Literature DB >> 23259013

Frailty in Older Adults Using Pre-hospital Care and the Emergency Department: A Narrative Review.

Judah P Goldstein1, Melissa K Andrew, Andrew Travers.   

Abstract

BACKGROUND: Older adults use more health-care services per capita than younger age groups and the older adult population varies greatly in its needs. Evidence suggests that there is a critical distinction between relative frailty and fitness in older adults. Here, we review how frailty is described in the pre-hospital literature and in the broader emergency medicine literature.
METHODS: PubMed was used as the primary database, but was augmented by searches of CINAHL and EMBASE. Articles were included if they focused on patients 60 years and older and implemented a definition of frailty or risk screening tool in the Emergency Medical Services (EMS) or Emergency Department setting.
RESULTS: IN THE BROAD CLINICAL LITERATURE, THREE TYPES OF MEASURES CAN BE IDENTIFIED: frailty index measures, frailty scales, and a phenotypic definition. Each offers advantages and disadvantages for the EMS stakeholder. We identified no EMS literature on frailty conceptualization or management, although some risk measures from emergency medicine use terms that overlap with the frailty literature.
CONCLUSIONS: There is a paucity of research on frailty in the Emergency Medical Services literature. No research was identified that specifically addressed frailty conceptualization or management in EMS patients. There is a compelling need for further research in this area.

Entities:  

Keywords:  Emergency Medical Services; aged; frail elderly; frailty

Year:  2012        PMID: 23259013      PMCID: PMC3516240          DOI: 10.5770/cgj.15.27

Source DB:  PubMed          Journal:  Can Geriatr J        ISSN: 1925-8348


INTRODUCTION

Older adults are the chief users of Emergency Medical Services (EMS),( but we have paid little heed to understanding their special needs.( Older patients use emergency services at higher rates, require more resources once in the emergency department (ED) and are more likely to experience adverse health outcomes compared with younger patients.( A mechanism to identify those at higher risk for adverse outcomes may lead to improvements in care. Although older age groups use EMS at disproportionately higher rates,( paramedic training has changed little to meet the specific needs of this older demographic. Moreover, there has been very little alteration in how EMS systems are organized, with agencies initially established to provide care for major trauma and cardiac arrest victims.( The ability of EMS to cope with the influx of frail older patients may be reaching a limit, and unless changes are made in its organization, it seems inevitable that care provided to the older adult will suffer. Older patients are a heterogeneous group due to multiple medical and social factors. Dichotomizing older patients as fit or frail may serve to optimize pre-hospital care. The term “frailty” is often employed in the medical literature, including emergency medicine, and is widely recognized as a state of vulnerability or decline in physiological reserve.( A definition of frailty should integrate biological, clinical, social, psychological, and environmental components, while also reflecting the multi-system impairment that is intrinsic to this concept.( Frailty is common with prevalence estimates of 40% or more in those aged 80 and older.( Geriatric interventions provided in the community setting have been shown to reduce ED utilization over relatively short intervals, likely due to improved continuity of care and access.( The utility of geriatric interventions applied in the ED have demonstrated mixed results;( however, the evidence suggests benefits may be derived from targeting interventions towards high-risk clients.( Although a focus on frailty might usefully inform care provision in the pre-hospital and ED settings, the concept has received little attention to date. Frailty measurement is controversial.( Three approaches can be discerned: rules-based approaches such as the frailty phenotype,( clinical frailty scales based on clinical judgment,( and the Frailty Index based on deficit count.( (Table 1) Some describe frailty as a medical syndrome,( while others believe that it is derived from the accumulation of age-related changes over time.( While this will be a particular challenge for defining frailty in emergency services, it is also the case that the special needs in the emergency setting—not just for reliable and valid measures, but for feasible measures that can be used rapidly—usefully will resolve some of the more esoteric considerations that are often at play in the debate about frailty measurement. Regardless, adverse outcomes are more common in those who are considered frail.( In fact, data from the Medicare Current Beneficiary Survey confirmed that the Rockwood-Mitnitski Frailty Index was a robust predictor of serious adverse events (death, nursing home admission, hospital admission) in the first 30 days following an older individual’s visit to the emergency department.(
TABLE 1

Common definitions of frailty from the geriatric medicine literature with associated positive and negative attributes that may have an impact on their use in the pre-hospital setting

