Tag: pubmed

Microbiol Spectr. 2022 Sep 20:e0175222. doi: 10.1128/spectrum.01752-22. Online ahead of print.

ABSTRACT

Meteorological phenomena such as warm summer temperatures and increased numbers of sunlight hours have repeatedly been hypothesized to be associated with infectious diseases and an increased prescription of antimicrobial compounds in Danish aquaculture. To address this hypothesis, we prepared statistical models incorporating aquaculture production data from Danish Aquaculture, detailed records on prescription of antimicrobials from the Danish VETSTAT program, and meteorological data from 2001 to 2019 from the Danish Meteorological Institute. Separate series of models were made and refined for land-based and marine production, respectively. For both production forms, the models identify summer sunlight hours as having a significant influence on antimicrobial use. In addition to summer sunlight, spring sunlight and water temperature were integral, although not statistically significant, parameters when modeling antimicrobial use in marine production. Although the extensive availability and accuracy of relevant data are associated with Danish production, we believe the results allow for more general conclusions on the influence of meteorological parameters on outbreaks of bacterial pathogens in international aquaculture. Such insights could have a substantial impact on prophylactic strategies, fish husbandry, and our understanding of how increasing temperatures may affect future antimicrobial usage in the global aquaculture industry. IMPORTANCE Global aquaculture production has been rapidly increasing for decades and is set to play a pivotal role in feeding a growing human population. Along with the growth in aquaculture production, the annual global use of antimicrobials is estimated to increase by one-third between 2017 and 2030. Using detailed antimicrobial prescription records as a proxy for outbreaks, we were able to evaluate the effects of a variety of meteorological parameters through statistical modeling. Our results lend scientific support to informal observations from the industry, but more importantly, this study provides novel, essential information on the importance of abiotic factors that can, in turn, lead to improved prophylactic efforts and thus help to reduce antimicrobial use in global aquaculture.

PMID:36122183 | DOI:10.1128/spectrum.01752-22

IEEE J Biomed Health Inform. 2022 Sep 19;PP. doi: 10.1109/JBHI.2022.3207416. Online ahead of print.

ABSTRACT

Breathing pattern has been shown to be different in chronic obstructive pulmonary disease (COPD) patients compared to healthy controls during rest and walking. In this study we evaluated respiratory parameters and the breathing variability of COPD patients as a function of their severity. Thoracic bioimpedance was acquired on 66 COPD patients during the performance of the six-minute walk test (6MWT), as well as 5 minutes before and after the test while the patients were seated, i.e. resting and recovery phases. The patients were classified by their level of airflow limitation into moderate and severe groups. We characterized the breathing patterns by evaluating common respiratory parameters using only wearable bioimpedance. Specifically, we computed the median and the coefficient of variation of the parameters during the three phases of the protocol, and evaluated the statistical differences between the two COPD severity groups. We observed significant differences between the COPD severity groups only during the sitting phases, whereas the behavior during the 6MWT was similar. Particularly, we observed an inverse relationship between breathing pattern variability and COPD severity, which may indicate that the most severely diseased patients had a more restricted breathing compared to the moderate patients.

PMID:36121947 | DOI:10.1109/JBHI.2022.3207416

IEEE J Biomed Health Inform. 2022 Sep 19;PP. doi: 10.1109/JBHI.2022.3207502. Online ahead of print.

ABSTRACT

Recently a number of studies demonstrated impressive performance on diverse vision-language multi-modal tasks such as image captioning and visual question answering by extending the BERT architecture with multi-modal pre-training objectives. In this work we explore a broad set of multi-modal representation learning tasks in the medical domain, specifically using radiology images and the unstructured report. We propose Medical Vision Language Learner (MedViLL), which adopts a BERT-based architecture combined with a novel multi-modal attention masking scheme to maximize generalization performance for both vision-language understanding tasks (diagnosis classification, medical image-report retrieval, medical visual question answering) and vision-language generation task (radiology report generation). By statistically and rigorously evaluating the proposed model on four downstream tasks with three radiographic image-report datasets (MIMIC-CXR, Open-I, and VQA-RAD), we empirically demonstrate the superior downstream task performance of MedViLL against various baselines, including task-specific architectures. The source code is publicly available at: https://github.com/SuperSupermoon/MedViLL.

