Tag: nevin manimala

Comput Med Imaging Graph. 2021 Mar 26;90:101904. doi: 10.1016/j.compmedimag.2021.101904. Online ahead of print.

ABSTRACT

Medical image registration is a critical process for automated image computing, and ideally, the deformation field from one image to another should be smooth and inverse-consistent in order to bidirectionally align anatomical structures and to preserve their topology. Consistent registration can reduce bias caused by the order of input images, increase robustness, and improve reliability of subsequent quantitative analysis. Rigorous differential geometry constraints have been used in traditional methods to enforce the topological consistency but require comprehensive optimization and are time consuming. Recent studies show that deep learning-based registration methods can achieve comparable accuracy and are much faster than traditional registration. However, the estimated deformation fields do not necessarily possess inverse consistency when the order of two input images is swapped. To tackle this problem, we propose a new deep registration algorithm by employing the inverse consistency training strategy, so the forward and backward deformations of a pair of images can consistently align anatomical structures. In addition, since fine-tuned deformations among the training images reflect variability of shapes and appearances in a high-dimensional space, we formulate a group prior data modeling framework so that such statistics can be used to improve accuracy and consistency for registering new input image pairs. Specifically, we implement the wavelet principle component analysis (w-PCA) model of deformation fields and incorporate such prior constraints into the inverse-consistent deep registration network. We refer the proposed algorithm as consistent deep registration with group data modeling. Experiments on 3D brain magnetic resonance (MR) images showed that the unsupervised consistent deep registration and data modeling strategy yield consistent deformations after switching the input images and tolerated image variations well.

PMID:33964791 | DOI:10.1016/j.compmedimag.2021.101904

Am J Emerg Med. 2021 Apr 30;48:183-190. doi: 10.1016/j.ajem.2021.04.076. Online ahead of print.

ABSTRACT

BACKGROUND: One of the proposed benefits of expanding insurance coverage under the Affordable Care Act (ACA) was a reduction in emergency department (ED) utilization for non-urgent visits related to lack of health insurance coverage and access to primary care providers. The objective of this study was to estimate the effect of the 2014 ACA implementation on ED use in New York.

METHODS: We used the Healthcare Cost and Utilization Project State Emergency Department and State Inpatient Databases for all outpatient and all inpatient visits for patients admitted through an ED from 2011 to 2016. We focused on in-state residents aged 18 to 64, who were covered under Medicaid, private insurance, or were uninsured prior to the 2014 expansion. We estimated the effect of the expanded insurance coverage on average monthly ED visits volumes and visits per 1000 residents (rates) using interrupted time-series regression analyses.

RESULTS: After ACA implementation, overall average monthly ED visits increased by around 3.0%, both in volume (9362; 95% Confidence Intervals [CI]: 1681-17,522) and in rates (0.80, 95% CI:0.12-1.49). Medicaid covered ED visits volume increased by 23,972 visits (95% CI: 16,240 -31,704) while ED visits by the uninsured declined by 13,297 (95% CI:-15,856 – -10,737), and by 1453 (95% CI:-4027-1121) for the privately insured. Medicaid ED visits rates per 1000 residents increased by 0.77 (95% CI:-1.96-3.51) and by 2.18 (95% CI:-0.55-4.92) for those remaining uninsured, while private insurance visits rates decreased by 0.48 (95% CI:-0.79 – -0.18). We observed increases in primary-care treatable ED visits and in visits related to mental health and alcohol disorders, substance use, diabetes, and hypertension. All estimated changes in monthly ED visits after the expansion were statistically significant, except for ED visit rates among Medicaid beneficiaries.

CONCLUSION: Net ED visits by adults 18 to 64 years of age increased in New York after the implementation of the ACA. Large increases in ED use by Medicaid beneficiaries were partially offset by reductions among the uninsured and those with private coverage. Our results suggest that efforts to expand health insurance coverage only will be unlikely to reverse the increase in ED use.

PMID:33964693 | DOI:10.1016/j.ajem.2021.04.076

Int J Med Inform. 2021 Apr 24;151:104471. doi: 10.1016/j.ijmedinf.2021.104471. Online ahead of print.

ABSTRACT

AIM: The implementation of electronic health records (EHRs) in the aged care sector has been shown to improve efficiency and quality of care, administrative and funding processes. The aim of this study was to examine whether implementing EHRs and/or interventions leveraging EHRs in residential aged care facilities has any impact on health outcomes for residents and to review and summarise any published evidence.

