Multivariate Linear Regression Research Articles

Microplastic presence in dog and human testis and its potential association with sperm count and weights of testis and epididymis.

The ubiquitous existence of microplastics and nanoplastics raises concerns about their potential impact on the human reproductive system. Limited data exists on microplastics within the human reproductive system and their potential consequences on sperm quality. Our objectives were to quantify and characterize the prevalence and composition of microplastics within both canine and human testes and investigate potential associations with the sperm count, and weights of testis and epididymis. Using advanced sensitive Pyrolysis-Gas Chromatography/Mass Spectrometry (Py-GC/MS), we quantified 12 types of microplastics within 47 canine and 23 human testes. Data on reproductive organ weights, and sperm count in dogs were collected. Statistical analyses, including descriptive analysis, correlational analysis, and multivariate linear regression analyses were applied to investigate the association of microplastics with reproductive functions. Our study revealed the presence of microplastics in all canine and human testes, with significant inter-individual variability. Mean total microplastic levels were 122.63 µg/g in dogs and 328.44 µg/g in humans. Both humans and canines exhibit relatively similar proportions of the major polymer types, with PE being dominant. Furthermore, a negative correlation between specific polymers such as PVC and PET and the normalized weight of the testis was observed. These findings highlight the pervasive presence of microplastics in the male reproductive system in both canine and human testes, with potential consequences on male fertility.

Study protocol of a prospective, interventional non-randomised trial investigating the impact of asthma education on specific disease understanding, health literacy and therapy outcome in childhood

IntroductionChildhood asthma is a highly prevalent chronic disease. A failure to implement patient education programmes may result in increased morbidity, despite the availability of distinct diagnostic and therapeutic approaches. Patients...

The Impact of Telehealth on Obstetrical Outcomes during the COVID-19 Pandemic.

Nationwide, obstetric clinics modified prenatal care to include telehealth visits in response to the COVID-19 pandemic, enabling the opportunity to investigate its impact on patient outcomes. We hypothesized that use of prenatal telehealth visits would increase the number of prenatal visits, decrease the frequency of urgent triage/emergency department (ED) visits, and improve perinatal outcomes. To determine the impact of telehealth on number of obstetric prenatal visits and urgent triage/ED visits amidst the COVID-19 pandemic. This is a retrospective cohort of patients from a federally qualified health center (FQHC) in central Texas. Patients with a singleton gestation who delivered after 32 weeks were included. Comparison groups were made between those patients who delivered between May 2020 to December 2020 (presumed modified prenatal visit schedule with in-person and telehealth) and those patients delivering between June 2019 to February 2020 (the traditional care model with in-person visits only). Multivariable linear and logistic regression models were used to estimate differences in the number of prenatal visits and unscheduled triage/ED visits. A total of 1654 patients were identified with 801 (48.4%) patients undergoing modified prenatal care and 853 (51.6%) patients receiving traditional care during the study period. No significant differences were seen in overall prenatal attendance or triage/ED presentations. However, when stratified by parity, multiparous patients undergoing modified prenatal care were less likely to experience an urgent triage/ED presentation (8.7% vs. 12.7%; odds ratio, 1.69; 95% confidence interval, 1.10-2.61). When compared to a traditional prenatal visitation cohort pre-pandemic, patients who received modified telehealth prenatal care during the COVID-19 pandemic had similar prenatal attendance and unscheduled emergency presentations. However, multiparous patients experienced a decreased rate of unscheduled emergency presentations. Supplementing prenatal care with telehealth may provide overall comparable prenatal care delivery.

