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Nevin Manimala Statistics

Microbiome differences in periodontal, peri-implant, and healthy sites: a cross-sectional pilot study

Clin Oral Investig. 2021 Nov 26. doi: 10.1007/s00784-021-04253-4. Online ahead of print.

ABSTRACT

OBJECTIVES: To explore microbial communities associated with health and disease status around teeth and dental implants.

MATERIALS AND METHODS: A total of 10 healthy, 24 periodontitis, and 24 peri-implant sites from 24 patients were sequenced by next-generation sequencing. Microbial DNA was extracted and 16S rRNA gene was amplified. Bioinformatic analyses were performed using quantitative insights into microbial ecology (QIIME), linear discriminant analysis effect size (LEfSE), and STAMP.

RESULTS: Differences in microbial diversity across three types of sites were not statistically significant. Several genera and species were more prevalent in healthy compared with diseased sites, including Lautropia, Rothia and Capnocytophaga and Kingella. Among diseased sites, Peptostreptococcaceae, Dialister, Mongibacterium, Atopobium, and Filifactor were over-represented in peri-implantitis sites, while Bacteroidales was more abundant in periodontitis sites.

CONCLUSIONS: Diseased periodontal and peri-implant sites and corresponding healthy sites have distinct microbiological profiles. These findings suggest that microbial analyses could identify biomarkers for periodontal health and disease and lead to the development of new strategies to improve periodontal health and treat peri-implant and periodontal diseases.

CLINICAL RELEVANCE: The study contributes to improving our understanding of healthy, periodontally affected, and peri-implantitis sites which can improve our ability to diagnose, monitor, and manage these oral conditions.

PMID:34826030 | DOI:10.1007/s00784-021-04253-4

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Nevin Manimala Statistics

Influence of periapical lesion size on healing outcome following regenerative endodontic procedures: a clinical investigation

Oral Radiol. 2021 Nov 26. doi: 10.1007/s11282-021-00578-8. Online ahead of print.

ABSTRACT

OBJECTIVES: The current study aimed to investigate the influence of the periapical lesion size on healing outcome following Regenerative Endodontic Procedures (REPs) in mature teeth using cone-beam computed tomography (CBCT) and Mimics software.

METHODS: The study included ten mature necrotic maxillary anterior teeth with periapical lesions ≥ 3 CBCT Periapical index score (CBCTPAI). REPs via blood clots were performed for all the teeth. CBCT scans were taken pre and postoperatively after 12 months follow-up periods and transferred to Mimics for volume measurements and comparison. Statistical analysis was performed using the Wilcoxon signed-rank test.

RESULT: All teeth were symptom-free with a statistically significant decrease in the volume of the periapical lesion (P < 0.05) after 12 months except for one case.

CONCLUSION: The study concluded that REPs could be a successful treatment modality for mature necrotic teeth with periapical lesions however the size of the preoperative periapical lesion could affect the outcome of the periapical healing.

TRIAL REGISTRATION: The study was registered in ClinicalTrials.gov (ID: NCT04646538).

PMID:34826060 | DOI:10.1007/s11282-021-00578-8

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Nevin Manimala Statistics

Dimensional and histomorphometric evaluation of biomaterials used for alveolar ridge preservation: a systematic review and network meta-analysis

Clin Oral Investig. 2021 Nov 26. doi: 10.1007/s00784-021-04248-1. Online ahead of print.

ABSTRACT

OBJECTIVES: This systematic review and network meta-analysis aimed to answer to the following questions: (a) In patients undergoing alveolar ridge preservation after tooth extraction, which grafting material best attenuates horizontal and vertical ridge resorption, as compared to spontaneous healing?, and (b) which material(s) promotes bone formation in the extraction socket?