METHODS: Using the Joanna Briggs Institute guidelines for conducting scoping reviews, we searched PubMed, CINAHL, Embase, Cochrane and Scopus databases for articles describing the impact of EHRs and/or EHR-based interventions on health outcomes for residents in residential aged care. We included journal articles published in English between 2009 and 2019. After identifying articles meeting the inclusion criteria, we extracted individual findings and produced a narrative summary.

RESULTS: Out of 6576 articles identified through database searches, seven met our inclusion criteria. The articles varied in study design, experimental methods, sample sizes and health outcomes assessed but there were no randomised controlled trials: four articles employed quantitative methods and three employed both quantitative and qualitative methods. The implementation of EHR-based interventions had positive impact on outcomes related to excessive weight loss, malnutrition, mobility, weighing of residents and use of antipsychotic medicines but had mixed impact (i.e., positive impact in some studies but non-significant or negative impact in others) on pressure ulcers, activities of daily living, behavioural symptoms, use of physical restraints and signs of depression. We also found that these interventions had no statistically significant impact on medication discrepancies, adverse drug events, falls or mortality.

CONCLUSION: In conclusion, research in this area is not yet comprehensive enough to reach a definitive conclusion on the impact of EHR-based interventions on health outcomes in residential aged care. As provider organisations increasingly implement EHRs, more research is needed to study their impact on resident health outcomes and examine how this impact eventuates.

PMID:33964704 | DOI:10.1016/j.ijmedinf.2021.104471

Sci Total Environ. 2021 Apr 28;786:147375. doi: 10.1016/j.scitotenv.2021.147375. Online ahead of print.

ABSTRACT

The introduction of non-indigenous species (NIS) is a major driver for global change in species biogeography, often associated with significant consequences for recipient ecosystems and services they provide for humans. Despite mandated by several high-level international legislative instruments, comprehensive quantitative evaluation on ecosystem impacts of marine NIS is scarce and lack a robust and data-driven assessment framework. The current study is aiming at fulfilling this gap, through quantitative assessment on the effects of the widespread NIS of the Baltic Sea on multiple ecosystem features and components including direct food-web effects. The outcomes of this study allowed identifying the most impacting widespread NIS, together with defining the processes underlying the most significant changes and outlined major sources of uncertainty. Lack and/or bias in the availability of evidence of impacts was recorded for several (both recent and early) introductions. Realizing a sophisticated, data and information-hungry framework for the evaluation of ecosystem impacts of NIS is not pragmatic for management purposes in the foreseeable future. Instead, simple approaches, such as application of common statistical parameters like absolute effect size, are more likely to result in tangible outcomes. As bearing no unit, effect sizes can be later easily aggregated across taxa, affected ecosystem features or spatial scales. The proposed approach enables performing systematic comparisons on the severity of impacts of different NIS along different study disciplines and ecosystems.

PMID:33964771 | DOI:10.1016/j.scitotenv.2021.147375

Int J Pediatr Otorhinolaryngol. 2021 Apr 28;146:110741. doi: 10.1016/j.ijporl.2021.110741. Online ahead of print.

ABSTRACT

OBJECTIVES: To investigate and identify the concerns and opinions expressed in both parental and provider posts on social media about ankyloglossia.

METHODS: In this study, posts on Twitter between 1/1/2008 and 12/31/2018 were collected using search terms and hashtags specific to pediatric ankyloglossia. The search terms included a primary phrase to indicate ankyloglossia along with a pediatric identifier. Tweets that met inclusion criteria were analyzed qualitatively via conventional content analysis. After all tweets were categorized, descriptive statistics were completed to determine frequency of each theme.

RESULTS: In total, 5951 tweets were retrieved. Parents authored 982 (16.5%) of tweets, and 782 (13.1%) were by providers. The remaining 4187 tweets did not fit criteria for either the parent or provider groups. Amongst parents, the most common themes mentioned were feeding problems (309 tweets [32.4%]), followed by lip tie (215 [22.5%]), anxiety or emotion (207 [21.7%]), and maternal breastfeeding complications (127 [13.3%]). The number of tweets about ankyloglossia and frenotomy in 2018 had increased by 2395% since 2009. Amongst providers, 215 tweets were judged by the coders to provide an opinion on ankyloglossia, of which 94.4% had a pro-frenotomy sentiment. When a specialty was identified, tweets were most often by dentists (250 [31.9%]), followed by lactation consultants and International Board Certified Lactation Consultants (IBCLCs) (157 [29.7%]) and non-otolaryngologist physicians (79 [10.1%]). Otolaryngologists accounted for 8.7% (68 tweets) of posts about ankyloglossia.

