Several frailty parameters highly prevalent in middle age (50-65) are independent predictors of adverse events.
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ABSTRACT:
SUBMITTER: Segaux L
PROVIDER: S-EPMC8062562 | biostudies-literature | 2021 Apr
REPOSITORIES: biostudies-literature
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Several frailty parameters highly prevalent in middle age (50-65) are independent predictors of adverse events.
Segaux Lauriane L Broussier Amaury A Oubaya Nadia N Leissing-Desprez Claire C Laurent Marie M Naga Henri H Fromentin Isabelle I David Jean-Philippe JP Bastuji-Garin Sylvie S
Scientific reports 20210422 1
Although frailty can arise in middle age, very few studies have investigated frailty before 65 years. Our objectives were to assess the prevalence of frailty parameters in middle-aged individuals and probe the association with future adverse events. We performed cross-sectional and longitudinal analyses of community-dwelling individuals aged 50 to 65 (n = 411, median age: 59.0) having undergone a multidomain geriatric assessment (2010-2015) in an outpatient clinic in the greater Paris area of Fr ...[more]
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Project description:ImportanceElectronic frailty index (eFI) is an automated electronic health record (EHR)-based tool that uses a combination of clinical encounters, diagnosis codes, laboratory workups, medications, and Medicare annual wellness visit data as markers of frailty status. The association of eFI with postanesthesia adverse outcomes has not been evaluated.ObjectiveTo examine the association of frailty, calculated as eFI at the time of the surgical procedure and categorized as fit, prefrail, or frail, with adverse events after elective noncardiac surgery.Design, setting, and participantsThis cohort study was conducted at a tertiary care academic medical center in Winston-Salem, North Carolina. The cohort included patients 55 years or older who underwent noncardiac surgery of at least 1 hour in duration between October 1, 2017, and June 30, 2021.ExposureFrailty calculated by the eFI tool. Preoperative eFI scores were calculated based on available data 1 day prior to the procedure and categorized as fit (eFI score: ≤0.10), prefrail (eFI score: >0.10 to ≤0.21), or frail (eFI score: >0.21).Main outcomes and measuresThe primary outcome was a composite of the following 8 adverse component events: 90-item Patient Safety Indicators (PSI 90) score, hospital-acquired conditions, in-hospital mortality, 30-day mortality, 30-day readmission, 30-day emergency department visit after surgery, transfer to a skilled nursing facility after surgery, or unexpected intensive care unit admission after surgery. Secondary outcomes were each of the component events of the composite.ResultsOf the 33 449 patients (median [IQR] age, 67 [61-74] years; 17 618 females [52.7%]) included, 11 563 (34.6%) were classified as fit, 15 928 (47.6%) as prefrail, and 5958 (17.8%) as frail. Using logistic regression models that were adjusted for age, sex, race and ethnicity, and comorbidity burden, patients with prefrail (odds ratio [OR], 1.24; 95% CI, 1.18-1.30; P < .001) and frail (OR, 1.71; 95% CI, 1.58-1.82; P < .001) statuses were more likely to experience postoperative adverse events compared with patients with a fit status. Subsequent adjustment for all other potential confounders or covariates did not alter this association. For every increase in eFI of 0.03 units, the odds of a composite of postoperative adverse events increased by 1.06 (95% CI, 1.03-1.13; P < .001).Conclusions and relevanceThis cohort study found that frailty, as measured by an automatically calculated index integrated within the EHR, was associated with increased risk of adverse events after noncardiac surgery. Deployment of eFI tools may support screening and possible risk modification, especially in patients who undergo high-risk surgery.
