| Literature DB >> 31802876 |
Nikoletta Rahel Czobor1,2, Jean-Jacques Lehot3,4, Eniko Holndonner-Kirst1, Phillip J Tully5, Janos Gal6, Andrea Szekely6,7.
Abstract
Frailty is presumably associated with an elevated risk of postoperative mortality and adverse outcome in vascular surgery patients. The aim of our review was to identify possible methods for risk assessment and prehabilitation in order to improve recovery and postoperative outcome. The literature search was performed via PubMed, Embase, OvidSP, and the Cochrane Library. We collected papers published in peer-reviewed journals between 2001 and 2018. The selection criterion was the relationship between vascular surgery, frailty and postoperative outcome or mortality. A total number of 52 publications were included. Frailty increases the risk of non-home discharge independently of presence or absence of postoperative complications and it is related to a higher 30-day mortality and major morbidity. The modified Frailty Index showed significant association with elevated risk for post-interventional stroke, myocardial infarction, prolonged in-hospital stays and higher readmission rates. When adjusted for comorbidity and surgery type, frailty seems to impact medium-term survival (within 2 years). Preoperative physical exercising, avoidance of hypalbuminemia, psychological and cognitive training, maintenance of muscle strength, adequate perioperative nutrition, and management of smoking behaviours are leading to a reduced length of stay and a decreased incidence of readmission rate, thus improving the effectiveness of early rehabilitation. Pre-frailty is a dynamically changing state of the patient, capable of deteriorating or improving over time. With goal-directed preoperative interventions, the decline can be prevented.Entities:
Keywords: patient management; postoperative outcome; prehabilitation; preoperative risk assessment
Year: 2019 PMID: 31802876 PMCID: PMC6802734 DOI: 10.2147/TCRM.S217717
Source DB: PubMed Journal: Ther Clin Risk Manag ISSN: 1176-6336 Impact factor: 2.423
Figure 1Flow chart of literature research process.
Note: PRISMA format used.108
Publications Reporting The Effects Of Frailty On Patients Undergoing Vascular Procedures
| Reference | Study Population | Measure Of Frailty | Results |
|---|---|---|---|
| Jeon-Slaughter H. et al (2017) | 1084 patients’ propensity matched data who underwent 1702 endovascular procedures (449 men and 449 women). | Frailty hazard ratios | Women are at a lower risk of mortality than men; however, they underwent significantly more frequent repeat 12-month revascularization procedures. |
| Morisaki K. et al (2017) | Retrospective, 266 patients undergoing infrapopliteal revascularization. Primary end-point: 2-year amputation-free survival (AFS). | CLI Frailty Index compared with mFI | The CLI Frailty Index is a risk factor for 2-year AFS after revascularization. |
| Ali TZ et al (2017) revascularizations | Retrospective, 4704 patients (64% men and 36% women) undergoing infrainguinal arterial bypass surgery. | mFI | Patients with mFI score of 0.54–0.63 were at significantly higher risk of mortality and postoperative complications, beside black race, dialysis dependency, renal insufficiency, MI and acute renal failure. |
| Hayashi K. et al (2017) | 70 patients undergoing open AAA surgery. | HADS-A, 6MWD, SEPA | Preoperative self-efficacy predicted postoperative 6MWD after AAA surgery, which could predict and improve the effectiveness of postoperative rehabilitation. |
| O’Neill B.R. et al (2016) | Retrospective review and follow-up of 392 patients (Male/Female 317/75) undergoing vascular surgery. | Complex, unspecified | The hazard ratio for mortality for frail vs not-frail was 2.14 (95% CI 1.51–3.05). The time to 20% mortality: 16 months in the frail group; 33 months in the not-frail group. |
| Drudi et al (2016) | Retrospective, 149 patients (84% male, 16% female) undergoing endovascular or open AAA repair. | Psoas muscle area at L4 | In a Cox-regression analysis adjusted for age, sex, revised cardiac risk index and surgical approach), PMA showed significant association with postoperative all-cause mortality (mean follow-up: 22.4 months). |
| Ehlert et al (2016) | Retrospective, data derived from ACS NSQIP, 72,106 patients (approximately 70% male in the differently examined groups) undergoing carotid revascularization, AAA repair and lower extremity revascularization for PAD. | mFI | mFI showed better discrimination regarding mortality than LCRI and ASA. Regarding class IV complications, similar findings were reported after OAR and EVAR. There were no significant differences in the discrimination of mortality in the endovascular cohort or major complications after open or endovascular PAD or carotid endarterectomy. |
