Frailty and perioperative outcomes: a narrative review

Impact of frailty on postoperative outcomes after hepatectomy: A systematic review and meta-analysis

BACKGROUND

The impact of frailty on postoperative outcomes in patients undergoing hepatectomy is still unclear.

AIM

To study the influence of frailty on postoperative outcomes, such as mortality, rate of complications, and length of hospitalization, following hepatectomy.

METHODS

PubMed, EMBASE, and Scopus databases were searched for observational studies with adult (≥ 18 years) patients after planned/elective hepatectomy. A random-effects model was used for all analyses, and the results are expressed as weighted mean difference (WMD), relative risk (RR), or hazards ratio (HR) with 95% confidence interval (CI).

RESULTS

Analysis of the 13 included studies showed a significant association of frailty with elevated risk of in-hospital mortality (RR = 2.76, 95%CI: 2.10-3.64), mortality at 30 d (RR = 4.60, 95%CI: 1.85-11.40), and mortality at 90 d (RR = 2.52, 95%CI: 1.70-3.75) in the postoperative period. Frail patients had a poorer long-term survival (HR = 2.89, 95%CI: 1.84-4.53) and higher incidence of "any" complications (RR = 1.69, 95%CI: 1.40-2.03) and major (grade III or higher on the Clavien-Dindo scale) complications (RR = 2.69, 95%CI: 1.85-3.92). Frailty was correlated with markedly lengthier hospital stay (WMD = 3.65, 95%CI: 1.45-5.85).

CONCLUSION

Frailty correlates with elevated risks of mortality, complications, and prolonged hospitalization, which need to be considered in surgical management. Further research is essential to formulate strategies for improved outcomes in this vulnerable cohort.

The Barthel Index predicts surgical textbook outcomes following hepatectomy for elderly patients with hepatocellular carcinoma: A multicenter cohort study

BACKGROUND

The burgeoning demand for hepatectomy in elderly patients with hepatocellular carcinoma (HCC) necessitates improved perioperative care. Geriatric populations frequently experience functional decline and frailty, predisposing them to adverse postoperative outcomes. The Barthel Index serves as a reliable measure for assessing functional capacity, and this study evaluates its impact on surgical textbook outcomes (TOs) in elderly HCC patients.

METHODS

A multicenter retrospective cohort study analyzed elderly patients (≥70 years) following hepatectomy for HCC between 2013 and 2021. Utilizing a Barthel Index cut-off value of 85, patients were divided into two groups: with and without preoperative functional decline and frailty. The primary outcome was the rate of TO, encompassing seven criteria. TO rates were compared between groups, and multivariate logistic regression analyses identified independent risks for achieving TOs.

RESULTS

Of 497 elderly patients, 157 (31.6 ​%) exhibited preoperative functional decline and frailty (Barthel Index score <85). The overall TO rate was 58.6 ​%. Patients with preoperative Barthel Index score <85 had significantly lower TO rates compared to patients with score ≥85 (29.3 ​% vs. 72.1 ​%, P ​< ​0.001). Multivariate analysis revealed preoperative Barthel Index score <85 as an independent risk for achieving TO (odds ratio 3.413, 95 ​% confidence interval 1.879-6.198, P ​< ​0.001). Comparable results were observed in the subgroups of patients undergoing open and laparoscopic hepatectomy.

CONCLUSION

Preoperative Barthel Index-based assessment of functional decline and frailty significantly predicts TOs following hepatectomy in elderly HCC patients, enabling identification of high-risk patients and informing preoperative management and postoperative care within geriatric oncology.

Multicomponent perioperative interventions to improve outcomes for frail patients: a systematic review

BACKGROUND

Preoperative frailty is associated with increased risk of adverse outcomes. In 2017, McIsaac and colleagues' systematic review found that few interventions improved outcomes in this population and evidence was low-quality. We aimed to systematically review the evidence for multicomponent perioperative interventions in frail patients that has emerged since McIsaac et al.'s review.

METHODS

PUBMED, EMBASE, Cochrane, and CINAHL databases were searched for English-language studies published since January 1, 2016, that evaluated multicomponent perioperative interventions in patients identified as frail. Quality was assessed using the National Institute of Health Quality Assessment Tool. A narrative synthesis of the extracted data was conducted.