| S-EPMC10628731 | biostudies-literature
Project description:BackgroundOlder US adults often receive care from multiple ambulatory providers. Seeing multiple providers may be clinically appropriate but creates challenges for communication. Whether frailty is a risk factor for gaps in communication among older adults and subsequent preventable adverse events is unknown.MethodsWe conducted a cross-sectional analysis of community-dwelling US adults ≥ 65 years of age in the REasons for Geographic And Racial Differences in Stroke (REGARDS) study who attended an in-home study examination in 2013-2016 and completed a survey on experiences with healthcare in 2017-2018 (n = 5,024). Using 5 frailty indicators (low body mass index, exhaustion, slow walk, weakness, and history of falls), we characterized participants into 3 mutually exclusive groups: not frail (0 indicators), intermediate-frail (1-2 indicators), and frail (3-5 indicators). We used survey data on self-reported gaps in care coordination and self-reported adverse events that participants attributed to poor communication among providers (a drug-drug interaction, repeat testing, an emergency department visit, or a hospital admission).ResultsOverall, 2,398 (47.7%) participants were not frail, 2,436 (48.5%) were intermediate-frail, and 190 (3.8%) were frail. The prevalence of any gap in care coordination was 37.0%, 40.8%, and 51.1% among participants who were not frail, intermediate-frail and frail, respectively. The adjusted prevalence ratio (PR) for any gap in care coordination among intermediate-frail and frail versus not frail participants was 1.09 (95% confidence interval [95%CI] 1.02-1.18) and 1.34 (95%CI 1.15-1.56), respectively. The prevalence of any preventable adverse event was 7.0%, 11.3% and 20.0% among participants who were not frail, intermediate-frail and frail, respectively. The adjusted PR for any preventable adverse event among those who were intermediate-frail and frail versus not frail was 1.47 (95%CI 1.22-1.77) and 2.24 (95%CI 1.60-3.14), respectively.ConclusionAmong older adults, frailty is associated with an increased prevalence for self-reported gaps in care coordination and preventable adverse events. Targeted interventions to address patient-reported concerns regarding care coordination among intermediate-frail and frail older adults may be warranted.
| S-EPMC9164877 | biostudies-literature
Project description:ObjectiveFrailty is an emerging risk factor for adverse outcomes. However, perioperative frailty assessments derived from electronic health records have not been studied on a large scale. We aim to estimate the prevalence of frailty and the associated incidence of major adverse cardiovascular events (MACE) among adults hospitalized for noncardiac surgery.MethodsAdults aged ≥45 years hospitalized for noncardiac surgery from 2004-2014 were identified from the National Inpatient Sample. The validated Hospital Frailty Risk Score (HFRS) derived from International Classification of Diseases codes was used to classify patients as low (HFRS <5), medium (5-10), or high (>10) frailty risk. The primary outcome was MACE, defined as myocardial infarction, cardiac arrest, and in-hospital mortality. Multivariable logistic regression was used to estimate the adjusted odds of MACE stratified by age and HFRS.ResultsA total of 55,349,978 hospitalizations were identified, of which 81.0%, 14.4%, and 4.6% had low, medium, and high HFRS, respectively. Patients with higher HFRS had more cardiovascular risk factors and comorbidities. MACE occurred during 2.5% of surgical hospitalizations and was common among patients with high frailty scores (high HFRS: 9.1%, medium: 6.9%, low: 1.3%, P < .001). Medium (adjusted odds ratio [aOR] 2.05; 95% confidence interval [CI], 2.02-2.08) and high (aOR 2.75; 95% CI, 2.70-2.79) HFRS were associated with greater odds of MACE vs low HFRS, with the greatest odds of MACE observed in younger individuals 45-64 years (interaction P value < .001).ConclusionsThe HFRS may identify frail surgical inpatients at risk for adverse perioperative cardiovascular outcomes.
