Animal Models Relevant for Geroscience: Current Trends and Future Perspectives in Biomarkers, and Measures of Biological Aging.

For centuries, aging was considered inevitable and immutable. Geroscience provides the conceptual framework to shift this focus toward a new view that regards aging as an active biological process, and the biological age of an individual as a modifiable entity. Significant steps forward have been made toward the identification of biomarkers for and measures of biological age, yet knowledge gaps in geroscience are still numerous. Animal models of aging are the focus of this perspective, which discusses how experimental design can be optimized to inform and refine the development of translationally relevant measures and biomarkers of biological age. We provide recommendations to the field, including: the design of longitudinal studies in which subjects are deeply phenotyped via repeated multilevel behavioral/social/molecular assays; the need to consider sociobehavioral variables relevant for the species studied; and finally, the importance of assessing age of onset, severity of pathologies, and age-at-death. We highlight approaches to integrate biomarkers and measures of functional impairment using machine learning approaches designed to estimate biological age as well as to predict future health declines and mortality. We expect that advances in animal models of aging will be crucial for the future of translational geroscience but also for the next chapter of medicine.

A New Era in Perforator Flap Surgery for Breast Reconstruction: A Comparative Study of Robotic versus Standard Harvest of Bilateral Deep Inferior Epigastric Artery Perforator Flaps.

BACKGROUND: Traditional deep inferior epigastric artery perforator (DIEP) flap harvest splits the anterior sheath, weakening the abdominal wall and predisposing patients to bulge or hernia. Abdominal wall morbidity may be decreased using minimally invasive techniques. We refined a transabdominal approach to the robotic harvest of bilateral DIEP flaps. METHODS: A retrospective medical record study involving all patients who underwent bilateral or bipedicled robotic DIEP (rDIEP) or standard DIEP (sDIEP) flap harvest between July 2021 and September 2022. Outcomes included abdominal wall morbidity, total operative time, length of stay (LOS), and complications. RESULTS: Forty-seven patients were included (48 sDIEP flaps, 46 rDIEP flaps) with no significant difference in patient characteristics. Fascial incision length in the rDIEP group was shorter (4.1 vs. 11.7 cm, p < 0.001). Mesh reinforcement of the abdominal wall was used in 13/24 sDIEP and none in rDIEP patients (p < 0.001). Operative time was longer in the rDIEP cohort (739 vs. 630 minutes, p = 0.013), although subanalysis showed no difference in the second half of the cohort. The average robotic dissection time was 135 minutes, which decreased significantly with the surgeon's experience. There were no intraoperative complications from using the robot. LOS was shorter with rDIEP but not statistically significant (3.9 vs. 4.3 days, p = 0.157). CONCLUSION: This study represents the most extensive cohort analysis of bilateral rDIEP flap harvest, offering a comprehensive comparison to traditional sDIEP. The initial results underscore the viability of robotic techniques for flap harvesting, highlighting potential advantages including reduced fascial incision length and decreased abdominal disruption. Furthermore, using robotics may obviate the necessity for fascial reinforcement with mesh.

Advanced Multi-Layer Watertight Closure versus Conventional Closure in Total Hip and Knee Replacement Surgery.

Background: In total joint replacement procedures, surgeons have increasingly adopted advanced multi-layer, watertight closure. The objective of the study was to compare the clinical and economic outcomes for advanced multi-layer, watertight closure patients to those with conventional closure with sutures and skin staples. Methods: Patients aged ≥18 years were included in the study if they underwent total joint arthroplasty of the hip or knee as an elective, primary, inpatient procedure between January 2014 and March 2019. Cohorts having advanced multi-layer, watertight closure or conventional closure were compared using multivariable regression analysis of surgical site infections, length of stay, operating room time, procedure time, discharge status, readmissions, reoperations, and hospital emergency department visits. Results: A total of 1828 patients received at least one total hip or knee replacement, of which 434 (23.7%) had advanced multi-layer, watertight closure and 1394 (76.3%) had conventional closure. Unadjusted time to readmission, when occurring, was considerably longer following advanced multi-layer, watertight closure (89.9 vs 51.1 days, p < 0.0001), and a lower proportion of the advanced multi-layer, watertight closure cohort required reoperation within 90 days (0.0% vs 2.6%, p < 0.0001). Adjusted mean hospital length of stay was approximately half of a day shorter for advanced multi-layer, watertight closure patients (1.10 vs 1.65 days; p < 0.001), and they were also more likely to be discharged to home (Odds Ratio: 4.61; p = 0.002). Conclusion: Among patients undergoing total hip and knee arthroplasty in a highly optimized real-world clinical practice, advanced multi-layer, watertight closure was associated with significantly shorter inpatient length of stay and increased likelihood of being discharged to home compared with conventional closure. These findings suggest that advanced multi-layer, watertight closure is a valuable component of an optimal workflow for total hip or knee replacement, and may be especially valuable for high-risk patients.

