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Scientific Reports Jul 2024The study investigated the effects of temperature and centrifugation time on the efficacy of removing uncured resin from 3D-printed clear aligners. Using a...
The study investigated the effects of temperature and centrifugation time on the efficacy of removing uncured resin from 3D-printed clear aligners. Using a photo-polymerizable polyurethane resin (Tera Harz TC-85, Graphy Inc., Seoul, Korea), aligners were printed and subjected to cleaning processes using isopropyl alcohol (IPA) or centrifugation (g-force 27.95g) at room temperature (RT, 23 °C) and high temperature (HT, 55 °C) for 2, 4, and 6 min. The control group received no treatment (NT). Cleaning efficiency was assessed through rheological analysis, weight measurement, transparency evaluation, SEM imaging, 3D geometry evaluation, stress relaxation, and cell viability tests. Results showed increased temperature and longer centrifugation times significantly reduced aligner viscosity, weight (P < 0.05), and transmittance. IPA-cleaned aligners exhibited significantly lower transparency and rougher surfaces in SEM images. All groups met ISO biocompatibility standards in cytotoxicity tests. The NT group had higher root mean square (RMS) values, indicating greater deviation from the original design. Stress relaxation tests revealed over 95% recovery in all groups after 60 min. The findings suggest that a 2-min HT centrifugation process effectively removes uncured resin without significantly impacting the aligners' physical and optical properties, making it a clinically viable option.
Topics: Printing, Three-Dimensional; Centrifugation; Temperature; Resins, Synthetic; Polyurethanes; Cell Survival; Materials Testing; Humans; Animals
PubMed: 38956329
DOI: 10.1038/s41598-024-66150-6 -
Journal of Clinical Periodontology Jul 2024To evaluate the efficacy of the PerioRisk prognostic tool in implementing the effect of motivational interviewing (MI) on psychological outcomes and supragingival plaque...
Efficacy of communicating periodontal risk on psychological outcomes and supragingival plaque control in patients undergoing first periodontal consultation: A parallel-arm, randomized trial.
AIM
To evaluate the efficacy of the PerioRisk prognostic tool in implementing the effect of motivational interviewing (MI) on psychological outcomes and supragingival plaque control.
MATERIALS AND METHODS
Participants underwent MI immediately after their first periodontal visit. According to a parallel-arm, randomized study design, MI was performed with (RISK group) or without (CTR group) information on PerioRisk level and treatment goals based on PerioRisk output. Psychological outcomes were assessed using the Positive Affect Negative Affect Scale (PANAS) and Protection Motivation Theory (PMT). Plaque index (PI) was re-evaluated after 8-12 weeks.
RESULTS
Significant improvements in PMT overall score and PI were observed in CTR and RISK groups, without inter-group difference in PANAS and PMT overall scores and PI. A sub-analysis showed that the overall PMT scores recorded immediately after MI in both CTR and RISK groups for subjects with no tooth loss due to periodontitis were higher than those recorded before MI in subjects with tooth loss due to periodontitis.
CONCLUSIONS
At first periodontal visit, MI (implemented with without PerioRisk) has tangible effects on psychological outcomes and supragingival plaque control and seems to anticipate the awareness that is commonly generated by periodontitis-related tooth loss (ClinicalTrials.gov protocol registration ID: NCT05078411).
PubMed: 38956317
DOI: 10.1111/jcpe.14032 -
Journal of Perinatology : Official... Jul 2024To assess the ideal time for caffeine administration in preterms, identifying its effects and safety. Study Design: Meta-analysis conducted including preterms <32 weeks... (Review)
Review
To assess the ideal time for caffeine administration in preterms, identifying its effects and safety. Study Design: Meta-analysis conducted including preterms <32 weeks GA or BW < 1500 g, comparing caffeine administration time: <24 x ≥24HOL, <48 x ≥48HOL, <72 x ≥72HOL. 18 studies included 76.998 patients. The median age of starting caffeine was the first 24 HOL. In the overall comparisons, there was reduction in patent ductus arteriosus (OR 0.71 [0.55, 0. 92]; low evidence), retinopathy of prematurity (OR 0.71 [0.54, 0.93]; moderate evidence), severe brain injury (OR 0.79 [0.70, 0.91]; moderate evidence), bronchopulmonary dysplasia (BPD) (OR 0.69 [0.59, 0.81]; moderate evidence), composite outcome of BPD or death (OR 0.76 [0.66, 0.88]; moderate evidence). Mortality increase was found (OR 1.20 [1.12, 1.29], very low evidence).Caffeine in the first 24 HOL has benefits in reducing morbidities associated with prematurity. Mortality finding is potentially due to survival bias.
