Major Errors Research Articles

Comparative study of antifungal susceptibility testing methods for clinical Candida albicans isolates

PurposeCandida albicans is the second most common cause of candidemia in Malaysia. The Clinical and Laboratory Standards Institute (CLSI) broth microdilution method is the gold standard for determining its minimum inhibitory concentration (MIC); however, it is laborious and time-consuming. This study was conducted to evaluate the usefulness of alternative methods, namely Sensititre YeastOne (SYO), VITEK 2 system, and E-test for determining the MIC of clinical C. albicans isolates. Materials and methodsThe susceptibilities of 95 C. albicans isolates were compared between SYO, VITEK 2 system, and E-test with CLSI broth microdilution method. The categorical agreement (CA), essential agreement (EA), very major errors (VME), major errors (ME) and minor errors (MiE) were calculated. ResultsOur finding showed the CA varied for SYO from 96.8% to 100%, while the EA ranged from 91.6% to 100%. The SYO method showed 1.1% of VME and ME, and up to 3.2% of MiE. Next, the CA and EA ranges for the VITEK 2 system were 97.8%–100% and 23.2%–100%, respectively. In the VITEK 2 technique, 1.1% of VME were found. For the E-test, the CA varied from 83.2% to 100% while the EA ranged from 64.2% to 98.9%. The E-test method showed 1.1% of VME and up to 16.8% of MiE. ConclusionsIn conclusion, SYO and VITEK 2 (except flucytosine) could be potential alternatives to the CLSI broth microdilution method in determining the MIC of C. albicans.

A Blinded Comparison of Three Generative Artificial Intelligence Chatbots for Orthopaedic Surgery Therapeutic Questions.

Objective To compare the quality of responses from three chatbots (ChatGPT, Bing Chat, and AskOE) across various orthopaedic surgery therapeutic treatment questions. Design We identified a series of treatment-related questions across a range of subspecialties in orthopaedic surgery. Questions were "identically" entered into one of three chatbots (ChatGPT, Bing Chat, and AskOE) and reviewed using a standardized rubric. Participants Orthopaedic surgery experts associated with McMaster University and the University of Toronto blindly reviewed all responses. Outcomes The primary outcomes were scores on a five-item assessment tool assessing clinical correctness, clinical completeness, safety, usefulness, and references. The secondary outcome was the reviewers' preferred response for each question. We performed a mixed effects logistic regression to identify factors associated with selecting a preferred chatbot. Results Across all questions and answers, AskOE was preferred by reviewers to a significantly greater extent than both ChatGPT (P<0.001) and Bing (P<0.001). AskOE also received significantly higher total evaluation scores than both ChatGPT (P<0.001) and Bing (P<0.001). Further regression analysis showed that clinical correctness, clinical completeness, usefulness, and references were significantly associated with a preference for AskOE. Across all responses, there were four considered as having major errors in response, with three occurring with ChatGPT and one occurring with AskOE. Conclusions Reviewers significantly preferred AskOE over ChatGPT and Bing Chat across a variety of variables in orthopaedic therapy questions. This technology has important implications in a healthcare setting as it provides access to trustworthy answers in orthopaedic surgery.

Errors in genome sequencing result disclosures: A randomized controlled trial comparing neonatology non-genetics healthcare professionals and genetic counselors

PurposeWe compared the rate of errors in genome sequencing (GS) result disclosures by genetic counselors (GC) and trained non-genetics healthcare professionals (NGHPs) in SouthSeq, a randomized trial utilizing GS in critically ill infants. MethodsOver 400 recorded GS result disclosures were analyzed for major and minor errors. We used Fisher’s exact test to compare error rates between GCs and NGHPs and performed a qualitative content analysis to characterize error themes. ResultsMajor errors were identified in 7.5% of disclosures by NGHPs and in no disclosures by GCs. Minor errors were identified in 32.1% of disclosures by NGHPs and in 11.4% of disclosures by GCs. Although most disclosures lacked errors, NGHPs were significantly more likely to make any error than GCs for all result types (positive, negative, or uncertain). Common major error themes include omission of critical information, overstating a negative result, and overinterpreting an uncertain result. The most common minor error was failing to disclose negative secondary findings. ConclusionTrained NGHPs made clinically significant errors in GS result disclosures. Characterizing common errors in result disclosure can illuminate gaps in education to inform the development of future genomics training and alternative service delivery models.

