Abstract
OBJETIVE:To measure the average number of disability-adjusted life years (DALYs) by which each patient and different etiological subgroups of acute ischemic stroke contribute to the burden of the disease at hospital discharge and to consider DALYs as a normative outcome indicator of the quality of clinical care without reperfusion therapy.
CONTEXT AND TYPE OF STUDY:Descriptive study of single retrospective cohort of patients over 18 years old with acute ischemic stroke who received clinical care without reperfusion therapy at the Hospital Universitario de la Samaritana - Bogotá - between May 2010 and June 2011.
MATERIALS AND METHODS:Thirty nine patients with acute ischemic stroke were included, using criteria established by the Trial of Org 10172 in Acute Stroke Treatment. For each patient it was measured residual disability at hospital discharge using the modified Rankin scale (mRS) and as well as individual DALYs. Summary statistics were employed relating with variables and analysis performed. All comparisons were exploratory.
RESULTS:Atherothrombotic subtype was the most frequent, followed by lacunar subtype. Highest frequency was in men, with a ratio of 3.9: 1. All survivors at discharge had some functional disability (mRS 1 to 5) with unimodal distribution of moderately severe disability (mRS 4) in 16 patients (41%). Hospital fatality of acute ischemic stroke (mRS 6) was 15.4%, in 35 patients, equivalent to 10 years lost due to premature death, on average 5.85 years lost per premature death during acute event. At hospital discharge, measurement of total DALYs provided by patients with acute ischemic stroke was 316.9 years, without statistically significant differences between subtypes of ischemia. On average, each patient contributed with 8.12 DALYs to the burden of acute ischemic stroke.
CONCLUSIONS:At hospital discharge, the impact of health care of a first ischemic stroke on the burden of disease for each patient showed, on average 8.12 DALYs lost, measure which doubles the average of 3.99 DALYs lost per patient considered quality standard for comparative purposes of the present study.
References
Donabedian A. An introduction to quality assurance in health care. New York: Oxford University Press; 2003.
Donabedian A. Evaluating the quality of medical care. Milbank Q. 2005;83(4):691-729. https://doi.org/10.1111/j.1468-0009.2005.00397.x
Donabedian A. The quality of care. How can it be assessed?. JAMA.1988; 260(12):1743-48.
Campbell SM, Roland MO, Buetow SA. Defining quality of care. Soc Sci Med. 2000;51(11):1611-25.
Steffen GE. Quality medical care. A definition. JAMA. 1988;260(1):56-61.
Harteloh PPM. The meaning of quality of health care: a conceptual analysis. Health Care Anal. 2003;11(3):259-267. https://doi.org/10.1023/B:HCAN.0000005497.53458.ef
Decker MD. The development of indicators. Inf Control & Hosp Epidemiol. 1991; 12: 490-492.
Mainz J. Developing evidence-based clinical indicators: a state of the art methods primer. Int J Qual Heahtl Care. 2003;15:i5 .
Brook RH, Lohr KN. Efficacy, effectiveness, variations and quality. Med Care. 1985;23(5):710-22.
Brook RH, Davies-Avery A, Greenfield S, Harris J, Lelah T, Solomon NE, et al. Assessing the quality of medical care using outcome measures: an overview of the method. Medical Care. 1977;15 (Suppl):1-165.
Goldenberg MJ. Defining "quality of care" persuasively. Theor Med Bioeth. 2012; 33(4):243-261. https://doi.org/10.1007/s11017-012-9230-4.
Gibney K, Sinclair M, O'Toole J, Leder K. Using disability-adjusted life years to set health-based targets: A novel use of an established burden of disease metric. J Public Health Policy. 2013;34(4):439-446. https://doi.org/10.1057/jphp.2013.22
Anand S, Hanson K. DALYs: efficiency versus equity. World Devel. 1998;26:307- 310. https://doi.org/10.1016/S0305-750X(97)10019-5
de Haan R, Limburg M, Bossuyt P, van der Meulen J, Aaronson N. The clinical meaning of Rankin 'handicap' grades after stroke. Stroke. 1995;26(1):2027- 2030.
