Diabetes mellitus performance measures in individuals with limited life expectancy.
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ABSTRACT:
SUBMITTER: Lee SJ
PROVIDER: S-EPMC3281549 | biostudies-literature | 2012 Feb
REPOSITORIES: biostudies-literature
Publications
Diabetes mellitus performance measures in individuals with limited life expectancy.
Lee Sei J SJ Boyd Cynthia M CM
Journal of the American Geriatrics Society 20120201 2
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Project description:OBJECTIVES: To estimate the health-adjusted life expectancy (HALE) from diabetes mellitus (DM) using a population health survey linked to a population-based DM registry. METHODS: The 1996/97 Ontario Health Survey (N = 35,517) was linked to the Ontario Diabetes Database (N = 487,576). The Health Utilities Index (HUI3) was used to estimate health-related quality of life. HALE was estimated using an adapted Sullivan method. RESULTS: Life expectancy at birth of people with DM was 64.7 and 70.7 years for men and women - 12.8 and 12.2 years less than for men and women without DM. The HUI3 was lower for physician-diagnosed DM compared to self-reported DM (0.799 versus 0.872). HALE at birth was 58.3 and 62.8 years for men and women - 11.9 and 10.7 years less than that of men and women without DM. CONCLUSIONS: The linked data approach demonstrates that DM is an important cause of disease burden. This approach reduces assumptions when estimating the prevalence and severity of disability from DM compared to methods that rely on self-reported disease status or indirect assessment of disability severity.
| S-EPMC406424 | biostudies-literature
Project description:Aims/hypothesisTables reporting life expectancies by common risk factors are available for individuals with type 2 diabetes; however, there is currently no published equivalent for individuals with type 1 diabetes. We aimed to develop a life expectancy table using a recently published simulation model for individuals with type 1 diabetes.MethodsThe simulation model was developed using data from a real-world population of patients with type 1 diabetes selected from the Swedish National Diabetes Register. The following six important risk factors were included in the life table: sex; age; current smoking status; BMI; eGFR; and HbA1c. For each of 1024 cells in the life expectancy table, a synthetic cohort containing 1000 individuals was created, with other risk factors assigned values representative of the real-world population. The simulations were executed for all synthetic cohorts and life expectancy for each cell was calculated as mean survival time of the individuals in the respective cohort.ResultsThere was a substantial variation in life expectancy across patients with different risk factor levels. Life expectancy of 20-year-old men varied from 29.3 years to 50.6 years, constituting a gap of 21.3 years between those with worst and best risk factor levels. In 20-year-old women, this gap was 18.9 years (life expectancy range 35.0-53.9 years). The variation in life expectancy was a function of the combination of risk factor values, with HbA1c and eGFR consistently showing a negative and positive correlation, respectively, with life expectancy at any level combination of other risk factors. Individuals with the lowest level (20 kg/m2) and highest level of BMI (35 kg/m2) had a lower life expectancy compared with those with a BMI of 25 kg/m2. Non-smokers and women had a higher life expectancy than smokers and men, respectively, with the difference in life expectancy ranging from 0.4 years to 2.7 years between non-smokers and smokers, and from 1.9 years to 5.9 years between women and men, depending on levels of other risk factors.Conclusions/interpretationThe life expectancy table generated in this study shows a substantial variation in life expectancy across individuals with different modifiable risk factors. The table allows for rapid communications of risk in an easily understood format between healthcare professionals, health economists, researchers, policy makers and patients. Particularly, it supports clinicians in their discussion with patients about the benefits of improving risk factors.
| S-EPMC8310903 | biostudies-literature
Project description:Objectives: This study aimed to estimate the life expectancy (LE) and health-adjusted life expectancy (HALE) of type 2 diabetes mellitus (T2DM) among the rural elderly population. Methods: A total of 10,318 participants aged 65 to 79 were derived from the Henan Rural Cohort. The LE and HALE were calculated via the Sullivan method and multistate life table. Results: Among 10,318 subjects, 1,325 suffered from T2DM at the baseline, and 394 participants had newly-developed T2DM. The results from the Sullivan method showed that the LE, HALE, and HALE/LE were 17.98, 16.18 years, and 89.95% for men aged 65 to 69, and the corresponding estimates for women were 21.81, 18.73 years, and 85.86%, respectively. The LE, HALE and HALE/LE calculated via multistate life table were 19.86, 17.53 years, and 88.29% for men at aged 65, and the corresponding values for women were 25.01, 20.87 years, and 83.44%, respectively. Conclusion: Rural elderly women have a longer LE and HALE of T2DM, but they have lower quality of life than men. More attention should be paid to T2DM among rural elderly people, especially in women. Clinical Trial Registration: The Henan Rural Cohort Study has been registered at Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699). Date of registration: 06 July 2015. http://www.chictr.org.cn/showproj.aspx?proj=11375.
