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Nevin Manimala Statistics

High spatiotemporal variability of methane concentrations challenges estimates of emissions across vegetated coastal ecosystems

Glob Chang Biol. 2022 Mar 27. doi: 10.1111/gcb.16177. Online ahead of print.

ABSTRACT

Coastal methane (CH4 ) emissions dominate the global ocean CH4 budget and can offset the “blue carbon” storage capacity of vegetated coastal ecosystems. However, current estimates lack systematic, high-resolution, and long-term data from these intrinsically heterogeneous environments, making coastal budgets sensitive to statistical assumptions and uncertainties. Using continuous CH4 concentrations, δ13 C-CH4 values, and CH4 sea-air fluxes across four seasons in three globally pervasive coastal habitats, we show that the CH4 distribution is spatially patchy over meter-scales and highly variable in time. Areas with mixed vegetation, macroalgae, and their surrounding sediments exhibited a spatiotemporal variability of surface water CH4 concentrations ranging two orders of magnitude (i.e., 6 – 460 nM CH4 ) with habitat-specific seasonal and diurnal patterns. We observed (1) δ13 C-CH4 signatures that revealed habitat-specific CH4 production and consumption pathways, (2) daily peak concentration events that could change >100% within hours across all habitats, and (3) a high thermal sensitivity of the CH4 distribution signified by apparent activation energies of ∼1 eV that drove seasonal changes. Bootstrapping simulations show that scaling the CH4 distribution from few samples involves large errors, and that ∼50 concentration samples per day are needed to resolve the scale and drivers of the natural variability and improve the certainty of flux calculations by up to 70%. Finally, we identify northern temperate coastal habitats with mixed vegetation and macroalgae as understudied but seasonally relevant atmospheric CH4 sources (i.e., releasing ≥100 μmol CH4 m-2 day-1 in summer). Due to the large spatial and temporal heterogeneity of coastal environments, high-resolution measurements will improve the reliability of CH4 estimates and confine the habitat-specific contribution to regional and global CH4 budgets.

PMID:35340089 | DOI:10.1111/gcb.16177

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Nevin Manimala Statistics

Implementation of the Recovery Guide in inpatient mental health services in Sweden-A process evaluation study

Health Expect. 2022 Mar 27. doi: 10.1111/hex.13480. Online ahead of print.

ABSTRACT

BACKGROUND: Involving service users in inpatient care and recovery planning has gained interest worldwide. Our purpose was to evaluate the process of implementation of a coproduced Recovery Guide (RG) intervention in 22 inpatient wards in Sweden, in terms of context, implementation process and mechanisms of impact over 12 months.

METHODS: A mixed method design and a process evaluation framework were used to guide data collection and to deductively analyze perspectives and descriptive statistics of delivery from three stakeholder groups.

RESULTS: Results showed that although initial contextual barriers were present (e.g., lack of resources, and interest, uncertainty in the organization, a dominant illness perspective), it was possible to implement the RG in 14 wards, where 53% of admitted service users received the intervention. Legitimacy of the intervention, engaged managers and staff, capacity of staff and ward organization, coproduction and continuous support from user organization were critical mediators. Mechanisms of impact concerned (1) a new perspective on mental health, well-being and recovery, (2) capacity building of a recovery approach in inpatient settings and (3) a meaningful outlet for users’ thoughts and feelings on recovery, sharing narratives and influencing care and goals.

CONCLUSIONS: The RG intervention has the potential to promote a recovery approach in inpatient mental health services (MHSs). Coproduction among stakeholders created trust and a sustainable implementation that made it possible for wards to resume implementation when contextual barriers had been resolved.

PATIENT AND PUBLIC CONTRIBUTION: The current study involved stakeholders including a service user organization, the public, first-line managers and staff (including peer support workers) in inpatient and community MHS and researchers, who greatly contributed to the implementation programme, including codesign of the RG intervention as well as coproduction of the implementation in inpatient MHS. All authors have their own lived experiences of mental health problems as a service user or as a relative.

PMID:35340092 | DOI:10.1111/hex.13480

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Nevin Manimala Statistics

Surface characteristics and adhesion of veneering composite resin to PAEK based substructure restorative materials

J Prosthodont. 2022 Mar 27. doi: 10.1111/jopr.13511. Online ahead of print.

ABSTRACT

PURPOSE: To evaluate and compare the shear bond strength (SBS) of composite veneering material to polyetherketoneketone (PEKK), polyetheretherketone (PEEK), zirconia (YZ) and nickel-chromium alloy (NiCr) substructure restorative materials.

