Evolving Epidemiology of Pediatric Respiratory Syncytial Virus (RSV) Cases Around COVID-19 Pandemic: Impact and Clinical Insights, Retrospective Cohort Study.

BACKGROUND: The burden of respiratory syncytial virus (RSV) in high-risk pediatric patients remains unclear. Therefore, this study aims to characterize pediatric RSV cases from January 2019 to December 2022 and assess the impact of the COVID-19 pandemic on RSV burden and RSV-related outcomes. In addition, examining factors influencing RSV-related hospitalization. METHODS: This is a retrospective study that included pediatric patients (aged 14 and below) who presented at King Faisal Specialist Hospital and Research Centre (KFSHRC) in Riyadh, Saudi Arabia with RSV infection identified using real-time reverse-transcriptase polymerase chain reaction assays. Statistical analyses were performed using STATA. RESULTS: A total of 885 RSV cases were reported; (56.05%) were males and (43.95%) were females with a median age of 24 months [interquartile range (IQR): 11-60]. 534 (60.34%) required hospitalization. As for RSV seasonality, there was a significant increase in RSV prevalence following the COVID-19 pandemic, escalating from 205 cases in 2019 to 425 cases in 2022. The increase in 2022 was evident in January and persisted from September to December, reaching its peak during the months of October (20.70% - 88 cases) and November (32.00% - 136 cases). About (27.12%) of RSV infected children were medically free patients. Symptomatic patients exhibited various clinical manifestations, with ventilation necessary in (13.11%) of cases. Further analysis revealed significant changes in RSV-related outcomes post-COVID-19, including a decrease in hospitalization rates, an increase in medically free patients, and a lower need for ventilation (p < 0.05). Notably, a significant proportion of RSV admissions occurred within the first 6 months of life, with (77.69%) in the age group of 0 to 5 months. In addition, previous RSV infection, prematurity, low birth weight, renal disease, congenital heart disease, endocrine/metabolic disease, neuro/neuromuscular diseases, and genetic disorders were positively associated with hospitalization (P < 0.05). Interestingly, asthma and bone marrow transplantation were negatively associated with hospitalization (P < 0.05). The mortality rate in this study is (2.37%) (21/885). CONCLUSION: This study provides a comprehensive understanding of the demographic and clinical factors influencing RSV outcomes, highlighting the impact of the COVID-19 pandemic and shedding light on potential risk factors for RSV-related hospitalization. The highest prevalence of RSV during (September to January), aligning with global patterns and emphasizing the importance of timing in preventive strategies.

Omicron variants of SARS-CoV-2: Epidemiological and clinical insights from a tertiary care center in Saudi Arabia.

BACKGROUND: The actual burden of the Omicron variants remains unclear. Therefore, this study aims to analyze the epidemiological and clinical features of Omicron-infected patients and investigate factors influencing hospital admission. METHODS: This retrospective single-center study included individuals with positive SARS-CoV-2 infection, specifically the Omicron variants (XBB, EG or JN), identified through real-time reverse-transcriptase polymerase chain reaction assays from January 2022 to December 2023. RESULTS: A total of 305 Omicron-infected patients were included; (53.11 %) were females and (46.89 %) were males, with a median age of 39 years [interquartile range (IQR): 30, 53]. Underlying diseases, including endocrine/metabolic disorders (22.30 %), hypertension (12.79 %), chronic respiratory disease (10.49 %), and malignancy (9.18 %) were prevalent, while (40.98 %) were medically free. The XBB variant was predominant (73.11 %), followed by JN (20.33 %), and EG variant (6.56 %). The seasonality analysis demonstrates XBB variants' domination in 2022, with a surge to 40 cases in December. The trend continued in 2023, peaking at 76 XBB cases in March. May 2023 reported 38 XBB cases and the emergence of 17 EG instances. Notably, in December, only one XBB case was reported, and 62 instances emerged with the JN variant. Overall, 233 out of 305 cases were reported during flu season (September to March) (76.39 %). Moreover, hospitalization occurred in (16.39 %), with a (1.31 %) mortality rate (all deaths in the JN variant). Multivariable analysis confirmed renal disease, chronic respiratory disease, endocrine/metabolism issues, and polymicrobial infection as positive predictors of hospitalization (p < 0.05). While COVID-19 vaccination significantly reduced hospitalization odds (Odds Ratio: 0.20, p = 0.001). CONCLUSIONS: These findings contribute valuable insights into Omicron epidemiology and factors influencing hospitalization. The dynamic fluctuations in Omicron variants, particularly XBB, EG, and JN, over 2022 and 2023, with JN emerging as the dominant circulating variant globally, underscore the need for continuous vigilance and urgency for updated vaccine formulations.