| S-EPMC10965460 | biostudies-literature
Project description: Not available
| S-EPMC5444092 | biostudies-literature
Project description:AimsThe aim was to investigate sex- and age-stratified risks of cause-specific death and life expectancy in individuals with post-pancreatitis diabetes mellitus (PPDM).MethodsNationwide data on mortality in New Zealand were obtained. For two head-to-head comparisons (PPDM versus type 2 diabetes mellitus [T2DM]; PPDM versus type 1 diabetes mellitus [T1DM]), the groups were matched on age, sex, and calendar year of diabetes diagnosis. Multivariable Cox regression analyses were conducted to estimate risks of vascular, cancer, and non-vascular non-cancer mortality. Remaining life expectancy at age of diabetes diagnosis was estimated using the Chiang II method.ResultsA total of 15,848 individuals (1,132 PPDM, 3,396 T1DM, and 11,320 T2DM) were included. The risks of vascular mortality and non-vascular non-cancer mortality did not differ significantly between PPDM and T2DM or T1DM. PPDM was associated with a significantly higher risk of cancer mortality compared with T2DM (adjusted hazard ratio, 1.32; 95% confidence interval, 1.08-1.63) or T1DM (adjusted hazard ratio, 1.65; 95% confidence interval, 1.27-2.13). The risk of cancer mortality associated with PPDM (versus T2DM) was significantly higher in women than in men (p for interaction = 0.003). This sex difference in cancer mortality risk was also significant in the comparison between PPDM and T1DM (p for interaction = 0.006). Adults of both sexes with PPDM had the lowest remaining life expectancy (in comparison with T2DM or T1DM) up to 64 years of age.ConclusionsPeople with PPDM have a higher risk of cancer mortality compared with those with T2DM or T1DM. This is especially pronounced in women. Young and middle-aged adults with PPDM have a lower life expectancy compared with their counterparts with T2DM or T1DM.
| S-EPMC9254257 | biostudies-literature
Project description:Background & aimsLife expectancy is an important consideration when assessing appropriateness of preventive programs for older individuals. Most studies on this subject have used age cutoffs as a proxy for life expectancy. We analyzed patterns of utilization of screening colonoscopy in Medicare enrollees by using estimated life expectancy.MethodsWe used a 5% random national sample of Medicare claims data to identify average-risk patients who underwent screening colonoscopies from 2008 to 2010. Colonoscopies were considered to be screening colonoscopies in the absence of diagnoses for nonscreening indications, which were based on either colonoscopies or any claims in the preceding 3 months. We estimated life expectancies by using a model that combined age, sex, and comorbidity. Among patients who underwent screening colonoscopies, we calculated the percentage of those with life expectancies <10 years.ResultsAmong the 57,597 Medicare beneficiaries 66 years old or older who received at least 1 screening colonoscopy, 24.8% had an estimated life expectancy of <10 years. There was a significant positive association between total Medicare per capita costs in hospital referral regions and the proportion of patients with limited life expectancies (<10 years) at the time of screening colonoscopy (R = 0.25; P < .001, Pearson correlation test). In a multivariable analysis, men were substantially more likely than women to have limited life expectancy at the time of screening colonoscopy (odds ratio, 2.25; 95% confidence interval, 2.16-2.34).ConclusionsNearly 25% of Medicare beneficiaries, especially men, had life expectancies <10 years at the time of screening colonoscopies. Life expectancy should therefore be incorporated in decision-making for preventive services.
| S-EPMC3944371 | biostudies-literature
Project description:BackgroundThirty-day risk-standardized mortality rates after acute myocardial infarction are commonly used to evaluate and compare hospital performance. However, it is not known whether differences among hospitals in the early survival of patients with acute myocardial infarction are associated with differences in long-term survival.MethodsWe analyzed data from the Cooperative Cardiovascular Project, a study of Medicare beneficiaries who were hospitalized for acute myocardial infarction between 1994 and 1996 and who had 17 years of follow-up. We grouped hospitals into five strata that were based on case-mix severity. Within each case-mix stratum, we compared life expectancy among patients admitted to high-performing hospitals with life expectancy among patients admitted to low-performing hospitals. Hospital performance was defined by quintiles of 30-day risk-standardized mortality rates. Cox proportional-hazards models were used to calculate life expectancy.ResultsThe study sample included 119,735 patients with acute myocardial infarction who were admitted to 1824 hospitals. Within each case-mix stratum, survival curves of the patients admitted to hospitals in each risk-standardized mortality rate quintile separated within the first 30 days and then remained parallel over 17 years of follow-up. Estimated life expectancy declined as hospital risk-standardized mortality rate quintile increased. On average, patients treated at high-performing hospitals lived between 0.74 and 1.14 years longer, depending on hospital case mix, than patients treated at low-performing hospitals. When 30-day survivors were examined separately, there was no significant difference in unadjusted or adjusted life expectancy across hospital risk-standardized mortality rate quintiles.ConclusionsIn this study, patients admitted to high-performing hospitals after acute myocardial infarction had longer life expectancies than patients treated in low-performing hospitals. This survival benefit occurred in the first 30 days and persisted over the long term. (Funded by the National Heart, Lung, and Blood Institute and the National Institute of General Medical Sciences Medical Scientist Training Program.).