Suboptimal bioinformatic predictions of antimicrobial resistance from whole-genome sequences in multidrug-resistant Corynebacterium isolates

Herein, we combined different bioinformatics tools and databases (BV-BRC, ResFinder, RAST, and KmerResistance) to perform a prediction of antimicrobial resistance (AMR) in the genomic sequences of 107 Corynebacterium striatum isolates for which trustable antimicrobial susceptibility (AST) phenotypes could be retrieved. Then, the reliabilities of the AMR predictions were evaluated by different metrics: area under the ROC curve (AUC); Major Error Rates (MERs) and Very Major Error Rates (VMERs); Matthews Correlation Coefficient (MCC); F1-Score; and Accuracy. Out of 15 genes that were reliably detected in the C. striatum isolates, only tetW yielded predictive values for tetracycline resistance that were acceptable considering Food and Drug Administration (FDA)'s criteria for quality (MER < 3.0% and VMER with a 95% C.I. ≤1.5-≤7.5); this was accompanied by a MCC score higher than 0.9 for this gene. Noteworthy, our results indicate that other commonly used metrics (AUC, F1-score, and Accuracy) may render overoptimistic evaluations of AMR-prediction reliabilities on imbalanced datasets. Accordingly, out of 10 genes tested by PCR on additional multidrug-resistant Corynebacterium spp. isolates (n = 18), the tetW gene rendered the best agreement values with AST profiles (94.11%). Overall, our results indicate that genome-based AMR prediction can still be challenging for MDR clinical isolates of emerging Corynebacterium spp.

Evaluation of Errors on Death Certificates.

Death certificates provide vital data for disease surveillance and health policy. However, errors are common globally, undermining data reliability. This study analyzed prevalence and types of errors in death certificates at a tertiary hospital in Nepal. A cross-sectional study reviewed all death certificates issued at Lumbini Medical College, Nepal from April 2020 to April 2022. Certificates were assessed for errors including improper sequencing, absent time intervals, abbreviations, illegible writing, and inaccurate immediate, antecedent, and underlying causes of death as per international guidelines. Errors were classified as major or minor. Of 139 certificates, none were error-free. The most common error was incorrectly or incompletely filling the immediate cause of death (77.7%). Other errors included absent time of death (17.3%), abbreviations (57.6%), illegible writing (22.3%), and omitting the hospital stamp/medical council registration number (8.6%). Based on international criteria, 76.3% had minor errors, 23% had both major and minor errors. This study found a high rate of errors in death certification at a tertiary hospital in Nepal, undermining data accuracy. Regular training and monitoring with feedback are recommended to improve certification practices. Accurate cause-of-death data is vital for healthcare policy and decision-making in Nepal.

Anatomical and physiological diagnostic discrepancies in fetuses with single-ventricle congenital heart disease in a contemporary cohort.

