Tag: pubmed

Vet Rec. 2022 Jul 16:e1971. doi: 10.1002/vetr.1971. Online ahead of print.

ABSTRACT

BACKGROUND: Liver lobe torsion (LLT) in rabbits can be under-recognised and potentially fatal. The clinical features of cases presented to an exotic animal veterinary service in Australia were retrospectively reviewed.

METHOD: Medical records of confirmed rabbit LLT cases between 2016 and 2021 were reviewed for signalment, clinical signs and findings, diagnostic imaging results, management strategies and outcomes. Variables of interest were analysed for statistical association with outcome.

RESULTS: A total of 40 rabbits were included. The mean presenting age was 56.2 months (SD 30.5). Neutered males (23/40, 57.5%) were over-represented. Common clinical signs and findings included reduced appetite (40/40, 100%), lethargy (32/40, 80.0%), reduced faecal production (16/40, 40.0%), a doughy distended stomach (20/40, 50.0%), pale mucous membranes (19/40, 47.5%) and hypothermia (17/40, 42.5%). Anaemia and elevated plasma alanine aminotransferase and blood urea nitrogen were common clinicopathologic findings. Computed tomography (CT) was performed in 34 of 40 rabbits, confirming the presence and position of LLT (34/34, 100%), stenosis of the caudal vena cava or portal system (28/34, 82.4%) and increased free peritoneal fluid (29/34, 85.3%). Fifteen (15/40, 37.5%) rabbits were medically managed, and surgical intervention was performed in 23 of 40 (57.5%) rabbits. Overall, 30 of 40 (75.0%) rabbits survived. Surgical intervention did not confer a significant difference in outcome compared to medical management (odds ratio 0.77, 95% confidence interval 0.15-4.10, p = 0.761).

CONCLUSION: CT can be an invaluable diagnostic modality for rabbit LLT. Favourable outcomes can be achieved in selected cases with medical management alone.

PMID:35841624 | DOI:10.1002/vetr.1971

Indian J Gastroenterol. 2022 Jul 16. doi: 10.1007/s12664-021-01228-x. Online ahead of print.

ABSTRACT

BACKGROUND: Successful completion of colonoscopy depends largely on the quality of bowel preparation. Polyethylene glycol (PEG) is a commonly used preparation for colonoscopy. The timing of bowel preparation has evolved from previous day evening to the currently recommended split-dose regimen. It was observed that consumption of entire or a portion of PEG on the previous day can interfere with work and sleep. Hence, we designed this single-blinded randomized controlled trial (RCT) to evaluate the efficacy, tolerability, and acceptability of the same-day PEG as compared with lowvolume split-dose PEG in patients undergoing late morning colonoscopy.

METHODS: A total of 384 patients were randomized to same-day (SD group; n = 192) and split-dose (SPL group; n = 192) bowel preparation. The patients in both the groups received bisacodyl 10 mg at bedtime on the day prior to colonoscopy. The patients in the SD group took 2 L of PEG between 5:00 AM and 7:00 AM on the day of colonoscopy. The SPL group took 1 L of PEG between 6:00 PM and 7:00 PM on the preceding day and another liter between 6:00 AM and 7:00 AM on the day of colonoscopy. The adequacy of bowel preparation was assessed using the Boston Bowel Preparation Scale (BBPS). Tolerability was scored by recording symptoms such as nausea, vomiting, bloating, and abdominal pain. Acceptability was based on the overall satisfaction, willingness to repeat the same preparation, and interference with sleep on the preceding night.

RESULTS: The median (interquartile range, [IQR]) BBPS in the SD group was 8 (6-9) while that in the SPL group was 6 (5-8) and this difference was statistically significant (p < 0.001). Similarly, a significantly higher proportion of patients in the SD group (86%) achieved adequate bowel preparation (BBPS score ≥ 6) when compared to those in the SPL group (73.4%) (p = 0.002). Tolerability as assessed by nausea, vomiting, bloating, and abdominal pain was similar in both the groups. There was also no significant difference with respect to overall satisfaction of taking bowel preparation (p = 0.33) or willingness to repeat the same regimen (p = 0.37) between the two groups. Patients in the SPL group had more interference with sleep on the preceding night (54% vs. 14.5%, p < 0.001).

