) inhibitor, TPPU on chronic NG-Nitro L-arginine methyl ester (L-NAME)-induced hypertension in rats and its effects on plasma Angiotensin II (Ang II), cardiac Angiotensin-converting enzyme (ACE) and Angiotensin II receptor type 1 (AT1R) expressions.

Forty Sprague Dawley rats were divided into 5 groups. Two groups served as control and received orally either vehicle or TPPU (3 mg/kg) for five weeks. The other three groups were given L-NAME (50 mg/kg/day) in drinking water for five weeks. Two weeks after the L-NAME treatment, animals received orally either saline or TPPU (3 mg/kg/day) or lisinopril (10 mg/kg/day) daily for 3 weeks. Blood pressure (BP) was measured weekly. At the end of the experiment, plasma Ang II, cardiac ACE and AT1R protein and gene expressions were determined.

L-NAME caused a significant increase in BP of the animals. TPPU and lisinopril resulted in normalization of L-NAME-induced hypertension. They also caused a significant reduction in Ang II and ACE protein and gene expressions compared to L-NAME and vehicle-treated animals.

This study demonstrates that TPPU effectively lowers L-NAME-induced hypertension in rats. The mechanism of its antihypertensive effect is likely mediated by the suppression of ACE gene and protein expression, leading to a lower Ang II level.

This study demonstrates that TPPU effectively lowers L-NAME-induced hypertension in rats. The mechanism of its antihypertensive effect is likely mediated by the suppression of ACE gene and protein expression, leading to a lower Ang II level.

To explore the CT imaging features/signs of patients with different clinical types of Coronavirus Disease 2019 (COVID-19) via the application of artificial intelligence (AI), thus improving the understanding of COVID-19.

Clinical data and chest CT imaging features of 58 patients confirmed with COVID-19 in the Fifth Medical Center of PLA General Hospital were retrospectively analyzed. According to the Guidelines on Novel Coronavirus-Infected Pneumonia Diagnosis and Treatment (Provisional 6th Edition), COVID-19 patients were divided into mild type (7), common type (34), severe type (7) and critical type (10 patients). The CT imaging features of the patients with different clinical types of COVID-19 types were analyzed, and the volume percentage of pneumonia lesions with respect to the lung lobes (where the lesion was located) and to the whole lung was calculated with the use of AI software. SPSS 21.0 software was used for statistical analysis.

Common clinical manifestations of COVID-19 patients fever was ted with a combination of an analysis of clinical features and CT imaging features and assistant diagnosis by AI software.

The clinical and CT imaging features of COVID-19 patients were characteristic to a certain degree; thus, the clinical course and severity of COVID-19 could be evaluated with a combination of an analysis of clinical features and CT imaging features and assistant diagnosis by AI software.

The recent outbreak of SARS-CoV-2 infection in Italy has resulted in a sudden and massive flow of patients into emergency rooms, and a high number of hospitalizations with the need for respiratory isolation. Massive admission of patients to the Policlinico "Agostino Gemelli" Foundation of Rome, Italy, determined the need for reengineering the entire hospital.

In this article, we consider some of the structural and organizational changes that have been necessary to deal with the emergency, with particular reference to non-intensive medicine wards, and the preventive measures aimed at limiting the spread of SARS-CoV-2 infection among hospital staff and patients themselves.

577 staff members were subjected to molecular tests in 1-month period and 3.8% of the total were positive. 636 patients admitted to the COVID-19 pathway were included and analyzed 45.4% were identified as SARS-CoV-2 positive. More SARS-CoV-2 negative patients were discharged in comparison to SARS-CoV-2 positive patients (59% vs. 41%, respectively). On the other hand, more SARS-CoV-2 positive patients were transferred to ICUs in comparison to SARS-CoV-2 negative patients (16% vs. 1%, respectively). Occurrence of death was similar between the two groups, 11% vs. 7%, for SARS-CoV-2 negative and positive patients, respectively. 25% of ≥80 years old SARS-CoV-2 positive patients died during the hospitalization, while death rate was lower in other age groups (5% in 70-79 years old patients and 0% in remaining age groups).

Rapid hospital reengineering has probably had an impact on the management of patients with and without SARS-CoV-2 infection, and on in-hospital mortality rates over the reporting period.

Rapid hospital reengineering has probably had an impact on the management of patients with and without SARS-CoV-2 infection, and on in-hospital mortality rates over the reporting period.

To investigate the effect of corticosteroid on hospital mortality, hospital length of stay, and time of viral clearance in patients with severe and critical COVID-19.

Patients with severe and critical COVID-19 who had been discharged or expired were enrolled in this study. Patients were divided into corticosteroid group and non-corticosteroid group according to the systemic corticosteroid use or not. Naphazoline cell line Clinical data were collected, and hospital mortality, hospital length of stay, time of viral clearance, time of mechanical ventilation, and duration from illness onset to symptom resolution were compared between the two groups.

A total of 72 inpatients who were diagnosed with severe and critical COVID-19 were enrolled, in which 47 patients were divided into corticosteroid group and 25 were involved as the non-corticosteroid group. Baseline characteristics were generally similar between the two groups. Four (5.6%) patients died during hospitalization, and 68 (94.4%) were discharged. Among survivors, the mean duration time from admission to discharge was 19.