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Nevin Manimala Statistics

Color stability of pressed lithium disilicate ceramics under repeated firings evaluated by different methods

Int J Prosthodont. 2024 Mar 13;0(0):1-27. doi: 10.11607/ijp.8953. Online ahead of print.

ABSTRACT

PURPOSE: The aim of this study was to determine and compare color differences of pressed lithium disilicate ceramic specimens after repeated firing cycles. An additional objective was to determine and evaluate correlation of CIEDE2000 values analyzed by X-Rite Color i5 Spectrophotometer, VITA EasyShade Advance 4.0 and Adobe Photoshop.

MATERIAL AND METHODS: Tile specimens (N=36) with 8 x 10 x 1.5mm dimensions were prepared by IPS e.max Press lithium disilicate MT Monochromatic ingots and IPS e.max Multi Press lithium disilicate Multichromatic ingots. Specimens were exposed to 7 repeated firing cycles. Color analysis was performed after the 1st, 2nd, 3rd, 5th, and 7th firing cycles. CIE L*a*b* values were measured by X-Rite Color i5 Spectrophotometer, VITA EasyShade Advance 4.0 and Adobe Photoshop. CIE DE*2000 (ΔE*00) was calculated to estimate color differences.

RESULTS: Linear regression and multiple comparison analysis (Tukey’s HSD test) showed a statistically significant (p<.001) color difference ΔE*00 after multiple firing cycles. Statistically significant differences (p<.05) were also noted in different shade groups and between different instruments used for shade evaluation. Moreover, significant differences (p<.05) were found in interactive effects between different shades tested by different instrument, different shades tested after multiple firing cycles and different instruments after multiple firing cycles.

CONCLUSIONS: Lithium disilicate material shows significant color differences after repeated firing cycles tested by three color analysis instruments. Measuring instruments used to evaluate CIE L*a*b* color values showed significant differences in color values analysis, which may lead to altered level of interpretation, particularly to determine perceptibility and clinical acceptability thresholds.

PMID:38477844 | DOI:10.11607/ijp.8953

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Nevin Manimala Statistics

The impact of career calling on nurse burnout: A moderated mediation model

Int Nurs Rev. 2024 Mar 13. doi: 10.1111/inr.12957. Online ahead of print.

ABSTRACT

AIM: To evaluate the mediating roles of occupational resilience and the moderationg role of perceived organizational support in the relationship between career calling and nurse burnout.

BACKGROUND: Burnout is a frequent and serious problem in the field of nursing, and it poses a serious threat to both nurses’ health and patient safety. Although many studies have described the links between burnout, career calling, and occupational resilience, little is known about the actual mechanisms between career calling and nurse burnout.

METHODS: A cross-sectional study of 615 nurses in China was conducted using a convenience sampling method. The data were analyzed using descriptive statistics and Pearson correlation analysis. Hypotheses were tested using structural equation models and bootstrapping methods. STROBE guidelines were followed.

RESULTS: Career calling was found to be negatively associated with nurse burnout, and occupational resilience mediated the relationship between career calling and burnout. Additionally, perceived organizational support was found to play a moderating role in the relationship between occupational resilience and burnout.

CONCLUSION: Career calling can reduce burnout by increasing nurses’ levels of occupational resilience, and perceived organizational support moderates this mechanism. Hence, policies focused on encouraging and sustaining career calling should be provided by nurse managers in order to enhance stress resistance and reduce burnout.

PMID:38477788 | DOI:10.1111/inr.12957

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Nevin Manimala Statistics

Attainment of LDL-Cholesterol Goals in Patients with Previous Myocardial Infarction: A Real-World Cross-Sectional Analysis

Arq Bras Cardiol. 2024 Mar 8;121(1):e20230242. doi: 10.36660/abc.20230242. eCollection 2024.

ABSTRACT

BACKGROUND: The European Society of Cardiology guidelines recommend an LDL-cholesterol (LDL-C) < 55 mg/dL for patients with established cardiovascular disease. While the Friedewald equation to estimate LDL-C is still widely used, the newer Martin-Hopkins equation has shown greater accuracy.

OBJECTIVES: We aimed to assess: A) the proportion of patients reaching LDL-C goal and the therapies used in a tertiary center; B) the impact of using the Martin-Hopkins method instead of Friedewald’s on the proportion of controlled patients.

METHODS: A single-center cross-sectional study including consecutive post-myocardial infarction patients followed by 20 cardiologists in a tertiary hospital. Data was collected retrospectively from clinical appointments that took place after April 2022. For each patient, the LDL-C levels and attainment of goals were estimated from an ambulatory lipid profile using both Friedewald and Martin-Hopkins equations. A two-tailed p-value of < 0.05 was considered statistically significant for all tests.

