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Spetz K, Hult M, Olbers T, Bonn S, Svedjeholm S, Lagerros YT, Andersson E. A smartphone application to improve adherence to vitamin and mineral supplementation after bariatric surgery. Obesity (Silver Spring) 2022; 30:1973-1982. [PMID: 36050801 PMCID: PMC9805084 DOI: 10.1002/oby.23536] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 06/27/2022] [Accepted: 06/28/2022] [Indexed: 01/09/2023]
Abstract
OBJECTIVE This trial evaluated a smartphone application's effectiveness in improving adherence to vitamin and mineral supplementation postoperatively. METHODS This study was a randomized controlled trial comprising 140 patients undergoing bariatric surgery (gastric bypass or sleeve gastrectomy). Participants were randomized 1:1 to the 12-week intervention, using the smartphone application PromMera, or to standard care. The primary end point was adherence to vitamin and mineral supplementation. RESULTS Initiation rate and overall adherence to supplementation were high in both groups. Change in objectively measured adherence rate from before the intervention to 1 year post surgery, measured with pharmacy refill data, did not differ between groups for vitamin B12 (-9.6% [SD = 27%] vs. -9.3% [SD = 30%]; p = 0.48) or calcium/vitamin D (-12.3% [SD = 29%] vs. -11.5% [SD = 32%]; p = 0.44). A modest effect on the secondary end point (subjectively measured adherence, using the Medication Adherence Report Scale-5) was seen immediately after the intervention (intervention group 0.00 [SD = 1.3] vs. control group -1.2 [SD = 3.5]; p = 0.021), but this effect did not persist 1 year post surgery. No differences were detected in the prevalence of biochemical deficiencies. CONCLUSIONS The use of the smartphone application PromMera did not obtain a lasting improvement in adherence to vitamin and mineral supplementation 1 year post bariatric surgery.
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Affiliation(s)
- Kristina Spetz
- Department of Surgery and Department of Biomedical and Clinical SciencesLinköping UniversityNorrköpingSweden
| | - Mari Hult
- Division of Upper Abdominal Diseases, Karolinska University Hospital, and Unit of Gastroenterology, Department of Medicine (Huddinge)Karolinska InstitutetStockholmSweden
| | - Torsten Olbers
- Department of Surgery and Department of Biomedical and Clinical SciencesLinköping UniversityNorrköpingSweden
| | - Stephanie Bonn
- Clinical Epidemiology Division, Department of Medicine (Solna)Karolinska InstitutetStockholmSweden
| | - Sanna Svedjeholm
- Department of Surgery and Department of Biomedical and Clinical SciencesLinköping UniversityNorrköpingSweden
| | - Ylva Trolle Lagerros
- Clinical Epidemiology Division, Department of Medicine (Solna), Karolinska Institutet, and Center for ObesityAcademic Specialist Center, Stockholm Health ServicesStockholmSweden
| | - Ellen Andersson
- Department of Surgery and Department of Biomedical and Clinical SciencesLinköping UniversityNorrköpingSweden
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Goodrose-Flores C, Bonn S, Klasson C, Helde Frankling M, Trolle Lagerros Y, Björkhem-Bergman L. Appetite in Palliative Cancer Patients and Its Association with Albumin, CRP and Quality of Life in Men and Women—Cross-Sectional Data from the Palliative D-Study. Life (Basel) 2022; 12:life12050671. [PMID: 35629338 PMCID: PMC9144128 DOI: 10.3390/life12050671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 04/24/2022] [Accepted: 04/27/2022] [Indexed: 11/27/2022] Open
Abstract
Albumin is an important biochemical marker in palliative cancer care, used for assessment of nutritional status, disease severity and prognosis. Our primary aim was to investigate sex differences in the association between appetite and albumin levels in palliative cancer patients. We also aimed to study associations between appetite and C-reactive protein (CRP), Quality of Life (QoL), pain and fatigue. In the Palliative D-cohort, consisting of 266 men and 264 women, we found a correlation between appetite and albumin; low appetite, measured with the Edmonton Symptom Assessment System, correlated significantly with low albumin in men: (r = −0.33, p < 0.001), but not in women (r = −0.03, p = 0.65). In a regression analysis adjusted for confounding factors, results were similar. Lower appetite was correlated with higher CRP in men (r = 0.27, p < 0.001), but not in women (r = 0.12, p = 0.05). Appetite was correlated with QoL, fatigue and pain in both men and women; those with a low appetite had a low QoL and high fatigue- and pain-scores (p < 0.001). In conclusion, our results indicated possible sex differences in the associations between appetite and albumin, and between appetite and CRP, in palliative care patients. Understanding these associations could provide additional value for clinical practice.
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Affiliation(s)
- Charlotte Goodrose-Flores
- Clinical Epidemiology Division, Department of Medicine (Solna), Karolinska Institutet, 171 77 Solna, Sweden; (S.B.); (Y.T.L.)