Frailty DefinitionComponentsGrades of FrailtyAuthorsMeasurementPros/Cons
Phenotype/ Rules-Based ApproachPerformance on five variablesRobust: no problemsPre-frail: one or two problemsFrail: three or more problemsFried et al.(13)Clinical Performance-based measuresPros: Performance based, easy to applyCons: floor effect for some variables (immobile patients)
Frailty Index (e.g., Rockwood-Mitnitski Frailty Index)Deficit count or proportion of potential deficits that a person has accumulatedRange: 0–1.0Empirical cut-off: <0.25 (robust/ pre-frail)≥0.25 (frail)0.67 (99% upper limit of FI)Mitnitski et al.(15)ComprehensiveGeriatric AssessmentPopulation-based data (survey)Pros: Simple approach, robust indicator of frailty, reproducible mathematical properties, precise gradingCons: Cumbersome in clinical setting
Frailty Scale (e.g., Canadian Study of Health and Aging –Clinical Frailty Scale)Single descriptor of a person’s state of frailty (fitness)CSHA-CFS: A 7 point scale ranging from “very fit” to “severely frail”Rockwood et al.(14)Clinical JudgmentPros: Subjective, easy to use/ implementCons: validated for use by specialists, insensitive in some populations

Objectives

The primary objectives of this review were: 1) to identify measures of frailty used by Emergency Medical Services; and 2) to describe frailty measures used in Emergency Medicine. We limited our discussion to the pre-hospital and ED environments, with their unique time, resource, and system constraints. Here, we undertook a narrative review of the EMS and emergency medicine literature to understand how the concept of frailty is being applied, which measures have been validated for use in this population, and what can be recommended.

METHODS

Search Strategy

The concept of frailty in the EMS/ED literature was reviewed by identifying primary literature where measures of frailty were implemented or clinically applied. For the purposes of this review, databases (PubMed, EmBase, and CINAHL) were screened between the years 1990 and 2009. The search terms (MeSH and text) included aged, geriatric assessment, frail elderly, frail*, health services research, outcome assessment/ screening, geriatric combined with either emergency medical services or emergency service. This search strategy was informed by hand searches of bibliographies, review of conference abstracts, and contact with colleagues. English language articles were included in this review if they focused on patients 60 years and older and implemented a definition of frailty or risk-screening tool in the EMS/ED setting. In our desire to be liberal with inclusion criteria, 60 years and older was chosen as this is sometimes used as the population of interest in emergency medicine literature on aging. The risk screening tools may be proxy markers of frailty so were included in this research. Studies were excluded if they were not focused on measuring frailty in the practice setting. The search strategy was considered up to date as of April 2009. A single reviewer (JG) initiated the search strategy, screened the titles and abstracts using the inclusion/ exclusion criteria, and reviewed the full text articles.

RESULTS

The title and abstract screening was performed on 5568 studies by a single reviewer. An additional 412 records would have been located if the search strategy was not restricted by language. A total of 42 full-text articles were reviewed. No articles specifically using a measure of frailty in the prehospital setting or emergency department were identified. The 6 original studies on risk screening tools used in the pre-hospital setting or emergency department were included in this review.

Frailty in EMS Patients

No primary research that implemented a validated measure of frailty in the EMS setting was identified. Because frailty is predictive of the risk for adverse outcomes, a search was also performed to identify tools that may predict risk for health deterioration or decline in functional status among older patients. Although no risk screening tools appear to be used by EMS, one study described how EMS services have attempted to provide more extensive care through screening, education, and referral programs for older patients in an attempt to identify unmet health care needs (Table 2).( EMS-based public health promotion programs are rare; however, Shah et al.( determined that it is feasible for EMS agencies to take on non-traditional roles in public health. In addition, an EMS specific tool is currently in the derivation phase (PERIL – Paramedics Assessing Elders at Risk For Independence Loss).( This risk screening tool may represent a feasible approach for assessing older people within their own home.
TABLE 2