| S-EPMC10038881 | biostudies-literature
Project description:ImportanceExtensive research has found the detrimental health effects of heat waves. However, a critical gap exists in understanding their association with adverse health events among older dually eligible individuals, who may be particularly susceptible to heat waves.ObjectiveTo assess the association between heat waves and adverse health events among dually eligible individuals 65 years and older.Design, setting, and participantsThis retrospective time-series study assessed the association between heat waves in warm months from 2016 to 2019 and zip code tabulation area (ZCTA)-day level adverse health events. Dually eligible individuals 65 years and older who were continuously enrolled in either a Medicare fee-for-service plan or a Medicare Advantage plan with full Medicaid benefits from May to September in any given year were identified. All ZCTAs in the US with at least 1 dually eligible individual in each study year were included. Data were analyzed from September 2023 to August 2024.ExposureHeat waves, defined as 3 or more consecutive extreme heat days (ie, days with a maximum temperature of at least 90 °F [32.2 °C] and in the 97th percentile of daily maximum temperatures for each ZCTA during the study period).Main outcomes and measuresDaily counts of heat-related emergency department visits and heat-related hospitalizations for each ZCTA.ResultsThe study sample included 5 448 499 beneficiaries 65 years and older in 28 404 ZCTAs across 50 states and Washington, DC; the mean (SD) proportion of female beneficiaries and beneficiaries 85 years and older in each ZCTA was 66% (7%) and 20% (8%), respectively. The incidence rate for heat-related emergency department visits was 10% higher during heat wave days compared to non-heat wave days (incidence rate ratio [IRR], 1.10; 95% CI, 1.08-1.12), and the incidence rate of heat-related hospitalizations was 7% higher during heat wave days (IRR, 1.07; 95% CI, 1.04-1.09). There were similar patterns in other adverse health events, including a 4% higher incidence rate of death during heat wave days (IRR, 1.04; 95% CI, 1.01-1.07). The magnitude of these associations varied across some subgroups. For example, the association between heat waves and heat-related emergency department visits was statistically significant only for individuals in 3 of 9 US climate regions: the Northwest, Ohio Valley, and the West.Conclusions and relevanceIn this time-series study, heat waves were associated with increased adverse health events among dually eligible individuals 65 years and older. Without adaptation strategies to address the health-related impacts of heat, dually eligible individuals are increasingly likely to face adverse outcomes.
| S-EPMC11549656 | biostudies-literature
Project description:Half of the patients who present with unstable angina (UA) develop recurrent symptoms over the subsequent year. Identification of patients destined to develop such adverse events would be clinically valuable, but current tools do not allow for this discrimination. Fibrocytes are bone marrow-derived progenitor cells that co-express markers of leukocytes and fibroblasts and are released into the circulation in the context of tissue injury. We hypothesized that, in patients with UA, the number of circulating fibrocytes predicts subsequent adverse events. We enrolled 55 subjects with UA, 18 with chronic stable angina, and 22 controls and correlated their concentration of circulating fibrocytes to clinical events (recurrent angina, myocardial infarction, revascularization, or death) over the subsequent year. Subjects with UA had a >2-fold higher median concentration of both total and activated fibrocytes compared with subjects with chronic stable angina and controls. In UA subjects, the concentration of total fibrocytes identified those who developed recurrent angina requiring revascularization (time-dependent area under the curve 0.85) and was superior to risk stratification using thrombolysis in myocardial infarction risk score and N-terminal pro B-type natriuretic peptide levels (area under the curve, 0.53 and 0.56, respectively, P < 0.001). After multivariable adjustment for thrombolysis in myocardial infarction predicted death, MI, or recurrent ischemia, total fibrocyte level was associated with recurrent angina (hazard ratio, 1.016 per 10,000 cells/mL increase; 95% confidence interval, 1.007-1.024; P < 0.001). Circulating fibrocytes are elevated in patients with UA and successfully risk stratify them for adverse clinical outcomes. Fibrocytes may represent a novel biomarker of outcome in this population.