Intravenous Diltiazem Versus Metoprolol in Acute Rate Control of Atrial Fibrillation/Flutter and Rapid Ventricular Response: A Meta-Analysis of Randomized and Observational Studies.

BACKGROUND: Atrial fibrillation (AF) and/or atrial flutter (AFL) with rapid ventricular response (RVR) is a condition that often requires urgent treatment. Although guidelines have recommendations regarding chronic rate control therapy, recommendations on the best choice for acute heart rate (HR) control in RVR are unclear. METHODS: A systematic search across multiple databases was performed for studies evaluating the outcome of HR control (defined as HR less than 110 bpm and/or 20% decrease from baseline HR). Included studies evaluated AF and/or AFL with RVR in a hospital setting, with direct comparison between intravenous (IV) diltiazem and metoprolol and excluded cardiac surgery and catheter ablation patients. Hypotension (defined as systolic blood pressure less than 90 mmHg) was measured as a secondary outcome. Two authors performed full-text article review and extracted data, with a third author mediating disagreements. Random effects models utilizing inverse variance weighting were used to calculate odds ratios (OR) and 95% confidence intervals (CI). Heterogeneity was assessed using the I2 test. RESULTS: A total of 563 unique titles were identified through the systematic search, of which 16 studies (7 randomized and 9 observational) were included. In our primary analysis of HR control by study type, IV diltiazem was found to be more effective than IV metoprolol for HR control in randomized trials (OR 4.75, 95% CI 2.50-9.04 with I2 = 14%); however, this was not found for observational studies (OR 1.26, 95% CI 0.89-1.80 with I2 = 55%). In an analysis of observational studies, there were no significant differences between the two drugs in odds of hypotension (OR 1.12, 95% CI 0.51-2.45 with I2 = 18%). CONCLUSION: While there was a trend toward improved HR control with IV diltiazem compared with IV metoprolol in randomized trials, this was not seen in observational studies, and there was no observed difference in hypotension between the two drugs.

The effectiveness of COVID-19 vaccine in the prevention of post-COVID conditions: a systematic literature review and meta-analysis of the latest research.

Objective: We performed a systematic literature review and meta-analysis on the effectiveness of coronavirus disease 2019 (COVID-19) vaccination against post-COVID conditions (long COVID) among fully vaccinated individuals. Design: Systematic literature review/meta-analysis. Methods: We searched PubMed, Cumulative Index to Nursing and Allied Health, EMBASE, Cochrane Central Register of Controlled Trials, Scopus, and Web of Science from December 1, 2019, to June 2, 2023, for studies evaluating the COVID-19 vaccine effectiveness (VE) against post-COVID conditions among fully vaccinated individuals who received two doses of COVID-19 vaccine. A post-COVID condition was defined as any symptom that was present four or more weeks after COVID-19 infection. We calculated the pooled diagnostic odds ratio (DOR) (95% confidence interval) for post-COVID conditions between fully vaccinated and unvaccinated individuals. Vaccine effectiveness was estimated as 100% x (1-DOR). Results: Thirty-two studies with 775,931 individuals evaluated the effect of vaccination on post-COVID conditions, of which, twenty-four studies were included in the meta-analysis. The pooled DOR for post-COVID conditions among fully vaccinated individuals was 0.680 (95% CI: 0.523-0.885) with an estimated VE of 32.0% (11.5%-47.7%). Vaccine effectiveness was 36.9% (23.1%-48.2%) among those who received two doses of COVID-19 vaccine before COVID-19 infection and 68.7% (64.7%-72.2%) among those who received three doses before COVID-19 infection. The stratified analysis demonstrated no protection against post-COVID conditions among those who received COVID-19 vaccination after COVID-19 infection. Conclusions: Receiving a complete COVID-19 vaccination prior to contracting the virus resulted in a significant reduction in post-COVID conditions throughout the study period, including during the Omicron era. Vaccine effectiveness demonstrated an increase when supplementary doses were administered.