PMID:36121943 | DOI:10.1109/JBHI.2022.3207502

J Osteopath Med. 2022 Sep 20. doi: 10.1515/jom-2021-0273. Online ahead of print.

ABSTRACT

CONTEXT: Point-of-care ultrasound (POCUS) has widespread utilization in multiple clinical settings. It has been shown to positively influence clinician confidence in diagnosis and can help appropriately manage patients in acute care settings. There has been a growing trend of increased emphasis on incorporating POCUS training in the first 2 years of the medical school curriculum.

OBJECTIVES: This article aims to analyze the clinical use of POCUS in acute settings and how training early in medical school may strengthen clinician confidence and utilization.

METHODS: An anonymous 10-question survey on POCUS use was conducted via a secure online platform and distributed to board-certified practicing physicians (MDs and DOs) with educational agreements with Midwestern University (MWU) across acute care specialties. This included preceptors within the MWU graduate medical education clinical consortium. Survey questions were aimed at assessing frequency of use, machine type, reasons for utilizing POCUS, initial ultrasound training, confidence in performing/interpreting POCUS, and perceived impact on patient outcomes. Surveys less than 50% complete were excluded. All surveys returned were more than 50% complete and thus included in the study. Statistical analyses were conducted utilizing the statistical software R version 4.0.

RESULTS: Surveys were sent out to 187 participants with 68 responses (36.4% response rate). The survey results demonstrated a relationship between learning POCUS earlier in one’s medical career (medical school, residency, or fellowship) to increased use in acute settings when compared to learning POCUS during clinical practice. Of the 68 respondents, 65 (95.6%) indicated that they agree or strongly agree that POCUS use improves patient care, and 64 (94.1%) indicated that they agree or strongly agree that the use of POCUS can improve patient outcomes.

CONCLUSIONS: Our survey of acute care physicians indicated that most respondents utilize POCUS daily or weekly (90.8%), and this was related to fewer years of practice (under 10 years from medical school graduation, 94.6%). Moreover, POCUS was utilized primarily in acute care settings for procedures (25%, n=17/68 respondents). These survey results indicate that early integration of POCUS education in osteopathic medical school curricula and throughout fellowship training could likely enhance POCUS utilization in acute care settings.

PMID:36121935 | DOI:10.1515/jom-2021-0273

Can Urol Assoc J. 2022 Aug 30. doi: 10.5489/cuaj.7833. Online ahead of print.

ABSTRACT

INTRODUCTION: Effective medical dissolution therapy (MDT) for uric acid stones is more cost-effective than surgical treatment; however, treatment failure may be associated with increased cost. We aimed to study the cost-effectiveness of MDT for uric acid stones vs. surgical management.

METHODS: We performed a retrospective study within our institution of all patients receiving MDT for uric acid stones from 2008-2019. All patients had a known history of uric acid stones, urine pH ≤5.5, and <500 Hounsfield units on preoperative computed tomography (CT). The cost of treatment in the dissolution group was compared to the cost of primary surgical treatment in a theoretical matched cohort. Cost was estimated using local Medicare reimbursement scales. Statistical analysis was performed with SPSS Statistics.

RESULTS: A total of 28 patients were identified, of which 18 were included in the study. Complete and partial dissolution occurred in six (33%) and four (22%) patients, respectively. Five (28%) patients developed symptoms and underwent ureteral stent placement. Ureteroscopy and percutaneous nephrolithotomy (PCNL) were each performed in three (17%) patients in whom dissolution treatment was not effective on followup CT. Following dissolution trial, six (33%) patients had residual stone burden requiring surgical intervention. The average cost of treatment, including surgeries was $14 604 in the dissolution group vs. $17 680 in the surgical cohort. The average cost to achieve stone-free status in patients with complete, partial or no response to dissolution were $1675, $10 124, and $21 584, respectively, while primary surgical treatment for the same patients would cost $15 037, $10 901, and $20 511, respectively.

CONCLUSIONS: Successful MDT is highly cost-effective. Incomplete response to dissolution can stem from several reasons and contributes to higher costs and likely decreased quality of life.