MATERIALS AND METHODS: Forty samples (12 × 2 mm) were prepared from four materials: PEKK, PEEK, zirconia, and NiCr alloy (n = 10). The Vickers hardness (VHN) was evaluated before preparing the surface for bonding by shot-blasting using 110 μm Al2 O3 particles. The surface roughness (Ra) of each sample was determined using a non-contact optical profilometer. The veneering resin was bonded onto each sample following primer application. The prepared samples were then subjected to an SBS test using a universal testing machine at 0.5 mm/min crosshead speed. Failure modes and surface topography following de-bonding were assessed. The data were statistically analysed using ANOVA and Tukey’s post-hoc comparison test (p < 0.05). RESULTS: The highest and lowest mean surface roughness was observed in PEEK (3.45 ±0.13μm) and NiCr (1.87 ±0.07 μm) materials, respectively. A significant difference in roughness values was observed between the materials except for NiCr and YZ (p = 0.547). Concerning SBS, PEEK and NiCr exhibited the highest (16.23 ±0.96 MPa) and lowest (10.1 ±0.63 MPa) values. The mean difference in SBS indicated a statistically significant difference between the material groups (p < 0.01).

CONCLUSIONS: PEKK materials demonstrated significantly lower SBS than PEEK and significantly higher SBS values than conventional zirconia and alloy materials. A positive and significant correlation between mean roughness and SBS was observed, but the causality could be either intrinsic to the material or the roughness. This article is protected by copyright. All rights reserved.

PMID:35340086 | DOI:10.1111/jopr.13511

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Nevin Manimala Statistics

Are there disparities in access to robot-assisted laparoscopic surgery among pediatric urology patients? US institutional experience

Int J Urol. 2022 Mar 26. doi: 10.1111/iju.14866. Online ahead of print.

ABSTRACT

OBJECTIVE: Literature suggests access to robotic surgery varies by race and payer status. We seek to investigate whether disparities exist in robot-assisted laparoscopic surgery among the pediatric urology population at our tertiary academic medical center and, if so, to find plausible reasons why.

METHODS: Retrospective analysis identified patients who underwent open or robot-assisted laparoscopic surgery by a single surgeon at a tertiary care center between 2008 and 2019. Univariate and multivariate analyses determined the relationship of patient demographic and socioeconomic factors to procedure approach.

RESULTS: Among 356 patients, race, age, American Society of Anesthesiologists status, and year of surgery were significant by univariate analysis. Insurance status was not significant (P = 0.066). Multivariate analysis indicated that age, American Society of Anesthesiologists status, and year of surgery were statistically significant (P < 0.001, P = 0.005, P < 0.001). By multivariate logistic regression, Black and Hispanic patient race were not significant with an odds ratio of 0.60 (0.35-1.02) (P = 0.061). In 60.2% of open cases, open approach selection was attributable to complex pathology, limitations of robotic approach, and surgeon’s robot-assisted laparoscopic learning curve.

CONCLUSIONS: Optimal procedure approach was determined by case complexity and surgeon’s robot-assisted laparoscopic learning curve and was independent of patient race and payer status. This study did not find racial or socioeconomic disparities in robotic surgery within pediatric urology at our tertiary medical center, inconsistent with previous literature.

PMID:35340066 | DOI:10.1111/iju.14866

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Nevin Manimala Statistics

DNA image cytometry parameters to identify high-grade cervical lesions

Cytopathology. 2022 Mar 27. doi: 10.1111/cyt.13121. Online ahead of print.

ABSTRACT

OBJECTIVE: Evaluate the performance of different DNA image cytometry (DNA-ICM) ploidy parameters to categorize a DNA-ICM result, and consequently identify high-grade cervical intraepithelial neoplasia or worse (≥CIN2).

METHODS: Cervical samples from 232 women were collected for DNA-ICM analysis and biopsy confirmation. Five DNA parameters were used to define DNA aneuploidy: number of cells with exceeding events (EE) over 2.5cEE, 4cEE, 5cEE, 9cEE, and aneuploid stemlines. DNA-ICM results were categorized as normal, suspicious, and abnormal.

RESULTS: For individual DNA ploidy parameters, sensitivity for 50 cells with 2.5cEE, 45 cells with 4cEE, 1 cell with 9cEE and aneuploid stemline were 72.95%. 54.1%, 69.67% and 54.1%, while specificity were 80.0%, 90.0%, 89.09% and 95.45%, respectively. For 5cEE parameter, sensitivity for 1, 2, 3, 4 and 5 cells were 93.44%, 85.25%, 81.97%, 77.87% and 75.41%, while specificity were 46.36%, 63.64%, 74.55%, 76.36% and 80.91%, respectively. For categorized DNA-ICM results, a suspicious result revealed superior sensitivity to an abnormal result (87.70% vs 82.79%, P = 0.031), but inferior specificity (54.55% vs 75.45%, P <0.001). Both DNA-ICM results were statistically different from a normal result (P <0.05).

