Nevin Manimala

Oper Dent. 2023 Feb 6. doi: 10.2341/21-173-L. Online ahead of print.

ABSTRACT

OBJECTIVE: To investigate the influence of blood and saliva contamination on the microshear bond strength (μSBS) between resin-modified glass ionomer cement (RMGIC) and resin composite (RC).

METHODS AND MATERIALS: Eighty RMGIC discs were allocated into four groups (n=20). Group 1 received universal dental adhesive application in a self-etch mode followed by a build-up with RC. Group 2 received saliva as a contaminant, Group 3 received blood as a contaminant, Group 4 received a 1:1 blood-saliva mixture as a contaminant. Specimens from Groups 2, 3, and 4 were submerged into their respective contaminants for 15 seconds and dried prior to the adhesive application, followed by the protocol for Group 1. All specimens were stored in distilled water for 24 hours. Subsequently, the bonded specimens were subjected to μSBS testing using a universal testing machine. Failure mode of the debonded RMGIC surfaces was examined using scanning electron microscopy.

RESULTS: The μSBS from groups 1-4 were 10.76 ± 3.03 MPa, 9.36 ± 2.54 MPa, 6.55 ± 1.67 MPa and 8.42 ± 2.79 MPa, respectively. Contamination by blood and blood-saliva significantly decreased the μSBS (p<0.001, p=0.029). Saliva contamination alone had no statistically significant effect on the μSBS (p=0.524). A statistically significant difference in the mode of failure was detected between the experimental groups (p=0.012).

CONCLUSION: Saliva contamination has no influence on μSBS between RMGIC and RC when it is dried thoroughly, while blood and blood-saliva contamination reduced μSBS between RMGIC and RC even when dried thoroughly.

PMID:36745507 | DOI:10.2341/21-173-L

Oper Dent. 2023 Feb 6. doi: 10.2341/21-082-L. Online ahead of print.

ABSTRACT

This study aimed to investigate the effects of 16% carbamide peroxide (CP) on the relative translucency parameter (RTP) and color stability of thermally aged CAD-CAM glass-ceramics with glazing or polishing. Three different CAD-CAM blocks-feldspathic (VM), lithium disilicate (IPS), and zirconia-reinforced lithium silicate ceramic (VS)-were used in this study. The specimens were divided into two groups (n=10) according to surface treatments (glazing or polishing). Bleaching treatment with 16% CP was applied to the thermally aged specimens. A spectrophotometer (VITA Easyshade Advance) was used to measure the CIE L*a*b*coordinates of the specimens on white and black backgrounds, and RTP and color difference (ΔE00) values were calculated. The surface topography of the specimens and the atomic weight of the elements were analyzed with scanning electron microscopy and energy-dispersive x-ray. The data were analyzed by using the two-way ANOVA test for ΔE00 values and twoway repeated measures ANOVA test for RTP and color parameters values (α=0.05) and the Tukey post-hoc test was used for multiple comparisons of the groups. RTP values were statistically influenced by material type, bleaching, and finishing technique, and the interaction among these factors was found to be significant (p<0.05). ΔE00 values were statistically influenced by material type, finishing technique, and the interaction among these factors was also found to be significant (p<0.05). IPS presented significantly lower RTP and ΔE00 values for both glazed and polished surfaces (p<0.05). 16% CP bleaching agent caused changes in translucency of aged VM and IPS at different levels. Glazed surfaces presented higher color stability in comparison to mechanically polished surfaces for VS (p<0.05).

PMID:36745505 | DOI:10.2341/21-082-L

JMIR Ment Health. 2023 Feb 6;10:e42566. doi: 10.2196/42566.

ABSTRACT

BACKGROUND: Physician burnout is a common problem, with onset frequently occurring during undergraduate education. Early intervention strategies that train medical students in psychological flexibility skills could support well-being and mitigate burnout risks associated with unmodifiable career stressors. There is a need for randomized controlled trials to assess effectiveness. As psychological flexibility varies contextually and among individuals, tailoring interventions may improve outcomes. Smartphone apps can facilitate individualization and accessibility, and the evaluation of this approach is an identified research priority.

OBJECTIVE: This study aimed to evaluate the effectiveness of a stand-alone app-delivered Acceptance and Commitment Training intervention for improving medical students’ self-reported burnout, well-being, psychological flexibility, and psychological distress outcomes. We aimed to explore whether an individualized app would demonstrate benefits over a nonindividualized version.