PubMed: 38956314
DOI: 10.1038/s41372-024-02042-x -
Scientific Reports Jul 2024This study aims to explore the risk factors associated with frozen shoulder (FS) and develop a predictive model for diagnosing FS, in order to facilitate early detection...
This study aims to explore the risk factors associated with frozen shoulder (FS) and develop a predictive model for diagnosing FS, in order to facilitate early detection of the condition. A total of 103 patients diagnosed with FS and admitted to the Department of Joint Surgery at Suining Central Hospital between October 2021 and October 2023 were consecutively included in the study. Additionally, 309 individuals without shoulder joint diseases, matched for age and gender, who visited the department during the same time, were included as the control group.The complete recording of clinical data for all patients was followed by the utilization of statistical tests such as the Mann-Whitney U test, sample t test, and chi-square test to compare different groups. Additionally, multivariate binary logistic regression analysis was employed to identify risk factors associated with the occurrence of FS in patients, leading to the establishment of a prediction model and derivation of a simplified equation. The diagnostic effectiveness of individual indicators and prediction models was assessed through the use of receiver operating characteristic (ROC) curve analysis. In the sample of 103 individuals, 35 were identified as male and 68 as female, with an average age range of 40-70 years (mean age: 54.20 ± 6.82 years). The analysis conducted between different groups revealed that individuals with a low body mass index (BMI), in conjunction with other factors such as diabetes, cervical spondylosis, atherosclerosis, and hyperlipidemia, were more susceptible to developing FS. Logistic regression analysis further indicated that low BMI, diabetes, cervical spondylosis, and hyperlipidemia were significant risk factors for the occurrence of FS. These variables were subsequently incorporated into a predictive model, resulting in the creation of a simplified equation.The ROC curve demonstrated that the combined indicators in the predictive model exhibited superior diagnostic efficacy compared to single indicators, as evidenced by an area under the curve of 0.787, sensitivity of 62.1%, and specificity of 82.2%. Low BMI, diabetes, cervical spondylosis, and hyperlipidemia are significant risk factors associated with the occurrence of FS. Moreover, the utilization of a prediction model has demonstrated superior capability in forecasting the likelihood of FS compared to relying solely on individual indicators. This finding holds potential in offering valuable insights for the early diagnosis of FS.
Topics: Humans; Male; Female; Bursitis; Middle Aged; Risk Factors; Aged; Adult; ROC Curve; Body Mass Index; Logistic Models
PubMed: 38956312
DOI: 10.1038/s41598-024-66360-y -
Scientific Reports Jul 2024In recent times, the pathogenesis of generalized anxiety disorder (GAD) and the influence of pro- and anti-inflammatory cytokines on it have garnered considerable...
In recent times, the pathogenesis of generalized anxiety disorder (GAD) and the influence of pro- and anti-inflammatory cytokines on it have garnered considerable interest. Cytokine research, especially Th-17 cytokine research on GAD patients, is limited. Here, we aim to assess the role of interleukin-17A (IL-17A) and interleukin-23A (IL-23A) in the pathophysiology and development of GAD. This investigation included 50 GAD patients and 38 age-sex-matched healthy controls (HCs). A psychiatrist diagnosed patients with GAD and assessed symptom severity using the DSM-5 and the GAD-7 scales. The serum concentrations of IL-17A and IL-23A were determined using commercially available ELISA kits. GAD patients exhibited elevated levels of IL-17A (77.14 ± 58.30 pg/ml) and IL-23A (644.90 ± 296.70 pg/ml) compared to HCs (43.50 ± 25.54 pg/ml and 334.40 ± 176.0 pg/ml). We observed a positive correlation between disease severity and cytokine changes (IL-23A: r = 0.359, p = 0.039; IL-17A: r = 0.397, p = 0.032). These findings indicate that IL-17A and IL-23A may be associated with the pathophysiology of GAD. ROC analysis revealed moderately higher AUC values (IL-23A: 0.824 and IL-17A: 0.710), demonstrating their potential to discriminate between patients and HCs. Also, the sensitivity values of both cytokines were relatively higher (IL-23A: 80.49% and IL-17A: 77.27%). According to the present findings, there may be an association between peripheral serum levels of IL-17A and IL-23A and the pathophysiology and development of GAD. These altered serum IL-17A and IL-23A levels may play a role in directing the early risk of developing GAD. We recommend further research to ascertain their exact role in the pathophysiology and their performance as risk assessment markers of GAD.