| S-EPMC5118048 | biostudies-literature
Project description:Objective: To characterize miRNAs in 41-year archived plasma in relation to life expectancy independent of genes. Method: Plasma miRNAs from nine identical male twins were profiled using next-generation sequencing. Results: The average absolute difference in the minimum life expectancy was 9.68 years. Intra-class correlation coefficients were above 0.4 for 50% of miRNAs. Comparing deceased twins with their alive co-twin brothers, the concentrations were increased for 34 but decreased for 30 miRNAs. Conclusion: Identical twins discordant in life expectancy were unlike in the majority of miRNAs, suggesting that environmental factors are pivotal in miRNAs related to life expectancy.
2016-12-30 | GSE80730 | GEO
Project description:AimsOlder patients with life-limiting illness (LLI) and limited life expectancy (LLE) continue to receive potentially inappropriate medicines, consequently deprescribing is often necessary. However, deprescribing in this population can be complex and challenging. Therefore, we aimed to investigate the evidence for outcomes of deprescribing interventions in older patients with LLI and LLE.MethodsStudies on deprescribing intervention and their outcomes in age ≥65 years with LLI and LLE were searched using PubMed, EMBASE, Cumulative Index to Nursing and Allied Health Literature, PsycINFO and Google Scholar. Medication appropriateness was primary outcome, while clinical and cost-related outcomes were secondary. Eligibility, data extraction and quality assessment were followed by a narrative synthesis of data.ResultsOf 9 studies (1375 participants), 3 reported on primary outcome. One study showed a significant reduction in medication inappropriateness by 34.9% (P < .001) from admission to close-out, the second achieved 29.4% (P < .001) and 15.1% (P = .003) reduction at 12 and 24 months, respectively. The third reported that their intervention stopped (17.2%) and altered the dose (2.6%) of high-risk medications. Commonly reported clinical outcomes were mortality (n = 3), quality of life (n = 2) and falls (n = 2). Outcomes in terms of cost were reported as overall cost (n = 2), medication cost (n = 1) and health care expenditure (n = 1).ConclusionOur findings suggest that deprescribing in older patients with LLI and LLE can improve medication appropriateness, and has potential for enhancement of several clinical outcomes and cost savings, but the evidence needs to be better established.
| S-EPMC7495295 | biostudies-literature
Project description:ImportanceDespite guidelines recommending against prostate-specific antigen (PSA) screening in elderly men with limited life expectancy, PSA screening remains common.ObjectiveTo identify clinician characteristics associated with PSA screening rates in older veterans stratified by life expectancy.Design, setting, and participantsCross-sectional study of 826 286 veterans 65 years or older eligible for PSA screening who had VA laboratory tests performed in 2011 in the VA health care system.Main outcomes and measuresThe primary outcome was the percentage of men with a screening PSA test in 2011. Limited life expectancy was defined as age of at least 85 years with Charlson comorbidity score of 1 or greater or age of at least 65 years with Charlson comorbidity score of 4 or greater. Primary predictors were clinician characteristics including degree-training level, specialty, age, and sex. We performed log-linear Poisson regression models for the association between each clinician characteristic and PSA screening stratified by patient life expectancy and adjusted for patient demographics and clinician clustering.ResultsIn 2011, 466 017 (56%) of older veterans received PSA screening, including 39% of the 203 717 men with limited life expectancy. After adjusting for patient demographics, higher PSA screening rates in patients with limited life expectancy was associated with having a clinician who was an older man and was no longer in training. The PSA screening rates ranged from 27% for men with a physician trainee to 42% for men with an attending physician (P < .001); 22% for men with a geriatrician to 82% for men with a urologist as their clinician (P < .001); 29% for men with a clinician 35 years or younger to 41% for those with a clinician 56 years or older (P < .001); and 38% for men with a female clinician older than 55 years vs 43% for men with a male clinician older than 55 years (P < .001).Conclusions and relevanceMore than one-third of men with limited life expectancy received PSA screening. Men whose clinician was a physician trainee had substantially lower PSA screening rates than those with an attending physician, nurse practitioner, or physician assistant. Interventions to reduce PSA screening rates in older men with limited life expectancy should be designed and targeted to high-screening clinicians- older male, nontrainee clinicians-for greatest impact.
| S-EPMC5362377 | biostudies-literature