The relationship between weight-adjusted-waist index and suicidal ideation: evidence from NHANES

BackgroundAmidst growing evidence of the intricate link between physical and mental health, this study aims to dissect the relationship between the waist-to-weight index (WWI) and suicidal ideation within a representative sample of the US population, proposing WWI as a novel metric for suicide risk assessment.MethodsThe study engaged a sample of 9500 participants in a cross-sectional design. It employed multivariate logistic and linear regression analyses to probe the association between WWI and suicidal ideation. It further examined potential nonlinear dynamics using a weighted generalized additive model alongside stratified analyses to test the relationship's consistency across diverse demographic and health variables.ResultsOur analysis revealed a significant positive correlation between increased WWI and heightened suicidal ideation, characterized by a nonlinear relationship that persisted in the adjusted model. Subgroup analysis sustained the association's uniformity across varied population segments.ConclusionsThe study elucidates WWI's effectiveness as a predictive tool for suicidal ideation, underscoring its relevance in mental health evaluations. By highlighting the predictive value of WWI, our findings advocate for the integration of body composition considerations into mental health risk assessments, thereby broadening the scope of suicide prevention strategies.

The impact of corneal higher-order aberrations on dynamic visual acuity post cataract surgery

PurposeTo explore the influence of corneal higher-order aberrations (HOAs) on dynamic visual acuity (DVA) post cataract surgery.MethodsA total of 27 patients with 45 eyes following cataract surgery were included in this study. The postoperative monocular object-moving DVA at the velocity of 20, 40, and 80 degrees per second (dps) were examined at 1 month. The total corneal HOAs were measured with Scheimpflug-based corneal topography. The correlation between postoperative DVA and HOAs was analyzed.ResultsSignificant difference was shown among DVA at different velocities (P < 0.001). The 20 dps DVA was significantly better than 40 (P < 0.001) and 80 (P < 0.001) dps DVA. No significant difference was observed between 40 and 80 dps DVA (P = 0.420). The vertical coma and the root mean square (RMS) of coma (RMScoma) were statistically correlated with 80 dps DVA (P < 0.05). The vertical trefoil, RMStrefoil and total RMSHOA were statistically correlated with 40 and 80 dps DVA (P < 0.05). The spherical aberration was not significantly associated with postoperative DVA (P > 0.05 for all velocites). The multivariate linear regression model revealed that age was a significant influential factor for 20 dps DVA (P = 0.002), and RMStrefoil (4 mm) and age were significantly associated with 40 and 80 dps DVA (P ≤ 0.01).ConclusionThe research demonstrated that larger corneal HOAs, especially coma and trefoil aberrations were significantly associated with worse high-speed DVA, but not spherical aberration post cataract surgery.

Application of Unmanned Aerial Vehicle (UAV) Sensing for Water Status Estimation in Vineyards under Different Pruning Strategies

Pruning determines the plant water status due to its effects on the leaf area and thus the irrigation management. The primary aim of this study was to assess the use of high-resolution multispectral imagery to estimate the plant water status through different bands and vegetation indexes (VIs) and to evaluate which is most suitable under different pruning management strategies. This work was carried out in 2021 and 2022 in a commercial Merlot vineyard in an arid area of central Spain. Two different pruning strategies were carried out: mechanical pruning and no pruning. The stem water potential was measured with a pressure chamber (Ψstem) at two different solar times (9 h and 12 h). Multispectral information from unmanned aerial vehicles (UAVs) was obtained at the same time as the field Ψstem measurements and different vegetation indexes (VIs) were calculated. Pruning management significantly determined the Ψstem, bunch and berry weight, number of bunches, and plant yield. Linear regression between the Ψstem and NDVI presented the tightest correlation at 12 h solar time (R2 = 0.58). The red and red-edge bands were included in a generalised multivariable linear regression and achieved higher accuracy (R2 = 0.74) in predicting the Ψstem. Using high-resolution multispectral imagery has proven useful in predicting the vine water status independently of the pruning management strategy.

Heated tobacco product marketing: a mixed-methods study examining exposure and perceptions among US and Israeli adults.

