The Impact of COVID-19 on Outcome Indicators of Hospitals of Shahid Beheshti University of Medical Sciences: An Interrupted Time Series Analysis

Background and Aim: With the outbreak of the COVID-19 pandemic, the performance of hospitals were affected, and changes were made in the utilization of hospital services. Analyzing hospital performance data during the COVID-19 pandemic can provide insights into service utilization patterns and care outcomes for managers and policymakers. This study was conducted to investigate the impact of COVID-19 on selected outcome indicators in the hospitals of Shahid Beheshti University of Medical Sciences, Tehran. Materials and Methods: This research was descriptive-analytical and of the time series analysis type. Six outcome indicators were considered: hospitalization rate, bed occupancy rate, the average length of stay, emergency visits, laboratory tests, and imaging requests. Related data from 12 affiliated hospitals from 2017-2019 (pre-COVID) and 2020 (post-COVID) were obtained from the hospital's intelligent management system. The data were analyzed using R software's interrupted time series analysis method. Results: The hospitalization rate (P=0.015), bed occupancy rate (P=0.04), and the number of laboratory tests (P=0.003) significantly increased immediately after the outbreak of the pandemic. In contrast, emergency visits (P=0.034) have significantly decreased. The bed occupancy rate and the number of imaging requests showed no significant change. The decrease in emergency room visits within one year after the pandemic was significant, but the changes in other outcome indicators were non-significant (P>0.05). Conclusion: Understanding the changes and impact of a major event on hospital outcome indicators is necessary for decision-makers to effectively plan for resource allocation and effective pandemic response. The outbreak of COVID-19 has caused a change in performance and hospital outcomes by affecting the supply and demand of services. In a year after the pandemic's beginning, except for emergency visits, the other indicators have not experienced significant changes. Preservation of essential services such as emergency room visits is recommended in the strategy of rapid response to an epidemic outbreak and public campaigns to encourage people to seek medical care if needed in future waves of the pandemic. © 2022 the Authors.

Harnessing Machine Learning in Early COVID-19 Detection and Prognosis: A Comprehensive Systematic Review.

During the early phase of the COVID-19 pandemic, reverse transcriptase-polymerase chain reaction (RT-PCR) testing faced limitations, prompting the exploration of machine learning (ML) alternatives for diagnosis and prognosis. Providing a comprehensive appraisal of such decision support systems and their use in COVID-19 management can aid the medical community in making informed decisions during the risk assessment of their patients, especially in low-resource settings. Therefore, the objective of this study was to systematically review the studies that predicted the diagnosis of COVID-19 or the severity of the disease using ML. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA), we conducted a literature search of MEDLINE (OVID), Scopus, EMBASE, and IEEE Xplore from January 1 to June 31, 2020. The outcomes were COVID-19 diagnosis or prognostic measures such as death, need for mechanical ventilation, admission, and acute respiratory distress syndrome. We included peer-reviewed observational studies, clinical trials, research letters, case series, and reports. We extracted data about the study's country, setting, sample size, data source, dataset, diagnostic or prognostic outcomes, prediction measures, type of ML model, and measures of diagnostic accuracy. Bias was assessed using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). This study was registered in the International Prospective Register of Systematic Reviews (PROSPERO), with the number CRD42020197109. The final records included for data extraction were 66. Forty-three (64%) studies used secondary data. The majority of studies were from Chinese authors (30%). Most of the literature (79%) relied on chest imaging for prediction, while the remainder used various laboratory indicators, including hematological, biochemical, and immunological markers. Thirteen studies explored predicting COVID-19 severity, while the rest predicted diagnosis. Seventy percent of the articles used deep learning models, while 30% used traditional ML algorithms. Most studies reported high sensitivity, specificity, and accuracy for the ML models (exceeding 90%). The overall concern about the risk of bias was "unclear" in 56% of the studies. This was mainly due to concerns about selection bias. ML may help identify COVID-19 patients in the early phase of the pandemic, particularly in the context of chest imaging. Although these studies reflect that these ML models exhibit high accuracy, the novelty of these models and the biases in dataset selection make using them as a replacement for the clinicians' cognitive decision-making questionable. Continued research is needed to enhance the robustness and reliability of ML systems in COVID-19 diagnosis and prognosis.

