The Effect of Frailty on Outcome After Vascular Surgery

OBJECTIVES: Frailty is a state of increased vulnerability and is a stronger predictor for post-operative outcome than age alone. The aim of this study was to determine whether frailty is associated with adverse 30 day outcome in vascular surgery patients. METHODS: This was a prospective cohort study. All electively operated vascular surgery patients between March 2010 and October 2017 (n = 1201), aged ≥ 60 years were evaluated prospectively. Exclusion criteria were arteriovenous access surgery, percutaneous interventions and minor amputations, resulting in 825 patients for further analysis whereas 195 had incomplete data on Groningen Frailty Indicator (GFI) and were excluded. Frailty was measured using the GFI, a screening tool covering 16 items in the domains of functioning. Patients with a total score of ≥4 were classified as frail. The primary outcome parameter was 30 day morbidity (based on the Comprehensive Complication Index). Secondary outcome measures were 30 day mortality, hospital readmission, and type of care facility after discharge. Outcomes were adjusted for sex, body mass index, smoking status, hypertension, Charlson Comorbidity Index, and type of intervention. RESULTS: There was an unequal sex distribution (77.6% male). The mean age was 72.1 years. One hundred and eighty-four patients (22.3%) were considered frail. The mean Comprehensive Complication Index was 8.5. Frail patients had a significantly higher Comprehensive Complication Index (3.7 point increase, p = .005). Patients with impaired cognition and reduced psychosocial condition, two domains of the GFI, had a significantly higher Comprehensive Complication Index. Also, the 30 day mortality rate was higher in frail patients (2.7 point increase; p = .05), and they were discharged to a care facility more often (7.7 point increase; p < .001). There was no significant difference in readmission rates between frail and non-frail patients. CONCLUSIONS: Frailty is associated with a higher risk of post-operative complications and discharge to a nursing home after vascular surgery. Some frailty domains (mobility, nutrition, cognition and psychosocial condition) appear to have a more pronounced impact

Integratieve diagnostiek met de Intelligence and Development Scales-2 (IDS-2):Een intelligentie- en algemene ontwikkelingstest voor kinderen en jongeren tussen 5 en 20 jaar

Is de IDS‑2 een instrument waarmee integratief diagnostisch onderzoek gedaan kan worden? Dat is de vraag die we in dit artikel willen beantwoorden. Dat doen we door een bespreking van het theoretische model dat onderliggend is aan de IDS‑2, het Cattell-Horn-Carroll-model, en de resultaten van onderzoek naar het gebruik van de IDS‑2 bij verschillende klinische groepen. De IDS‑2 is een instrument voor kinderen en jongeren van 5–20 jaar en omvat de domeinen Intelligentie, Executief functioneren en Ontwikkeling. De resultaten van de klinische studies ondersteunen het onderliggende theoretische model en de differentiële validiteit van de IDS‑2. De IDS‑2 kan daarmee worden beschouwd als een waardevol instrument in de uitvoering van integratieve diagnostiek

Standardised Frailty Indicator as Predictor for Postoperative Delirium after Vascular Surgery:A Prospective Cohort Study

AbstractObjectivesTo determine whether the Groningen Frailty Indicator (GFI) has a positive predictive value for postoperative delirium (POD) after vascular surgery.MethodsBetween March and August 2010, 142 consecutive vascular surgery patients were prospectively evaluated. Preoperatively, the GFI was obtained and postoperatively patients were screened with the Delirium Observation Scale (DOS). Patients with a DOS-score ≥3 points were assessed by a geriatrician. Delirium was defined by the DSM-IV-TR criteria. Primary outcome variable was the incidence of POD. Secondary outcome variables were any surgical complication and hospital length of stay (HLOS) (>7 days).ResultsTen patients (7%) developed POD. The highest incidence of POD was found after aortic surgery (17%) and amputation procedures (40%). Increased comorbidities (p = 0.006), GFI score (p = 0.03), renal insufficiency (p = 0.04), elevated C-reactive protein (p = 0.008), high American Society of Anaesthesiologists score (p = 0.05), a DOS-score of ≥3 points (p = 0.001), post-operative intensive care unit admittance (p = 0.01) and HLOS ≥7 days (p = 0.005) were risk factors for POD. The GFI score was not associated with a prolonged HLOS. A mean number of 2 ± 1 (range 0–5) complications were registered. The receiver operator characteristics (ROC) area under the curve for the GFI was 0.70.ConclusionsThe GFI can be helpful in the early identification of POD after vascular surgery in a select group of high-risk patients

Risk Factors for Delirium after Vascular Surgery:A Systematic Review and Meta-Analysis