CONCLUSION: For prognostic purposes 1 cell with 9cEE, 45 cells with 4cEE and aneuploid stemline are the best parameters to categorize an abnormal DNA-ICM result, followed by 50 cells with 2.5cEE and 4 cells with 5cEE. For screening purposes, 10 cells with 2.5cEE, 10 cells with 4cEE, and 2 cells with 5cEE are suitable parameters to categorize a suspicious DNA-ICM result.

PMID:35340056 | DOI:10.1111/cyt.13121

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Nevin Manimala Statistics

Association between efficiency and quality of care of public healthcare facilities: Evidence from Pakistan

Int J Health Plann Manage. 2022 Mar 26. doi: 10.1002/hpm.3465. Online ahead of print.

ABSTRACT

BACKGROUND: Maternal and child health is an important component of the Sustainable Development Goals. Pakistan has one of the worst maternal and neonatal health outcomes in the world. This is despite significant health system investments across the country.

AIMS: The objectives of this study are twofold. First, the study estimates the technical efficiency of the public healthcare facilities in Pakistan, defined as the number of obstetric deliveries compared to the number of medical specialists, nurses, and other health and non-health staff members. Second, the study evaluates the relationship between efficiency and quality of care; the latter is measured in terms of maternal and neonatal mortality.

MATERIALS & METHODS: The data were taken from the Pakistan Health Facility Assessment Survey. Efficiency score was calculated for 843 public healthcare facilities, using Stochastic Frontier Analysis. We then used two-stage residual inclusion approach with bootstrapping to evaluate the relationship between efficiency and quality.

RESULTS AND DISCUSSION: The average efficiency score was 0.48 (range: 0-1) and none of the public healthcare facilities were on the frontier, implying that efficiency gains can be made across the board. The relationship between efficiency and quality is found to be positive and statistically significant, that is, more efficient healthcare facilities also had lower rates of maternal and neonatal mortality.

CONCLUSION: We conclude that more efficient public healthcare facilities also had lower mortality rates, probably due to better infrastructure and health system financing.

PMID:35340046 | DOI:10.1002/hpm.3465

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Nevin Manimala Statistics

Topical steroid withdrawal through the lens of social media

Clin Exp Dermatol. 2022 Mar 26. doi: 10.1111/ced.15194. Online ahead of print.

ABSTRACT

BACKGROUND: The term topical steroid withdrawal (TSW) describes an adverse effect that generally occurs with inappropriate prolonged use of high-potency topical corticosteroids (TCS). The presence of user-generated content relating to TSW on social media has not been well-defined to date.

OBJECTIVE: We aimed to explore content relating to topical steroid withdrawal on social media.

METHODS: Using a data analytics platform, we retrospectively analysed the hashtag #topicalsteroidwithdrawal on social media over a 5 year period, from the 8th of February 2016 until the 8th of February 2021. We assessed: interactions, performance, shares, likes, mentions, language and country of origin using descriptive statistics.

RESULTS: Across all social media platforms there was a 274% increase in mentions of the hashtag #topicalsteroidwithdrawal in the year 2020(7992) compared with the year 2016(2138). Top associated hashtags included #TSW, #eczema, and #topicalsteroidaddiction. On Instagram, we found a 288% increase in number of mentions and a 592% increase in performance of #topicalsteroidwithdrawal in 2020(618,354) when compared to 2016(89,390).

CONCLUSION: Our results confirm an increase in the presence of user-generated content relating to TSW on social media and also highlight its extent. Large numbers of patients are exposed to this content which could influence their engagement with TCS.

PMID:35340034 | DOI:10.1111/ced.15194

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Nevin Manimala Statistics

Analytical results for directional and quadratic selection gradients for log-linear models of fitness functions

Evolution. 2022 Mar 27. doi: 10.1111/evo.14486. Online ahead of print.

ABSTRACT

Log-linear models are widely used for assessing determinants of fitness in empirical studies, for example, in determining how reproductive output depends on trait values or environmental conditions. Similarly, theoretical works of fitness and natural selection employ log-linear models, often with a negative quadratic term, generating Gaussian fitness functions. However, in the specific application of regression-based analysis of natural selection, such models are rarely employed. Rather, OLS regression is the predominant means of assessing the form of natural selection. OLS regressions allow specific evolutionary quantitative parameters, selection gradients, to be estimated, and benefit from the fact that the associated statistical models are easily applied. We examine whether selection gradients can be directly expressed in terms of the coefficients of models using exponential fitness functions with linear or quadratic arguments. Such models can be easily fitted with generalised linear models (GLMs). The expressions we obtain coincide with those for Gaussian functions, but relax the major constraint that the (log) fitness function is concave (downwardly curved). Additionally these results lead to univariate and multivariate analyses of both linear and quadratic selection that potentially incorporate pragmatic and interpretable models of fitness functions, where the parameters can be related analytically to selection gradients, and that can be operationalised using widely-available statistical tools. This article is protected by copyright. All rights reserved.