- Correspondence:
| | - Stephanie Bonn
- Clinical Epidemiology Division, Department of Medicine (Solna), Karolinska Institutet, 171 77 Solna, Sweden; (S.B.); (Y.T.L.)
| | - Caritha Klasson
- Division of Geriatrics, Department of Neurobiology, Care Sciences and Society (Huddinge), Karolinska Institutet, 171 77 Solna, Sweden; (C.K.); (M.H.F.); (L.B.-B.)
| | - Maria Helde Frankling
- Division of Geriatrics, Department of Neurobiology, Care Sciences and Society (Huddinge), Karolinska Institutet, 171 77 Solna, Sweden; (C.K.); (M.H.F.); (L.B.-B.)
- Theme Cancer, Karolinska University Hospital, 112 19 Stockholm, Sweden
| | - Ylva Trolle Lagerros
- Clinical Epidemiology Division, Department of Medicine (Solna), Karolinska Institutet, 171 77 Solna, Sweden; (S.B.); (Y.T.L.)
- Center of Obesity, Academic Specialist Center, Stockholm Health Services, 112 19 Stockholm, Sweden
| | - Linda Björkhem-Bergman
- Division of Geriatrics, Department of Neurobiology, Care Sciences and Society (Huddinge), Karolinska Institutet, 171 77 Solna, Sweden; (C.K.); (M.H.F.); (L.B.-B.)
- Theme Cancer, Karolinska University Hospital, 112 19 Stockholm, Sweden
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Bonn S, Licitra G, Bellocco R, Trolle Lagerros Y. Metadata Correction: Clinical Outcomes Among Working Adults Using the Health Integrator Smartphone App: Analyses of Prespecified Secondary Outcomes in a Randomized Controlled Trial. J Med Internet Res 2022; 24:e38199. [PMID: 35324452 PMCID: PMC8990340 DOI: 10.2196/38199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 03/22/2022] [Indexed: 11/25/2022] Open
Affiliation(s)
- Stephanie Bonn
- Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Gabriella Licitra
- Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Rino Bellocco
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
| | - Ylva Trolle Lagerros
- Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.,Center for Obesity, Academic Specialist Center, Stockholm Health Services, Stockholm, Sweden
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Bonn S, Licitra G, Bellocco R, Trolle Lagerros Y. Clinical Outcomes Among Working Adults Using the Health Integrator Smartphone App: Analyses of Prespecified Secondary Outcomes in a Randomized Controlled Trial. J Med Internet Res 2022; 24:e24725. [PMID: 35311677 PMCID: PMC8946520 DOI: 10.2196/24725] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 01/10/2021] [Accepted: 02/01/2022] [Indexed: 11/25/2022] Open
Abstract
Background There is a need to find new methods that can enhance the individuals’ engagement in self-care and increase compliance to a healthy lifestyle for the prevention of noncommunicable diseases and improved quality of life. Mobile health (mHealth) apps could provide large-scale, cost-efficient digital solutions to implement lifestyle change, which as a corollary may enhance quality of life. Objective Here we evaluate if the use of a smartphone-based self-management system, the Health Integrator app, with or without telephone counseling by a health coach, had an effect on clinical variables (secondary outcomes) of importance for noncommunicable diseases. Methods The study was a 3-armed parallel randomized controlled trial. Participants were randomized to a control group or to 1 of 2 intervention groups using the Health Integrator app with or without additional telephone counseling for 3 months. Clinical variables were assessed before the start of the intervention (baseline) and after 3 months. Due to the nature of the intervention, targeting lifestyle changes, participants were not blinded to their allocation. Robust linear regression with complete case analysis was performed to study the intervention effect among the intervention groups, both in the entire sample and stratifying by type of work (office worker vs bus driver) and sex. Results Complete data at baseline and follow-up were obtained from 205 and 191 participants, respectively. The mean age of participants was 48.3 (SD 10) years; 61.5% (126/205) were men and 52.2% (107/205) were bus drivers. Improvements were observed at follow-up among participants in the intervention arms. There was a small statistically significant effect on waist circumference (β=–0.97, 95% CI –1.84 to –0.10) in the group receiving the app and additional coach support compared to the control group, but no other statistically significant differences were seen. However, participants receiving only the app had statistically significantly lower BMI (β=–0.35, 95% CI –0.61 to –0.09), body weight (β=–1.08, 95% CI –1.92 to –0.26), waist circumference (β=–1.35, 95% CI –2.24 to –0.45), and body fat percentage (β=–0.83, 95% CI –1.65 to –0.02) at follow-up compared to the controls. There was a statistically significant difference in systolic blood pressure between the two intervention groups at follow-up (β=–3.74, 95% CI –7.32 to –0.16); no other statistically significant differences in outcome variables were seen. Conclusions Participants randomized to use the Health Integrator smartphone app showed small but statistically significant differences in body weight, BMI, waist circumference, and body fat percentage compared to controls after a 3-month intervention. The effect of additional coaching together with use of the app is unclear. Trial Registration ClinicalTrials.gov NCT03579342; https://clinicaltrials.gov/ct2/show/NCT03579342 International Registered Report Identifier (IRRID) RR2-10.1186/s12889-019-6595-6
