Definition and assessment of frailty in older patients: the surgical, anaesthesiological and oncological perspective
Lorenzo Dottorini1, Luca Turati2, Luca Mattei3 and Paolo Formenti4
1Oncology Unit, Medical Sciences Department, ASST Bergamo Est, Alzano Lombardo (BG), 24022, Italy
2Surgical Oncology Unit, Treviglio Hospital, Treviglio (BG), 24047, Italy
3Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico C. Besta, Milan, 20100, Italy
4SC Anestesia e Rianimazione, Ospedale San Paolo—Polo Universitario, ASST Santi Paolo e Carlo, Milan, 20100, Italy
The number of oncology, surgery and anaesthesia procedures in older patients has greatly increased in recent years due to ageing populations. Older patients are typically characterised by physical changes such as comorbidities, decline in physiological activities and cognitive impairment. All these factors, together with polypharmacological therapies, may substantially impact perioperative outcome, quality of recovery and, more in general, quality of life. A comprehensive multidisciplinary approach to perioperative care is thus needed. The assessment of frailty has a central role in the pre-operative evaluation of older patients and, with a multidisciplinary approach. The best surgical procedures and oncologic therapies can be accurately discussed in the pre- and post-operative periods. All clinicians involved in this scenario should be proactive in multidisciplinary care to achieve better outcomes.
Keywords: elderly, surgery, anaesthetist, oncologist, geriatric, assessment
Correspondence to: Lorenzo Dottorini
Publication costs for this article were supported by ecancer (UK Charity number 1176307).
Copyright: © the authors; licensee ecancermedicalscience. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Introduction and background
It is well known that cancer is typically an age-related disease with approximately 60% of all newly diagnosed malignant tumours and 70% of all cancer deaths occurring in persons aged 65 years or older . This older population growth raises the question of selecting those patients who will be able to tolerate surgical and anticancer treatments. In fact, it is supposed that almost 50% of patients >70 years will experience severe chemotherapy-related toxicity , and 60% will have post-operative complications after colorectal cancer surgery, 78% of which will be severe ones . One of the most difficult things when setting up a therapeutic programme for an older patient is to estimate the risk/benefit balance of any therapeutic proposal for each of them. In fact, ageing is a highly heterogeneous process, and sometimes, the so-called ‘clinical eye’ is not able to take into account the individual quality, physiological reserves, family context and the potential risks of the planned chemotherapy treatment or surgery. A great number of tools and scales have been developed to identify the ‘frail’ patients, but a clear and universally recognised definition of frailty is still debated. With this paper, we aim to define the state of the art in surgical, anaesthesiological and oncological patients.
The surgical point of view
The constant and progressive ageing of the population in recent years has led to an increase in the number of surgeries in older cancer patients and consequently also the risk of mortality and morbidity after such operations . In the past decades, increasing evidence of scientific literature showed the importance of a comprehensive geriatric assessment (CGA) before surgery in older patients . Moreover, the American College of Surgeons (ACS), the American Geriatric Society and the International Society of Geriatric Oncology (SIOG) recommend the evaluation of older patient in perioperative setting . A recent study by Ghignone et al  recruited a SIOG surgical task force and made a survey on surgeons’ attitude on older patients. They found that only 6% of surgeons used CGA in pre-operative setting, only 8% asked about activity of daily living (ADL) and instrumental activity of daily living (IADL) and interaction with geriatricians was low (36%), demonstrating how in everyday clinical practice a deep assessment of older patient is still unusual. Historically, patients about to undergo surgery are evaluated with the American Society of Anaesthesiologists (ASA) score , but recent scientific evidence showed the limit of this evaluation and the importance of a deeper evaluation, especially in older patients. Pope et al  developed a tool called ‘Preoperative Assessment in Elderly Cancer Patients’ (PACE) which considers parameters as cognition, functional status (ADL and IADL), depression, comorbidities, ASA score, ECOG performance status and fatigue to define which patients could be at risk for surgical complications. A further SIOG surgical task force prospective study by Audisio et al  evaluated the PACE tool on 460 consecutive older patients undergoing surgery. The authors demonstrated how a decrease in parameters included in PACE tool was associated with a 50% increase in the relative risk of post-operative complications; particularly, a moderate/severe fatigue, a dependent IADL and an abnormal performance status were seen to be the most important independent predictors of post-surgical complications. Min et al  assessed the Vulnerable Elders Surgical Pathways and Outcomes Assessment (VESPA) tool in pre-operative setting. VESPA tool included the evaluation of six basic activities of daily living items (bathing, dressing, transferring, feeding, grooming and toileting), eight instrumental activities of daily living items (medication administration, meal preparation, telephone use, transportation, shopping, housekeeping, laundry and finances), gait speed, mobility, number of fall in the past year and the Timed Up and Go (TUG) test and also introduced a new item in literature with the question made to the patient: ‘Can you manage by yourself for several hours alone after your procedure (outpatient)/after discharge (inpatient)?’. They evaluated a total of 711 patients and found out that the number of difficulties with the activities of daily living, anticipated difficulty with postoperative self-care, Charlson comorbidity score of 2 or more versus less than 2, male sex and work-related relative value units were independently associated with postoperative complications. The conclusion of the authors is that a pre-operative assessment could be performed by non-surgeon healthcare personnel and could help to identify patients at a higher risk of post-operative complications. A further prospective study by Pollock et al  evaluated 476 patients undergoing oncologic surgery with VESPA tool, finding that patients with high VESPA score (≥9) had a longer length of stay in hospital (6.6 versus 2 days), more geriatric complications (39.5% versus 5.7%), more surgical complications (29.5% versus 11.8%) and more post-discharge needs confirming the potential utility of this tool in pre-operative setting. Montroni et al  proposed a therapeutic algorithm for the management of elderly patients with rectal cancer identifying in G8 score (a screening test for vulnerability in older patients), Mini-Cog score, TUG test and history of falls, the most important factors predicting a possible frailty and suggesting that patients with a deficiency in one of these tests underwent a more in-depth geriatric evaluation to decide whether the surgical treatment should, therefore, be personalised or standard. The same authors subsequently investigated the Geriatric Oncology Surgical Assessment and Functional rEcovery . The trial prospectively evaluated, with a 30- and 90-day follow-up, 417 patients >70 years undergoing surgery with a baseline complete geriatric assessment. The study showed that a complete pre-surgical geriatric evaluation is possible in everyday clinical practice and that a condition of frailty is very often present in pre-surgical assessment, and an interim analysis showed the possible impact of assessing surgical outcomes and quality of life of those patients; further follow-up will better clarify the role of geriatric assessment on surgery. The American College of Surgeons National Surgical Quality Improvement Programme (ACS NSQIP) developed a risk calculator validated on 1,414,006 patients with the goal to provide accurate, patient-specific risk information to guide both surgical decision-making and informed consent; ACS NSQIP uses 20 patient predictors and the planned procedure to predict the chance that patients will have any of 18 defined outcomes within 30 days following surgery .
