Recovery and Survival from Aging-associated Diseases

Overview

Journal Exp Gerontol

Specialty Geriatrics

Date 2013 May 28

PMID 23707929

Citations 5

Authors

Igor Akushevich

Julia Kravchenko

Svetlana Ukraintseva

Konstantin Arbeev

Anatoliy I Yashin

Affiliations

Soon will be listed here.

Abstract

Objectives: Considering disease incidence to be a main contributor to healthy lifespan of the US elderly population may lead to erroneous conclusions when recovery/long-term remission factors are underestimated. Using two Medicare-based population datasets, we investigated the properties of recovery from eleven age-related diseases.

Methods: Cohorts of patients who stopped visiting doctors during a five-year follow-up since disease onset were analyzed non-parametrically and using the Cox proportional hazard model resulted in estimated recovery and survival rates and evaluated the health state of recovered individuals by comparing their survival with non-recovered patients and the general population.

Results: Recovered individuals had lower death rates than non-recovered patients, therefore, patients who stopped visiting doctors are a healthier subcohort. However, they had higher death rates than in general population for all considered diseases, therefore the complete recovery does not occur.

Conclusion: Properties of recovery/long-term remission among the US population of older adults with chronic diseases were uncovered and evaluated. The results allow for a better quantifiable contribution of age-related diseases to healthy life expectancy and improving forecasts of health and mortality.

Citing Articles

A forecasting model of disease prevalence based on the McKendrick-von Foerster equation.

Akushevich I, Yashkin A, Kravchenko J, Fang F, Arbeev K, Sloan F Math Biosci. 2019; 311:31-38.

PMID: 30597156 PMC: 6916255. DOI: 10.1016/j.mbs.2018.12.017.

Theory of partitioning of disease prevalence and mortality in observational data.

Akushevich I, Yashkin A, Kravchenko J, Fang F, Arbeev K, Sloan F Theor Popul Biol. 2017; 114:117-127.

PMID: 28130147 PMC: 5459580. DOI: 10.1016/j.tpb.2017.01.003.

Biodemographic Analyses of Longitudinal Data on Aging, Health, and Longevity: Recent Advances and Future Perspectives.

Arbeev K, Akushevich I, Kulminski A, Ukraintseva S, Yashin A Adv Geriatr. 2015; 2014.

PMID: 25590047 PMC: 4290867. DOI: 10.1155/2014/957073.

Going beyond the disability-based morbidity definition in the compression of morbidity framework.

Beltran-Sanchez H, Razak F, Subramanian S Glob Health Action. 2014; 7:24766.

PMID: 25261699 PMC: 4176669. DOI: 10.3402/gha.v7.24766.

Assessing biological aging: the origin of deficit accumulation.

Mitnitski A, Song X, Rockwood K Biogerontology. 2013; 14(6):709-17.

PMID: 23860844 PMC: 3847281. DOI: 10.1007/s10522-013-9446-3.

References

Baraka A, Guemei A, Gawad H . Role of modulation of vascular endothelial growth factor and tumor necrosis factor-alpha in gastric ulcer healing in diabetic rats. Biochem Pharmacol. 2010; 79(11):1634-9. DOI: 10.1016/j.bcp.2010.02.001. View

Manton K, Gu X, Lamb V . Change in chronic disability from 1982 to 2004/2005 as measured by long-term changes in function and health in the U.S. elderly population. Proc Natl Acad Sci U S A. 2006; 103(48):18374-9. PMC: 1635981. DOI: 10.1073/pnas.0608483103. View

Manton K, Corder L, Stallard E . Estimates of change in chronic disability and institutional incidence and prevalence rates in the U.S. elderly population from the 1982, 1984, and 1989 National Long Term Care Survey. J Gerontol. 1993; 48(4):S153-66. DOI: 10.1093/geronj/48.4.s153. View

Welin C, Lappas G, Wilhelmsen L . Independent importance of psychosocial factors for prognosis after myocardial infarction. J Intern Med. 2000; 247(6):629-39. DOI: 10.1046/j.1365-2796.2000.00694.x. View

Costa D . Changing chronic disease rates and long-term declines in functional limitation among older men. Demography. 2002; 39(1):119-37. DOI: 10.1353/dem.2002.0003. View