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Affiliation(s)
- Stephanie Bonn
- Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Gabriella Licitra
- Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Rino Bellocco
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
| | - Ylva Trolle Lagerros
- Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Center for Obesity, Academic Specialist Center, Stockholm Health Services, Stockholm, Sweden
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Hantikainen E, Trolle Lagerros Y, Bonn S. Author Response: Dietary Antioxidants and the Risk of Parkinson Disease: The Swedish National March Cohort. Neurology 2021; 97:511-512. [PMID: 34489347 DOI: 10.1212/wnl.0000000000012533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 07/01/2021] [Indexed: 11/15/2022] Open
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Magruder DS, Liebhoff AM, Bethune J, Bonn S. Interactive gene networks with KNIT. Bioinformatics 2021; 37:276-278. [PMID: 33416865 DOI: 10.1093/bioinformatics/btaa1107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 12/28/2020] [Accepted: 01/03/2021] [Indexed: 11/14/2022] Open
Abstract
SUMMARY KNIT is a web application that provides a hierarchical, directed graph on how a set of genes is connected to a particular gene of interest. Its primary aim is to aid researchers in discerning direct from indirect effects that a gene might have on the expression of other genes and molecular pathways, a very common problem in omics analysis. As such, KNIT provides deep contextual information for experiments where gene or protein expression might be changed, such as gene knock-out and overexpression experiments. AVAILABILITY AND IMPLEMENTATION KNIT is publicly available at http://knit.ims.bio. It is implemented with Django and Nuxtjs, with all major browsers supported. SUPPLEMENTARY INFORMATION Supplementary information: Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- D S Magruder
- Institute for Medical Systems Biology, bAIome-Center for Biomedical AI, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, 20246, Germany.,Genevention GmbH, Goettingen, 37079, Germany
| | - A M Liebhoff
- Institute for Medical Systems Biology, bAIome-Center for Biomedical AI, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, 20246, Germany
| | - J Bethune
- Institute for Medical Systems Biology, bAIome-Center for Biomedical AI, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, 20246, Germany
| | - S Bonn
- Institute for Medical Systems Biology, bAIome-Center for Biomedical AI, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, Hamburg, 20246, Germany
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Hantikainen E, Trolle Lagerros Y, Ye W, Serafini M, Adami HO, Bellocco R, Bonn S. Dietary Antioxidants and the Risk of Parkinson Disease: The Swedish National March Cohort. Neurology 2021; 96:e895-e903. [PMID: 33408141 DOI: 10.1212/wnl.0000000000011373] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 10/05/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To determine whether high baseline dietary antioxidants and total nonenzymatic antioxidant capacity (NEAC) is associated with a lower risk of Parkinson disease (PD) in men and women, we prospectively studied 43,865 men and women from a large Swedish cohort. METHODS In the Swedish National March Cohort, 43,865 men and women aged 18-94 years were followed through record linkages to National Health Registries from 1997 until 2016. Baseline dietary vitamin E, vitamin C, and beta-carotene intake, as well as NEAC, were assessed by a validated food frequency questionnaire collected at baseline. All exposure variables were adjusted for energy intake and categorized into tertiles. Multivariable Cox proportional hazard regression models were fitted to estimate hazard ratios (HRs) with 95% confidence intervals (CIs) for PD. RESULTS After a mean follow-up time of 17.6 years, we detected 465 incidence cases of PD. In the multivariable adjusted model, dietary vitamin E (HR 0.68, 95% CI 0.52-0.90; p for trend 0.005) and vitamin C (HR 0.68, 95% CI 0.52-0.89; p for trend 0.004) were inversely associated with the risk of PD when comparing participants in the highest vs the lowest tertiles of exposure. No association was found with estimated intake of dietary beta-carotene or NEAC. CONCLUSION Our findings suggest that dietary vitamin E and C intake might be inversely associated with the risk of PD. No association was found with dietary beta-carotene or NEAC. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that dietary vitamin E and C intake are inversely associated with the risk of PD.
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Affiliation(s)
- Essi Hantikainen
- From the Department of Statistics and Quantitative Methods (E.H., R.B.), University of Milano-Bicocca, Milan; Institute for Biomedicine, Eurac Research (E.H.), Affiliated Institute of the University of Lübeck, Bolzano, Italy; Clinical Epidemiology Division, Department of Medicine (Solna) (Y.T.L., S.B.), and Department of Medical Epidemiology and Biostatistics (W.Y., H.-O.A., R.B.), Karolinska Institutet, Stockholm; Obesity Center, Academic Specialist Center (Y.T.L.), Stockholm Health Services, Sweden; Functional Food and Metabolic Stress Prevention Laboratory, Faculty of BioSciences and Technology for Food, Agriculture and Environment (M.S.), University of Teramo, Italy; and Clinical Effectiveness Research Group, Institute of Health (H.-O.A.), University of Oslo, Norway.