The anaesthesiological point of view
Older patients are at an increased risk of surgical complications, and this makes pre-operative evaluation by an anaesthesiologist more difficult . As mentioned above, the ASA score is one of the most commonly recorded physical classification systems . Many studies indicate the relationship between the ASA score and morbidity, mortality, hospitalisation, postoperative infections and healthcare costs in both pre- and post-operative settings [18, 19]. Despite its wide use, the ASA score has some limitations: first, it is a subjective assessment. In fact, it is not uncommon that two anaesthetists differ in the ASA score when they assign to a particular patient. Second, the ASA score seems not to be enough to fully evaluate older patients. Increasing scientific evidence suggests that elements from a geriatric assessment, such as functional status, comorbidity, cognitive function, nutritional status and depression, are more sensitive and specific predictors of surgical outcomes in older patients with cancer [9, 10, 20, 21]. The objective measurements of physical functions have been tested in pre-operative setting: the slow gait speed is a simple test assessing the time for a patient to walk 5 m in > 6 seconds, and its use in this setting has been associated with a higher risk of mortality and morbidity after cardiac surgery . For instance, the cardiopulmonary exercise testing is a specific evaluation of cardiorespiratory reserve able to simulate the levels of physical stress to which a patient is subjected during surgery . It allows identifying cardiopulmonary comorbidities never highlighted before the test, surely incremented in older patients. Impaired functional capacity and reduced cardiopulmonary function have been associated with all-cause mortality after major elective intra-abdominal surgery, complications and hospital length of stay [24, 25]. The assessment of nutritional status in older patients undergoing surgery seems to play a key role in clinical outcome . The most important factors to evaluate the nutritional status of patients are significant weight loss, low body mass index, hypo-albuminemia and significant and sustained reduction in food intake [27, 28]. The causes can be related to functional decline, presence of comorbidities, increased symptom burden, psychosocial determinants and anticancer treatments. All these causes can lead to a global anorexia–cachexia syndrome which is seen in approximately 50% of cancer patients and is responsible for increased post-operative complications, mortality and increased length of hospitalisation [29, 30]. Even the evaluation of the home therapy must be accurate, it is well known that pharmacokinetics in older patients is influenced by physiological reduction of renal function  and is not unusual to find, in older patients, an increased proportion of body fat with a decreased proportion of body water with a consequent modification of the volume distribution for lipid-soluble and water-soluble drugs . In addition, we have to consider also the possible use of anticancer or major analgesic therapies, and this could lead to dangerous interactions with anaesthesiological drugs [33, 34]. When focusing on specific anaesthesiological drugs, it is important to notice that the minimum alveolar concentration of all inhalation agents decreases with age to values up to 30% lower in 80 years’ patients so that the concentrations of drugs must be lower for a given depth of anaesthesia . The dosing of induction agents such as thiopental must be well verified because it is well known that the sleep-dose requirement of thiopental decreases with age, possibly due to changes in pharmacokinetics rather than pharmacodynamics [36, 37]. This interaction could lead to a prolonged awakening time. In general, we can state that the agent’s induction dose is lower in older patients and the induction/awakening times are pro-longed. Thus, a careful titration of the dose is mandatory in order to avoid hemodynamic instability and prolonged awakening time.
The oncological point of view
The definition of frailty in geriatric oncology is very difficult, and still, there is no universal consensus about the right definition. Frailty in oncology could be defined as an impairment of at least one of the four geriatric domains evaluated with CGA [38, 39]. The CGA is an evaluation of older patient, with the purpose of planning healthcare assistance [40, 41]. It consists of a series of tests and evaluations, which can help the clinician to better understand the global health status of the patient. CGA is able to uncover problems that would not, otherwise, be identified by a routine history and can predict the risk of chemotherapy toxicity, as well as functional decline and mortality, and its use is recommended by the ASCO international guidelines . One of the biggest problems of CGA is very long to administer and time consuming, so, in everyday clinical practice, it is very difficult to be applied. Some alternative screening tools, such as Geriatric 8 (G8) and Vulnerable Elderly Survey-13 (VES-13), have been proposed to select which patients could benefit from a complete evaluation with a CGA [39, 42]. G8 is an eight-item tool derived from Mini Nutritional Assessment (MNA). It includes questions related to food intake, weight loss, mobility, neuropsychological