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Nevin Manimala Statistics

Length of the Most Distal End of Head and Neck Defect to Axilla Affects Survival of Pedicled Latissimus Dorsi Flap

J Craniofac Surg. 2022 Jul 28. doi: 10.1097/SCS.0000000000008737. Online ahead of print.

ABSTRACT

OBJECTIVES: The objective of this study was to determine factors affecting the survival of pedicled latissimus dorsi (LD) flap.

MATERIALS AND METHODS: Medical records of 20 pedicled LD flap patients for head and neck reconstruction by a single operator from 2015 to 2019 in a tertiary hospital were reviewed. Factors including flap size and pedicle’s length from the most distal end of the flap to the axilla (Fp) and from the most distal end of the defect to the axilla (Dfp) were assessed. Partial flap loss requiring procedures and total loss were considered as failure. Descriptive statistics, the Pearson χ2 test, and linear-by-linear association analysis were performed.

RESULTS: Seventy percent of patients showed success. There was no significant difference in various factors including preoperative body mass index, underlying diseases such as hypertension and diabetes, preoperative treatment either radiation or chemotherapy, lab results, and operation time between the survival and the failure group. Rotation arc (Dfp/Fp) showed significant difference between 2 groups (P=0.001). Unlike Fp, Dfp tend to be shorter on the success group (P=0.053).

CONCLUSIONS: Low rotation arc through shorter Dfp affects survival of pedicled LD flap significantly.

PMID:35905387 | DOI:10.1097/SCS.0000000000008737

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Nevin Manimala Statistics

Factors Affecting Optic Nerve Damage in Le Fort III Osteotomy: A Retrospective Study

J Craniofac Surg. 2022 Jul 28. doi: 10.1097/SCS.0000000000008716. Online ahead of print.

ABSTRACT

The causes of visual impairment following Le Fort osteotomy for syndromic craniosynostosis have not been completely elucidated. The authors investigated the potential causes and means of prevention of optic nerve damage, with particular emphasis on intraoperative blood transfusion volume and operating time. This retrospective study evaluated patients who underwent Le Fort III osteotomy for syndromic craniosynostosis between 2000 and 2020. Data on pupillary reflex, pupil size, operating time, blood transfusion, age at time of surgery, sex, and syndrome type were obtained from medical records. Univariate analysis and multivariate analysis with the level of statistical significance set at P<0.05. For the 86 patients included, the mean values of operating time, amount of blood transfusion based on body weight, amount of blood transfusion per body weight per hour, and age were 6.0 hours (range: 3.5-12.3 h), 30.5 mL/kg (range: 0-322 mL/kg), 5.14 mL/kg/h (range: 0-35.7 mL/kg/h), and 10.0 years (range: 4-38 y), respectively. Crouzon, Apert, and Pfeiffer syndromes were observed in 49, 29, and 8 patients, respectively. Abnormal pupillary findings were observed in 27 patients of whom 25 showed no abnormalities in subsequent visual function and 2 developed blindness. Abnormal pupillary findings correlated with the amount of blood transfused per body weight (P=0.0082) and amount of blood transfused per body weight per hour (P=0.0052). As demonstrated in this study, increased intraoperative bleeding and amount of blood transfused were associated with optic nerve damage, particularly during acute bleeding. Prompt inspection of the pupils following surgery is therefore warranted.

PMID:35905386 | DOI:10.1097/SCS.0000000000008716

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Nevin Manimala Statistics

Neoforehead Remodelling Techniques for Fronto-Orbital Advancement and Remodelling in the Oxford Craniofacial Unit: Lateral Remodelling and a Novel Central Self-Stabilizing S-Osteotomy Technique

J Craniofac Surg. 2022 Jul 28. doi: 10.1097/SCS.0000000000008859. Online ahead of print.