| | - Ylva Trolle Lagerros
- From the Department of Statistics and Quantitative Methods (E.H., R.B.), University of Milano-Bicocca, Milan; Institute for Biomedicine, Eurac Research (E.H.), Affiliated Institute of the University of Lübeck, Bolzano, Italy; Clinical Epidemiology Division, Department of Medicine (Solna) (Y.T.L., S.B.), and Department of Medical Epidemiology and Biostatistics (W.Y., H.-O.A., R.B.), Karolinska Institutet, Stockholm; Obesity Center, Academic Specialist Center (Y.T.L.), Stockholm Health Services, Sweden; Functional Food and Metabolic Stress Prevention Laboratory, Faculty of BioSciences and Technology for Food, Agriculture and Environment (M.S.), University of Teramo, Italy; and Clinical Effectiveness Research Group, Institute of Health (H.-O.A.), University of Oslo, Norway
| | - Weimin Ye
- From the Department of Statistics and Quantitative Methods (E.H., R.B.), University of Milano-Bicocca, Milan; Institute for Biomedicine, Eurac Research (E.H.), Affiliated Institute of the University of Lübeck, Bolzano, Italy; Clinical Epidemiology Division, Department of Medicine (Solna) (Y.T.L., S.B.), and Department of Medical Epidemiology and Biostatistics (W.Y., H.-O.A., R.B.), Karolinska Institutet, Stockholm; Obesity Center, Academic Specialist Center (Y.T.L.), Stockholm Health Services, Sweden; Functional Food and Metabolic Stress Prevention Laboratory, Faculty of BioSciences and Technology for Food, Agriculture and Environment (M.S.), University of Teramo, Italy; and Clinical Effectiveness Research Group, Institute of Health (H.-O.A.), University of Oslo, Norway
| | - Mauro Serafini
- From the Department of Statistics and Quantitative Methods (E.H., R.B.), University of Milano-Bicocca, Milan; Institute for Biomedicine, Eurac Research (E.H.), Affiliated Institute of the University of Lübeck, Bolzano, Italy; Clinical Epidemiology Division, Department of Medicine (Solna) (Y.T.L., S.B.), and Department of Medical Epidemiology and Biostatistics (W.Y., H.-O.A., R.B.), Karolinska Institutet, Stockholm; Obesity Center, Academic Specialist Center (Y.T.L.), Stockholm Health Services, Sweden; Functional Food and Metabolic Stress Prevention Laboratory, Faculty of BioSciences and Technology for Food, Agriculture and Environment (M.S.), University of Teramo, Italy; and Clinical Effectiveness Research Group, Institute of Health (H.-O.A.), University of Oslo, Norway
| | - Hans-Olov Adami
- From the Department of Statistics and Quantitative Methods (E.H., R.B.), University of Milano-Bicocca, Milan; Institute for Biomedicine, Eurac Research (E.H.), Affiliated Institute of the University of Lübeck, Bolzano, Italy; Clinical Epidemiology Division, Department of Medicine (Solna) (Y.T.L., S.B.), and Department of Medical Epidemiology and Biostatistics (W.Y., H.-O.A., R.B.), Karolinska Institutet, Stockholm; Obesity Center, Academic Specialist Center (Y.T.L.), Stockholm Health Services, Sweden; Functional Food and Metabolic Stress Prevention Laboratory, Faculty of BioSciences and Technology for Food, Agriculture and Environment (M.S.), University of Teramo, Italy; and Clinical Effectiveness Research Group, Institute of Health (H.-O.A.), University of Oslo, Norway
| | - Rino Bellocco
- From the Department of Statistics and Quantitative Methods (E.H., R.B.), University of Milano-Bicocca, Milan; Institute for Biomedicine, Eurac Research (E.H.), Affiliated Institute of the University of Lübeck, Bolzano, Italy; Clinical Epidemiology Division, Department of Medicine (Solna) (Y.T.L., S.B.), and Department of Medical Epidemiology and Biostatistics (W.Y., H.-O.A., R.B.), Karolinska Institutet, Stockholm; Obesity Center, Academic Specialist Center (Y.T.L.), Stockholm Health Services, Sweden; Functional Food and Metabolic Stress Prevention Laboratory, Faculty of BioSciences and Technology for Food, Agriculture and Environment (M.S.), University of Teramo, Italy; and Clinical Effectiveness Research Group, Institute of Health (H.-O.A.), University of Oslo, Norway
| | - Stephanie Bonn
- From the Department of Statistics and Quantitative Methods (E.H., R.B.), University of Milano-Bicocca, Milan; Institute for Biomedicine, Eurac Research (E.H.), Affiliated Institute of the University of Lübeck, Bolzano, Italy; Clinical Epidemiology Division, Department of Medicine (Solna) (Y.T.L., S.B.), and Department of Medical Epidemiology and Biostatistics (W.Y., H.-O.A., R.B.), Karolinska Institutet, Stockholm; Obesity Center, Academic Specialist Center (Y.T.L.), Stockholm Health Services, Sweden; Functional Food and Metabolic Stress Prevention Laboratory, Faculty of BioSciences and Technology for Food, Agriculture and Environment (M.S.), University of Teramo, Italy; and Clinical Effectiveness Research Group, Institute of Health (H.-O.A.), University of Oslo, Norway