problems, body mass index, medication use, self-rated health and age . Bellera et al  validated the G8 on a population of 364 elderly patients affected by different tumours undergoing a first-line chemotherapy and showed good sensitivity and specificity (85% and 65%, respectively). Clinical trials demonstrated that G8 is strongly prognostic for functional decline on ADLs/IADLs and overall survival . Furthermore, an association with early mortality  and a potential role in predicting side effects even in non-chemotherapy treatments have been demonstrated . VES-13 is a scale containing 13 questions considering age, self-assessment of health and possible difficulties in performing functional and physical activities . VES-13 was validated by Luciani et al  in a study of 648 patients aged >65 years with solid or hematologic malignancies and demonstrated that patients who were vulnerable according to the VES-13 were at significantly increased risk of haematologic and non-haematologic toxicity. According to the national and international guidelines, patients with impairments in VES-13 domains should undergo a full CGA . VES-13 score has been shown to be associated with mortality, chemotherapy toxicity and functional decline . Even more specific tools for assessing the risk of chemotherapy toxicity were validated in the past decades: the Cancer and Ageing Research Group (CARG) score was developed by Hurria et al  and consists of a predictive model for chemotherapy toxicity; CARG score consists of 11 items including age of the patients, type of cancer (gastrointestinal or genitourinary cancer versus other), number of chemotherapeutic drugs (mono versus polychemotherapy), dosing of chemotherapy (standard versus reduced dose), laboratory factors (creatinine clearance and level of haemoglobin) and geriatric assessment variables (hearing, number of falls in the past 6 months, ability in taking medicine, ability to walk one block and social activity) . CARG score was validated in patients >65 years, is freely available online, takes 5 minutes to be done and calculates the estimated risk of any grade 3 to 5 toxicity. Extermann et al  developed the chemotherapy risk assessment scale for high-age patients (CRASH) score for patients aged > 70 years. This tool considers IADL, lactate dehydrogenase value, diastolic blood pressure and published toxicity of the chemotherapy drugs as predictive for haematological toxicity. Other factors such as malnutrition (evaluated with MNA score ), cognition (evaluated with mini-mental status examination—MMSE score ) and ECOG Performance Status score  were the predictors of non-haematological toxicity. CRASH takes longer than CARG, usually up to 20 minutes, and it is able to evaluate the risk of haematological and non-haematological chemotherapy toxicity and is recommended by the international guidelines. Besides the evaluations already described, the other evaluations of older patients are recommended as a fundamental part of the global evaluation of the patient: the evaluation of IADL  is recommended, and several studies demonstrated how an impairment in any of the areas considered are associated with the risk of chemotherapy toxicity, mortality, hospitalisations and functional decline . Falls are common in older patients, and its evaluation is important: a simple question ‘how many falls have you had over the last six months’ must be done before starting a treatment because falls have been associated with chemotherapy toxicity. A complete anamnestic collection is important to evaluate the number of comorbidities of the patients, which are associated with the risk of chemotherapy toxicity, poorer survival, mortality and hospitalisations. Moreover, the evaluation of depression with validated geriatric depression scale plays an important role in the evaluation of older patients; indeed, a state of depression has been associated with unexpected hospitalisations, treatments tolerance, mortality and functional decline . Assessing the cognition in older patient should be a key part in geriatric evaluation: the use of validated tools such MMSE or Mini-Cog is recommended by international guidelines, and a low score in these evaluations has been associated with poorer survival and increased chemotherapy toxicity risk .
This review was intended to highlight the current oncological, surgical and anaesthesiological knowledge concerning the elderly population. With the review of the literature, it is clear that the multidimensional geriatric evaluation represents an extremely useful and important tool in everyday clinical practice for all older patients undergoing surgery or oncologic treatments. Their careful pre-surgical evaluation and precautions even during surgery could avoid many complications during surgery and during post-operative stay in hospital, but, unfortunately, we have seen that, in real-life, there are few surgeons and surgical centres that apply this evaluation model. We hope that, in the future, older patients will gain attention from the medical class because, given the constant increase in the average age, the number of these patients will increase more and more, and willingly or not, all health professionals will have to interface with this population.
Conflicts of interest
The authors declare that they have no conflicts of interest.
No funding was received.
