Intraoperative scrub nurse turnover in orthopaedic surgery procedures: An opportunity for improved operating room efficiency

BACKGROUND

Scrub nurses play a crucial role in facilitating orthopaedic surgeries, and thus intraoperative scrub nurse turnover may disrupt the workflow of the surgical team and prolong duration of surgery (DOS). The purpose of this study was to quantify the impact of intraoperative scrub nurse turnover on operative time of orthopaedic surgeries lasting less than 3h in duration.

METHODS

Prospectively collected databases from two institutions were retrospectively queried to identify all orthopaedic procedures of maximum mean duration of 180min from March 4th, 2018 to August 31st, 2022. Cases were divided into two groups, those with scrub nurse turnover and those without. Propensity score matching was conducted to match groups by surgeon, hospital, patient age, gender, and ASA classification. Unpaired t-tests were used to compare mean DOS for each surgical procedure. Average treatment effect on treated (ATET) with 95% confidence intervals (CIs) were calculated.

RESULTS

Scrub nurse turnover significantly prolonged DOS for both bone forearm facture open reduction and internal fixation (ORIF) (ATET=21.08, p=0.001), ankle ORIF (ATET=21.26, p<0.001), clavicle ORIF (ATET=16.16, p=0.028), femur intramedullary nail (ATET=11.52, p=0.003), rotator cuff repair (ATET=16.88, p<0.001), partial discectomy (ATET=10.52, p=0.001), total knee arthroplasty (TKA) (ATET=5.69, p<0.001), anterior total hip arthroplasty (THA) (ATET=8.80, p<0.001), lateral THA (ATET=7.02, p<0.001), and uncemented hip hemiarthroplasty (ATET=16.79, p=0.049).

CONCLUSION

Intraoperative scrub nurse turnover significantly prolongs surgical times in orthopaedic surgeries lasting up to 3h in duration. This highlights the importance of developing strategies to prevent intraoperative scrub nurse turnover to improve OR efficiency and decrease healthcare costs.

Digital imaging-in-flow (FlowCAM) and probabilistic machine learning to assess the sonolytic disinfection of cyanobacteria in sewage wastewater

Assessing the cyanobacteria disinfection in sewage and its compliance with international-standards requires determining the concentration and viability, which can be achieve using Imaging Flow Cytometry device called FlowCAM. The objective is to thoroughly investigate the sonolytic morphological changes and disinfection-performance towards toxic cyanobacteria existing in sewage using the FlowCAM. After optimizing the process conditions, over 80% decline in cyanobacterial cell counts was observed, accompanied by an additional 10-15% of cells exhibiting injuries, as confirmed through morphological investigation. Moreover, for the first time, the experimentally collected data was utilized to build deep-learning probabilistic-neural-networks (PNN) and natural-gradient-boosting (NGBoost) models for predicting disinfection efficiency and ABD area as target outputs. The findings suggest that the NGBoost model exhibited superior prediction performance for both targets, with high test coefficient of determination (R2 > 0.87) and lower test errors (RMSE < 7.10, MAE < 4.14). The confidence interval examination in NGBoost prediction performance showed a minute variation from the experimentally calculated values, suggesting a high accuracy in model prediction. Finally, SHAP analysis suggests the sonolytic time alone contributes around 50% to the cyanobacteria disinfection. Overall, the findings demonstrate the effectiveness of the FlowCAM device and the potential of machine-learning modeling in predicting disinfection outcomes.

Machine learning analysis to interpret the effect of the photocatalytic reaction rate constant (k) of semiconductor-based photocatalysts on dye removal

Photocatalytic reactions with semiconductor-based photocatalysts have been investigated extensively for application to wastewater treatment, especially dye degradation, yet the interactions between different process parameters have rarely been reported due to their complicated reaction mechanisms. Hence, this study aims to discern the impact of each factor, and each interaction between multiple factors on reaction rate constant (k) using a decision tree model. The dyes selected as target pollutants were indigo and malachite green, and 5 different semiconductor-based photocatalysts with 17 different compositions were tested, which generated 34 input features and 1527 data points. The Boruta Shapley Additive exPlanations (SHAP) feature selection for the 34 inputs found that 11 inputs were significantly important. The decision tree model exhibited for 11 input features with an R2 value of 0.94. The SHAP feature importance analysis suggested that photocatalytic experimental conditions, with an importance of 59%, was the most important input category, followed by atomic composition (39%) and physicochemical properties (2%). Additionally, the effects on k of the synergy between the metal cocatalysts and important experimental conditions were confirmed by two feature SHAP dependence plots, regardless of importance order. This work provides insight into the single and multiple factors that affect reaction rate and mechanism.

Transformer-based deep learning models for adsorption capacity prediction of heavy metal ions toward biochar-based adsorbents

Biochar adsorbents synthesized from food and agricultural wastes are commonly applied to eliminate heavy metal (HM) ions from wastewater. However, biochar's diverse characteristics and varied experimental conditions make the accurate estimation of their adsorption capacity (qe) challenging. Herein, various machine-learning (ML) and three deep learning (DL) models were built using 1518 data points to predict the qe of HM on various biochars. The recursive feature elimination technique with 28 inputs suggested that 14 inputs were significant for model building. FT-transformer with the highest test R2 (0.98) and lowest root mean square error (RMSE) (0.296) and mean absolute error (MAE) (0.145) outperformed various ML and DL models. The SHAP feature importance analysis of the FT-transformer model predicted that the adsorption conditions (72.12%) were more important than the pyrolysis conditions (25.73%), elemental composition (1.39%), and biochar's physical properties (0.73%). The two-feature SHAP analysis proposed the optimized process conditions including adsorbent loading of 0.25 g, initial concentration of 12 mg/L, and solution pH of 9 using phosphoric-acid pre-treated biochar synthesized from banana-peel with a higher O/C ratio. The t-SNE technique was applied to transform the 14-input matrix of the FT-Transformer into two-dimensional data. Finally, we outlined the study's environmental implications.

Impact of Seasonal Changes on Asthma Control in North-Western Nigeria

BACKGROUND

Asthma control is poor worldwide and is often affected by changes in environmental conditions. Effort to determine the cause of this heavy burden on patients and the healthcare system is crucial.

AIM

To determine the role of seasonal changes on asthma control in Sokoto, North-Western Nigeria.

