Due to a high prevalence of chronic non-degenerative diseases, it is suspected that COVID 19 poses a high risk of fatal complications for the Mexican population. The present study aims to estimate ...the risk factors for hospitalization and death in the Mexican population infected by SARS-CoV-2.
We used the publicly available data released by the Epidemiological Surveillance System for Viral Respiratory Diseases of the Mexican Ministry of Health (Secretaría de Salud, SSA). All records of positive SARS-CoV-2 cases were included. Two multiple logistic regression models were fitted to estimate the association between hospitalization and mortality, with other covariables. Data on 10,544 individuals (57.68% men), with mean age 46.47±15.62, were analyzed. Men were about 1.54 times more likely to be hospitalized than women (p<0.001, 95% C.I. 1.37-1.74); individuals aged 50-74 and ≥74 were more likely to be hospitalized than people aged 25-49 (OR 2.05, p<0.001, 95% C.I. 1.81-2.32, and OR 3.84, p<0.001, 95% C.I. 2.90-5.15, respectively). People with hypertension, obesity, and diabetes were more likely to be hospitalized than people without these comorbidities (p<0.01). Men had more risk of death in comparison to women (OR = 1.53, p<0.001, 95% C.I. 1.30-1.81) and individuals aged 50-74 and ≥75 were more likely to die than people aged 25-49 (OR 1.96, p<0.001, 95% C.I. 1.63-2.34, and OR 3.74, p<0.001, 95% C.I. 2.80-4.98, respectively). Hypertension, obesity, and diabetes presented in combination conveyed a higher risk of dying in comparison to not having these diseases (OR = 2.10; p<0.001, 95% C.I. 1.50-2.93). Hospitalization, intubation and pneumonia entail a higher risk of dying (OR 5.02, p<0.001, 95% C.I. 3.88-6.50; OR 4.27, p<0.001, 95% C.I. 3.26-5.59, and OR = 2.57; p<0.001, 95% C.I. 2.11-3.13, respectively). Our study's main limitation is the lack of information on mild (asymptomatic) or moderate cases of COVID-19.
The present study points out that in Mexico, where an important proportion of the population has two or more chronic conditions simultaneously, a high mortality rate is a serious risk for those infected by SARS-CoV-2.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Aim
Chronic diseases are frequent in older adults, particularly hypertension and diabetes. The relationship between frailty and these two conditions is still unclear. The aim of the present analyses ...was to explore the association between frailty with diabetes and hypertension in Mexican older adults.
Methods
Analyses of the Mexican Health and Nutrition Survey, a cross‐sectional survey, are presented. Data on diabetes and hypertension were acquired along with associated conditions (time since diagnosis, pharmacological treatment, among others). A 36‐item frailty index was constructed and rescaled to z‐values (individual scores minus population mean divided by one standard deviation). Multiple linear regression models were carried out, adjusted for age and sex.
Results
From 7164 older adults, 54.8% were women, and their mean age was 70.6 years with a mean frailty index score of 0.175. The prevalence of diabetes was of 22.2%, and 37.3% for hypertension. An independent association between diabetes, hypertension or both conditions (coefficients 0.28, 0.4 and 0.63, respectively, P < 0.001) with frailty was found. Having any diabetic complication was significantly associated with frailty with a coefficient of 0.55 (95% CI 0.45–0.65, P < 0.001) in the adjusted model. The number of years since diagnosis was also associated with frailty for both conditions.
Conclusions
Diabetes and hypertension are associated with frailty. In addition, an incremental association was found when both conditions were present or with worse associated features (any complication, more time since diagnosis). Frailty should be of particular concern in populations with a high prevalence of these conditions. Geriatr Gerontol Int 2017; 17: 925–930.
Frailty: An Emerging Public Health Priority Cesari, Matteo; Prince, Martin; Thiyagarajan, Jotheeswaran Amuthavalli ...
Journal of the American Medical Directors Association,
03/2016, Letnik:
17, Številka:
3
Journal Article
Recenzirano
The absolute and relative increases in the number of older persons are evident worldwide, from the most developed countries to the lowest-income regions. Multimorbidity and need for social support ...increase with age. Age-related conditions and, in particular, disabilities are a significant burden for the person, his or her family, and public health care systems. To guarantee the sustainability of public health systems and improve the quality of care provided, it is becoming urgent to act to prevent and delay the disabling cascade. Current evidence shows that too large a proportion of community-dwelling older people present risk factors for major health-related events and unmet clinical needs. In this scenario, the "frailty syndrome" is a condition of special interest. Frailty is a status of extreme vulnerability to endogenous and exogenous stressors exposing the individual to a higher risk of negative health-related outcomes. Frailty may represent a transition phase between successful aging and disability, and a condition to target for restoring robustness in the individual at risk. Given its syndromic nature, targeting frailty requires a comprehensive approach. The identification of frailty as a target for implementing preventive interventions against age-related conditions is pivotal. Every effort should be made by health care authorities to maximize efforts in this field, balancing priorities, needs, and resources. Raising awareness about frailty and age-related conditions in the population is important for effective prevention, and should lead to the promotion of lifelong healthy behaviors and lifestyle.
