Jörg Goldhahn
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Last Name
Goldhahn
First Name
Jörg
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01637 - Medizinausbildung ETH / Medical Education ETH
147 results
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Publications1 - 10 of 147
- The Influence of Local Bone Density on the Outcome of One Hundred and Fifty Proximal Humeral Fractures Treated with a Locking PlateItem type: Journal Article
The Journal of Bone & Joint SurgeryKralinger, Franz; Blauth, Michael; Goldhahn, Jörg; et al. (2014) - How sharp is the short QuickDASH? A refined content and validity analysis of the short form of the disabilities of the shoulder, arm and hand questionnaire in the strata of symptoms and function and specific joint conditionsItem type: Journal Article
Quality of Life ResearchAngst, Felix; Goldhahn, Jörg; Drerup, Susann; et al. (2009) - Predicting Subjective Recovery from Lower Limb Surgery Using Consumer WearablesItem type: Journal Article
Digital BiomarkersKaras, Marta; Marinsek, Nikki; Goldhahn, Jörg; et al. (2020)Introduction: A major challenge in the monitoring of rehabilitation is the lack of long-term individual baseline data which would enable accurate and objective assessment of functional recovery. Consumer-grade wearable devices enable the tracking of individual everyday functioning prior to illness or other medical events which necessitate the monitoring of recovery trajectories. Methods: For 1,324 individuals who underwent surgery on a lower limb, we collected their Fitbit device data of steps, heart rate, and sleep from 26 weeks before to 26 weeks after the self-reported surgery date. We identified subgroups of individuals who self-reported surgeries for bone fracture repair (n = 355), tendon or ligament repair/reconstruction (n = 773), and knee or hip joint replacement (n = 196). We used linear mixed models to estimate the average effect of time relative to surgery on daily activity measurements while adjusting for gender, age, and the participant-specific activity baseline. We used a sub-cohort of 127 individuals with dense wearable data who underwent tendon/ligament surgery and employed XGBoost to predict the self-reported recovery time. Results: The 1,324 study individuals were all US residents, predominantly female (84%), white or Caucasian (85%), and young to middle-aged (mean age 36.2 years). We showed that 12 weeks pre- and 26 weeks post-surgery trajectories of daily behavioral measurements (steps sum, heart rate, sleep efficiency score) can capture activity changes relative to an individual’s baseline. We demonstrated that the trajectories differ across surgery types, recapitulate the documented effect of age on functional recovery, and highlight differences in relative activity change across self-reported recovery time groups. Finally, using a sub-cohort of 127 individuals, we showed that long-term recovery can be accurately predicted, on an individual level, only 1 month after surgery (AUROC 0.734, AUPRC 0.8). Furthermore, we showed that predictions are most accurate when long-term, individual baseline data are available. Discussion: Leveraging long-term, passively collected wearable data promises to enable relative assessment of individual recovery and is a first step towards data-driven intervention for individuals. - Digitalizing health trials by the Clinical Trials Transformation InitiativeItem type: Other Journal Item
Nature Reviews BioengineeringGoldhahn, Jörg; Brasier, Noé Karl; Kehoe, Lindsay (2024)The Clinical Trials Transformation Initiative (CTTI) provides recommendations to unlock the full potential of digital health trials, including tools to develop digital biomarkers or endpoints, apply remote technology and interact with health authorities. - Cortical porosity of the mandible in an osteoporotic sheep modelItem type: Journal Article
Clinical Oral Implants ResearchDvorak, Gabriella; Reich, Karoline M.; Tangl, Stefan; et al. (2011) - The dominant logic of Big Tech in healthcare and pharmaItem type: Other Journal Item