Image quality of fetal echocardiography (FE) has improved in the recent era, but few recent studies have reported the accuracy of FE, specifically in single ventricle (SV) congenital heart disease (CHD). This study aimed to assess the ability of FE to correctly predict SV-CHD postnatal anatomy and physiology in a contemporary cohort. The contemporary clinical reports of patients with SV-CHD, in which FE was performed between July 2017 and July 2021, were compared with postnatal echocardiograms from a formal quality assurance program. SV fetuses were grouped by anatomical subtype. Diagnostic errors were designated as major if the error would have caused significant alteration in parental counseling or postnatal management. The remaining errors were classified as minor. Physiological discrepancies, including prostaglandin-E (PGE) dependency, atrioventricular valve regurgitation (AVVR), pulmonary venous obstruction, and restrictive atrial septum (RAS) were assessed by chart review of the postnatal course. A total of 119 subjects were analyzed. SV subtypes in the cohort included hypoplastic left heart syndrome (HLHS) (n = 68), tricuspid atresia (n = 16), double-inlet left ventricle (n = 12), unbalanced atrioventricular canal (UAVC) (n = 11), heterotaxy (n = 9) and other (n = 3). The rate of major anatomical and physiological errors was low (n = 6 (5.0%)). A higher proportion of minor errors was noted in HLHS and tricuspid atresia, but the differences were not statistically significant. Physiological discrepancies were uncommon, with three major discrepancies, including underestimation of the degree of venous obstruction in one non-HLHS fetus with total anomalous pulmonary venous return, overestimation of RAS in one HLHS fetus and incorrect prediction of PGE dependency in one case false-negative for pulmonary blood flow. No discrepancy in degree of AVVR or RAS affected postnatal care. Minor physiological discrepancies included two false-positive predictions of PGE dependency with one false-positive for ductal-dependent systemic flow and one false-positive for pulmonary blood flow. In this contemporary review of FE at our center, there was high accuracy in describing anatomical and physiological findings in SV-CHD. Major physiological discrepancies were uncommon but included important cases of false-negative prediction of PGE dependency and underestimation of obstruction of total anomalous pulmonary venous return. These data can inform more accurate counseling of families with SV-CHD fetuses and guide diagnostic improvement efforts. © 2024 International Society of Ultrasound in Obstetrics and Gynecology.

Finding errors in the blink of AI: Use of an artificial intelligence tool to identify clinically important corrections to references cited by NCCN Guidelines for gynecologic malignancies.

e13658 Background: Scientific articles are being retracted at higher rates for many reasons. Retractions or corrections may be unknown to authors citing these materials as primary sources, unwittingly perpetuating incorrect information. Our goal was to assess the utility of a scholarly artificial intelligence (AI) tool to identify errata to sources cited in NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for gynecologic cancers and to evaluate the clinical importance of identified errata. Methods: scite (scite Inc., Brooklyn, NY) is an AI tool that analyzes citations to generate a list of linked publications, display the context for each citation, and flag any published errata or retractions for each source. Using scite with references from NCCN Guidelines as of June 2023, we identified corrections to primary sources. Each author categorized errata as having major, minor, or no clinical relevance, with resolution of conflicts through discussion until consensus. To check whether scite missed errata, we assessed a random sample (20%) of unflagged references. Results: The guidelines cited 2,364 primary sources, and scite successfully linked to 1,984 (84%) of them . scite flagged 50 references (2.5%) as having corrections; all 50 did have errata (100% accuracy). scite identified 56 total errata, which were not always apparent on journal websites or PubMed. After review, 31 errors (55%) were classified as clinically relevant; 71% of those errors had major clinical importance and 29% were considered minor. Twenty errors (65%) had relevance to the guideline statements in which the source was cited, but only 1 (3%) error had potential to change current guideline text. Among the sample of sources scite did not flag, we identified none with published errata. Conclusions: We demonstrated use of an AI tool to accurately identify sources in clinical guidelines with published corrections. Sources with errata were uncommon, and our analysis did not reveal perpetuation of major errors in NCCN Guidelines. However, the proportion of corrections with major clinical relevance underscores the importance of awareness of errata when writing clinical guidelines or reviews. Compared to manual review of each source, AI tools can improve speed and accuracy in finding important errors. [Table: see text]

Evaluation of Automated Disk Diffusion Antimicrobial Susceptibility Testing Using Radian® In-Line Carousel