The marketing of heated tobacco products (HTPs), like IQOS, influences consumers' perceptions. This mixed-methods study analyzed (i) survey data (2021) of 2222 US and Israeli adults comparing perceptions of 7 IQOS attributes (design, technology, colors, customization, flavors, cost and maintenance) and 10 marketing messages (e.g. 'Go smoke-free…') across tobacco use subgroups and (ii) qualitative interviews (n = 84) regarding IQOS perceptions. In initial bivariate analyses, those never using HTPs (86.2%) reported the least overall appeal; those currently using HTPs (7.7%) reported the greatest appeal. Notably, almost all (94.8%) currently using HTPs also currently used cigarettes (82.0%) and/or e-cigarettes (64.0%). Thus, multivariable linear regression accounted for current cigarette/e-cigarette use subgroup and HTP use separately; compared to neither cigarette/e-cigarette use (62.8%), cigarette/no e-cigarette use (17.1%) and e-cigarette/no cigarette use (6.5%), those with dual use (13.5%) indicated greater overall IQOS appeal (per composite index score); current HTP use was not associated. Qualitative data indicated varied perceptions regarding advantages (e.g. harm, addiction and complexity) of IQOS versus cigarettes and e-cigarettes, and perceived target markets included young people, those looking for cigarette alternatives and females. Given the perceived target markets and particular appeal to dual cigarette/e-cigarette use groups, IQOS marketing and population impact warrant ongoing monitoring to inform regulation.

Bariatric Surgery: An Opportunity to Improve Quality of Life and Healthy Habits

Bariatric surgery therapy (BST) is an effective treatment for obesity; however, little is known about its impacts on health-related quality of life (HRQoL) and related factors. This study aimed to evaluate changes in HRQoL and its relationship with weight loss, depression status, physical activity (PA), and nutritional habits after BST. Data were obtained before and 18 months postprocedure from 56 obese patients who underwent BST. We administered four questionnaires: Short Form-36 health survey for HRQoL, 14-item MedDiet adherence questionnaire, Rapid Assessment of PA (RAPA) questionnaire, and Beck’s Depression Inventory-II. Multivariable linear regression analysis was used to identify factors associated with improvement in HRQoL. After the surgery, MedDiet adherence and HRQoL improved significantly, especially in the physical component. No changes in PA were found. Patients without previous depression have better mental quality of life, and patients who lost more than 25% of %TBWL have better results in physical and mental quality of life. In the multivariable analysis, we found that %TBWL and initial PCS (inversely) were related to the improvement in PCS and initial MCS (inversely) with the MCS change. In conclusion, BST is an effective intervention for obesity, resulting in significant weight loss and improvements in HRQoL and nutritional habits.

A study of baseline data from SPRINT: Exploring lipid profile changes in middle-aged and elderly patients.

The elderly population is at a higher risk of cardiovascular complications, and dyslipidemia plays a significant role as a contributing factor. Chronic kidney disease (CKD) patients are prone to lipid abnormalities, further increasing the risk of cardiovascular complications. We aimed to investigate the lipid profile characteristics of the middle-aged and elderly population, particularly CKD patients. We conducted a cross-sectional study using baseline data from the Systolic Blood Pressure Intervention Trial (SPRINT). It was examined how lipid profiles are affected by age within the general population, and how BMI and lipid characteristics are affected by CKD subtype. Among 8746 participants, we observed a decreasing trend in LnTAG (natural logarithm of Triacylglycerol) and total Cholesterol (CHR) levels with increasing age, while high-density lipoprotein cholesterol (HDL-C) levels increased with age. In the CKD and non-CKD subgroups created through propensity score matching based on age, sex, and race, CKD individuals exhibited significantly higher average LnTAG levels across all age groups compared to the non-CKD group. Multivariable linear regression analysis, controlling for confounding variables, revealed a negative correlation between LnTAG and estimated glomerular filtration rate (eGFR) (r = -0.002, p < 0.001). HDL-C showed a positive correlation with eGFR (r = 0.057, p < 0.001). That is, in the middle-aged and elderly population, age demonstrated a negative correlation with total CHR and TAG levels, while exhibiting a positive correlation with HDL-C levels. CKD patients exhibited relatively higher TAG levels, which were positively associated with CKD progression.