Saver JL. Optimal end points for acute stroke therapy trials. Best ways to measure treatment effects of drugs and devices. Stroke. 2011;42:2356-62. https://doi.org/10.1161/STROKEAHA.111.619122
Banks JL, Marotta CA. Outcomes validity and reliability of the modified Rankin scale: implications for stroke clinical trials. A Literature review and synthesis. Stroke. 2007;28:1091- 96.
New PW, Buchbinder R. Critical appraisal and review of the Rankin scale and its derivatives. Neuroepidemiology. 2006;26:4-15. https://doi.org/10.1161/01.STR.0000258355.23810.c6
Duncan PM, Jorgensen HS, Wade DT. Outcome measures in acute stroke trials. A systematic review and some recommendations to improve practice. Stroke.2000; 31(6):1429-38.
Roberts L, Counsell C. Assessment of clinical outcomes in acute stroke trials. Stroke. 1998;29(5):986- 991.
Sulter G, Steen C, de Keyser J. Use of the Barthel index and modified Rankin scale in acute stroke trials. Stroke. 1999;30:1538-41.
Dromerick AW, Edwards DF, Diringer MN. Sensitivity to changes in disability after stroke: a comparison of four scales useful in clinical trials. J Rehabil Res Dev 2003;40:1-8.
Duncan PW, Lai SM, Keinhley J. Defining post-stroke recovery: implications for design and interpretation of drug trials. Neuropharmacology. 2000;39(5):835-841.
Bermejo F, Porta J, Díaz J, Martínez P. Más de cien escalas en neurología. Madrid: Aula Médica Ediciones. 2a Ed; 2008.
Hong KS. Disability-adjusted Ufe years analysis: implications for stroke research. J Clin Neurol. 2011;7(3):109-114. https://doi.org/10.3988/jcn.2011.7.3.109
Hong KS, Kim J, Cho YJ, SEo SY, Hwang SI, Kim SC, et al. Burden of ischemic stroke in Korea: analysis of disability-adjusted life years lost. J Clin Neurol. 2011; 7: 77-84. https://doi.org/10.3988/jcn.2011.7.2.77
Hong HS, Saver JL, Kang DW, Bae HJ, Yu KH, Koo J, et al. Years of optimum health lost due to complications after acute ischemic stroke. Disability-adjusted life-years analysis. Stroke. 2010;41(8):1758-65. https://doi.org/10.1161/STROKEAHA.109.576066
Hong HS, AU LK, Selco SL, Fonarow GC, Saver JL. Weighting components of composite end points in clinical trials. An approach using disability-adjusted life-years. Stroke. 2011;42(6):1722-29. https://doi.org/10.1161/STROKEAHA.110.600106
Altman BM. Definitions, concepts, and measures of disability. Ann Epidemiol. 2014;24(1):2-7. https://doi.org/10.1016/j.annepidem.2013.05.018
Mont D. Measuring health and disability. Lancet. 2007;369:1658-63. https://doi.org/10.1016/S0140-6736(07)60752-1
Seuc AH, Domínguez E, Díaz O. Introducción a los DALYs. Rev Cubana Hig & Epidemiol. 2000;38(2):92-101.
Essink-Bok ML, Bonsel GJ. How to derive disability weights. En: Murray CJL, Salomon JA, Mathers CD, Lopez AD. Summary measures of population Health. Concepts, ethics, measurement and applications. Ginebra: World Health Organization; 2002. p. 449-465.
Katz MH. Evaluating clinical and public health intervention. A practical guide to study design and statistics. Cambridge: Cambridge University Press; 2010.
Oleske DM. Epidemiology and the delivery of health care services. Methods and applications. New York: Springer; 2010.
Revila F. Dimensiones de la calidad en sanidad. En: Cabo J. Gestión de la calidad en las organizaciones sanitarias. Madrid: Ediciones Díaz de Santos; 2014. p. 1083 - 1109.
Wiechers IR, Weiss A. The role of outcomes assessment in clinical quality improvement. In: Baer L, Blais MA. Handbook of clinical rating scales and assessment in psychiatry and mental health. London: Humana Press; 2010. p. 303 - 307.