Antimicrobial susceptibility testing (AST) by disk diffusion provides an accurate image of bacterial growth, enabling the detection of culture purity, heterogeneous growth, and antibiotic interactions. However, this manual method is time-consuming and visual interpretation is prone to errors. To overcome these disadvantages, the Radian® In-Line Carousel (Copan, Brescia, Italy) was launched, which is a WASPLab® module dedicated to full automation of (pre)-analytical steps as well as interpretation of disk diffusion AST. However, until now, no evaluation of Radian® against manual disk diffusion has been performed. We assessed the categorical agreement (CA) between standardized disk diffusion (reference method) and Radian® using EUCAST 2021 breakpoints. We tested 135 non-duplicate strains, selected from the National EUCAST challenge panel, clinical strains, and external quality controls. The strains included Enterobacterales (n = 63), Enterococcus faecalis (n = 3), Enterococcus faecium (n = 10), Pseudomonas aeruginosa (n = 16), Staphylococcus aureus (n = 19), coagulase-negative staphylococci (n = 4), and Streptococcus spp. (n = 20). Furthermore, we explored antibiotic disk thermolability in the WASP Radian® carousel by testing 10 ATCC® strains up to 7 days. The observed CA was 95.3%, 96.3%, 93.8%, 97.3% and 98.0% for Enterobacterales, Enterococcus spp., P. aeruginosa, Staphylococcus spp. and Streptococcus spp., respectively, resulting in an acceptable overall CA for all groups. (Very) major error rates were ≤ 5% for all antibiotics. Antibiotic disk thermostability was confirmed up to 4 days in the WASP Radian® In-Line Carousel. The Radian® In-Line Carousel provides a fully automated solution for accurate disk diffusion AST, reducing workload and improving standardization and traceability. In addition, our study demonstrated the thermostability of antibiotic disks up to 4 days in the WASP Radian® In-Line Carousel.

Evaluation of the QMAC-dRAST System Version 2.5 for Rapid Antimicrobial Susceptibility Testing of Gram-Negative Bacteria From Positive Blood Culture Broth and Subcultured Colony Isolates.

Rapid antimicrobial susceptibility testing (AST) for bloodstream infections (BSIs) facilitates the optimization of antimicrobial therapy, preventing antimicrobial resistance and improving patient outcomes. QMAC-dRAST (QuantaMatrix Inc., Korea) is a rapid AST platform based on microfluidic chip technology that performs AST directly using positive blood culture broth (PBCB). This study evaluated the performance of QMAC-dRAST for Gram-negative bacteria using PBCB and subcultured colony isolates, comparing it with that of VITEK 2 (bioMérieux, France) using broth microdilution (BMD) as the reference method. We included 141 Gram-negative blood culture isolates from patients with BSI and 12 carbapenemase-producing clinical isolates of Enterobacterales spiked into blood culture bottles. QMAC-dRAST performance was evaluated using PBCB and colony isolates, whereas VITEK 2 and BMD were tested only on colony isolates. For PBCB, QMAC-dRAST achieved 92.1% categorical agreement (CA), 95.3% essential agreement (EA), with 1.8% very major errors (VMEs), 3.5% major errors (MEs), and 5.2% minor errors (mEs). With colony isolates, it exhibited 92.5% CA and 95.1% EA, with 2.0% VMEs, 3.2% MEs, and 4.8% mEs. VITEK 2 showed 94.1% CA and 96.0% EA, with 4.3% VMEs, 0.4% MEs, and 4.3% mEs. QMAC-dRAST yielded elevated error rates for specific antimicrobial agents, with high VMEs for carbapenems and aminoglycosides. The median time to result for QMAC-dRAST was 5.9 h for PBCB samples and 6.1 h for subcultured colony isolates. The QMAC-dRAST system demonstrated considerable strengths and comparable performance to the VITEK 2 system; however, challenges were discerned with specific antimicrobial agents, underlining a necessity for improvement.

Assessment of Medication Errors of Drugs in Emergency Department of a Tertiary Care Teaching Hospital

Background: Medication errors (MEs) are common in Indian hospitals which can cause significant harm to the patients. The emergency unit is a high-risk environment for irrational use of medication due to stressors and time sensitive nature of the service. Medication errors may occur at any stage of prescribing, documenting, dispensing, administration. Objective: This study was planned to assess incidence and various types of medication errors of drugs reported in emergency medicine department. Methodology: A prospective observational study was conducted for six months February 2022 to August 2022 in Navodaya medical college, hospital &amp; research centre with a sample size of 220. Data were collected from all hospitalized patients who are admitted in the emergency department in the hospital during the study period. Result: Among the 220 cases collected, 84(38.18%) cases are found medication errors. Total 163 number of drugs were reported as medication error. The majority of MEs was found prescribing error 92(56.44%), followed by administration error 67(41.11%), and 4(2.45%) dispensing error was found. Conclusion: In our study the majority types of errors we found prescription errors followed by administration error. Overlooked drug-drug interactions is the major problem or medication error in our emergency department. We believe that every healthcare professional should be aware of these medication errors and overcome the all types of errors.