Assessing the Precision of Surgery Duration Estimation: A Retrospective Study.

Background and Objectives: The operating room (OR) is considered the highest source of cost and earnings. Therefore, measuring OR efficiency, which means how time and resources are allocated precisely for their intended purposes in the operating room is crucial. Both overestimation and underestimation negatively impact OR efficiency Therefore, hospitals defined metrics to Measuring OR Effeciency. Many studies have discussed OR efficiency and how surgery scheduling accuracy plays a vital role in increasing OR efficiency. This study aims to evaluate OR efficiency using surgery duration accuracy. Methods: This retrospective, quantitative study was conducted at King Abdulaziz Medical City. We extracted data on 97,397 surgeries from 2017 to 2021 from the OR database. The accuracy of surgery duration was identified by calculating the duration of each surgery in minutes by subtracting the time of leaving the OR from the time of entering the OR. Based on the scheduled duration, the calculated durations were categorized as either underestimation or overestimation. Descriptive and bivariate analyses (Chi-square test) were performed using the Statistical Package for the Social Sciences (SPSS) software. Results: Sixty percent out of the 97,397 surgeries performed were overestimated compared to the time scheduled by the surgeons. Patient characteristics, surgical division, and anesthesia type showed statistically significant differences (p <0.05) in their OR estimation. Conclusion: Significant proportion of procedures have overestimated. This finding provides insight into the need for improvement. Recommendations: It is recommended to enhance the surgical scheduling method using machine learning (ML) models to include patient characteristics, department, anesthesia type, and even the performing surgeon increases the accuracy of duration estimation. Then, evaluate the performance of an ML model in future studies.

Coronavirus disease 2019 (COVID-19) among nonphysician healthcare personnel by work location at a tertiary-care center, Iowa, 2020-2021.

We describe COVID-19 cases among nonphysician healthcare personnel (HCP) by work location. The proportion of HCP with coronavirus disease 2019 (COVID-19) was highest in the emergency department and lowest among those working remotely. COVID-19 and non-COVID-19 units had similar proportions of HCP with COVID-19 (13%). Cases decreased across all work locations following COVID-19 vaccination.

The effectiveness of coronavirus disease 2019 (COVID-19) vaccine in the prevention of post-COVID-19 conditions: A systematic literature review and meta-analysis.

Background: Although multiple studies have revealed that coronavirus disease 2019 (COVID-19) vaccines can reduce COVID-19-related outcomes, little is known about their impact on post-COVID-19 conditions. We performed a systematic literature review and meta-analysis on the effectiveness of COVID-19 vaccination against post-COVID-19 conditions (ie, long COVID). Methods: We searched PubMed, CINAHL, EMBASE, Cochrane Central Register of Controlled Trials, Scopus, and Web of Science from December 1, 2019, to April 27, 2022, for studies evaluating COVID-19 vaccine effectiveness against post-COVID-19 conditions among individuals who received at least 1 dose of Pfizer/BioNTech, Moderna, AstraZeneca, or Janssen vaccine. A post-COVID-19 condition was defined as any symptom that was present 3 or more weeks after having COVID-19. Editorials, commentaries, reviews, study protocols, and studies in the pediatric population were excluded. We calculated the pooled diagnostic odds ratios (DORs) for post-COVID-19 conditions between vaccinated and unvaccinated individuals. Vaccine effectiveness was estimated as 100% × (1 - DOR). Results: In total, 10 studies with 1,600,830 individuals evaluated the effect of vaccination on post-COVID-19 conditions, of which 6 studies were included in the meta-analysis. The pooled DOR for post-COVID-19 conditions among individuals vaccinated with at least 1 dose was 0.708 (95% confidence interval (CI), 0.692-0.725) with an estimated vaccine effectiveness of 29.2% (95% CI, 27.5%-30.8%). The vaccine effectiveness was 35.3% (95% CI, 32.3%-38.1%) among those who received the COVID-19 vaccine before having COVID-19, and 27.4% (95% CI, 25.4%-29.3%) among those who received it after having COVID-19. Conclusions: COVID-19 vaccination both before and after having COVID-19 significantly decreased post-COVID-19 conditions for the circulating variants during the study period although vaccine effectiveness was low.

