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Clinical study on the application of dexamethasone and cyclosporine/dimethyl sulfoxide combination eye drops in the initial therapy of chronic superficial keratitis in dogs

Pol J Vet Sci. 2021 Sep;24(3):415-423. doi: 10.24425/pjvs.2021.138733.

ABSTRACT

PURPOSE: To assess the initial therapy of chronic superficial keratitis (CSK) in dogs with the use of dexamethasone and cyclosporine/ dimethyl sulfoxide combination eye drops.

METHODS: The study was conducted on 41 dogs – 16 males and 25 females, aged 2 to 9 years, diagnosed with CSK. The disease was treated with two kinds of eye drops containing 0.1% dexamethasone and 0.75% cyclosporine in combination with 30% DMSO, administered three times a day. Prior to the treatment and after 5 weeks of therapy, depigmentation of the third eyelid margin, corneal neovascularization and pigmentation were assessed. The percentage of the corneal surface afflicted with inflammatory processes was calculated with the use of IsoCalc.com’s Get Area software for CorelDRAW12.

RESULTS: The administered therapy resulted in a significant decrease in the mean number of quadrants affected by corneal neovascularization in the right eye from 2.63 prior to treatment to 0.24 after treatment (p⟨0.001), and the left eye from 2.66 to 0.59 (p⟨0.001), respectively. Mean corneal surface afflicted with inflammatory processes was statistically significantly reduced from 53.5% to 26.3% (p⟨0.001) in the case of right corneas, and from 54.5% to 30.2% (p⟨0.001) in the case of left corneas. Of 77 corneas diagnosed with pigmentation, pigmentation reduction was observed in 54 and pigmentation increase in 27.

CONCLUSIONS: Using dexamethasone and cyclosporine/DMSO combination eye drops proved to be a viable initial therapy against CSK, which facilitates reduction of inflammatory processes and neovascularization atrophy, but in many cases does not inhibit the progress of pigmentation.

PMID:34730300 | DOI:10.24425/pjvs.2021.138733

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Recreational Physical Activity and Risk of Incident Knee Osteoarthritis: an international meta-analysis of individual participant-level data

Arthritis Rheumatol. 2021 Nov 3. doi: 10.1002/art.42001. Online ahead of print.

ABSTRACT

OBJECTIVE: The effect of physical activity (PA) on the risk of developing knee osteoarthritis (OA) is unclear. Our aim was to examine the relationship between recreational PA and incident knee OA outcomes using comparable PA and OA definitions.

METHODS: Data were acquired from six global, community-based cohorts of participants with/without knee OA. Eligible participants had no evidence of knee OA and rheumatoid arthritis (RA) at baseline. Participants were followed for 5-12 years for incident outcomes including: i) radiographic knee OA (ROA) (Kellgren Lawrence (KL) ≥2), ii) painful radiographic knee OA (PROA) (ROA with knee pain) and iii) OA-related knee pain. Self-reported recreational PA included sport and walking/cycling activities was quantified at baseline as metabolic equivalents of tasks (METS) in days per week (days/wk). Risk ratios (RR) were calculated and pooled using Individual Participant Data (IPD) meta-analysis. Secondary analysis assessed the association between PA, defined as time (hrs/wk) spent in recreational PA and incident knee OA outcomes.

RESULTS: Based on a total of N=5065 participants, pooled risk ratio estimates for MET days/wk and PROA (1.02, 95% CI 0.93, 1.12), ROA (1.00, 95% CI 0.94, 1.07) and OA-related knee pain (1.00, 95% CI 0.96, 1.04) were non-significant, respectively. Similarly, analysis of hours per week spent in PA also showed no significant associations for all outcomes.

CONCLUSIONS: Our findings suggest that whole-body, physiological energy expenditure during recreational activities and time spent in physical activity were not associated with incident knee OA outcomes.

