Methanol poisoning during COVID-19 pandemic; A systematic scoping review.

OBJECTIVE: In this systematic scoping review, it was aimed to assess the epidemiology of methanol poisoning, clinical findings and patients' management, causes, and recommendations regarding prevention or reduction of methanol poisoning during COVID-19 pandemic. METHODS: Three Electronic databases [Medline (accessed from PubMed), Scopus, and Science Direct] were searched systematically from December 01, 2019 to September 10, 2020, using MESH terms and the related keywords in English language. Considering the titles and abstracts, unrelated studies were excluded. The full texts of the remained studies were evaluated by authors, independently. Then, the studies' findings were assessed and reported. RESULTS: Total of 86 articles were obtained within the first step of searching, and 64 ones remained after removing the duplications. Through the title and abstract screening, 35 were removed. Finally, after reading the full text of the remained articles, 15 ones included in data extraction. Most of the previous reported evidence (13/15) were letter to editor, commentary and short reports. None of them were interventional, and none of them followed the patients. Findings were summarized in four categories: 1) epidemiology; 2) clinical findings and patients' management; 3) causes; and 4) recommendation regarding prevention or reduction of methanol poisoning during COVID-19 pandemic. CONCLUSION: The recent outbreak is the largest methanol mass poisoning outbreak throughout Iran and the world in recent decades. The causes of methanol poisoning during the COVID-19 pandemic are intertwined, and most of them are modifiable by health policy makers. Building trust, educating and warning, as well as controlling and monitoring are three main recommendation for prevention or reduction of methanol poisoning.

Predictive determinants of overall survival among re-infected COVID-19 patients using the elastic-net regularized Cox proportional hazards model: a machine-learning algorithm.

BACKGROUND: Narrowing a large set of features to a smaller one can improve our understanding of the main risk factors for in-hospital mortality in patients with COVID-19. This study aimed to derive a parsimonious model for predicting overall survival (OS) among re-infected COVID-19 patients using machine-learning algorithms. METHODS: The retrospective data of 283 re-infected COVID-19 patients admitted to twenty-six medical centers (affiliated with Shiraz University of Medical Sciences) from 10 June to 26 December 2020 were reviewed and analyzed. An elastic-net regularized Cox proportional hazards (PH) regression and model approximation via backward elimination were utilized to optimize a predictive model of time to in-hospital death. The model was further reduced to its core features to maximize simplicity and generalizability. RESULTS: The empirical in-hospital mortality rate among the re-infected COVID-19 patients was 9.5%. In addition, the mortality rate among the intubated patients was 83.5%. Using the Kaplan-Meier approach, the OS (95% CI) rates for days 7, 14, and 21 were 87.5% (81.6-91.6%), 78.3% (65.0-87.0%), and 52.2% (20.3-76.7%), respectively. The elastic-net Cox PH regression retained 8 out of 35 candidate features of death. Transfer by Emergency Medical Services (EMS) (HR=3.90, 95% CI: 1.63-9.48), SpO2≤85% (HR=8.10, 95% CI: 2.97-22.00), increased serum creatinine (HR=1.85, 95% CI: 1.48-2.30), and increased white blood cells (WBC) count (HR=1.10, 95% CI: 1.03-1.15) were associated with higher in-hospital mortality rates in the re-infected COVID-19 patients. CONCLUSION: The results of the machine-learning analysis demonstrated that transfer by EMS, profound hypoxemia (SpO2≤85%), increased serum creatinine (more than 1.6 mg/dL), and increased WBC count (more than 8.5 (×109 cells/L)) reduced the OS of the re-infected COVID-19 patients. We recommend that future machine-learning studies should further investigate these relationships and the associated factors in these patients for a better prediction of OS.

Diagnosing skull fracture in children with closed head injury using point-of-care ultrasound vs. computed tomography scan.