RESULTS: Overall, 400 patients were included (aged 67 ± 13 years, 77% male). Using Friedewald’s equation, the median LDL-C under therapy was 64 (50-81) mg/dL, and 31% had LDL-C within goals. High-intensity statins were used in 64% of patients, 37% were on ezetimibe, and 0.5% were under PCSK9 inhibitors. Combination therapy of high-intensity statin + ezetimibe was used in 102 patients (26%). Applying the Martin-Hopkins method would reclassify a total of 31 patients (7.8%). Among those deemed controlled by Friedewald’s equation, 27 (21.6%) would have a Martin-Hopkins’ LDL-C above goals.

CONCLUSIONS: Less than one-third of post-myocardial infarction patients had LDL-C within the goal. Applying the Martin-Hopkins equation would reclassify one-fifth of presumably controlled patients into the non-controlled group.

PMID:38477763 | DOI:10.36660/abc.20230242

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Nevin Manimala Statistics

How should hyperbilirubinemia be considered in the definition of the hearing screening protocol for neonates at risk?

Codas. 2024 Mar 11;36(2):e20220273. doi: 10.1590/2317-1782/20232022273pt. eCollection 2024.

ABSTRACT

PURPOSE: To analyze hyperbilirubinemia as an indicator for the definition of risk protocol in newborn hearing screening (NHS) and in auditory monitoring in full-term and preterm neonates.

METHODS: This is an observational, cross-sectional and retrospective study. A total of 554 children born in a public maternity hospital were included and divided into two groups: (G1) with 373 full-terms neonates; (G2) with 181 preterm neonates. Data were collected from the participant’s medical records to obtain information regarding the result of the NHS, performed by recording the automated auditory brainstem response (AABR), birth conditions, clinical characteristics, interventions performed, and results of the first test of total bilirubin (TB) and indirect bilirubin (IB) as well as the peak of TB and IB. A descriptive statistical analysis of the results was performed, and the level of significance adopted was 5%.

RESULTS: On the NHS test, quotes of retest referral rates were smaller in G1 when compared to G2. There was no significant difference between the groups regarding type of delivery, gender, presence of Rh and ABO incompatibility, G6PD enzyme deficiency, and performance of phototherapy. TB and IB levels at the first exam and at peak time did not differ between neonates with “pass” and “fail” results on the NHS test in both groups.

CONCLUSION: Bilirubin levels in the neonatal period below the recommended values for indication of exchange transfusion are not directly related to the “fail” result on the NHS tests in term and preterm neonates.

PMID:38477758 | DOI:10.1590/2317-1782/20232022273pt

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Nevin Manimala Statistics

Fracture risk based on HR-pQCT measures does not vary with age in older adults – the bone microarchitecture international consortium (BoMIC) prospective cohort study

J Bone Miner Res. 2024 Mar 3:zjae033. doi: 10.1093/jbmr/zjae033. Online ahead of print.

ABSTRACT

Fracture risk increases with lower areal BMD (aBMD); however, aBMD-related estimate of risk may decrease with age. This may depend on technical limitations of 2-dimensional (2D) DXA which are reduced with 3D high-resolution peripheral quantitative computed tomography (HR-pQCT). Our aim was to examine whether the predictive utility of HR-pQCT measures with fracture varies with age. We analyzed associations of HR-pQCT measures at the distal radius and distal tibia with two outcomes: incident fractures and major osteoporotic fractures. We censored follow-up time at first fracture, death, last contact or 8 years after baseline. We estimated hazard ratios (HR) and 95%CI for the association between bone traits and fracture incidence across age quintiles. Among 6835 men and women (ages 40-96) with at least one valid baseline HR-pQCT scan who were followed prospectively for a median of 48.3 months, 681 sustained fractures. After adjustment for confounders, bone parameters at both the radius and tibia were associated with higher fracture risk. The estimated HRs for fracture did not vary significantly across age quintiles for any HR-pQCT parameter measured at either the radius or tibia. In this large cohort, the homogeneity of the associations between the HR-pQCT measures and fracture risk across age groups persisted for all fractures and for major osteoporotic fractures. The patterns were similar regardless of the HR-pQCT measure, the type of fracture, or the statistical models. The stability of the associations between HR-pQCT measures and fracture over a broad age range shows that bone deficits or low volumetric density remain major determinants of fracture risk regardless of age group. The lower risk for fractures across measures of aBMD in older adults in other studies may be related to factors which interfere with DXA but not with HR-pQCT measures.

PMID:38477737 | DOI:10.1093/jbmr/zjae033

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Nevin Manimala Statistics

Large-scale circulating proteome association study (CPAS) meta-analysis identifies circulating proteins and pathways predicting incident hip fractures

J Bone Miner Res. 2024 Jan 4:zjad011. doi: 10.1093/jbmr/zjad011. Online ahead of print.