METHODS

One hundred and one (101) patients with physician diagnosed asthma were consecutively recruited after obtaining informed consent. A structured researcher administered questionnaire was used as instrument of data collection and asthma control test questionnaire was also used to assess level of asthma control in each participant. Five items with a 4-week recall were assessed. Data for temperature, humidity, wind and rain was obtained from the Nigerian Meteorological Agency (NIMET), Sokoto. We computed frequency and level of asthma control with seasons of the year and weather variables.

RESULTS

One hundred and one patients comprising 71 females and 30 males with a mean age of 32.14 ± 10.68 years participated in the study. Level of asthma control was found to be poor among the participants with 41(40.6%) having very poorly controlled asthma, 30(29.7%) with not well controlled and 30(24.8%) well controlled asthma respectively. Among patients with very poorly controlled asthma, 22(48.9%) occurred during harmattan season and 14(31.1%) during rainy season. Weather parameters such as humidity shows significant relationship with asthma control (B= -0.504, P= 0.031, 95% CI [-0.012, -0.0253]).

CONCLUSION

The study shows that asthma control is poor among the participants and presentation with poor asthma control is more during harmattan season.

Long short-term memory models of water quality in inland water environments

Water quality is substantially influenced by a multitude of dynamic and interrelated variables, including climate conditions, landuse and seasonal changes. Deep learning models have demonstrated predictive power of water quality due to the superior ability to automatically learn complex patterns and relationships from variables. Long short-term memory (LSTM), one of deep learning models for water quality prediction, is a type of recurrent neural network that can account for longer-term traits of time-dependent data. It is the most widely applied network used to predict the time series of water quality variables. First, we reviewed applications of a standalone LSTM and discussed its calculation time, prediction accuracy, and good robustness with process-driven numerical models and the other machine learning. This review was expanded into the LSTM model with data pre-processing techniques, including the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise method and Synchrosqueezed Wavelet Transform. The review then focused on the coupling of LSTM with a convolutional neural network, attention network, and transfer learning. The coupled networks demonstrated their performance over the standalone LSTM model. We also emphasized the influence of the static variables in the model and used the transformation method on the dataset. Outlook and further challenges were addressed. The outlook for research and application of LSTM in hydrology concludes the review.

Impact of laparoscopic repair on type III/IV giant paraesophageal hernias: a single-center experience

PURPOSE

Giant paraesophageal hernia (GPEH) is a challenging problem for surgeons because of its high recurrence rate. This study was conducted to compare the outcomes in type IV vs. type III GPEHs after laparoscopic repair. Other outcomes included peri-operative morbidity and long-term quality of life.

METHODS

A retrospective analysis of 130 GPEH patients in a period between 2010 and 2019 underwent a tailored laparoscopic repair in our tertiary center with a minimum follow-up of 48 months. Operative steps included hernial sac excision, crural repair, relaxing incisions, and mesh cruroplasty with special indications.

RESULTS

The study enrolled 90 patients with type III and 40 patients with type IV GPEH. Type IV GPEH patients were older, more fragile, and scored worse on ASA classification, aside from having a more challenging surgical technique (wider crura, weaker muscles, increased need for release incisions, and mesh cruroplasty).Type IV GPEHs had a prolonged operative durations, and a higher conversion rate. Additionally, the same group showed increased morbidity, mortality, and re-operation rates. With a mean follow-up of 65 months (range 48-150 months), the incidence of recurrence was 20.7%, with an increased incidence in type IV GPEH (37.5% vs. 13.33% in type III GPEH). Type IV GPEH, low pre-operative albumin, larger crural defect, and low surgeon experience were significant risk factors for recurrence after laparoscopic repair of GPEH.

CONCLUSION

Type IV GPEH has a higher peri-operative morbidity and recurrence rate; so, a more tailored laparoscopic repair with a high surgeon experience is needed.

EVALUATION THE EFFECT OF THE ADDITION OF ZIRCONIUM OXIDE AND TITANIUM DIOXIDE NANOPARTICLES ON SHEAR BOND STRENGTHS OF ORTHODONTIC ADHESIVE: IN-VITRO STUDY

OBJECTIVES

the study aims to assess the shear bond strength of modified- 3M orthodontic adhesive Transbond™ XT with different concentrations of Titanium Dioxide and zirconium oxide nanoparticles. In a retrospective cross-sectional study a hundred sound-extracted human upper premolars were collected. 3M orthodontic adhesive Transbond™ XT was modified by (0,02%, 0.04%, and 0.06% Zirconium Oxide), and (0,02%, 0.04%, and 0.06% Titanium Dioxide) nanoparticles, and (0,02%, 0.04%, and 0.06% Zirconium Oxide and Titanium Dioxide). dentaurum discovery pearl ceramic bracket were bonded to buccal enamel surfaces of the samples of control and nine modified adhesive groups. At 24 h after bonding, shear bond strength was measured. Adhesive remnant index was scored under (10X) magnification power of stereomicroscope after de-bonding. The chemical characteristics of orthodontic adhesive material were explored before and after mixing with Titanium Dioxide and zirconium oxide nanoparticles by using FTIR. (Zirconium Oxide nanoparticles) group and combination (Zirconium Oxide and Titanium Dioxide nanoparticles) had a higher shear bond strength mean value than the control group, 0.06% combination (Zirconium Oxide and Titanium Dioxide nanoparticles) group had the highest mean value. About adhesive remnant index, no significant differences were found among the studying groups. The addition of 0.06% combination (Zirconium Oxide and Titanium Dioxide nanoparticles) had the best performance and improved shear bond strength of 3M orthodontic adhesive Transbond™ XT.

Clinical Profile and Determinants of Loss to Follow-Up in Patients Enrolled in an Urban Antiretroviral Treatment Programme in Northwestern Nigeria

INTRODUCTION

Loss of follow up in patients enrolled on antiretroviral treatment programmes has the potential to reduce their quality of life. We set out to describe the profile and risk factors for loss to follow up in patients enrolled on our programme.

MATERIALS AND METHODS

In this retrospective study, we reviewed the records of patients who were identified as lost to follow up between August 2008 to July 2018. Determinants of loss to follow-up were identified by the use of binary logistic regression with SPSS to compare the data of patients lost to follow-up with randomly selected patients who were still in care.

