- Browse by Subject
Browsing by Subject "Logistic models"
Now showing 1 - 4 of 4
Results Per Page
Sort Options
Item Caries risk assessment using different Cariogram models. A comparative study about concordance in different populations—Adults and children(Public Library of Science, 2022-06-24) Cagetti, Maria Grazia; Bontà, Giuliana; Lara, Juan Sebastian; Campus, Guglielmo; Cariology, Operative Dentistry and Dental Public Health, School of DentistryThis methodological survey aimed to verify whether there is concordance among several Cariogram different risk models at different thresholds, comparing both children and adult populations and how each risk/protective factor weight on the overall caries risk profile. Three groups' data (two in children and one in adults) were obtained from previous studies, while a fourth, in young adults, was ad hoc enrolled. Different caries risk levels were assessed: a) three risk categories with two different thresholds as: "low risk" = 61-100% or 81-100% chance to avoid caries, "moderate risk" = 41-60% or 21-80% and "high risk" = 0-40% or 0-20%, named model 1 and 2; b) four risk categories with two different thresholds as: "low risk" = 61-100% or 76-100%, "moderate/low risk" = 41-60% or 51-75%; "moderate/high risk" = 21-40% or 26-50% and "high risk" = 0-20% or 0-25%, model 3 and 4; c) five risk categories as: "very low risk" = 81-100%; "low risk" = 61-80% "moderate risk" = 41-60%; "high risk" = 21-40% and "very high risk" = 0-20%, model 5. Concordance of the different Cariogram risk categories among the four groups was calculated using Cohen's kappa. The weight of the association between all Cariogram models toward the Cariogram risk variables was evaluated by ordinal logistic regression models. Considering Cariogram model 1 and 2, Cohen's Kappa values ranged from 0.40 (SE = 0.07) for the young adult group to 0.71 (SE = 0.05) for the adult one. Cohen's Kappa values ranged from 0.14 (SE = 0.03 p<0.01) for the adult group to 0.62 (SE = 0.02) for the two groups of children in models 3 and 4. Statistically significant associations were found for all Cariogram risk variables excepting Fluoride program in models 4 and 5 and the overall risk on children's samples. Caries experience showed a quite variable weight in the different models in both adult groups. In the regression analyses, adult groups' convergence was not always achievable since variations in associations between caries risk and different risk variables were narrower compared to other samples. Significant differences in caries risk stratification using different thresholds stands out from data analysis; consequently, risk assessments need to be carefully considered due to the risk of misleadingly choosing preventive and research actions.Item Disparities and guideline adherence in drugs of abuse screening in intracerebral hemorrhage(American Academy of Neurology, 2017-01-17) Tormoehlen, Laura M.; Blatsioris, Ashley D.; Moser, Elizabeth A.S.; Carter, Ravan J.L.; Stevenson, Alec; Ofner, Susan; Hulin, Abigail L.; O’Neill, Darren P.; Cohen-Gadol, Aaron A.; Leipzig, Thomas J.; Williams, Linda S.; Mackey, Jason; Neurology, School of MedicineOBJECTIVE: To characterize the pattern of urine drug screening in a cohort of intracerebral hemorrhage (ICH) patients at our academic centers. METHODS: We identified cases of primary ICH occurring from 2009 to 2011 in our academic centers. Demographic data, imaging characteristics, processes of care, and short-term outcomes were ascertained. We performed logistic regression to identify predictors for screening and evaluated preguideline and postguideline reiteration screening patterns. RESULTS: We identified 610 patients with primary ICH in 2009-2011; 379 (62.1%) were initially evaluated at an outside hospital. Overall, 142/610 (23.3%) patients were screened, with 21 positive for cocaine and 3 for amphetamine. Of patients <55 years of age, only 65/140 (46.4%) were screened. Black patients <55 years of age were screened more than nonblack patients <55 years of age (38/61 [62.3%] vs 27/79 [34.2%]; p = 0.0009). In the best multivariable model, age group (p = 0.0001), black race (p = 0.4529), first Glasgow Coma Scale score (p = 0.0492), current smoking (p < 0.0001), and age group × black race (p = 0.0097) were associated with screening. Guideline reiteration in 2010 did not improve the proportion <55 years of age who were screened: 42/74 (56.8%) were screened before and 23/66 (34.9%) after (p = 0.01). CONCLUSIONS: We found disparities in drugs of abuse (DOA) screening and