Diagnostic and therapeutic interventions in children for traumatic brain injury, which is known as the most important complication in trauma, require special attention. This study aimed to evaluate the accuracy of point-of-care ultrasound (POCUS) in diagnosing skull fracture in children with closed head injury in comparison with computed tomography (CT) scan. The current prospective cross-sectional study was conducted on children (0-14 years old), who were referred to the emergency department of a general teaching hospital in Shiraz, southern Iran (January-March 2018), with close head injury and were suspected of bone fracture. The participants were selected using a convenience sampling. The results of POCUS performed by emergency medicine (EM) residents were compared with the results of CT scan, which was reported by radiologists and considered a gold standard. Then, diagnostic tests were calculated. A total of 168 children were enrolled, with the mean ± standard deviation age of 6.21 ± 3.99. The most affected areas in the skull were the frontal (34.5%) and occipital areas (33.3%). POCUS had a sensitivity and specificity of 81.8% (95%CI, 48.2-97.7%) and 100% (95%CI, 97.7-100%), respectively. Positive and negative predictive values were 100% and 98.7%, with an accuracy of 98.8% in comparison with CT scan in the diagnosis of skull fracture.Conclusion: The results showed that POCUS with a portable ultrasonography machine, performed by the EM's physicians, have high diagnostic precision and can be considered a tool in the management of patients with closed head injury. What is Known: • Some studies have investigated the accuracy of ultrasound in diagnosing skull bone fractures in children with closed head injury, but before conducting this survey, no definite evidence recommended POCUS for skull fracture in children with closed head trauma in the ED. What is New: • POCUS with a portable ultrasonography machine, performed by the EM's physicians, has high diagnostic precision and can be considered a tool in the management of patients with closed head injury.

Age-Specific Differences in the Severity of COVID-19 Between Children and Adults: Reality and Reasons.

In severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections, children experience mild symptoms compared to adults. However, the precise explanations for this disparity are not clear. Thus, we attempted to identify rational explanations about age-related differences as reported in different studies. Given the incomplete data on SARS-CoV-2, some information has been gathered from other studies of earlier coronavirus or influenza outbreaks. Age-related differences in disease severity are important with regard to diagnosis, prognosis, and treatment of SARS-CoV-2 infections. In addition, these differences impact social distancing needs, since pediatric patients with mild or asymptomatic are likely to play a significant role in disease transmission.

The interaction of phages and bacteria: the co-evolutionary arms race.

Since the dawn of life, bacteria and phages are locked in a constant battle and both are perpetually changing their tactics to overcome each other. Bacteria use various strategies to overcome the invading phages, including adsorption inhibition, restriction-modification (R/E) systems, CRISPR-Cas (clustered regularly interspaced short palindromic repeats-CRISPR-associated proteins) systems, abortive infection (Abi), etc. To counteract, phages employ intelligent tactics for the nullification of bacterial defense systems, such as accessing host receptors, evading R/E systems, and anti-CRISPR proteins. Intense knowledge about the details of these defense pathways is the basis for their broad utilities in various fields of research from microbiology to biotechnology. Hence, in this review, we discuss some strategies used by bacteria to inhibit phage infections as well as phage tactics to circumvent bacterial defense systems. In addition, the application of these strategies will be described as a lesson learned from bacteria and phage combats. The ecological factors that affect the evolution of bacterial immune systems is the other issue represented in this review.

Lung and cardiac ultrasound (LuCUS) protocol in diagnosing acute heart failure in patients with acute dyspnea.