RESULTS

Of 2835 articles screened, five studies were included, all of which were conducted in elective oncologic gastrointestinal surgical populations. Four hundred and thirteen patients were included across the five studies and the mean/median age ranged from 70.1 to 87.0 years. Multicomponent interventions were all applied in the preoperative period. Two studies also applied interventions postoperatively. All interventions addressed exercise and nutritional domains with variability in timing, delivery, and adherence. Multicomponent interventions were associated with reduced postoperative complications, functional deterioration, length of stay, and mortality. Four studies reported on patient-centred outcomes. The quality of evidence was fair.

CONCLUSIONS

This systematic review provides evidence that frail surgical patients undergoing elective oncologic gastrointestinal surgery may benefit from targeted multicomponent perioperative interventions. Yet methodological issues and substantial heterogeneity of the interventions precludes drawing clear conclusions regarding the optimal model of care. Larger, low risk of bias studies are needed to evaluate optimal intervention delivery, effectiveness in other populations, implementation in health care settings and ascertain outcomes of importance for frail patients and their carers.

A new risk calculation model for complications of hepatectomy in adults over 75

BACKGROUND

Owing to poor organ function reserve, older adults have a high risk of postoperative complications. However, there is no well-established system for assessing the risk of complications after hepatectomy in older adults.

METHODS

This study aimed to design a risk assessment tool to predict the risk of complications after hepatectomy in adults older than 75 years. A total of 326 patients were identified. A logistic regression equation was used to create the Risk Assessment System of Hepatectomy in Adults (RASHA) for the prediction of complications (Clavien‒Dindo classification ≥ II).

RESULTS

Multivariate correlation analysis revealed that comorbidity (≥ 5 kinds of disease or < 5 kinds of disease, odds ratio [OR] = 5.552, P < 0.001), fatigue (yes or no, OR = 4.630, P = 0.009), Child‒Pugh (B or A, OR = 4.211, P = 0.004), number of liver segments to be removed (≥ 3 or ≤ 2, OR = 4.101, P = 0.001), and adjacent organ resection (yes or no, OR = 1.523, P = 0.010) were independent risk factors for postoperative complications after hepatectomy in older persons (aged ≥ 75 years). A binomial logistic regression model was established to evaluate the RASHA score (including the RASHA scale and RASHA formula). The area under the curve (AUC) for the RASHA scale was 0.916, and the cut-off value was 12.5. The AUC for the RASHA formula was 0.801, and the cut-off value was 0.2106.

CONCLUSION

RASHA can be used to effectively predict the postoperative complications of hepatectomy through perioperative variables in adults older than 75 years.

TRIAL REGISTRATION

The Research Registry: researchregistry8531. https://www.researchregistry.com/browse-the-registry#home/registrationdetails/63901824ae49230021a5a0cf/ .

A model to predict level of adherence to prehabilitation in older adults with frailty having cancer surgery

PURPOSE

Preoperative exercise could improve postoperative outcomes for people with frailty; however, little is known about how to predict older people's adherence to exercise before surgery (i.e., prehabilitation) programs. Our objective was to derive and validate a model to predict prehabilitation adherence in older adults living with frailty before cancer surgery.

METHODS

This was a nested prospective cohort study of older adults with frailty having cancer surgery who participated in a randomized controlled trial of home-based prehabilitation compared with standard perioperative care. We constructed a multivariable ordinary least squares linear regression model to predict adherence. Covariates were selected a priori based on clinical expertise and systematic review. Optimism was estimated through internal validation using bootstrap resampling.

RESULTS

The derivation cohort consisted of 95 participants in the intervention arm of the trial. Percent adherence ranged from 0% to 100%, with a mean (standard deviation) of 61 (34)%. Previous physical activity and age were the only predictors significant at the 5% level.

CONCLUSION

A prespecified multivariable model may help to explain a modest degree of variation in prehabilitation adherence in older people with frailty. While this model is an important step toward personalizing prehabilitation support, this study was limited by a small sample size and future research is needed to better understand personalized prediction of prehabilitation adherence in older people with frailty.