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Schedin A, Goodrose-Flores C, Bonn S, Björkhem-Bergman L. Catheter-related bloodstream infections in palliative care patients receiving parenteral nutrition by medical home care. BMJ Support Palliat Care 2020:bmjspcare-2020-002331. [PMID: 32943471 DOI: 10.1136/bmjspcare-2020-002331] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 06/30/2020] [Accepted: 08/19/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Catheter-related bloodstream infections (CRBSIs) constitute a major complication associated with the use of central venous lines (CVL). The aim of this study was to investigate the incidence proportion and risk factors of CRSBI in palliative care patients with CVL receiving home parenteral nutrition (HPN). METHODS Medical records from patients admitted to a medical home care unit in stockholm, Sweden, during 2017 were reviewed (n=1022) and 454 palliative care patients with a CVL were identified. Data on CRBSI cases, HPN exposure time, type of parenteral nutrition (PN), age, diagnosis and type of CVL were collected. RESULTS Twenty-nine of 143 patients receiving HPN through a CVL were diagnosed with a CRBSI (20%). Nine of 311 patients with CVL without exposure for HPN developed CRBSI (3%). The risk of a CRBSI was significantly higher in patients receiving HPN compared with those not receiving HPN, OR 8.5 (95% CI 4.0 to 18.7). For those receiving HPN six to seven times a week the risk was even higher, OR 13 (95% CI 5.1 to 30.3). The highest incidence proportion of CRBSI (31%) was found in a home care team where patients had been trained to disconnect themselves from the PN drip. Sex, cancer versus non-cancer, type of CVL or protein content in the PN, did not differ between patients that developed CRBSI versus those that did not develop the outcome. CONCLUSION HPN entails a high risk of CRBSI. A high frequency of PN and incautious handling of the disconnection of the drip, seem to be the most important risk factors.
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Affiliation(s)
- Anna Schedin
- Palliative Home Care and Hospice Ward, ASIH Stockholm Södra, Älvsjö, Sweden
| | - Charlotte Goodrose-Flores
- Department of Medicine Solna, Clinical Epidemiology Division, Karolinska Institutet, Stockholm, Stockholm County, Sweden
| | - Stephanie Bonn
- Department of Medicine Solna, Clinical Epidemiology Division, Karolinska Institutet, Stockholm, Stockholm County, Sweden
| | - Linda Björkhem-Bergman
- Palliative Home Care and Hospice Ward, Stockholms Sjukhem, Stockholm, Sweden
- Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Huddinge, Sweden
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Goodrose-Flores C, Schedin A, Nelander J, Almerud A, Trolle-Lagerros Y, Bonn S, Björkhem-Bergman L. High-protein compared with standard parenteral nutrition in palliative cancer care. BMJ Support Palliat Care 2020; 12:332-338. [DOI: 10.1136/bmjspcare-2019-002139] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 03/27/2020] [Accepted: 05/02/2020] [Indexed: 12/24/2022]
Abstract
ObjectivesHigh-protein parenteral nutrition (PN) has been developed to counteract muscle loss in patients with cancer treated with PN. Nevertheless, it is not clear if high-protein PN is as safe as standard PN in patients with palliative cancer. Our primary aim was to compare the proportion of patients with elevated liver enzymes between high-protein and standard PN in patients with palliative cancer enrolled to Medical Home Care. Our secondary aim was to compare the two treatments with regard to weight and albumin levels during treatment.MethodsMedical records from 2016 to 2018 were retrospectively reviewed to identify palliative cancer patients that had received PN for more than 3 weeks. Data on weight, height, albumin, liver enzymes, socioeconomic factors and dietitian consultations were collected at baseline and after 3–8 weeks of PN treatment. The odds of having elevated liver enzymes or having a maintained weight and/or stable albumin levels were calculated using logistic regression.Results20 patients treated with high-protein PN were compared with 104 patients treated with standard PN. Patients treated with high-protein PN had a significantly higher weight at follow-up compared with patients treated with standard PN (p<0.05). There was no significant difference in the proportion of patients with elevated liver enzymes (OR 0.20; 95% CI 0.02 to 1.86), or maintained weight and/or albumin levels (OR 1.62; 95% CI 0.46 to 5.76) between high-protein and standard PN.ConclusionHigh-protein PN was as safe, and at least as effective, as standard PN to patients with palliative cancer.
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Keihani S, Kluever V, Mandad S, Bansal V, Rahman R, Fritsch E, Gomes LC, Gärtner A, Kügler S, Urlaub H, Wren JD, Bonn S, Rizzoli SO, Fornasiero EF. The long noncoding RNA neuroLNC regulates presynaptic activity by interacting with the neurodegeneration-associated protein TDP-43. Sci Adv 2019; 5:eaay2670. [PMID: 31897430 PMCID: PMC6920028 DOI: 10.1126/sciadv.aay2670] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Accepted: 10/23/2019] [Indexed: 05/26/2023]
Abstract
The cellular and the molecular mechanisms by which long noncoding RNAs (lncRNAs) may regulate presynaptic function and neuronal activity are largely unexplored. Here, we established an integrated screening strategy to discover lncRNAs implicated in neurotransmitter and synaptic vesicle release. With this approach, we identified neuroLNC, a neuron-specific nuclear lncRNA conserved from rodents to humans. NeuroLNC is tuned by synaptic activity and influences several other essential aspects of neuronal development including calcium influx, neuritogenesis, and neuronal migration in vivo. We defined the molecular interactors of neuroLNC in detail using chromatin isolation by RNA purification, RNA interactome analysis, and protein mass spectrometry. We found that the effects of neuroLNC on synaptic vesicle release require interaction with the RNA-binding protein TDP-43 (TAR DNA binding protein-43) and the selective stabilization of mRNAs encoding for presynaptic proteins. These results provide the first proof of an lncRNA that orchestrates neuronal excitability by influencing presynaptic function.