ABSTRACT

Hip fractures are associated with significant disability, high cost, and mortality. However, the exact biological mechanisms underlying susceptibility to hip fractures remain incompletely understood. In an exploratory search of the underlying biology as reflected through the circulating proteome, we performed a comprehensive Circulating Proteome Association Study (CPAS) meta-analysis for incident hip fractures. Analyses included 6430 subjects from two prospective cohort studies (Cardiovascular Health Study and Trøndelag Health Study) with circulating proteomics data (aptamer-based 5 K SomaScan version 4.0 assay; 4979 aptamers). Associations between circulating protein levels and incident hip fractures were estimated for each cohort using age and sex-adjusted Cox regression models. Participants experienced 643 incident hip fractures. Compared with the individual studies, inverse-variance weighted meta-analyses yielded more statistically significant associations, identifying 23 aptamers associated with incident hip fractures (conservative Bonferroni correction 0.05/4979, P < 1.0 × 10-5). The aptamers most strongly associated with hip fracture risk corresponded to two proteins of the growth hormone/insulin growth factor system (GHR and IGFBP2), as well as GDF15 and EGFR. High levels of several inflammation-related proteins (CD14, CXCL12, MMP12, ITIH3) were also associated with increased hip fracture risk. Ingenuity pathway analysis identified reduced LXR/RXR activation and increased acute phase response signaling to be overrepresented among those proteins associated with increased hip fracture risk. These analyses identified several circulating proteins and pathways consistently associated with incident hip fractures. These findings underscore the usefulness of the meta-analytic approach for comprehensive CPAS in a similar manner as has previously been observed for large-scale human genetic studies. Future studies should investigate the underlying biology of these potential novel drug targets.

PMID:38477735 | DOI:10.1093/jbmr/zjad011

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Nevin Manimala Statistics

Shapeshifting Nucleophile Singly Hydrated Hydroperoxide Anion Leads to the Occurrence of the Thermodynamically Unfavored SN2 Product

J Phys Chem A. 2024 Mar 13. doi: 10.1021/acs.jpca.4c01159. Online ahead of print.

ABSTRACT

Single water molecules alone may introduce unusual features into the kinetics and dynamics of chemical reactions. The singly hydrated hydroperoxide anion, HOO(H2O), was found to be a shapeshifting nucleophile, which can be transformed to HO solvated by hydrogen peroxide HO(HOOH). Herein, we performed direct dynamics simulations of its reaction with methyl iodide to investigate the effect of individual water molecules. In addition to the normal SN2 product CH3OOH, the thermodynamically unfavored proton transfer-induced HO-SN2 path (produces CH3OH) was also observed, contributing ∼4%. The simulated branching ratio of the HO-SN2 path exceeded the statistical estimation (0.6%) based on the free energy barrier difference. The occurrence of the HO-SN2 path was attributed to the shallow entrance channel well before a submerged saddle point, thus providing a region for extensive proton exchange and ultimately leading to the formation of CH3OH. In comparison, changing the leaving group from Cl to I increased the overall reaction rate as well as the proportion of the HO-SN2 path because the CH3I system has a smaller internal barrier. This work elucidates the importance of the dynamic effect introduced by a single solvent molecule to alter the product channel and kinetics of typical ion-molecule SN2 reactions.

PMID:38477711 | DOI:10.1021/acs.jpca.4c01159

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Noradrenaline release from the locus coeruleus shapes stress-induced hippocampal gene expression

Elife. 2024 Mar 13;12:RP88559. doi: 10.7554/eLife.88559.

ABSTRACT

Exposure to an acute stressor triggers a complex cascade of neurochemical events in the brain. However, deciphering their individual impact on stress-induced molecular changes remains a major challenge. Here, we combine RNA sequencing with selective pharmacological, chemogenetic, and optogenetic manipulations to isolate the contribution of the locus coeruleus-noradrenaline (LC-NA) system to the acute stress response in mice. We reveal that NA release during stress exposure regulates a large and reproducible set of genes in the dorsal and ventral hippocampus via β-adrenergic receptors. For a smaller subset of these genes, we show that NA release triggered by LC stimulation is sufficient to mimic the stress-induced transcriptional response. We observe these effects in both sexes, and independent of the pattern and frequency of LC activation. Using a retrograde optogenetic approach, we demonstrate that hippocampus-projecting LC neurons directly regulate hippocampal gene expression. Overall, a highly selective set of astrocyte-enriched genes emerges as key targets of LC-NA activation, most prominently several subunits of protein phosphatase 1 (Ppp1r3c, Ppp1r3d, Ppp1r3g) and type II iodothyronine deiodinase (Dio2). These results highlight the importance of astrocytic energy metabolism and thyroid hormone signaling in LC-mediated hippocampal function and offer new molecular targets for understanding how NA impacts brain function in health and disease.