CONCLUSION: Same-day morning PEG regimen can be considered an effective, well-tolerated, and acceptable bowel preparation for colonoscopy.

PMID:35841521 | DOI:10.1007/s12664-021-01228-x

Environ Sci Pollut Res Int. 2022 Jul 16. doi: 10.1007/s11356-022-21921-4. Online ahead of print.

ABSTRACT

The Cumulative Ordinary Kriging (COK) interpolation method has been proposed for the spatial prediction of atmospheric radioactive fallout in any given region. COK is built on the Ordinary Kriging and Cumulative Semivariogram methods and combines all their advantages to achieve statistically significant results. It is verified in this paper the reliability of the results from COK with other well-known Modified Shepard’s Method (MSM), Inverse Distance Square (INDSQ), Polynomial Regression (PR), Natural Neighbour (NN), Radial Basis (RB), and Kriging Method interpolation methods. The model is tested in detail and in every possible way in two and three dimensions and applied to real-time Cs-134 and Cs-137 radioactive fallout data from the Chernobyl and Fukushima reactor accidents by combining both experimental and theoretical results. The results obtained from the applications for all interpolation methods are included in the supplementary materials section at the end of the article for the benefit of the readers. COK can also be used for spatial modelling of any particle at micro or macro scale. It can contribute significantly to environmental quality, ecological, and human health.

PMID:35841508 | DOI:10.1007/s11356-022-21921-4

Environ Sci Pollut Res Int. 2022 Jul 16. doi: 10.1007/s11356-022-21944-x. Online ahead of print.

ABSTRACT

Aurelia aurita (AA), a legally registered harmful marine organism in South Korea, is damaging marine human leisure activities, local residents’ tourism income, fisheries, and cooling water intake at power plants. The government is therefore seeking to eradicate AA by removing AA-attached larvae (polyps). This article looks into the public willingness to pay (WTP) for the eradication, utilizing a contingent valuation. For the sake of eliciting the WTP response, the one-and-one-half-bounded (OB) model was adopted. For comparison, the single-bounded (SB) model, which uses only the response to the first question in the OB model, was also applied. A spike model with a considerable plausibility that could explicitly deal with zero WTP responses was employed. Consequently, the estimation results of the SB model were used for further policy analysis. The household average WTP was estimated as KRW 3,911 (USD 3.49) per year, securing statistical significance. The national value was KRW 80.46 billion (USD 71.71 million) per annum. This figure can be interpreted as public value of the AA eradication project and used as essential basic data to evaluate the economic feasibility of implementing the project. Some factors such as income and education level significantly positively affected the intention of paying a suggested bid.

PMID:35841502 | DOI:10.1007/s11356-022-21944-x

Prev Sci. 2022 Jul 16. doi: 10.1007/s11121-022-01405-0. Online ahead of print.

