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Background: Self-care during Coronavirus Disease 2019 (COVD-19) helps people follow self-care strategies to reduce the spread of the virus. To control the disease, people need to engage in self-care behaviors, and investigating these behaviors requires a valid and reliable instrument to yield valid and credible information. Objectives: This study aimed to validate the Persian version of the Self-Care in COVID-19 Scale (SCOVID-Scale). Methods: The sample included 582 participants from XXX's general population who were selected using a convenience sampling method. They were divided into two groups, one half for exploratory factor analysis (EFA) and the other for confirmatory factor analysis (CFA). Cronbach's alpha coefficient and McDonald's omega were used to assess Internal consistency. Standard error of measurement (SEM) and interclass correlation coefficient (ICC) was used to examine absolute stability and relative stability, respectively. Results: In the EFA, three factors, including Prevention, Routine Activities, and Lifestyle, were extracted that together explained 32.31% of the total variance of COVID-19 self-care. Internal consistency of the total scale using both Cronbach's alpha coefficient and McDonald's omega was above 0.7. The goodness of fit indices of second-order CFA was in the acceptable range. Conclusion: The Persian version of the SCOVID Scale is a valid and reliable instrument, and it can be used in studies on COVID-19.
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Background and Aim: Fractures and dislocations of the femur are a common and disruptive public health problem worldwide. One of the most common ways is to identify the factors associated with common outcomes that increase mortality, length of hospital stay, and postoperative complications. By identifying these factors, the adverse outcomes of elderly hip fractures can be prevented. Therefore, the aim of this study was to determine the relationship between factors affecting hip fracture and its consequences. Materials and Methods: The present study was a descriptive cross-sectional observational study. The study population in this study included patients with hip fractures. Patients' information was examined between 2017-2020 years. Data were analyzed by SPSS applying descriptive statistics, Fisher Exact test, chi-square, independent t-tests, and analytical regression. Results: The results showed that in this study, the majority of patients with hip fracture had an underlying disease (73.9%). The most common underlying diseases in patients included high blood pressure (20.7%), diabetes (13.2%) and heart diseases (10.5%). The most common causes of death was include old age (40.4%), prevalence of covid-19 (20.2%), heart attack (11.7%), pulmonary embolism (10.6%) and surgical wound infection (10.6%). The most common cause of hip fracture was osteoporosis (26.3%) and falling from a height (24.7%). Also level of education (P=0.0001), causes of fracture (P=0.001), type of anesthesia (P=0.001), history of hospitalization in special wards (P=0.001), readmission (P=0.0001), age (P=0.001) and level of self-care (P=0.001) were significantly associated with elderly mortality. There was a significant relation between type of surgery (P=0.038), history of hospitalization in intensive care units (P=0.001), history of blood transfusion (P=0.021) and level of self-care (P=0.001) with length of hospital stay of fractured elderly hip. Conclusion: It can be concluded that by identifying the factors affecting the length of hospital stay, surgical wound infection and mortality of the patients with hip fractures, witness better surgery results, shorter hospital stay, less postoperative complications and reduced death. Some factors such as osteoporosis are preventable, which can be prevented with timely education. © 2022 the Authors.
ABSTRACT
The relationship between ABO blood group and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 - coronavirus disease 19 [COVID-19]) infection has been investigated, and several studies have reported discordant findings. This systematic review and meta-analysis study were conducted to investigate the relationship between ABO blood group and COVID-19 infection. The international databases Institute for Scientific Information (ISI)/Web of Science, PubMed, and Scopus were systematically searched from 1 January 2020 through 14 June 2021. Twenty-seven studies met the inclusion criteria for meta-analysis including 23,285 COVID-19 case subjects and 590,593 control subjects. The odds of having each blood group among COVID-19 patients compared with control subjects were calculated. The random effects model was used to obtain the overall pooled odds ratio (OR). Publication bias and subgroup and sensitivity analyses were performed to explore the source of heterogeneity. According to the random effects model, the results indicated that the pooled estimates of OR (95% confidence interval) for blood groups A, O, B, and AB were 1.26 (1.13-1.40), 0.77 (0.71-0.82), 1.05 (0.99-1.12), and 1.11 (0.99-1.25), respectively. Therefore, individuals infected with COVID-19 have higher odds of having blood group A and lower odds of having blood group O. In conclusion, this study indicated that individuals with blood group A are more susceptible to COVID-19 infection, whereas those with blood group O are less susceptible to COVID-19 infection. However, further studies are warranted to support these findings.
Subject(s)
COVID-19 , ABO Blood-Group System , Blood Grouping and Crossmatching , COVID-19/epidemiology , Humans , SARS-CoV-2ABSTRACT
Background and Objectives: Nosocomial infections (NIs) are an important cause of mortality and morbidity in intensive care units (ICU). Pneumonia is the most common serious manifestation of infection in Covid-19 patients. The aim of this study was to investigate the prevalence of pneumonia in Covid-19 patients admitted to the ICU. Materials and Methods: In this cross-sectional study, 1240 Covid-19 patients admitted for more than 48 h in the ICUs of Imam Khomeini Complex Hospital (IKCH) in Tehran for seven months in 2020 were included in the study with initial diagnosis of Covid-19 (PCR test and chest imaging). Data were collected regarding severity of the illness, primary reason for ICU admission, presence of risk factors, presence of infection, length of ICU and hospital stay, microbial type and antibiotic resistance. In this study, the pattern of antibiotic resistance was determined using the disk difusion method. Results: In this study, 289 (23.3%) out of 1320 patients experienced NIs. 221 (76.4%) out of 289 patients had underlying diseases and the most common of which were hypertension, diabetes and heart disease, respectively. 163 patients (56.4%) were RT-PCR COVID-19 positive and 200 patients (69%) died. The majority of patients with NIs (71%) were over 55 years old. The most common type of nosocomial infection (66%) was ventilator-associated pneumonia (VAE). The most common microorganisms that cause pneumonia were Acinetobacter baumannii, Klebsiella pneumoniae and Pseudomonas aeruginosa, respectively. Conclusion: Pneumonia infection is high in Covid-19 patients admitted to the ICU, it needs to be planned with the diagnosis and measures related to the control and prevention of this infection.