1. Ferlay J, Colombet M, and Soerjomataram I, et al (2018) Cancer incidence and mortality patterns in Europe: estimates for 40 countries and 25 major cancers in 2018 Eur J Cancer 103 356–387 https://doi.org/10.1016/j.ejca.2018.07.005 PMID: 30100160
2. Extermann M, Boler I, and Reich RR, et al (2012) Predicting the risk of chemotherapy toxicity in older patients: the chemotherapy risk assessment scale for high-age patients (CRASH) score Cancer 118 3377–3386 https://doi.org/10.1002/cncr.26646
3. Lee YH, Oh H-K, and Kim D-W, et al (2016) Use of a comprehensive geriatric assessment to predict short-term postoperative outcome in elderly patients with colorectal cancer Ann Coloproctol 32 161–169 https://doi.org/10.3393/ac.2016.32.5.161 PMID: 27847786 PMCID: 5108662
5. Eamer G, Taheri A, and Chen SS, et al (2018) Comprehensive geriatric assessment for older people admitted to a surgical service Cochrane Database Syst Rev 1 CD012485 https://doi.org/10.1002/14651858.CD012485.pub2 PMID: 29385235 PMCID: 6491328
6. Kotwal AA, Presley CJ, and Loh KP, et al (2019) Geriatric oncology research at the 2019 American Geriatrics Society (AGS) annual meeting: joint perspectives from the young international society of geriatric oncology (SIOG) and AGS cancer and aging special interest group J Geriatr Oncol 10 994–997 https://doi.org/10.1016/j.jgo.2019.06.008 PMID: 31272896 PMCID: 6814544
7. Ghignone F, van Leeuwen BL, and Montroni I, et al (2016) The assessment and management of older cancer patients: a SIOG surgical task force survey on surgeons’ attitudes Eur J Surg Oncol 42 297–302 https://doi.org/10.1016/j.ejso.2015.12.004 PMID: 26718329
8. Doyle DJ and Garmon EH (2019) American Society of Anesthesiologists Classification (ASA Class) (Treasure Island, FL: StatPearls Publishing)
9. Pope D, Ramesh H, and Gennari R, et al (2006) Pre-operative assessment of cancer in the elderly (PACE): a comprehensive assessment of underlying characteristics of elderly cancer patients prior to elective surgery Surg Oncol 15 189–197 https://doi.org/10.1016/j.suronc.2007.04.009
10. Audisio RA, Bozzetti F, and Gennari R, et al (2004) The surgical management of elderly cancer patients; recommendations of the SIOG surgical task force Eur J Cancer 40 926–938 https://doi.org/10.1016/j.ejca.2004.01.016 PMID: 15093567
12. Pollock Y, Chan C-L, and Hall K, et al (2019) A novel geriatric assessment tool that predicts postoperative complications in older adults with cancer J Geriatr Oncol 11(5) 866–872 https://doi.org/10.1016/j.jgo.2019.09.013 PMID: 31699673 PMCID: 7196495
13. Montroni I, Ugolini G, and Saur NM, et al (2018) Personalized management of elderly patients with rectal cancer: expert recommendations of the European Society of Surgical Oncology, European Society of Coloproctology, International Society of Geriatric Oncology, and American College of Surgeons Commission on Cancer Eur J Surg Oncol 44 1685–1702 https://doi.org/10.1016/j.ejso.2018.08.003 PMID: 30150158
14. Montroni I, Rostoft S, and Spinelli A, et al (2019) GOSAFE - Geriatric oncology surgical assessment and functional rEcovery after Surgery: early analysis on 977 patients J Geriatr Oncol 11(2) 244–255 https://doi.org/10.1016/j.jgo.2019.06.017 PMID: 31492572
15. Bilimoria KY, Liu Y, and Paruch JL, et al (2013) Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons J Am Coll Surg 217 833–842.e1–3 https://doi.org/10.1016/j.jamcollsurg.2013.07.385 PMID: 24055383 PMCID: 3805776
17. Wolters U, Wolf T, and Stützer H, et al (1996) ASA classification and perioperative variables as predictors of postoperative outcome Br J Anaesth 77 217–222 https://doi.org/10.1093/bja/77.2.217 PMID: 8881629
