Independently associated variables with higher morbidity and mortality: A scientific perspective of a cohort of orthopedic patients with Covid-19

Background & aims: Riyadh, Saudi Arabia latest center for the 2019 pandemic of Coronavirus (COVID-19). The ethnic populations with a higher incidence of obesity tend to be particularly impacted. Our aims were to evaluate the characteristics and early effects on Orthopedic Patients with COVID-19, and to evaluate Orthopedic Patients with poorer outcomes regardless of age, sex and other comorbidities. Methods: The first 200 Orthopedic Patients admitted to a tertiary medical center with COVID-19 were included. At least three weeks after admission, electronic patient reports were analyzed. Mortality in hospitals was the main endpoint. Results: 200 Orthopedic Patients (female sex: 102) were included. The average BMI was 30 kg / m2. The middle age was 64. The three most prevalent comorbidities were hypertension (76 percent), hyperlipidemia (46.2 percent), and diabetes (39.5 percent). A multi-variate study reveals that BMIs was indigenously correlated with a higher in patient mortality of 35 kg / m2 (reference: BMI 25-34 kg / m2;OR: 3.78;95 percent CI: 1.45-9.63;p = 0.006;p = 0.061) and age rises (analyzed in quartiles;OR: 1.73;95 percent CI: 1.13-2.63;p = 0.011). Conclusions: This cohort of hospitalized Orthopedic Patients with COVID-19 in the majority minority group is individually related to greater in-hospital mortality and overall poorer in-hospital results with extreme obesity, rising age and male sex.

On the optimal control of coronavirus (2019-nCov) mathematical model; a numerical approach.

In this paper, a novel coronavirus (2019-nCov) mathematical model with modified parameters is presented. This model consists of six nonlinear fractional order differential equations. Optimal control of the suggested model is the main objective of this work. Two control variables are presented in this model to minimize the population number of infected and asymptotically infected people. Necessary optimality conditions are derived. The Grünwald-Letnikov nonstandard weighted average finite difference method is constructed for simulating the proposed optimal control system. The stability of the proposed method is proved. In order to validate the theoretical results, numerical simulations and comparative studies are given.