Random forest-based multipath parameter estimation

Multipath is recognized as one of the major error sources for GNSS urban navigation. This study proposes a random forest (RF)-based multipath parameter estimator that uses random forest regression for parameter estimation, thereby mitigating multipath effect by removing the estimated reflected signal components. The proposed estimator is evaluated and compared with the multipath estimation delay-lock loop (MEDLL) for one-multipath and three-multipath cases, respectively. Simulation results demonstrate that the RF-based estimator is less affected by the front-end bandwidth of received signals, compared with MEDLL. The proposed RF-based estimator shows better performance than MEDLL for signals with front-end bandwidths of lower than 6 MHz. In 20 sets of tests on signals with a front-end bandwidth of 10 MHz in the three-multipath case, the RF-based estimator obtains smaller standard deviations than MEDLL. In experiments using real data with a front-end bandwidth of 2 MHz, the RF-based estimator reduces the 2D and 3D positioning errors by 8.5% and 8.7% over 180 epochs, respectively, against the conventional delayed-locked loop (DLL).

Implementing robust outlier detection to enhance estimation accuracy of GNSS-IR based seasonal snow depth retrievals

ABSTRACT Monitoring snow depth variations aligned with the seasonal cycle is crucial for studies on climate change and its impacts due to global warming. Especially in terms of snow hydrology, the determination and continuous monitoring of snow depth to determine snow water equivalent is a priority in climate, water science, drought, flood, and inundation prediction studies, particularly in the water cycle. Recently, the so-called Global Navigation Satellite Systems – Interferometric Reflectometry (GNSS-IR) method enables to extract environmental radiometric and geometric characteristics of surface where the signals transmitted from the satellites reflect. The reflected signal follows an extra path than the direct one and causes a major error source for accurate point positioning but a useful tool for sensing the environment. However, outliers remain a challenge in long-term GNSS-IR estimations. In this study, we proposed a median-based robust outlier detection (ROD) approach for identifying outliers in long-term GNSS-IR snow depth estimations. To validate our approach, we analysed 5-year GNSS L1 SNR and L2 SNR data from 1 January 2015 to 31 December 2019 provided by AB33 and AB39 GNSS stations in Alaska, U.S.A. using the GNSS-IR method. We validated GNSS-IR estimations using snow depth measurements from the Coldfoot and Fort Yukon stations in the SNOTEL network. Applying ROD to long-term snow depth estimates increased the highest correlation from 91.58% to 94.93%, and reduced the lowest RMSE from 8.6 cm to 6.7 cm. In addition, the improvement rates calculated to assess the contribution of ROD to the results showed improvements of up to 6.9% in correlation and 26.1% in RMSE. Overall, the results demonstrate that ROD can be effectively used to detect outliers in long-term GNSS-IR snow depth time series.

Comparative analysis of three methods for screening for colistin resistant &lt;i&gt;Escherichia coli&lt;/i&gt;

The usage of colistin regarded as a drug of last resort has increased tremendously in recent years. This increase has been followed by an increase in the development of colistin resistant bacteria. Due the large size of colistin and its ability to adhere to plastic, the broth microdilution method using a special medium is the recommended testing method. Resource limited settings struggle with this method and employ alternate methods. This study therefore set out to determine colistin resistance in a group of Escherichia coli using three different methods comprised of colistin agar spot test (COL-AS), colistin drop test (COL-DT) and a disc diffusion method. A total of 51 Escherichia coli isolated from wound samples were screened for colistin resistance using the COLAS, COL-DT and colistin disc diffusion methods. Results showed a combined resistance rate of 96.1% among test isolates. Actual resistance rates varied between testing methods giving values of ranging from 37.3%, 66.0% and 88.2% for COL- DT, colistin disc diffusion methods and COL-A respectively. An assessment of test performance showed categorical agreement values and very major error values of 57.1%/36.7% for COL-DT and 63.3%/8.2% for COL-A. Results of this study show a high-level occurrence of colistin resistance among clinical Escherichia coli isolates. Furthermore, it demonstrates the superiority of the colistin agar test to the colistin drop test. It also points at a need to use higher concentrations of colistin in the screening tests.