18. Kastanis G, Topalidou A, and Alpantaki K, et al (2016) Is the ASA score in geriatric hip fractures a predictive factor for complications and readmission? Scientifica (Cairo) 2016 7096245 https://doi.org/10.1155/2016/7096245
19. Sauvanet A, Mariette C, and Thomas P, et al (2005) Mortality and morbidity after resection for adenocarcinoma of the gastroesophageal junction: predictive factors J Am Coll Surg 201 253–262 https://doi.org/10.1016/j.jamcollsurg.2005.02.002 PMID: 16038824
20. Parks RM, Lakshmanan R, and Winterbottom L, et al (2012) Comprehensive geriatric assessment for older women with early breast cancer – a systematic review of literature World J Surg Oncol 10 88 https://doi.org/10.1186/1477-7819-10-88
21. Kristjansson SR, Nesbakken A, and Jordhøy MS, et al (2010) Comprehensive geriatric assessment can predict complications in elderly patients after elective surgery for colorectal cancer: a prospective observational cohort study Crit Rev Oncol Hematol 76 208–217 https://doi.org/10.1016/j.critrevonc.2009.11.002
22. Afilalo J, Eisenberg MJ, and Morin J-F, et al (2010) Gait speed as an incremental predictor of mortality and major morbidity in elderly patients undergoing cardiac surgery J Am Coll Cardiol 56 1668–1676 https://doi.org/10.1016/j.jacc.2010.06.039 PMID: 21050978
23. Piepoli MF, Corrà U, and Agostoni P (2017) Cardiopulmonary exercise testing in patients with heart failure with specific comorbidities Ann Am Thorac Soc 14 S110–S115 https://doi.org/10.1513/AnnalsATS.201610-803FR PMID: 28380304
24. Wilson RJT, Davies S, and Yates D, et al (2010) Impaired functional capacity is associated with all-cause mortality after major elective intra-abdominal surgery Br J Anaesth 105 297–303 https://doi.org/10.1093/bja/aeq128 PMID: 20573634
25. Submaximal cardiopulmonary exercise testing predicts complications and hospital length of stay in patients undergoing major elective surgery [https://www.ncbi.nlm.nih.gov/pubmed/20134313] Date accessed: 16/01/20
28. Sikder T, Maimon G, and Sourial N, et al (2018) Assessing the effect of preoperative nutrition on upper body function in elderly patients undergoing elective abdominal surgery JPEN J Parenter Enteral Nutr 42 566–572 https://doi.org/10.1177/0148607117703956
30. Blanc-Bisson C, Fonck M, and Rainfray M, et al (2008) Undernutrition in elderly patients with cancer: target for diagnosis and intervention Crit Rev Oncol Hematol 67 243–254 https://doi.org/10.1016/j.critrevonc.2008.04.005 PMID: 18554922
31. Mangoni AA and Jackson SHD (2004) Age-related changes in pharmacokinetics and pharmacodynamics: basic principles and practical applications Br J Clin Pharmacol 57 6–14 https://doi.org/10.1046/j.1365-2125.2003.02007.x
33. Hurria A, Togawa K, and Mohile SG, et al (2011) Predicting chemotherapy toxicity in older adults with cancer: a prospective multicenter study J Clin Oncol 29 3457–3465 https://doi.org/10.1200/JCO.2011.34.7625 PMID: 21810685 PMCID: 3624700
35. Advance of age decreases the minimum alveolar concentrations of isoflurane and sevoflurane for maintaining bispectral index below 50 [https://www.ncbi.nlm.nih.gov/pubmed/19168857] Date accessed: 16/01/20
37. Homer TD and Stanski DR (1985) The effect of increasing age on thiopental disposition and anesthetic requirement Anesthesiology 62 714–724 https://doi.org/10.1097/00000542-198506000-00004 PMID: 4003792
38. Pal SK, Katheria V, and Hurria A (2010) Evaluating the older patient with cancer: understanding frailty and the geriatric assessment CA Cancer J Clin 60 120–132 https://doi.org/10.3322/caac.20059 PMID: 20173172
39. Mohile SG, Dale W, and Somerfield MR, et al (2018) Practical assessment and management of vulnerabilities in older patients receiving chemotherapy: ASCO guideline for geriatric oncology J Clin Oncol 36 2326–2347 https://doi.org/10.1200/JCO.2018.78.8687 PMID: 29782209 PMCID: 6063790