Non-Dexamethasone Corticosteroid Therapy's Effect on COVID-19 Prognosis in Cancer Patients: A Retrospective Study.

BACKGROUND: Anti-inflammatory corticosteroids are used in cancer treatment and COVID-19 infections. Data on the impact of non-dexamethasone corticosteroids on COVID-19 infection severity in cancer patients are minimal. This study investigates if corticosteroid treatment affects the disease severity in adult cancer patients. METHODS: A total of 116 COVID-19-infected cancer patients on hydrocortisone (H) or prednisone (P) were compared to 343 untreated patients. The study included patients who received corticosteroids before (B), after (A), or both before and after (B and A) COVID-19 infections. Ventilation support, hospitalization and mortality were investigated. RESULTS: Our data showed that a significantly greater number of patients taking H or P required ventilation support and hospitalization and that mortality rates were higher than the control group. Patients who received H or P after COVID-19 infection had a significantly worse prognosis than the other sub-groups and the control group. CONCLUSION: Corticosteroids impacted cancer patients' COVID-19 prognosis. Despite the limited sample size, H- and P-treated patients' corticosteroids performed worse than the control, especially if treatments were received after COVID-19 infection. Hence, when a cancer patient already on H or P treatment is diagnosed with COVID-19, we recommend switching to a steroid treatment as suggested by international guidelines.

Establishing the First COVID-19 Convalescent Plasma Biobank in Jordan.

Background: Antibodies with the specialized ability to fight infection can be found in the blood of individuals who have recovered from or have been vaccinated against COVID-19. As a result, plasma from these individuals could be used to treat critically ill patients. This treatment is known as convalescent plasma (CCP) therapy. Methods: Plasma units from 1555 consented healthy blood bank donors were collected from February to September 2021. Blood units were tested for the quantitative determination of Immunoglobulin G (IgG) antibodies to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus using one of the following assays based on the availability of the kits: The LIAISON® SARS-CoV-2 TrimericS IgG assay or the Abbott SARS-CoV-2 IgG II Quant assay. Results: Among the tested donors, 1027 participants tested positive for neutralizing anti-SARS-CoV-2 IgG antibodies (66.04%). There were 484 donors whose plasma qualified to be used for CCP therapy (47.13%) and 214 CCP units were stored in the COVID-19 convalescent biobank. Conclusion: We were able to identify and store 214 fresh frozen plasma units qualified for CCP-plasma therapy for COVID-19 patients according to World Health Organization standards. Hence, we established the first COVID-19-convalescent plasma data and plasma biobank for treating COVID-19-infected cancer patients in Jordan and the region.

Mental health impact of the first wave of COVID-19 pandemic on healthcare workers in 12 Arab countries.

Background: The COVID-19 pandemic has had a significant impact on public health, including healthcare workers and healthcare systems, worldwide. Aims: To investigate COVID-19-related psychological impact on healthcare workers in 12 Arab countries. Methods: This was a cross-sectional, hospital-based online survey conducted between 4 May and 8 June 2020. We evaluated stress, depression, anxiety, and insomnia using the Depression Anxiety Stress Scale and Insomnia Severity Index. Results: A total of 2879 respondents from 12 Arab countries completed the survey. Anxiety, depression, stress, and insomnia were reported by 48.9%, 50.6%, 41.4% and 72.1% of respondents, respectively. Lower-middle- and lower-income countries had a significantly higher prevalence of all the psychological outcomes than high-income countries. The prevalence of mental health symptoms was higher among healthcare workers aged 30-39 years, those who worked > 44 hours per week, and those in contact with COVID-19 cases, as well as healthcare workers who were not satisfied with the preventive measures. The prevalence of mental health symptoms was lower among male healthcare workers. Conclusion: COVID-19 had a considerable impact on the mental and psychological health of healthcare workers in Arab countries. This was aggravated by the geopolitical location of some Arab countries and social norms usually observed during the month of Ramadan. Being a physician or a young healthcare worker, and long working hours were risk factors for greater psychological impact of the outbreak.

The Effect of Dexamethasone Treatment on COVID-19 Prognosis in Cancer Patients.