Palliative Emergency General Surgery

Acute care surgeons encounter patients experiencing surgical emergencies related to advanced malignancy, catastrophic vascular events, or associated with multisystem organ failure. The acute nature is a factor in establishing a relationship between surgeon, patient, and family. Surgeons must use effective communication skills, empathy, and a knowledge of legal and ethical foundations. Training in palliative care principles is limited in many medical school and residency curricula. We offer examples of clinical situations facing acute care surgeons and discuss evidence-based recommendations to facilitate successful treatment and outcomes.

Efficacy of a modified FRAIL scale in predicting the peri-operative outcome of hepatectomy in older adults (aged ≥ 75 years): a model development study

BACKGROUND

The FRAIL scale for evaluating frailty consists of five items: fatigue, resistance, aerobic, illness, and loss of weight. However, it is difficult to obtain a specific weight loss value. Since the Timed Up and Go Test (TUGT) is simple, accurate, and easy to perform, we replaced weight loss with the TUGT in the FRAIL scale, with the remaining four items unchanged, and named it the FRAIT scale. The aim of this study was to determine the value of the FRAIT scale in predicting the peri-operative outcome of hepatectomy.

METHODS

This model development study was conducted between January 2017 and December 2021. The reliability, validity and area under the curve (AUC) of the FRAIL/FRAIT scales were calculated. The frailty status of patients aged ≥ 75 years who underwent hepatectomy was measured using the FRAIL/FRAIT scales. Logistic regression was used to compare the relationship between FRAIL/FRAIT scores/grades and perioperative outcomes.

RESULTS

The AUCs for predicting operation duration, intraoperative bleeding, complications, and death based on the FRAIL score were 0.692, 0.740, 0.709, and 0.733, respectively, and those based on the FRAIT score were 0.700, 0.745, 0.708, and 0.724, respectively. The AUCs for predicting operation duration, intraoperative bleeding, complications, and death based on the FRAIL grade were 0.693, 0.735, 0.695, and 0.755, respectively, and those based on the FRAIT grades were 0.700, 0.758, 0.699, and 0.750, respectively. The FRAIL score has three effective predictors (intraoperative bleeding, complications, and death), while the FRAIT score has four effective predictors (operation duration, intraoperative bleeding, complications, and death). The FRAIL grade has two effective predictors (intraoperative bleeding and death), while the FRAIT grade has three effective predictors (operation duration, intraoperative bleeding, and death).

CONCLUSIONS

This study describes a new and more effective tool for the assessment of preoperative frailty in older adults undergoing hepatectomy. The items of the FRAIT scale are easier to obtain than those of the FRAIL scale, and the predictive effect of the FRAIT scale is stronger than that of the FRAIL scale.

Automated Electronic Frailty Index-Identified Frailty Status and Associated Postsurgical Adverse Events

Importance

Electronic 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.

Objective

To 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 Participants

This 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.

Exposure

Frailty 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 Measures

The 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.

Results

Of 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 Relevance

This 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.

Causes and Predictors of Unplanned Readmission in Patients Undergoing Intracranial Tumor Resection: A Multicenter Analysis of 31,776 Patients

BACKGROUND

Although unplanned readmission is a postoperative outcome metric associated with significant morbidity and financial burden, precise assessment tools for its prediction have not yet been developed. The Risk Analysis Index (RAI) could potentially be used to help improve the prediction of unplanned readmissions for patients undergoing intracranial tumor resection (ITR). In the present study, we evaluate the predictive accuracy of frailty on 30-day unplanned readmission after ITR using the RAI.

METHODS

Data were obtained from the American College of Surgeons National Surgical Quality Improvement Program database. The baseline characteristics, preoperative clinical status, and outcomes were compared between patients with and without unplanned readmission. Frailty was calculated using the RAI. Univariate and multivariate logistic regression analyses were performed to identify independent associations between unplanned readmissions and patient characteristics.

RESULTS

The unplanned readmission rate for this cohort (n = 31,776) was 10.8% (n = 3420). Of the 3420 readmitted patients, 958 required unplanned reoperation. Multiple characteristics were significantly different between the 2 groups, including age, body mass index, comorbidities, and RAI groups (P < 0.05). The common causes of unplanned readmission included infection (9.4%), seizures (6%), and pulmonary embolism (4%). The patient characteristics identified as reliable predictors of unplanned readmission included age, body mass index, functional status, diabetes, hypertension, hyponatremia, and the patient's RAI score (P < 0.05). Frail status, hyponatremia, leukocytosis, hypertension, and thrombocytosis were significant predictors of unplanned readmissions.