Abdullah F, Ortega G, Islam S, Barnhart DC, St Peter SD, Lee SL, et al. Outcomes research in pediatric surgery. Part 1: overview and resources. J Ped Surg. 2011; 46(1):221-5. https://doi.org/10.1016/j.jpedsurg.2010.09.096
Rosenfeld RM. Office-based clinical outcome studies: how it do it?. Opp Tech Otol Head & Neck Surg. 1999;10:153-157. http://dx.doi.org/10.1016/S1043-1810(99)80038-4
Doll R. Cohort studies: history of the method. II. Retrospective cohort studies. Prev Med. 2001;46(3):152-160.
Dekkers OM, Egger M, Altman DG, Vandenbrouke JP. Distinguishing case series from cohort studies. Ann Intern Med. 2012;156(1 pt 1):37-40. http://dx.doi.org/ 10.7326/00034819-156-1-201201030-00006
Esene IN, Ngu J, Zoghby ME, Solaroglu I, Sikod AM, Kotb A, et al. Case series and descriptive cohort studies in neurosurgery: the confusion and solution. Childs Nerv Syst. 2014;30:1321-32. http://dx.doi.org/10.1007/s00381-014-2460-1
Adams Jr HP, Bendixen BH, Kappelle J, Biller J, Love BB, Gordon DL, et al. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. Stroke.1993;24:35-41.
Suárez JC, Restrepo SC, Ramírez EP, Bedoya CL, Jiménez I. Descripción clínica, social, laboral y de la percepción funcional individual en pacientes con ataque cerebrovascular. Acta Neurol Colomb. 2011;27(2):97-105.
Vázquez E, Camaño F, Silvi J, Roca A. La tabla de vida: una técnica para resumir la mortalidad y la sobrevivencia. Boletín Epidemiol/OPS. 2003;24:6-10.
Seuc A, Domínguez E. Introducción al cáculo de esperanza de vida ajustada por diacapacidad. Rev Cubana Hig Epidemiol. 2002;40:95-102.
Hong KS, Saver JL. Years of disability-adjusted life gained as a result of thrombolytic therapy for acute ischemic stroke. Stroke. 2010;41(3):471-477. http://dx.doi.org/10.1161/STROKEAHA.109.571083
DANE. Proyecciones de población 2005 - 2020. Colombia. Tablas abreviadas de mortalidad nacionales y departamentales 1985 - 2020. Bogotá. 2007. Consultado en agosto 6 de 2013. En: En: http://www.dane.govco/files/investigaciones/poblacion/proyepobla06_20/8Tablasvida1985_2020.pdf/
.
Hong KS, Saver JL. Quantifying the value of stroke disability outcomes. WHO Global Burden of Disease Project disability weights for each level of the modified Rankin scale. Stroke. 2009;40(12):3828-33. http://dx.doi.org/10.1161/STROKEAHA.109.561365
Barendregt JJ. Disability-adjusted life years (DALYs) and disability-adjusted life expectancy (DALE). In: Robine JM, Jagger C, Mathers CD, Crimmins EM, Suzman RM. Determining health expectancies. Sussex: Wiley; 2003. p. 247- 261.
Cadilhac DA, Carter RC, Thrift AG, Dewey HM. Why invest in a national public health program for stroke? An example using Australian data to estimate the potential benefits and cost implementation. Health Policy. 2007;83:287-294. http://dx.doi.org/10.1016/j.healthpol.2007.02.001
Moodie ML, Carter R, Mihalopoulos C, Thrift AG, Chambers BR, Donnan GA, et al. Trial application of a Model of Resource Utilization, Costs, and Outcomes for Stroke (MORU-COS) to assist priority setting in stroke. Stroke. 2004;35:1041-1046. http://dx.doi.org/10.1161/01.STR.0000125012.36134.89
Maden KP, Karanjia PN, Adams Jr HP, Clarke WR, and the TOAST Investigators. Accuracy of initial stroke subtype diagnosis in the TOAST study. Neurology. 1995;45:1975-79. http://dx.doi.org/10.1212/WNL.45.11.1975
Kolominsky-Rabas PL, Weber M, Gellefer O, Neundoerfer B, Heuschmann PU. Epidemiology of ischemic stroke subtypes according to TOAST criteria. Incidence, recurrence, and longterm survival in ischemic stroke subtypes: a population-based study. Stroke. 2001;32(12):2735-40.