OBJECTIVE: To investigate the accuracy of lung and cardiac ultrasound (LuCUS) protocol in diagnosing Acute Heart Failure (AHF) in patients who refer to Emergency Department (ED) with acute dyspnea. METHODS: This was an interventional study on adult patients, who were referred with chief complaint of undifferentiated acute dyspnea to the ED of Namazi hospital, the largest referral center in southern Iran. The intervention was LuCUS protocol, which was performed by Emergency Physicians (EPs) at the bedside. All patients' files were reviewed separately by two independent specialists, who were blinded to LuCUS results for final diagnosis as gold standard, then the results of LuCUS were compared with it. All data were analyzed and diagnostic tests were calculated (α = 0.05). RESULTS: In 100 patients enrolled in the study, 28% had the final diagnosis as AHF. The LuCUS protocol had the sensitivity of 64% (95%CI, 44%-81%), specificity of 97% (95%CI, 90%-100%), positive predicative value of 90% (95%CI, 69%-97%), negative predicative value of 88% (95%CI, 81%-92%), positive likelihood ratio of 23.14 (95%CI, 5.74-93.3), negative likelihood ratio of 0.37 (95%CI, 0.22-0.6), and accuracy of 88% (95%CI, 80%-94%). CONCLUSION: LuCUS protocol can be used by EPs as a practical tool to differentiate the cardiac and non-cardiac etiologies of acute dyspnea, specifically AHF, as it is more accurate than clinical diagnosis by itself. Hence, it is recommend that while conducting further studies in order to achieve more generalizable results, EPs can employ it alongside their clinical evaluations to have a faster and more accurate diagnosis.

Accuracy of three-point compression ultrasound for the diagnosis of proximal deep-vein thrombosis in emergency department.

BACKGROUND: This study aimed to assess the accuracy of three-point compression ultrasonography (3PCUS) performed for the diagnosis of proximal deep-vein thrombosis (DVT) in Emergency Department (ED) compared with the results of duplex US (DUS) (whole-leg compression ultrasound). MATERIALS AND METHODS: The current prospective cross-sectional study with diagnostic test assessment was conducted on adult patients who were referred to the ED of a general teaching hospital in Shiraz, southern part of Iran (September 2016-May 2017), suspected of lower-extremity DVT, using a convenience sampling. The results of 3PCUS performed by ED residents were compared with the results of DUS performed by the radiology residents, which was considered as a criterion standard. RESULTS: A total of 240 patients were enrolled, with a mean (standard deviation) age of 59.46 (16.58). 3PCUS has a sensitivity and a specificity of 100% (95% confidence interval [CI], 96.55%-100%) and 93.33% (95% CI, 87.72%-96.91%), respectively, in comparison with DUS (whole-leg compression ultrasound). Negative predictive value and positive predictive value were 100% and 92.11% (95% CI, 86.12%-95.64%), respectively, with an accuracy of 96.25% (95% CI, 93%-98.27%). CONCLUSION: The results of this study showed that 3PCUS of the lower extremities with a portable US machine, performed by the ED's residents, can accurately identify the presence or absence of lower-extremity DVT.

Epilepsy classification using artificial intelligence: A web-based application.

OBJECTIVE: The purpose of the current endeavor was to evaluate the feasibility of using easily accessible and applicable clinical information (based on history taking and physical examination) in order to make a reliable differentiation between idiopathic generalized epilepsy (IGE) versus focal epilepsy using machine learning (ML) methods. METHODS: The first phase of the study was a retrospective study of a prospectively developed and maintained database. All patients with an electro-clinical diagnosis of IGE or focal epilepsy, at the outpatient epilepsy clinic at Shiraz University of Medical Sciences, Shiraz, Iran, from 2008 until 2022, were included. The first author selected a set of clinical features. Using the stratified random portioning method, the dataset was divided into the train (70%) and test (30%) subsets. Different types of classifiers were assessed and the final classification was made based on their best results using the stacking method. RESULTS: A total number of 1445 patients were studied; 964 with focal epilepsy and 481 with IGE. The stacking classifier led to better results than the base classifiers in general. This algorithm has the following characteristics: precision: 0.81, sensitivity: 0.81, and specificity: 0.77. SIGNIFICANCE: We developed a pragmatic algorithm aimed at facilitating epilepsy classification for individuals whose epilepsy begins at age 10 years and older. Also, in order to enable and facilitate future external validation studies by other peers and professionals, the developed and trained ML model was implemented and published via an online web-based application that is freely available at http://www.epiclass.ir/f-ige.

A New Rapid Approach for Predicting Death in Coronavirus Patients: The Development and Validation of the COVID-19 Risk-Score in Fars Province (CRSF).