Risk screening tools or programs used by EMS or in the Emergency Department

StudyTool/ ProgramSetting/Sample SizeReliability/ValidityOutcomes
Shah et al.(21)EMS Screening Program (falls, need for vaccination)Community-dwelling patients requesting EMS N=143 control group, 258 intervention groupFeasibility of screening for vaccination status, falls, environmental hazardsFeasibility of screening programs, reduction of risk
McCusker et al.(23)ISAR (Identification of Seniors at Risk)Four urban academic ED N=1854Test-retest reliability – 0.78(33) Predictive validity has been assessed independently(34,35)Adverse OutcomesSensitivity:72%Specificity:58%
Meldon et al.(24)TRST (Triage Risk Screening Tool)Two urban academic ED N=647Inter-rater reliability – kappa 0.94–1.0(24)/ 0.9(28)Validated by Moons et al.(35) Lee et al.(36) (moderate predictive validity )ED use (30 day) RR=1.7 (95% CI 1.2–2.3), Hospital Admission (30 day) RR=3.3 (95% CI 2.2–5.1) Sensitivity:64%Specificity:63%
Ruciman et al.(25)VEQ (Vulnerable Elderly Questionnaire)One urban ED N=48 75 years and olderInter-rater reliability not reported Validated by Moons et al.(35)Risk for readmissionSensitivity:86.4%Pecificity:38.5%
Rowland et al.(26)Seven item questionnaireOne urban ED N=450 75 years and olderInter-rater reliability not reported Validated by Moons et al.(35)Risk for readmissionSensitivity: 85%Specificity: 28%
Boyd et al.(27)BRIGHT (Brief Risk Identification for Geriatric Health Tool)One urban ED N=139 75 years and olderInter-rater reliability – n/aNo independent validationFunctional DeclineSensitivity: 76%Specificity: 79%

Frailty in Emergency Department Patients

No primary research that implemented a validated measure of frailty in the Emergency Department was identified. In the ED setting, efforts have been made to develop tools that identify older patients at risk for functional decline, readmission to the ED, or other adverse outcomes. Although these are not conceptualized as measures of frailty, their goal is to capture those patients who might be considered to be frail in their state of vulnerability. The first point of contact in the ED is triage, so it would be intuitive that risk assessment scales may be administered at this point. Triage scales are used in emergency departments to aid with assigning acuity levels to patients so priority can be given to those with more urgent medical problems. A suitable risk assessment tool in this context would have to be easily obtained and embedded into the triage process. Five risk screening tools were identified that specifically targeted older adults in the ED prior to discharge (Table 2).( The Triage Risk Screening Tool (TRST), a six-item tool comprised of yes/no questions that are completed during the triage process, has been evaluated for use in older patients being discharged from the ED.( It evaluates the presence of cognitive impairment, difficulty walking or transferring, recent falls, living alone with no available caregiver, taking five or more prescription medications, ED use in previous 30 days or hospitalization in previous 90 days, and registered nurse (assessor) concern. Two or more risk factors or the presence of cognitive impairment leads to a designation of “high risk”.( The Identification of Seniors at Risk (ISAR) is a self or caregiver-completed, six-item measure that is administered during the ED visit either upon early presentation or prior to discharge. It incorporates questions pertaining to pre-morbid and acute functional dependence, recent hospitalization (within 6 months), impaired memory, impaired vision, and polypharmacy (taking more than three medications). This tool has been demonstrated to be clinically relevant and to be predicative of adverse outcomes in a high-risk group of elderly patients.( The Brief Risk Identification for Geriatric Health Tool (BRIGHT) is a self- or caregiver-completed, 11-item measure. It has been designed for use as a postal questionnaire or can be administered within the ED in order to detect older adults that might benefit from comprehensive geriatric assessment. ( The BRIGHT requests the patient or caregiver to think about the previous three months and respond with “yes” or “no” to questions related to functional problems, shortness of breath, mobility problems, cognition, falls, self-rated health, and depression.( The final two screening tools identified were the seven-item questionnaire developed by Rowland et al.( and an eight-item questionnaire by Ruciman et al.( The seven-item screening primarily assesses function (activities of daily living (ADL) and instrumental activities of daily living (IADLs)) and mobility. A score of four or more would identify an individual at risk for re-admission. The tool developed by Ruciman et al. included questions pertaining to function, use of diuretics, presence of soft tissue injury, memory problems, difficulties with mobility, and problems urinating. The questions were derived from a pilot study evaluating the use of a health visitor intervention post-discharge from the emergency department. The eight variables were identified through logistic regression and formulated based on the opinion of ED staff. A patient was considered at risk if three or more positive responses were present.