PMID:36121885 | DOI:10.5489/cuaj.7833

PLoS One. 2022 Sep 19;17(9):e0274473. doi: 10.1371/journal.pone.0274473. eCollection 2022.

ABSTRACT

BACKGROUND: Medical undergraduates are at high risk of COVID-19 infection. Thus, conformance to healthy practices is advised to reduce disease transmission and control the current epidemic. The present study aimed to explore the relationship of knowledge, attitude, and practice (KAP) related to COVID-19 precautionary measures with the frequency of infection among medical students at an Egyptian University.

METHODS: A comparative cross-sectional study was conducted on 404 undergraduate medical students from different grades using a web-based self-administered anonymous questionnaire.

RESULTS: More than one-third of medical students (37.4%) were previously infected with COVID-19, where the majority (60.5%) were diagnosed with relevant signs and symptoms. Medical students with low levels of KAP experienced higher frequencies of infection than did other students. A statistically significant negative correlation was observed between the number of previous COVID-19 infections among medical students and their knowledge and attitude scores toward COVID-19. In addition, a statistically significant positive correlation was noted among KAP scores (P < 0.01).

CONCLUSION: Improving the knowledge, attitude, and conformance of medical students to precautionary measures toward COVID-19 may substantially reduce the risk and frequency of infection and, hence, reduce community transmission.

PMID:36121862 | DOI:10.1371/journal.pone.0274473

PLoS One. 2022 Sep 19;17(9):e0273780. doi: 10.1371/journal.pone.0273780. eCollection 2022.

ABSTRACT

The Indian Autism Screening Questionnaire (IASQ), derived from the Indian Scale for Assessment of Autism ISAA (the mandated tool for autism in India), is an autism screening instrument for use in the general population by minimally trained workers. While ISAA has 40 items with four anchor points, the IASQ is a 10-item questionnaire with yes/no answers. It was initially validated using the ISAA. During its development the ISAA was itself compared to the Childhood Autism Rating Scale version 1 (ISAA Manual). In the present study, we evaluated both the ISAA and the IASQ in relation to the Childhood Autism Rating Scale version 2 (CARS-2).

METHODS: Participants were recruited from three settings: a referral clinic for neurodevelopmental conditions run by the Department of Paediatrics of a tertiary care teaching hospital (NDC OPD), the outpatient department of an institute for disability and rehabilitation (NIEPID), and from the community (CGOC). Persons between ages 3-18 were recruited following consent or assent (parent and child/adolescent). The IASQ was administered by a minimally trained administrator. It was followed by ISAA and the CARS-2 (in alternating order, by different evaluators blind to each other) (CARS2 SV (Standard Version) and CARS2 HF (High Functioning) as applicable). Sensitivity, specificity and area under the Receiver Operator Characteristics (ROC) curve were calculated for IASQ and CARS2, as well as for ISAA and CARS2. Concordance between CARS2 and ISAA was calculated using kappa coefficient.

RESULTS: A total of 285 participants (NIEPD n = 124; NDC OPD, n = 4; CGOC n = 157) (a total of 70 with autism and 215 controls) participated. IASQ and CARS2 were administered on 285 participants, while IASQ and ISAA were administered on 264 participants. When IASQ was compared to CARS2, sensitivity was 97%, specificity 81%, PPV 63%, NPV 99% at cut off 1 while these values were 97%, 92%, 79% and 99% respectively at cut off 2. There was high concordance between CARS2 and ISAA (Kappa 0.907, p<0.0001).

CONCLUSIONS: IASQ has satisfactory sensitivity, specificity and concordance when compared with CARS2; it can be used for screening children with autism in community. The ISAA also showed a high concordance with CARS2, as it had with the older version of CARS.

PMID:36121860 | DOI:10.1371/journal.pone.0273780

PLoS Comput Biol. 2022 Sep 19;18(9):e1010405. doi: 10.1371/journal.pcbi.1010405. Online ahead of print.