CONCLUSION: Our findings demonstrate the spectrum of opinions that exist among both parents and providers about ankyloglossia. This can aid in shared-decision making by enabling the counseling provider to guide recommendations based on medical evidence with the understanding that there is a large amount of non-scientific information and opinions disseminated that may be shaping decisions.

PMID:33964675 | DOI:10.1016/j.ijporl.2021.110741

Leg Med (Tokyo). 2021 May 1;52:101901. doi: 10.1016/j.legalmed.2021.101901. Online ahead of print.

ABSTRACT

One of the most common ways to assess the age in subadults using dental records is the Demirjian method. As the number of the studies using this method increased significantly in the recent years, and as their results were often conflicting, we investigated the accuracy of the method. We performed a systematic review and meta-analysis of observational studies obtained from Pubmed, using a random-effects model with the DerSimonian-Laird estimator, and raw mean difference for effect size measure. Prediction intervals (at 95%) were used to assess the presence of significant statistical differences between chronological and dental age. Our meta-analysis showed that Demirijan’s method overestimated dental age by 0.48 years in girls and 0.51 in boys. Depending on the location and sex, in girls the smallest average overestimation was found in Asia (except India), with a value of 0.36 years, and the largest overestimation in Turkey/Arabia, with a value of 0.66 years. In boys, the smallest average overestimation was found in India (0.45 years), but Asia (except India), Africa – both with 0.46 years and Oceania – with 0.47 years were close, while the largest overestimation was found in Turkey/Arabia, with an average value of 0.63 years. The Demirjian method overestimated the age by about half a year for both sexes. Even if there are some geographical/ethnic differences, they are rather small, making the method useful irrespective of the ethnic profile of the subjects.

PMID:33964679 | DOI:10.1016/j.legalmed.2021.101901

Am J Emerg Med. 2021 Apr 29;48:177-182. doi: 10.1016/j.ajem.2021.04.075. Online ahead of print.

ABSTRACT

STUDY OBJECTIVE: To develop a novel predictive model for emergency department (ED) hourly occupancy using readily available data at time of prediction with a time series analysis methodology.

METHODS: We performed a retrospective analysis of all ED visits from a large academic center during calendar year 2012 to predict ED hourly occupancy. Due to the time-of-day and day-of-week effects, a seasonal autoregressive integrated moving average with external regressor (SARIMAX) model was selected. For each hour of a day, a SARIMAX model was built to predict ED occupancy up to 4-h ahead. We compared the resulting model forecast accuracy and prediction intervals with previously studied time series forecasting methods.

RESULTS: The study population included 65,132 ED visits at a large academic medical center during the year 2012. All adult ED visits during the first 265 days were used as a training dataset, while the remaining ED visits comprised the testing dataset. A SARIMAX model performed best with external regressors of current ED occupancy, average department-wide ESI, and ED boarding total at predicting up to 4-h-ahead ED occupancy (Mean Square Error (MSE) of 16.20, and 64.47 for 1-hr- and 4-h- ahead occupancy, respectively). Our 24-SARIMAX model outperformed other popular time series forecasting techniques, including a 60% improvement in MSE over the commonly used rolling average method, while maintaining similar prediction intervals.

CONCLUSION: Accounting for current ED occupancy, average department-wide ESI, and boarding total, a 24-SARIMAX model was able to provide up to 4 h ahead predictions of ED occupancy with improved performance characteristics compared to other forecasting methods, including the rolling average. The prediction intervals generated by this method used data readily available in most EDs and suggest a promising new technique to forecast ED occupancy in real time.

PMID:33964692 | DOI:10.1016/j.ajem.2021.04.075

Arch Oral Biol. 2021 Apr 25;127:105130. doi: 10.1016/j.archoralbio.2021.105130. Online ahead of print.

ABSTRACT

OBJECTIVES: This study was designed to establish a Reference Data Set for Dental Age Estimation of young Kuwaiti subjects.

