Synergy-COPD: A systems approach for understanding and managing chronic diseases

Journal of Translational Medicine

Volumn 12, Issue , 2014, Pages

  Gomez Cabrero, David ^a   Lluch Ariet, Magi ^b   Tegnér, Jesper ^a   Cascante, Marta ^c   Miralles, Felip ^b   Roca, Josep ^c,d  

^a KAROLINSKA UNIVERSITY HOSPITAL   (Sweden)

^b Barcelona Digital ^*  (Spain)

^c UNIVERSITY OF BARCELONA   (Spain)

^d INSTITUTO DE SALUD CARLOS III   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIOMEDICAL TECHNOLOGY ASSESSMENT; CHRONIC DISEASE; CHRONIC OBSTRUCTIVE LUNG DISEASE; CLUSTER ANALYSIS; COMORBIDITY; COMPUTER AIDED DESIGN; COMPUTER MODEL; COMPUTER NETWORK; COMPUTER PREDICTION; COMPUTER SIMULATION; COMPUTER SYSTEM; COST EFFECTIVENESS ANALYSIS; DISEASE COURSE; HEALTH CARE PLANNING; HEALTH PROGRAM; INTEGRATED HEALTH CARE SYSTEM; KNOWLEDGE BASE; MEDICAL INFORMATION SYSTEM; MEDICAL RESEARCH; OUTCOME ASSESSMENT; PROCESS DESIGN; PROCESS MONITORING; SYSTEM ANALYSIS; THEORY VALIDATION; THEORY-PRACTICE RELATIONSHIP; VALIDATION PROCESS; DECISION SUPPORT SYSTEM; ELECTRONIC MEDICAL RECORD; HEALTH CARE DELIVERY; HUMAN; NONBIOLOGICAL MODEL; PATHOPHYSIOLOGY; PROCEDURES; PROGRAM DEVELOPMENT; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; SKELETAL MUSCLE; TELEMEDICINE;

CHRONIC DISEASE; COMORBIDITY; COMPUTER SIMULATION; DECISION SUPPORT SYSTEMS, CLINICAL; DELIVERY OF HEALTH CARE; ELECTRONIC HEALTH RECORDS; HUMANS; MODELS, ORGANIZATIONAL; MUSCLE, SKELETAL; PROGRAM DEVELOPMENT; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; TELEMEDICINE;

EID: 84935013083     PISSN: None     EISSN: 14795876     Source Type: Journal    
DOI: 10.1186/1479-5876-12-S2-S2     Document Type: Article

References (85)