BACKGROUND: Dexamethasone is used to treat cancer, relieve chemotherapy-induced nausea and vomiting, enhance cancer patients' appetites, and treat COVID-19 patients. There is little evidence of the impact of a dexamethasone treatment plan on the severity of COVID-19 infections in cancer patients. This study explores whether dexamethasone treatment plan influences the severity of COVID-19 in dexamethasone-treated cancer patients. METHODS: The medical records of 108 cancer patients receiving dexamethasone at King Hussein Cancer Center with a COVID-19 infection and 343 without corticosteroid treatment were reviewed. Patients on dexamethasone within seven days before infection, after infection, or both were included. Ventilation support, hospitalization, and mortality within 28 days of a COVID-19 diagnosis were key severity factors. RESULTS: We found that dexamethasone before a COVID-19 infection increased the risk of requiring ventilation assistance and mortality within 28 days by a factor of 5.8 (2.8-12.0) relative to control (p < 0.005). Continuing dexamethasone treatment after a COVID-19 infection, or starting it after infection, had a risk factor equivalent to control. CONCLUSION: Our data showed that dexamethasone therapy protocol affected COVID-19 prognoses in cancer patients, and it is preferable to not discontinue therapy after infection. A rigorous prospective comparison between early and late dexamethasone dosing is needed to determine the best protocol for treatment.

An update on the impact of SARS-CoV-2 pandemic public awareness on cancer patients' COVID-19 vaccine compliance: Outcomes and recommendations

Background: Aside from the pandemic's negative health effects, the world was confronted with public confusion since proper communication and favorable decisions became an ongoing challenge. As a result, the public's perceptions were influenced by what they knew, the many sources of COVID-19 information, and how they interpreted it. With cancer patients continuing to oppose COVID-19 vaccines, we sought to investigate the COVID-19 pandemic and vaccine sources of this information in adult cancer patients, which either helped or prevented them from taking the vaccine. We also assessed the relevance and impact of their oncologists' recommendations in encouraging them to take the vaccine. Methods From June to October 2021, an online survey was conducted at King Hussein Cancer Center. A total of 441 adult cancer patients took part in the study. Patients who had granted their consent were requested to complete an online questionnaire, which was collected using the SurveyMonkey questionnaire online platform. Descriptive analysis was done for all variables. The association between categorical and continuous variables was assessed using the Pearson Chi-square and Fisher Exact. Results Our results showed that 75% of the patients registered for the COVID-19 vaccine, while 12% refused vaccination. The majority of participants acquired their information from news and television shows, whereas (138/441) got their information through World Health Organization websites. Because the SARS-CoV-2 vaccines were made in such a short period, 54.7 % assumed the vaccines were unsafe. Only 49% of the patients said their oncologists had informed them about the benefits of SARS-CoV-2 vaccines. Conclusions We found that SARS-CoV-2 vaccine hesitancy in cancer patients might be related to misinformation obtained from social media despite the availability of supportive scientific information on the vaccine's benefits from the physicians. To combat misleading and unreliable social media news, we recommend that physicians use telehealth technology to reach out to their patients in addition to their face-to-face consultation, which delivers comprehensive, clear, and high-quality digital services that guide and help patients to better understand the advantages of COVID-19 vaccines.

Olfactory dysfunction in Long-COVID

Aim The project aims to examine chemosensory dysfunction in long-COVID with a focus on olfactory function about 9 months after SARS-CoV-II-infection. Material and Methods In this population-based cross sectional study, PCR-confirmed SARS-CoV-2 outpatients were examined between November and June 2020 at Kiel university hospital. Data on medical history and chemosensory function were collected via questionnaires and a Visual Analogue Scale (VAS), olfactory performance was psychophysically objectified using the Sniffin' Sticks test. Results A total of 376 female and 290 male patients were included with a mean age of 48.2 years ranging from 19 to 87 years. The mean follow-up was 9.09 months (range 1.64-15.18) after initial positive PCR-testing. The prevalence for olfactory dysfunction (OD) during infection was 66,1 %. 33,7 % of the subjects reported persistent OD subjectively at the time of examination (female 28,8 %, male 42,3 %). T-test analysis showed a significant decline of reported olfactory evaluation from before COVID-19 to the time of examination based on VAS (p < 0.001). 34,6 % of the subjects were tested hyposmic or anosmic by Sniffin' Sticks. A significant correlation was shown between a subjective estimation of OD by the patients and an objectively tested OD (p < 0.001). The TDI-score correlated positively with the amount of time (in months) that passed since PCR-testing (p < 0.001). Discussion OD in SARS-CoV-II-infection is frequent and can be persistent long beyond the acute phase of ilness. We demonstrated that anamnestic OD is significantly related to psychophysically tested OD. Therefore one can conclude that a subjective OD is a likely predictor of an actual objective OD. Furthermore, OD shows a tendency to improve over time.