| S-EPMC4866880 | biostudies-literature
Project description:Context: Risk factors for adverse cardiovascular events (ACVE) from drug exposures have been well-characterized in adults but not studied in children. The objective of the present study is to describe the incidence, characteristics, and risk factors for in-hospital ACVEs among pediatric emergency department (ED) patients with acute drug exposures.Methods: This is a prospective cohort design evaluating patients in the Toxicology Investigators Consortium (ToxIC) Registry. Pediatric patients (age <18 years) who were evaluated at the bedside by a medical toxicologist for a suspected acute drug exposure were included. The primary outcome was in-hospital ACVE (myocardial injury, shock, ventricular dysrhythmia, or cardiac arrest). The secondary outcome was in-hospital death. Multiple logistic regression analyses were performed to examine novel clinical risk factors and extrapolate adult risk factors (bicarbonate <20 mEq/L; QTc ≥500 ms), for the primary/secondary outcomes.Results: Among the 13,097 patients (58.5% female), there were 278 in-hospital ACVEs (2.1%) and 39 in-hospital deaths (0.3%). Age and drug class of exposure (specifically opioids and cardiovascular drugs) were independently associated with ACVE. Compared with adolescents, children under 2 years old (OR: 0.41, 95% CI: 0.21-0.80), ages 2-6 (OR: 0.37, 95% CI: 0.21-0.80), and ages 7-12 (OR: 0.51, 95% CI: 0.27-0.95) were significantly less likely to experience an ACVE. Serum bicarbonate concentration <20 mEq/L (OR: 2.31, 95% CI: 1.48-3.60) and QTc ≥ 500 ms (OR: 2.83, 95% CI: 1.67-4.79) were independently associated with ACVE.Conclusion: Previously derived clinical predictors of ACVE from an adult drug overdose population were successfully extrapolated to this pediatric population. Novel associations with ACVE and death included adolescent age and opioid drug exposures. In the midst of the opioid crisis, these findings urgently warrant further investigation to combat adolescent opioid overdose morbidity and mortality.
| S-EPMC6940554 | biostudies-literature
Project description:BackgroundAdverse events have been reported post blood donation. Donors might refrain from donating again due to such events which lowers the blood supply in collection centers.AimThis study measured the incidence, predictors and severity of adverse events among donors of a single whole blood unit at one of the largest donation centers in Saudi Arabia.MethodsA retrospective cohort was conducted in 2015 to investigate the adverse events immediately post donation. Donor characteristics such as age, blood pressure, hemoglobin level, weight and history of donation were described and tested as potential risk predictors. Eligible blood donors were 18,936/24,634 (76.8%).ResultsIncidence of adverse events found 1.1% (208 donors), of which 0.65% had mild symptoms (chills; nausea; pallor; dizziness; nervousness; headache), while 0.45% had severe symptoms (hypotension; convulsions; syncope; respiratory distress; emesis). Multiple logistic regression showed that, the incidence of adverse events was significantly higher among young age donors <30 years RR[95%CI] = 1.58[1.18-2.12], p < 0.002, higher hemoglobin levels RR[95%CI] = 1.30[1.15-1.46], lower weight donors <75kg RR[95%CI] = 1.71[1.29-2.27], p <0.001 and first time donors RR[95%CI] = 2.21[1.64-2.97], p < 0.001 compared to older age donors ≥30, lower hemoglobin levels, heavier weight donors ≥ 75, and previous donors, respectively. More severe adverse events were observed among older and heavier donors, previous donors, lower hemoglobin levels and hypertensive donors but with no statistical significance.ConclusionYoung blood donors, donors with lower weight and first time donors are at higher risk of contracting adverse events. Higher hemoglobin level is also a potential risk predictor of adverse events post whole blood donation.