Akushevich I, Kravchenko J, Ukraintseva S, Arbeev K, Yashin A . Age patterns of incidence of geriatric disease in the U.S. elderly population: Medicare-based analysis. J Am Geriatr Soc. 2012; 60(2):323-7. PMC: 3288526. DOI: 10.1111/j.1532-5415.2011.03786.x. View

Akushevich I, Kravchenko J, Akushevich L, Ukraintseva S, Arbeev K, Yashin A . Cancer Risk and Behavioral Factors, Comorbidities, and Functional Status in the US Elderly Population. ISRN Oncol. 2011; 2011:415790. PMC: 3197174. DOI: 10.5402/2011/415790. View

Slavin R, Haselkorn T, Lee J, Zheng B, Deniz Y, Wenzel S . Asthma in older adults: observations from the epidemiology and natural history of asthma: outcomes and treatment regimens (TENOR) study. Ann Allergy Asthma Immunol. 2006; 96(3):406-14. DOI: 10.1016/S1081-1206(10)60907-6. View

Goff Jr D, Brass L, Braun L, Croft J, Flesch J, Fowkes F . Essential features of a surveillance system to support the prevention and management of heart disease and stroke: a scientific statement from the American Heart Association Councils on Epidemiology and Prevention, Stroke, and Cardiovascular Nursing.... Circulation. 2006; 115(1):127-55. DOI: 10.1161/CIRCULATIONAHA.106.179904. View

10.

Manton K . A longitudinal study of functional change and mortality in the United States. J Gerontol. 1988; 43(5):S153-61. DOI: 10.1093/geronj/43.5.s153. View

11.

Christensen K, Doblhammer G, Rau R, Vaupel J . Ageing populations: the challenges ahead. Lancet. 2009; 374(9696):1196-208. PMC: 2810516. DOI: 10.1016/S0140-6736(09)61460-4. View

12.

Akushevich I, Kravchenko J, Ukraintseva S, Arbeev K, Yashin A . Circulatory Diseases in the U.S. Elderly in the Linked National Long-Term Care Survey-Medicare Database: Population-Based Analysis of Incidence, Comorbidity, and Disability. Res Aging. 2015; 35(4):437-458. PMC: 4655882. DOI: 10.1177/0164027512446941. View

13.

Waidmann T, Liu K . Disability trends among elderly persons and implications for the future. J Gerontol B Psychol Sci Soc Sci. 2000; 55(5):S298-307. DOI: 10.1093/geronb/55.5.s298. View

14.

Lefler L, Bondy K . Women's delay in seeking treatment with myocardial infarction: a meta-synthesis. J Cardiovasc Nurs. 2004; 19(4):251-68. DOI: 10.1097/00005082-200407000-00005. View

15.

Campion E . The oldest old. N Engl J Med. 1994; 330(25):1819-20. DOI: 10.1056/NEJM199406233302509. View

16.

Thomsen R, Riis A, Christensen S, Norgaard M, Sorensen H . Diabetes and 30-day mortality from peptic ulcer bleeding and perforation: a Danish population-based cohort study. Diabetes Care. 2006; 29(4):805-10. DOI: 10.2337/diacare.29.04.06.dc05-1748. View

17.

Akushevich I, Kravchenko J, Akushevich L, Ukraintseva S, Arbeev K, Yashin A . Medical cost trajectories and onsets of cancer and noncancer diseases in US elderly population. Comput Math Methods Med. 2011; 2011:857892. PMC: 3115464. DOI: 10.1155/2011/857892. View

18.

Schoeni R, Freedman V, Martin L . Why is late-life disability declining?. Milbank Q. 2008; 86(1):47-89. PMC: 2690336. DOI: 10.1111/j.1468-0009.2007.00513.x. View

19.

Rhodes H, Thomas P, Sporik R, Holgate S, Cogswell J . A birth cohort study of subjects at risk of atopy: twenty-two-year follow-up of wheeze and atopic status. Am J Respir Crit Care Med. 2002; 165(2):176-80. DOI: 10.1164/ajrccm.165.2.2104032. View

20.

Perenboom R, van Herten L, Boshuizen H, van den Bos G . Trends in disability-free life expectancy. Disabil Rehabil. 2004; 26(7):377-86. DOI: 10.1080/0963828032000174098. View