40. Monfardini S, Ferrucci L, and Fratino L, et al (1996) Validation of a multidimensional evaluation scale for use in elderly cancer patients Cancer 77 395–401 https://doi.org/10.1002/(SICI)1097-0142(19960115)77:2<395::AID-CNCR24>3.0.CO;2-W PMID: 8625250
43. Seematter-Bagnoud L and Büla C (2018) Brief assessments and screening for geriatric conditions in older primary care patients: a pragmatic approach Public Health Rev 39 8 https://doi.org/10.1186/s40985-018-0086-7 PMID: 29744236 PMCID: 5928588
44. Bellera CA, Rainfray M, and Mathoulin-Pélissier S, et al (2012) Screening older cancer patients: first evaluation of the G-8 geriatric screening tool Ann Oncol 23 2166–2172 https://doi.org/10.1093/annonc/mdr587 PMID: 22250183
46. Hamaker ME, Jonker JM, and de Rooij SE, et al (2012) Frailty screening methods for predicting outcome of a comprehensive geriatric assessment in elderly patients with cancer: a systematic review Lancet Oncol 13 e437–444 https://doi.org/10.1016/S1470-2045(12)70259-0 PMID: 23026829
47. Dottorini L, Catena L, and Sarno I, et al (2019) The role of Geriatric screening tool (G8) in predicting side effect in older patients during therapy with aromatase inhibitor J Geriatr Oncol 10 356–358 https://doi.org/10.1016/j.jgo.2018.10.007
48. Estimating the risk of chemotherapy toxicity in older patients with cancer: The role of the Vulnerable Elders Survey-13 (VES-13) [https://www.ncbi.nlm.nih.gov/pubmed/26088748] Date accessed: 16/06/20
49. Luciani A, Biganzoli L, and Colloca G, et al (2015) Estimating the risk of chemotherapy toxicity in older patients with cancer: the role of the vulnerable elders survey-13 (VES-13) J Geriatr Oncol 6(4) 272–279 https://doi.org/10.1016/j.jgo.2015.02.005 PMID: 26088748
50. Loh KP, Soto-Perez-de-Celis E, and Hsu T, et al (2018) What every oncologist should know about geriatric assessment for older patients with cancer: young international society of geriatric oncology position paper J Oncol Pract 14 85–94 https://doi.org/10.1200/JOP.2017.026435 PMID: 29436306 PMCID: 5812308
51. Ferrero A, Villa M, and Tripodi E, et al (2018) Can vulnerable elders survey-13 predict the impact of frailty on chemotherapy in elderly patients with gynaecological malignancies? Medicine (Baltimore) 97(39) e12298 https://doi.org/10.1097/MD.0000000000012298
52. Vellas B, Guigoz Y, and Garry PJ, et al (1999) The Mini Nutritional Assessment (MNA) and its use in grading the nutritional state of elderly patients Nutrition 15 116–122 https://doi.org/10.1016/S0899-9007(98)00171-3 PMID: 9990575
53. Arevalo‐Rodriguez I, Smailagic N, and Roqué i Figuls M, et al (2015) Mini‐mental state examination (MMSE) for the detection of Alzheimer’s disease and other dementias in people with mild cognitive impairment (MCI) Cochrane Database Syst Rev 2015(3) CD010783 https://doi.org/10.1002/14651858.CD010783.pub2
54. Datta SS, Ghosal N, and Daruvala R, et al (2019) How do clinicians rate patient’s performance status using the ECOG performance scale? A mixed-methods exploration of variability in decision-making in oncology Ecancermedicalscience 13 913 https://doi.org/10.3332/ecancer.2019.913
55. Finlayson M, Mallinson T, and Barbosa VM (2005) Activities of daily living (ADL) and instrumental activities of daily living (IADL) items were stable over time in a longitudinal study on aging J Clin Epidemiol 58 338–349 https://doi.org/10.1016/j.jclinepi.2004.10.008 PMID: 15862719
56. Hopkins RO, Suchyta MR, and Kamdar BB, et al (2017) Instrumental activities of daily living after critical illness: a systematic review Ann Am Thorac Soc 14 1332–1343 https://doi.org/10.1513/AnnalsATS.201701-059SR PMID: 28463657 PMCID: 5566273