CONCLUSIONS

The RAI is a reliable preoperative frailty index for predicting unplanned readmissions after ITR. Using the RAI could decrease unplanned readmissions by identifying high-risk patients and enabling future implementation of appropriate management guidelines.

Prevention and treatment of noncognitive complications

Patients aged 65 and older are the fastest growing segment in the population of many countries. Based on evolving demographics showing increasing life expectancies, it is expected that there will be a concurrent rise in the demand for a large variety of surgical and anesthesia services. Surgery offers definitive management of many age-related diseases and provides symptom-relieving (morbidity) and life-extending (mortality) benefits. However, elderly adult surgical patients, especially the frail ones, often require a different level of care than younger patients during the perioperative period. As many have chronic illnesses and acquired deconditioning and functional decline, older patients are prone to develop untoward outcomes such as postoperative complications and loss of independence. This manuscript focuses on the holistic quality person-centered care, supported by a wide stakeholder team of health-care workers, ensuring fidelity to comprehensive geriatric assessment and optimization services where possible, offering a systematic approach to early health risk assessment and risk modification in the perioperative period, with the ultimate goal of reducing postoperative complications and health-care costs. The "comprehensive geriatric assessment and optimization" cost-effective approach builds on robust evidence with older people more likely to be alive, a shorter length of hospital stay due to fewer postoperative medical complications, and improved rates of return to usual residence. Prehabilitation programs are delivered focusing on primary (through counseling) and secondary prevention (through screening) with an aim to improve fitness for surgery, by evaluating functional capacity, nutritional and psychological health, prompting interventions, targeting physical exercise, lifestyle and nutritional advice, and psychological support.

Frailty and Pre-Frailty in the Setting of Total Joint Arthroplasty: A Narrative Review

Background

Total joint arthroplasties are among the most common surgical procedures performed in the United States. Although numerous safeguards are in place to optimize patient health and safety pre-, intra-, and postoperatively, patient frailty is often incompletely assessed or not assessed at all. Frailty has been shown to increase rates of adverse events and length of stay. We discuss the impact of frailty on patient outcomes and healthcare economics as well as provide widely accepted models to assess frailty and their optimal usage.

Methods

Several databases were searched using the keywords "frailty," "TJA," "THA," "frailty index," "frailty assessment," and "frailty risk." A total of 45 articles were used in this literature review.

Results

It is estimated that nearly half of patients over the age of 85 meet criteria for frailty. Frailty in surgical patients has been shown to increase total costs as well as length of stay. Additionally, increased rates of numerous adverse events are associated with increased frailty.

Conclusions

The literature demonstrates that frailty poses increased risk of adverse events, increased length of stay, and increased cost. There are several models that accurately assess frailty and can feasibly be implemented into preoperative screening.

Barriers and facilitators to participation in exercise prehabilitation before cancer surgery for older adults with frailty: a qualitative study

BACKGROUND

Older adults with frailty are at an increased risk of adverse outcomes after surgery. Exercise before surgery (exercise prehabilitation) may reduce adverse events and improve recovery after surgery. However, adherence with exercise therapy is often low, especially in older populations. The purpose of this study was to qualitatively assess the barriers and facilitators to participating in exercise prehabilitation from the perspective of older people with frailty participating in the intervention arm of a randomized trial.

METHODS

This was a research ethics approved, nested descriptive qualitative study within a randomized controlled trial of home-based exercise prehabilitation vs. standard care with older patients (≥ 60 years) having elective cancer surgery, and who were living with frailty (Clinical Frailty Scale ≥ 4). The intervention was a home-based prehabilitation program for at least 3 weeks before surgery that involved aerobic activity, strength and stretching, and nutritional advice. After completing the prehabilitation program, participants were asked to partake in a semi-structured interview informed by the Theoretical Domains Framework (TDF). Qualitative analysis was guided by the TDF.

RESULTS

Fifteen qualitative interviews were completed. Facilitators included: 1) the program being manageable and suitable to older adults with frailty, 2) adequate resources to support engagement, 3) support from others, 4) a sense of control, intrinsic value, noticing progress and improving health outcomes and 5) the program was enjoyable and facilitated by previous experience. Barriers included: 1) pre-existing conditions, fatigue and baseline fitness, 2) weather, and 3) guilt and frustration when unable to exercise. A need for individualization and variety was offered as a suggestion by participants and was therefore described as both a barrier and facilitator.