The long-term effectiveness of coronavirus disease 2019 (COVID-19) vaccines: A systematic literature review and meta-analysis.

Background: Although multiple studies revealed high vaccine effectiveness of coronavirus disease 2019 (COVID-19) vaccines within 3 months after the completion of vaccines, long-term vaccine effectiveness has not been well established, especially after the δ (delta) variant became prominent. We performed a systematic literature review and meta-analysis of long-term vaccine effectiveness. Methods: We searched PubMed, CINAHL, EMBASE, Cochrane Central Register of Controlled Trials, Scopus, and Web of Science from December 2019 to November 15, 2021, for studies evaluating the long-term vaccine effectiveness against laboratory-confirmed COVID-19 or COVID-19 hospitalization among individuals who received 2 doses of Pfizer/BioNTech, Moderna, or AstraZeneca vaccines, or 1 dose of the Janssen vaccine. Long-term was defined as >5 months after the last dose. We calculated the pooled diagnostic odds ratio (DOR) with 95% confidence interval for COVID-19 between vaccinated and unvaccinated individuals. Vaccine effectiveness was estimated as 100% × (1 - DOR). Results: In total, 16 studies including 17,939,172 individuals evaluated long-term vaccine effectiveness and were included in the meta-analysis. The pooled DOR for COVID-19 was 0.158 (95% CI: 0.157-0.160) with an estimated vaccine effectiveness of 84.2% (95% CI, 84.0- 84.3%). Estimated vaccine effectiveness against COVID-19 hospitalization was 88.7% (95% CI, 55.8%-97.1%). Vaccine effectiveness against COVID-19 during the δ variant period was 61.2% (95% CI, 59.0%-63.3%). Conclusions: COVID-19 vaccines are effective in preventing COVID-19 and COVID-19 hospitalization across a long-term period for the circulating variants during the study period. More observational studies are needed to evaluate the vaccine effectiveness of third dose of a COVID-19 vaccine, the vaccine effectiveness of mixing COVID-19 vaccines, COVID-19 breakthrough infection, and vaccine effectiveness against newly emerging variants.

Short-term effectiveness of COVID-19 vaccines in immunocompromised patients: A systematic literature review and meta-analysis.

OBJECTIVES: We aimed to assess the short-term effectiveness of COVID-19 vaccines among immunocompromised patients to prevent laboratory-confirmed symptomatic COVID-19 infection. METHODS: Systematic review and meta-analysis. We calculated the pooled diagnostic odds ratio [DOR] (95% CI) for COVID-19 infection between immunocompromised patients and healthy people or those with stable chronic medical conditions. VE was estimated as 100% x (1-DOR). We also investigated the rates of developing anti-SARS-CoV-2 spike protein IgG between the 2 groups. RESULTS: Twenty studies evaluating COVID-19 vaccine response, and four studies evaluating VE were included in the meta-analysis. The pooled DOR for symptomatic COVID-19 infection in immunocompromised patients was 0.296 (95% CI: 0.108-0.811) with an estimated VE of 70.4% (95% CI: 18.9%- 89.2%). When stratified by diagnosis, IgG antibody levels were much higher in the control group compared to immunocompromised patients with solid organ transplant (pOR 232.3; 95% Cl: 66.98-806.03), malignant diseases (pOR 42.0, 95% Cl: 11.68-151.03), and inflammatory rheumatic diseases (pOR 19.06; 95% Cl: 5.00-72.62). CONCLUSIONS: We found COVID-19 mRNA vaccines were effective against symptomatic COVID-19 among the immunocompromised patients but had lower VE compared to the controls. Further research is needed to understand the discordance between antibody production and protection against symptomatic COVID-19 infection.

Impact of COVID-19 on an infection prevention and control program, Iowa 2020-2021.