Social Media Insecurity and Intimate Partner Violence: Drug Use As an Escape Route

ABSTRACT The study examined social media insecurity and intimate partner violence as determinants of drug use. This prospective cohort study purposively recruited 387 married population with 54 of them re-enrolled in intervention therapy. Multilinear regressions and paired sample t-test were employed. Social media insecurity was an independent predictor of drug use; the higher the level of social media insecurity, the more participants used drugs whereas intimate partner violence did not predict drug use. The paired t-test showed a significant reduction in drug use after the eclectic therapy, which involved integrative coping skills, drug counseling/education and family therapy, aimed at reducing harms.

Beyond order-based nursing workload: A retrospective cohort study in intensive care units.

In order to be positioned to address the increasing strain of burnout and worsening nurse shortage, a better understanding of factors that contribute to nursing workload is required. This study aims to examine the difference between order-based and clinically perceived nursing workloads and to quantify factors that contribute to a higher clinically perceived workload. A retrospective cohort study was used on an observational dataset. We combined patient flow, nurse staffing and assignment, and workload intensity data and used multivariate linear regression to analyze how various shift, patient, and nurse-level factors, beyond order-based workload, affect nurses' clinically perceived workload. Among 53% of our samples, the clinically perceived workload is higher than the order-based workload. Factors associated with a higher clinically perceived workload include weekend or night shifts, shifts with a higher census, patients within the first 24 h of admission, and male patients. The order-based workload measures tended to underestimate nurses' clinically perceived workload. We identified and quantified factors that contribute to a higher clinically perceived workload, discussed the potential mechanisms as to how these factors affect the clinically perceived workload, and proposed targeted interventions to better manage nursing workload. By identifying factors associated with a high clinically perceived workload, the nurse manager can provide appropriate interventions to lighten nursing workload, which may further reduce the risk of nurse burnout and shortage.

E-cigarette dependence and cooling flavor use are linked among youth

BackgroundE-cigarette flavors that produce cooling sensations may reduce nicotine harshness and enhance appeal among youth. While previous research has shown that use of cooling flavors is associated with more frequent vaping among youth, it is unknown whether the same holds true for e-cigarette dependence. This study examines the relationship between cooling flavor use and e-cigarette dependence among youth accounting for vaping frequency. MethodsIn Fall 2022, a survey was conducted among Connecticut high school students to assess past-month nicotine e-cigarette use, ever use of cooling flavors, cooling flavor types (e.g., fruit-cooling), and e-cigarette dependence. Analyses were restricted to those with past-month nicotine and nicotine-free e-cigarette use and complete data (n=204). Multivariable linear regressions were run to examine the association between cooling flavor use and e-cigarette dependence, adjusting for demographics, e-cigarette use characteristics, and other tobacco product use. Results78.4% of the sample used cooling e-cigarette flavors, with 55.0% using mint-cooling flavors and 52.5% using fruit-cooling flavors. Regression results observed that cooling flavor use was associated with higher e-cigarette dependence (ꞵ=1.53, SE=0.63, p=0.017), with those who used cooling flavors having higher e-cigarette dependence than those who did not (M=5.78 [SD=5.33] vs. 2.84 [3.19]). ConclusionsOur results suggest that cooling flavor use is significantly associated with e-cigarette dependence among youth. While regulations often target menthol flavor, tobacco control agencies should consider restricting any flavor that can produce cooling sensations, even if they are not traditional menthol products, as cooling flavors is associated with youth e-cigarette dependence.

The association between the urinary chromium and blood pressure: a population-based study