ABSTRACT

Fronto-orbital advancement and remodelling (FOAR) has undergone many modifications over the years, aimed at improving outcomes and reducing risks for patients. This work describes 2 techniques for remodelling the neoforehead used by the Oxford Craniofacial Unit since 1995: lateral remodelling and a central S-Osteotomy. Both methods adopt bone from the vertex as a neoforehead, but they differ in their techniques to adapt its shape to that of the newly remodelled orbital bandeau. The novel S-Osteotomy technique can be successfully applied to all FOAR procedures, irrespective of underlying synostosis and calvarial symmetry. It was originally developed for when 2 separate bony panels were required to create a neoforehead in asymmetrical cases, but was adopted for single panel neoforehead designs in metopic synostosis with the idea it may reduce temporal hollowing. An investigation of temporal hollowing in these patients who underwent either of the described methods was undertaken to assess this hypothesis with no statistically significant difference seen (P=0.1111). Both techniques on average resulted in minimal hollowing that was not felt to require any revision, supporting the belief that temporal hollowing is a multifactorial issue. This work describes 2 successful methods of neoforehead remodelling and introduces the S-Osteotomy technique that can be applied in all FOAR procedures.

PMID:35905378 | DOI:10.1097/SCS.0000000000008859

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Nevin Manimala Statistics

Understanding the impact process of vaccine adoption for COVID-19

Hum Vaccin Immunother. 2022 Jul 29:2099166. doi: 10.1080/21645515.2022.2099166. Online ahead of print.

ABSTRACT

Vaccination for the novel coronavirus disease 2019 (COVID-19) provides an effective approach for the general improvement of social safety and individual health. To date, few studies have analyzed the adoption of COVID-19 vaccines from an entire impact process perspective. Using the health belief model (HBM) and the valence theory, this research evaluates the impact process of vaccine adoption for COVID-19. The respondents in this study were individuals who have been vaccinated in China. The effective sample included 595 individuals. Four valuable and novel findings are identified through this research. First, neither perceived susceptibility nor perceived severity has a statistically significant impact on the benefits from vaccination, threats from vaccination and self-efficacy. Second, benefits from vaccination produce a significant positive effect on self-efficacy and vaccine adoption. Third, threats from vaccination produce a significant negative effect on self-efficacy and vaccine adoption. Fourth, both self-efficacy and cues to adoption produce a significantly positive impact on vaccine adoption. Our theoretical model, which is the main contribution of this research, indicates that individual vaccine adoption is simply a process that leads from behavioral cognition to behavioral intention, rather than from psychological perception to behavioral cognition and then from behavioral cognition to behavioral intention.

PMID:35905384 | DOI:10.1080/21645515.2022.2099166

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Nevin Manimala Statistics

Direct Verification of the Kinetic Description of Wave Turbulence for Finite-Size Systems Dominated by Interactions among Groups of Six Waves

Phys Rev Lett. 2022 Jul 15;129(3):034101. doi: 10.1103/PhysRevLett.129.034101.

ABSTRACT

The present work considers systems whose dynamics are governed by the nonlinear interactions among groups of 6 nonlinear waves, such as those described by the unforced quintic nonlinear Schrödinger equation. Specific parameter regimes in which ensemble-averaged dynamics of such systems with finite size are accurately described by a wave kinetic equation, as used in wave turbulence theory, are theoretically predicted. In addition, the underlying reasons that the wave kinetic equation may be a poor predictor of wave dynamics outside these regimes are also discussed. These theoretical predictions are directly verified by comparing ensemble averages of solutions to the dynamical equation with corresponding solutions of the wave kinetic equation.

PMID:35905369 | DOI:10.1103/PhysRevLett.129.034101

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Nevin Manimala Statistics

Instantons and the Path to Intermittency in Turbulent Flows

Phys Rev Lett. 2022 Jul 15;129(3):034502. doi: 10.1103/PhysRevLett.129.034502.

ABSTRACT

Processes leading to anomalous fluctuations in turbulent flows, referred to as intermittency, are still challenging. We consider cascade trajectories through scales as realizations of a stochastic Langevin process for which multiplicative noise is an intrinsic feature of the turbulent state. The trajectories are conditioned on their entropy exchange. Such selected trajectories concentrate around an optimal path, called instanton, which is the minimum of an effective action. The action is derived from the Langevin equation, estimated from measured data. In particular instantons with negative entropy pinpoint the trajectories responsible for the emergence of non-Gaussian statistics at small scales.