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Affiliation(s)
- S. Keihani
- Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, Excellence Cluster Multiscale Bioimaging, 37073 Göttingen, Germany
| | - V. Kluever
- Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, Excellence Cluster Multiscale Bioimaging, 37073 Göttingen, Germany
| | - S. Mandad
- Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, Excellence Cluster Multiscale Bioimaging, 37073 Göttingen, Germany
- Department of Clinical Chemistry, University Medical Center Göttingen, 37077 Göttingen, Germany
| | - V. Bansal
- Institute of Medical Systems Biology, Center for Molecular Neurobiology (ZMNH), UKE, 20246 Hamburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), 72076 Tübingen, Germany
| | - R. Rahman
- Institute of Medical Systems Biology, Center for Molecular Neurobiology (ZMNH), UKE, 20246 Hamburg, Germany
| | - E. Fritsch
- Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, Excellence Cluster Multiscale Bioimaging, 37073 Göttingen, Germany
| | - L. Caldi Gomes
- Department of Neurology, University Medical Center Göttingen, 37073 Göttingen, Germany
- Center for Biostructural Imaging of Neurodegeneration (BIN), 37075 Göttingen, Germany
| | - A. Gärtner
- VIB Center for the Biology of Disease and Center for Human Genetics, KU Leuven, Leuven, Belgium
| | - S. Kügler
- Department of Neurology, University Medical Center Göttingen, 37073 Göttingen, Germany
| | - H. Urlaub
- Department of Clinical Chemistry, University Medical Center Göttingen, 37077 Göttingen, Germany
- Bioanalytical Mass Spectrometry Group, Max Planck Institute of Biophysical Chemistry, 37077 Göttingen, Germany
| | - J. D. Wren
- Department of Genes and Human Disease, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - S. Bonn
- Institute of Medical Systems Biology, Center for Molecular Neurobiology (ZMNH), UKE, 20246 Hamburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), 72076 Tübingen, Germany
| | - S. O. Rizzoli
- Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, Excellence Cluster Multiscale Bioimaging, 37073 Göttingen, Germany
- Center for Biostructural Imaging of Neurodegeneration (BIN), 37075 Göttingen, Germany
| | - E. F. Fornasiero
- Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, Excellence Cluster Multiscale Bioimaging, 37073 Göttingen, Germany
- Center for Biostructural Imaging of Neurodegeneration (BIN), 37075 Göttingen, Germany
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11
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Bansal V, Mitjans M, Burik CAP, Linnér RK, Okbay A, Rietveld CA, Begemann M, Bonn S, Ripke S, de Vlaming R, Nivard MG, Ehrenreich H, Koellinger PD. Genome-wide association study results for educational attainment aid in identifying genetic heterogeneity of schizophrenia. Nat Commun 2018; 9:3078. [PMID: 30082721 PMCID: PMC6079028 DOI: 10.1038/s41467-018-05510-z] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Accepted: 07/09/2018] [Indexed: 01/03/2023] Open
Abstract
Higher educational attainment (EA) is negatively associated with schizophrenia (SZ). However, recent studies found a positive genetic correlation between EA and SZ. We investigate possible causes of this counterintuitive finding using genome-wide association study results for EA and SZ (N = 443,581) and a replication cohort (1169 controls; 1067 cases) with deeply phenotyped SZ patients. We find strong genetic dependence between EA and SZ that cannot be explained by chance, linkage disequilibrium, or assortative mating. Instead, several genes seem to have pleiotropic effects on EA and SZ, but without a clear pattern of sign concordance. Using EA as a proxy phenotype, we isolate FOXO6 and SLITRK1 as novel candidate genes for SZ. Our results reveal that current SZ diagnoses aggregate over at least two disease subtypes: one part resembles high intelligence and bipolar disorder (BIP), while the other part is a cognitive disorder that is independent of BIP.