METHODS: This parallel randomized controlled trial was conducted with a sample of medical students from 2 Australian universities (N=143). Participants were randomly allocated to 1 of 3 intervention arms (individualized, nonindividualized, and waitlist) using a 1:1:1 allocation ratio. Individualized and nonindividualized participants were blinded to group allocation. The 5-week intervention included an introductory module (stage 1) and on-demand access to short skill training activities (stage 2), which students accessed at their own pace. Stage 2 was either nonindividualized or individualized to meet students’ identified psychological flexibility training needs.

RESULTS: The mean differences in change from baseline between the intervention groups and the waitlist group were not statistically significant for burnout outcomes: exhaustion (primary; individualized: -0.52, 95% CI -3.70 to 2.65, P=.75; nonindividualized: 1.60, 95% CI -1.84 to 5.03, P=.37), cynicism (individualized: -1.26, 95% CI -4.46 to 1.94, P=.44; nonindividualized: 1.00, 95% CI -2.45 to 4.46, P=.57), and academic efficacy (individualized: 0.94, 95% CI -0.90 to 2.79, P=.32; nonindividualized: 2.02, 95% CI 0.02-4.03, P=.05). Following the intervention, the individualized group demonstrated improved psychological flexibility (0.50, 95% CI 0.12-0.89; P=.01), reduced inflexibility (0.48, 95% CI -0.92 to -0.04; P=.04), and reduced stress (-6.89, 95% CI -12.01 to 5.99; P=.01), and the nonindividualized group demonstrated improved well-being (6.46, 95% CI 0.49-12.42; P=.04) and stress (-6.36, 95% CI -11.90 to -0.83; P=.03) compared with waitlist participants. Between-group differences for the individualized and nonindividualized arms were not statistically significant. High attrition (75/143, 52.4%) was observed.

CONCLUSIONS: This trial provides early support for the potential benefits of Acceptance and Commitment Training for medical student well-being and psychological outcomes and demonstrates that psychological flexibility and inflexibility can be trained using a smartphone app. Although postintervention burnout outcomes were not statistically significant, improvements in secondary outcomes could indicate early risk mitigation. Replication studies with larger samples and longer-term follow-up are required, and future research should focus on improving implementation frameworks to increase engagement and optimize individualization methods.

TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry 12621000911897; https://tinyurl.com/2p92cwrw.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/32992.

PMID:36745486 | DOI:10.2196/42566

JAMA Netw Open. 2023 Feb 1;6(2):e2254075. doi: 10.1001/jamanetworkopen.2022.54075.

ABSTRACT

IMPORTANCE: Large-scale data on type-specific human papillomavirus (HPV) prevalence and disease burden worldwide are needed to guide cervical cancer prevention efforts. Promoting the research and application of health care big data has become a key factor in modern medical research.

OBJECTIVE: To examine the prevaccination prevalence of high-risk HPV (hrHPV) and type distribution by cervical cytology grade in Estonia.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used text mining and the linking of data from electronic health records and health care claims to examine type-specific hrHPV positivity in Estonia from 2012 to 2019. Participants were women aged at least 18 years. Statistical analysis was performed from September 2021 to August 2022.

MAIN OUTCOMES AND MEASURES: Type-specific hrHPV positivity rate by cervical cytological grade.

RESULTS: A total of 11 017 cases of cervical cytology complemented with data on hrHPV testing results between 2012 and 2019 from 66 451 women aged at least 18 years (mean [SD] age, 48.1 [21.0] years) were included. The most common hrHPV types were HPV16, 18, 31, 33, 51 and 52, which accounted for 73.8% of all hrHPV types detected. There was a marked decline in the positivity rate of hrHPV infection with increasing age, but the proportion did not vary significantly based on HPV type. Implementation of nonavalent prophylactic vaccination was estimated to reduce the number of women with high-grade cytology by 50.5% (95% CI, 47.4%-53.6%) and the number with low-grade cytology by 27.8% (95% CI, 26.3%-29.3%), giving an overall estimated reduction of 33.1% (95% CI, 31.7%-34.5%) in the number of women with precancerous cervical cytology findings.

CONCLUSIONS AND RELEVANCE: In this cross-sectional study, text mining and natural language processing techniques allowed the detection of precursors to cervical cancer based on data stored by the nationwide health system. These findings contribute to the literature on type-specific HPV distribution by cervical cytology grade and document that α-9 phylogenetic group HPV types 16, 31, 33, 52 and α-7 phylogenetic group HPV 18 are the most frequently detected in normal-to-high-grade precancerous lesions in Estonia.

PMID:36745455 | DOI:10.1001/jamanetworkopen.2022.54075

JAMA Netw Open. 2023 Feb 1;6(2):e2254765. doi: 10.1001/jamanetworkopen.2022.54765.