Comparison of BD Phoenix and disk diffusion to broth microdilution for determining cefepime susceptibility among carbapenem-resistant Enterobacterales.

There are increasing reports of carbapenem-resistant Enterobacterales (CRE) that test as cefepime-susceptible (S) or susceptible-dose dependent (SDD). However, there are no data to compare the cefepime testing performance of BD Phoenix automated susceptibility system (BD Phoenix) and disk diffusion (DD) relative to reference broth microdilution (BMD) against carbapenemase-producing (CPblaKPC-CRE) and non-producing (non-CP CRE) isolates. Cefepime susceptibility results were interpreted according to CLSI M100Ed32. Essential agreement (EA), categorical agreement (CA), minor errors (miEs), major errors (MEs), and very major errors (VMEs) were calculated for BD Phoenix (NMIC-306 Gram-negative panel) and DD relative to BMD. Correlates were also analyzed by the error rate-bounded method. EA and CA for CPblaKPC-CRE isolates (n = 64) were <90% with BD Phoenix while among non-CP CRE isolates (n = 58), EA and CA were 96.6%, and 79.3%, respectively. CA was <90% with DD for both cohorts. No ME or VME was observed for either isolate cohort; however, miEs were >10% for CPblaKPC-CRE and non-CP CRE with BD Phoenix and DD tests. For error rate-bounded method, miEs were <40% for IHigh + 1 to ILow - 1 ranges for CPblaKPC-CRE and non-CP CRE with BD Phoenix. Regarding disk diffusion, miEs were unacceptable for all MIC ranges among CPblaKPC-CRE. For non-CP CRE isolates, only IHigh + 1 to ILow - 1 range was acceptable at 37.2%. Using this challenge set of genotypic-phenotypic discordant CRE, the BD Phoenix MICs and DD susceptibility results trended higher (toward SDD and resistant phenotypes) relative to reference BMD results yielding lower CA. These results were more prominent among CPblaKPC-CRE than non-CP CRE.

Performance of modified colistin broth disc elution vis-a-vis broth microdilution method for susceptibility testing of Enterobacterales

Objectives: Recently, Clinical and Laboratory Standards Institute (CLSI) has approved colistin broth disc elution (CBDE) to be a supplemental test. This requires multiple discs and tubes to get the desired concentrations of colistin -1, 2, and 4 µg/mL and 10 mL volume of cation-adjusted Mueller–Hinton broth for a single isolate. The present study was aimed to evaluate the performance of CBDE in a microtiter plate format modified (mCBDE) with the reference method broth microdilution (BMD) for detection of colistin resistance in carbapenem-resistant Enterobacterales (CRE) isolates. Materials and Methods: One hundred and sixty non-duplicate clinical CRE isolates (May 2021–April 2022) were simultaneously subjected for BMD and mCBDE. For mCBDE, colistin 10 µg discs and Mueller–Hinton broth no-2 control cations were procured from HiMedia, Mumbai, and drug concentrations were prepared following CLSI-M100Ed31. Results of mCBDE were compared with reference BMD (Minimum inhibitory concentration [MIC] ≤2 µg/mL – intermediate and ≥4 µg/mL – resistant). Statistical Analysis: The performance of mCBDE was compared with BMD and expressed in terms of Categorical, essential agreement (EA), very major error (VME), and major error (ME). The sensitivity and specificity were calculated using Fisher’s contingency Table. Results: Of the 160 CRE isolates, 152 had exactly the same minimal inhibitory concentration (MIC) in both the tests with four isolates having higher and four having lower colistin MIC by mCBDE, giving a major error of 2.1% and VME of 5.5%. Categorical and essential agreement of mCBDE were 97.5% and 98.7%, respectively. Conclusions: mCBDE is an easy, economical, and reliable alternative test for determining colistin susceptibility for CRE isolates. Further, large-scale study is needed to strengthen our observation.