BACKGROUND: Patients who are identified to be at a higher risk of mortality from COVID-19 should receive better treatment and monitoring. This study aimed to propose a simple yet accurate risk assessment tool to help decision-making in the management of the COVID-19 pandemic. METHODS: From Jul to Nov 2020, 5454 patients from Fars Province, Iran, diagnosed with COVID-19 were enrolled. A multiple logistic regression model was trained on one dataset (training set: n=4183) and its prediction performance was assessed on another dataset (testing set: n=1271). This model was utilized to develop the COVID-19 risk-score in Fars (CRSF). RESULTS: Five final independent risk factors including gender (male: OR=1.37), age (60-80: OR=2.67 and >80: OR=3.91), SpO 2 (≤85%: OR=7.02), underlying diseases (yes: OR=1.25), and pulse rate (<60: OR=2.01 and >120: OR=1.60) were significantly associated with in-hospital mortality. The CRSF formula was obtained using the estimated regression coefficient values of the aforementioned factors. The point values for the risk factors varied from 2 to 19 and the total CRSF varied from 0 to 45. The ROC analysis showed that the CRSF values of ≥15 (high-risk patients) had a specificity of 73.5%, sensitivity of 76.5%, positive predictive value of 23.2%, and negative predictive value (NPV) of 96.8% for the prediction of death (AUC=0.824, P<0.0001). CONCLUSION: This simple CRSF system, which has a high NPV, can be useful for predicting the risk of mortality in COVID-19 patients. It can also be used as a disease severity indicator to determine triage level for hospitalization.

Designing a Multicenter Registry of COVID-19 and Other Respiratory Infections in Fars, Iran.

OBJECTIVE: A year after the emergence of a novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), as a new crisis in respiratory infections, there remain many uncertainties and unknowns about SARS-CoV-2 and the disease it causes, called coronavirus disease (COVID-19). Although COVID-19 is known as a respiratory disease, some atypical manifestations have been seen, different from those seen in other types of viral respiratory infections. This paper aims to describe designing, launching, and implementing a data collection system for all respiratory diseases, with a focus on SARS-CoV-2 from the onset of this pandemic. METHOD: The current registry is designed in compliance with the standard Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines, along with the declaration of Helsinki principles. RESULTS: A respiratory disease registry, with an emphasis on COVID-19 and other co-infections, was developed. Data consisted of demographic, clinical, and supporting information about SARS-CoV-2 and other respiratory viral diseases. CONCLUSION: It is hoped that the current data registry will facilitate patient evaluation and improve the outcomes of cases of respiratory infection defined by a particular condition, disease, or exposure. Moreover, the registry can harmonize data about the treatment, outcomes, and well-being of patients who receive care over time, and identify best practices.

Health human resources challenges during COVID-19 pandemic; evidence of a qualitative study in a developing country.

BACKGROUND: One of the main forthcoming challenges of healthcare systems against preparedness and management of the pandemic is the challenge of procurement and recruitment of the human resources. This study is aimed to explore the health human resources challenges during COVID-19 pandemic in Iran. METHODS: This qualitative content analysis study was conducted in 2020. The study population includes all the Iranian human resources managers affiliated in Universities of Medical Sciences, hospitals and health centers managers and the health networks managers all over the country. 23 participants were included via purposeful sampling considering the inclusion criteria and were interviewed individually. After 23 semi-structured interviews, data were saturated. Then the data were analyzed through content analysis approach applying MAXQDA10. RESULTS: Three main themes of "organizational challenges", "legal challenges", and "personal challenges" were explored as the main challenges of health human resources management during COVID-19. On the one hand, organizational challenges include restricted financial resources, compensation discrimination, staffing distinction points, imbalance in the workload, weak organizational coordination, inefficient inter-sectoral relationships, parallel decisions, inefficient distribution of the human resources, lack of applied education, lack of integrated health protocols, lack of appropriate evaluation of performance, employee turnover, lack of clear approaches for staffing, and shortage of specialized manpower, and on the other hand, the personal challenges include insufficient knowledge of the employees, psychological disorders, reduction of self-confidence, burnout, workload increase, reduced level of job satisfaction, effects of colleague and patients bereavement and unsafety sense against the work place. Finally, the legal challenges that mostly related to the governments laws and regulations include lack of protocols for continuous supportive services, inappropriate approaches and instructions for teleworking, and lack of alternative plans and regulations for the human resources. CONCLUSION: Organizational, legal and personal challenges are among three main challenges of health human resources management during COVID-19 pandemic. Serious attention to these challenges should be considered by health policymakers in order to be prepared for facing new probable outbreaks and managing the present condition. The integrated comprehensive planning of human resources management for COVID-19 along with supportive packages for the personnel can be helpful.