Gustatory dysfunction in long COVID

Background This study aims to investigate the prevalence and long-term development of gustatory dysfunction (GD) after COVID-19. Methods In the population-based cross-sectional COVIDOM-study, 667 patients above the age of 18 years (mean 48.2) who tested positive for SARSCoV- 2 via PCR-testing on average 9.09 months ago were examined between November 2020 and June 2021. Extensive medical history taking was conducted via questionnaires. Participants were asked to rate their ability to taste before, during and after COVID-19 on a Visual Analogue Scale (VAS) ranging from 0 to 10. Whole mouth gustatory testing with Taste Strips for the qualities sweet, sour, salty, and bitter was performed. Results 60.9 % (406 of 667) participants reported gustatory impairment during their infection. Out of those, 56.9 % perceived this symptom as severe and 13.3 % noticed it as the earliest symptom. At the time of our examination, 36.2 % had a persistent subjective GD, defined as a lower score on the VAS than before COVID-19 (mean difference -0.9 points). This difference was significant (p < 0.001). In the testing, 7.3 % (47 of 667) participants had a GD, defined as the correct identification of less than three out of four Taste Strips. No signifi- cant correlation was found between subjectively persistent and tested GD (p = 0.250). Conclusions SARS-CoV-2 seems to frequently affect the gustatory function in the long term as well, what might have an influence on patients' everyday-life. However, Patients' own perception does not always correspond with psychophysiological testing which might be caused by the common difficulty to differentiate between the chemosensory senses of taste and smell.

Randomised trial of synthetic osmotic cervical dilator versus dinoprostone for labour induction

Background: Induction of labor is a commonly performed obstetric intervention. Vaginal prostaglandin E2 (dinoprostone) is the recommended first choice agent in the UK. Mechanical methods of induction are slower to achieve cervical ripening but have a lower risk of adverse effects. Objective: To compare the efficacy, maternal and neonatal safety, and maternal satisfaction of a synthetic osmotic cervical dilator (Dilapan-S) with vaginal prostaglandin E2 (dinoprostone) in cervical ripening for induction of labour. Design: Open-label, multicentre, superiority, randomised controlled trial in four UK National Health Service maternity units. Participants: Eligible participants were women ≥ 16 years of age undergoing induction of labour for a singleton pregnancy, ≥ 37 weeks' gestation with vertex presentation and intact membranes. The trial did not reach its planned sample size of 860 due to restrictions on research during the Covid-19 pandemic. Interventions: Women were randomly assigned to receive Dilapan-S or dinoprostone using a telephone randomisation system minimised by hospital, parity, BMI and maternal age. The induction agent was replaced as required until the cervix was assessed as favourable for labour. Main outcome measures: The primary outcome was failure to achieve vaginal delivery (i.e. caesarean delivery). Secondary outcome measures included maternal and neonatal adverse events. Analysis was by intention-to- treat, adjusting for design variables where possible. Results: Between 19 December 2017 and 26 January 2021, 674 women were enrolled: 337 were randomly assigned to Dilapan-S and 337 to dinoprostone (n = 337). The primary outcome was missing for two women in the dinoprostone group. Failure to achieve vaginal delivery (caesarean section) occurred in 126 women (37.4%) allocated to Dilapan-S, and 115 (34.3%) women allocated to dinoprostone (adjusted risk difference 0.02, 95% confidence interval -0.05 to 0.10). There were similar maternal and neonatal adverse events between the groups. Conclusions: Women undergoing induction of labour with Dilapan-S have similar rates of caesarean section and maternal and neonatal adverse events compared to dinoprostone.

The diabetogenic effects of chronic supplementation of vitamin C or E in rats: Interplay between liver and adipose tissues transcriptional machinery of lipid metabolism.