PMID:34730279 | DOI:10.1002/art.42001

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Modeling population size independent tissue epigenomes by ChIL-seq with single thin sections

Mol Syst Biol. 2021 Nov;17(11):e10323. doi: 10.15252/msb.202110323.

ABSTRACT

Recent advances in genome-wide technologies have enabled analyses using small cell numbers of even single cells. However, obtaining tissue epigenomes with cell-type resolution from large organs and tissues still remains challenging, especially when the available material is limited. Here, we present a ChIL-based approach for analyzing the diverse cellular dynamics at the tissue level using high-depth epigenomic data. “ChIL for tissues” allows the analysis of a single tissue section and can reproducibly generate epigenomic profiles from several tissue types, based on the distribution of target epigenomic states, tissue morphology, and number of cells. The proposed method enabled the independent evaluation of changes in cell populations and gene activation in cells from regenerating skeletal muscle tissues, using a statistical model of RNA polymerase II distribution on gene loci. Thus, the integrative analyses performed using ChIL can elucidate in vivo cell-type dynamics of tissues.

PMID:34730297 | DOI:10.15252/msb.202110323

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A systematic review and meta-analysis of the efficacy of processing stages and interventions for controlling Campylobacter contamination during broiler chicken processing

Compr Rev Food Sci Food Saf. 2021 Nov 3. doi: 10.1111/1541-4337.12860. Online ahead of print.

ABSTRACT

Systematic review and meta-analysis were conducted to quantify the effects of processing stages and interventions on the prevalence and concentration of Campylobacter on broiler carcasses. To comprehensively capture relevant evidence, six databases were searched using the keywords “Campylobacter” and “broiler chicken.” The literature search yielded 10,450 unique citations, and after applying predetermined inclusion and exclusion criteria, 72 and 53 relevant citations were included in meta-analyses for processing stages and interventions, respectively. As the two primary outcomes, log reduction and prevalence changes were estimated for each stage or intervention using a random-effects meta-analysis approach whenever possible. The outcome-level quality assessment was conducted following the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach. The analysis revealed that scalding and chilling majorly reduces the prevalence and concentration of Campylobacter. Immersion chilling reduces the concentration regardless of chemical additives, but its effect on prevalence is not conclusive. The effects of carcass washing applications remain uncertain due to the inconsistency and imprecision of both outcomes. Defeathering and evisceration were identified as stages that can increase both prevalence and concentration. Both chemical and physical processing interventions provide limited efficacy in concentration and prevalence reduction. Major limitations of the review were inconsistency and imprecision at the outcome level and reporting issues and data gaps at the study level. The results are expected to inform quantitative microbial risk assessment model development and support evidence-based decision-making.

PMID:34730272 | DOI:10.1111/1541-4337.12860

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A Bayesian phase I/II platform design for co-developing drug combination therapies for multiple indications

Stat Med. 2021 Nov 3. doi: 10.1002/sim.9242. Online ahead of print.

ABSTRACT

There is a growing trend to combine a new targeted or immunotherapy agent with the cancer-specific standard of care to treat different types of cancers. We propose a master-protocol-based, Bayesian phase I/II platform design to co-develop combination (BPCC) therapies in multiple indications. Under the BPCC design, only a single master protocol is needed, and the combined drug is evaluated in different indications in a concurrent or staggered fashion. For each indication, we jointly model dose-toxicity and -efficacy relationships and employ Bayesian hierarchical models to borrow information across them for more efficient indication-specific decision-making. To account for the characteristic of targeted or immunotherapy agents that their efficacy may not monotonically increase with the dose, and often plateau at high doses, we use the utility to quantify the risk-benefit tradeoff of the treatment. At each interim, we update the toxicity and efficacy model, as well as the estimate of the utility, based on the observed data across indications to inform the indication-specific decision of dose escalation and de-escalation and identify the optimal biological dose for each indication. Simulation study shows that the BPCC design has desirable operating characteristics, and that it provides an efficient approach to accelerate the development of combination therapies.