Burnout among Healthcare Providers of COVID-19; a Systematic Review of Epidemiology and Recommendations.

INTRODUCTION: In the current systematic review, we intended to systematically review the epidemiology of burnout and the strategies and recommendations to prevent or reduce it among healthcare providers (HCPs) of COVID-19 wards, so that policymakers can make more appropriate decisions. METHODS: MEDLINE (accessed from PubMed), Science Direct, and Scopus electronic databases were systematically searched in English from December 01, 2019 to August 15, 2020, using MESH terms and related keywords. After reading the title and the abstract, unrelated studies were excluded. The full texts of the studies were evaluated by authors, independently, and the quality of the studies was determined. Then, the data were extracted and reported. RESULTS: 12 studies were included. Five studies investigated the risks factors associated with burnout; none could establish a causal relationship because of their methodology. No study examined any intervention to prevent or reduce burnout, and the provided recommendations were based on the authors' experiences and opinions. None of the studies followed up the participants, and all assessments were done according to the participants' self-reporting and declaration. Assessing burnout in the HCPs working in the frontline wards was performed in four studies; others evaluated burnout among all HCPs working in the regular and frontline wards. CONCLUSION: Paying attention to the mental health issues, reducing the workload of HCPs through adjusting their work shifts, reducing job-related stressors, and creating a healthy work environment may prevent or reduce the burnout.

Prognosis and Long-Term Overall Survival in Hypertensive Patients Undergoing Chronic Hemodialysis: A Multicenter Parametric Mixture Split-Population Analysis.

BACKGROUND: Hemodialysis (HD) patients face long-term complications which require ongoing dialysis and follow-up. The management of hypertension among HD populations has often been neglected. This study aimed at identifying the determinants of death in hypertensive HD (HTN-HD) patients. METHODS: In a multicenter retrospective cohort study (conducted from 2005 to 2018 in thirty-four HD centers affiliated with Shiraz University of Medical Sciences), the data of 725 HTN-HD patients who had at least 3 months of regular dialysis and follow-up were analyzed. Accelerated failure time mixture split-population (AFTMSP) regression was utilized to identify the factors with significant effects on long- and short-term overall survival (OS) separately. RESULTS: Among the different AFTMSP models, the extended generalized gamma (EGG) model outperformed the others. Sex (male: event time ratio [ETR]=1.30), initial vascular access type (arteriovenous fistula: ETR=1.50), and the type of membrane flux used for HD (high-flux: ETR=1.27) had important impacts on short-term OS. Moreover, age (OR=1.06), dialysis adequacy (Kt/ Vurea≤1.2: OR=2.30), initial vascular access type (central venous catheter: OR=2.08), serum sodium (OR=0.90) concentration, and potassium (OR=0.66) concentration had significant effects on long-term OS. CONCLUSION: The split-population analyses were able to demonstrate that the predictors of long-term OS were different from those of short-term OS. Although the superiority of the parametric EGG model was proved in this study, further research with different databases is suggested. Moreover, these findings can be considered by health policy decision-makers to create a new guideline to enhance the long-term OS of HTN-HD patients.

Bacterial sepsis: challenges of diagnosis and treatment in a teaching hospital southwest of iran.

