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Article ; Online: In Young Adults with Femoroacetabular Impingement, Osteochondroplasty and Hip Joint Lavage, Each with or without Labral Repair, Did Not Differ for Pain at 1 Year; Osteochondroplasty Reduced Reoperations at 2 Years.

Mayer, Stephanie W

The Journal of bone and joint surgery. American volume

2021 Volume 103, Issue 10, Page(s) 933

MeSH term(s)	Arthroscopy ; Femoracetabular Impingement/surgery ; Hip Joint ; Humans ; Pain ; Reoperation ; Therapeutic Irrigation ; Young Adult
Language	English
Publishing date	2021-03-18
Publishing country	United States
Document type	Journal Article ; Comment
ZDB-ID	220625-0
ISSN	1535-1386 ; 0021-9355
ISSN (online)	1535-1386
ISSN	0021-9355
DOI	10.2106/JBJS.21.00243
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Book ; Online: Prediction of natural dry-snow avalanche activity using physics-based snowpack simulations

Mayer, Stephanie / Techel, Frank / Schweizer, Jürg / Herwijnen, Alec

eISSN: 1684-9981

2023

Abstract: Predicting the timing and size of natural snow avalanches is crucial for local and regional decision makers but remains one of the major challenges in avalanche forecasting. So far, forecasts are generally made by human experts interpreting a variety of ... ...

Abstract	Predicting the timing and size of natural snow avalanches is crucial for local and regional decision makers but remains one of the major challenges in avalanche forecasting. So far, forecasts are generally made by human experts interpreting a variety of data and drawing on their knowledge and experience. Using avalanche data from the Swiss Alps and one-dimensional physics-based snowpack simulations for virtual slopes, we developed a model predicting the probability of dry-snow avalanches occurring in the region surrounding automated weather stations based on the output of a recently developed instability model. This new avalanche day predictor was compared with benchmark models related to the amount of new snow. Evaluation on an independent data set demonstrated the importance of snow stratigraphy for natural avalanche release, as the avalanche day predictor outperformed the benchmark model based on the 3 d sum of new snow height (F1 scores: 0.71 and 0.65, respectively). The averaged predictions of both models resulted in the best performance (F1 score: 0.75). In a second step, we derived functions describing the probability for certain avalanche size classes. Using the 24 h new snow height as proxy of avalanche failure depth yielded the best estimator of typical (median) observed avalanche size, while the depth of the deepest weak layer, detected using the instability model, provided the better indicator regarding the largest observed avalanche size. Validation of the avalanche size estimator on an independent data set of avalanche observations confirmed these findings. Furthermore, comparing the predictions of the avalanche day predictors and avalanche size estimators with a 21-year data set of re-analysed regional avalanche danger levels showed increasing probabilities for natural avalanches and increasing avalanche size with increasing danger level. We conclude that these models may be valuable tools to support forecasting the occurrence of natural dry-snow avalanches.
Subject code	612
Language	English
Publishing date	2023-11-09
Publishing country	de
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Overweight BMI (25-29) in Active Duty Military: Excess Fat or More Lean Mass? A Look at the Evidence.

Clerc, Philip G / Mayer, Stéphanie B / Graybill, Sky

Military medicine

2021 Volume 187, Issue 7-8, Page(s) 201–203

Abstract: Many active duty service members and their health care providers feel that the current body mass index (BMI) standard for diagnosing obesity, BMI ≥30 kg/m2, may unfairly overclassify as obese those with higher muscle mass. Unfortunately, a closer look at ...

Abstract	Many active duty service members and their health care providers feel that the current body mass index (BMI) standard for diagnosing obesity, BMI ≥30 kg/m2, may unfairly overclassify as obese those with higher muscle mass. Unfortunately, a closer look at the data available for service members repeatedly demonstrates the exact opposite: we are actually underestimating the rates of obesity in service members using current BMI cutoffs when compared with body fat mass as measured by either dual-energy X-ray absorptiometry or bioelectrical impedance analysis as the gold standard. Using a lower BMI threshold and refining positive results via history, exam, labs, and/or more specific measurements of body composition would more accurately estimate body fat percentage in active duty service members while remaining convenient and scalable. Given the current obesity epidemic in our nation, this suggests the critical need for new approaches to screening, as well as treatment, of overweight and obesity in our military to improve service readiness.
MeSH term(s)	Absorptiometry, Photon/methods ; Body Composition/physiology ; Body Mass Index ; Electric Impedance ; Humans ; Military Personnel ; Obesity/epidemiology ; Overweight/epidemiology
Language	English
Publishing date	2021-10-21
Publishing country	England
Document type	Journal Article
ZDB-ID	391061-1
ISSN	1930-613X ; 0026-4075
ISSN (online)	1930-613X
ISSN	0026-4075
DOI	10.1093/milmed/usab447
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Book ; Online: Prediction of natural dry-snow avalanche activity using physics-based snowpack simulations