BACKGROUND: The COVID-19 pandemic has affected infection prevention and control (IPC) programs worldwide. We evaluated the impact of COVID-19 on the University of Iowa Hospitals & Clinics IPC program by measuring the volume of calls to the program, changes in healthcare-associated infection rates, and team member perceptions. METHODS: We retrieved the IPC call log and healthcare-associated infection trends for 2018-2020. We defined 2 periods: pre-COVID-19 (2018-2019) and COVID-19 (January-December 2020). We also conducted one-on-one interviews and focus group interviews with members of the IPC program and describe changes in their working conditions during the COVID-19 period. RESULTS: A total of 6,564 calls were recorded during 2018-2020. The pre-COVID-19 period had a median of 71 calls and/or month (range: 50-119). During the COVID-19 period, the median call volume increased to 368/month (range: 149-829), and most calls were related to isolation precautions (50%). During the COVID-19 period, the central line-associated bloodstream infection incidence increased significantly. Infection preventionists reported that the ambiguity and conflicting guidance during the pandemic were major challenges. CONCLUSIONS: Our IPC program experienced a 500% increase in consultation requests. Planning for future bio-emergencies should include creative strategies to increase response capacity within IPC programs.

Performance Analysis of Bloom Filter for Big Data Analytics.

The rapid rise of data value, such as social media and mobile applications, results in large volumes of data, which is what the term "big data" refers to. The increased rate of data growth makes handling big data very challenging. Despite a Bloom filter (BF) technique having previously been proposed as a space-and-time efficient probabilistic method, this proposal has not yet been evaluated in terms of big data. This study, thus, evaluates the BF technique by conducting an experimental study with a large amount of data. The results revealed that BF overcomes the efficiency not present in the space-and-time of indexing and examining big data. Moreover, to address the increase of false-positive rate in using BF with big data, a novel false-positive rate reduction approach is proposed in this paper. The initial experimental results of evaluating this method are very promising. The novel approach helped to reduce the false-positive rate by more than 70%.

Coronavirus disease 2019 (COVID-19) admission screening and assessment of infectiousness at an academic medical center in Iowa, 2020.

OBJECTIVE: Patients admitted to the hospital may unknowingly carry severe acute respiratory coronavirus virus 2 (SARS-CoV-2), and hospitals have implemented SARS-CoV-2 admission screening. However, because SARS-CoV-2 reverse-transcription polymerase chain reaction (RT-PCR) assays may remain positive for months after infection, positive results may represent active or past infection. We determined the prevalence and infectiousness of patients who were admitted for reasons unrelated to COVID-19 but tested positive for SARS-CoV-2 on admission screening. METHODS: We conducted an observational study at the University of Iowa Hospitals & Clinics from July 7 to October 25, 2020. All patients admitted without suspicion of COVID-19 were included, and medical records of those with a positive admission screening test were reviewed. Infectiousness was determined using patient history, PCR cycle threshold (Ct) value, and serology. RESULTS: In total, 5,913 patients were screened and admitted for reasons unrelated to COVID-19. Of these, 101 had positive admission RT-PCR results; 36 of these patients were excluded because they had respiratory signs/symptoms on admission on chart review. Also, 65 patients (1.1%) did not have respiratory symptoms. Finally, 55 patients had Ct values available and were included in this analysis. The median age of the final cohort was 56 years and 51% were male. Our assessment revealed that 23 patients (42%) were likely infectious. The median duration of in-hospital isolation was 5 days for those likely infectious and 2 days for those deemed noninfectious. CONCLUSIONS: SARS-CoV-2 was infrequent among patients admitted for reasons unrelated to COVID-19. An assessment of the likelihood of infectiousness using clinical history, RT-PCR Ct values, and serology may help in making the determination to discontinue isolation and conserve resources.

Positive deviance in infection prevention and control: A systematic literature review.

BACKGROUND: Healthcare-associated infections (HAIs) remain a major challenge. Various strategies have been tried to prevent or control HAIs. Positive deviance, a strategy that has been used in the last decade, is based on the observation that a few at-risk individuals follow uncommon, useful practices and that, consequently, they experience better outcomes than their peers who share similar risks. We performed a systematic literature review to measure the impact of positive deviance in controlling HAIs. METHODS: A systematic search strategy was used to search PubMed, CINAHL, Scopus, and Embase through May 2020 for studies evaluating positive deviance as a single intervention or as part of an initiative to prevent or control healthcare-associated infections. The risk of bias was evaluated using the Downs and Black score. RESULTS: Of 542 articles potentially eligible for review, 14 articles were included for further analysis. All studies were observational, quasi-experimental (before-and-after intervention) studies. Hand hygiene was the outcome in 8 studies (57%), and an improvement was observed in association with implementation of positive deviance as a single intervention in all of them. Overall HAI rates were measured in 5 studies (36%), and positive deviance was associated with an observed reduction in 4 (80%) of them. Methicillin-resistant Staphylococcus aureus infections were evaluated in 5 studies (36%), and positive deviance containing bundles were successful in all of them. CONCLUSIONS: Positive deviance may be an effective strategy to improve hand hygiene and control HAIs. Further studies are needed to confirm this effect.