ABSTRACT

IMPORTANCE: Gestational diabetes (GD) affects up to 10% of pregnancies and increases lifetime risk of type 2 diabetes 10-fold; postpartum diabetes evaluation and primary care follow-up are critical in preventing and detecting type 2 diabetes. Despite clinical guidelines recommending universal follow-up, little remains known about how often individuals with GD access primary care and type 2 diabetes screening.

OBJECTIVE: To describe patterns of primary care follow-up and diabetes-related care among individuals with and without GD in the first year post partum.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study used a private insurance claims database to compare follow-up in the first year post partum between individuals with GD, type 2 diabetes, and no diabetes diagnosis. Participants included postpartum individuals aged 15 to 51 years who delivered between 2015 and 2018 and had continuous enrollment from 180 days before to 366 days after the delivery date. Data were analyzed September through October 2021 and reanalyzed November 2022.

MAIN OUTCOMES AND MEASURES: Primary care follow-up visits and diabetes-related care (blood glucose testing and diabetes-associated visit diagnoses) were determined by evaluation and management, Current Procedural Terminology, and International Classification of Diseases, Ninth Revision and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes, respectively.

RESULTS: A total of 280 131 individuals were identified between 2015 and 2018 (mean age: 31 years; 95% CI, 27-34 years); 12 242 (4.4%) had preexisting type 2 diabetes and 18 432 (6.6%) had GD. A total of 50.9% (95% CI, 49.9%-52.0%) of individuals with GD had primary care follow-up, compared with 67.2% (95% CI, 66.2%-68.2%) of individuals with preexisting type 2 diabetes. A total of 36.2% (95% CI, 35.1%-37.4%) of individuals with GD had diabetes-related care compared with 56.9% (95% CI, 55.7%-58.0%) of individuals with preexisting diabetes. Only 36.0% (95% CI, 34.4%-37.6%) of individuals with GD connected with primary care received clinical guideline concordant care with blood glucose testing 12 weeks post partum.

CONCLUSIONS AND RELEVANCE: In this cohort study of postpartum individuals, individuals with GD had lower rates of primary care and diabetes-related care compared with those with preexisting type 2 diabetes, and only 36% of those with GD received guideline-recommended blood glucose testing in the first 12 weeks post partum. This illustrates a missed opportunity for early intervention in diabetes surveillance and prevention and demonstrates the need to develop a multidisciplinary approach for postpartum follow-up.

PMID:36745454 | DOI:10.1001/jamanetworkopen.2022.54765

JAMA Netw Open. 2023 Feb 1;6(2):e2254771. doi: 10.1001/jamanetworkopen.2022.54771.

ABSTRACT

IMPORTANCE: The impact of serial changes in alcohol consumption on dementia risk has rarely been investigated to date.

OBJECTIVE: To investigate the association of comprehensive patterns of changes in alcohol consumption with the incidence of all-cause dementia, Alzheimer disease (AD), and vascular dementia (VaD).

DESIGN, SETTING, AND PARTICIPANTS: This is a retrospective cohort study. Data were obtained from the Korean National Health Insurance Service database. Adults aged 40 years and older underwent 2 health examinations in 2009 and 2011. The cohort was assessed until December 31, 2018, and statistical analysis was performed in December 2021.

EXPOSURES: Alcohol consumption level was categorized into none (0 g per day), mild (<15 g per day), moderate (15-29.9 g per day), and heavy (≥30 g per day) drinking. On the basis of changes in alcohol consumption level from 2009 to 2011, participants were categorized into the following groups: nondrinker, quitter, reducer, sustainer, and increaser.

MAIN OUTCOMES AND MEASURES: The primary outcome was newly diagnosed AD, VaD, or other dementia.

RESULTS: Among 3 933 382 participants (mean [SD] age, 55.0 [9.6] years; 2 037 948 men [51.8%]), during a mean (SD) follow-up of 6.3 (0.7) years, there were 100 282 cases of all-cause dementia, 79 982 cases of AD, and 11 085 cases of VaD. Compared with sustained nondrinking, sustained mild (adjusted hazard ratio [aHR], 0.79; 95% CI, 0.77-0.81) and moderate (aHR, 0.83; 95% CI, 0.79-0.88) drinking were associated with a decreased risk of all-cause dementia, whereas sustained heavy drinking was associated with an increased risk of all-cause dementia (aHR, 1.08; 95% CI, 1.03-1.12). Compared with sustained levels of drinking, reducing alcohol consumption from a heavy to a moderate level (aHR, 0.92; 95% CI, 0.86-0.99) and the initiation of mild alcohol consumption (aHR, 0.93; 95% CI, 0.90-0.96) were associated with a decreased risk of all-cause dementia. Increasers and quitters exhibited an increased risk of all-cause dementia compared with sustainers. The trends in AD and VaD remained consistent.