1. Murray CJ, Lopez AD: Mortality by cause for eight regions of the world: Global Burden of Disease Study. Lancet 1997, 349:1269-1276.
2. Murray CJ, Lopez AD: Regional patterns of disability-free life expectancy and disability-adjusted life expectancy: global Burden of Disease Study. Lancet 1997, 349:1347-1352.
3. Murray CJ, Lopez AD: Measuring the global burden of disease. N Engl J Med 2013, 369:448-457.
4. UN: Prevention and control of non-communicable disease. New York: United Nations;[http://www.who.int/mediacentre/news/notes/2010/ noncommunicable_diseases_20100514/en/.].
5. Action Plan for Global Strategy for the Prevention and Control of Noncommunicable Diseases. World Health Organization;[http://www.who. int/nmh/publications/9789241597418/en/.].
6. Charlson MEP, Ales P, MacKenzie KL, Ronald C: A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. Journal of Chronic Diseases 1987, 40:373-383.
7. Menendez ME, Neuhaus V, van Dijk CN, Ring D: The Elixhauser Comorbidity Method Outperforms the Charlson Index in Predicting Inpatient Death After Orthopaedic Surgery. Clin Orthop Relat Res 2014, 28:28.
8. Ng SK, Holden L, Sun J: Identifying comorbidity patterns of health conditions via cluster analysis of pairwise concordance statistics. Stat Med 2012, 31:3393-3405.
9. Rogliani P, Calzetta L, Segreti A, Barrile A, Cazzola M: Diabetes mellitus among outpatients with COPD attending a university hospital. Acta Diabetol 2014, 13:13.
10. Epping-Jordan JE, Galea G, Tukuitonga C, Beaglehole R: Preventing chronic diseases: taking stepwise action. The Lancet 2005, 366:1667-1671.
11. Epping-Jordan JE, Pruitt SD, Bengoa R, Wagner EH: Improving the quality of health care for chronic conditions. Quality & safety in health care 2004, 13:299-305.
12. Pruitt S, Canny J, Epping-Jordan JA: Preparing A Health Care Workforce For The 21st Century: The Challenge Of Chronic Conditions. World Health Organization, Noncommunicable Diseases and Mental Health Cluster, Chronic Diseases and Health Promotion Department; 2005.
13. Barabasi AL, Gulbahce N, Loscalzo J: Network medicine: a network-based approach to human disease. Nat Rev Genet 2011, 12:56-68.
14. Barabási AL: Network medicine-from obesity to the "diseasome". The New England journal of medicine 2007, 357:404-407.
15. Licastro F, Caruso C: Predictive diagnostics and personalized medicine for the prevention of chronic degenerative diseases. Immun Ageing 2010, 16:1742-4933.
16. Evangelista D, Colonna G, Miele M, Cutugno F, Castello G, Desantis S, Costantini S: CDMS (Clinical Data Mining Software): a cytokinome data mining system for a predictive medicine of chronic inflammatory diseases. Protein Eng Des Sel 2010, 23:899-902.
17. Vestbo J, Hurd SS, Agusti AG, Jones PW, Vogelmeier C, Anzueto A, Barnes PJ, Fabbri LM, Martinez FJ, Nishimura M, Stockley RA, Sin DD, Rodriguez-Roisin R: Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. American journal of respiratory and critical care medicine 2013, 187:347-365.
18. Vestbo J, Agusti A, Wouters EF, Bakke P, Calverley PM, Celli B, Coxson H, Crim C, Edwards LD, Locantore N, Lomas DA, Macnee W, Miller B, Rennard SI, Silverman EK, Yates JC, Tal-Singer R. on behalf of the ECLIPSE Study Investigators: Should We View Chronic Obstructive Pulmonary Disease Differently after ECLIPSE?. A Clinical Perspective from the Study Team. Am J Respir Crit Care Med 2014, 189:1022-1030.
19. Sinden NJ, Stockley RA: Systemic inflammation and comorbidity in COPD: a result of 'overspill' of inflammatory mediators from the lungs? Review of the evidence. Thorax 2010, 65:930-936.
20. NEXES: Supporting Healthier and Independent Living for Chronic Patients and Elderly (CIP-ICT-PSP-2007-225025). [http://www.nexeshealth. eu/].