PMID:34730248 | DOI:10.1002/sim.9242

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Incorporation of Natriuretic Peptides with Clinical Risk-scores to Predict Heart Failure Among Individuals with Dysglycemia

Eur J Heart Fail. 2021 Nov 3. doi: 10.1002/ejhf.2375. Online ahead of print.

ABSTRACT

AIMS: To evaluate the performance of the WATCH-DM risk score, a clinical risk score for heart failure (HF), in patients with dysglycemia and in combination with natriuretic peptides (NP).

METHODS AND RESULTS: Adults with diabetes/pre-diabetes free of HF at baseline from 4 cohort studies (ARIC, CHS, FHS, and MESA) were included. The machine learning- [WATCH-DM(ml)] and integer-based [WATCH-DM(i)] scores were used to estimate the 5-year risk of incident HF. Discrimination was assessed by Harrell’s concordance index (C-index) and calibration by the Greenwood-Nam-D’Agostino (GND) statistic. Improvement in model performance with the addition of NP-levels was assessed by C-index and continuous net reclassification improvement (NRI). Of the 8938 participants included, 3554 (39.8%) had diabetes and 432 (4.8%) developed HF within 5-years. The WATCH-DM(ml) and WATCH-DM (i) scores demonstrated high discrimination for predicting HF risk among individuals with dysglycemia (C-indices = 0.80 and 0.71) respectively, with no evidence of miscalibration (GND P-value ≥0.10). The C-index of elevated NP-levels alone for predicting incident HF among individuals with dysglycemia was significantly higher among participants with low/intermediate (<13) vs. high (≥13) WATCH-DM(i) scores [0.71(95%CI = 0.68-0.74) vs. 0.64(95%CI = 0.61-0.66)]. When NP-levels were combined with the WATCH-DM(i) score, HF risk discrimination improvement and NRI varied across the spectrum of risk with greater improvement observed at low/intermediate risk (WATCH-DM(i) < 13) vs. high risk (WATCH-DM(i) ≥13) (C-index = 0.73 vs. 0.71; NRI = 0.45 vs. 0.17, respectively).

CONCLUSION: The WATCH-DM risk score can accurately predict incident HF risk in community-based individuals with dysglycemia. The addition of NP-levels is associated with greater improvement in the HF risk prediction performance among individuals with low/intermediate risk than those with high risk. This article is protected by copyright. All rights reserved.

PMID:34730265 | DOI:10.1002/ejhf.2375

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Coronavirus disease 2019 pandemic and pregnancy and neonatal outcomes in general population: A living systematic review and meta-analysis (updated Aug 14, 2021)

Acta Obstet Gynecol Scand. 2021 Nov 3. doi: 10.1111/aogs.14277. Online ahead of print.

ABSTRACT

INTRODUCTION: Conflicting reports of increases and decreases in rates of preterm birth (PTB) and stillbirth in the general population during the coronavirus disease 2019 (COVID-19) pandemic have surfaced. The objective of our study was to conduct a living systematic review and meta-analyses of studies reporting pregnancy and neonatal outcomes by comparing the pandemic and pre-pandemic periods.

MATERIAL AND METHODS: We searched PubMed and Embase databases, reference lists of articles published up until August 14, 2021 and included English language studies that compared outcomes between the COVID-19 pandemic time period and the pre-pandemic time periods. Risk of bias was assessed using the Newcastle-Ottawa scale. We conducted random-effects meta-analysis using the inverse variance method.