AIM: The chronic administration of vitamin C and E can differentially disrupt hepatic insulin molecular pathway in rats. Hence, this study evaluated their effects on lipogenesis in the liver and adipose tissue and investigated the possible involvement of microRNA (miR)-22/29a/27a in the induced impaired glucose tolerance. MAIN METHODS: Wistar rats were orally supplemented with vitamin C (100, 200, and 500 mg/kg) or vitamin E (50, 100, and 200 mg/kg) for eight months. KEY FINDINGS: Vitamin C or E at the highest doses significantly altered liver weight and index, serum and hepatic lipids, adiponectin, and liver enzymes; besides their reported unfavorable effect on glucose homeostasis. Vitamin C and E negatively affected peroxisome proliferator-activated receptor coactivator-1 (PGC-1α), sterol regulatory element-binding protein (SREBP)-1c/-2, miR-22/29a/27a expression, and adipose perilipin 1 to different extents, effects that were supported by the histopathological examination. SIGNIFICANCE: The current study provides a deeper insight into the findings of our previous study and highlights the detrimental effects of chronic vitamins supplementation on lipid metabolism. Overall, these findings emphasize the damage caused by the mindless use of supplements and reinforce the role of strict medical monitoring, particularly during the new COVID-19 era during which numerous commercial supplements are claiming to improve immunity.

Association between tocilizumab treatment of hyperinflammatory patients with COVID-19 in a critical care setting and elevated incidence of hospital-acquired bacterial and invasive fungal infections.

BACKGROUND: Tocilizumab is an interleukin-6 inhibitor that reduces mortality and the need for invasive mechanical ventilation, while increasing the possibility of successful hospital discharge for hyperinflammatory patients with severe coronavirus disease 2019 (COVID-19). No increase in adverse events or serious infections has been reported previously. AIM: To describe the characteristics and outcomes of patients with severe COVID-19 in critical care who received tocilizumab, and to compare mortality and length of hospital stay for patients who received tocilizumab (N=41) with those who did not (N=33). METHODS: Retrospective review of data related to patients with COVID-19 who received tocilizumab in a critical care setting from 1st January to 31st December 2021. FINDINGS: Amongst COVID-19 survivors, those who had received tocilizumab had longer intensive care unit (ICU) stays (median length 21 vs 9 days) and hospital stays (45 vs 34 days) compared with those who had not received tocilizumab. Thirty-day mortality (29% vs 36%; P=0.5196) and 60-day mortality (37% and 42%; P=0.6138) were not significantly lower in patients who received tocilizumab. Serious bacterial and fungal infections occurred at higher frequency amongst patients who received tocilizumab [odds ratio (OR) 2.67, 95% confidence interval (CI) 1.04-6.86; P=0.042], and at significantly higher frequency than in non-COVID-19 ICU admissions (OR 5.26, 95% CI 3.08-9.00; P<0.0001). CONCLUSIONS: In this single-centre study, patients in critical care with severe COVID-19 who received tocilizumab had a greater number of serious bacterial and fungal infections, but this may not have been a direct effect of tocilizumab treatment.

Comparison of the Immunogenicity and Protective Efficacy of Various SARS-CoV-2 Vaccines among Healthcare Workers: Are Our White Coat Armies Protected?

BACKGROUND: The effective immunization of healthcare workers (HCWs) plays a vital role in preventing the spread of SARS-CoV-2 infection during the coronavirus disease 2019 (COVID-19) pandemic. There is limited data on the immune response to vaccination among HCWs. We aim to determine seroprevalence rates and neutralizing IgG antibody response to various immunizations among HCWs. METHODS: This study was conducted between July and September 2021, in which blood samples were obtained from HCWs and SARS-CoV-2 IgG neutralizing antibodies were measured. Data regarding vaccination status with Pfizer/BioNTech, Sinopharm, or AstraZeneca vaccines, occupation, and prior COVID-19 infection were analyzed. RESULTS: COVID-19 infection post-vaccination was associated with higher mean antibody titers, regardless of vaccine type. Pfizer/BioNTech vaccination produced higher mean antibody titers for HCWs with prior COVID-19 infection (p < 0.00001) than other types of vaccines. Although 96% of HCWs were vaccinated, 3% were seronegative. For HCWs who were seropositive, there were no significant differences between the mean antibody titers when comparing occupations and blood indices. CONCLUSION: Awareness of the immunity status of HCWs is key to protecting this important group against SARS-CoV-2, especially those without prior COVID-19 infection. Further public health efforts regarding booster vaccination for HCWs are crucial to provide necessary antibody protection.