CONCLUSIONS AND RELEVANCE: In this cohort study of a Korean population, decreased risk of dementia was associated with maintaining mild to moderate alcohol consumption, reducing alcohol consumption from a heavy to a moderate level, and the initiation of mild alcohol consumption, suggesting that the threshold of alcohol consumption for dementia risk reduction is low.

PMID:36745453 | DOI:10.1001/jamanetworkopen.2022.54771

JAMA Pediatr. 2023 Feb 6. doi: 10.1001/jamapediatrics.2022.5689. Online ahead of print.

ABSTRACT

IMPORTANCE: Infants younger than 1 year have the highest burden of pertussis morbidity and mortality. In 2011, the US introduced tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis (Tdap) vaccination during pregnancy to protect infants before vaccinations begin.

OBJECTIVE: To assess the association of maternal Tdap vaccination during pregnancy with the incidence of pertussis among infants in the US.

DESIGN, SETTING, AND PARTICIPANTS: In this ecologic study, a time-trend analysis was performed of infant pertussis cases reported through the National Notifiable Diseases Surveillance System between January 1, 2000, and December 31, 2019, in the US. Statistical analysis was performed from April 1, 2020, to October 31, 2022.

EXPOSURES: Maternal Tdap vaccination during pregnancy.

MAIN OUTCOMES AND MEASURES: Pertussis incidence rates were calculated and compared between 2 periods-the pre-maternal Tdap vaccination period (2000-2010) and the post-maternal Tdap vaccination period (2012-2019)-for 2 age groups: infants younger than 2 months (target group of maternal vaccination) and infants aged 6 months to less than 12 months (comparison group). Incidence rate differences between the 2 age groups were modeled using weighted segmented linear regression. The slope difference between the 2 periods was estimated to assess the association of maternal Tdap vaccination with pertussis incidence among infants.

RESULTS: A total of 57 460 pertussis cases were reported in infants younger than 1 year between 2000 and 2019; 19 322 cases (33.6%) were in infants younger than 2 months. During the pre-maternal Tdap vaccination period, annual pertussis incidence did not change among infants younger than 2 months (slope, 3.29 per 100 000 infants per year; P = .28) but increased slightly among infants aged 6 months to less than 12 months (slope, 2.10 per 100 000 infants per year; P = .01). There was no change in the difference in incidence between the 2 age groups (slope, 0.08 per 100 000 infants per year; P = .97) during the pre-maternal Tdap vaccination period overall. However, in the post-maternal Tdap vaccination period, incidence decreased among infants younger than 2 months (slope, -14.53 per 100 000 infants per year; P = .001) while remaining unchanged among infants aged 6 months to less than 12 months (slope, 1.42 per 100 000 infants per year; P = .29). The incidence rate difference between the 2 age groups significantly decreased during the post-maternal Tdap vaccination period (slope, -14.43 per 100 000 infants per year; P < .001). Pertussis incidence rate differences were significantly different between the pre-maternal and post-maternal Tdap vaccination periods (slope difference, -14.51 per 100 000 infants per year; P = .01).

CONCLUSIONS AND RELEVANCE: In this study, following maternal Tdap vaccine introduction, a sustained decrease in pertussis incidence was observed among infants younger than 2 months, narrowing the incidence gap with infants aged 6 months to less than 12 months. These findings suggest that maternal Tdap vaccination is associated with a reduction in pertussis burden in the target age group (<2 months) and that further increases in coverage may be associated with additional reductions in infant disease.

PMID:36745442 | DOI:10.1001/jamapediatrics.2022.5689

Transl Vis Sci Technol. 2023 Feb 1;12(2):6. doi: 10.1167/tvst.12.2.6.

ABSTRACT

PURPOSE: Artificial intelligence (AI) methods are changing all areas of research and have a variety of capabilities of analysis in ophthalmology, specifically in visual fields (VFs) to detect or predict vision loss progression. Whereas most of the AI algorithms are implemented in Python language, which offers numerous open-source functions and algorithms, the majority of algorithms in VF analysis are offered in the R language. This paper introduces PyVisualFields, a developed package to address this gap and make available VF analysis in the Python language.

METHODS: For the first version, the R libraries for VF analysis provided by vfprogression and visualFields packages are analyzed to define the overlaps and distinct functions. Then, we defined and translated this functionality into Python with the help of the wrapper library rpy2. Besides maintaining, the subsequent versions’ milestones are established, and the third version will be R-independent.