CONCLUSIONS

Home-based exercise prehabilitation is feasible and acceptable to older people with frailty preparing for cancer surgery. Participants identified that a home-based program was manageable, easy to follow with helpful resources, included valuable support from the research team, and they reported self-perceived health benefits and a sense of control over their health. Future studies and implementation should consider increased personalization based on health and fitness, psychosocial support and modifications to aerobic exercises in response to adverse weather conditions.

Geriatric care for surgical patients: results and reflections from a cross-sectional survey in acute Belgian hospitals

PURPOSE

To explore geriatric care for surgical patients in Belgian hospitals and geriatricians' reflections on current practice.

METHODS

A web-based survey was developed based on literature review and local expertise, and was pretested with 4 participants. In June 2021, the 27-question survey was sent to 91 heads of geriatrics departments. Descriptive statistics and thematic analysis were performed.

RESULTS

Fifty-four surveys were completed, corresponding to a response rate of 59%. Preoperative geriatric risk screening is performed in 25 hospitals and systematically followed by geriatric assessment in 17 hospitals. During the perioperative hospitalisation, 91% of geriatric teams provide non-medical and 82% provide medical advice. To a lesser extent, they provide geriatric protocols, geriatric education and training, and attend multidisciplinary team meetings. Overall, time allocation of geriatric teams goes mainly to postoperative evaluations and interventions, rather than to preoperative assessment and care planning. Most surgical patients are hospitalised on surgical wards, with reactive (73%) or proactive (46%) geriatric consultation. In 36 hospitals, surgical patients are also admitted on geriatric wards, predominantly orthopaedic/trauma, abdominal and vascular surgery. Ninety-eight per cent of geriatricians feel that more geriatric input for surgical patients is needed. The most common reported barriers to further implement geriatric-surgical services are shortage of geriatricians and geriatric nurses, and unadjusted legislation and financing.

CONCLUSION

Geriatric care for surgical patients in Belgian hospitals is mainly reactive, although geriatricians favour more proactive services. The main opportunities and challenges for improvement are to resolve staff shortages in the geriatric work field and to update legislation and financing.

The association of intraoperative low driving pressure ventilation and nonhome discharge: a historical cohort study

PURPOSE

To evaluate whether intraoperative ventilation using lower driving pressure decreases the risk of nonhome discharge.

METHODS

We conducted a historical cohort study of patients aged ≥ 60 yr who were living at home before undergoing elective, noncardiothoracic surgery at two tertiary healthcare networks in Massachusetts between 2007 and 2018. We assessed the association of the median driving pressure during intraoperative mechanical ventilation with nonhome discharge using multivariable logistic regression analysis, adjusted for patient and procedural factors. Contingent on the primary association, we assessed effect modification by patients' baseline risk and mediation by postoperative respiratory failure.

RESULTS

Of 87,407 included patients, 12,584 (14.4%) experienced nonhome discharge. In adjusted analyses, a lower driving pressure was associated with a lower risk of nonhome discharge (adjusted odds ratio [aOR], 0.88; 95% confidence interval [CI], 0.83 to 0.93, per 10 cm H2O decrease; P < 0.001). This association was magnified in patients with a high baseline risk (aOR, 0.77; 95% CI, 0.73 to 0.81, per 10 cm H2O decrease, P-for-interaction < 0.001). The findings were confirmed in 19,518 patients matched for their baseline respiratory system compliance (aOR, 0.90; 95% CI, 0.81 to 1.00; P = 0.04 for low [< 15 cm H2O] vs high [≥ 15 cm H2O] driving pressures). A lower risk of respiratory failure mediated the association of a low driving pressure with nonhome discharge (20.8%; 95% CI, 15.0 to 56.8; P < 0.001).

CONCLUSIONS

Intraoperative ventilation maintaining lower driving pressure was associated with a lower risk of nonhome discharge, which can be partially explained by lowered rates of postoperative respiratory failure. Future randomized controlled trials should target driving pressure as a potential intervention to decrease nonhome discharge.