PMID:35905359 | DOI:10.1103/PhysRevLett.129.034502

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Nevin Manimala Statistics

Randomized Quantum Algorithm for Statistical Phase Estimation

Phys Rev Lett. 2022 Jul 15;129(3):030503. doi: 10.1103/PhysRevLett.129.030503.

ABSTRACT

Phase estimation is a quantum algorithm for measuring the eigenvalues of a Hamiltonian. We propose and rigorously analyze a randomized phase estimation algorithm with two distinctive features. First, our algorithm has complexity independent of the number of terms L in the Hamiltonian. Second, unlike previous L-independent approaches, such as those based on qDRIFT, all algorithmic errors in our method can be suppressed by collecting more data samples, without increasing the circuit depth.

PMID:35905339 | DOI:10.1103/PhysRevLett.129.030503

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Nevin Manimala Statistics

Dietary fat in relation to all-cause mortality and cancer progression and death among people with metastatic colorectal cancer: data from CALGB 80405 (Alliance)/SWOG 80405

Int J Cancer. 2022 Jul 29. doi: 10.1002/ijc.34230. Online ahead of print.

ABSTRACT

Data on diet and survival among people with metastatic colorectal cancer are limited. We examined dietary fat in relation to all-cause mortality and cancer progression or death among 1,149 people in the Cancer and Leukemia Group B (Alliance)/Southwest Oncology Group (SWOG) 80405 trial who completed a food frequency questionnaire at initiation of treatment for advanced or metastatic colorectal cancer. We examined saturated; monounsaturated; total and specific types (n-3, long-chain n-3, and n-6) of polyunsaturated fat; animal; and vegetable fats. We hypothesized higher vegetable fat intake would be associated with lower risk of all-cause mortality and cancer progression. We used Cox proportional hazards regression to estimate adjusted hazard ratios (HR) and 95% confidence intervals (CI). Over median follow-up of 6.1 years [interquartile range (IQR): 5.3, 7.2 y], we observed 974 deaths and 1,077 events of progression or death. Participants had a median age of 59 y; 41% were female and 86% identified as White. Moderate or higher vegetable fat was associated with lower risk of mortality and cancer progression or death [HRs comparing 2nd , 3rd , and 4th to 1st quartile for all-cause mortality: 0.74 (0.62, 0.90); 0.75 (0.61, 0.91); 0.79 (0.63, 1.00); p-trend: 0.12; for cancer progression or death: 0.74 (0.62, 0.89); 0.78 (0.64, 0.95); 0.71 (0.57, 0.88); p-trend: 0.01]. No other fat type was associated with all-cause mortality and cancer progression or death. Moderate or higher vegetable fat intake may be associated with lower risk of cancer progression or death among people with metastatic colorectal cancer.

PMID:35904874 | DOI:10.1002/ijc.34230

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Nevin Manimala Statistics

The Stroke Recovery in Motion Implementation Planner: Mixed Methods User Evaluation

JMIR Form Res. 2022 Jul 29;6(7):e37189. doi: 10.2196/37189.

ABSTRACT

BACKGROUND: As more people are surviving stroke, there is a growing need for services and programs that support the long-term needs of people living with the effects of stroke. Exercise has many benefits; however, most people with stroke do not have access to specialized exercise programs that meet their needs in their communities. To catalyze the implementation of these programs, our team developed the Stroke Recovery in Motion Implementation Planner, an evidence-informed implementation guide for teams planning a community-based exercise program for people with stroke.

OBJECTIVE: This study aimed to conduct a user evaluation to elicit user perceptions of the usefulness and acceptability of the Planner to inform revisions.