Feasibility of Mobile and Sensor Technology for Remote Monitoring in Cancer Care and Prevention

Objectives. Remote monitoring (RM) of health-related outcomes may optimize cancer care and prevention outside of clinic settings. CYCORE is a software-based system for collection and analyses of sensor and mobile data. We evaluated CYCORE's feasibility in studies assessing: (1) physical functioning in colorectal cancer (CRC) patients;(2) swallowing exercise adherence in head and neck cancer (HNC) patients during radiation therapy;and (3) tobacco use in cancer survivors post-tobacco treatment (TTP). Methods. Participants completed RM: for CRC, blood pressure, activity, GPS;for HNC, video of swallowing exercises;for TTP, expired carbon monoxide. Patient-reported outcomes were assessed daily. Results. For CRC, HNC and TTP, respectively, 50, 37, and 50 participants achieved 96%, 84%, 96% completion rates. Also, 91-100% rated ease and self-efficacy as highly favorable, 72-100% gave equivalent ratings for overall satisfaction, 72-93% had low/no data privacy concerns. Conclusion. RM was highly feasible and acceptable for patients across diverse use cases.

Consumer approach intentions amid COVID-19: the role of safety compliance and perceived risk

Purpose This study aims to investigate how employee and other-consumer safety compliance amid the COVID-19 outbreak influences a focal consumer's intention to approach a service establishment. The study also examines the three-way interaction effect of employee compliance, other-consumer compliance and perceived threat associated with COVID-19 on approach intentions. Design/methodology/approach This study uses an experimental approach with a 2 (employee safety compliance: low vs high) x 2 (other-consumer safety compliance: low vs high) x 2 (consumer perceived threat from COVID-19: low vs high) between-subjects design. Students were trained to recruit a convenience sample of 827 consumers in Qatar and data were analyzed using ordinary least squares (OLS) regression. Findings Employee safety compliance has a positive impact on the consumer's approach intentions. Employee safety compliance has a bigger impact on approach intentions if other consumers in the service environment are also compliant with safety measures and even a greater effect when the perceived threat from COVID-19 is high. The effect of the interaction between employee and other-consumer safety compliance is significantly different under two levels of perceived threat. Practical implications To enhance approach intentions, managers should start by establishing and maintaining safety compliance among employees and then achieving compliance among consumers. Achieving compliance among employees and consumers has a positive impact on approach intentions despite the focal consumer's perceived risk associated with COVID-19. Originality/value This is the first study to investigate how the safety compliance of employees and other consumers jointly affects consumers' approach intentions during a global pandemic, and it is among very few attempts to manipulate dimensions of the social servicescape.

Covid-19 related hospitalization costs;assessment of influencing factors

Objective: Our aim is to assess the effective factors on hospitalization costs of COVID-19 patients. Methods: Data related to clinical characteristics and cost of hospitalized COVID-19 patients from February 2020 until July 2020, in a public teaching hospital in Tehran, Iran was gathered in a retrospective cohort study. The corresponding factors influencing the diagnostic and therapeutic costs were evaluated, using a generalized linear model. Results: The median COVID-19 related diagnostic and therapeutic costs in a public teaching hospital in Iran, for one hospitalized COVID-19 patient was equal to 271.1 US dollars (USD). In patients who were discharged alive from the hospital, the costs increased with patients’ pregnancy (P<0.001), loss of consciousness during hospitalization (P<0.001), a history of drug abuse (P=0.006), history of chronic renal disease (P<0.001), end stage renal disease (P=0.002), history of brain surgery (P=0.001), history of migraine (P=0.001), cardiomegaly (P=0.033) and occurrence of myocardial infarction during hospitalization (P<0.001). In deceased patients, low age P<0.001), history of congenital disease (P=0.024) and development of cardiac dysrhythmias during hospitalization (P=0.044) were related to increase in therapeutic costs. Conclusion: Median diagnostic and therapeutic costs in COVID-19 patients, hospitalized in a public teaching hospital in Iran were 271.1 USD. Hoteling and medications made up most of the costs. History of cardiovascular disease and new onset episodes of such complications during hospitalization were the most important factors contributing to the increase of therapeutic costs. Moreover, pregnancy, loss of consciousness, and renal diseases are of other independent factors affecting hospitalization costs in COVID-19 patients. © 2022 Tehran University of Medical Sciences.