Predictability of Radiologically Measured Psoas Muscle Area for Intraoperative Hypotension in Older Adult Patients Undergoing Femur Fracture Surgery

This retrospective study aimed to determine the predictive value of radiologically measured psoas muscle area (PMA) for intraoperative hypotension (IOH) using receiver operating characteristic (ROC) curves in older adult patients with hip fractures. The cross-sectional axial area of the psoas muscle was measured by CT at the level of the 4th lumbar vertebrae and normalized by body surface area (BSA). The modified frailty index (mFI) was used to assess frailty. IOH was defined as an absolute threshold of mean arterial blood pressure (MAP) < 65 mmHg or a relative decrease in MAP > 30% from baseline MAP. Among the 403 patients, 286 (71.7%) had developed IOH. PMA normalized by BSA in male patients was 6.90 ± 0.73 in the no-IOH group and 4.95 ± 1.20 in the IOH group (p < 0.001). PMA normalized by BSA in female patients was 5.18 ± 0.81 in the no-IOH group and 3.78 ± 0.75 in the IOH group (p < 0.001). The ROC curves showed that the area under the curve for PMA normalized by BSA and modified frailty index (mFI) were 0.94 for male patients, 0.91 for female patients, and 0.81 for mFI (p < 0.001). In multivariate logistic regression, low PMA normalized by BSA, high baseline systolic blood pressure, and old age were significant independent predictors of IOH (adjusted odds ratio: 3.86, 1.03, and 1.06, respectively). PMA measured by computed tomography showed an excellent predictive value for IOH. Low PMA was associated with developing IOH in older adult patients with hip fractures.

Frailty as a predictor of delayed initiation of adjuvant chemotherapy in patients with ovarian cancer

OBJECTIVE

This study aimed to identify whether frailty is associated with the time between surgery and the initiation of chemotherapy for patients with ovarian cancer.

METHODS

This retrospective cohort study included patients 18 years or older with stage II to IV ovarian cancer who underwent primary debulking surgery at a tertiary medical center between July 2006 and July 2015. Basic demographics and clinical information were obtained from a departmental database and the electronic medical record. The Modified Frailty Index (mFI) was calculated based on 10 comorbidities and functional status yielding 11 items total. Patients were categorized by a total score: 0-1=no frailty, 2=moderate frailty and 3+=high frailty.

RESULTS

Among 451 patients, 359 had mFI scores of 0-1, 60 had a score of 2, and 32 had scores of 3+. Mean time from surgery to initiation of chemotherapy was 37 days. Mean number of days between surgery and initiation of chemotherapy increased with increasing frailty score: 36 days for the not frail group, 39 days for the moderate frailty group, and 54 days for the high frailty group (p<0.001). Time to initiation of chemotherapy of 42 days or more occurred in 23% of the no frailty group, 28% in the moderate frailty group, and 63% in the high frailty group (p<0.001). Overall survival decreased with increasing frailty scores.

CONCLUSION

High mFI scores lead to a greater delay between surgery and chemotherapy initiation. Being able to predict delays in initiation of chemotherapy may allow oncologists to consider neoadjuvant chemotherapy, pre-habilitation before surgery, and improved preoperative counseling in high-risk patients.

Detection of the Frail Elderly at Risk of Postoperative Sepsis

With the increase in the elderly population, surgery in aged patients is seeing an exponential increase. In this population, sepsis is a major concern for perioperative care, especially in older and frail patients. We aim to investigate the incidence of sepsis in elderly patients receiving diverse types of surgical procedures and explore the predictive capacity of the Hospital Frailty Risk Score (HFRS) to identify patients at high risk of incidence of postoperative sepsis. This study relies on information from the Spanish Minimum Basic Data Set, including data from nearly 300 hospitals in Spain. We extracted records of 254,836 patients aged 76 years and older who underwent a series of surgical interventions within three consecutive years (2016-2018). The HFRS and Elixhauser comorbidity index were computed to determine the independent effect on the incidence of sepsis. Overall, the incidence of postoperative sepsis was 2645 (1.04%). The higher risk of sepsis was in major stomach, esophageal, and duodenal (7.62%), followed by major intestinal procedures (5.65%). Frail patients are at high risk of sepsis. HFRS demonstrated a high predictive capacity to identify patients with a risk of postoperative sepsis and can be a valid instrument for risk stratification and vigilant perioperative monitoring for the early identification of patients at high risk of sepsis.

