Background: The world urgently requires surrogate markers to diagnose COVID-19 and predict its progression. The severity is not easily predicted via currently used biomarkers. Critical COVID‐19 patients need to be screened for hyperinflammation to improve mortality but expensive cytokine measurement is not routinely conducted in most laboratories. The neutrophil-to-lymphocyte ratio (NLR) is a novel biomarker in patients with various diseases. We evaluated the diagnostic and prognostic accuracy of the NLR in COVID-19 patients. Methods: We searched for relevant articles in seven databases. The quantitative analysis was conducted if at least two studies were evaluating the NLR role in COVID-19. Results: We included 8,120 individuals, including 7,482 COVID-19 patients, from 32 articles. Patients with COVID-19 had significantly higher levels of NLR compared to negative individuals. Advanced COVID-19 stages had significantly higher levels of NLR than earlier stages. Expert Opinion: We found significantly higher levels of NLR in advanced stages compared to earlier stages of COVID-19 with good accuracy to diagnose and predict the disease outcome, especially mortality prediction. A close evaluation of critical SARS-CoV-2 patients and efficient early management are essential measures to decrease mortality. NLR could help in assessing the resource allocation in severe COVID-19 patients even in restricted settings.
Objectives: Tracheostomy is a very common clinical intervention in critically ill adult patients. The indications for tracheostomy procedures in pediatric patients with complex conditions have increased dramatically in recent years, but there are currently no guidelines on the optimal timing of tracheostomy in pediatric patients undergoing prolonged ventilation. Data Sources: We performed a systematic search of the existing literature in MEDLINE via PubMed and Embase databases and the Cochrane Library to identify clinical trials, observational studies, and cohort studies that compare early and late tracheostomy in children. The date of the last search was August 27, 2018. Included articles were subjected to manual searching. Study Selection: Studies in mechanically ventilated children that compared early with late tracheostomy were included. Data Extraction: Data were extracted into a spreadsheet and copied into Review Manager 5.3 (The Cochrane Collaboration, Copenhagen, Denmark). Data Synthesis: Data were meta-analyzed using an inverse variance, random effects model. Continuous outcomes were calculated as mean differences with 95% CIs, and dichotomous outcomes were calculated as Mantel-Haenszel risk ratios with 95% CIs. We included eight studies (10 study arms). These studies were all retrospective cohort studies. Early tracheostomy was associated with significant reductions in mortality, days on mechanical ventilation, and length of intensive care and total hospital stay, although the lack of randomized, controlled trials limits the validity of these findings. Although variance was imputed for some studies, these conclusions did not change after removing these studies from the analysis. Conclusions: In children on mechanical ventilation, early tracheostomy may improve important medical outcomes. However, our data demonstrate the urgent need for high-quality, randomized controlled trials in the pediatric population.
BACKGROUND: Although invasive monitoring is the standard method for intracranial pressure (ICP) measurement, it is not without potential for serious complications. Noninvasive methods have been proposed as alternatives to invasive ICP monitoring. The study aimed to investigate the diagnostic accuracy of the currently available noninvasive methods for intracranial hypertension (ICH) monitoring. METHODS: We searched 5 databases for articles evaluating the diagnostic accuracy of noninvasive methods in diagnosing ICH in PubMed, Institute of Science Index, Scopus, Cochrane Central Register of Controlled Trials (CENTRAL), and Embase. The quantitative analysis was conducted if there were at least 2 studies evaluating a specific method. The accuracy measures included the sensitivity, specificity, likelihood ratios, and diagnostic odds ratio. RESULTS: We included 134 articles. Ultrasonographic optic nerve sheath diameter (US ONSD) had high diagnostic accuracy (estimated sensitivity of 90%; 95% confidence interval [CI], 87–92, estimated specificity of 88%; 95% CI, 84–91) while the magnetic resonance imaging (MRI) ONSD had estimated sensitivity of 77%; 95% CI, 64–87 and estimated specificity of 89%; 95% CI, 84–93, and computed tomography (CT) ONSD had estimated sensitivity of 93%; 95% CI, 90–96 and estimated specificity of 79%; 95% CI, 56–92. All MRI signs had a very high estimated specificity ranging from 90% to 99% but a low estimated sensitivity except for sinus stenosis which had high estimated sensitivity as well as specificity (90%; 95% CI, 75–96 and 96%; 95% CI, 91–99, respectively). Among the physical examination signs, pupillary dilation had a high estimated specificity (86%; 95% CI, 76–93). Other diagnostic tests to be considered included pulsatility index, papilledema, transcranial Doppler, compression or absence of basal cisterns, and ≥10 mm midline shift. Setting the cutoff value of ICH to ≥20 mm Hg instead of values <20 mm Hg was associated with higher sensitivity. Moreover, if the delay between invasive and noninvasive methods was within 1 hour, the MRI ONSD and papilledema had a significantly higher diagnostic accuracy compared to the >1 hour subgroup. CONCLUSIONS: Our study showed several promising tools for diagnosing ICH. Moreover, we demonstrated that using multiple, readily available, noninvasive methods is better than depending on a single sign such as physical examination or CT alone.