21. Nexes: Final workshop web page and video recordings. 2012 [http:// www.nexeshealth.eu/videos.html].
22. Barnes PJ, Celli BR: Systemic manifestations and comorbidities of COPD. Eur Respir J 2009, 33:1165-1185.
23. Garcia-Aymerich J, Gómez FP, Benet M, Farrero E, Basagaña X, Gayete À, Paré C, Freixa X, Ferrer J, Ferrer A, Roca J, Gáldiz JB, Sauleda J, Monsó E, Gea J, Barberà JA, Agustí À, Antó JM. PAC-COPD Study Group.: Identification and prospective validation of clinically relevant chronic obstructive pulmonary disease (COPD) subtypes. Thorax 2011, 66:430-437.
24. Agusti A, Edwards LD, Rennard SI, MacNee W, Tal-Singer R, Miller BE, Vestbo J, Lomas DA, Calverley PM, Wouters E, Crim C, Yates JC, Silverman EK, Coxson HO, Bakke P, Mayer RJ, Celli B. Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE) Investigators.: Persistent systemic inflammation is associated with poor clinical outcomes in COPD: a novel phenotype. PloS one 2012, 7:18.
25. Mathur S, Brooks D, Carvalho CR: Structural alterations of skeletal muscle in copd. Front Physiol 2014, 5.
26. Barreiro E, Gea J: Epigenetics and muscle dysfunction in chronic obstructive pulmonary disease. Transl Res 2014.
27. Turan N, Kalko S, Stincone A, Clarke K, Sabah A, Howlett K, Curnow SJ, Rodriguez DA, Cascante M, O'Neill L, Egginton S, Roca J, Falciani F: A Systems Biology Approach Identifies Molecular Networks Defining Skeletal Muscle Abnormalities in Chronic Obstructive Pulmonary Disease. PLoS Comput Biol 2011, 7:e1002129.
28. Hare JM: Nitroso-Redox Balance in the Cardiovascular System. New England Journal of Medicine 2004, 351:2112-2114.
29. Poole DC, Hirai DM, Copp SW, Musch TI: Muscle oxygen transport and utilization in heart failure: implications for exercise (in)tolerance. American journal of physiology Heart and circulatory physiology 2012, 302:18.
30. Ratoi, Adina: Brief introduction to Synergy-COPD. Journal of Translational Medicine 2014, 12(Suppl 2):S1.
31. Josep Roca, Claudia Vargas, Isaac Cano, Vitaly Selivanov, Esther Barreiro, Dieter Maier, Francesco Falciani, Peter Wagner, Marta Cascante, Judith Garcia-Aymerich, Susana Kalko, Igor Marin, Jesper Tegner, Joan Escarrabill, Alvar Agustí, David Gomez-Cabrero. the Synergy-COPD consortium: Chronic Obstructive Pulmonary Disease Heterogeneity. Challenges for Health Risk Assessment, Stratification and Management. Journal of Translational Medicine 2014, 12(Suppl 2):S3.
32. David Gomez-Cabrero, Jörg Menche, Isaac Cano, Imad Abugessaisa, Mercedes Huertas-Migueláñez, Akos Tenyi, Igor Marin de Mas, Narsis Kiani, Francesco Marabita, Francesco Falciani, Kelly Burrowes, Dieter Maier, Peter Wagner, Vitaly Selivanov, Marta Cascante, Josep Roca, Albert-László Barabási, Jesper Tegnér: Systems Medicine: from molecular features and models to the clinic in COPD. Journal of Translational Medicine 2014, 12(Suppl 2):S4.
33. Burrowes Kelly S, Doel T, Brightling C: Computational modeling of the obstructive lung diseases asthma and COPD. Journal of Translational Medicine 2014, 12(Suppl 2):S5.
34. Isaac Cano, Ákos Tényi, Christine Schueller, Martin Wolff, Mercedes Huertas Migueláñez M, David Gomez-Cabrero, Philipp Antczak, Josep Roca, Marta Cascante, Francesco Falicani, Dieter Maier: The COPD Knowledge Base: enabling data analysis and computational simulation in translational COPD research. Journal of Translational Medicine 2014, 12(Suppl 2):S6.
35. Mercedes Huertas Migueláñez M, Daniel Mora, Isaac Cano, Dieter Maier, David Gomez-Cabrero, Magi Lluch-Ariet, Felip Miralles: Simulation Environment and Graphical Visualization Environment: a COPD use-case. Journal of Translational Medicine 2014, 12(Suppl 2):S7.