PMID:38477670 | DOI:10.7554/eLife.88559

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Nevin Manimala Statistics

Effects of high tibial osteotomy compared with unicondylar knee arthroplasty on the surgical site wound infection and pain in patients with medial knee osteoarthritis

Int Wound J. 2024 Mar;21(3):e14773. doi: 10.1111/iwj.14773.

ABSTRACT

This study aims to comprehensively compare the effects of unicondylar knee arthroplasty (UKA) and high tibial osteotomy (HTO) on wound infection and pain in patients with medial knee osteoarthritis. A computerized search was conducted in Embase, PubMed, Google Scholar, China National Knowledge Infrastructure, Cochrane Library and Wanfang databases, from database inception to October 2023, for studies comparing UKA and HTO for medial knee osteoarthritis. Studies selection, data extraction and study quality evaluation were independently conducted by two researchers. Stata 17.0 software was employed for data analysis. Overall, 10 studies involving 870 patients with medial knee osteoarthritis were included. It was found that the UKA group had significantly lower wound visual analogue scale scores compared to the HTO group (SMD = -0.53, 95%CI: -0.87 to -0.20, p < 0.001). The incidence of wound infection in the UKA group was higher than in the HTO group (OR = 1.92, 95%CI: 0.65-5.69, p = 0.240), and the incidence of complications was lower (OR = 0.89, 95%CI: 0.52-1.54, p = 0.684), though these differences were not statistically significant. This study indicates that UKA is effective in alleviating postoperative wound pain in medial knee osteoarthritis. However, the rates of postoperative wound infection and complications are comparable to those of HTO. Clinicians should consider factors such as patient age and disease severity in making individualized treatment decisions.

PMID:38477639 | DOI:10.1111/iwj.14773

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Nevin Manimala Statistics

Quantitative measurement of the ureter on three-dimensional magnetic resonance urography images using deep learning

Med Phys. 2024 Mar 13. doi: 10.1002/mp.17025. Online ahead of print.

ABSTRACT

BACKGROUND: Accurate measurement of ureteral diameters plays a pivotal role in diagnosing and monitoring urinary tract obstruction (UTO). While three-dimensional magnetic resonance urography (3D MRU) represents a significant advancement in imaging, the traditional manual methods for assessing ureteral diameters are characterized by labor-intensive procedures and inherent variability. In the realm of medical image analysis, deep learning has led to a paradigm shift, yet the development of a comprehensive automated tool for the precise segmentation and measurement of ureters in MR images is an unaddressed challenge.

PURPOSE: The ureter was quantitatively measured on 3D MRU images using a deep learning model.

METHODS: A retrospective cohort of 445 3D MRU scans (443 patients, 52 ± 18 years; 217 female patients) was collected and split into training, validation, and internal testing cohorts. A 3D V-Net model was trained for urinary tract segmentation, and a post-processing algorithm was developed for ureteral measurements. The accuracy of the segmentation was evaluated using the Dice similarity coefficient (DSC) and volume intraclass correlation coefficient (ICC), with ground truth segmentations provided by experienced radiologists. The external cohort comprised 50 scans (50 patients, 55 ± 21 years; 30 female patients), and the model-predicted ureteral diameter measurements were compared with manual measurements to assess system performance. The various diameter parameters of ureter among the different measurement methods (ground truth, auto-segmentation with automatic diameter extraction, and manual segmentation with automatic diameter extraction) were assessed with Friedman tests and post hoc Dunn test. The effectiveness of the UTO diagnosis was assessed by receiver operating characteristic (ROC) curves and their respective areas under the curve (AUC) between different methods.

RESULTS: In both the internal test and external cohorts, the mean DSC values for bilateral ureters exceeded 0.70. The ICCs for the bilateral ureter volume obtained by comparing the model and manual segmentation were all greater than 0.96 (p < 0.05), except for the right ureter in the internal test cohort, for which the ICC was 0.773 (p < 0.05). The mean DSCs for interobserver and intraobserver reliability were all above 0.97. The maximum diameter of the ureter exhibited no statistically significant differences either in the dilated (p = 0.08) or in the non-dilated (p = 0.32) ureters across the three measurement methods. The AUCs of ground truth, auto-segmentation with automatic diameter extraction, and manual segmentation with automatic diameter extraction in diagnosing UTO were 0.988 (95% CI: 0.934, 1.000), 0.961 (95% CI: 0.893, 0.991), and 0.979 (95% CI: 0.919, 0.998), respectively. There was no statistical difference between AUCs of the different methods (p > 0.05).

CONCLUSION: The proposed deep learning model and post-processing algorithm provide an effective means for the quantitative evaluation of urinary diseases using 3D MRU images.

PMID:38477634 | DOI:10.1002/mp.17025