MATERIALS AND METHODS: The MEDLINE, SCOPUS, CENTRAL, and EMBASE databases were screened in duplicate for RCTs up to March 2021. Two independent authors extracted the data and assessed the risk of bias of the included studies. Primary outcomes were ridge horizontal and vertical dimension changes and new bone formation into the socket. Both pairwise and network meta-analysis (NMA) were undertaken to obtain estimates for primary outcomes and compare different grafting materials.

RESULTS: Eighty-eight RCTs were included, with a total of 2805 patients and 3073 sockets. Overall, a total of 1740 sockets underwent alveolar ridge preservation with different materials (1432 were covered by a membrane). Pairwise meta-analysis showed that, as compared to spontaneous healing, all materials statistically significantly reduced horizontal and vertical shrinkage. According to the multidimensional scale ranking of the NMA, xenografts (XG) and allografts (AG), alone or combined with bioactive agents (Bio + AG), were the most predictable materials for horizontal and vertical ridge dimension preservation, while platelet concentrates performed best in the percentage of new bone formation.

CONCLUSIONS: Alveolar ridge preservation is effective in reducing both horizontal and vertical shrinkage, as compared to untreated sockets. NMA confirmed the consistency of XG for ridge dimension preservation, but several other materials and combinations like AG, Bio + AG, and AG + alloplasts, produced even better results than XG in clinical comparisons. Further evidence is needed to confirm the value of such alternatives to XG for alveolar ridge preservation. Bio + AG performed better than the other materials in preserving ridge dimension and platelet concentrates in new bone formation. However, alloplasts, xenografts, and AG + AP performed consistently good in majority of the clinical comparisons.

CLINICAL RELEVANCE: XG and Bio + AG demonstrated significantly better performance in minimizing post-extraction horizontal and vertical ridge dimension changes as compared with other grafting materials or with spontaneous healing, even if they presented the worst histological outcomes. Allografts and other materials or combinations (AG + AP) presented similar performances while spontaneous healing ranked last.

PMID:34826029 | DOI:10.1007/s00784-021-04248-1

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Nevin Manimala Statistics

Insulin-sensitizing effect and antioxidant action of alpha lipoic acid in oligomenorrheic women with polycystic ovary syndrome

Minerva Obstet Gynecol. 2021 Nov 26. doi: 10.23736/S2724-606X.21.04983-6. Online ahead of print.

ABSTRACT

BACKGROUND: Polycystic ovary syndrome (PCOS) is a low-grade inflammatory disease characterized by anovulation and hyperandrogenism, associated with insulin-resistance. The aim of our study was to investigate the effects of a treatment with alpha-lipoic acid on clinical, endocrine and metabolic features of women affected by PCOS.

METHODS: In this pilot cohort study, 60 women (30 hyperinsulinemic and 30 normoinsulinemic patients; age 15-34 years) were enrolled and clinical, hormonal and metabolic parameters were evaluated before and after a six-months treatment with alpha-lipoic acid 800 mg/daily. Investigations were performed during the early follicular phase of the menstrual cycles (spontaneous or progestin-induced cycles): after fasting overnight for 10-12 h, blood samples were collected for hormonal and metabolic assays and oral glucose tolerance test and pelvic ultrasound were performed. Total Antioxidant Capacity was expressed as LAG time.

RESULTS: The treatment was able to increase the number of menstrual cycles during the 6 months considered in all patients and to reduce BMI in the normoinsulinemic population. In hyperinsulinemic patients we observed a statistically significant reduction in AUC-I as well as an increase of total antioxidant capacity.

CONCLUSIONS: The relevant results in restoring menstrual cyclicity in both groups, in addition to the antioxidant effect, confirm that hyperinsulinemia influences only the metabolic response to the treatment, without predict the ovarian function. Even if alpha-lipoic acid mechanisms of action is not clear and further studies are needed to confirm these results, it could be considered a valid therapeutic alternative to traditional drugs, without side effects as reported.