Multi-Modal Diagnosis of Alzheimer's Disease using Interpretable Graph Convolutional Networks.

The interconnection between brain regions in neurological disease encodes vital information for the advancement of biomarkers and diagnostics. Although graph convolutional networks are widely applied for discovering brain connection patterns that point to disease conditions, the potential of connection patterns that arise from multiple imaging modalities has yet to be fully realized. In this paper, we propose a multi-modal sparse interpretable GCN framework (SGCN) for the detection of Alzheimer's disease (AD) and its prodromal stage, known as mild cognitive impairment (MCI). In our experimentation, SGCN learned the sparse regional importance probability to find signature regions of interest (ROIs), and the connective importance probability to reveal disease-specific brain network connections. We evaluated SGCN on the Alzheimer's Disease Neuroimaging Initiative database with multi-modal brain images and demonstrated that the ROI features learned by SGCN were effective for enhancing AD status identification. The identified abnormalities were significantly correlated with AD-related clinical symptoms. We further interpreted the identified brain dysfunctions at the level of large-scale neural systems and sex-related connectivity abnormalities in AD/MCI. The salient ROIs and the prominent brain connectivity abnormalities interpreted by SGCN are considerably important for developing novel biomarkers. These findings contribute to a better understanding of the network-based disorder via multi-modal diagnosis and offer the potential for precision diagnostics. The source code is available at https://github.com/Houliang-Zhou/SGCN.

mLiftOver: harmonizing data across Infinium DNA methylation platforms.

MOTIVATION: Infinium DNA methylation BeadChips are widely used for genome-wide DNA methylation profiling at the population scale. Recent updates to probe content and naming conventions in the EPIC version 2 (EPICv2) arrays have complicated integrating new data with previous Infinium array platforms, such as the MethylationEPIC (EPIC) and the HumanMethylation450 (HM450) BeadChip. RESULTS: We present mLiftOver, a user-friendly tool that harmonizes probe ID, methylation level, and signal intensity data across different Infinium platforms. It manages probe replicates, missing data imputation, and platform-specific bias for accurate data conversion. We validated the tool by applying HM450-based cancer classifiers to EPICv2 cancer data, achieving high accuracy. Additionally, we successfully integrated EPICv2 healthy tissue data with legacy HM450 data for tissue identity analysis and produced consistent copy number profiles in cancer cells. AVAILABILITY AND IMPLEMENTATION: mLiftOver is implemented R and available in the Bioconductor package SeSAMe (version 1.21.13+): https://bioconductor.org/packages/release/bioc/html/sesame.html. Analysis of EPIC and EPICv2 platform-specific bias and high-confidence mapping is available at https://github.com/zhou-lab/InfiniumAnnotationV1/raw/main/Anno/EPICv2/EPICv2ToEPIC_conversion.tsv.gz. The source code is available at https://github.com/zwdzwd/sesame/blob/devel/R/mLiftOver.R under the MIT license.

Split face randomized, evaluator blinded study on the effect of multiple subcisions on rolling acne scars.