suboptimal guideline adherence. Systematic efforts to improve screening for DOA are warranted. Improved identification of sympathomimetic exposure may improve etiologic classification and influence decision-making and prognosis counseling.Item Global skin colour prediction from DNA(Springer Berlin Heidelberg, 2017) Walsh, Susan; Chaitanya, Lakshmi; Breslin, Krystal; Muralidharan, Charanya; Bronikowska, Agnieszka; Pospiech, Ewelina; Koller, Julia; Kovatsi, Leda; Wollstein, Andreas; Branicki, Wojciech; Liu, Fan; Kayser, Manfred; Biology, School of ScienceHuman skin colour is highly heritable and externally visible with relevance in medical, forensic, and anthropological genetics. Although eye and hair colour can already be predicted with high accuracies from small sets of carefully selected DNA markers, knowledge about the genetic predictability of skin colour is limited. Here, we investigate the skin colour predictive value of 77 single-nucleotide polymorphisms (SNPs) from 37 genetic loci previously associated with human pigmentation using 2025 individuals from 31 global populations. We identified a minimal set of 36 highly informative skin colour predictive SNPs and developed a statistical prediction model capable of skin colour prediction on a global scale. Average cross-validated prediction accuracies expressed as area under the receiver-operating characteristic curve (AUC) ± standard deviation were 0.97 ± 0.02 for Light, 0.83 ± 0.11 for Dark, and 0.96 ± 0.03 for Dark-Black. When using a 5-category, this resulted in 0.74 ± 0.05 for Very Pale, 0.72 ± 0.03 for Pale, 0.73 ± 0.03 for Intermediate, 0.87±0.1 for Dark, and 0.97 ± 0.03 for Dark-Black. A comparative analysis in 194 independent samples from 17 populations demonstrated that our model outperformed a previously proposed 10-SNP-classifier approach with AUCs rising from 0.79 to 0.82 for White, comparable at the intermediate level of 0.63 and 0.62, respectively, and a large increase from 0.64 to 0.92 for Black. Overall, this study demonstrates that the chosen DNA markers and prediction model, particularly the 5-category level; allow skin colour predictions within and between continental regions for the first time, which will serve as a valuable resource for future applications in forensic and anthropologic genetics.Item Incident and long-term opioid therapy among patients with psychiatric conditions and medications: a national study of commercial health care claims(Wolters Kluwer, 2017-01) Quinn, Patrick D.; Hur, Kwan; Chang, Zheng; Krebs, Erin E.; Bair, Matthew J.; Scott, Eric L.; Rickert, Martin E.; Gibbons, Robert D.; Kroenke, Kurt; D’Onofrio, Brian M.; Medicine, School of MedicineThere is growing evidence that opioid prescribing in the United States follows a pattern in which patients who are at the highest risk of adverse outcomes from opioids are more likely to receive long-term opioid therapy. These patients include, in particular, those with substance use disorders (SUDs) and other psychiatric conditions. This study examined health insurance claims among 10,311,961 patients who filled prescriptions for opioids. Specifically, we evaluated how opioid receipt differed among patients with and without a wide range of preexisting psychiatric and behavioral conditions (ie, opioid and nonopioid SUDs, suicide attempts or other self-injury, motor vehicle crashes, and depressive, anxiety, and sleep disorders) and psychoactive medications (ie, antidepressants, benzodiazepines, hypnotics, mood stabilizers, antipsychotics, and medications used for SUD, tobacco cessation, and attention-deficit/hyperactivity disorder). Relative to those without, patients with all assessed psychiatric conditions and medications had modestly greater odds of subsequently filling prescriptions for opioids and, in particular, substantially greater risk of long-term opioid receipt. Increases in risk for long-term opioid receipt in adjusted Cox regressions ranged from approximately 1.5-fold for prior attention-deficit/hyperactivity disorder medication prescriptions (hazard ratio [HR] = 1.53; 95% confidence interval [CI], 1.48-1.58) to approximately 3-fold for prior nonopioid SUD diagnoses (HR = 3.15; 95% CI, 3.06-3.24) and nearly 9-fold for prior opioid use disorder diagnoses (HR = 8.70; 95% CI, 8.20-9.24). In sum, we found evidence of greater opioid receipt among commercially insured patients with a breadth of psychiatric conditions. Future studies assessing behavioral outcomes associated with opioid prescribing should consider preexisting psychiatric conditions.