RESULTS

A total of 4,250 patients were enrolled on our programme during the study period. Of these, 965 patients were identified as lost to follow-up, giving a loss to follow up rate of 22.7%. Compared to patients still in care, patients who were lost to follow up were significantly male (male, n =395, 56% versus female, n= 310, 44%, p<0.0001), of younger age (33.53+9.05 versus 34.48+9.25 years, p = 0.028), married (married, n = 669, 58.9% versus not married n = 467, 41.1%, p<0.0001) and with evidence of low crude weight at the time of recruitment (58.58+12.12 versus 60.09+14.58 kg, p = 0.018).

CONCLUSION

Our study showed that patients who are young, male, married, recently enrolled, with evidence of the low crude weight, with WHO Clinical Stages III and IV and anaemia at enrolment are commonly lost to follow-up. Clinicians need to target this population to reduce the loss of follow up in patients on antiretroviral therapy.

Comparison of the effect of zinc oxide nanoparticles and extract of Acorus calamus applied topically on surgical wounds inflicted on the skin of rabbits

Antibiotics are used for postsurgical wound healing purposes but unfortunately, resistance against them demands some alternatives for quick recovery. Sepsis of wounds is a challenge for medical as well as veterinary professionals. Nanoparticles have significant advantages in wound treatment and drug resistance reversal. This study was conducted to appreciate emerging alternates of antibiotics like zinc oxide nanoparticles and plant extracts in topical application. Zinc oxide is considered a good wound healer and its nanoparticles are easy to access. So, the efficacies of zinc oxide nanoparticles and sweet flag plant extract ointments were tested to compare modern and traditional therapeutics as sweet flag is considered a pure medicinal plant. Rabbits were selected for this study due to the healing properties of their skin. Wounds were inflicted on the thoracolumbar region and treated for 29 days post-surgically daily with normal saline and the ointment of zinc oxide nanoparticles and sweet flag extract ointment, prepared in a hydrophilic solvent. Wound shrinkage was observed daily and histopathological analysis was made and results were compared. Zinc oxide nanoparticles ointment showed the most satisfactory results for every parameter included in the study. No side effects of its topical application were observed. Healing was normal without any complications. The preparations of zinc oxide nanoparticles may help in the era of antibiotic resistance as topical drugs in the future.

An open-source deep learning model for predicting effluent concentration in capacitive deionization

To effectively evaluate the performance of capacitive deionization (CDI), an electrochemical ion separation technology, it is necessary to accurately estimate the number of ions removed (effluent concentration) according to energy consumption. Herein, we propose and evaluate a deep learning model for predicting the effluent concentration of a CDI process. The developed deep learning model exhibited excellent prediction accuracy for both constant current and constant voltage modes (R² ≥ 0.968), and the accuracy increased with the data size. This model was based on the open-source language, Python, and the code has since been distributed with proper instructions for general use. Owing to the nature of the data-oriented deep learning model, the findings of this study are not only applicable to conventional CDI but also to various types of CDI (membrane CDI, flow CDI, faradaic CDI, etc.). Therefore, by referring to the examples shown in this study, we hope that this open-source deep learning code will be widely used in CDI research.

Machine learning approaches to predict the photocatalytic performance of bismuth ferrite-based materials in the removal of malachite green

This study focuses on the potential capability of numerous machine learning models, namely CatBoost, GradientBoosting, HistGradientBoosting, ExtraTrees, XGBoost, DecisionTree, Bagging, light gradient boosting machine (LGBM), GaussianProcess, artificial neural network (ANN), and light long short-term memory (LightLSTM). These models were investigated to predict the photocatalytic degradation of malachite green from wastewater using various NM-BiFeO₃ composites. A comprehensive databank of 1200 data points was generated under various experimental conditions. The ten input variables selected were the catalyst type, reaction time, light intensity, initial concentration, catalyst loading, solution pH, humic acid concentration, anions, surface area, and pore volume of various photocatalysts. The MG dye degradation efficiency was selected as the output variable. An evaluation of the performance metrics suggested that the CatBoost model, with the highest test coefficient of determination (0.99) and lowest mean absolute error (0.64) and root-mean-square error (1.34), outperformed all other models. The CatBoost model showed that the photocatalytic reaction conditions were more important than the material properties. The modeling results suggested that the optimized process conditions were a light intensity of 105 W, catalyst loading of 1.5 g/L, initial MG dye concentration of 5 mg/L and solution pH of 7. Finally, the implications and drawbacks of the current study were stated in detail.

Appendiceal diverticulum masquerading as acute appendicitis

Appendiceal diverticula present as rare clinical finding and are most confused with acute appendicitis. A 65-year-old female was presented to our surgical service after 1 day of right lower quadrant abdominal pain and a computed tomography evaluation, read as a diagnosis of acute appendicitis. Due to the location and quality of pain and intraoperative findings acute appendicitis was our preliminary diagnosis. Follow up with histopathology confirmed acute inflammation of an appendiceal diverticulum. With discordance in original diagnosis from final pathological evaluation, we suggest appendiceal diverticula as an important differential to consider in patients of similar clinical presentation. Surgical treatment with appendectomy and final histological diagnosis are essential in the proper treatment of this rare clinical finding.

Who tells the story of burns in low-and-middle income countries? – A bibliometric study

INTRODUCTION

Low- and middle-income countries (LMICs) remain drastically underrepresented in health research, with African countries producing less than 1% of the global output. This work investigates authorship patterns of publications on burns in LMICs. Original research studies addressing burn injuries in LMICs and published between 1st January 2015 and 31st December 2020 were included in the review. Descriptive statistics were performed for country affiliations of authors, World Bank Country Income Groups, WHO group, study-focus and country studied. Of the 458 results, 426 studies met the inclusion criteria. Nearly a quarter of papers on burns in LMICs had both first and senior authors from high-income countries (HICs, n = 95, 24.4%), more than half of the papers had both first and senior authors from upper middle- income countries (upper MICs, n = 222, 57.2%), while less than 1% (n = 3) had first and senior authors exclusively from lower-income countries (LICs). Eleven percent (n = 41/388) of all papers were written without either first nor senior author being from the country studied, and 17 of them (41%) had both first and senior authors from the USA. Twenty-five (6%) of the papers had the first author and not the senior author from the country of focus, while six (2%) had the senior and not the first author from the country of interest. To overcome global health challenges such as burns, locally led research is imperative. The maximum benefit of HIC-LMIC collaborations is achieved when LMICs play an active role in leading the research. When LMICs direct the research being conducted in their country, the harm of inherently inequitable relationships is minimized.