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Affiliation(s)
- V Bansal
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Hermann-Rein-Straße 3, 37075, Göttingen, Germany
- Research Group for Computational Systems Biology, German Center for Neurodegenerative Diseases (DZNE), Von-Siebold-Straße 3A, 37075, Göttingen, Germany
- Institute of Medical Systems Biology, Center for Molecular Neurobiology, University Clinic Hamburg-Eppendorf, Falkenried 94, 20251, Hamburg, Germany
| | - M Mitjans
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Hermann-Rein-Straße 3, 37075, Göttingen, Germany
- DFG Research Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), Humboldtallee 23, 30703, Göttingen, Germany
| | - C A P Burik
- Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1085 B-631, 1081 HV, Amsterdam, Netherlands
- Institute for Behavior and Biology, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, Netherlands
- School of Business and Economics, Department of Economics, De Boelelaan 1105, 1081 HV, Amsterdam, Netherlands
| | - R K Linnér
- Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1085 B-631, 1081 HV, Amsterdam, Netherlands
- Institute for Behavior and Biology, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, Netherlands
- School of Business and Economics, Department of Economics, De Boelelaan 1105, 1081 HV, Amsterdam, Netherlands
| | - A Okbay
- Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1085 B-631, 1081 HV, Amsterdam, Netherlands
- School of Business and Economics, Department of Economics, De Boelelaan 1105, 1081 HV, Amsterdam, Netherlands
| | - C A Rietveld
- Institute for Behavior and Biology, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, Netherlands
- Erasmus School of Economics, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, Netherlands
| | - M Begemann
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Hermann-Rein-Straße 3, 37075, Göttingen, Germany
- Department of Psychiatry & Psychotherapy, University of Göttingen, Von-Siebold-Straße 5, 37075, Göttingen, Germany
| | - S Bonn
- Research Group for Computational Systems Biology, German Center for Neurodegenerative Diseases (DZNE), Von-Siebold-Straße 3A, 37075, Göttingen, Germany
- Institute of Medical Systems Biology, Center for Molecular Neurobiology, University Clinic Hamburg-Eppendorf, Falkenried 94, 20251, Hamburg, Germany
| | - S Ripke
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, 02114 MA, Boston, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, 02142 MA, Cambridge, USA
- Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Campus Mitte, Berlin, 10117, Germany
| | - R de Vlaming
- Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1085 B-631, 1081 HV, Amsterdam, Netherlands
- School of Business and Economics, Department of Economics, De Boelelaan 1105, 1081 HV, Amsterdam, Netherlands
| | - M G Nivard
- Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 1, 1081 BT, Amsterdam, Netherlands
| | - H Ehrenreich
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Hermann-Rein-Straße 3, 37075, Göttingen, Germany
- DFG Research Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), Humboldtallee 23, 30703, Göttingen, Germany
| | - P D Koellinger
- Complex Trait Genetics, Vrije Universiteit Amsterdam, De Boelelaan 1085 B-631, 1081 HV, Amsterdam, Netherlands.
- Institute for Behavior and Biology, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, Netherlands.
- School of Business and Economics, Department of Economics, De Boelelaan 1105, 1081 HV, Amsterdam, Netherlands.
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12
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Fledrich R, Abdelaal T, Rasch L, Bansal V, Schütza V, Brügger B, Lüchtenborg C, Prukop T, Stenzel J, Rahman RU, Hermes D, Ewers D, Möbius W, Ruhwedel T, Katona I, Weis J, Klein D, Martini R, Brück W, Müller WC, Bonn S, Bechmann I, Nave KA, Stassart RM, Sereda MW. Targeting myelin lipid metabolism as a potential therapeutic strategy in a model of CMT1A neuropathy. Nat Commun 2018; 9:3025. [PMID: 30072689 PMCID: PMC6072747 DOI: 10.1038/s41467-018-05420-0] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Accepted: 06/28/2018] [Indexed: 01/17/2023] Open
Abstract
In patients with Charcot-Marie-Tooth disease 1A (CMT1A), peripheral nerves display aberrant myelination during postnatal development, followed by slowly progressive demyelination and axonal loss during adult life. Here, we show that myelinating Schwann cells in a rat model of CMT1A exhibit a developmental defect that includes reduced transcription of genes required for myelin lipid biosynthesis. Consequently, lipid incorporation into myelin is reduced, leading to an overall distorted stoichiometry of myelin proteins and lipids with ultrastructural changes of the myelin sheath. Substitution of phosphatidylcholine and phosphatidylethanolamine in the diet is sufficient to overcome the myelination deficit of affected Schwann cells in vivo. This treatment rescues the number of myelinated axons in the peripheral nerves of the CMT rats and leads to a marked amelioration of neuropathic symptoms. We propose that lipid supplementation is an easily translatable potential therapeutic approach in CMT1A and possibly other dysmyelinating neuropathies.
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Affiliation(s)
- R Fledrich
- Department of Neurogenetics, Max-Planck-Institute of Experimental Medicine, Göttingen, 37075, Germany.
- Institute of Anatomy, University of Leipzig, Leipzig, 04103, Germany.
