Categories
Nevin Manimala Statistics

Intraoral scanner-based monitoring of tooth wear in young adults: 24-month results

Clin Oral Investig. 2023 Jan 10. doi: 10.1007/s00784-023-04858-x. Online ahead of print.

ABSTRACT

OBJECTIVES: Tooth wear causes irreversible cumulated surface loss and already occurs at a young age. Therefore, the objective of this clinical prospective observational study was to monitor the occlusal surface of a mandibular first molar in young adults for a period of 24 months. Furthermore, potential aetiological factors obtained by a questionnaire were considered.

MATERIALS AND METHODS: The study teeth (FDI #36 or #46) of 81 participants (mean age 22.8 ± 2.2 years) were scanned with the intraoral scanner (IOS, Trios 3, 3Shape) at the second follow-up (T2) after an observation period of 24 months. Standard-tessellation-language datasets were superimposed with baseline (T0) and T2 scans in 3D analysis software (GOM Inspect). The maximum vertical substance loss was measured between T0 and T2 at 6/7 areas (4/5 cusps and 2 ridges) of each study tooth and data compared to the already published data of the first follow-up (T1) after 12-month observation period. The morphology of tooth wear was classified into three groups: cupping (C), facet (F) and combined cupping-facet (CF). The analysis of aetiological factors, such as acid impacts, was based on a questionnaire filled out by participants at time points T0, T1 and T2. Non-parametric tests were used for statistical analysis (p < 0.05).

RESULTS: The buccal load-bearing cusps (mesiobuccal: median 15 μm, 95%CI 11/18 μm; mesiolingual 8 μm, 0/11 μm) were most affected by tooth wear. Loss values increased significantly at T2 compared to T1 for all areas, although significantly less than in the first 12 months (T0-T1). Areas that already exhibited F at T0 mostly displayed them also at T2 and only rarely developed further into C or CF. The only association between aetiological factors and loss values could be detected for sex as males had significantly higher loss values than females.

CONCLUSIONS: Progression of tooth wear could be clearly shown with high interindividual variations in loss values among participants. This indicates the need for individual monitoring with IOS.

CLINICAL RELEVANCE: IOSs show the potential for patient-specific monitoring to detect the progression of tooth wear. Thus, data of 24 months fills the gap of tooth wear data for young adults in literature. Further studies over a longer observation period are highly recommended to gain more information about the dynamic of tooth wear and aetiological factors.

PMID:36625960 | DOI:10.1007/s00784-023-04858-x

Categories
Nevin Manimala Statistics

Correction: An SIRS model with nonmonotone incidence and saturated treatment in a changing environment

J Math Biol. 2023 Jan 10;86(2):27. doi: 10.1007/s00285-022-01853-w.

NO ABSTRACT

PMID:36625958 | DOI:10.1007/s00285-022-01853-w

Categories
Nevin Manimala Statistics

Health Experiences of Nurses during the COVID-19 Pandemic: A Mixed Methods Study

West J Nurs Res. 2023 Jan 10:1939459221148825. doi: 10.1177/01939459221148825. Online ahead of print.

ABSTRACT

This study characterizes the impact of the COVID-19 pandemic on the mental and physical health of nurses. Qualitative data (collected using semi-structured interviews) were integrated with quantitative data (collected concurrently using the SF-12 Health Survey). Nurses (N = 30) compared their health prior to and during the first pandemic wave (March-May 2020). Interviews were analyzed thematically; descriptive statistics and t-tests compared pre-pandemic to current SF-12 scores. Qualitative findings demonstrated an impact on nurses’ mental health expressed as isolation, loss, intense emotions, and feelings of being expendable. Impact on nurses’ physical health included exhaustion, personal protective equipment skin breakdown, limited breaks from work, and virus exposure. Quantitative results show nurses’ experienced declines in overall mental health (p < .001), and multiple physical health domains: role limitations due to physical problems (p < .0001), bodily pain (p < .0001), and general health (p < .0001). Promotion of nurses’ well-being and safety, as well as education in emergency preparedness, must be given precedence to protect nurses’ health.

PMID:36625341 | DOI:10.1177/01939459221148825

Categories
Nevin Manimala Statistics

How Can the Trust-Change Direction be Measured and Identified During Takeover Transitions in Conditionally Automated Driving? Using Physiological Responses and Takeover-Related Factors

Hum Factors. 2023 Jan 10:187208221143855. doi: 10.1177/00187208221143855. Online ahead of print.

ABSTRACT

OBJECTIVE: This paper proposes an objective method to measure and identify trust-change directions during takeover transitions (TTs) in conditionally automated vehicles (AVs).

BACKGROUND: Takeover requests (TORs) will be recurring events in conditionally automated driving that could undermine trust, and then lead to inappropriate reliance on conditionally AVs, such as misuse and disuse.