Oral 11β-HSD1 inhibitor AZD4017 improves wound healing and skin integrity in adults with type 2 diabetes mellitus: a pilot randomized controlled trial

BACKGROUND

Chronic wounds (e.g. diabetic foot ulcers) reduce the quality of life, yet treatments remain limited. Glucocorticoids (activated by the enzyme 11β-hydroxysteroid dehydrogenase type 1, 11β-HSD1) impair wound healing.

OBJECTIVES

Efficacy, safety, and feasibility of 11β-HSD1 inhibition for skin function and wound healing.

DESIGN

Investigator-initiated, double-blind, randomized, placebo-controlled, parallel-group phase 2b pilot trial.

METHODS

Single-center secondary care setting. Adults with type 2 diabetes mellitus without foot ulcers were administered 400 mg oral 11β-HSD1 inhibitor AZD4017 (n = 14) or placebo (n = 14) bi-daily for 35 days. Participants underwent 3-mm full-thickness punch skin biopsies at baseline and on day 28; wound healing was monitored after 2 and 7 days. Computer-generated 1:1 randomization was pharmacy-administered. Analysis was descriptive and focused on CI estimation. Of the 36 participants screened, 28 were randomized.

RESULTS

Exploratory proof-of-concept efficacy analysis suggested AZD4017 did not inhibit 24-h ex vivoskin 11β-HSD1 activity (primary outcome; difference in percentage conversion per 24 h 1.1% (90% CI: -3.4 to 5.5) but reduced systemic 11β-HSD1 activity by 87% (69-104%). Wound diameter was 34% (7-63%) smaller with AZD4017 at day 2, and 48% (12-85%) smaller after repeat wounding at day 30. AZD4017 improved epidermal integrity but modestly impaired barrier function. Minimal adverse events were comparable to placebo. Recruitment rate, retention, and data completeness were 2.9/month, 27/28, and 95.3%, respectively.

CONCLUSION

A phase 2 trial is feasible, and preliminary proof-of-concept data suggests AZD4017 warrants further investigation in conditions of delayed healing, for example in diabetic foot ulcers.

SIGNIFICANCE STATEMENT

Stress hormone activation by the enzyme 11β-HSD type 1 impairs skin function (e.g. integrity) and delays wound healing in animal models of diabetes, but effects in human skin were previously unknown. Skin function was evaluated in response to treatment with a 11β-HSD type 1 inhibitor (AZD4017), or placebo, in people with type 2 diabetes. Importantly, AZD4017 was safe and well tolerated. This first-in-human randomized, controlled, clinical trial found novel evidence that 11β-HSD type 1 regulates skin function in humans, including improved wound healing, epidermal integrity, and increased water loss. Results warrant further studies in conditions of impaired wound healing, for example, diabetic foot ulcers to evaluate 11β-HSD type 1 as a novel therapeutic target forchronic wounds.

Genetic and phenotypic characteristics of Clostridium (Clostridioides) difficile from canine, bovine, and pediatric populations

Objectives:

Carriage of Clostridioides difficile by different species of animals has led to speculation that animals could represent a reservoir of this pathogen for human infections. The objective of this study was to compare C. difficile isolates from humans, dogs, and cattle from a restricted geographic area.

Methods:

C. difficile isolates from 36 dogs and 15 dairy calves underwent whole genome sequencing, and phenotypic assays assessing growth and virulence were performed. Genomes of animal-derived isolates were compared to 29 genomes of isolates from a pediatric population as well as 44 reference genomes.

Results:

Growth rates and relative cytotoxicity of isolates were significantly higher and lower, respectively, in bovine-derived isolates compared to pediatric- and canine-derived isolates. Analysis of core genes showed clustering by host species, though in a few cases, human strains co-clustered with canine or bovine strains, suggesting possible interspecies transmission. Geographic differences (e.g., farm, litter) were small compared to differences between species. In an analysis of accessory genes, the total number of genes in each genome varied between host species, with 6.7% of functional orthologs differentially present/absent between host species and bovine-derived strains having the lowest number of genes. Canine-derived isolates were most likely to be non-toxigenic and more likely to carry phages. A targeted study of episomes identified in local pediatric strains showed sharing of a methicillin-resistance plasmid with dogs, and historic sharing of a wide range of episomes across hosts. Bovine-derived isolates harbored the widest variety of antibiotic-resistance genes, followed by canine

Conclusions:

While C. difficile isolates mostly clustered by host species, occasional co-clustering of canine and pediatric-derived isolates suggests the possibility of interspecies transmission. The presence of a pool of resistance genes in animal-derived isolates with the potential to appear in humans given sufficient pressure from antibiotic use warrants concern.

Prediction of biogas production in anaerobic co-digestion of organic wastes using deep learning models

Interest in anaerobic co-digestion (AcoD) has increased significantly in recent decades owing to enhanced biogas productivity due to the utilization of different organic wastes, such as food waste and sewage sludge. In this study, a robust AcoD model for biogas prediction is developed using deep learning (DL). We propose a hybrid DL architecture, i.e., DA-LSTM-VSN, wherein a dual-stage-attention (DA)-based long short-term memory (LSTM) network is integrated with variable selection networks (VSNs). To enhance the model predictability, we perform hyperparameter optimization. The model accuracy is validated using long-term AcoD monitoring data measured over two years of municipal wastewater treatment plant operation and then compared with those of two other DL-based models (i.e., DA-LSTM and the standard LSTM). In addition, the feature importance (FI) is analyzed to investigate the relative contribution of input variables to biogas production prediction. Finally, we demonstrate the successful application of the validated DL model to the AcoD process optimization. Results show that the model accuracy improved significantly by incorporating DA into LSTM, i.e., the coefficient of determination (R²) increased from 0.38 to 0.68; however, the R² can be further increased to 0.76 by combining DA-LSTM with a VSN. For the biogas prediction of the AcoD model, the VSN contributes significantly by employing the discontinuous time series of measurement data on biodegradable organic-associated variables during AcoD. In addition, the VSN allows the AcoD model to be interpretable via FI analysis using its weighted input features. The FI results show that the relative importance is vital to variables associated with food waste leachate, whereas it is marginal for those associated with the primary and chemically assisted sedimentation sludges. In conclusion, the AcoD model proposed herein can be utilized in practical applications as a robust tool because it can provide the optimal sludge conditions to improve biogas production. This is because it facilitates the time-series biogas prediction at the full scale using unprocessed datasets with either missing value imputation or outlier removal.