ABSTRACT

Forecasts based on epidemiological modelling have played an important role in shaping public policy throughout the COVID-19 pandemic. This modelling combines knowledge about infectious disease dynamics with the subjective opinion of the researcher who develops and refines the model and often also adjusts model outputs. Developing a forecast model is difficult, resource- and time-consuming. It is therefore worth asking what modelling is able to add beyond the subjective opinion of the researcher alone. To investigate this, we analysed different real-time forecasts of cases of and deaths from COVID-19 in Germany and Poland over a 1-4 week horizon submitted to the German and Polish Forecast Hub. We compared crowd forecasts elicited from researchers and volunteers, against a) forecasts from two semi-mechanistic models based on common epidemiological assumptions and b) the ensemble of all other models submitted to the Forecast Hub. We found crowd forecasts, despite being overconfident, to outperform all other methods across all forecast horizons when forecasting cases (weighted interval score relative to the Hub ensemble 2 weeks ahead: 0.89). Forecasts based on computational models performed comparably better when predicting deaths (rel. WIS 1.26), suggesting that epidemiological modelling and human judgement can complement each other in important ways.

PMID:36121848 | DOI:10.1371/journal.pcbi.1010405

PLoS Comput Biol. 2022 Sep 19;18(9):e1009540. doi: 10.1371/journal.pcbi.1009540. Online ahead of print.

ABSTRACT

Mathematical models of vector-borne infections, including malaria, often assume age-independent mortality rates of vectors, despite evidence that many insects senesce. In this study we present survival data on insecticide-resistant Anopheles gambiae s.l. from experiments in Côte d’Ivoire. We fit a constant mortality function and two age-dependent functions (logistic and Gompertz) to the data from mosquitoes exposed (treated) and not exposed (control) to insecticide-treated nets (ITNs), to establish biologically realistic survival functions. This enables us to explore the effects of insecticide exposure on mosquito mortality rates, and the extent to which insecticide resistance might impact the effectiveness of ITNs. We investigate this by calculating the expected number of infectious bites a mosquito will take in its lifetime, and by extension the vectorial capacity. Our results show that the predicted vectorial capacity is substantially lower in mosquitoes exposed to ITNs, despite the mosquitoes in the experiment being highly insecticide-resistant. The more realistic age-dependent functions provide a better fit to the experimental data compared to a constant mortality function and, hence, influence the predicted impact of ITNs on malaria transmission potential. In models with age-independent mortality, there is a great reduction for the vectorial capacity under exposure compared to no exposure. However, the two age-dependent functions predicted an even larger reduction due to exposure, highlighting the impact of incorporating age in the mortality rates. These results further show that multiple exposures to ITNs had a considerable effect on the vectorial capacity. Overall, the study highlights the importance of including age dependency in mathematical models of vector-borne disease transmission and in fully understanding the impact of interventions.

PMID:36121847 | DOI:10.1371/journal.pcbi.1009540

PLoS One. 2022 Sep 19;17(9):e0273929. doi: 10.1371/journal.pone.0273929. eCollection 2022.

ABSTRACT

The idea of biological evolution is not accepted by many people around the world, with a large disparity amongst countries. Some factors may act as obstacles to the acceptance of evolution, such as religion, a lack of openness to experience, and not understanding the nature of science. Although the strength of the association between evolution acceptance and non-scientific factors varies among studies, it is often assumed that resistance to evolution is the byproduct of a religious background. Some studies are even more specific and try to associate the acceptance of evolution with precise religious affiliations. We aimed to explore the strength of associations among nationality, religion, and the acceptance of evolution by students using multiple correspondence analysis (MCA) and statistical tools, with nationwide samples from two different countries. Here, we show that wider sociocultural factors predict the acceptance of evolution to a higher degree than a religious background. We carried out two nationwide data collections that allowed us to compare differences in the acceptance of evolution in Italy and Brazil by high school students who declare to belong to the same religion in the two countries. Roman Catholic students showed significant differences between the two countries, and the gap between them was wider than between Catholics and non-Catholic Christians within Brazil. Our conclusions support those who argue that religious affiliation is not the main factor in predicting the level of evolution acceptance. The sociocultural environment and the level of evolutionary knowledge seem to be more important in this regard. These results open up new interpretative perspectives and provide a better understanding of attitudes towards evolution.

PMID:36121835 | DOI:10.1371/journal.pone.0273929