Background: Vascular surgery is considered a risk factor for the development of postoperative delirium (POD). In this systematic review we provide a report on the incidence and risk-factors of POD after vascular surgery. Methods: A systematic literature search was conducted using Pubmed with the MeSH terms and key words "delirium" or "confusion", "vascular surgery procedures" and "risk factors or "risk assessment". Studies were selected for review after meeting the following inclusion cr iter ia: vascular surgery, POD diagnosed using validated screening tools, and DSM-derived criteria to assess delirium. A meta-analysis was performed for each endpoint if at least two studies could be combined. Results: Sixteen articles met the abovementioned cr iter ia. The incidence of delir ium ranged from 5% to 39%. Various preoperative risk factors were identified that is, age (Random MD 3.96, CI 2.57-5.35), hypertension (Fixed OR 1.30, CI 1.05-1.59), diabetes mellitus (Random OR 2.15, CI 1.30-3.56), hearing impairment (Fixed OR 1.89, CI 1.28-2.81), history of cerebrovascular incident or transient ischemic attack (Fixed OR 2.20, CI 1.68-2.88), renal failure (Fixed OR 1.61, CI 1.19-2.17), and pre-operative low haemoglobin level (fixed MD-0.76, CI-1.04 to-0.47). Intra-operative risk factors were duration of surgery (Random MD 15.68; CI 2.79-28.57), open aneurysm repair (Fixed OR 4.99, CI 3.10-8.03), aortic cross clamping time (fixed MD 7.99, CI 2.56-13.42), amputation surgery (random OR 3.77, CI 2.13-6.67), emergency surgery (Fixed OR 4.84, CI 2.81-8.32) and total blood loss (Random MD 496.5, CI 84.51-908.44) and need for blood transfusion (Random OR 3.72, CI 1.57-8.80). Regional anesthesia on the other hand, had a protective effect. Delirium was associated with longer ICU and hospital length of stay, and more frequent discharge to a care facility. Conclusions: POD after vascular surgery is a frequent complication and effect-size pooling supports the concept that delirium is a heterogeneous disorder. The risk factors identified can be used to either design a validated risk factor model or individual preventive strategies for high-risk patients

Transition in Frailty State Among Elderly Patients After Vascular Surgery

BACKGROUND: Frailty in the vascular surgical ward is common and predicts poor surgical outcomes. The aim of this study was to analyze transitions in frailty state in elderly patients after vascular surgery and to evaluate influence of patient characteristics on this transition. METHODS: Between 2014 and 2018, 310 patients, ≥65 years and scheduled for elective vascular surgery, were included in this cohort study. Transition in frailty state between preoperative and follow-up measurement was determined using the Groningen Frailty Indicator (GFI), a validated tool to measure frailty in vascular surgery patients. Frailty is defined as a GFI score ≥4. Patient characteristics leading to a transition in frailty state were analyzed using multivariable Cox regression analysis. RESULTS: Mean age was 72.7 ± 5.2 years, and 74.5% were male. Mean follow-up time was 22.7 ± 9.5 months. At baseline measurement, 79 patients (25.5%) were considered frail. In total, 64 non-frail patients (20.6%) shifted to frail and 29 frail patients (9.4%) to non-frail. Frail patients with a high Charlson Comorbidity Index (HR = 0.329 (CI: 0.133-0.812), p = 0.016) and that underwent a major vascular intervention (HR = 0.365 (CI: 0.154-0.865), p = 0.022) had a significantly higher risk to remain frail after the intervention. CONCLUSIONS: The results of this study, showing that after vascular surgery almost 21% of the non-frail patients become frail, may lead to a more effective shared decision-making process when considering treatment options, by providing more insight in the postoperative frailty course of patients

Frailty leads to poor long-term survival in patients undergoing elective vascular surgery

Objective: Frailty has persistently been associated with unfavorable short-term outcomes after vascular surgery, including an increased complication risk, greater readmission rate, and greater short-term mortality. However, a knowledge gap remains concerning the association between preoperative frailty and long-term mortality. In the present study, we aimed to determine this association in elective vascular surgery patients. Methods: The present study was a part of a large prospective cohort study initiated in 2010 in our tertiary referral teaching hospital to study frailty in elderly elective vascular surgery patients (Vascular Ageing Study). A total of 639 patients with a minimal follow-up of 5 years, who had been treated from 2010 to 2014, were included in the present study. The Groningen Frailty Indicator, a 15-item self-administered questionnaire, was used to determine the presence and degree of frailty. Results: Of the 639 patients, 183 (28.6%) were considered frail preoperatively. For the frail patients, the actuarial survival after 1, 3, and 5 years was 81.4%, 66.7%, and 55.7%, respectively. For the nonfrail patients, the corresponding survival was 93.6%, 83.3%, and 75.2% (log-rank test, P Conclusions: The results of our study have shown that preoperative frailty is associated with significantly increased long-term mortality after elective vascular surgery. Knowledge of a patient's preoperative frailty state could, therefore, be helpful in shared decision-making, because it provides more information about the procedural benefits and risks