PMID:34825791 | DOI:10.23736/S2724-606X.21.04983-6

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Nevin Manimala Statistics

Automated deep learning-based paradigm for high-risk plaque detection in B-mode common carotid ultrasound scans: an asymptomatic Japanese cohort study

Int Angiol. 2021 Nov 26. doi: 10.23736/S0392-9590.21.04771-4. Online ahead of print.

ABSTRACT

BACKGROUND: The death due to stroke is caused by embolism of the arteries which is due to the rupture of the atherosclerotic lesions in carotid arteries. The lesion formation is over time, and thus, early screening is recommended for asymptomatic and moderate-risk patients. The previous techniques adopted conventional methods or semi-automated and, more recently, machine learning solutions. A handful of studies have emerged based on solo deep learning (SDL) models such as UNet architecture.

METHODS: The proposed research is the first to adopt hybrid deep learning (HDL) artificial intelligence models such as SegNet-UNet. This model is benchmarked against UNet and advanced conventional models using scale-space such as AtheroEdge 2.0 (AtheroPoint, CA, USA). All our resultant statistics of the three systems were in the order of UNet, SegNet-UNet, and AtheroEdge 2.0.

RESULTS: Using the database of 379 ultrasound scans from a Japanese cohort of 190 patients having moderate risk and implementing the cross-validation deep learning framework, our system performance using area-under-the-curve (AUC) for UNet, SegNet-UNet, and AtheroEdge 2.0 were 0.93, 0.94, and 0.95 (p<0.001), respectively. The coefficient of correlation between the three systems and ground truth (GT) were: 0.82, 0.89, and 0.85 (p<0.001 for all three), respectively. The mean absolute area error for the three systems against manual GT was 4.07±4.70 mm2, 3.11±3.92 mm2, 3.72±4.76 mm2, respectively, proving the superior performance SegNet-UNet against UNet and AtheroEdge 2.0, respectively. Statistical tests were also conducted for their reliability and stability.

CONCLUSIONS: The proposed study demonstrates a fast, accurate, and reliable solution for early detection and quantification of plaque lesions in common carotid artery ultrasound scans. The system runs on a test US image in < 1 second, proving overall performance to be clinically reliable.

PMID:34825801 | DOI:10.23736/S0392-9590.21.04771-4

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Nevin Manimala Statistics

Mentoring of nursing students-A comparative study of Japan and five European countries

Jpn J Nurs Sci. 2021 Nov 25:e12461. doi: 10.1111/jjns.12461. Online ahead of print.

ABSTRACT

AIMS: This study aimed to explore mentoring competence in nursing student mentors during clinical practice by identifying different mentor profiles and connections between different competence areas among five European countries and Japan.

METHODS: The study implemented a cross-sectional design in Finland, Italy, Lithuania, Slovenia, Spain, and Japan during 2016 and 2019. In total, 6208 mentors were invited, and 1862 participated from 58 healthcare organizations. The data were collected with a survey questionnaire by including background question items with the Mentor Competence Instrument. K-clustering and structural equation modeling were used for data analysis.

RESULTS: Four mentor profiles, A (43%), B (30%), C (18%), and D (9%), were identified according to the seven mentoring competence areas with high statistical significance (p < 0.001). Higher mentoring competence (mean >3.50) was observed among Finnish, Lithuanian, and Slovenian mentors with university education in nursing, older ages, more work experience, and previous education in mentoring. Lower competence (mean <2.49) was observed among Japanese and Italian mentors with diplomas in nursing, younger ages, less work experience, and no previous education in mentoring.

CONCLUSION: Mentoring requires motivated, highly competent mentors since mentoring is a critical aspect of nursing education. Mentoring roles should be given to nurses with higher education and mentoring training. Younger, less experienced nurses without formal mentoring training may need support from senior nurses when performing mentoring roles and could also facilitate a more balanced workload between patient care and mentoring for senior nurses.