Acne scarring results from a common inflammatory condition present in many people. These scars can have an impact on quality of life by influencing self-esteem and social acceptance. Current acne scarring treatments, such as chemical peels and laser treatments, often have limited success due to their time-consuming nature and the variability of acne scar types. The subcision technique has shown promise for the treatment of rolling acne scars. There are few studies to date that examine the effects of multiple subcision treatments on rolling acne scars. We evaluated whether the use of multiple subcision treatments improved the appearance of rolling acne scars compared to no treatment. Five patients with rolling acne scars on both sides of their face who met inclusion and exclusion criteria were enrolled in the study. One side of the face was randomized to receive treatment, while the contralateral side of the face received no treatment. Subjects underwent five sequential subcision treatments, spaced 4 weeks apart, with two follow-up visits at weeks 20 and 36 from the 1st treatment. Photographs were taken before and after the initial treatment visit and at each subsequent visit. Acne scar appearance was evaluated by the subject, a blinded live rater, and two double-blinded dermatologist raters. Evaluations of treatment outcomes involved overall acne scar appearance on a 5-point scale, acne scar improvement on a percentage scale, a modified quantitative global scarring grading system, and potential treatment side effects. There was a greater decrease in global scarring scores in the multiple subcision side compared to the control side. There was a greater difference in the average acne scar appearance scores between the Week 36 follow-up visit and baseline for the multiple subcision side compared to that of the control side. 50% of patients reported being more satisfied with the treatment side compared to the control side in regard to overall improvement. The study results suggest that multiple subcision treatments may improve the appearance of rolling acne scars compared to no treatment.

Proteome-wide association study using cis and trans variants and applied to blood cell and lipid-related traits in the Women's Health Initiative study.

In most Proteome-Wide Association Studies (PWAS), variants near the protein-coding gene (±1 Mb), also known as cis single nucleotide polymorphisms (SNPs), are used to predict protein levels, which are then tested for association with phenotypes. However, proteins can be regulated through variants outside of the cis region. An intermediate GWAS step to identify protein quantitative trait loci (pQTL) allows for the inclusion of trans SNPs outside the cis region in protein-level prediction models. Here, we assess the prediction of 540 proteins in 1002 individuals from the Women's Health Initiative (WHI), split equally into a GWAS set, an elastic net training set, and a testing set. We compared the testing r2 between measured and predicted protein levels using this proposed approach, to the testing r2 using only cis SNPs. The two methods usually resulted in similar testing r2, but some proteins showed a significant increase in testing r2 with our method. For example, for cartilage acidic protein 1, the testing r2 increased from 0.101 to 0.351. We also demonstrate reproducible findings for predicted protein association with lipid and blood cell traits in WHI participants without proteomics data and in UK Biobank utilizing our PWAS weights.

EndoPRS: Incorporating Endophenotype Information to Improve Polygenic Risk Scores for Clinical Endpoints.

Polygenic risk score (PRS) prediction of complex diseases can be improved by leveraging related phenotypes. This has motivated the development of several multi-trait PRS methods that jointly model information from genetically correlated traits. However, these methods do not account for vertical pleiotropy between traits, in which one trait acts as a mediator for another. Here, we introduce endoPRS, a weighted lasso model that incorporates information from relevant endophenotypes to improve disease risk prediction without making assumptions about the genetic architecture underlying the endophenotype-disease relationship. Through extensive simulation analysis, we demonstrate the robustness of endoPRS in a variety of complex genetic frameworks. We also apply endoPRS to predict the risk of childhood onset asthma in UK Biobank by leveraging a paired GWAS of eosinophil count, a relevant endophenotype. We find that endoPRS significantly improves prediction compared to many existing PRS methods, including multi-trait PRS methods, MTAG and wMT-BLUP, which suggests advantages of endoPRS in real-life clinical settings.

Best Practices in Documenting and Coding High-Value Care in Workers' Compensation Encounters-ACOEM Guidance Statement.

ABSTRACT: Workers' compensation outpatient care requires attention to causation, functional assessment, work disability prevention, and return-to-work planning, elements not usually addressed in other types of outpatient encounters. Because these elements of care deviate from the usual pattern of ambulatory services, providers of workers' compensation care have faced challenges in billing and auditing practices resulting in underpayment when providing high-value care based on evidence-based guidelines. Recent changes in Centers for Medicare & Medicaid Services rules on documentation requirements for coding outpatient evaluation and management encounters offer an opportunity for occupational health clinicians to be paid appropriately for care that follows occupational medicine practice guidelines. There remains a need to define the elements of documentation that should be expected in delivering high-value workers' compensation care. This article provides guidance for documenting high-value workers' compensation care.

Racial and Ethnic Disparities in Postpartum Depressive Symptoms Before and During the COVID-19 Pandemic.