DISCUSION

At present, no measure of frailty is being used by emergency medical services. Further, we found limited reference to mechanisms used to identify high-risk older patients. Reasons for this may be a lack of attention paid to research focused on older patients, EMS system design factors, or lack of clear understanding regarding how these tools can be applied. In general, there appears to be a paucity of geriatric presence within the EMS literature and this could be reflected in current protocols and practices. Although an operational definition of frailty has been elusive, those currently available have proven to be useful in predicting adverse outcomes. Older patients cared for by EMS may not present in a typical fashion. For the frail older patient coming into the emergency department, these so called “atypical presentations” are common.( The presence of geriatric syndromes has been shown to be predicative of prolonged hospital stay for patients admitted through the ED to medical units.( Discerning between the fit and frail patient is critical as a first step towards identifying common geriatric problems that may have an impact on care needs and outcomes. In addition, not all patients attended to by EMS are transported. A measure of frailty may be useful towards identifying vulnerable older adults in the community. Recently released quality indicators for geriatric emergency medicine, identified by Terrell et al.,( are intricately connected to frailty. Pre-hospital care providers could improve care for older adults by initiating the screening process and facilitating referral or transport to the most appropriate service. The utility of defining frailty is clear; however, a practical method of incorporating a measure of frailty into the clinical setting is more difficult. Jones et al.( demonstrated the feasibility of constructing a Frailty Index based on data collected from a Comprehensive Geriatric Assessment. Of note, it is not the nature of the deficits but rather the index value that is most predictive of outcomes.( The Rockwood-Mitnitski frailty index is relatively simple to calculate and provides a high degree of precision. Due to the broad nature of the deficits that can be included into the FI, it may be possible to create an index based upon routinely collected data from the EMS environment (e.g., patient function). Paramedics are in a unique position to document the living conditions and function of an older person within their own home. A method for capturing this important information and aggregating it in a useful format is required. EMS agencies may want to consider how the measurement of frailty can be included into current clinical practice. A decision to incorporate a measure of frailty into the clinical assessment should be guided by the purpose. ( During triage or in the pre-hospital setting, identifying whether a patient is fit or frail may be the primary concern and could lead to directing care. For this, a brief screening process such as a clinical frailty scale (rating system) or rules-based approach resembling the risk screening tools outlined in Table 2 may be appropriate and feasible in this setting. These tools are easily applied and may be able to stratify patients by level of frailty. Later, during the clinical evaluation, other measures of frailty (e.g., frailty index) may aid with identifying changes in health status and provide prognostic value (see Table 1). This approach is thought to be more cumbersome; however, it can be more precise in its ability to grade levels of frailty. In the pre-hospital setting, it may be enough to know whether someone is fit or frail; however, later in the care process when intervention options are being considered, a more precise measure may be useful in directing treatment decisions. No research focused on frailty conceptualization in the ED was identified. A persistent problem is the lack of appropriate tools designed for use or validated in the ED to aid with the assessment of the older patient. Risk-screening tools have been developed to identify patients at risk for re-admission to the ED, functional decline or death.( Although these tools are not attempting to quantify frailty, their components are related to a conceptualization of frailty (e.g., function, mobility, cognitive impairment). For older patients discharged from the emergency department, functional deficits and use of community services were predictive of re-admission.( Caplan et al.( advocated for the use of a simple screening tool on all people over 75 presenting to the ED. The TRST and ISAR screening tools have been the most-studied to date. Each brief screening instrument has demonstrated a moderate ability to predict functional decline in older ED patients.( These tools are not designed to grade frailty, and may lack the necessary precision to identify which patients may benefit most from specialized geriatric services. In older patients presenting to the Emergency Department, functional impairment is common and is a predictor for poor short-term outcomes following discharge.( It is often an unrecognized contributing factor to their ED visit.( Attempts have been made to quantify the under-recognition of cognitive impairment,( problems with function,( and other geriatric syndromes.( Evaluating frailty, depending on the measure employed, may provide a more robust measure of impairment or general health status. There is evidence that case finding with subsequent intervention can lead to improved outcomes for older people following discharge from the emergency department.( It may be possible to improve the screening process through the identification and measurement of frailty in older ED patients.

Limitations

Although our search criteria allowed us to conduct a comprehensive review of the literature, we may have missed publications on this subject matter. The primary objective of this review was to identify frailty tools (Table 1) that are currently used in the pre-hospital and emergency medicine setting. Risk-screening tools were included in this analysis, as they may identify frail older adults in the EMS/ED setting; however, this linkage has not been studied and should be the focus of further exploration. Differences in terminology between medical settings may have precluded our search criteria from identifying relevant articles in the emergency medicine literature.