PMID:34825767 | DOI:10.1111/jjns.12461

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Nevin Manimala Statistics

Efficacy and safety testing of dissolving microarray patches in Chinese subjects

J Cosmet Dermatol. 2021 Nov 26. doi: 10.1111/jocd.14594. Online ahead of print.

ABSTRACT

OBJECTIVES: There is a lack of clinical research in the Chinese market concerning dissolving microarray (DMA) patches in cosmetic applications. In this study, the clinical efficacy and safety tests of DMA patch technology were performed on Chinese consumers.

METHODS: A 4-week clinical efficacy and safety evaluation was conducted on 30 Chinese female subjects with crow’s feet and eye bags. DMA patches loaded with hyaluronic acid (HA-DMA) were applied under the eyes and corners of the eyes of the subjects three times a week over four consecutive weeks. Skin firmness and dermal layer strength were measured using ultrasound, and changes in skin wrinkles were detected using VISIA-CR and Primos Lite. Eye bag ratings were evaluated by professional dermatologists based on the 0-6 grades of eye bags in the “Skin Aging Atlas Volume 2: Asian Type.”

RESULTS: HA-DMA patches produced good clinical improvements on both crow’s feet and eye bags in the study participants. HA-DMA effectively increased skin firmness while reducing the number, area, and volume of crow’s feet, along with reducing eye bag ratings. The reductions in all metrics were statistically significant with positive effects evident in as little as 1 week of treatment. There were no adverse effects related to the treatments observed during the test period.

CONCLUSIONS: In a clinical efficacy trial of 30 Chinese female subjects, HA-DMA showed excellent therapeutic benefits without adverse effects while reducing crow’s feet and eye bags. HA-DMA is expected to be a safe, effective, and novel cosmetic for improving the appearance of aging skin.

PMID:34825760 | DOI:10.1111/jocd.14594

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Nevin Manimala Statistics

Gingival pigmentation: Concurrent assessment of distribution, intensity, and extent in a black population

J Esthet Restor Dent. 2021 Nov 26. doi: 10.1111/jerd.12846. Online ahead of print.

ABSTRACT

OBJECTIVE: To evaluate prevalence, distribution, intensity and extent of physiologic gingival melanin pigmentation (GMP) in black individuals.

MATERIALS AND METHODS: For this cross-sectional study, GMP was evaluated on digital images by three calibrated examiners, according to de Krom (distribution), DOPI (intensity) and Melanin Index (extent) classifications. Descriptive statistics, Wilcoxon, Mann-Whitney, Kruskal-Wallis, Two-way ANOVA, chi square, and K-means cluster analysis were used.

RESULTS: Seventy participants were recruited. The most prevalent GMP categories were: de Krom category 2 (34.3%), DOPI heavy intensity (57.2%), and Melanin index Degree IV (50%). Significant inter-group differences were found for age (p < 0.05) but not gender (p > 0.05). Significant correspondence/overlap was observed between classifications (p > 0.05). Three GMP clusters were identified: Cluster 1 (27%; n = 19) had mild asymmetric and interspersed pigmentation; Cluster 2 (46%; n = 32) had heavy pigmentation in one long continuous ribbon, with pink marginal gingiva; and Cluster 3 (27%; n = 19) had heavy pigmentation in one long continuous ribbon, symmetric, and uniform.

CONCLUSIONS: There may be overlap among GMP classification systems. In black individuals, the predominant GMP presentation is one of a broad zone of heavily pigmented attached gingiva, in a continuous strip from central incisors to canines, symmetrical across the midline, and with pink free marginal gingiva.

CLINICAL RELEVANCE: This is the first study to analyze distribution, intensity, and extent of gingival melanin pigmentation in the same population and to integrate the various classification systems through cluster analysis. The novel findings provide a foundation for patient assessment and counseling and for future studies.

PMID:34825763 | DOI:10.1111/jerd.12846

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Nevin Manimala Statistics

Smartphone-based exercise intervention for chronic pain: PainReApp randomized clinical trial protocol

J Adv Nurs. 2021 Nov 26. doi: 10.1111/jan.15095. Online ahead of print.