Background: Existing evidence regarding the impact of the COVID-19 pandemic on postpartum mental health is mixed, with disparate studies showing increased, stable, or even reduced risk of postpartum depression (PPD) amid the pandemic. Furthermore, although it is plausible that the pandemic impacted the mental health of mothers from vulnerable and underserved communities differentially, few studies have characterized racial and ethnic differences in the impact of the COVID-19 pandemic on PPD. Materials and Methods: Pregnancy Risk Assessment Monitoring System data for 2018-2019 (pre-pandemic period) and 2020 (peri-pandemic period) from 40 sites (n = 110,779, representing 5,485,137 postpartum women) were used to determine whether rates of PPD changed during the first year of the pandemic. Postpartum depressive symptoms were assessed using the Patient Health Questionnaire 2-item. Average marginal effects and contrasts of predictive margins derived from a multivariable logistic regression model were used to compare the risk of PPD before and during the pandemic in the overall sample and across racial/ethnic subgroups. Results: Adjusting for sociodemographic and clinical characteristics, we found that the overall risk for PPD remained stable (0.0 percentage points [pp]; 95% confidence interval [CI]: -0.7, 0.6 pp) in the first year of the pandemic. We detected no statistically significant changes in risk for PPD across seven of eight racial/ethnic groups considered; however, the risk of PPD among non-Hispanic Black women fell by 2.0 pp (95% CI: -3.5, -0.4 pp) relative to the pre-pandemic period. Conclusion: We identified important subgroup differences in pandemic-related changes in risk for PPD.

An Innovative Design to Enhance Osteoinductive Efficacy and Biomechanical Behavior of a Titanium Dental Implant.

The present study investigated the in vivo bone-forming efficacy of an innovative titanium (Ti) dental implant combined with a collagen sponge containing recombinant human bone morphogenetic protein-2 (BMP-2) in a pig model. Two different concentrations of BMP-2 (20 and 40 µg/mL) were incorporated into collagen sponges and placed at the bottom of Ti dental implants. The investigated implants were inserted into the edentulous ridge at the canine-premolar regions of Lanyu small-ear pigs, which were then euthanized at weeks 1, 2, 4, 8, and 12 post-implantation. Specimens containing the implants and surrounding bone tissue were collected for histological evaluation of their bone-to-implant contact (BIC) ratios and calculation of maximum torques using removal torque measurement. Analytical results showed that the control and BMP-2-loaded implants presented good implant stability and bone healing for all testing durations. After 1 week of healing, the BMP-2-loaded implants with a concentration of 20 µg/mL exhibited the highest BIC ratios, ranging from 58% to 76%, among all groups (p = 0.034). Additionally, they also possessed the highest removal torque values (50.1 ± 1.3 N-cm) throughout the 8-week healing period. The BMP-2-loaded implants not only displayed excellent in vivo biocompatibility but also presented superior osteoinductive performance. Therefore, these findings demonstrate that BMP-2 delivered through a collagen sponge can potentially enhance the early-stage osseointegration of Ti dental implants.

Safety and efficacy of liposomal irinotecan as the second-line treatment for advanced pancreatic cancer: A systematic review and meta-analysis.

INTRODUCTION: Nanoliposomal irinotecan (nal-IRI) is a novel regimen for pancreatic cancer, featuring a longer half-life and an increased area under the concentration-time curve. This study aims to assess the safety and efficacy of nal-IRI as a second-line treatment for advanced pancreatic cancer. METHODS: A systemic literature search was conducted based on articles published before September 26th, 2023 in databases, including PubMed, Cochrane Library, EMBASE and Web of Science. The fixed effects model was used to calculate the pooled mean difference for overall survival (OS) and progression-free survival (PFS), as well as the pooled odds ratio for the overall response rate (ORR) and the risk of adverse events. RESULTS: A total of 21 studies, including 3044 patients with locally advanced unresectable or metastatic pancreatic cancers, were considered eligible. The use of nal-IRI, combined with 5-fluorouracil and leucovorin, resulted in significantly improved PFS (pooled mean difference=1.01 months, 95 % confidence interval [CI]=0.97-1.05, p<0.01) and OS (pooled mean difference=0.29 months, 95 %CI=0.18-0.39, p<0.01), as well as significantly better ORR (pooled odds ratio=2.06, 95 %CI=1.30-3.27, p=0.002) compared to other second-line regimens. Nonetheless, an increased risk of grade 3 or greater neutropenia, anemia, hypokalemia, diarrhea, and vomiting was also noted. CONCLUSION: Second-line treatments based on nal-IRI exhibited significantly improved PFS, OS, and ORR compared to other available treatments in advanced pancreatic cancer. Further research is necessary to corroborate these findings and define the role of nal-IRI in both first and later lines of therapy.