Background and AimThe impact of trace elements and heavy metals on human health has attracted widespread attention. However, the correlation between urinary chromium concentrations and blood pressure remains unclear and inadequately reported, and the aim of this study was to investigate the relationship between urinary chromium concentrations and blood pressure in adults in the United States (US).MethodsWe utilized data from the National Health and Nutrition Examination Survey (NHANES) 2017–2018 for this study. Multivariate logistic regression and multivariate linear regression were used to explore the association of urinary chromium concentrations with hypertension and blood pressure. Additionally, we also performed subgroup analysis and restricted cubic splines (RCS).ResultsA total of 2958 participants were enrolled in this study. The overall mean systolic blood pressure and diastolic blood pressure were 123.98 ± 0.60, 72.66 ± 0.57 mmHg, respectively. The prevalence of hypertension was found in 41.31% of the whole participants. In the fully adjusted model, we did not observe a correlation between urinary chromium concentrations and the risk of hypertension and systolic blood pressure. However, we found a negative association between urinary chromium concentrations and diastolic blood pressure. In subgroup analysis, we observed a positive association between urinary chromium and the risk of hypertension among participants older than 60 years of age and those who were Non-Hispanic Black. The interaction term highlighted the influence of age and race on this positive association. We also found a negative association of urinary chromium with diastolic blood pressure in male, participants who were current smokers, overweight, and other races, as well as those without alcohol use and anti-hypertensive drug use. However, the interaction term only revealed the influence of alcohol consumption on the negative association.ConclusionOur study suggested that urinary chromium concentrations may show a negative association with diastolic blood pressure and this association was significantly dependent on alcohol consumption. Besides, a positive association between urinary chromium and the risk of hypertension was also found among participants older than 60 years of age and those who were Non-Hispanic Black.

Simultaneous Model Change Detection in Multivariate Linear Regression With Application to Indonesian Economic Growth Data

In this paper, we study asymptotic model change detection in multivariate linear regression by using the Kolmogorov–Smirnov function of the partial sum process of recursive residuals. We approximate the rejection region and also the power function of the test by establishing a functional central limit theorem for the sequence of the partial sum processes of the recursive residuals of the observations. When the assumed model is true, the limit process is given by the standard multivariate Brownian motion which does not depend on the regression functions. However, when the assumed model is not true (some models change), the limit process is represented by a vector of deterministic trend plus the standard multivariate Brownian motion. The finite sample size rejection region and the power of the test are investigated by means of Monte Carlo simulation. The simulation study shows evidence that the proposed test is consistent in the sense that it attains the power larger than the size of the test when the hypothesis is not true. We also demonstrate the application of the proposed test method to Indonesian economic growth data in which we test the adequacy of three-variate low-order polynomial model. The test result shows that the growth of the Indonesian economy is neither simultaneously constant nor linear. The test has successfully detect the appearance of a change in the model which is mainly caused by the COVID-19 pandemic in 2020.

Serum stromal cell-derived factor-1 concentrations are increased and associated with nonalcoholic fatty liver disease in children with obesity

IntroductionStromal cell-derived factor-1 (SDF-1) is a newly discovered small molecule adipocytokine, and research has shown that it is closely related to the occurrence and development of obesity. However, there are currently few research reports on SDF-1 in childhood obesity and nonalcoholic fatty liver disease (NAFLD), and this study aims to explore the relationship between SDF-1 and obesity related indicators in obese children.MethodsSerum SDF-1 concentrations were measured using enzyme-linked immunosorbent assay (ELISA). Clinical and biochemical data were collected, such as body mass index (BMI), waist and hip circumference, blood pressure, liver enzymes, cholesterol, and fasting insulin. Children with NAFLD or not were evaluated through Color Doppler Ultrasound.ResultsSerum SDF-1 concentrations were significantly higher in obese subjects than in non-obese subjects (P < 0.05), and were elevated in the NAFLD obese subjects than in the non-NAFLD obese subjects (P < 0.05). SDF-1 was positively correlated with BMI, waist-to-hip ratio, systolic blood pressure, body fat percentage (BFP), basal metabolic rate (BMR), alanine transaminase (ALT), aspartate transaminase (AST), glutyltranspeptidase (GT), and homoeostasis model of HOMA-IR, independent of their uric acid (UA), total cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), very-low-density lipoprotein (VLDL), gender and age. BFP and BMR were associated with the serum SDF-1 concentrations in multivariable linear regression analysis.ConclusionThese results suggest that SDF-1 levels are elevated in obese children and are associated with NAFLD, indicating that SDF-1 may play a role in the development of childhood obesity and metabolic disorders.