36. Filip Velickovski, Luigi Ceccaroni, Josep Roca, Felip Burgos, Galdiz Juan B, Marina Nueria, Magi Lluch-Ariet: Clinical Decision Support Systems (CDSS) for preventive management of COPD patients. Journal of Translational Medicine 2014, 12(Suppl 2):S9.
37. Isaac Cano, Magi Lluch-Ariet, David Gomez-Cabrero, Dieter Maier, Kalko Susana G, Marta Cascante Marta, Jesper Tégner, Felip Miralles, Daniel Herrera, Josep Roca. the Synergy-COPD consortium: Biomedical Research in a Digital Health Framework. Journal of Translational Medicine 2014, 12(Suppl 2):S10.
38. Magi Lluch-Ariet, Albert Brugués de la Torre, Francesc Vallverdu, Josep Pegueroles-Valles: Knowledge sharing in the health scenario. Journal of Translational Medicine 2014, 12(Suppl 2):S8.
39. Marta Cascante, de Atauri P, David Gomez-Cabrero, Peter Wagner, Centelles JJ, Marin S, Isaac Cano, Felip Velickovski, Igor Marin de Mas, Dieter Maier, Josep Roca, Philippe Sabatier: Workforce preparation: The Biohealth Computing Model for Master and PhD students. Journal of Translational Medicine 2014, 12(Suppl 2):S11.
40. Felip Miralles, David Gomez-Cabrero, Magi Lluch-Ariet, Jesper Tegnér, Marta Cascante, Josep Roca. the Synergy-COPD consortium: Predictive Medicine: Outcomes, Challenges and Opportunities in the Synergy-COPD project. Journal of Translational Medicine 2014, 12(Suppl 2):S12.
41. Auffray C, Charron D, Hood L: Predictive, preventive, personalized and participatory medicine: back to the future. Genome Medicine 2010, 2:57.
42. Hood L, Friend SH: Predictive, personalized, preventive, participatory (P4) cancer medicine. Nat Rev Clin Oncol 2011, 8:184-187.
43. Hood L, Auffray C: Participatory medicine: a driving force for revolutionizing healthcare. Genome Med 2013, 5.
44. Maltais F, Decramer M, Casaburi R, Barreiro E, Burelle Y, Debigare R, Dekhuijzen PN, Franssen F, Gayan-Ramirez G, Gea J, Gosker HR, Gosselink R, Hayot M, Hussain SN, Janssens W, Polkey MI, Roca J, Saey D, Schols AM, Spruit MA, Steiner M, Taivassalo T, Troosters T, Vogiatzis I, Wagner PD. ATS/ ERS Ad Hoc Committee on Limb Muscle Dysfunction in COPD: An Official American Thoracic Society/European Respiratory Society Statement: Update on Limb Muscle Dysfunction in Chronic Obstructive Pulmonary Disease. American journal of respiratory and critical care medicine 2014, 189: e15-e62.
45. Vanfleteren LE, Spruit MA, Groenen M, Gaffron S, van Empel VP, Bruijnzeel PL, Rutten EP, Op't Roodt J, Wouters EF, Franssen FM: Clusters of comorbidities based on validated objective measurements and systemic inflammation in patients with chronic obstructive pulmonary disease. American journal of respiratory and critical care medicine 2013, 187:728-735.
46. Divo M, Cote C, de Torres JP, Casanova C, Marin JM, Pinto-Plata V, Zulueta J, Cabrera C, Zagaceta J, Hunninghake G, Celli B: Comorbidities and risk of mortality in patients with chronic obstructive pulmonary disease. American journal of respiratory and critical care medicine 2012, 186:155-161.
47. Miller J, Edwards LD, Agusti A, Bakke P, Calverley PM, Celli B, Coxson HO, Crim C, Lomas DA, Miller BE, Rennard S, Silverman EK, Tal-Singer R, Vestbo J, Wouters E, Yates JC, Macnee W. Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE) Investigators: Comorbidity, systemic inflammation and outcomes in the ECLIPSE cohort. Respiratory medicine 2013, 107:1376-1384.
48. Fabbri LM, Beghe B, Agusti A: COPD and the solar system: introducing the chronic obstructive pulmonary disease comorbidome. Am J Respir Crit Care Med 2012, 186(2):117-9, Jul 15; doi: 10.1164/rccm.201205-0906ED.
49. Burrowes KS, De Backer J, Smallwood R, Sterk PJ, Gut I, Wirix-Speetjens R, Siddiqui S, Owers-Bradley J, Wild J, Maier D, Brightling C: Multi-scale computational models of the airways to unravel the pathophysiological mechanisms in asthma and chronic obstructive pulmonary disease (AirPROM). Interface Focus 2013, 3.