Comparison of Rapid Antibiotic Susceptibility Test Method Directly from Blood Culture Bottle with Standard Disc Diffusion Method

Aim: Early determination of antimicrobial susceptibility of sepsis pathogens is important. In this study, we aimed to compare the standard disc diffusion method with the rapid antimicrobial susceptibility testing (RAST) method performed directly from blood culture bottles. Material and Methods: Bacteria isolated from samples that gave a positive signal on the blood culture device between April 2019 and September 2019 were included in the study, and antimicrobial susceptibilities were determined by the standard disc diffusion method and the RAST method. Categorical agreement, small error, large error, very large error, and area of technical uncertainty ratios were recorded. Results: A total of 103 bacteria including 19 S. aureus, 10 Enterococcus spp. and 24 E. coli, 24 K. pneumoniae, 13 P. aeruginosa, and 13 A. baumannii were included in the study. When the RAST method was compared with the standard disc diffusion method, 100% agreement was found between the methods against imipenem, meropenem, gentamicin, and trimethoprim-sulfamethoxazole in E. coli isolates at all hours evaluated, and against meropenem in K. pneumoniae isolates at the 6th and 8th hour. For S. aureus and P. aeruginosa isolates, very major errors were found in the RAST results. For A. baumannii isolates, 100% agreement between methods was observed for many antibiotics. Conclusion: It was concluded that the RAST method is a simple and inexpensive test for life-threatening infections such as sepsis. It was also felt that similar studies should be carried out with a large number of isolates, as compliance rates vary depending on the bacteria tested.

Using the CLSI rAST breakpoints of Enterobacterales in positive blood cultures

ObjectivesThe objective of this study was to provide the clinic with rapid and accurate results of antimicrobial susceptibility testing for the treatment of patients with bloodstream infections. To achieve this, we applied the Clinical and Laboratory Standards Institute (CLSI) blood culture direct rapid antimicrobial susceptibility test (rAST) to assess the susceptibility of the most common Enterobacterales found in blood cultures. MethodsIn this study, we utilized the CLSI blood culture direct rapid antimicrobial susceptibility test to assess the susceptibility (rAST) of the most common Enterobacterales present in blood cultures. We chose this method for its simplicity in analysis, and our aim was to predict minimum inhibitory concentrations (MICs) using the rAST. As a benchmark, we assumed that Broth Macrodilution method (BMD) results were 100% accurate. For data evaluation, we employed the terms categorical agreement (CA), very major errors (VME), and major errors (ME). ResultsOur findings demonstrate that the CLSI rAST method is reliable for rapidly determining the in vitro susceptibility of Enterobacterales to common antimicrobial drugs in bloodstream infections. We achieved a concordance rate of 90% in classification within a 10-hour timeframe. We identified a total of 112 carbapenem-resistant Enterobacterales (CRE) strains, and there was no significant difference in the detection rate of CRE at 6, 10, and 16 hours. This suggests that CRE can be identified as early as 6 hours. ConclusionThe CLSI rAST is a valuable tool that can be utilized in clinical practice to quickly determine the susceptibility of Enterobacterales to antimicrobial drugs within 10 hours. This capability can greatly assist in the clinical management of patients with bloodstream infections.

An autonomous and high-accuracy gravity disturbance compensation scheme for rotary inertial navigation system

Abstract With the increasing demands for long-endurance and high-accuracy inertial navigation system (INS), gravity disturbance has been identified as one of the major error sources with decisive effects on the performance of INS. To address the problem, this paper proposes an autonomous and high-accuracy gravity disturbance compensation scheme for rotary INS (RINS). The high-accuracy velocity measured by the laser Doppler velocimeter is fused with the angular velocity measured by the gyroscope to obtain navigation parameters, such as velocity, position and attitude, that are not affected by gravity disturbance. The navigation parameters independent of gravity disturbance are matched with the gravity disturbance-related navigation parameters output by RINS, and a measurement model containing gravity disturbance information is obtained. Besides, the intrinsic coupling relationship between gravity disturbance, gravity disturbance rate and gravity disturbance gradient is revealed, and a state-space model is established to accurately reflect the time-varying characteristics of gravity disturbance. Furthermore, the gravity disturbance is estimated and compensated in real-time through the optimal estimation algorithm. The results of vehicle experiments indicate that the gravity disturbance estimation precision of the proposed scheme is better than 2.15 mGal (1σ), and its horizontal position accuracy is better than 50 m at a driving distance of 80 km.

Delineating patient errors in an intracavernosal injection program.