The Positive Side Effect of Anterior Cervical Decompression and Fusion on Axial Neck Pain.

Observational Cohort Study. This study aims to comprehensively assess the outcomes of anterior cervical spine surgery in patients who have undergone surgical intervention for radiculopathy or myelopathy, with a specific focus on the surgery's impact on axial neck pain. Data from an institutional spine surgery registry were analyzed for patients who underwent anterior cervical spine surgery between January 2016 and March 2022. Patient demographics, clinical variables, and outcome measures, including the Neck Disability Index (NDI), numeric rating scales for neck and arm pain (NRS-Neck and NRS-Arm), and 36-Item Short Form Health Survey (SF-36) scores, were collected. Statistical analysis included paired t-tests, chi-squared tests, and multivariate linear regression. Of 257 patients, 156 met the inclusion criteria. Patients showed significant improvement in NDI, NRS-Neck, NRS-Arm, SF-36 (Physical and Mental components), and all changes exceeded the minimum clinically important difference. Multivariate regression revealed that lower preoperative physical and mental component scores and higher preoperative NRS-Neck predicted worse NDI scores at follow-up. This study underscores that anterior cervical fusion not only effectively alleviates arm pain and disability but also has a positive impact on axial neck pain, which may not be the primary target of surgery. Our findings emphasize the potential benefits of surgical intervention when neck pain coexists with neurologic compression. This contribution adds to the growing body of evidence emphasizing the importance of precise diagnosis and patient selection. Future research, ideally focusing on patients with isolated neck pain, should further explore alternative surgical approaches to enhance treatment options.

Impact of exposures to Heated Tobacco Products in the media and through social connections on product perceptions and use.

Little is known about media exposures to heated tobacco products (HTPs). In this study, we examined sources of HTP exposure, including from paid and unpaid media and social connections, in relation to HTP use and use intentions. In the fall of 2021, we conducted a cross-sectional survey among adult online panelists (aged 18-45 years) in the US and Israel, oversampling tobacco users. The current study analyzed data from participants who responded to the question about HTP awareness or use (n=2061). Multivariable linear and logistic regression analyses examined the relationship between sources of HTP exposure, HTP use, and use intentions. Among those aware of HTPs, both Israelis and Americans reported past-month HTP media exposure via advertisements (58.2% vs 48.0%), non-advertisement sources (49.7% vs 30.7%), and social connections (51.5% vs 33.6%), respectively. Factors associated with HTP awareness (n=677/2061; 32.9%) included media use frequency (AOR=1.13; 95% CI: 1.01-1.28) and social connections using HTPs (AOR=2.45; 95% CI: 1.92-3.15). Among those aware of HTPs, past-month HTP exposure via digital media advertisements (AOR=2.06; 95% CI: 1.09-3.91) and non-advertising promotion via radio, podcast, movie, television or theatre (AOR=2.30; 95% CI: 1.19-4.44) and websites (AOR=2.36; 95% CI: 1.32-4.21) were associated with current HTP use. Exposure to digital media advertisements (β=0.35; 95% CI: 0.07-0.62) and non-advertising promotion via social media (β=0.62; 95% CI: 0.34-0.91) were correlated with higher use intentions. Having social connections using HTPs was correlated with higher use (AOR=2.21; 95% CI: 1.19-4.11) and intentions (β=0.66; 95% CI: 0.42-0.91). No significant differences were found across countries. Digital media (e.g. online, social media) were particularly salient correlates of HTP intentions and use. Future studies are needed that further examine media exposures to these products, as well as that examine possible regulations to limit HTP promotion via these channels.

Does artificial intelligence predict orthognathic surgical outcomes better than conventional linear regression methods?