RESULTS: Forty-five studies with low-to-moderate risk of bias, reporting on 1 843 665 pregnancies during the pandemic period and 23 564 552 pregnancies during the pre-pandemic period, were included. There was significant reduction in unadjusted estimates of PTB (35 studies, unadjusted odds ratio [uaOR] 0.95, 95% CI 0.92-0.98), but not in adjusted estimates (six studies, adjusted OR [aOR] 0.95, 95% CI 0.80-1.13). This reduction was noted in studies from single centers/health areas (25 studies, uaOR 0.90, 95% CI 0.86-0.96) but not in regional/national studies (10 studies, uaOR 0.99, 95% CI 0.95-1.02). There was reduction in spontaneous PTB (six studies, uaOR 0.89, 95% CI 0.81-0.96) and induced PTB (five studies, uaOR 0.89, 95% CI 0.81-0.97). There was no difference in the odds of stillbirth between the pandemic and pre-pandemic time periods (24 studies, uaOR 1.11, 95% CI 0.97-1.26 and four studies, aOR 1.06, 95% CI 0.81-1.38). There was an increase in mean birthweight during the pandemic period compared with the pre-pandemic period (six studies, mean difference 17 g, 95% CI 7-28 g). The odds of maternal mortality were increased (four studies, uaOR 1.15, 95% CI 1.05-1.26); however, only unadjusted estimates were available and the result was mostly influenced by one study from Mexico. There was significant publication bias for the outcome of PTB.

CONCLUSIONS: The COVID-19 pandemic may be associated with a reduction in PTB; however, referral bias cannot be excluded. There was no statistically significant difference in stillbirth between pandemic and pre-pandemic periods.

PMID:34730232 | DOI:10.1111/aogs.14277

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Regional brain atrophy and aberrant cortical folding relate to anxiety and depression in patients with traumatic brain injury and psychogenic nonepileptic seizures

Epilepsia. 2021 Nov 3. doi: 10.1111/epi.17109. Online ahead of print.

ABSTRACT

OBJECTIVE: Psychogenic nonepileptic seizures (PNES) are characterized by multifocal and global abnormalities in brain function and connectivity. Only a few studies have examined neuroanatomic correlates of PNES. Traumatic brain injury (TBI) is reported in 83% of patients with PNES and may be a key component of PNES pathophysiology. In this study, we included patients with TBI preceding the onset of PNES (TBI-PNES) and TBI without PNES (TBI-only) to identify neuromorphometric abnormalities associated with PNES.

METHODS: Adults diagnosed with TBI-PNES (n = 62) or TBI-only (n = 59) completed psychological questionnaires and underwent 3-T magnetic resonance imaging. Imaging data were analyzed by voxel- and surface-based morphometry. Voxelwise general linear models computed group differences in gray matter volume, cortical thickness, sulcal depth, fractal dimension (FDf), and gyrification. Statistical models were assessed with permutation-based testing at 5000 iterations with the Threshold-Free Cluster Enhancement toolbox. Logarithmically scaled p-values corrected for multiple comparisons using familywise error were considered significant at p < .05. Post hoc analyses determined the association between structural and psychological measures (p < .05).

RESULTS: TBI-PNES participants demonstrated atrophy of the left inferior frontal gyrus and the right cerebellum VIII. Relative to TBI-only, TBI-PNES participants had decreased FDf in the right superior parietal gyrus and decreased sulcal depth in the left insular cortex. Significant clusters were positively correlated with global assessment of functioning scores, and demonstrated varying negative associations with measures of anxiety, depression, somatization, and global severity of symptoms.

SIGNIFICANCE: The diagnosis of PNES was associated with brain atrophy and reduced cortical folding in regions implicated in emotion processing, regulation, and response inhibition. Cortical folds primarily develop during the third trimester of pregnancy and remain relatively constant throughout the remainder of one’s life. Thus, the observed aberrations in FDf and sulcal depth could originate early in development. The convergence of environmental, developmental, and neurobiological factors may coalesce to reflect the neuropathophysiological substrate of PNES.

PMID:34730239 | DOI:10.1111/epi.17109

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Deep learning based ultrasonic dynamic video detection and segmentation of thyroid gland and its surrounding cervical soft tissues

Med Phys. 2021 Nov 3. doi: 10.1002/mp.15332. Online ahead of print.

ABSTRACT

BACKGROUND: The prevalence of thyroid diseases has been increasing year by year. In this study, we established and validated a deep learning method (Cascade region-based convolutional neural network, R-CNN) based on ultrasound videos for automatic detection and segmentation of the thyroid gland and its surrounding tissues in order to reduce the workload of radiologists and improve the detection and diagnosis rate of thyroid disease.