ABSTRACT

Beginning in 2010, the U.S. Department of Health and Human Services (HHS) sponsored numerous studies testing the effectiveness of Adolescent Pregnancy Prevention programs on youths’ risky sexual behaviors. This article presents results from a meta-analysis of such studies completed between 2015 and 2019 and provided to us by HHS. Studies were eligible for inclusion if they used an experimental/quasi-experimental design, included a comparison condition, assigned at least 10 study participants to each condition, and measured and reported at least one outcome related to sexual behavior or consequences. Data were extracted using a standardized coding protocol and outcomes were coded as, or transformed to, log odds ratio effect sizes for analysis and then transformed to odds ratio effect sizes for presentation in the text. All outcomes were coded such that log odds ratios greater than zero (odds ratios greater than 1) indicate beneficial effects (e.g., reductions in risky sexual behavior). A total of 52 studies met the inclusion criteria. Across 7 outcome types, pooled effects were generally small, the direction of effects was mixed, and none achieved statistical significance: recent pregnancy (OR = 1.30, 95% CI [1.00, 1.68]), ever had sex (OR = 1.07, 95% CI [0.99, 1.15]), recent sexual activity (OR = 0.95, 95% CI [0.84, 1.09]), recent unprotected sexual activity (OR = 1.05, 95% CI [0.96, 1.16]), ever pregnant (OR = 1.21, 95% CI [0.51, 2.89]), number of sexual partners (OR = 1.08, 95% CI = [0.28, 4.22]), and proportion of recent sexual experiences that were unprotected (OR = 0.74, 95% CI = [0.43, 1.31]). Moderator analyses pooling across all 7 outcome types indicated minor differences in program effectiveness between program settings, with those delivered in classroom settings being the least effective (b = – 0.17, 95% CI [- 0.33, – 0.01]). These findings do not lend meaningful support for the overall effectiveness of this group of pregnancy prevention programs. However, because the meta-analysis sample only included programs recently funded by HHS, these findings may have limited generalizability to programs funded by other entities or implemented in other countries.

PMID:35841494 | DOI:10.1007/s11121-022-01405-0

Prev Sci. 2022 Jul 16. doi: 10.1007/s11121-022-01408-x. Online ahead of print.

ABSTRACT

Health equity research has identified fundamental social causes of health, many of which disproportionately affect Black Americans, such as early life socioeconomic conditions, neighborhood disadvantage, and racial discrimination. However, the role of life course factors in premature mortality among Black Americans has not been tested extensively in prospective samples into later adulthood. To better understand how social factors at various life stages impact mortality, this study examines the effect of life course poverty, neighborhood disadvantage, and discrimination on mortality and factors that may buffer their effect (i.e., education, social integration) among the Woodlawn cohort (N = 1242), a community cohort of urban Black Americans followed since 1966. Taking a life course perspective, we analyze mortality data for deaths through age 58 years old, as well as data collected at ages 6, 16, 32, and 42. At age 58, 204 (16.4%) of the original cohort have died, with ages of death ranging from 9 to 58.98 (mean = 42.9). Cox proportional hazard models adjusting for confounders show statistically significant differences in mortality risk based on timing and persistence of poverty; those who were never poor or poor only in early life had lower mortality risk at ages 43-58 than those who were persistently poor from childhood to adulthood. Education beyond high school and high social integration were shown to reduce the risk of mortality more for those who did not experience poverty early in their life course. Findings have implications for the timing and content of mortality prevention efforts that span the full life course.

PMID:35841492 | DOI:10.1007/s11121-022-01408-x

Cogn Res Princ Implic. 2022 Jul 16;7(1):60. doi: 10.1186/s41235-022-00413-6.

ABSTRACT

Forensic science practitioners compare visual evidence samples (e.g. fingerprints) and decide if they originate from the same person or different people (i.e. fingerprint ‘matching’). These tasks are perceptually and cognitively complex-even practising professionals can make errors-and what limited research exists suggests that existing professional training is ineffective. This paper presents three experiments that demonstrate the benefit of perceptual training derived from mathematical theories that suggest statistically rare features have diagnostic utility in visual comparison tasks. Across three studies (N = 551), we demonstrate that a brief module training participants to focus on statistically rare fingerprint features improves fingerprint-matching performance in both novices and experienced fingerprint examiners. These results have applied importance for improving the professional performance of practising fingerprint examiners, and even other domains where this technique may also be helpful (e.g. radiology or banknote security).

PMID:35841470 | DOI:10.1186/s41235-022-00413-6

Hum Brain Mapp. 2022 Jul 16. doi: 10.1002/hbm.26009. Online ahead of print.