DESIGN: Dental Panoramic Tomographs of 1393 Kuwaiti children, adolescents, and young adults aged between 3 and 26 years were re-used to establish a Reference Data Set. The Tooth Development Stages described by Demirjian et al. in 1973 was used to assess all the teeth on the left side of the Maxilla and the Mandible. The Accuracy and Precision of Dental Age Estimation for Kuwaiti children and adolescents was investigated by calculating the age of children using 50 females and 50 males of known age separate from the main study sample. This was the Validation Sample. Summary data for the individual Tooth Development Stages, comprising the number, mean, and standard deviation were used to estimate the age of the subjects in the Validation Sample using the Simple Average Method to calculate the Dental Age.

RESULTS: There was no statistically significant difference between the Chronological Age and the Dental Age in males with a mean difference of 0.14 years (1.75 months). The difference in females was significant at -0.33 years (-4.1 months).

CONCLUSIONS: These data demonstrate that estimated Dental Age in Kuwaiti females is close, just over 4 months, and is very close, in males within 1.75 months of the Chronologic Age.

PMID:33964647 | DOI:10.1016/j.archoralbio.2021.105130

Prostaglandins Leukot Essent Fatty Acids. 2021 Apr 24;169:102283. doi: 10.1016/j.plefa.2021.102283. Online ahead of print.

ABSTRACT

BACKGROUND: The roles of omega-3 (n3) fatty acids [eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA)] and low-dose aspirin in the primary prevention of ischemic cardiovascular disease (CVD) are controversial. Since omega-3 (n3) fatty acids and aspirin affect cyclooxygenase activity in platelets, there could be a clinically-relevant effect of aspirin combined with a particular n3 fatty acid level present in each individual.

METHODS: RBC EPA+DHA, arachidonic acid (AA) and docosapentaenoic acid (DPA) were measured in 2500 participants without known CVD in the Framingham Heart Study. We then tested for interactions with reported aspirin use (1004 reported use and 1494 did not) on CVD outcomes. The median follow-up was 7.2 years.

RESULTS: Having RBC EPA+DHA in the second quintile (4.2-4.9% of total fatty acids) was associated with significantly reduced risk for future CVD events (relative to the first quintile, <4.2%) in those who did not take aspirin (HR 0.54 (0.30, 0.98)), but in those reporting aspirin use, risk was significantly increased (HR 2.16 (1.19, 3.92)) in this quintile. This interaction remained significant when adjusting for confounders. Significant interactions were also present for coronary heart disease and stroke outcomes using the same quintiles. Similar findings were present for EPA and DHA alone but not for DPA and AA.

CONCLUSIONS: There is a complex interaction between aspirin use and RBC EPA+DHA levels on CVD outcomes. This suggests that aspirin use may be beneficial in one omega-3 environment but harmful in another, implying that a personalized approach to both aspirin use and omega-3 supplementation may be needed.

PMID:33964664 | DOI:10.1016/j.plefa.2021.102283

Environ Int. 2021 May 5;155:106590. doi: 10.1016/j.envint.2021.106590. Online ahead of print.

ABSTRACT

It has been known for a long time that incomplete combustion processes produce by-products that are harmful to human health. Particularly high concentrations of such by-products can arise in indoor environments when operating open flames without venting. The emission behavior of many combustion sources, including candles, has already been examined in detail. However, to date there are no studies in which the chemical composition of the candles is known exactly or where the candles were specifically manufactured for comparative measurements. In this respect, the study presented here, which was designed in collaboration with candle manufacturers and fragrance houses, demonstrates new insights into the emissions of burning candles depending on their composition. All investigations were carried out under controlled climatic conditions in an 8 m³ stainless steel chamber. Combinations of four different fuels (waxes) and five different fragrances in addition to one set of unscented control candles were examined. This resulted in 24 experiments, 20 with scented candles and four with unscented candles. The typical combustion gases carbon monoxide, carbon dioxide and NO_x, organic compounds, such as formaldehyde, benzene, and polycyclic aromatic hydrocarbons, PM_2.5 and ultrafine particles were monitored in the chamber air and the emission rates were determined. The data were statistically evaluated using parametric and non-parametric methods as well as hierarchical cluster analysis. Exposure scenarios typical for indoor environments were calculated from the emission rates and the results were compared with indoor guidance and reference values. As expected, a multitude of gaseous and particulate emissions were detected. These were typical combustion products as well as evaporated constituents of the fragrance mixtures. In most cases, the calculated indoor concentrations were well below the respective guidance and reference values. The exceptions observed in some cases for nitrogen dioxide, acrolein and benzo[a]pyrene are discussed critically.

PMID:33964641 | DOI:10.1016/j.envint.2021.106590