RESULTS: The developed Python package is available as open-source software via the GitHub repository and is ready to be installed from PyPI. Several Jupyter notebooks are prepared to demonstrate and describe the capabilities of the PyVisualFields package in the categories of data presentation, normalization and deviation analysis, plotting, scoring, and progression analysis.

CONCLUSIONS: We developed a Python package and demonstrated its functionality for VF analysis and facilitating ophthalmic research in VF statistical analysis, illustration, and progression prediction.

TRANSLATIONAL RELEVANCE: Using this software package, researchers working on VF analysis can more quickly create algorithms for clinical applications using cutting-edge AI techniques.

PMID:36745440 | DOI:10.1167/tvst.12.2.6

JAMA Intern Med. 2023 Feb 6. doi: 10.1001/jamainternmed.2022.6545. Online ahead of print.

ABSTRACT

IMPORTANCE: Deprescribing is a promising approach to addressing the burden of polypharmacy. Few studies have initiated comprehensive deprescribing in the hospital setting among older patients requiring ongoing care in a postacute care (PAC) facility.

OBJECTIVE: To evaluate the efficacy of a patient-centered deprescribing intervention among hospitalized older adults transitioning or being discharged to a PAC facility.

DESIGN, SETTING, AND PARTICIPANTS: This randomized clinical trial of the Shed-MEDS (Best Possible Medication History, Evaluate, Deprescribing Recommendations, and Synthesis) deprescribing intervention was conducted between March 2016 and October 2020. Patients who were admitted to an academic medical center and discharged to 1 of 22 PAC facilities affiliated with the medical center were recruited. Patients who were 50 years or older and had 5 or more prehospital medications were enrolled and randomized 1:1 to the intervention group or control group. Patients who were non-English speaking, were unhoused, were long-stay residents of nursing homes, or had less than 6 months of life expectancy were excluded. An intention-to-treat approach was used.

INTERVENTIONS: The intervention group received the Shed-MEDS intervention, which consisted of a pharmacist- or nurse practitioner-led comprehensive medication review, patient or surrogate-approved deprescribing recommendations, and deprescribing actions that were initiated in the hospital and continued throughout the PAC facility stay. The control group received usual care at the hospital and PAC facility.

MAIN OUTCOMES AND MEASURES: The primary outcome was the total medication count at hospital discharge and PAC facility discharge, with follow-up assessments during the 90-day period after PAC facility discharge. Secondary outcomes included the total number of potentially inappropriate medications at each time point, the Drug Burden Index, and adverse events.

RESULTS: A total of 372 participants (mean [SD] age, 76.2 [10.7] years; 229 females [62%]) were randomized to the intervention or control groups. Of these participants, 284 were included in the intention-to-treat analysis (142 in the intervention group and 142 in the control group). Overall, there was a statistically significant treatment effect, with patients in the intervention group taking a mean of 14% fewer medications at PAC facility discharge (mean ratio, 0.86; 95% CI, 0.80-0.93; P < .001) and 15% fewer medications at the 90-day follow-up (mean ratio, 0.85; 95% CI, 0.78-0.92; P < .001) compared with the control group. The intervention additionally reduced patient exposure to potentially inappropriate medications and Drug Burden Index. Adverse drug event rates were similar between the intervention and control groups (hazard ratio, 0.83; 95% CI, 0.52-1.30).

CONCLUSIONS AND RELEVANCE: Results of this trial showed that the Shed-MEDS patient-centered deprescribing intervention was safe and effective in reducing the total medication burden at PAC facility discharge and 90 days after discharge. Future studies are needed to examine the effect of this intervention on patient-reported and long-term clinical outcomes.

TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02979353.

PMID:36745422 | DOI:10.1001/jamainternmed.2022.6545

J Comput Biol. 2023 Feb 6. doi: 10.1089/cmb.2022.0330. Online ahead of print.

ABSTRACT

Diversification models describe the random growth of evolutionary trees, modeling the historical relationships of species through speciation and extinction events. One class of such models allows for independently changing traits, or types, of the species within the tree, upon which speciation and extinction rates depend. Although identifiability of parameters is necessary to justify parameter estimation with a model, it has not been formally established for these models, despite their adoption for inference. This work establishes generic identifiability up to label swapping for the parameters of one of the simpler forms of such a model, a multitype pure birth model of speciation, from an asymptotic distribution derived from a single tree observation as its depth goes to infinity. Crucially for applications to available data, no observation of types is needed at any internal points in the tree, nor even at the leaves.

PMID:36745414 | DOI:10.1089/cmb.2022.0330