There is no consensus regarding the definition of frailty for clinical uses.
A modified Delphi process was used to attempt to achieve consensus definition. Experts were selected from different fields ...and organized into five Focus Groups. A questionnaire was developed and sent to experts in the area of frailty. Responses and comments were analyzed using a pre-established strategy. Statements with an agreement more than or equal to 80% were accepted.
Overall, 44% of the statements regarding the concept of frailty and 18% of the statements regarding diagnostic criteria were accepted. There was consensus on the value of screening for frailty and about the identification of six domains of frailty for inclusion in a clinical definition, but no agreement was reached concerning a specific set of clinical/laboratory biomarkers useful for diagnosis.
There is agreement on the usefulness of defining frailty in clinical settings as well as on its main dimensions. However, additional research is needed before an operative definition of frailty can be established.
OBJECTIVES: To determine whether adding cognitive impairment to frailty improves its predictive validity for adverse health outcomes.
DESIGN: Four‐year longitudinal study.
SETTING: The French ...Three‐City Study.
PARTICIPANTS: Six thousand thirty community‐dwelling persons aged 65 to 95.
MEASUREMENTS: Frailty was defined as having at least three of the following criteria: weight loss, weakness, exhaustion, slowness, and low physical activity. Subjects meeting one or two criteria were prefrail and those meeting none as nonfrail. The lowest quartile in the Mini‐Mental State Examination (MMSE) and the Isaacs Set Test (IST) was used to identify subjects with cognitive impairment. The predictive validity of frailty for incident disability, hospitalization, dementia, and death was calculated first for frailty subgroups and then rerun after stratification according to the presence or absence of cognitive impairment.
RESULTS: Four hundred twenty‐one individuals (7%) met frailty criteria. Cognitive impairment was present in 10%, 12%, and 22% of the nonfrail, prefrail, and frail subjects, respectively. Those classified as frail scored lower on the MMSE and IST than those classified as prefrail and nonfrail. After adjustment, frail persons with cognitive impairment were significantly more likely to develop disability in activities of daily living (ADLs) and instrumental ADLs over the following 4 years. The risk of incident mobility disability and hospitalization was marginally greater. Incident dementia was greater in the groups with cognitive impairment irrespective of their frailty status. Conversely, frailty was not a significant predictor of mortality.
CONCLUSION: Cognitive impairment improves the predictive validity of the operational definition of frailty, because it increases the risk of adverse health outcomes in this particular subgroup of the elderly population.
Aging is believed to occur across multiple domains, one of which is body composition; however, attempts to integrate it into biological age (BA) have been limited. Here, we consider the sex‐dependent ...role of anthropometry for the prediction of 10‐year all‐cause mortality using data from 18,794 NHANES participants to generate and validate a new BA metric. Our data‐driven approach pointed to sex‐specific contributors for BA estimation: WHtR, arm and thigh circumferences for men; weight, WHtR, thigh circumference, subscapular and triceps skinfolds for women. We used these measurements to generate AnthropoAge, which predicted all‐cause mortality (AUROC 0.876, 95%CI 0.864–0.887) and cause‐specific mortality independently of ethnicity, sex, and comorbidities; AnthropoAge was a better predictor than PhenoAge for cerebrovascular, Alzheimer, and COPD mortality. A metric of age acceleration was also derived and used to assess sexual dimorphisms linked to accelerated aging, where women had an increase in overall body mass plus an important subcutaneous to visceral fat redistribution, and men displayed a marked decrease in fat and muscle mass. Finally, we showed that consideration of multiple BA metrics may identify unique aging trajectories with increased mortality (HR for multidomain acceleration 2.43, 95%CI 2.25–2.62) and comorbidity profiles. A simplified version of AnthropoAge (S‐AnthropoAge) was generated using only BMI and WHtR, all results were preserved using this metric. In conclusion, AnthropoAge is a useful proxy of BA that captures cause‐specific mortality and sex dimorphisms in body composition, and it could be used for future multidomain assessments of aging to better characterize the heterogeneity of this phenomenon.
A new aging metric that incorporates changes in body composition was developed using NHANES. This new metric (AnthropoAge) takes sex and racial differences into account to predict 10‐year mortality risk with a superior performance to chronological age and comparable to PhenoAge. A multidomain assessment of aging was performed by combining PhenoAge and AnthropoAge, allowing the identification of aging trajectories with unique comorbidity, all‐cause, and cause‐specific mortality profiles.