1158 Summarising the Reporting of Study Outcomes in Robotic Oesophagectomy: A Systematic Review

Introduction

There is an increasing adoption of robotic oesophagectomy in place of standard techniques for oesophageal cancer resection. This is potentially due to its perceived technical benefits and improved short-term outcomes. Consistency in outcome selection, definition and reporting between studies is required for effective evidence synthesis and prevention of research waste. The aim of this review is to perform an in-depth analysis of outcome reporting in robotic oesophagectomy.

Method

Systematic searches were conducted using key words for robotic surgery and oesophageal cancer, from inception to February 2020. Studies reporting any outcome for robotic oesophagectomy were included. Outcomes in each study were recorded verbatim and categorised into twelve domains. Outcomes were independently categorised by two reviewers. Where reported, the follow-up period was also recorded.

Results

Of 954 abstracts screened, 226 full texts were reviewed and 102 included. Only one study was a RCT. A total of 1422 outcomes were reported. Each study had a median of 14 reported outcomes (range 1-25). Outcomes related to complications (n = 578, 99 studies), technical/operative factors (n = 290, 90 studies), and pathology (e.g., resection margin) (n = 197, 83 studies) were reported most frequently. No single outcome, or outcome domain was reported in all studies. No studies used a core outcome set for reporting. Forty-five studies stated a follow-up period, ranging from &lt;1 month to 58 months.

Conclusions

There is significant heterogeneity in the selection and reporting of outcomes in robotic oesophagectomy. This calls for the use of a core outcome set to allow standardisation and transparency of outcome reporting.

Effects on egg production and quality of supplementing drinking water with calcium and magnesium

This study was conducted to appraise the effects on egg quality and production performance of laying hens when drinking water was supplemented with calcium (Ca) and magnesium (Mg). A total of 384 (64-week-old) Hy-line Brown laying hens were assigned at random to four treatments, which consisted of CON: unsupplemented drinking water; T1: drinking water + 2 mg/L Ca + 250 mg/L Mg; T2: drinking water + 4 mg/L Ca + 510 mg/L Mg /10 L; and T3: drinking water + 5 mg/L Ca and 760 mg/L Mg. The experiment lasted six weeks. Water intake increased linearly in week 1 with the rising levels of Ca and Mg in the drinking water. Increasing the Ca and Mg levels improved eggshell strength (week 2 (P =0.01), week 5 (P =0.01), and week 6 (P = 0.03), and eggshell thickness (week 6) (P =0.02) and reduced the rate at which eggs were broken (week 4) (P =0.01). The supplemental Ca and Mg did not affect egg production, egg weight, Haugh unit, albumen height, eggshell colour, and yolk colour compared with CON. Nor did they influence the Haugh unit and albumen height after storing for 1, 5, 10 and 15 days. In conclusion, adding Ca and Mg to the drinking water increased the thickness and strength of the eggshells.

Characteristics and long-term outcomes of patients with reduced ejection fraction referred for adenosine stress perfusion cardiac magnetic resonance imaging

Funding Acknowledgements

Type of funding sources: None.

Background

Adenosine stress perfusion has been shown to be of minimal incremental benefit in distinguishing between ischaemic and non-ischaemic aetiology of severe left ventricular systolic dysfunction (LVSD) over and above that obtained from Cardiac Magnetic Resonance (CMR) with Late Gadolinium Enhancement (LGE). Stress CMR has, however, been shown to be effective in risk-stratifying LVSD patients, with ischaemia being an independent predictor of cardiovascular death or myocardial infarction (MI) and associated with higher rates of further intervention.

Purpose

Evaluate real world data from a single tertiary UK cardiac MRI centre to determine the characteristics and long-term clinical outcomes of patients with LVSD referred for stress CMR. 

Methods

As part of an ongoing registry, all consenting patients with Ejection Fraction (EF) ≤40% and a completed adenosine stress perfusion CMR between January 2015 and December 2019 were included with prospective baseline data collection. All-cause mortality and cardiac hospitalisation, coronary angiography/revascularisation was determined from electronic hospital records. Outcomes were compared between the inducible ischaemia vs. no ischaemia groups, and LGE present vs. no LGE groups using chi square. 

Results

The sample included 86 patients. The mean EF was 32 ± 6%. Median follow up was 3.8 years (range 41-2222 days). The indications for CMR were: 30 (35%) assess ischaemia, 35 (41%) assess LVSD aetiology and 21 (24%) LVSD assess viability. 

Inducible ischemia was present in 30 (35%) patients and absent in 56 (65%).  Patient characteristics and outcomes are shown in Table 1. Baseline characteristics were similar between the groups but there was a higher rate of hypertension and ischaemic heart disease in the ischaemia group. There was a non-significant difference in combined mortality and cardiac hospitalisation rates between the groups (40% vs. 27% p = 0.20). 

LGE was present in 69 (80%) patients (28 with ischaemia; 41 without) and absent in 17 (20%, 2 with ischaemia, 15 without). The event rate was 23 (33%) vs. 4 (24%) between LGE vs. No LGE groups (p = 0.44). Of the 15 patients (17%) with no LGE or ischaemia; 2 died and 1 was hospitalised, there were no MI"s and no Percutaneous Coronary Intervention (PCI).

The lack of statistical difference in event rates between ischaemia and no ischaemia groups may be due to our relatively small sample size or could reflect the effectiveness of contemporary disease modifying treatment for Heart Failure with reduced EF.

Conclusion

This real-world data supports published findings that in patients with LVSD and no LGE on CMR, ischaemia is very uncommon and stress CMR is unlikely to increase diagnostic yield. Conversely, if stress CMR is performed and ischaemia is absent, incidence of subsequent angiography and revascularisation is very low, which is reassuring in clinical practice.  In those patients without ischaemia and LGE, likelihood of MI is low.