METHODS: 71 patients with normal thyroid ultrasound were included. The ultrasound videos of 59 patients were used as the training dataset, the data of 12 patients were used as the validation dataset, and in addition, the data of 9 patents were used as the testing dataset. Ultrasound videos of thyroid examination, including five standard sections (left and right lobe transverse scan, central isthmus transverse scan, left and right lobe longitudinal scan), were collected from all patients. The radiologists labeled the neck tissues, including anterior cervical muscle, cricoid cartilage, trachea, thyroid gland, endothyroid vessels, carotid artery, internal jugular vein, and esophagus. A large dataset was constructed to train and test the deep learning method. The performance was evaluated using the COCO metrics AP, AP50, and AP75. We compared the Cascade R-CNN with a state-of-the-art method CenterMask in the test dataset.

RESULTS: We annotated 166817, 34364 and 29227 regions in training, validation and testing samples. The model could achieve a good detection performance for the thyroid left lobe, right lobe, isthmus, muscles, trachea, carotid artery, and jugular vein; the AP50 of these tissues were 86.5%, 87.5%, 89.1%, 96.1%, 96.6%, 97.7%, and 91.8%, respectively. In addition, the model showed good segmentation performance for the muscles, trachea, and carotid artery; the AP50 of these tissues were 96%, 96.6%, and 97.8%, respectively. For the left lobe, right lobe, isthmus, esophagus, and jugular vein, AP50 was ≥86%. However, the segmentation results for the cricoid cartilage and endothyroid vessels were not high (AP50 of 53.9% and 48.5%, respectively). For fair comparison, the performance of Cascade R-CNN is better than that of CenterMask for detection and segmentation tasks. The difference was statistically significant (P < 0.05).

CONCLUSIONS: The new method could successfully detect and segment the thyroid gland and its surrounding tissues. This article is protected by copyright. All rights reserved.

PMID:34730231 | DOI:10.1002/mp.15332

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Role of the pupillometer in the assessment of pain in the sedation of pediatric patients

Eur Rev Med Pharmacol Sci. 2021 Oct;25(20):6349-6355. doi: 10.26355/eurrev_202110_27008.

ABSTRACT

OBJECTIVE: Pupillometry has been used to assess pain intensity and response to analgesic drugs in adults. The aim of this study was to verify the usefulness and effectiveness of the pupillometer to assess pain and depth of sedation in pediatric patients undergoing painful procedures and to optimize pain management by observing pupillary variations induced by opioids.

PATIENTS AND METHODS: This is a prospective, monocentric study conducted in the sedation room of the Pediatric Intensive Care Unit of Fondazione Policlinico A. Gemelli in Rome. A population of 22 pediatric patients who underwent painful procedures was enrolled. Eleven children were sedated by opioid drugs. Heart rate, systolic blood pressure, diastolic blood pressure, bispectral index, maximum pupil size (Size), pupil change (CH), Neurological Pupil Index (NPi) were collected over four times: before starting the procedure; before the painful stimulus (when the patient was sedated); when the painful stimulus was applied; at the end of the procedure. A NeurOptics NPi-200 pupillometer was used for the study.

RESULTS: Statistical significance in the variation of haemodynamic parameters was less significant than the variation obtained by analyzing the pupillary parameters: a significant change in NPi and CH in the transition from wakefulness to sedation and from the application of the painful stimulus to awakening was found in both study populations, patients who have received opioids and patients who have not received opioids. Changes in the mean CH of the pupil diameter correlate with the depth of sedation, and the size values vary in relation to the administration of opioids.

CONCLUSIONS: Our findings highlight the potential role of pupillometry as a non-invasive method to objectively quantitate pain response in children to reach an efficient analgesic approach.

PMID:34730216 | DOI:10.26355/eurrev_202110_27008