Association of frailty with days alive at home in critically ill patients undergoing emergency general surgery: a population-based cohort study

BACKGROUND

Frailty is an established risk factor for morbidity and mortality in older patients undergoing surgery. In people with critical illness before surgery, few data describe patient-centred outcomes. Our objective was to estimate the association of frailty with postoperative days alive at home in older critically ill patients requiring emergency general surgery.

METHODS

A retrospective population-based cohort study was conducted using linked administrative health data in Ontario, Canada from 2009 to 2019. All individuals aged ≥66 yr with an ICU admission before emergency general surgery were included. We compared the count of days alive at home at 30 and 365 days after surgery based on frailty status using a validated, multidimensional index. Unadjusted and multilevel, multivariable adjusted effect estimates were calculated. A sensitivity analysis based on early recovery category was performed.

RESULTS

We identified 7003 eligible patients; 2063 (29.5%) lived with frailty. At 30 days, mean days alive at home with frailty were 4.5 (standard deviation 8.2) and 7.6 (standard deviation 10.2) in those without frailty. In adjusted analysis, frailty was associated with fewer days alive at home at 30 (ratio of means [RoM] 0.68; 95% confidence interval [CI]: 0.60-0.78; P<0.001) and 365 days (RoM 0.72; 95% CI: 0.64-0.82; P<0.001). Individuals with frailty had a higher probability of poor recovery status, with effects increasing across the first postoperative month.

CONCLUSIONS

In patients with critical illness requiring emergency general surgery, frailty is associated with fewer days alive at home. This information should be discussed with critically ill patients before emergent surgical intervention to better inform decision-making.

Frailty in the over 65's undergoing elective surgery (FIT-65) - a three-day study examining the prevalence of frailty in patients presenting for elective surgery

Background

Frailty increases the risk of perioperative complications, length of stay, and the need for assisted-living after discharge. As the UK population ages the number of frail patients presenting for elective surgery in the UK is likely to grow. Despite the potential benefits of early diagnosis, frailty is not uniformly screened for in UK elective surgical patients and its prevalence remains unclear. The primary aim of this study was to assess the prevalence of frailty in patients aged over 65 years undergoing elective surgery.

Methods

We performed a prospective cross-sectional observational study in eight UK hospitals. Data were collected over three consecutive days with follow-up at 30 days. HRA approval was obtained (REC 20/SC/0121) and signed informed consent obtained. Participants were eligible for inclusion if they were 65 years or older and undergoing elective surgery. Pre-operative data were collected from hospital notes by anaesthetic trainees. A member of the research team blinded to the pre-operative dataset screened each participant for frailty pre-operatively using the Reported Edmonton Frail Scale (REFS). Post-operative data were collected from the notes on day of surgery and at 30 days. Participants were defined as “frail” if they scored 8 or more on the REFS.

Results

Two hundred twenty eight participants were recruited during the study period of whom 218 proceeded to surgery. There were 103 females and 115 males. Median age was 75 years (interquartile range 70–80). Thirty-seven participants (17.0%) were identified as frail. Frail patients were older, had a higher ASA score, were more likely to have carers and were more likely to be anaemic or present with ECG abnormalities. There were no differences in gender, BMI, place of residence or smoking status for patients identified as frail versus non-frail. There was no difference in length-of-stay between frail and non-frail patients, although those identified as frail were less likely to be discharged to their own home.

Conclusion

We found the prevalence of frailty in a mixed population of elective surgical patients aged 65 or over to be 17.0%. Furthermore, we found the REFS to be a practical tool for pre-operative frailty screening. Frail patients presented for elective surgery with modifiable co-morbidities which could have been optimised pre-operatively. Early screening could highlight frail patients, allowing time for pre-operative planning and evidence-based optimisations of comorbidities. We therefore encourage the adoption of frailty assessment as a routine part of pre-operative assessment.

Frailty assessment tools for use by surgeons when evaluating older adults prior to surgery: a scoping review protocol

INTRODUCTION

Despite growing evidence, uncertainty persists about which frailty assessment tools are best suited for routine perioperative care. We aim to understand which frailty assessment tools perform well and are feasible to implement.