Postoperative neurocognitive disorders in ambulatory surgery: a narrative review.

Postoperative neurocognitive disorders (PoNCDs), such as postoperative delirium and cognitive dysfunction or decline can occur after surgery, especially in older patients. This significantly affects patient morbidity and surgical outcomes. Among various risk factors, recent studies have shown that preoperative frailty is associated with developing these conditions. Although the mechanisms underlying PoNCDs remain unclear, neuroinflammation appears to play an important role in their development. For the prevention and treatment of PoNCDs, medication modification, a balanced diet, and prehabilitation and rehabilitation programs have been suggested. The risk of developing PoNCDs is thought to be lower in ambulatory patients. However, owing to technological advancements, an increasing number of older and sicker patients are undergoing more complex surgeries and are often not closely monitored after discharge. Therefore, equal attention should be paid to all patient populations. This article presents an overview of PoNCDs and highlights issues of particular interest for ambulatory surgery.

Assessing the properties of patient-specific treatment effect estimates from causal forest algorithms under essential heterogeneity.

BACKGROUND: Treatment variation from observational data has been used to estimate patient-specific treatment effects. Causal Forest Algorithms (CFAs) developed for this task have unknown properties when treatment effect heterogeneity from unmeasured patient factors influences treatment choice - essential heterogeneity. METHODS: We simulated eleven populations with identical treatment effect distributions based on patient factors. The populations varied in the extent that treatment effect heterogeneity influenced treatment choice. We used the generalized random forest application (CFA-GRF) to estimate patient-specific treatment effects for each population. Average differences between true and estimated effects for patient subsets were evaluated. RESULTS: CFA-GRF performed well across the population when treatment effect heterogeneity did not influence treatment choice. Under essential heterogeneity, however, CFA-GRF yielded treatment effect estimates that reflected true treatment effects only for treated patients and were on average greater than true treatment effects for untreated patients. CONCLUSIONS: Patient-specific estimates produced by CFAs are sensitive to why patients in real-world practice make different treatment choices. Researchers using CFAs should develop conceptual frameworks of treatment choice prior to estimation to guide estimate interpretation ex post.

Validation of biomarkers of aging.

The search for biomarkers that quantify biological aging (particularly 'omic'-based biomarkers) has intensified in recent years. Such biomarkers could predict aging-related outcomes and could serve as surrogate endpoints for the evaluation of interventions promoting healthy aging and longevity. However, no consensus exists on how biomarkers of aging should be validated before their translation to the clinic. Here, we review current efforts to evaluate the predictive validity of omic biomarkers of aging in population studies, discuss challenges in comparability and generalizability and provide recommendations to facilitate future validation of biomarkers of aging. Finally, we discuss how systematic validation can accelerate clinical translation of biomarkers of aging and their use in gerotherapeutic clinical trials.

Use of interrupted time-series analyses in evaluating health economic outcomes following implementation of multilayer water-tight wound closure in a primary total joint arthroplasty population.

Aim: Total joint arthroplasty (TJA) with multi-layer, watertight closure (MLWC) using knotless barbed suture and 2-octyl cyanoacrylate plus polymer mesh tape was compared with conventional closure (CC) using Vicryl™ sutures and staples. Patients & methods: Electronic medical records of patients undergoing TJA (1574: total knee arthroplasty; 580: total hip arthroplasty; 13: unknown) from a single surgeon at a US hospital (CC 2011 to 2013; MLWC 2015 to 2020) were reviewed. Outcomes were length of stay (LOS), discharge to skilled nursing facility (SNF), 90-day surgical site infection (SSI) and 90-day readmission. Logistic regression controlled for baseline characteristics. Adjusted interrupted time series (ITS) analyses accounted for decreasing trends in LOS and SNF discharge over time. Results: Among 2167 TJA cases (mean [standard deviation] age 66.0 [9.7] years, 53.3% female), 906 received CC and 1261 received MLWC. Bivariate analysis showed no statistically significant differences in 90-day SSI rates; however, MLWC patients had 60% lower 90-day readmission rates (1.5 vs 3.8%, p < 0.05), 44% lower LOS (1.4 vs 2.5 days, p < 0.05) and 40% lower discharge rates to a skilled care facility (8.5 vs 14.1%, p < 0.05). Multivariable analyses showed CC patients were 2.45-times more likely to be readmitted within 90 days, 1.88-times more likely to be discharged to SNF and had 1.67-times longer LOS compared with MLWC. ITS analyses showed a sharp decline in LOS (0.9 days) and discharge to SNF (5.6% incidence) after implementation of MLWC, followed by no further changes for the remainder of the study period. Conclusion: MLWC was associated with ≥40% reduction in 90-day readmission, LOS and SNF discharge compared with TJA CC. LOS and discharge rate to SNF declined sharply after the implementation of MLWC.