METHOD: 34 drivers engaged in the non-driving-related task were involved in a sequence of takeover events in a driving simulator. The relationships and effects between drivers’ physiological responses, takeover-related factors, and trust-change directions during TTs were explored by the combination of an unsupervised learning algorithm and statistical analyses. Furthermore, different typical machine learning methods were applied to establish recognition models of trust-change directions during TTs based on takeover-related factors and physiological parameters.

RESULT: Combining the change values in the subjective trust rating and monitoring behavior before and after takeover can reliably measure trust-change directions during TTs. The statistical analysis results showed that physiological parameters (i.e., skin conductance and heart rate) during TTs are negatively linked with the trust-change directions. And drivers were more likely to increase trust during TTs when they were in longer TOR lead time, with more takeover frequencies, and dealing with the stationary vehicle scenario. More importantly, the F1-score of the random forest (RF) model is nearly 77.3%.

CONCLUSION: The features investigated and the RF model developed can identify trust-change directions during TTs accurately.

APPLICATION: Those findings can provide additional support for developing trust monitoring systems to mitigate both drivers’ overtrust and undertrust in conditionally AVs.

PMID:36625335 | DOI:10.1177/00187208221143855

Categories
Nevin Manimala Statistics

Development of an automated colorimeter controlled by Raspberry Pi4

Anal Methods. 2023 Jan 10. doi: 10.1039/d2ay01532c. Online ahead of print.

ABSTRACT

A low-cost new instrument to carry out automated colorimetric analysis has been developed. The device consists of a carousel sampler, built by a 3D-printer, and a Raspberry Pi4-controlled signal measurement module based on the RGBC (red, green, blue and clear) responses of a TCS34725 color light-to-digital converter with IR filter. The device has been tested with calibration standards of different food dyes (Tartrazine, Red Allure AC and Brilliant Blue FCF) and three food samples containing one of each food dye. The new device provides R2 > 0.995 and a LOD of 1.1, 1.4 and 0.1 μmol L-1 for each food dye, respectively. The results are statistically comparable to those obtained with a conventional benchtop spectrophotometer. The proposed device achieves a reduction in sample and waste volume and in analysis time, minimizes the use of energy, and allows in situ measurements, being an automated method it is safer for operators in comparison to the reference method, yielding similar analytical results and following the principles of green analytical chemistry.

PMID:36625306 | DOI:10.1039/d2ay01532c

Categories
Nevin Manimala Statistics

Age, ASA-status, and Changes in NSQIP Comorbidity Indices Reporting in Facial Fracture Repair

Laryngoscope. 2023 Jan 10. doi: 10.1002/lary.30559. Online ahead of print.

ABSTRACT

OBJECTIVE: To evaluate the impact of age and the American Society of Anesthesiologists (ASA) classification on post operative outcomes as well as the changes in the National Surgical Quality Improvement Program (NSQIP) database reporting of comorbidity index variables in patients with facial fractures.

METHODS: The NSQIP database was queried for facial fracture repair CPT codes between 2012 and 2019 and for modified Frailty Index (mFI) and modified Charlson Comorbidity Index (mCCI) variables between years 2006 and 2018. The predominant question analyzed two preoperative risk factors: patient and ASA classification. Chi-square analysis, Kruskal-Wallis, Mann-Whitney, Spearman correlation, and multivariable logistic regression were used to evaluate age and ASA classification with wound dehiscence, superficial surgical site infection (SSSI), deep wound infection (DWI), readmission status, and return to the OR. The reporting of indices variables was evaluated with descriptive statistics.

CONCLUSION: In this large database with univariate analysis, patients with a higher ASA classification and older patients experience significantly increased risks of readmission, return to the OR, and longer hospital stays. On multivariate analyses, ASA classes II, III, and IV are independently associated with increased risk of readmission and return to the OR, while controlling for patient age. The reporting of all mFI and mCCI variables were consistent from 2006 to 2010, but after 2011, there has been inconsistent or absent reporting of variables, therefore, conclusions on the impact of comorbidities on facial fracture repair are unreliable.

LEVEL OF EVIDENCE: 4 Laryngoscope, 2023.

PMID:36625305 | DOI:10.1002/lary.30559

Categories
Nevin Manimala Statistics

Bayesian hierarchical models for adaptive basket trial designs

Pharm Stat. 2023 Jan 10. doi: 10.1002/pst.2289. Online ahead of print.

ABSTRACT

Basket trials evaluate a single drug targeting a single genetic variant in multiple cancer cohorts. Empirical findings suggest that treatment efficacy across baskets may be heterogeneous. Most modern basket trial designs use Bayesian methods. These methods require the prior specification of at least one parameter that permits information sharing across baskets. In this study, we provide recommendations for selecting a prior for scale parameters for adaptive basket trials by using Bayesian hierarchical modeling. Heterogeneity among baskets attracts much attention in basket trial research, and substantial heterogeneity challenges the basic assumption of exchangeability of Bayesian hierarchical approach. Thus, we also allowed each stratum-specific parameter to be exchangeable or nonexchangeable with similar strata by using data observed in an interim analysis. Through a simulation study, we evaluated the overall performance of our design based on statistical power and type I error rates. Our research contributes to the understanding of the properties of Bayesian basket trial designs.