ABSTRACT

Extracting population-wise information from medical images, specifically in the neurological domain, is crucial to better understanding disease processes and progression. This is frequently done in a whole-brain voxel-wise manner, in which a population of patients and healthy controls are registered to a common co-ordinate space and a statistical test is performed on the distribution of image intensities for each location. Although this method has yielded a number of scientific insights, it is further from clinical applicability as the differences are often small and altogether do not permit for a high-performing classifier. In this article, we take the opposite approach of using a high-performing classifier, specifically a traditional convolutional neural network, and then extracting insights from it which can be applied in a population-wise manner, a method we call voxel-based diktiometry. We have applied this method to diffusion tensor imaging (DTI) analysis for Parkinson’s disease (PD), using the Parkinson’s Progression Markers Initiative database. By using the network sensitivity information, we can decompose what elements of the DTI contribute the most to the network’s performance, drawing conclusions about diffusion biomarkers for PD that are based on metrics which are not readily expressed in the voxel-wise approach.

PMID:35841274 | DOI:10.1002/hbm.26009

Am J Transplant. 2022 Jul 16. doi: 10.1111/ajt.17151. Online ahead of print.

ABSTRACT

Immunogenicity following an additional dose of Coronavirus disease 2019 (COVID-19) vaccine was investigated in an extended primary series among kidney transplant (KT) recipients. Eighty-five KT participants were randomized to receive either an mRNA (M group; n=43) or viral vector (V group; n=42) vaccine. Among them, 62% were male, with a median (IQR) age of 50(43-59) years and post-transplantation duration of 46(26-82) months. At 2 weeks post-additional dose, there was no difference in the seroconversion rate between the M and V groups (70%vs.65%, p=0.63). A median (IQR) of anti-RBD antibody level was not statistically different between the M group compared with the V group (51.8[5.1-591] vs. 28.5[2.9-119.3] BAU/ml, p=0.18). Furthermore, the percentage of participants with positive SARS-CoV-2 surrogate virus neutralization test results was not statistically different between groups (20%vs.15%, p=0.40). S1-specific T-cell and RBD-specific B-cell responses were also comparable between the M and V groups (230[41-420] vs. 268[118-510], p=0.65 and 2[0-10] vs. 2[0-13] spot-forming units/10⁶ peripheral blood mononuclear cells, p=0.60). In conclusion, compared with an additional dose of viral vector COVID-19 vaccine, a dose of mRNA COVID-19 vaccine did not elicit significantly different responses in KT recipients, regarding either humoral or cell-mediated immunity.

PMID:35841235 | DOI:10.1111/ajt.17151

Biometrics. 2022 Jul 16. doi: 10.1111/biom.13721. Online ahead of print.

ABSTRACT

We consider analyses of case-control studies assembled from electronic health records (EHRs) where the pool of cases is contaminated by patients who are ineligible for the study. These ineligible patients, referred to as “false cases”, should be excluded from the analyses if known. However, the true outcome status of a patient in the case pool is unknown except in a subset whose size may be arbitrarily small compared to the entire pool. To effectively remove the influence of the false cases on estimating odds ratio parameters defined by a working association model of the logistic form, we propose a general strategy to adaptively impute the unknown case status without requiring a correct phenotyping model to help discern the true and false case statuses. Our method estimates the target parameters as the solution to a set of unbiased estimating equations constructed using all available data. It outperforms existing methods by achieving robustness to mismodeling the relationship between the outcome status and covariates of interest, as well as improved estimation efficiency. We further show that our estimator is root-n-consistent and asymptotically normal. Through extensive simulation studies and analysis of real EHR data, we demonstrate that our method has desirable robustness to possible misspecification of both the association and phenotyping models, along with statistical efficiency superior to the competitors. This article is protected by copyright. All rights reserved.

PMID:35841231 | DOI:10.1111/biom.13721