Predictors of healthcare workers' intention to vaccinate against COVID-19: A cross sectional study from Saudi Arabia.

BACKGROUND: Vaccination is considered the best way to prevent the spread of COVID-19 and to prevent the complications of the disease. Nevertheless, no awareness campaigns were conducted in Saudi Arabia until March 1, 2021, when the Vaxzevria, or ChAdOx1 nCoV-19 (AZD1222), vaccine became available. OBJECTIVES: This study aims to determine the factors that can predict healthcare workers' acceptance of the COVID-19 vaccine. METHODS: A cross-sectional study was conducted from July to September 2021, in our university tertiary hospital (King Saud University Medical City [KSUMC]), Riyadh, Saudi Arabia. The study targeted potential participants among healthcare workers at KSUMC. We assessed healthcare workers' perceptions and beliefs about the COVID-19 vaccine via a questionnaire that was distributed via social media applications such as WhatsApp, Twitter, and Google. Participants were informed about the questionnaire before they filled it out, and they were asked to respond to three screening questions before beginning the main questionnaire. These screening questions ensured that the participants met the inclusion criteria. Included participants were over the age of 18, agreed to answer the questions, and were residents of Saudi Arabia. The participants filled out the self-administered questionnaire. RESULTS: A total of 529 participants completed the questionnaires. All participants were vaccinated, 68% were female, 55% were married, 35% had been working for less than five years, and 65% had a bachelor's degree. More than half of participants had not previously been infected with COVID-19, and most did not interact with COVID-19 patients. More convenient access to the vaccine increased the odds ratio of participant vaccination by 0.39. An increase in the number of vaccinated friends and family members increased the odds ratio of participant vaccination by 0.30. However, COVID- 19 vaccination mandates decreased the odds ratio of participant vaccination by 0.27. The fitted linear regression model explained 32% of the variation observed in the dependent variable, acceptance of the COVID-19 vaccine, and the adjusted R squared was 0.32. The fitted regression model was statistically significant at a 95% confidence interval; the p-value was 0.00001. CONCLUSION: In Saudi Arabia, there is an immense need to increase uptake of the COVID-19 vaccine. This requires encouraging more positive beliefs and attitudes regarding vaccination in general and the COVID-19 vaccine in particular.

International alliance and AGREE-ment of 71 clinical practice guidelines on the management of critical care patients with COVID-19: a living systematic review.

OBJECTIVE: We aimed to systematically identify and critically assess the clinical practice guidelines (CPGs) for the management of critically ill patients with COVID-19 with the AGREE II instrument. STUDY DESIGN AND SETTING: We searched Medline, CINAHL, EMBASE, CNKI, CBM, WanFang, and grey literature from November 2019 - November 2020. We did not apply language restrictions. One reviewer independently screened the retrieved titles and abstracts, and a second reviewer confirmed the decisions. Full texts were assessed independently and in duplicate. Disagreements were resolved by consensus. We included any guideline that provided recommendations on the management of critically ill patients with COVID-19. Data extraction was performed independently and in duplicate by two reviewers. We descriptively summarized CPGs characteristics. We assessed the quality with the AGREE II instrument and we summarized relevant therapeutic interventions. RESULTS: We retrieved 3,907 records and 71 CPGs were included. Means (Standard Deviations) of the scores for the 6 domains of the AGREE II instrument were 65%(SD19.56%), 39%(SD19.64%), 27%(SD19.48%), 70%(SD15.74%), 26%(SD18.49%), 42%(SD34.91) for the scope and purpose, stakeholder involvement, rigor of development, clarity of presentation, applicability, editorial independence domains, respectively. Most of the CPGs showed a low overall quality (less than 40%). CONCLUSION: Future CPGs for COVID-19 need to rely, for their development, on standard evidence-based methods and tools.