| S-EPMC5521742 | biostudies-literature
Project description:Background and objectivesKidney disease is associated with physiologic changes that may predispose to frailty. This study sought to investigate whether lower levels of kidney function were associated with prevalent or incident frailty in Cardiovascular Health Study (CHS) participants.Design, setting, participants, & measurementsCHS enrolled community-dwelling adults age ≥65 years between 1989-1990 and 1992-1993. To examine prevalent frailty, included were 4150 participants without stroke, Parkinson disease, prescribed medications for Alzheimer disease or depression, or severely impaired cognition. To examine incident frailty, included were a subset of 3459 participants without baseline frailty or development of exclusion criteria during follow-up. The primary predictor was estimated GFR (eGFR) calculated using serum cystatin C (eGFR(cys)). Secondary analyses examined eGFR using serum creatinine (eGFR(SCr)). Outcomes were prevalent frailty and incident frailty at 4 years of follow-up. Frailty was ascertained on the basis of weight loss, exhaustion, weakness, slowness, and low physical activity.ResultsThe mean age was 75 years and the median eGFR(cys) was 73 ml/min per 1.73 m(2). Among participants with an eGFR(cys) <45 ml/min per 1.73 m(2), 24% had prevalent frailty. In multivariable analysis and compared with eGFR(cys) ≥90 ml/min per 1.73 m(2), eGFR(cys) categories of 45-59 (odds ratio [OR], 1.80; 95% confidence interval [CI], 1.17 to 2.75) and 15-44 (OR, 2.87; 95% CI, 1.72 to 4.77) were associated with higher odds of frailty, whereas 60-75 (OR, 1.14; 95% CI, 0.76 to 1.70) was not. In multivariable analysis, eGFR(cys) categories of 60-75 (incidence rate ratio [IRR], 1.72; 95% CI, 1.07 to 2.75) and 15-44 (IRR, 2.28; 95% CI, 1.23 to 4.22) were associated with higher incidence of frailty whereas 45-59 (IRR, 1.53; 95% CI, 0.90 to 2.60) was not. Lower levels of eGFR(SCr) were not associated with higher risk of prevalent or incident frailty.ConclusionsIn community-dwelling elders, lower eGFR(cys) was associated with a higher risk of prevalent and incident frailty whereas lower eGFR(SCr) was not. These findings highlight the importance of considering non-GFR determinants of kidney function.
| S-EPMC3848393 | biostudies-literature
Project description:IntroductionThe Hospital Frailty Risk Score (HFRS) is a validated risk stratification model referring to the cumulative deficits model of frailty. The purpose of this study was to evaluate the HFRS as a predictor of 90-day readmission and complications after revision total hip (rTHA) and knee (rTKA) arthroplasty.MethodsIn a retrospective analysis of 565 patients who had undergone rTHA or rTKA between 2011 and 2019, the HFRS was calculated for each patient. Rates of adverse events were compared between patients with low and intermediate or high frailty risk. Multivariable logistic regression models were used to assess the relationship between the HFRS and post-operative adverse events.ResultsPatients with intermediate or high frailty risk showed higher rates of readmission (30days: 23.8% vs. 9.9%, p = 0.006; 90days: 26.2% vs. 13.0%, p < 0.018), surgical complications (28.6% vs. 7.8%, p < 0.001), medical complications (11.9% vs. 1.0%, p < 0.001), other complications (28.6% vs. 2.3%, p < 0.001), Clavien-Dindo grade IV complications (14.3% vs. 4.8%, p = 0.009), and transfusion (33.3% vs. 6.1%, p < 0.001). Multivariable logistic regression analyses revealed a high HFRS as independent risk factor for surgical complications (OR = 3.45, 95% CI 1.45-8.18, p = 0.005), medical complications (OR = 7.29, 95% CI 1.72-30.97, p = 0.007), and other complications (OR = 14.15, 95% CI 5.16-38.77, p < 0.001).ConclusionThe HFRS predicts adverse events after rTHA and rTKA. As it derives from routinely collected data, the HFRS could be implemented automated in hospital information systems to facilitate identification of at-risk patients.
| S-EPMC8560670 | biostudies-literature
Project description: Not available
| S-EPMC8979651 | biostudies-literature