METHODS: This mixed methods study used a concurrent triangulation design. We used purposive sampling to enroll a diverse sample of end users (program managers and coordinators, rehabilitation health partners, and fitness professionals) from three main groups: those who are currently planning a program, those who intend to plan a program in the future, and those who had previously planned a program. Participants reviewed the Planner and completed a questionnaire and interviews to identify positive features, areas of improvement, value, and feasibility. We used descriptive statistics for quantitative data and content analysis for qualitative data. We triangulated the data sources to identify Planner modifications.

RESULTS: A total of 39 people participated in this study. Overall, the feedback was positive, highlighting the value of the Planner’s comprehensiveness, tools and templates, and real-world examples. The identified areas for improvement included clarifying the need for specific steps, refining navigation, and creating more action-oriented content. Most participants reported an increase in knowledge and confidence after reading the Planner and reported that using the resource would improve their planning approach.

CONCLUSIONS: We used a rigorous and user-centered process to develop and evaluate the Planner. End users indicated that it is a valuable resource and identified specific changes for improvement. The Planner was subsequently updated and is now publicly available for community planning teams to use in the planning and delivery of evidence-informed, sustainable, community-based exercise programs for people with stroke.

PMID:35904870 | DOI:10.2196/37189

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Nevin Manimala Statistics

High-Resolution Digital Phenotypes From Consumer Wearables and Their Applications in Machine Learning of Cardiometabolic Risk Markers: Cohort Study

J Med Internet Res. 2022 Jul 29;24(7):e34669. doi: 10.2196/34669.

ABSTRACT

BACKGROUND: Consumer-grade wearable devices enable detailed recordings of heart rate and step counts in free-living conditions. Recent studies have shown that summary statistics from these wearable recordings have potential uses for longitudinal monitoring of health and disease states. However, the relationship between higher resolution physiological dynamics from wearables and known markers of health and disease remains largely uncharacterized.

OBJECTIVE: We aimed to derive high-resolution digital phenotypes from observational wearable recordings and to examine their associations with modifiable and inherent markers of cardiometabolic disease risk.

METHODS: We introduced a principled framework to extract interpretable high-resolution phenotypes from wearable data recorded in free-living conditions. The proposed framework standardizes the handling of data irregularities; encodes contextual information regarding the underlying physiological state at any given time; and generates a set of 66 minimally redundant features across active, sedentary, and sleep states. We applied our approach to a multimodal data set, from the SingHEART study (NCT02791152), which comprises heart rate and step count time series from wearables, clinical screening profiles, and whole genome sequences from 692 healthy volunteers. We used machine learning to model nonlinear relationships between the high-resolution phenotypes on the one hand and clinical or genomic risk markers for blood pressure, lipid, weight and sugar abnormalities on the other. For each risk type, we performed model comparisons based on Brier scores to assess the predictive value of high-resolution features over and beyond typical baselines. We also qualitatively characterized the wearable phenotypes for participants who had actualized clinical events.

RESULTS: We found that the high-resolution features have higher predictive value than typical baselines for clinical markers of cardiometabolic disease risk: the best models based on high-resolution features had 17.9% and 7.36% improvement in Brier score over baselines based on age and gender and resting heart rate, respectively (P<.001 in each case). Furthermore, heart rate dynamics from different activity states contain distinct information (maximum absolute correlation coefficient of 0.15). Heart rate dynamics in sedentary states are most predictive of lipid abnormalities and obesity, whereas patterns in active states are most predictive of blood pressure abnormalities (P<.001). Moreover, in comparison with standard measures, higher resolution patterns in wearable heart rate recordings are better able to represent subtle physiological dynamics related to genomic risk for cardiometabolic disease (improvement of 11.9%-22.0% in Brier scores; P<.001). Finally, illustrative case studies reveal connections between these high-resolution phenotypes and actualized clinical events, even for borderline profiles lacking apparent cardiometabolic risk markers.

CONCLUSIONS: High-resolution digital phenotypes recorded by consumer wearables in free-living states have the potential to enhance the prediction of cardiometabolic disease risk and could enable more proactive and personalized health management.

PMID:35904853 | DOI:10.2196/34669