Prediction of antibiotic-resistance genes occurrence at a recreational beach with deep learning models

Antibiotic resistance genes (ARGs) have been reported to threaten the public health of beachgoers worldwide. Although ARG monitoring and beach guidelines are necessary, substantial efforts are required for ARG sampling and analysis. Accordingly, in this study, we predicted ARGs occurrence that are primarily found on the coast after rainfall using a conventional long short-term memory (LSTM), LSTM-convolutional neural network (CNN) hybrid model, and input attention (IA)-LSTM. To develop the models, 10 categories of environmental data collected at 30-min intervals and concentration data of 4 types of major ARGs (i.e., aac(6'-Ib-cr), bla_TEM, sul1, and tetX) obtained at the Gwangalli Beach in South Korea, between 2018 and 2019 were used. When individually predicting ARGs occurrence, the conventional LSTM and IA-LSTM exhibited poor R² values during training and testing. In contrast, the LSTM-CNN exhibited a 2-6-times improvement in accuracy over those of the conventional LSTM and IA-LSTM. However, when predicting all ARGs occurrence simultaneously, the IA-LSTM model exhibited a superior performance overall compared to that of LSTM-CNN. Additionally, the influence of environmental variables on prediction was investigated using the IA-LSTM model, and the ranges of input variables that affect each ARG were identified. Consequently, this study demonstrated the possibility of predicting the occurrence and distribution of major ARGs at the beach based on various environmental variables, and the results are expected to contribute to management of ARG occurrence at a recreational beach.

Managing breast gangrene during the COVID-19 pandemic

At the onset of the COVID-19 crisis, a 63-year-old woman with multiple life-limiting comorbidities was referred with a necrotic infected left breast mass on a background of breast cancer treated with conservation surgery and radiotherapy 22 years previously. The clinical diagnosis was locally advanced breast cancer, but four separate biopsies were non-diagnostic. Deteriorating renal function and incipient sepsis and endocarditis resulted in urgent salvage mastectomy during the peak of the COVID19 pandemic. The final diagnosis was infected ischaemic/infarcted breast (wet gangrene) secondary to vascular insufficiency related to diabetes, cardiac revascularisation surgery and breast radiotherapy.

Intravenous immunoglobulin and intravenous methylprednisolone as optimal induction treatment in chronic inflammatory demyelinating polyradiculoneuropathy: protocol of an international, randomised, double-blind, placebo-controlled trial (OPTIC)

Background

International guidelines recommend either intravenous immunoglobulin (IVIg) or corticosteroids as first-line treatment for chronic inflammatory demyelinating polyradiculoneuropathy (CIDP). IVIg treatment usually leads to rapid improvement and is generally safe, but does not seem to lead to long-term remissions. Corticosteroids act more slowly and are associated with more side effects, but may induce long-term remissions. The hypothesis of this study is that combined IVIg and corticosteroid induction treatment will lead to more frequent long-term remissions than IVIg treatment alone.

Methods

An international, randomised, double-blind, placebo-controlled trial, in adults with ‘probable’ or ‘definite’ CIDP according to the EFNS/PNS 2010 criteria. Three groups of patients are included: (1) treatment naïve, (2) known CIDP patients with a relapse after > 1 year without treatment, and (3) patients with CIDP who improved within 3 months after a single course of IVIg, who subsequently deteriorate at any interval without having received additional treatment. Patients are randomised to receive 7 courses of IVIg and 1000 mg intravenous methylprednisolone (IVMP) (in sodium chloride 0.9%) or IVIg and placebo (sodium chloride 0.9%), every 3 weeks for 18 weeks. IVIg treatment consists of a loading dose of 2 g/kg (over 3–5 days) followed by 6 courses of IVIg 1/g/kg (over 1–2 days). The primary outcome is remission at 1 year, defined as improvement in disability from baseline, sustained between week 18 and week 52 without further treatment. Secondary outcomes include changes in disability, impairment, pain, fatigue, quality of life, care use and costs and (long-term) safety.

Discussion

In case of superiority of the combined treatment, patients will experience the advantages of two proven efficacious treatments, namely rapid improvement due to IVIg and long-term remission due to corticosteroids. Long-term remission would reduce the need for maintenance IVIg treatment and may decrease health care costs. Additionally, we expect that the combined treatment leads to a higher proportion of patients with improvement as some patients who do not respond to IVIg will respond to corticosteroids. Risks of short and long-term additional adverse events of the combined treatment need to be assessed.

Trial registration

ISRCTN registry ISRCTN15893334. Prospectively registered on 12 February 2018.

Severe preeclampsia is associated with postpartum diastolic dysfunction and non-dipping blood pressure profile pattern

Background

Left ventricular diastolic dysfunction and non-dipping profile, detected by ambulatory blood pressure monitoring (ABPM), are two features recorded to be associated with sustained hypertension. Both are predictors of an increased cardiovascular morbidity later in life. Complete normalization of blood pressure (BP) in preeclampsia is detected over a variable period of time.

Methods

A prospective cohort study was conducted in a tertiary university hospital including normotensive women with a history of preeclampsia in the current pregnancy enrolled within the first week postpartum. All cases were subjected to 24 h-ABPM and 2D trans-thoracic echocardiography three months post postpartum concomitantly with a clinical evaluation. Chi2-test was used to compare the qualitative data while student t-test was used to compare the quantitative data. Multivariate regression analysis was used for prediction of non-dippers and diastolic dysfunction in our cohort.

Results

Hundred twenty eight women were included in the study. Their mean age was 28.6±5.1 years and the mean basal BP was 123.1±6.4/74.6±5.9 mm Hg. Out of the studied women, 90 (70.3%) women were dippers and 38 (29.7%) women were non-dippers. It was noticed that diastolic dysfunction was presented in 28 (73.7%) of non-dippers while none of dippers had diastolic dysfunction. Women with severe preeclampsia had higher frequency of non-dipper (35.5% vs. 24.2%; P=0.02) and diastolic dysfunction (29% vs. 15%; P=0.01) in comparison to those women with mild preeclampsia. Severe preeclampsia and previous history of preeclampsia were significant predictors for non-dipping status (OR=1.1, 95% CI: 0.05–10.56 and 1.4, 95% CI: 0.30–4.26 respectively, R2 = 0.7; P&lt;0.001). They were also predictors for diastolic dysfunction in our studied population (OR = 1.6, 95% CI: 1.1–2.2 and 1.3, 95% CI: 1.2–2.2 respectively, R2 = 0.6; P&lt;0.05).

Conclusion

Women with a history of preeclampsia have the risk for developing cardiovascular events later in life. The severity and recurrence of preeclampsia were significant predictors for both non-dipping profile and diastolic dysfunction.