Topics: Humans; Interleukin-17; Male; Female; Anxiety Disorders; Adult; Interleukin-23 Subunit p19; Case-Control Studies; Biomarkers; Middle Aged; Severity of Illness Index
PubMed: 38956309
DOI: 10.1038/s41598-024-66131-9 -
Scientific Reports Jul 2024This study evaluated the level of risk practices and awareness of leptospirosis among residents of Zaria, Nigeria. A pre-tested questionnaires were administered via...
This study evaluated the level of risk practices and awareness of leptospirosis among residents of Zaria, Nigeria. A pre-tested questionnaires were administered via face-to-face interview to 100 residents. The data was analyzed using chi-square and multivariate analysis to identify risk factors for leptospirosis. The demography showed that the majority of the respondents were male, aged 21-40 years, and majorly crop farmers. The risk factors identified showed that males were 4.14 times more likely to be affected by leptospirosis (OR 4.14, 95% CI [1.93-5.37], p = 0.02) and the source of animal's water was 5.56 times more likely to be contaminated by Leptospira spp. (OR 4.14, 95% CI [2.88-8.03], p = 0.01) and these relationships were significant. The majority of respondents were not aware of the disease (OR 1.87, 95% CI [1.22-4.57], p = 0.01) with 78% of the respondents not sure of which of the animal species leptospirosis affected (OR 1.67, 95% CI [1.07-2.62], p = 0.02). This study has demonstrated the existence of risk behaviors, and paucity of knowledge about leptospirosis in the study area. It is therefore recommended to organize an enlightenment program and the need for protective clothing for individuals occupationally at risk of infection by Leptospira spp.
Topics: Humans; Leptospirosis; Male; Nigeria; Adult; Female; Health Knowledge, Attitudes, Practice; Young Adult; Risk Factors; Surveys and Questionnaires; Middle Aged; Leptospira; Animals; Adolescent
PubMed: 38956307
DOI: 10.1038/s41598-024-66361-x -
Scientific Reports Jul 2024Pan-Immune-Inflammation Value (PIV) has recently received more attention as a novel indicator of inflammation. We aimed to evaluate the association between PIV and...
Pan-Immune-Inflammation Value (PIV) has recently received more attention as a novel indicator of inflammation. We aimed to evaluate the association between PIV and prognosis in septic patients. Data were extracted from the Medical Information Mart for Intensive Care IV database. The primary and secondary outcomes were 28-day and 90-day mortality. The association between PIV and outcomes was assessed by Kaplan-Meier curves, Cox regression analysis, restricted cubic spline curves and subgroup analysis. A total of 11,331 septic patients were included. Kaplan-Meier curves showed that septic patients with higher PIV had lower 28-day survival rate. In multivariable Cox regression analysis, log2-PIV was positively associated with the risk of 28-day mortality [HR (95% CI) 1.06 (1.03, 1.09), P < 0.001]. The relationship between log2-PIV and 28-day mortality was non-linear with a predicted inflection point at 8. To the right of the inflection point, high log2-PIV was associated with an increased 28-day mortality risk [HR (95% CI) 1.13 (1.09, 1.18), P < 0.001]. However, to the left of this point, this association was non-significant [HR (95% CI) 1.01 (0.94, 1.08), P = 0.791]. Similar results were found for 90-day mortality. Our study showed a non-linear relationship between PIV and 28-day and 90-day mortality risk in septic patients.
Topics: Humans; Sepsis; Male; Female; Retrospective Studies; Middle Aged; Aged; Prognosis; Inflammation; Kaplan-Meier Estimate; Biomarkers; Intensive Care Units; Proportional Hazards Models
PubMed: 38956306
DOI: 10.1038/s41598-024-66142-6 -
Scientific Reports Jul 2024Recent studies show declining trends in hysterectomy rates in several countries. The objective of this study was to analyse hysterectomy time trends in Germany over a...