PMID:35340021 | DOI:10.1111/evo.14486

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Nevin Manimala Statistics

Discriminating features of ground reaction forces in overweight old and young adults during walking using functional principal component analysis

Gait Posture. 2022 Mar 21;94:166-172. doi: 10.1016/j.gaitpost.2022.03.012. Online ahead of print.

ABSTRACT

BACKGROUND: Limited attention has been paid to age- or body size-related changes in the ground reaction forces (GRF) during walking despite their strong associations with lower limb injuries and pathology.

RESEARCH QUESTION: Do the features of GRF during walking associate with age or body size?

METHODS: Fifty-four participants were subdivided into four groups according to their age and body size: overweight old (n = 12), non-overweight old (n = 13), overweight young (n = 13), and non-overweight young (n = 16). Participants were asked to walk at their self-selected speeds on level ground with force plates embedded in the center of walkway. Functional principal component analysis (FPCA) was performed to extract major modes of variation and functional principal component scores (FPCs) in three-dimensional GRFs. Analysis of variance models were employed to investigate the effect of age, body size, or their interactions on the FPCs of each component of the GRF, with the adjustment to gait speed.

RESULTS: Significant age and body size effects were observed in FPC1 across all three-dimensional GRF. Both overweight and older groups showed greater braking force after heel-strike and greater propulsive forces during pre-swing when compared to the non-overweight and younger groups, respectively. The overweight old group displayed greater medial forces during mid-stance and the overweight young group showed prominently larger medial forces during pre-swing, while non-overweight old showed a tendency of flatter medial-lateral GRF waveforms during the entire stance phase. FPC2 revealed that only body size had an effect on three-dimensional GRF with the highest FPC2 scores in the overweight old group.

SIGNIFICANCE: Three-dimensional GRF during walking could be altered by the body size and age, which were more pronounced in the overweight and older group. The more dynamic GRF pattern with greater and/or lower peaks could be contributing factors to the increased joint load and injury rates observed in overweight aged individuals.

PMID:35339964 | DOI:10.1016/j.gaitpost.2022.03.012

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Nevin Manimala Statistics

Automatic scan range for dose-reduced multiphase CT imaging of the liver utilizing CNNs and Gaussian models

Med Image Anal. 2022 Mar 17;78:102422. doi: 10.1016/j.media.2022.102422. Online ahead of print.

ABSTRACT

Multiphase CT scanning of the liver is performed for several clinical applications; however, radiation exposure from CT scanning poses a nontrivial cancer risk to the patients. The radiation dose may be reduced by determining the scan range of the subsequent scans by the location of the target of interest in the first scan phase. The purpose of this study is to present and assess an automatic method for determining the scan range for multiphase CT scans. Our strategy is to first apply a CNN-based method for detecting the liver in 2D slices, and to use a liver range search algorithm for detecting the liver range in the scout volume. The target liver scan range for subsequent scans can be obtained by adding safety margins achieved from Gaussian liver motion models to the scan range determined from the scout. Experiments were performed on 657 multiphase CT volumes obtained from multiple hospitals. The experiment shows that the proposed liver detection method can detect the liver in 223 out of a total of 224 3D volumes on average within one second, with mean intersection of union, wall distance and centroid distance of 85.5%, 5.7 mm and 9.7 mm, respectively. In addition, the performance of the proposed liver detection method is comparable to the best of the state-of-the-art 3D liver detectors in the liver detection accuracy while it requires less processing time. Furthermore, we apply the liver scan range generation method on the liver CT images acquired from radiofrequency ablation and Y-90 transarterial radioembolization (selective internal radiation therapy) interventions of 46 patients from two hospitals. The result shows that the automatic scan range generation can significantly reduce the effective radiation dose by an average of 14.5% (2.56 mSv) compared to manual performance by the radiographer from Y-90 transarterial radioembolization, while no statistically significant difference in performance was found with the CT images from intra RFA intervention (p = 0.81). Finally, three radiologists assess both the original and the range-reduced images for evaluating the effect of the range reduction method on their clinical decisions. We conclude that the automatic liver scan range generation method is able to reduce excess radiation compared to the manual performance with a high accuracy and without penalizing the clinical decision.

PMID:35339951 | DOI:10.1016/j.media.2022.102422