Funding Acknowledgement

Type of funding source: Public hospital(s). Main funding source(s): Orman Heart Hospital-Assiut University; Women Health Hospital-Assiut University

Impact of acute kidney injury on in-hospital outcomes among patients hospitalized with acute heart failure: a propensity score matched analysis

Background

Acute kidney injury (AKI) is frequently present in patients admitted for acute heart failure (AHF). Several studies have evaluated the mortality risk and have concluded poor prognosis in any patient with AKI admitted for AHF. For the most part, the additional morbidity and mortality burden in AHF patients with AKI has been attributed to the concomitant comorbidities, and/or interventions.

Purpose

We sought to determine the impact of acute kidney injury (AKI) on in-hospital outcomes in patients presenting with acute heart failure (AHF). We identified isolated AKI patients after excluding other concomitant diagnoses and procedures, which may contribute to an increased risk of mortality and morbidity.

Methods

Data from the National Inpatient Sample (2012- 14) were used to identify patients with the principal diagnosis of AHF and the concomitant secondary diagnosis of AKI. Propensity score matching was performed on 30 baseline variables to identify a matched cohort. The outcome of interest was in-hospital mortality. We further evaluated in-hospital procedures and complications.

Results

Of 1,470,450 patients admitted with AHF, 24.3% had AKI. After propensity matching a matched cohort of 356,940 patients was identified. In this matched group, the AKI group had significantly higher in-hospital mortality (3.8% vs 1.7%, p&lt;0.001). Complications such as sepsis and cardiac arrest were higher in the AKI group. Similarly, in-hospital procedures including CABG, mechanical ventilation and IABP were performed more in the AKI group. AHF patients with AKI had longer in-hospital stay of ∼1.7 days.

Conclusions

In a propensity score-matched cohort of AHF with and without AKI, the risk of in-hospital mortality was &gt;2-fold in the AKI group. Healthcare utilization and burden of complications were higher in the AKI group.

Funding Acknowledgement

Type of funding source: None

Best practice recommendations: ENT consultations during the COVID-19 pandemic

These best practice recommendations for ENT consultations during the COVID-19 pandemic have been drawn up because ENT examinations and treatments are at risk of contamination by the SARS-Cov-2 virus in certain instances. Thus, ENT specialists are among the professionals who are most exposed to this infection. During the pandemic, insofar as an asymptomatic patient may be infected and contagious, the same precautions must be employed whether the patient is ill with, suspected of having, or without any clinical evidence of COVID-19 infection. According to the scientific data available, the examinations and procedures potentially exposing to projections/aerosolizations of organic material of human origin are considered to be at risk of staff contamination. For ENT examinations and procedures without exposure to such projections/aerosolizations, the professional is advised to a long sleeve clean outfit, a surgical mask and gloves in case of contact with the patient's mucosa. ENT examinations and procedures with exposure to these projections/aerosolizations require the so-called "airborne", "contact", and "droplets" additional precautions: FFP2/N95 respiratory protection device, eye protection, disposable headwear and long sleeve overgown.

Diagnostic utility of additional whole-chest CT as part of an acute abdominal pain CT imaging pathway during the COVID-19 pandemic

AIM

To evaluate the diagnostic utility of additional whole-chest computed tomography (CT) in identifying otherwise unheralded COVID-19 lung disease as part of an acute abdominal pain CT imaging pathway in response to the COVID-19 pandemic.

MATERIALS AND METHODS

Consecutive patients (n=172) who underwent additional whole-chest CT via a COVID-19 acute abdominal pain CT imaging pathway between 27 March and 3 May 2020 were evaluated in this retrospective single-centre study. Chest CT examinations were graded as non-COVID-19, indeterminate for, or classic/probable for COVID-19. CT examinations in the latter two categories were further divided into one of three anatomical distributions (lung base, limited chest [below carina], whole chest [above carina]) based on location of findings. Reverse transcriptase-polymerase chain reaction (RT-PCR) results and clinical features of COVID-19 were assessed to determine if COVID-19 was clinically suspected at the time of CT referral.

RESULTS

Twenty-seven of the 172 (15.7%) patients had CT features potentially indicative of COVID-19 pneumonia, 6/27 (3.5%) demonstrating a classic/probable pattern and 21/27 (12.2%) demonstrating an indeterminate pattern. After correlation with clinical features and RT-PCR 8/172 (4.7%) were defined as COVID-19 positive, of which only 1/172 (0.6%) was clinically unsuspected of COVID-19 at the time of CT referral. All COVID-19 positive cases could be identified on review of the lung base alone.

CONCLUSION

Whole-chest CT as part of an acute abdominal pain CT imaging pathway has a very low diagnostic yield for our cohort of patients. All COVID-19-positive patients in our cohort were identified on review of the lung bases on the abdominal CT and this offers an alternative imaging approach in this patient group.

Elevated plasma and synovial fluid interleukin-8 and interleukin-18 may be associated with the pathogenesis of knee osteoarthritis

PURPOSE

Osteoarthritis (OA) of the knee is a multifactorial degenerative disease typically defined as the 'wear and tear' of articular joint cartilage. However, recent studies suggest that OA is a disease arising from chronic low-grade inflammation. We conducted a study to investigate the relationship between chronic inflammatory mediators present in both the systemic peripheral blood system and localised inflammation in synovial fluid (SF) of OA and non-OA knees; and subsequently made direct comparative analyses to understand the mechanisms that may underpin the processes involved in OA.

METHODS

20-Plex proteins were quantified using Human Magnetic Luminex® assay (R&D Systems, USA) from plasma and SF of OA (n = 14) and non-OA (n = 14) patients. Ingenuity Pathway Analysis (IPA) software was used to predict the relationship and possible interaction of molecules pertaining to OA.

RESULTS

There were significant differences in plasma level for matrix metalloproteinase (MMP)-3, interleukin (IL)-27, IL-8, IL-4, tumour necrosis factor-alpha, MMP-1, IL-15, IL-21, IL-10, and IL-1 beta between the groups, as well as significant differences in SF level for IL-15, IL-8, vascular endothelial growth factor (VEGF), MMP-1, and IL-18. Our predictive OA model demonstrated that toll-like receptor (TLR) 2, macrophage migration inhibitory factor (MIF), TLR4 and IL-1 were the main regulators of IL-1B, IL-4, IL-8, IL-10, IL-15, IL-21, IL-27, MMP-1 and MMP-3 in the plasma system; whilst IL-1B, TLR4, IL-1, and basigin (BSG) were the regulators of IL-4, IL-8, IL-10, IL-15, IL-18, IL-21, IL-27, MMP-1, and MMP-3 in the SF system.