Coronavirus disease 2019 (COVID-19) incidence after exposures in shared patient rooms in a tertiary-care center in Iowa, July 2020-May 2021.

The incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure in shared patient rooms was low at our institution: 1.8 per 1,000 shared-room patient days. However, the secondary attack rate (21.6%) was comparable to that reported in household exposures. Lengthier exposures were associated with SARS-CoV-2 conversion. Hospitals should implement measures to decrease shared-room exposures.

Bat intrusions at a tertiary care center in Iowa, 2018-2020.

We described the epidemiology of bat intrusions into a hospital and subsequent management of exposures during 2018-2020. Most intrusions occurred in older buildings during the summer and fall months. Hospitals need bat intrusion surveillance systems and protocols for bat handling, exposure management, and intrusion mitigation.

Fine-Tuning Word Embeddings for Hierarchical Representation of Data Using a Corpus and a Knowledge Base for Various Machine Learning Applications.

Word embedding models have recently shown some capability to encode hierarchical information that exists in textual data. However, such models do not explicitly encode the hierarchical structure that exists among words. In this work, we propose a method to learn hierarchical word embeddings (HWEs) in a specific order to encode the hierarchical information of a knowledge base (KB) in a vector space. To learn the word embeddings, our proposed method considers not only the hypernym relations that exist between words in a KB but also contextual information in a text corpus. The experimental results on various applications, such as supervised and unsupervised hypernymy detection, graded lexical entailment prediction, hierarchical path prediction, and word reconstruction tasks, show the ability of the proposed method to encode the hierarchy. Moreover, the proposed method outperforms previously proposed methods for learning nonspecialised, hypernym-specific, and hierarchical word embeddings on multiple benchmarks.

Stable Clostridioides difficile infection rates after the discontinuation of ultraviolet light for terminal disinfection at a tertiary care center, Iowa 2019-2020.

We compared the incidence of Clostridioides difficile infection before and after the discontinuation of Ultraviolet light used in addition to bleach in terminal disinfection of hospital rooms. We found no difference in C. difficile infection rates but found a decreased turn over time. The benefit of Ultraviolet light may be diminished in hospitals with a high thoroughness of manual cleaning.

Peritonitis in children on peritoneal dialysis: 12 years of tertiary center experience.

BACKGROUND AND OBJECTIVE: Peritoneal dialysis (PD) associated peritonitis is the most common cause of morbidity, mortality, and treatment failure in patients undergoing PD. We aimed to identify the incidence, pathogens, antibiotic susceptibility, and the outcome of peritoneal dialysis (PD)-associated peritonitis in children. METHODS: Data from medical records of children who underwent PD between 2007 and 2018 in King Fahad Medical City were retrospectively collected. All children aged <14 years undergoing chronic PD were included. The demographic characteristics of patients, peritonitis rates, and clinical outcomes were collected. RESULTS: In total, 131 children [boys, 68 (51.9%)] underwent automated PD for 305 years. The most common age group was 6-12 years (61 patients, 46.6%). A total of 74.0% of patients were new to dialysis; 25.2% were transferred from hemodialysis. Peritonitis incidence was 0.6 episodes/patient-year. Gram-positive and -negative organisms were identified in 50.1% and 22% episodes, respectively, whereas cultures remained negative in 20.5% episodes. Coagulase-negative Staphylococcus was the most common isolated organism (22.1%), followed by methicillin-sensitive S. aureus (11.1%). Peritonitis was resolved in 153 (73.6%) episodes, whereas 52 (25.0%) episodes required removal through the catheter. The multivariate logistic regression analysis found the exit site infection to be a risk factor for catheter removal. Three (1.4%) episodes caused death due to peritonitis complicated by septic shock . CONCLUSIONS: Our data showed that the most common organisms causing peritonitis were similar to those reported in the previous international registry. The rate of peritonitis was high, but markedly improved in the past two years.