- Department of Neuropathology, University Hospital Leipzig, Leipzig, 04103, Germany.
| | - T Abdelaal
- Department of Neurogenetics, Max-Planck-Institute of Experimental Medicine, Göttingen, 37075, Germany
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, 37075, Germany
- Chemistry of Natural and Microbial Products Department, Pharmaceutical and Drug Industries Division, National Research Centre, Giza, 12622, Egypt
| | - L Rasch
- Department of Neurogenetics, Max-Planck-Institute of Experimental Medicine, Göttingen, 37075, Germany
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, 37075, Germany
| | - V Bansal
- Center for Molecular Neurobiology, Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, 20251, Germany
| | - V Schütza
- Department of Neurogenetics, Max-Planck-Institute of Experimental Medicine, Göttingen, 37075, Germany
- Department of Neuropathology, University Hospital Leipzig, Leipzig, 04103, Germany
| | - B Brügger
- Heidelberg University Biochemistry Center (BZH), Heidelberg, 69120, Germany
| | - C Lüchtenborg
- Heidelberg University Biochemistry Center (BZH), Heidelberg, 69120, Germany
| | - T Prukop
- Department of Neurogenetics, Max-Planck-Institute of Experimental Medicine, Göttingen, 37075, Germany
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, 37075, Germany
- Institute of Clinical Pharmacology, University Medical Center Göttingen, Göttingen, 37075, Germany
| | - J Stenzel
- Department of Neurogenetics, Max-Planck-Institute of Experimental Medicine, Göttingen, 37075, Germany
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, 37075, Germany
| | - R U Rahman
- Center for Molecular Neurobiology, Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, 20251, Germany
| | - D Hermes
- Department of Neurogenetics, Max-Planck-Institute of Experimental Medicine, Göttingen, 37075, Germany
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, 37075, Germany
| | - D Ewers
- Department of Neurogenetics, Max-Planck-Institute of Experimental Medicine, Göttingen, 37075, Germany
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, 37075, Germany
| | - W Möbius
- Department of Neurogenetics, Max-Planck-Institute of Experimental Medicine, Göttingen, 37075, Germany
- Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), Göttingen, 37075, Germany
| | - T Ruhwedel
- Department of Neurogenetics, Max-Planck-Institute of Experimental Medicine, Göttingen, 37075, Germany
| | - I Katona
- Institute of Neuropathology, University Hospital Aachen, Aachen, 52074, Germany
| | - J Weis
- Institute of Neuropathology, University Hospital Aachen, Aachen, 52074, Germany
| | - D Klein
- Department of Neurology, Section of Developmental Neurobiology, University Hospital Wuerzburg, Wuerzburg, 97080, Germany
| | - R Martini
- Department of Neurology, Section of Developmental Neurobiology, University Hospital Wuerzburg, Wuerzburg, 97080, Germany
| | - W Brück
- Institute of Neuropathology, University Medical Center Göttingen, Göttingen, 37075, Germany
| | - W C Müller
- Department of Neuropathology, University Hospital Leipzig, Leipzig, 04103, Germany
| | - S Bonn
- Center for Molecular Neurobiology, Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf, Hamburg, 20251, Germany
- German Center for Neurodegenerative Diseases, Tübingen, 72076, Germany
| | - I Bechmann
- Institute of Anatomy, University of Leipzig, Leipzig, 04103, Germany
| | - K A Nave
- Department of Neurogenetics, Max-Planck-Institute of Experimental Medicine, Göttingen, 37075, Germany.
| | - R M Stassart
- Department of Neurogenetics, Max-Planck-Institute of Experimental Medicine, Göttingen, 37075, Germany.
- Department of Neuropathology, University Hospital Leipzig, Leipzig, 04103, Germany.
- Institute of Neuropathology, University Medical Center Göttingen, Göttingen, 37075, Germany.
| | - M W Sereda
- Department of Neurogenetics, Max-Planck-Institute of Experimental Medicine, Göttingen, 37075, Germany.
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, 37075, Germany.
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Nemajerova A, Kramer D, Siller S, Herr C, Shomroni O, Pena T, Gallinas Suazo C, Glaser K, Wildung M, Steffen H, Sriraman A, Oberle F, Wienken M, Hennion M, Vidal R, Royen B, Alevra M, Schild D, Bals R, Dönitz J, Riedel D, Bonn S, Takemaru KI, Moll U, Lizé M. TAp73 is a central transcriptional regulator of airway multiciliogenesis and protects bronchial function. Pneumologie 2016. [DOI: 10.1055/s-0036-1592291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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14
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Abstract
Between September 1998 and May 1999, 498 patients underwent laparoscopic cholecystectomy. Of these, 301 patients were electively scheduled cases. Two hundred and sixty-seven patients (58.4%) patients were operated on with the standard laparoscopic technique (LC) and 34 (6.8%) with a new microinvasive technique (MLC) using self-developed 2-mm instruments. The technique of this microinvasive method is introduced and the first results are reported. These results encourage us to recommend our new method for selected cases.
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Affiliation(s)
- U Steinhilper
- Klinik für Allgemein-, Visceral-, Unfall- und Gefässchirurgie, Kreiskrankenhaus München-Pasing, Akademisches Lehrkrankenhaus der Technischen Universität München.
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16
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Worbes M, Bonn S, Riemer T. Methoden zur Erfassung von Zuwachsverlusten und mögliche Einflußfaktoren auf das Jahresringbild von Bäumen in geschädigten Waldbeständen. ACTA ACUST UNITED AC 1995. [DOI: 10.1007/bf02742236] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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