| Srinivasan et al (2016) | Retrospective, single centre, 184 patients (85% male) treated for rAAA (108 underwent an open repair). | Complex, unspecified | A multivariate logistic regression model 12-month mortality using Katz score, Charlson score, number of admission medicines, visual and hearing impairment, haemoglobin level, and statin use as predictors reached an AUC of 0.84. |
| van Netten JJ et al (2016) | Retrospective, data derived from ACS NSQIP, 9244 patients underwent above- or below-knee amputation. | Complex, unspecified | An additive risk index of 11 components (age, congestive heart failure, COPD, steroid use, major cardiac surgery, functional dependency, dyspnea, dialysis, impaired sensorium, preoperative sepsis) for 30-day mortality had a c-index of 0.74, clinical intervention should be taken over a score of 5. |
| Arya et al (2016) | Retrospective, data derived from ACS NSQIP, 15,843 home-dwelling patients underwent elective vascular surgery. | mFI | Frailty significantly increased the risk of non-home discharge even in presence or absence of complications. |
| Scarborough et al (2015) | Retrospective, data derived from ACS NSQIP, patients undergoing complex general or vascular operation 9782 functionally dependent (51% female) and independent (72% female) propensity-matched patient pairs. | Dependence in activities of daily living | Dependent patients faced with significantly increased risk of 30-day postoperative mortality, major morbidity, failure to rescue and reoperation-procedure-specific analyses showed similar results regarding mortality and morbidity following endovascular and open AAA repair, carotid endarterectomy, infrainguinal bypass graft surgery. |
| Arya et al (2015) | Retrospective, data derived from ACS NSQIP, 23,207 patients (approximately 70% female in each group) undergoing endovascular or open AAA repair. | mFI | Frailty was independently associated with 30-day postoperative mortality, morbidity and failure to rescue rate after EVAR and OAR. |
| Brahmbhatt et al (2015) | Retrospective, data derived from ACS NSQIP, 24,645 patients undergoing infrainguinal vascular surgery. The analysis focused on the variation of mFI scores across gender differences. | mFI | Women were frailer. Female gender and higher mFI showed significant association with 30-day postoperative mortality and major morbidity. The interaction of frailty and female gender showed the highest impact on adjusted 30 day postoperative mortality and morbidity. |
| Melin et al (2015) | Retrospective, data derived from ACS NSQIP, 44,832 patients undergoing carotid endarterectomy. | Frailty RAI | Frailty RAI, as continuous variable, showed significant association with mortality, stroke, MI and LOS. High-risk patients (RAI >10) faced with increased risk of stroke and death. |
| Ambler et al (2015) | Prospective, single centre, 413 patients aged over 65 years with a LOS >2 days admitted to a tertiary vascular unit. | AVFS | AVFS was good predictor of 12 months postoperative mortality, prolonged LOS, discharge to care institutions, and showed significant association with readmission rates. |
| Partridge et al (2015) | Prospective, observational, 125 patients (68.8% male), aged over 60 years, undergoing elective and emergency arterial vascular procedures. | EFS, functional status and MoCA | EFS ≥ 6.5 was predictive for extended LOS (12 days or above) (c-index 0.66). With the addition of MoCA<24 to the model, c-index reached 0.70). |
Abbreviations: AAA, abdominal aortic aneurism; ACS NSQIP, American College of Surgeons National Surgical Quality Improvement Program; AUC, area under curve; ASA, American Society of Anesthesiologists; AVFS, Addenbrooke’s Vascular Frailty Score; CLI, Critical Limb Ischaemia; COPD, chronic obstructive pulmonary disease; EFS, Edmonton Frailty Scale; EVAR, endovascular aneurysm repair; LCRI, Lee Cardiac Risk Index; LGNRI, Low Geriatric Nutritional Risk Index; LOS, length of hospital stay; mFI, modified Frailty Index; MI, myocardial infarction; MoCA, Montreal Cognitive Assessment; OAR, open aneurysm repair; PAD, peripheral artery disease; PMA, psoas muscle area; rAAA, ruptured abdominal aortic aneurism; RAI, Risk Analysis Index; RVU, relative value units.
Figure 2Preoperative screening and intervening algorithm of frail vascular patients.