Recent studies show declining trends in hysterectomy rates in several countries. The objective of this study was to analyse hysterectomy time trends in Germany over a fifteen-year period using an age-period-cohort approach. Using an ecological study design, inpatient data from Diagnoses Related Group on hysterectomies by subtype performed in Germany from 2005 to 2019 were retrieved from the German Statistical Office. Descriptive time trends and age-period-cohort analyses were then performed. A total of 1,974,836 hysterectomies were performed over the study period. The absolute number of hysterectomies reduced progressively from 155,680 (365 procedures/100,000 women) in 2005 to 101,046 (257 procedures/100,000 women) in 2019. Total and radical hysterectomy decreased by 49.7% and 44.2%, respectively, whilst subtotal hysterectomy increased five-fold. The age-period-cohort analysis revealed highest hysterectomy rates in women aged 45-49 for total and subtotal hysterectomy with 608.63 procedures/100,000 women (95% CI 565.70, 654.82) and 151.30 procedures/100,000 women (95% CI 138.38, 165.44) respectively. Radical hysterectomy peaked later at 65-69 years with a rate of 40.63 procedures/100,000 women (95% CI 38.84, 42.52). The risk of undergoing total or radical hysterectomy decreased over the study period but increased for subtotal hysterectomy. Although, overall hysterectomy rates have declined, subtotal hysterectomy rates have increased; reflecting changes in clinical practice largely influenced by the availability of uterus-sparing options, evolving guidelines and introduction of newer surgical approaches.
Topics: Humans; Hysterectomy; Female; Germany; Middle Aged; Aged; Adult; Cohort Studies; Incidence; Age Factors; Aged, 80 and over; Young Adult
PubMed: 38956303
DOI: 10.1038/s41598-024-66019-8 -
Experimental & Molecular Medicine Jul 2024Circadian disruption, as a result of shiftwork, jet lag, and other lifestyle factors, is a common public health problem associated with a wide range of diseases, such as...
Circadian disruption, as a result of shiftwork, jet lag, and other lifestyle factors, is a common public health problem associated with a wide range of diseases, such as metabolic disorders, neurodegenerative diseases, and cancer. In the present study, we established a chronic jet lag model using a time shift method every 3 days and assessed the effects of circadian disruption on ocular surface homeostasis. Our results indicated that jet lag increased corneal epithelial defects, cell apoptosis, and proinflammatory cytokine expression. However, the volume of tear secretion and the number of conjunctival goblet cells did not significantly change after 30 days of jet lag. Moreover, further analysis of the pathogenic mechanism using RNA sequencing revealed that jet lag caused corneal transmembrane mucin deficiency, specifically MUC4 deficiency. The crucial role of MUC4 in pathogenic progression was demonstrated by the protection of corneal epithelial cells and the inhibition of inflammatory activation following MUC4 replenishment. Unexpectedly, genetic ablation of BMAL1 in mice caused MUC4 deficiency and dry eye disease. The underlying mechanism was revealed in cultured human corneal epithelial cells in vitro, where BMAL1 silencing reduced MUC4 expression, and BMAL1 overexpression increased MUC4 expression. Furthermore, melatonin, a circadian rhythm restorer, had a therapeutic effect on jet lag-induced dry eye by restoring the expression of BMAL1, which upregulated MUC4. Thus, we generated a novel dry eye mouse model induced by circadian disruption, elucidated the underlying mechanism, and identified a potential clinical treatment.
PubMed: 38956298
DOI: 10.1038/s12276-024-01269-0 -
Scientific Reports Jul 2024Historically, the analysis of stimulus-dependent time-frequency patterns has been the cornerstone of most electroencephalography (EEG) studies. The abnormal oscillations...
Historically, the analysis of stimulus-dependent time-frequency patterns has been the cornerstone of most electroencephalography (EEG) studies. The abnormal oscillations in high-frequency waves associated with psychotic disorders during sensory and cognitive tasks have been studied many times. However, any significant dissimilarity in the resting-state low-frequency bands is yet to be established. Spectral analysis of the alpha and delta band waves shows the effectiveness of stimulus-independent EEG in identifying the abnormal activity patterns of pathological brains. A generalized model incorporating multiple frequency bands should be more efficient in associating potential EEG biomarkers with first-episode psychosis (FEP), leading to an accurate diagnosis. We explore multiple machine-learning methods, including random-forest, support vector machine, and Gaussian process classifier (GPC), to demonstrate the practicality of resting-state power spectral density (PSD) to distinguish patients of FEP from healthy controls. A comprehensive discussion of our preprocessing methods for PSD analysis and a detailed comparison of different models are included in this paper. The GPC model outperforms the other models with a specificity of 95.78% to show that PSD can be used as an effective feature extraction technique for analyzing and classifying resting-state EEG signals of psychiatric disorders.
Topics: Humans; Psychotic Disorders; Electroencephalography; Female; Male; Adult; Support Vector Machine; Young Adult; Rest; Machine Learning; Brain; Adolescent; Signal Processing, Computer-Assisted
PubMed: 38956297
DOI: 10.1038/s41598-024-66110-0