BACKGROUND: Management of bacterial sepsis as a common cause of hospitalization and a life threatening clinical syndrome is a challenge. In previous studies, incorrect diagnosis of sepsis and unnecessary treatment have been frequently reported. OBJECTIVES: The aim of this study was to evaluate the diagnosis and treatment of cases with a primary diagnosis of sepsis. PATIENTS AND METHODS: Of 410 medical files of patients with primary diagnosis of bacterial sepsis, 187 fulfilled our criteria and were enrolled in the study. The study was conducted in Razi Hospital of Ahvaz, southwest Iran, from 2009 to 2011. Data included demographic characteristics, underlying disease, clinical symptoms, laboratory and imaging findings, administrated antibacterial drugs, and nurses and doctors-analyzed notes. For evaluation of the diagnosis, patients were divided to two groups, sepsis group and pseudosepsis group, and for evaluation of the treatment, patients were categorized in appropriate and inappropriate treatment groups and compared using SSPS software version 16 by chi-square and fisher exact tests. P-values less than 0.05 were considered significant. RESULTS: Out of 187 cases, 61 were in the intensive care unit (ICU), 98 in the infectious disease ward, and 28 in the internal medicine ward. Correct diagnosis of sepsis in the ICU, internal and infectious diseases wards were made in 16 (26.2%), 4 (14.3%) and 71 (72.4%) cases, respectively. Appropriate treatments for sepsis in the ICU, internal and infectious wards were applied in 12 (19.7%), 3 (10.7%) and 61 (78.2%) cases, respectively. Ninety-one patients (48.6%) were diagnosed correctly (true sepsis) and 76 (40.6%) were treated with proper regimes. CONCLUSIONS: Inappropriate and unnecessary use of antibiotics by patients with preliminary diagnosis of sepsis in our hospital, similar to other parts of the world, was high.

Comparison of General Well-being of Patients Undergoing Methadone Maintenance Therapy (MMT) with Patients Undergoing Naltrexone Therapy.

BACKGROUND: Drug abuse is a problem that causes a wide array of social, emotional, and physical problems and involves both patients and the society. Helping the addicted has always been a priority for physicians and especially psychiatrists. The purpose of this prospective study was to compare the effects of methadone and naltrexone in general well-being of patients undergoing these treatments. METHODS: Forty-six patients who were taking either methadone or naltrexone were selected and evaluated for a period of 5 months using a 28-item questionnaire about their general health. RESULTS: In spite of the fact that patients undergoing methadone treatment had more severe symptoms and prognoses regarding their age, duration of drug abuse, and number of treatment attempts, these patients showed better general health and social functioning comparing to patients undergoing naltrexone treatment during the 6-month period of this study (P<0.000). CONCLUSION: Methadone might be regarded as an effective and useful medicine in treatment of addiction.

Dietary diversity and its related factors among adolescents: a survey in Ahvaz-Iran.

INTRODUCTION: Healthy growth and development essentially need a balanced diet of nutrients and vitamins which includes a variety of foods from different food groups. The primary aim of this study was to assess the dietary diversity (DD) and its related factors among adolescents' high school girls in Ahvaz-Iran. METHODOLOGY: This was a cross-sectional study which it was structured based on the WHO & FAO's dietary diversity questionnaire. The study population consisted of 506 high school girls aged 15 to 18. Data about diet, socio-demographic and anthropometric characteristics were gathered. A dietary diversity score (DDS) and anthropometric of girls were measured. The relation of DDS with anthropometric measures and economic situation were assessed. RESULTS: The mean DDS was 6.81±1.75. A total of 18.85% and 8.3% of participants were overweight and obese respectively. In participants with scores ? six, Body Mass Index, waist circumference and waist-hip ratio were slightly greater than in individuals with scores less than six, however it was not significant except for waist hip ratio. The Logistic Regression showed that; weak economical situation was a risk for poor DDS (OR= 3.5, CI= 1.06-10.6, p=0.03). CONCLUSION: The FAO's third version of guidelines is a good indicator for measuring DDS. The results of this study indicate that high school girls' knowledge and practice about dietary diversity are not good and need to be improved by educational classes.