Drug Discovery TodaySchuhmacher, Alexander; Haefner, Naomi; Honsberg, Katharina; et al. (2023)Digital health and digital pharma are considered supportive tools for patients and healthcare providers (HCPs), making the market highly attractive for industry players. Not surprisingly, Tech Giants have started to move into this area. We utilized established management models and publicly available information sources, such as annual company reports, and performed a thorough analysis to uncover the underlying business models of Alphabet, Amazon, Apple, IBM, and Microsoft in order to better understand their intention and course of entering the healthcare and pharma industries. Our results indicate that Big Tech or Tech Giants do address the needs of patients and physicians, while having built clear value propositions, value chains, and revenue models to sustainably revolutionize the healthcare and pharma industries. - Virtual supersampling as post-processing step preserves the trabecular bone morphometry in human peripheral quantitative computed tomography scansItem type: Journal Article
PLoS ONESchulte, Friederike A.; Christen, Patrik; Badilatti, Sandro D.; et al. (2019)In the clinical field of diagnosis and monitoring of bone diseases, high-resolution peripheral quantitative computed tomography (HR-pQCT) is an important imaging modality. It provides a resolution where quantitative bone morphometry can be extracted in vivo on patients. It is known that HR-pQCT provides slight differences in morphometric indices compared to the current standard approach micro-computed tomography (micro-CT). The most obvious reason for this is the restriction of the radiation dose and with this a lower image resolution. With advances in micro-CT evaluation techniques such as patient-specific remodeling simulations or dynamic bone morphometry, a higher image resolution would potentially also allow the application of such novel evaluation techniques to clinical HR-pQCT measurements. Virtual supersampling as post-processing step was considered to increase the image resolution of HR-pQCT scans. The hypothesis was that this technique preserves the structural bone morphometry. Supersampling from 82 μm to virtual 41 μm by trilinear interpolation of the grayscale values of 42 human cadaveric forearms resulted in strong correlations of structural parameters (R2: 0.96–1.00). BV/TV was slightly overestimated (4.3%, R2: 1.00) compared to the HR-pQCT resolution. Tb.N was overestimated (7.47%; R2: 0.99) and Tb.Th was slightly underestimated (-4.20%; R2: 0.98). The technique was reproducible with PE%CV between 1.96% (SMI) and 7.88% (Conn.D). In a clinical setting with 205 human forearms with or without fracture measured at 82 μm resolution HR-pQCT, the technique was sensitive to changes between groups in all parameters (p < 0.05) except trabecular thickness. In conclusion, we demonstrated that supersampling preserves the bone morphometry from HR-pQCT scans and is reproducible and sensitive to changes between groups. Supersampling can be used to investigate on the resolution dependency of HR-pQCT images and gain more insight into this imaging modality. - Critical Issues in Translational and Clinical Research for the Study of New Technologies to Enhance Bone RepairItem type: Journal Article
The Journal of Bone & Joint SurgeryGoldhahn, Jörg; Mitlak, Bruce; Aspenberg, Per; et al. (2008) - Translational longevity medicine: a Swiss perspective in an ageing countryItem type: Review Article
Swiss Medical WeeklyRuckstuhl, Marco M.; Bischof, Evelyne; Blatch, Dana; et al. (2023)Breakthroughs in medical research in the last century have led to a significant extension of the human lifespan, resulting in a shift towards an elderly population worldwide. Due to the ongoing progress of global development towards elevated standards of living, this study specifically examines Switzerland as a representative nation to explore the socioeconomic and healthcare ramifications associated with an ageing population, thereby highlighting the tangible impact experienced in this context. Beyond the exhaustion of pension funds and medical budgets, by reviewing the literature and analysing publicly available data, we observe a "Swiss Japanification". Old age is associated with late-life comorbidities and an increasing proportion of time spent in poor health. To address these problems, a paradigm shift in medical practice is needed to improve health rather than respond to existing diseases. Basic ageing research is gaining momentum to be translated into therapeutic interventions and provides machine learning tools driving longevity medicine. We propose that research focus on closing the translational gap between the molecular mechanisms of ageing and a more prevention-based medicine, which would help people age better and prevent late-life chronic diseases. - Influence of osteoporosis on fracture fixation - a systematic literature reviewItem type: Journal Article
Osteoporosis InternationalGoldhahn, Jörg; Suhm, Norbert; Goldhahn, Sabine; et al. (2008)
Publications1 - 10 of 147