ABSTRACT

AIM: To evaluate the effectiveness of PainReApp, an mHealth system, based on physical exercise recommendations for patients with chronic pain (low back pain, fibromyalgia and diabetic neuropathic pain) based on pain intensity, quality of life, anxiety and/or depression, and sleep quality.

DESIGN: Single-blinded randomized controlled trial.

METHODS: One hundred patients from three different chronic conditions (low back pain, fibromyalgia and neuropathic diabetic pain) will be recruited and randomized into two groups to receive the intervention with a physical activity program guided by the PainReApp system (experimental group) or with the program information in paper format (control group). All patients will attend a first face-to-face session in which the smartphone application usage (experimental group) and exercise execution will be explained (both groups). Data will be collected at baseline, 4, 12 and 24 weeks. Nevertheless, the users of the application will have a daily registry of the exercise performed and the self-perceived difficulty. The primary outcomes of the trial will be the intensity of pain and quality of life. Anxiety and/or depression and sleep quality will be also assessed to evaluate the influence of the physical activity at multiple levels.

DISCUSSION: Physical exercise is becoming one of the leading evidence-based interventions to treat chronic pain. It needs to be adapted to the necessities of each pain condition. One of the major problems is the low adherence to the proposed program. New strategies that empower the patients, such as the m-Health, are reliable and useful tools to ease this end.

IMPACT: To the best of our knowledge, this is the first long-term randomized controlled trial researching the impact of an m-health system on chronic pain from different origin. The intervention is based on international physical exercise recommendations and can be performed without specific material, allowing the home-based practice.

TRIAL REGISTRATION: Australian and New Zealand Clinical Trials Registry (ACTRN12621000783820).

PMID:34825739 | DOI:10.1111/jan.15095

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Nevin Manimala Statistics

Identification of novel biomarkers for sepsis diagnosis via serum proteomic analysis using iTRAQ-2D-LC-MS/MS

J Clin Lab Anal. 2021 Nov 26:e24142. doi: 10.1002/jcla.24142. Online ahead of print.

ABSTRACT

BACKGROUND: Sepsis is a common cause of morbidity and mortality in the ICU patients. Early diagnosis and appropriate patient management is the key to improve the patient survival and to limit disabilities in sepsis patients. This study was aimed to find new diagnostic biomarkers of sepsis.

METHODS: In this study, serum proteomic profiles in sepsis patients by iTRAQ2D-LC-MS/MS. Thirty seven differentially expressed proteins were identified in patients with sepsis, and six proteins including ApoC3, SERPINA1, VCAM1, B2M, GPX3, and ApoE were selected for further verification by ELISA and immunoturbidimetry in 53 patients of non-sepsis, 37 patients of sepsis, and 35 patients of septic shock. Descriptive statistics, functional enrichment analysis, and ROC curve analysis were conducted.

RESULTS: The level of ApoC3 was gradually decreased among non-sepsis, sepsis, and septic shock groups (p = 0.049). The levels of VCAM1 (p = 0.010), B2M (p = 0.004), and ApoE (p = 0.039) were showing an increased tread in three groups, with the peak values of B2M and ApoE in the sepsis group. ROC curve analysis for septic diagnosis showed that the areas under ROC curve (AUC) of ApoC3, VCAM1, B2M, and ApoE were 0.625, 0.679, 0.581, and 0.619, respectively, which were lower than that of PCT (AUC 0.717) and CRP (AUC 0.706), but there were no significant differences between each index and PCT or CRP. The combination including four validated indexes and two classical infection indexes for septic diagnosis had the highest AUC-ROC of 0.772.

CONCLUSION: Proteins of ApoC3, VCAM1, B2M, and ApoE provide a supplement to classical biomarkers for septic diagnosis.

PMID:34825737 | DOI:10.1002/jcla.24142