ABSTRACT Objectives To evaluate the performance of an artificial intelligence (AI) model in predicting orthognathic surgical outcomes compared to conventional prediction methods. Materials and Methods Preoperative and posttreatment lateral cephalograms from 705 patients who underwent combined surgical-orthodontic treatment were collected. Predictors included 254 input variables, including preoperative skeletal and soft-tissue characteristics, as well as the extent of orthognathic surgical repositioning. Outcomes were 64 Cartesian coordinate variables of 32 soft-tissue landmarks after surgery. Conventional prediction models were built applying two linear regression methods: multivariate multiple linear regression (MLR) and multivariate partial least squares algorithm (PLS). The AI-based prediction model was based on the TabNet deep neural network. The prediction accuracy was compared, and the influencing factors were analyzed. Results In general, MLR demonstrated the poorest predictive performance. Among 32 soft-tissue landmarks, PLS showed more accurate prediction results in 16 soft-tissue landmarks above the upper lip, whereas AI outperformed in six landmarks located in the lower border of the mandible and neck area. The remaining 10 landmarks presented no significant difference between AI and PLS prediction models. Conclusions AI predictions did not always outperform conventional methods. A combination of both methods may be more effective in predicting orthognathic surgical outcomes.

Orthodontic treatment outcome predictive performance differences between artificial intelligence and conventional methods

ABSTRACT Objectives To evaluate an artificial intelligence (AI) model in predicting soft tissue and alveolar bone changes following orthodontic treatment and compare the predictive performance of the AI model with conventional prediction models. Materials and Methods A total of 1774 lateral cephalograms of 887 adult patients who had undergone orthodontic treatment were collected. Patients who had orthognathic surgery were excluded. On each cephalogram, 78 landmarks were detected using PIPNet-based AI. Prediction models consisted of 132 predictor variables and 88 outcome variables. Predictor variables were demographics (age, sex), clinical (treatment time, premolar extraction), and Cartesian coordinates of the 64 anatomic landmarks. Outcome variables were Cartesian coordinates of the 22 soft tissue and 22 hard tissue landmarks after orthodontic treatment. The AI prediction model was based on the TabNet deep neural network. Two conventional statistical methods, multivariate multiple linear regression (MMLR) and partial least squares regression (PLSR), were each implemented for comparison. Prediction accuracy among the methods was compared. Results Overall, MMLR demonstrated the most accurate results, while AI was least accurate. AI showed superior predictions in only 5 of the 44 anatomic landmarks, all of which were soft tissue landmarks inferior to menton to the terminal point of the neck. Conclusions When predicting changes following orthodontic treatment, AI was not as effective as conventional statistical methods. However, AI had an outstanding advantage in predicting soft tissue landmarks with substantial variability. Overall, results may indicate the need for a hybrid prediction model that combines conventional and AI methods.

Shared decision-making in psoriasis care: Evaluation of how patients' perception of clinicians' delivery of care changes by age and sex.

Shared decision-making (SDM) refers to a collaborative process in which clinicians assist patients in making medically informed, evidence-based decisions that align with their values and preferences. There is a paucity of literature on SDM in dermatology. We aim to assess whether male and female psoriasis patients evaluate their clinicians' engagement in SDM differently across different age groups. Cross-sectional study using data from the 2014-2017 and 2019 Medical Expenditure Panel Surveys (MEPS). A weighted total of 7,795,608 psoriasis patients were identified. SDM Scores ranged from 1 to 4, with 4 representing the most favorable patient evaluation of their clinicians' engagement in SDM. We conducted multivariate linear regression to compare mean SDM Scores in male psoriasis patients versus female psoriasis patients across different patient age groups. Female patients ages 60-69 perceived significantly greater clinician engagement in SDM compared to age-matched male patients (female patient perception of SDM 3.65 [95%CI:3.61-3.69] vs. male patient perception of SDM 3.50 [95%CI:3.43-3.58], p<0.005). The same trend of older female patients evaluating their clinicians' engagement in SDM significantly higher than their age-matched male counterparts exists for the age group >70 (p<0.005). No significant differences between male and female patients' evaluations of their clinicians' engagement in SDM were demonstrated in subjects younger than 60. All calculations were adjusted for demographic and clinical factors. Compared to older male psoriasis patients, older female psoriasis patients evaluated their clinicians to be more engaged in shared decision-making.