Mayer, Stephanie Isabelle / Techel, Frank / Schweizer, Jürg / Herwijnen, Alec

eISSN:

2023

Abstract	Predicting the timing and size of natural snow avalanches is crucial for local and regional decision makers but remains one of the major challenges in avalanche forecasting. So far, forecasts are generally made by human experts interpreting a variety of data and drawing on their knowledge and experience. Using avalanche data from the Swiss Alps and one-dimensional physics-based snowpack simulations for virtual slopes, we developed a model predicting the probability of dry-snow avalanches occurring in the region surrounding automated weather stations based on the output of a recently developed instability model. This new avalanche day predictor was compared with benchmark models related to the amount of new snow. Evaluation on an independent data set demonstrated the importance of snow stratigraphy for natural avalanche release, as the avalanche day predictor outperformed the benchmark model based on the 3 d sum of new snow height (F1 scores: 0.71 and 0.65, respectively). The averaged predictions of both models resulted in the best performance (F1 score: 0.75). In a second step, we derived functions describing the probability for certain avalanche size classes. Using the 24 h new snow height as proxy of avalanche failure depth yielded the best estimator of typical (median) observed avalanche size, while the depth of the deepest weak layer, detected using the instability model, provided the better indicator regarding the largest observed avalanche size. Validation of the avalanche size estimator on an independent data set of avalanche observations confirmed these findings. Furthermore, comparing the predictions of the avalanche day predictors and avalanche size estimators with a 21-year data set of re-analysed regional avalanche danger levels showed increasing probabilities for natural avalanches and increasing avalanche size with increasing danger level. We conclude that these models may be valuable tools to support forecasting the occurrence of natural dry-snow avalanches.
Subject code	612
Language	English
Publishing date	2023-11-09
Publishing country	de
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: A random forest model to assess snow instability from simulated snow stratigraphy

Mayer, Stephanie / Herwijnen, Alec / Techel, Frank / Schweizer, Jürg

eISSN: 1994-0424

2022

Abstract: Modeled snow stratigraphy and instability data are a promising source of information for avalanche forecasting. While instability indices describing the mechanical processes of dry-snow avalanche release have been implemented into snow cover models, ... ...

Abstract	Modeled snow stratigraphy and instability data are a promising source of information for avalanche forecasting. While instability indices describing the mechanical processes of dry-snow avalanche release have been implemented into snow cover models, there exists no readily applicable method that combines these metrics to predict snow instability. We therefore trained a random forest (RF) classification model to assess snow instability from snow stratigraphy simulated with SNOWPACK. To do so, we manually compared 742 snow profiles observed in the Swiss Alps with their simulated counterparts and selected the simulated weak layer corresponding to the observed rutschblock failure layer. We then used the observed stability test result and an estimate of the local avalanche danger to construct a binary target variable (stable vs. unstable) and considered 34 features describing the simulated weak layer and the overlying slab as potential explanatory variables. The final RF classifier aggregates six of these features into the output probability P unstable , corresponding to the mean vote of an ensemble of 400 classification trees. Although the subset of training data only consisted of 146 profiles labeled as either unstable or stable, the model classified profiles from an independent validation data set ( N =121 ) with high reliability (accuracy 88 %, precision 96 %, recall 85 %) using manually predefined weak layers. Model performance was even higher (accuracy 93 %, precision 96 %, recall 92 %), when the weakest layers of the profiles were identified with the maximum of P unstable . Finally, we compared model predictions to observed avalanche activity in the region of Davos for five winter seasons. Of the 252 avalanche days (345 non-avalanche days), 69 % (75 %) were classified correctly. Overall, the results of our RF classification are very encouraging, suggesting it could be of great value for operational avalanche forecasting.
Subject code	551
Language	English
Publishing date	2022-11-03
Publishing country	de
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: A random forest model to assess snow instability from simulated snow stratigraphy