SARS-CoV-2 currently lacks effective first-line drug treatment. We present promising data from in silico docking studies of new Methisazone compounds (modified with calcium, Ca; iron, Fe; magnesium, Mg; manganese, Mn; or zinc, Zn) designed to bind more strongly to key proteins involved in replication of SARS-CoV-2. In this in silico molecular docking study, we investigated the inhibiting role of Methisazone and the modified drugs against SARS-CoV-2 proteins: ribonucleic acid (RNA)-dependent RNA polymerase (RdRp), spike protein, papain-like protease (PlPr), and main protease (MPro). We found that the highest binding interactions were found with the spike protein (6VYB), with the highest overall binding being observed with Mn-bound Methisazone at −8.3 kcal/mol, followed by Zn and Ca at −8.0 kcal/mol, and Fe and Mg at −7.9 kcal/mol. We also found that the metal-modified Methisazone had higher affinity for PlPr and MPro. In addition, we identified multiple binding pockets that could be singly or multiply occupied on all proteins tested. The best binding energy was with Mn–Methisazone versus spike protein, and the largest cumulative increases in binding energies were found with PlPr. We suggest that further studies are warranted to identify whether these compounds may be effective for treatment and/or prophylaxis.
Objectives: This study retrospectively applied Wells’ score and YEARS algorithm to the same sample of patients to evaluate the predictive performance of each when compared with the gold standard CT pulmonary angiography. Design: Retrospective analytical study. Setting: A tertiary University Hospital in Ireland. Patients: Data from 794 patients who underwent CT pulmonary angiography to rule out pulmonary embolism. Interventions: Patients were analyzed using retrospective application of both Wells’ score and YEARS algorithm. Sensitivity, specificity, and diagnostic odds ratio were calculated and compared. Measurements and Main Results: Of 794 scans, 78 (9.8%) were positive for pulmonary embolism. The YEARS algorithm was more sensitive than the Wells’ score (97.44% vs 74.36%) but was less specific (13.97% vs 33.94%). Furthermore, the diagnostic odds ratio of YEARS was higher than Wells’ score (6.27 vs 1.48). YEARS provides better negative predictive value (98% vs 92.4%), and both scores have poor positive predictive value (10.9%). Conclusions: Both scores successfully exclude pulmonary embolism, although YEARS has a better negative predictive value. Both exhibit poor positive predictive value.
the manuscript, references should be cited using Arabic numbers in parentheses. The reference styles for different types of publications are presented in the following examples.
Background: Noise and distraction are recognized as contributing factors in critical incidents associated with surgery and anesthesia. In addition, excessive noise exposure can have negative effects on patients and staff members in these environments. Aims: We aimed to quantify noise exposure of the anesthesiology team and patients in pediatric operating theaters, comparing them to adult studies, internationally recognized standards, and identifying factors contributing to noise and/or distraction. Methods: We measured noise levels during three phases of anesthesia (pre-induction, induction, and postinduction/maintenance) and recorded additional environmental sources of distraction and noise. Results: We included 49 theater cases. The median and interquartile range (IQR) of mean noise levels during pre-induction, induction, and maintenance were 61 (59.7-63.5), 61.9 (60.6-63.3), and 61.6 (60.4-63.7) dB, respectively, while the median (IQR) of maximal noise levels was 81.4 (77.3-86.8), 83.7 (78.5-87.4), and 86.3 (84.6-90.4), respectively. There was an average of 8.3 people present in the room during induction. In 23 cases, there were additional unnecessary conversations occurring within the room at induction. We noted the maintenance phase was the noisiest phase of anesthesia. We recorded frequent potential sources of distraction during pre-induction and induction, though no significant correlations between these distractions and recorded noise levels. Conclusions: We documented noise levels well above recommended levels during all phases of pediatric anesthesia. We highlighted factors with potential to contribute to noise and distraction but found no statistically significant correlation with noise levels.
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