The impact of sodium-glucose cotransporter-2 inhibitors on outcome of patients with diabetes mellitus and colorectal cancer.

BACKGROUND AND AIM: Patients with type 2 diabetes mellitus (T2DM) have a higher risk of colorectal cancer (CRC), and those with diagnosed CRC have a poorer prognosis compared with individuals with normal glucose levels. The inhibition of sodium-glucose cotransporter 2 (SGLT2) channels has been associated with a reduction in tumor proliferation in preclinical studies. We aimed to investigate the impact of sodium-glucose cotransporter 2 inhibitors (SGLT2i) on the outcome of T2DM patients with colorectal cancer. METHODS: We performed a retrospective cohort study comprising adult patients with T2DM and colorectal adenocarcinoma. SGLT2i recipients were matched to non-SGLT2i recipients in a 1:1 ratio based on age, sex, and cancer stage. The primary outcome was overall survival (OS) and progression-free survival (PFS), and the secondary outcomes were previously reported serious adverse events associated with SGLT2i. RESULTS: We identified 1347 patients with T2DM and colorectal adenocarcinoma, from which 92 patients in the SGLT2i cohort were matched to the non-SGLT2i cohort. Compared to non-SGLT2i recipients, SGLT2i recipients had a higher rate of 5-year OS (86.2% [95% CI: 72.0-93.5] vs 62.3% [95% CI: 50.9-71.8], P = 0.013) and 5-year PFS (76.6% [95% CI: 60.7-86.7] vs 57.0% [95% CI: 46.2-66.4], P = 0.021). In Cox proportional hazard analyses, SGLT2i were associated with a 50-70% reduction in all-cause mortality and disease progression. SGLT2i were not associated with an increased risk of serious adverse events. CONCLUSION: SGLT2i were associated with a higher rate of survival in T2DM patients with colorectal cancer.

Evaluating the Impact of CenteringPregnancy Program Versus Individual Prenatal Care on Gestational Weight Gain.

Introduction: The CenteringPregnancy (CP) program-proven to reduce preterm births-was modified to achieve more optimal gestational weight gain (GWG) by an intentional incorporation of nutrition education. We compared the effect of the modified CP program versus individual prenatal care (IPNC) on GWG. Methods: This observational study used linked birth certificate data and hospital discharge records of women who received prenatal care (PNC) in South Carolina Midlands' obstetric clinics between 2015 and 2019. Linear and multinomial logistic regressions were used to compare participants in CP (n = 568) versus IPNC on weight gain, measured by total GWG (delivery weight minus prepregnancy weight), weekly rate of weight gain, and meeting the Institute of Medicine's recommendations (inadequate, adequate, and excessive GWG). Nonrandom assignment to program was controlled by propensity scoring. Results: CP participants differed from IPNC participants in race, nulliparous, education, and type of health insurance, but not in parity or month PNC began (p-Value <0.05). CP and IPNC participants had a similar GWG experience: total GWG (coef(ß) = -0.054; 95% confidence interval [CI] -0.78 to 0.6), total weekly weight gain (coef(ß) = -0.004; 95% CI -0.03 to 0.03), total GWG category (inadequate GWG: RRR = 0.85, 95% CI 0.64-1.21, and excessive GWG: relative risk ratio (RRR) = 0.92, 95% CI 0.71-1.20 vs. adequate), and weekly weight gain category (inadequate GWG: RRR = 0.73, 95% CI 0.53-1.01, and excessive GWG: RRR = 0.83, 95% CI 0.61-1.13 vs. adequate). Conclusion: The CP program with an enhanced nutritional knowledge component was not associated with achieving recommended GWG. Further investigation is needed to explain the lack of impact.