50. Maier D, Kalus W, Wolff M, Kalko SG, Roca J, Marin de Mas I, Turan N, Cascante M, Falciani F, Hernandez M, Villà-Freixa J, Losko S: Knowledge management for Systems Biology a general and visually driven framework applied to translational medicine. BMC systems biology 2011, 5:38.
51. Franceschini A, Szklarczyk D, Frankild S, Kuhn M, Simonovic M, Roth A, Lin J, Minguez P, Bork P, von Mering C, Jensen LJ: STRING v9.1: protein-protein interaction networks, with increased coverage and integration. Nucleic Acids Res 2013, 41:29.
52. Vidal M, Cusick Michael E, Barabási A-L: Interactome Networks and Human Disease. Cell 2011, 144:986-998.
53. Westerhoff HV, Kelt DB: Matrix method for determining steps most ratelimiting to metabolic fluxes in biotechnological processes 1987. Biotechnol Bioeng 2009, 104:1-9.
54. Westerhoff HV, Winder C, Messiha H, Simeonidis E, Adamczyk M, Verma M, Bruggeman FJ, Dunn W: Systems biology: the elements and principles of life. FEBS Lett 2009, 583:3882-3890.
55. Chen W, Liu M: Research on SOA for hospital information system. Zhongguo Yi Liao Qi Xie Za Zhi 2010, 34:378-380.
56. Cano I, Mickael M, Gomez-Cabrero D, Tegnér J, Roca J, Wagner P: Importance of mitochondrial PO2 in maximal O2 transport and utilization: a theoretical analysis. Resp Physiol and Neurology 2013, 189(3):477-83.
57. Wagner P: A theoretical analysis of factors determining VO2max at sea level and altitude. 1996.
58. Wagner P: Algebraic analysis of the determinants of VO2,max. 1993.
59. Selivanov VA, Votyakova TV, Zeak JA, Trucco M, Roca J, Cascante M: Bistability of Mitochondrial Respiration Underlies Paradoxical Reactive Oxygen Species Generation Induced by Anoxia. PLoS Comput Biol 2009, 5: e1000619.
60. Cano I, Alonso A, Hernandez C, Burgos F, Martinez-Roldan J, Roca J: A Multi-tier ICT Framework to Deploy Integrated Care Services. Submitted to BMC Medical Informatics and Decision Making 2014.
61. Hoops S, Sahle S, Gauges R, Lee C, Pahle J, Simus N, Singhal M, Xu L, Mendes P, Kummer U: COPASI-a COmplex PAthway SImulator. Bioinformatics 2006, 22:3067-3074.
62. Mirams GR, Arthurs CJ, Bernabeu MO, Bordas R, Cooper J, Corrias A, Davit Y, Dunn SJ, Fletcher AG, Harvey DG, Marsh ME, Osborne JM, Pathmanathan P, Pitt-Francis J, Southern J, Zemzemi N, Gavaghan DJ: Chaste: an open source C++ library for computational physiology and biology. PLoS Comput Biol 2013, 9:14.
63. Chaouiya C, Berenguier D, Keating SM, Naldi A, van Iersel MP, Rodriguez N, Drager A, Buchel F, Cokelaer T, Kowal B, Wicks B, Gonçalves E, Dorier J, Page M, Monteiro PT, von Kamp A, Xenarios I, de Jong H, Hucka M, Klamt S, Thieffry D, Le Novère N, Saez-Rodriguez J, Helikar T: SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools. BMC Syst Biol 2013, 7:135.
64. Beard DA, Britten R, Cooling MT, Garny A, Halstead MD, Hunter PJ, Lawson J, Lloyd CM, Marsh J, Miller A, Nickerson DP, Nielson PM, Nomura T, Subramanium S, Wilmalaratne SM, Yu T: CellML metadata standards, associated tools and repositories. Philos Trans A Math Phys Eng Sci 2009, 367:1845-1867.
65. Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol 2010, 4:92.
66. Miller AK, Yu T, Britten R, Cooling MT, Lawson J, Cowan D, Garny A, Halstead MD, Hunter PJ, Nickerson DP, Nunns G, Wimalaratne SM, Nielson PM: Revision history aware repositories of computational models of biological systems. BMC Bioinformatics 2011, 12:22.
67. Kitano H: Systems biology: a brief overview. In Science. Volume 295. (New York, NY); 2002:1662-1664.
68. Chen B, Chen M, Paisley J, Zaas A, Woods C, Ginsburg GS, Hero A, Lucas J, Dunson D, Carin L: Bayesian inference of the number of factors in geneexpression analysis: application to human virus challenge studies. BMC Bioinformatics 2010, 11:552.