Implications to Research

It is clear that more geriatric specific research is necessary in the pre-hospital setting. To improve processes of care for older patients using pre-hospital and emergency services, geriatric patients should be tracked through different nodes of care (e.g., pre-hospital, triage, clinical assessment/treatment, and discharge). The implications of frailty on care provision should be evaluated. Older patients are often not included in clinical trials or interventional research. A measure of frailty may mean an improved ability to include geriatric patients in interventional research, as the ability to stratify patients according to their overall health status will be possible. The clinical utility of frailty measurement and screening requires further investigation.

Implications to Practice

An older person who is fit but acutely unwell can benefit from aggressive “usual care”. For the older person who is frail with multiple co-morbidities and acutely unwell, complex care brought by a multidisciplinary team is recommended. ( For the frail older adult, it may be ideal to intervene early through comprehensive assessment and management of issues within the community setting. A common language of frailty is necessary to facilitate communication between health-care providers and provide a non-arbitrary way to classify relative fitness and frailty. Pre-hospital providers may be able to effectively identify those frail patients who would benefit most from specialized geriatric services. EMS providers have the advantage of interacting with patients within their own home, which provides them with a more in-depth understanding of the patient’s environment, social supports, and family dynamics. Collating this information with frailty measurement may lead to improvements in processes of care, possibly through early identification and referral to geriatric services.

CONCLUSION

To our knowledge, this is the first comprehensive review that aggregates research pertaining to frailty in the pre-hospital and emergency medicine literature. There is a paucity of geriatric specific research on frailty in the pre-hospital literature. A number of approaches to frailty conceptualization and measurement are evident. Each approach has certain benefits. A standardized approach to frailty assessment is warranted in order to detect and document common geriatric problems (e.g., cognitive impairment, functional impairment, social vulnerability, and mobility impairment) and guide care provision in this setting. Any measure of frailty used by EMS must be designed to address the challenges of clinical care encountered in this setting and must be rigorously evaluated. It is clear, based upon our review, that little attention has been focused on this construct in the pre-hospital and emergency medicine literature. Efforts should be devoted towards developing tools to aid with discerning between fitness and frailty in older adults requiring emergency services, as their care needs will be dependent on this distinction.
  37 in total

1.  Risk of admission within 4 weeks of discharge of elderly patients from the emergency department--the DEED study. Discharge of elderly from emergency department.

Authors:  G A Caplan; A Brown; W D Croker; J Doolan
Journal:  Age Ageing       Date:  1998-11       Impact factor: 10.668

2.  The discharge of elderly patients from an accident and emergency department: functional changes and risk of readmission.

Authors:  K Rowland; A K Maitra; D A Richardson; K Hudson; K W Woodhouse
Journal:  Age Ageing       Date:  1990-11       Impact factor: 10.668

3.  Frailty in older adults: evidence for a phenotype.

Authors:  L P Fried; C M Tangen; J Walston; A B Newman; C Hirsch; J Gottdiener; T Seeman; R Tracy; W J Kop; G Burke; M A McBurnie
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2001-03       Impact factor: 6.053

4.  The prevalence and documentation of impaired mental status in elderly emergency department patients.

Authors:  Fredric M Hustey; Stephen W Meldon
Journal:  Ann Emerg Med       Date:  2002-03       Impact factor: 5.721

Review 5.  Older adults in the emergency department: a systematic review of patterns of use, adverse outcomes, and effectiveness of interventions.

Authors:  Faranak Aminzadeh; William Burd Dalziel
Journal:  Ann Emerg Med       Date:  2002-03       Impact factor: 5.721

6.  Detection of older people at increased risk of adverse health outcomes after an emergency visit: the ISAR screening tool.

Authors:  J McCusker; F Bellavance; S Cardin; S Trépanier; J Verdon; O Ardman
Journal:  J Am Geriatr Soc       Date:  1999-10       Impact factor: 5.562

7.  Rapid emergency department intervention for older people reduces risk of functional decline: results of a multicenter randomized trial.