Heuschmann PU, Kolominsky-Rabas PL, Misselwits B, Her-manek P, Leffmann C, Janzen RWC, et al, for The German Stroke Registers Study Group. Predictors of in-hospital mortality and attributable risks of death after ischemic stroke. Arch Intern Med. 2004;164(16):1761-8. http://dx.doi.org/10.1001/archinte.164.16.1761
Lavados PM, Sacks C, Prina L, Escobar A, Tossi C, Araya F, et al. Inicidence, case-fatality rate, and prognosis of ischaemic stroke subtypes in a predominantly Hispanic-Mestizo population in Iquique, Chile (PISCIS Project): a community-based incidence study. Lancet Neurol. 2007;6(2): 140-148. http://dx.doi.org/10.1016/S1474-4422(06)70684-6
Schulz UGR, Rothwell PM. Differences in vascular risk factors between etiological subtypes of ischemic stroke. Importance of population-based studies. Stroke. 2003;34(8):2050-59. http://dx.doi.org/10.1161/01.STR.0000079818.08343.8C
Grau AJ, Weimar C, Buggle F, Heinrich A, Goertler M, Neu-maer S, et al. Risk factors, outcome, and treatment in subtypes of ischemic stroke. The German Stroke Data Bank. Stroke. 2001;32(11):2559-66.
Petty GW, Brown RD, Whisnant JP, Sicks JRD, O'Fallon WN, Wibers DO. Ischemic stroke subtypes. A population-based study of incidence and risk factors. Stroke.1999;30(12):2513-16.
Tanizaki Y, Kiyohara Y, Kato I, Iwamoto H, Nakayama K, Shinohara N, et al. Incidence and risk factors for subtypes of cerebral infarction in a general population. The Hysayama Study. Stroke. 2000;31:2616-22.
Appelros P, Stegmayr B, Terént A. Sex differences in stroke epidemiology. A systematic review. Stroke. 2009;40(4):1082-90. http://dx.doi.org/10.1161/STROKEAHA.108.540781
Petrea RE, Beiser AS, Seshadri S, Kelly-Hayes M, Kase CS, Wolf PA. Gender differences in stroke incidence and post-stroke disability in the Framingham Heart Study. Stroke. 2009;40(4):1032-37. http://dx.doi.org/10.1161/STROKEAHA.108.542894
Kelly-Hayes M, Beiser A, Kase CS, Scaramucci A, D'Agostino RB, Wolf PA. The influence of gender and age on disability following ischemic stroke: The Framingham Study. J Stroke Cere-brovasc Dis. 2003;12(3):119-26. http://dx.doi.org/10.1016/S1052-3057(03)00042-9
Niewada M, Kobayashi A, Sandercock PAG, Kaminski B, Cztonkowska. Influence of gender on baseline features and clinical outcomes among 17,370 patients with confirmed ischaemic stroke in the Internationl Stroke Trial. Neuroepi-demiology. 2005;24:123-128.