69. van Riel NA: Dynamic modelling and analysis of biochemical networks: mechanism-based models and model-based experiments. Brief Bioinform 2006, 7:364-374.
70. Hodgkin AL, Huxley AF: Currents carried by sodium and potassium ions through the membrane of the giant axon of Loligo. The Journal of physiology 1952, 116:449-472.
71. Wolkenhauer O: The role of theory and modeling in medical research. Front Physiol 2013, 4.
72. Auffray C, Chen Z, Hood L: Systems medicine: the future of medical genomics and healthcare. Genome Med 2009, 1:2.
73. Bousquet J, Anto J, Sterk P, Adcock I, Chung K, Roca J, Agusti A, Brightling C, Cambon-Thomsen A, Cesario A, Abdelhak S, Antonarakis SE, Avignon A, Ballabio A, Baraldi E, Baranov A, Bieber T, Bockaert J, Brahmachari S, Brambilla C, Bringer J, Dauzat M, Ernberg I, Fabbri L, Froquel P, Galas D, Gojobori T, Hunter P, Jorgensen C, Kauffmann F, et al: Systems medicine and integrated care to combat chronic noncommunicable diseases. Genome Medicine 2011, 3:43.
74. Garcia-Aymerich J, Gomez FP, Benet M, Farrero E, Basagana X, Gayete A, Pare C, Freixa X, Ferrer J, Ferrer A, Roca J, Gáldiz JB, Sauleda J, Monsó E, Gea J, Barberà JA, Agustí À, Antó JM. PAC-COPD Study Group: Identification and prospective validation of clinically relevant chronic obstructive pulmonary disease (COPD) subtypes. Thorax 2011, 66:430-437.
75. Wardlaw AJ, Silverman M, Siva R, Pavord ID, Green R: Multi-dimensional phenotyping: towards a new taxonomy for airway disease. Clin Exp Allergy 2005, 35:1254-1262.
76. Chu JH, Hersh CP, Castaldi PJ, Cho MH, Raby BA, Laird N, Bowler R, Rennard S, Loscalzo J, Quakenbush J, Silverman EK: Analyzing networks of phenotypes in complex diseases: methodology and applications in COPD. BMC Syst Biol 2014, 8:78.
77. Lamb J, Crawford ED, Peck D, Modell JW, Blat IC, Wrobel MJ, Lerner J, Brunet JP, Subramanian A, Ross KN, Reich M, Hieronymus H, Wei G, Armstrong SA, Haggarty SJ, Clemons PA, Wei R, Carr SA, Lander ES, Golub TR: The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease. Science (New York, NY) 2006, 313:1929-1935.
78. Bao H, Wang J, Zhou D, Han Z, Su L, Zhang Y, Ye X, Xu C, Wang Y, Li Q: Protein-protein interaction network analysis in chronic obstructive pulmonary disease. Lung 2014, 192:87-93.
79. Menche J, Sharma A, Cho MH, Mayer RJ, Rennard SI, Celli B, Miller BE, Locantore N, Tal-Singer R, Ghosh S, Larminie G, Bradley G, Riley JH, Agusti A, Silverman EK, Barabási AL: A diVIsive Shuffling Approach (VIStA) for gene expression analysis to identify subtypes in Chronic Obstructive Pulmonary Disease. BMC Systems Biology 2014, 8(Suppl 2):S8.
80. BioBridge: Integrative Genomics and Chronic Disease Phenotypes: modelling and simulation tools for clinicians. BioBridge project grant agreement no 037909 2006-2009, FP6-2005-LIFESCIHEALTH-7.
81. Arrell DK, Terzic A: Interpreting networks in systems biology. Clin Pharmacol Ther 2013, 93:389-392.
82. Rodríguez D, Alcarraz-Vizán G, Díaz-Moralli S, Reed M, Gómez F, Falciani F, Günther U, Roca J, Cascante M: Plasma metabolic profile in COPD patients: effects of exercise and endurance training. Metabolomics 2012, 8(3):508-516.
83. Kalko S, Puig-Vilanova E, Perez-Olabarria M, Falciani F, Gea J, Cascante M, Barreiro E, Roca J: Muscle and blood redox status after exercise training in severe COPD patients. Free Radic Biol Med 2012, 52(1):88-9.
84. Lauderdale DS, Furner SE, Miles TP, Goldberg J: Epidemiologic uses of Medicare data. Epidemiologic Reviews 1993, 15(2):319-27.
85. Park J, Lee DS, Christakis Na, Barabási AL: The impact of cellular networks on disease comorbidity. Molecular Systems Biology 2009, 5(262):262.