Hospital-acquired infections (HAI) reflect as a major global safety concern for both patients and health-care professionals. These infections could be in the form of cross-infection, endogenous infection and environmental Infection. Over 80% of these infections are related to devices' utilization needed for patients' life support. Methods show this is an observational and cross-sectional study, to identify the microorganism and determine the potential source of transmitting of hospital acquired infection by routine devices in adult ICU. The samples were collected using Amies transport media; three swabs were taken from the surfaces of indwelling urinary catheter, mechanical ventilation device and central venous catheter used from every twelve patients. The samples were cultured and analyzed by using microbiologic technique. Finally, all samples analyzed by MicroScan WalkAway 96 pulse. Results showing the most bacteria isolated are "Klebsiella pneumonia" (18.37%), "Acinetobacter baumannii" (11.48%), "Staphylococcus epidermidis" (4.59%), "Staphylococcus haemolyticus" (4.59%), "E. coli" (4.59%), "Serratia marcescens" (2.3%), "Pseudomonas luteola" (2.3%), "Kocurio kristinae" (2.3%) and "Photorhabdus luminscens" (2.3%). This study detects a high contamination of routine devices and resistant organisms. In the end it is recommended that effective infection control practices and effective strategies to control antibiotic-resistant bacteria should be applied.

Background A good understanding of the possible risk factors for coronavirus disease 19 (COVID‐19) severity could help clinicians in identifying patients who need prioritized treatment to prevent disease progression and adverse outcome. In the present study, we aimed to correlate clinical and laboratory characteristics of hospitalized COVID-19 patients to disease outcome in Saudi Arabia. Materials and Methods The present study included 199 COVID-19 patients admitted to King Fahd Specialist Hospital, Buraydah, Qassim, Saudi Arabia, from April to December 2020. Patients were followed-up until discharge either for recovery or death. Demographic data, clinical data and laboratory results were retrieved from electronic patient records. Results Critical COVID-19 cases showed higher mean of age and higher prevalence of co-morbid conditions. Fifty-five patients died during the observation period. Risk factors for in hospital death for COVID 19 patients were leukocytosis (OR 1.89, 95% CI 1.008–3.548, p = 0.081), lymphocytopenia (OR 2.152, 95% CI 1.079–4.295, p = 0.020), neutrophilia (OR 1.839, 95% CI 0.951–3.55, p = 0.047), thrombocytopenia (OR 2.152, 95% CI 0.852–5.430, p = 0.085), liver injury (OR 2.689, 95% CI 1.373–4.944, p = 0.003), acute kidney injury (OR 1.248, 95% CI 0.631–2.467 p = 0.319), pancreatic injury (OR 1.973, 95% CI 0.939–4.144, p = 0.056) and high D dimer (OR 2.635, 95% CI 0.747–9.287, p = 0.091). Conclusion Clinical and laboratory data of COVID-19 patients may help understanding the pathogenesis of the disease and subsequently improve of the outcome of patients by determination of the associated risk factors and recognition of high risk group who are more liable for complications and in hospital death. The present study put an eye on some parameters (laboratory and clinical) that should be alarming signs that the patient is at high risk bad prognosis.