Abstract
Background
COVID-19 has had a disproportionate impact on older adults. Mexico’s population is younger, yet COVID-19’s impact on older adults is comparable to countries with older population ...structures. Here, we aim to identify health and structural determinants that increase susceptibility to COVID-19 in older Mexican adults beyond chronological aging.
Methods
We analyzed confirmed COVID-19 cases in older adults using data from the General Directorate of Epidemiology of Mexican Ministry of Health. We modeled risk factors for increased COVID-19 severity and mortality, using mixed models to incorporate multilevel data concerning healthcare access and marginalization. We also evaluated structural factors and comorbidity profiles compared to chronological age for COVID-19 mortality risk prediction.
Results
We analyzed 20 804 confirmed SARS-CoV-2 cases in adults aged 60 and older. Male sex, smoking, diabetes, and obesity were associated with pneumonia, hospitalization, and intensive care unit (ICU) admission in older adults, CKD and COPD were associated with hospitalization. High social lag indexes and access to private care were predictors of COVID-19 severity and mortality. Age was not a predictor of COVID-19 severity in individuals without comorbidities and combination of structural factors and comorbidities were better predictors of COVID-19 lethality and severity compared to chronological age alone. COVID-19 baseline lethality hazards were heterogeneously distributed across Mexican municipalities, particularly when comparing urban and rural areas.
Conclusions
Structural factors and comorbidity explain excess risk for COVID-19 severity and mortality over chronological age in older Mexican adults. Clinical decision-making related to COVID-19 should focus away from chronological aging onto more a comprehensive geriatric care approach.
Non-contributory pension programs in the developing world seek to provide older adults with an income that may improve their health and wellbeing in old age by enabling access to health care and ...better nutrition. There is no previous evidence of the effects of non-contributory pensions on frailty, a comprehensive measure of health and well-being of the oldest old. We aimed to estimate the effects of non-contributory pension programs on frailty of older adults in the state of Yucatan, Mexico. We use rich panel data, including objective markers and self-reported assessments of health and well-being, for 944 adults at least 70 years of age in two communities of Yucatan, Mexico. The first wave was collected in 2008; the second wave was collected in 2010, 18 months after implementation of a monthly state pension in one community and 12 months after a federal pension paid every two months in the other. We found the state pension led to a statistically significant decrease in the severity of frailty for women, but the federal pension was associated with an increase. We found no statistically significant change in the frailty index for men in either community. Among explanations for these findings are monthly payments being more likely to be spent on health care, medicines, and more regular food expenditures, enabling women who previously lacked independent means of support to increase their longer-term health. The federal program paid every two months led to irregular patterns of food expenditure and increased ownership of durable goods but had no effects on health care utilization, subsequently leading to deterioration in longer-term health for women.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Mortality as an adverse outcome of sarcopenia Arango-Lopera, V. E; Arroyo, P; Gutiérrez-Robledo, Luis Miguel ...
The Journal of nutrition, health & aging,
03/2013, Letnik:
17, Številka:
3
Journal Article
Recenzirano
Odprti dostop
Sarcopenia has an important impact in elderly. Recently the European Working Group on Sarcopenia in Older People (EWGSOP) defined sarcopenia as the loss of muscle mass plus low muscle strength or low ...physical performance. Lack of clinical sounding outcomes (ie external validity), is one of the flaws of this algorithm. The aim of our study was to determine the association of sarcopenia and mortality in a group of Mexican elderly. A total of 345 elderly were recruited in Mexico City, and followed up for three years. The EWGSOP algorithm was integrated by: gait speed, grip strength and calf circumference. Other covariates were assessed in order to test the independent association of sarcopenia with mortality. Of the 345 subjects, 53.3% were women; with a mean age of 78.5 (SD 7) years. During the three year follow-up a total of 43 (12.4%) subjects died. Age, cognition, ADL, IADL, health self-perception, ischemic heart disease and sarcopenia were associated in the bivariate analysis with survival. Negative predictive value for sarcopenia regarding mortality was of 90%. Kaplan-Meier curves along with their respective log-rank test were significant for sarcopenia. The components of the final Cox-regression multivariate model were age, ischemic heart disease, ADL and sarcopenia. Adjusted HR for age was 3.24 (CI 95% 1.55–6.78 p 0.002), IHD 5.07 (CI 95% 1.89–13.59 p 0.001), health self-perception 5.07 (CI 95% 1.9–13.6 p 0.001), ADL 0.75 (CI 95% 0.56–0.99 p 0.048) and sarcopenia 2.39 (CI 95% 1.05–5.43 p 0.037).
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