PMID:36625301 | DOI:10.1002/pst.2289

Categories
Nevin Manimala Statistics

The Effect of Naloxone Access Laws on Fatal Synthetic Opioid Overdose Fatality Rates

J Prim Care Community Health. 2023 Jan-Dec;14:21501319221147246. doi: 10.1177/21501319221147246.

ABSTRACT

BACKGROUND: Increases in fatal synthetic opioid overdoses over the past 8 years have left states scrambling for effective means to curtail these deaths. Many states have implemented policies and increased service capacity to address this rise. To better understand the effectiveness of policy level interventions we estimated the impact of the presence of naloxone access laws (NALs) on synthetic opioid fatalities at the state level.

METHODS: A multivariable longitudinal linear mixed model with a random intercept was used to determine the relationship between the presence of NALs and synthetic opioid overdose death rates, while controlling for, Good Samaritan laws, opioid prescription rate, and capacity for medication for opioid use disorder (MOUD), utilizing a quadratic time trajectory. Data for the study was collected from the National Vital Statistics System using multiple cause-of-death mortality files linked to drug overdose deaths.

RESULTS: The presence of an NAL had a significant (univariate P-value = .013; multivariable p-value = .010) negative relationship to fentanyl overdose death rates. Other significant controlling variables were quadratic time (univariate and multivariable P-value < .001), MOUD (univariate P-value < .001; multivariable P-value = .009), and Good Samaritan Law (univariate P-value = .033; multivariable P-value = .018).

CONCLUSION: Naloxone standing orders are strongly related to fatal synthetic opioid overdose reduction. The effect of NALs, MOUD treatment capacity, and Good Samaritan laws all significantly influenced the synthetic opioid overdose death rate. The use of naloxone should be a central part of any state strategy to reduce overdose death rate.

PMID:36625264 | DOI:10.1177/21501319221147246

Categories
Nevin Manimala Statistics

Influence of surface viscosities on the electrodeformation of a prolate viscous drop

Soft Matter. 2023 Jan 10. doi: 10.1039/d2sm01307j. Online ahead of print.

ABSTRACT

Contaminants and other agents are often present at the interface between two fluids, giving rise to rheological properties such as surface shear and dilatational viscosities. The dynamics of viscous drops with interfacial viscosities has attracted greater interest in recent years, due to the influence of surface rheology on deformation and the surrounding flows. We investigate the effects of shear and dilatational viscosities on the electro-deformation of a viscous drop using the Taylor-Melcher leaky dielectric model. We use a large deformation analysis to derive an ordinary differential equation for the drop shape. Our model elucidates the contributions of each force to the overall deformation of the drop and reveals a rich range of dynamic behaviors that show the effects of surface viscosities and their dependence on rheological and electrical properties of the system. We also examine the physical mechanisms underlying the observed behaviors by analyzing the surface dilatation and surface deformation.

PMID:36625263 | DOI:10.1039/d2sm01307j

Categories
Nevin Manimala Statistics

Ex vivo evaluation of a percutaneous thread-transecting technique for desmotomy of normal palmar/plantar annular ligaments in horses

Vet Surg. 2023 Jan 10. doi: 10.1111/vsu.13932. Online ahead of print.

ABSTRACT

OBJECTIVE: To develop and describe a minimally invasive, ultrasound-guided, percutaneous technique for the desmotomy of equine palmar/plantar annular ligaments (PALs) using a transecting thread.

STUDY DESIGN: Ex vivo study.

SAMPLE POPULATION: Twenty-one normal equine distal limb specimens.

METHODS: Under ultrasonographic guidance, a surgical thread was percutaneously placed around the PAL through 2 skin punctures (proximal and distal) using a 18 gauge spinal needle in equine limbs (11 forelimbs, 10 hindlimbs) with normal PALs. The ligament was transected by a back-and-forth motion of the thread until the loop emerged from the proximal skin puncture site. Each specimen was dissected and assessed for completeness of transection and iatrogenic damage under direct visualization. Descriptive statistics were reported.

RESULTS: The PAL was completely transected in 17/21 limbs. The mean duration of the procedure was 16 minutes. Superficial needle puncture or subtle abrasion of the superficial digital flexor tendon was noticed in 4 limbs. No iatrogenic injury to other intrathecal structures was identified. After PAL division, the needle entry and exit points had a mean diameter of 1.2 and 1 mm, respectively.

CONCLUSION: Desmotomy of normal PALs in equine limb specimens was performed effectively using the percutaneous thread-transecting technique with minimal iatrogenic damage to adjacent structures.

CLINICAL SIGNIFICANCE: Information from this study will allow refinement of the technique for use in equine clinical cases either in standing or anesthetized horses.

PMID:36625237 | DOI:10.1111/vsu.13932