Authors:  J McCusker; J Verdon; P Tousignant; L P de Courval; N Dendukuri; E Belzile
Journal:  J Am Geriatr Soc       Date:  2001-10       Impact factor: 5.562

8.  A brief risk-stratification tool to predict repeat emergency department visits and hospitalizations in older patients discharged from the emergency department.

Authors:  Stephen W Meldon; Lorraine C Mion; Robert M Palmer; Barbara L Drew; Jason T Connor; Linda J Lewicki; David M Bass; Charles L Emerman
Journal:  Acad Emerg Med       Date:  2003-03       Impact factor: 3.451

9.  Quality indicators for geriatric emergency care.

Authors:  Kevin M Terrell; Fredric M Hustey; Ula Hwang; Lowell W Gerson; Neil S Wenger; Douglas K Miller
Journal:  Acad Emerg Med       Date:  2009-03-30       Impact factor: 3.451

10.  Screening for geriatric problems in the emergency department: reliability and validity. Identification of Seniors at Risk (ISAR) Steering Committee.

Authors:  J McCusker; F Bellavance; S Cardin; S Trépanier
Journal:  Acad Emerg Med       Date:  1998-09       Impact factor: 3.451

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1.  Frailty Assessment Predicts Acute Outcomes in Patients Undergoing Screening Colonoscopy.

Authors:  Sasha Taleban; Nima Toosizadeh; Shilpa Junna; Todd Golden; Sehem Ghazala; Rita Wadeea; Coco Tirambulo; Jane Mohler
Journal:  Dig Dis Sci       Date:  2018-05-24       Impact factor: 3.199

2.  Frailty among Mexican community-dwelling elderly: a story told 11 years later. The Mexican Health and Aging Study.

Authors:  Sara G Aguilar-Navarro; Hélène Amieva; Luis Miguel Gutiérrez-Robledo; José Alberto Avila-Funes
Journal:  Salud Publica Mex       Date:  2015

3.  Return to the ED and hospitalisation following minor injuries among older persons treated in the emergency department: predictors among independent seniors within 6 months.

Authors:  Jacques Lee; Marie-Josee Sirois; Lynne Moore; Jeffrey Perry; Raoul Daoust; Lauren Griffith; Andrew Worster; Eddy Lang; Marcel Emond
Journal:  Age Ageing       Date:  2015-05-05       Impact factor: 10.668

4.  The burden of malnutrition & frailty in patients with coronary artery disease: An under-recognized problem.

Authors:  Samiullah Arshad; Samina Khan; Adham Karim; Vedant A Gupta
Journal:  JRSM Cardiovasc Dis       Date:  2022-05-26

5.  Instrumented Trail-Making Task: Application of Wearable Sensor to Determine Physical Frailty Phenotypes.

Authors:  He Zhou; Javad Razjouyan; Debopriyo Halder; Anand D Naik; Mark E Kunik; Bijan Najafi
Journal:  Gerontology       Date:  2018-10-25       Impact factor: 5.140

6.  Upper-Extremity Function Predicts Adverse Health Outcomes among Older Adults Hospitalized for Ground-Level Falls.

Authors:  Bellal Joseph; Nima Toosizadeh; Tahereh Orouji Jokar; Michelle R Heusser; Jane Mohler; Bijan Najafi
Journal:  Gerontology       Date:  2016-12-10       Impact factor: 5.140

7.  Measuring Frailty Can Help Emergency Departments Identify Independent Seniors at Risk of Functional Decline After Minor Injuries.

Authors:  Marie-Josée Sirois; Lauren Griffith; Jeffrey Perry; Raoul Daoust; Nathalie Veillette; Jacques Lee; Mathieu Pelletier; Laura Wilding; Marcel Émond
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2015-09-22       Impact factor: 6.053

8.  Making our health and care systems fit for an ageing population: considerations for Canada.

Authors:  Melissa K Andrew; Kenneth Rockwood
Journal:  Can Geriatr J       Date:  2014-12-02

Review 9.  Comprehensive geriatric assessment in the emergency department.

Authors:  Graham Ellis; Trudi Marshall; Claire Ritchie
Journal:  Clin Interv Aging       Date:  2014-11-24       Impact factor: 4.458

10.  The probability of having advanced medical interventions is associated with age in out-of-hospital life-threatening situations.

Authors:  Vania Tavares; Pierre-Nicolas Carron; Bertrand Yersin; Patrick Taffé; Bernard Burnand; Valérie Pittet
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2016-08-24       Impact factor: 2.953

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