CONCLUSION

The elevated plasma IL-8 and SF IL-18 may be associated with the pathogenesis of OA via the activation of MMP-3.

Hepatoprotective Effects of Suberoylanilide Hydroxamic Acid (A Histone Deacetylase Inhibitor) in Immunological Liver Injury in Rats

One of the main reasons for the development of chronic liver disease is autoimmune hepatitis (AIH).  There is no clear etiological factor for AIH occurrence and no drug has been approved for its treatment. Vorinostat, a Histone deacetylase inhibitor (HDACi) has been shown to reduce inflammation. Our aim was to explore the therapeutic potential of vorinostat in a rat model of AIH induced by Concanavalin A (Con A). The rats were randomly divided into 4 groups; control group, con A (20 mg/kg/iv/wk) group, vorinostat (15 mg/kg/day p.o) group and Con A with vorinostat group. Blood and liver samples were collected at the end of the fourth and eighth weeks for biochemical and histopathological examinations. Results revealed that administration of Con A elevated aspartate aminotransferase (AST) and alanine aminotransferase (ALT) liver enzymes, which were reduced to 52.8% and to 61.8% respectively on simultaneous administration of Vorinostat as compare to Con A group.  Furthermore, Vorinostat reduced fibrosis and diminished apoptosis as deduced by the decrease in the hepatic hydroxyproline content of the liver and tumor necrosis factor-alpha levels. Relative gene expression analysis of interleukin 1b and transforming growth factor beta were significantly decreased in groups treated with vorinostat. Histopathological analysis showed that administration of vorinostat significantly restored the well organized structure of the liver, decreased initial inflammation produced by Con A, reduced liver fibrosis and mitigated hepatic stellate cell’s activities. In conclusion, administration of vorinostat in Con A model of autoimmune hepatitis, significantly decreased liver inflammation and fibrosis. So vorinostat might show a novel therapeutic approach for management of autoimmune hepatitis and its obstacles.

P1817Assessment of carotid stiffness indices in patients with ischemic stroke

Background

Arterial stiffness is considered as an emerging new important risk factor for stoke development. Measuring carotid stiffness is easy and non-invasive and thus can be widely applicable.

Purpose

To evaluate the carotid stiffness indices in patients with ischemic stroke compared to normal healthy subjects.

Methods

Included in this study are 60 patients (group 1) with ischemic stroke and 60 healthy control subjects (group 2). Participants were exposed to routine clinical examination and Duplex assessment of both carotid arteries. A specific wall tracking system was used for the semiautomatic calculation of the carotid stiffness indices, which included; compliance coefficient (CC), distensibility coefficient (DC), carotid pulse wave velocity (PWV) and carotid intima media thickness (IMT). Results from both carotid arteries were averaged and data from group 1 patients were compared to group 2 subjects.

Results

The mean age was (60.1±6.9 years) in group 1 compared to (60.1±6.6 years) in group 2 (p=0.9). A significant difference was found between both groups in all carotid stiffness indices; including average CC (0.64±0.29 vs 0.82±0.36 m2/kpa, p=0.004); average DC (11.69±5.42 vs 18.61±11.87 1/kpa, p<0.001); average PWV (16.5±0.6 vs 12.5±3.7 m/s, p<0.001) and average IMT (0.78±0.13 vs 0.68±0.18 mm, p=0.001). Only the carotid PWV was found to be a predictor of vascular stroke (p=0.001)

Conclusion

Patients with vascular stroke have higher carotid stiffness indices than age matched control subjects. Measuring carotid stiffness indices in patients who have atherosclerotic risk factors may help predict those at risk of vascular stroke and thus guide a tighter and a more efficient risk factors control.

Road Map to Setting Up a Palliative Care Service in a Tertiary Center Gynecologic Oncology Unit in Egypt

Background and context: Developing countries struggle with high cancer mortality and low resources. Cancer patients experience pain and physical symptoms in addition to psychological, social and spiritual worries that increase as the patients' conditions progress. Palliative care (PC) primary goal is to help people live as well as they can for the duration of their illness, with the finest physical and emotional well-being possible despite complex problems. However, there are considerable barriers to PC service implementation in developing countries. Aim: Our goal is to set up a PC service and integrate it as a standard of care for gynecologic cancer patients managed at Assiut University Hospitals, Egypt. The objective of this study is to investigate the tools needed to integrate a PC service in any oncology service in developing countries. Strategy/Tactics: A capacity building and local provision PC development framework was laid. Strategies included expanding the gynecologic oncology unit, assessment of PC knowledge among health providers and medical students, assembling a multidisciplinary PC team, overseas PC training, establishing international links, providing essential medicine and addressing PC education. Program/Policy process: The gynecologic oncology unit capacity was expanded to accommodate long term admissions. PC knowledge among physicians, clinical nurse practitioners (CNPs) and medical students in Assiut University Hospitals was assessed using the modified Palliative Care Knowledge Test (PCKT). A multidisciplinary team that will deliver the PC service to our gynecologic cancer patients was assembled based on motivation and individual expertise in the aspects of PC from relevant departments as clinical oncology, surgery, pain and anesthesiology, psychiatry, physical therapy and rehabilitation and nutrition. The hospital leadership worked with the pharmacists to increase opioids quota and facilitate dispensing measures. The PC team leader engaged in a certified online PC course and arranged overseas training with the reputable Palliative Medicine Division at University of Cape Town well known for its legacy in delivering PC education. Outcomes: Ninety two physicians, 14 CNPs and 116 medical students completed the PCKT. The PCKT was composed of 20 questions and each correct answer was given 1 point. The overall total correct score was 7.41 ± 2.48 (Fig 1). Poor knowledge about PC was a strong indicator to acknowledge the gap in PC postgraduate training and undergraduate education. What was learned: Integration of a PC service for cancer patients in Egypt is feasible in spite of local resources constraints. A PC multidisciplinary team can be assembled from skilled specialists. Modifications of undergraduate and postgraduate curricula to include PC is crucial. Our model can be transferred to other low resource settings.

[Figure: see text]