Lewsey JD, Gillies M, Jhund PS, Chalmers JWT, Redpath A, Briggs A, et al. Sex differences in incidence, mortality, and survival in individuals with stroke in Scotland, 1986 to 2005. Stroke. 2009;40(4):1038-43. http://dx.doi.org/10.1161/STROKEAHA.108.542787
Silva GS, Lima FO, Camargo ECS, Smith WS, Lev MH, Harris GJ, et al. Gender differences in outcomes after ischemic stroke: role of ischemic lesion volume and intracranial large-artery occlusion. Cerebrovasc Dis. 2010;30:470-75. http://dx.doi.org/10.1159/000317088
Gargano JW, Wehner S, Reeves M. Sex differences in acute stroke care in a statewide stroke registry. Stroke. 2008;39(1):24-29. http://dx.doi.org/10.1161/STROKEAHA.107.493262
Glader EL, Stegmayr B, Norrving B, Terent A, Hulter Asber K, Wester PO, et al. Sex differences in management and outcome after stroke. A Swedish national perspective. Stroke.2003;34(8):1970-75. http://dx.doi.org/10.1161/01.STR.0000083534.81284.C5
Di Carlo A, Lamassa M, Baldereschi M, Pracucci G, Basile AM, Wolfe CDA, et al. Sex differences in the clinical presentation, resource use, and 3-month outcome of acute stroke in Europe. Data from a multicenter multinational hospital-based registry. Stroke. 2003;34:1114-19. http://dx.doi.org/10.1161/01.STR.0000068410.07397.D7
Jiang Y, Sheikh K, Bullock C. Is there a sex or race difference in stroke mortality?. J Stroke Cerebrovasc Dis. 2006;15(15):179-86. http://dx.doi.org/10.1016/j.jstrokecerebrovasdis.2006.05.007
Barret KM, Brott TG, Brown RD, Frankel MR, Worrall BB, Silliman SL, et al. Sex differences in stroke severity, symptoms, and deficits after first-ever ischemic stroke. J Stroke Cerebrovasc Dis. 2007;16(1):34-39. http://dx.doi.org/10.1016/j. jstrokecerebrovasdis.2006.11.002
Kapral MK, Fang J, Hill MD, Silver F, Richards J, Jaigobin C, et al. Sex differences in stroke care and outcomes. Results from the registry of the Canadian Stroke Network. Stroke. 2005;36(4):809-14. http://dx.doi.org/10.1161/01.STR.0000157662.09551.e5
Santalucia P, Pezzela FR, Sessa M, Monaco S, Torgano G, Anticoli S, et al. Sex differences in clinical presentation, severity and outcome of stroke:Results from a hospital-based registry. Eur J Intern Med. 2013; 24(2):167-71. http://dx.doi.org/10.1016/j.ejim.2012.10.004
Hajat C, Heuschmann PU, Coshall C, Padayachee S, Chambers J, Rudd AG, et al. Incidence of aetiological subtypes of stroke in a multi-ethnic population based study: the South London Stroke Register. J Neurol Neurosurg Psych. 2011;82(5):527-33. http://dx.doi.org/10.1136/jnnp.2010.222919
Tuttolomondo A, Pedone C, Pinto A, DiRaimondo D, Fernandez P, DiSciacca R, et al. Predictors of outcome in acute ischemic cerebrovascular síndromes: the GIFA study. Int J Cardiol. 2008;125:391-96.
Bae HJ, Yoon DS, Lee J, Kim BK, Koo JS, Kwon O, et al. Inhospital medical complications and long term mortality after ischemic stroke. Stroke. 2005;36(11):2441-45. http://dx.doi.org/10.1161/01.STR.0000185721.73445.fd
Ingeman A, Andersen G, Hundborg HH, Svendsen ML, John-sen SP. In-hospital medical complications, length of stay, and mortality among stroke unit patients. Stroke. 2011;42(11):3214-18. http://dx.doi.org/10.1161/STROKEAHA.110.610881
Buetow S, Adams P. Is there any ideal of "High Quality Care" opposing "Low Quality Care"? A deconstructionist reading. Health Care Anal. 2006;14(2):123-32. http://dx.doi.org/10.1007/s10728-006-0018-4
Gibney K, Sinclair M, O'Toole J, Leder K. Using disability-adjusted life years to set health-based targets: A novel use of an established burden of disease metric. J Public Health Policy. 2013;34(3):439-446. http://dx.doi.org/10.1057/jphp.2013.22
Brainin M, Teuschl Y, Kalra L. Acute treatment and long-term management of stroke in developing countries. Lancet Neurol. 2007;6(6): 553-61. http://dx.doi.org/10.1016/S1474-4422(07)70005-4
Bunker JP, Frazier HS, Mosteller F. Improving health: measuring effects of medical care. Milbank Quart. 1994;72(2):225-58.
Bunker JP. The role of medical care in contributing to health improvements within societies. Int J Epidemiol. 2001;30(6):1260-63.
Craig N, Wright B, Hanlon P, Galbraith S. Does health care improve health?. J Health Serv Res & Policy. 2006;11(1):1-2. http://dx.doi.org/10.1258/135581906775094299
Holloway RG, Quill TW Mortality as a measure of quality. Implications for palliative and end-of-life care. JAMA. 2007;298(7):802-4. http://dx.doi.org/10.1001/jama.298.7.802

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