Mayer, Stephanie / Herwijnen, Alec / Techel, Frank / Schweizer, Jürg

eISSN: 1994-0424

2022

Abstract	Modeled snow stratigraphy and instability data are a promising source of information for avalanche forecasting. While instability indices describing the mechanical processes of dry-snow avalanche release have been implemented into snow cover models, there exists no readily applicable method that combines these metrics to predict snow instability. We therefore trained a random forest (RF) classification model to assess snow instability from snow stratigraphy simulated with SNOWPACK. To do so, we manually compared 742 observed snow profiles with their simulated counterparts to select the simulated weak layer corresponding to the observed rutschblock failure layer. We then used the observed stability test result and an estimate of the local avalanche danger to construct a binary target variable (stable vs. unstable) and considered 34 features describing the simulated weak layer and the overlying slab as potential explanatory variables. The final RF classifier aggregates six of these features into the output probability P unstable , corresponding to the mean vote of an ensemble of 400 classification trees. Although the training data only consisted of 146 manual profiles labeled as either unstable or stable, the model classified profiles from an independent validation data set with high reliability (accuracy: 88 %, precision: 96 %, recall: 85 %) using manually predefined weak layers. Model performance was even higher (accuracy: 93 %, precision: 96 %, recall: 92 %), when the weakest layers of the profiles were identified with the maximum of P unstable . Finally, we compared model predictions to observed avalanche activity in the region of Davos for five winter seasons. In 73 % of the days, our model correctly discriminated between avalanche days and non-avalanche days. Overall, the results of our RF classification are very encouraging, suggesting it could be of great value for operational avalanche forecasting.
Subject code	551
Language	English
Publishing date	2022-03-10
Publishing country	de
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Swipe Right: a Comparison of Accuracy of Plant Identification Apps for Toxic Plants.

Otter, Jenna / Mayer, Stephanie / Tomaszewski, Christian A

Journal of medical toxicology : official journal of the American College of Medical Toxicology

2020 Volume 17, Issue 1, Page(s) 42–47

Abstract: Introduction: Plant identification applications for use on smartphones have been increasing in availability, accuracy, and utilization. We aimed to perform an introductory study to determine if a plant identification application (ID app) used on a ... ...

Abstract	Introduction: Plant identification applications for use on smartphones have been increasing in availability, accuracy, and utilization. We aimed to perform an introductory study to determine if a plant identification application (ID app) used on a smartphone could identify toxic plants, and to compare apps to determine which is most reliable. Methods: We compared three popular iPhone plant ID apps, PictureThis (PT), PlantSnap (PS), and Pl@ntNet (PN), used to identify 17 commonly encountered toxic plants. Apps were used to photograph the entire plant, leaves, and flowers of ≥ 10 different plants for each species. Two toxicologists performed plant identification with confirmation of identification performed by a botanist, and inter-researcher agreement was confirmed. For each plant species, scores for accuracy of app identification of leaves, flowers, and whole plant were combined to create an overall composite score used to compare accuracy of each app (95% C.I.). Results: PictureThis had the best performance with 10/17 (59% [36 to 78]) plant species identified 100% correctly, as opposed to 8/17 (47% [26 to 69]) for Pl@ntNet and 1/17 for PlantSnap (5.8% [1.1 to 27]). Conclusion: A plant identification app may be a useful tool to assist healthcare providers and the public in identifying toxic plants.
MeSH term(s)	Botany ; Humans ; Mobile Applications ; Observer Variation ; Photography ; Plants, Toxic/adverse effects ; Plants, Toxic/classification ; Smartphone ; Toxicology
Language	English
Publishing date	2020-08-13
Publishing country	United States
Document type	Comparative Study ; Journal Article
ZDB-ID	2435016-3
ISSN	1937-6995 ; 1556-9039
ISSN (online)	1937-6995
ISSN	1556-9039
DOI	10.1007/s13181-020-00803-6
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Article ; Online: Systemic therapy of necrobiotic xanthogranuloma: a systematic review.

Steinhelfer, Lisa / Kühnel, Thomas / Jägle, Herbert / Mayer, Stephanie / Karrer, Sigrid / Haubner, Frank / Schreml, Stephan

Orphanet journal of rare diseases

2022 Volume 17, Issue 1, Page(s) 132

Abstract: Background: Even though a plethora of systemic therapies have been proposed for necrobiotic xanthogranuloma (NXG), there is no systematic review on this topic in literature.: Objective: To review all existing literature on the systemic therapy of NXG ...