Intracavernosal injection therapy (ICI) is a well-established therapeutic strategy for men with erectile dysfunction. Complications are often related to patient error when performong ICI. The objective of this study was to examine patient errors in an established patient training program for performing ICI and identify factors that could predict major errors. Patients enrolled in our ICI program are trained on technical aspects, and dose titration is begun. Patients are given explicit instructions during training, both verbally and in written form. Records were reviewed for men using ICI for ≥6months. Multivariable analysis was used to define predictors of major errors. Errors were listed as minor (zero-response injection, penile bruising, expired medication) and major (errors potentially leading to priapism: dose self-titration, double injecting). Overall, 1368 patients met the inclusion criteria and were included in the analysis. The mean patient age was 66 ± 22 (range 29-91) years. Regarding education, 41% of patients had graduate-level education, 48% had college education, and 11% high school education. Mean follow-up was 3.2 ± 7.6 (range 0.5-12) years. The agents used were trimix (62%), bimix (35%), papaverine (2%), and prostaglandin E1 monotherapy (1%). At least 1 error occurred during self-administration in 42% of patients during their time in the program. Errors included zero response to medication due to technical error (8% of patients), penile bruising (34%), use of an expired bottle (18%), self-titration (5%), and double injecting (4% of patients); 12% of men committed ≥1 error during their time in the program. On multivariable analysis, independent predictors of the occurrence of a major error included: young age, graduate-level education, and <12months of injection use. To the best of our knowledge, this is the first reported study to investigate ICI errors and risk factors. The identification of factors predictive of major errors allows for more tailored and intensive training in this subset of patients. Strengths of this study include a large patient population (1386 men) with a considerable follow-up time. Additionally, the rigorous training, education, and monitoring of the participants, as well as the use of formal definitions, enhances the accuracy and reliability of the results. Despite the strengths of the study, recall bias may be a limitation concern. The majority of patients were error free, and the majority of the errors were minor in nature. Major errors occurred in <10% of patients. Younger age, graduate-level education, and less experience with ICI were independent predictors of major errors.

In vitro activity of cefiderocol against carbapenem-resistant Acinetobacter baumannii carrying various β-lactamase encoding genes

ObjectivesThis study aimed to determine the in vitro efficacy of cefiderocol in carbapenem-resistant Acinetobacter baumannii (CRAB) isolates and evaluate the disk-diffusion (DD) method as an alternative method to broth-microdilution (BMD).MethodsTotally 89 CRAB isolates were included. Cluster analysis was determined by Pulsed-Field Gel Electrophoresis (PFGE). Resistance genes; blaOXA−51, blaOXA−23, blaOXA−24, blaOXA−58,blaPER−1, blaNDM, blaIMP and mcr-1 were screened. Cefiderocol susceptibility testing was performed by both DD and BMD. Interpretation was made according to EUCAST and CLSI. Categorical agreement (CA), minor errors (mEs), major errors (MEs), and very major errors (VMEs) were determined.ResultsPFGE revealed 5 distinct pulsotypes; 86 of the isolates were extensively drug-resistant (XDR). All the isolates were negative for blaNDM, blaIMP, mcr-1, while positive for blaOXA−58 and blaOXA51. blaPER−1 was positive for 33.7%; blaOXA−23 for 74.2%; blaOXA−24 for 12.3%. According to CLSI, the MEs rate was 1.85%, mEs was 7.86% and there were no VMEs. According to EUCAST, MEs rate was 3.70%, there were no mEs and VMEs. CA was 91% for CLSI and 97.8% for EUCAST. MICs of cefiderocol against A. baumannii isolates ranged from 0.06 to > 128 mg/L, with MIC50 and MIC90 values of 0.5 and > 128 mg/L, respectively.ConclusionsCefiderocol susceptibility was 60.7% in CRAB isolates. MIC50, MIC90 of blaPER−1 positive and blaPER−1 negative groups were > 128/>128 and 0.25/>128 mg/L. A correlation between the presence of blaPER−1 and cefiderocol resistance was observed (p < 0.0001). Among colistin-resistant isolates, the presence of blaPER−1 was 47.1% and 75% of them were resistant to cefiderocol respectively.