Smoking Dependence, Time-Discounting, and Sustained Cessation Behavior: A Longitudinal Study of Predominantly Light Smokers.

INTRODUCTION: This study aimed to assess whether two established psychosocial predictors of smoking abstinence, nicotine dependence and time-discounting, also apply to a population of predominantly cigarette light smokers, which is the dominant pattern of smoking in countries like Mexico. Relatively infrequent smoking is increasingly prevalent, yet still harmful, making it important to understand the predictors of cessation in this population. AIMS AND METHODS: Mexican adult smokers recruited from an online consumer panel were surveyed every 4 months between November 2018 and July 2020. We considered respondents who reported a quit attempt in between surveys (n = 1288). Dependence was measured with a 10-item version of the Wisconsin Inventory of Smoking Dependence Motives (WISDM). Time-discounting was assessed with five branching questions about hypothetical reward scenarios. Logistic models regressed sustained quit attempts (≥30 days of abstinence) at time t + 1 on study variables at time t. RESULTS: We found strong interitem reliability (α = 0.92) and intraindividual consistency of our brief WISDM (ρ = 0.68), but moderate intraindividual consistency of the time-discounting measure (ρ = 0.48). Forty-eight percent of the sample reported sustained quit attempts, and 79% were non-daily or light daily smokers (≤5 cigarettes per day). Smokers with higher WISDM-10 had lower odds of sustained quitting and this result remained when controlling for smoking frequency and the Heaviness of Smoking Index (adjusted odds ratio [AOR] = 0.768). Time-discounting was unassociated with sustained quitting. CONCLUSIONS: Our findings suggest that a brief, 10-item multidimensional measure of dependence is useful for predicting sustained quitting in a context of relatively light smoking; time-discounting appears less relevant, although our results are not conclusive because of the low test-retest reliability of our measure. IMPLICATIONS: Given the increase in non-daily and light daily cigarette smoking in many countries, including in Mexico, and the health risks this still poses, it is important to understand the predictors of cessation among relatively light smokers. The WISDM-10 multidimensional measure seems to be a good instrument to assess dependence and predict successful quitting in this population, and possibly more appropriate than physical dependence measures. As such, it could help design and target more suitable cessation treatments for non-daily and daily light cigarette smokers. While this study did not find time-discounting to be a relevant predictor of smoking abstinence, future studies should explore other measures.

Classification of radial polydactyly based on physical characteristics.

BACKGROUND: Previous classifications in polydactyly of the thumb were by the level of duplication on radiography. This study aimed to develop a practical algorithm based on physical characteristics for treatment guidelines. METHODS: The polydactylies were stratified using four physical characteristics: floating, symmetry, dominant side, and joint angulation/nail size. The algorithm identified the hypoplastic type and then stratified the polydactylies as symmetric and asymmetric. The asymmetric type was divided into ulnar dominant and radial dominant. The symmetric type was divided into adequate type and inadequate type. The prediction of treatments was studied retrospectively by the distribution of surgical procedures in 500 patients with 545 affected thumbs, by the new classification and the Wassel-Flatt classification. RESULTS: Of the 545 polydactylies, 78 (14.5%) were categorized as the hypoplastic type, 369 (67.5%) as the ulnar-dominant type, 8 (1.5%) as the radial-dominant type, 70 (12.8%) as the symmetric adequate nail type, and 20 (3.7%) as the symmetric inadequate type. Treatments were excision and reconstruction in 403 polydactylies (73.9%), simple excision in 135 polydactylies (24.8%), and the Bilhaut-Cloquet procedure, ray amputation, and on-top plasty procedures were only performed in 7 polydactylies (1.3%). The distribution of surgical procedures was distinct among the new classification types and was similar among the Wassel-Flatt types. CONCLUSIONS: The new classification stratified polydactylies by physical findings in a stepwise manner. Though surgical technical details are not included, this simple classification is useful for paediatricians and parents to understand how a surgical decision is made. LEVEL OF EVIDENCE: Diagnostic Level IV.