Abstract	Background: Even though a plethora of systemic therapies have been proposed for necrobiotic xanthogranuloma (NXG), there is no systematic review on this topic in literature. Objective: To review all existing literature on the systemic therapy of NXG in order to identify the most effective therapies. Methods: All reported papers in the literature were screened for systemic treatments of NXG. Papers without proper description of the therapies, papers describing topical therapy, and articles without assessment of effectiveness were excluded. Subsequently, we analyzed 79 papers and a total of 175 cases. Results: The most effective treatments for NXG are intravenous immunoglobulins (IVIG), corticosteroids, and combination therapies including corticosteroids. Conclusions: Corticosteroids and IVIG should therefore be considered first-line treatments in patients with NXG.
MeSH term(s)	Humans ; Immunoglobulins, Intravenous/therapeutic use ; Necrobiotic Xanthogranuloma/drug therapy ; Treatment Outcome
Chemical Substances	Immunoglobulins, Intravenous
Language	English
Publishing date	2022-03-24
Publishing country	England
Document type	Journal Article ; Review ; Systematic Review
ZDB-ID	2225857-7
ISSN	1750-1172 ; 1750-1172
ISSN (online)	1750-1172
ISSN	1750-1172
DOI	10.1186/s13023-022-02291-z
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Article ; Online: Efficacy of autogenous tooth roots for a combined vertical and horizontal alveolar ridge augmentation and staged implant placement. A prospective controlled clinical study.

Schwarz, Frank / Obreja, Karina / Mayer, Stephanie / Ramanauskaite, Ausra / Sader, Robert / Parvini, Puria

Journal of clinical periodontology

2022 Volume 49, Issue 5, Page(s) 496–505

Abstract: Objectives: To assess and compare the efficacy and safety of autogenous tooth roots (TRs) and autogenous bone blocks (ABs) for combined vertical and horizontal alveolar ridge augmentation and two-stage implant placement.: Materials and methods: A ... ...

Abstract	Objectives: To assess and compare the efficacy and safety of autogenous tooth roots (TRs) and autogenous bone blocks (ABs) for combined vertical and horizontal alveolar ridge augmentation and two-stage implant placement. Materials and methods: A total of 28 patients in need of implant therapy and vertical ridge augmentation were allocated to parallel groups receiving either healthy autogenous tooth roots (e.g., retained wisdom teeth) (n = 14, n = 15 defects) or cortical autogenous bone blocks harvested from the retromolar area (n = 14, n = 17 defects). After 26 weeks of submerged healing, the clinical reduction in ridge height (RH) deficiency was defined as the primary outcome. Results: Both surgical procedures were associated with a similar mean reduction in RH deficiency values, amounting to 4.48 ± 2.42 mm (median: 4.25; 95% CI: 3.08-5.88) in the TR group and 4.46 ± 3.31 mm (median: 3.00; 95% CI: 2.54-6.38) in the AB group (p = .60, Mann-Whitney U-test). In all patients investigated, the reduction in RH deficiency values allowed for an adequate implant placement at the respective sites. The frequency of complications (e.g., soft tissue dehiscences) was low (TR: n = 4; AB: n = 0). Conclusions: Up to staged-implant placement, both TR and AB grafts appeared to be associated with comparable efficacy and safety for combined vertical and horizontal alveolar ridge augmentation.
MeSH term(s)	Alveolar Ridge Augmentation/methods ; Bone Transplantation/methods ; Dental Implantation, Endosseous ; Humans ; Prospective Studies ; Tooth Root/surgery
Language	English
Publishing date	2022-03-08
Publishing country	United States
Document type	Controlled Clinical Trial ; Journal Article
ZDB-ID	188647-2
ISSN	1600-051X ; 0303-6979
ISSN (online)	1600-051X
ISSN	0303-6979
DOI	10.1111/jcpe.13609
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Article: Lateral Extra-articular Tenodesis: The Onlay Technique.

Wait, Trevor J / Kolaczko, Jensen G / Stevanovic, Ognjen / Orahovats, Alexandra / Boublik, Martin / Mayer, Stephanie W / Genuario, James W

Arthroscopy techniques

2023 Volume 12, Issue 8, Page(s) e1383–e1389

Abstract: Tibial anterolateral rotary instability associated with anterior cruciate ligament (ACL) tears is a well-documented and difficult problem with a long history of solutions. The lateral extra-articular tenodesis (LET) has undergone multiple refinements in ... ...

Abstract	Tibial anterolateral rotary instability associated with anterior cruciate ligament (ACL) tears is a well-documented and difficult problem with a long history of solutions. The lateral extra-articular tenodesis (LET) has undergone multiple refinements in technique, largely focusing on the femoral site insertion using either an interference screw versus a staple for adequate fixation. In this article, we present an improved technique using a suture anchor as an alternative to a staple or an interference screw with secure fixation to insert the LET graft onto the femur. This technique diminishes the chance of ACL tunnel-LET drilling convergence, minimizes the footprint required for adequate graft fixation, and allows the surgeon to dial in the correct tension necessary for adequate augmentation of an ACL reconstruction.
Language	English
Publishing date	2023-07-24
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2653101-X
ISSN	2212-6287
ISSN	2212-6287
DOI	10.1016/j.eats.2023.04.007
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