METHODS AND ANALYSIS

Using a registered protocol following Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA), we will conduct a scoping review informed by the Joanna Briggs Institute Guide for Scoping Reviews and reported using PRISMA extension for Scoping Reviews recommendations. We will develop a comprehensive search strategy with information specialists using the Peer Review of Electronic Search Strategies checklist, and implement this across relevant databases from 2005 to 13 October 2021 and updated prior to final review publication. We will include all studies evaluating a frailty assessment tool preoperatively in patients 65 years or older undergoing intracavitary, non-cardiac surgery. We will exclude tools not assessed in clinical practice, or using laboratory or radiologic values alone. After pilot testing, two reviewers will independently assess information sources for eligibility first by titles and abstracts, then by full-text review. Two reviewers will independently chart data from included full texts using a piloted standardised electronic data charting. In this scoping review process, we will (1) index frailty assessment tools evaluated in the preoperative clinical setting; (2) describe the level of investigation supporting each tool; (3) describe useability of each tool and (4) describe direct comparisons between tools. The results will inform ready application of frailty assessment tools in routine clinical practice by surgeons and other perioperative clinicians.

ETHICS AND DISSEMINATION

Ethic approval is not required for this secondary data analysis. This scoping review will be published in a peer-review journal. Results will be used to inform an ongoing implementation study focused on geriatric surgery to overcome the current lack of uptake of older adult-oriented care recommendations and ensure broad impact of research findings.

Patient prioritization of routine and patient-reported postoperative outcome measures: a prospective, nested cross-sectional study

PURPOSE

Understanding which outcomes matter most and improving outcomes for the growing population of older surgical patients are top priorities for Canadian anesthesia research. Nevertheless, there is little understanding of which outcomes older surgical patients prioritize most highly. We evaluated how older people prioritized six outcomes after elective noncardiac surgery. These outcomes were recommended in core outcome sets for perioperative medicine.

METHODS

Following ethical approval, we conducted a prospective, nested, cross-sectional study of people one year after they had major elective noncardiac surgery. Participants were asked to rate the importance of six commonly measured outcomes (complications, length of stay, discharge disposition, days at home, disability score, and developing a new disability) on an 11-point Likert scale. Open-ended questions elicited other preferences. Pairwise comparisons were evaluated using Bayesian multivariate regression. K-means clustering identified subgroups of patients based on overall prioritization. Thematic analysis was applied to open-ended responses.

RESULTS

One hundred and one consecutive participants responded. All outcomes scored at least 7.7/10 on average. Complications and discharge location were most highly rated, but only days at home and length of stay had substantial probability (> 99%) of being rated lower than the other four outcomes. Thematic analysis identified the need for greater procedure-specific information, support services, and physical recovery measures.

CONCLUSIONS

Commonly recorded and recommended outcomes are reassuringly relevant to older people; however, system-related measures are less highly valued than those more directly related to health and function. Outcomes may need to be personalized to properly evaluate the success of perioperative care.

Frailty index is useful for predicting postoperative morbidity in older patients undergoing gastrointestinal surgery: a prospective cohort study

BACKGROUND

Many assessment tools have been used to identify frail surgical patients. This study was designed to explore the prediction value of the frailty index (FI) for postoperative morbidity in older patients undergoing elective gastrointestinal surgery.

METHODS

Between January 2019 and September 2020, we conducted a prospective study in our hospital, and patients aged over 65 years were enrolled. The FI assessment was conducted by two specialist nurses based on the 38-item scale, and patients were considered frail if the FI score was ≥ 0.25. The primary outcome was 30-day postoperative morbidity. Univariable and multivariable analyses were used to find the risk factors related to postoperative morbidity.

RESULTS

A total of 246 consecutive patients were enrolled, for whom the median age was 72.0 [interquartile range (IQR): 67.0-77.0] years old, and 175 (71.1%) were male. Of these, 47 (19.1%) were frail. Patients with frailty were associated with older age (p < 0.001), higher American Society of Anesthesiologists (ASA) grade (p = 0.006), lower body mass index (p = 0.001), lower albumin (p = 0.003) and haemoglobin (p < 0.001) levels, increased blood loss (p = 0.034), increased risk of postoperative morbidity (p < 0.001), increased median length of stay (p = 0.017), and increased median postoperative hospital stay (p = 0.003). Multivariable analysis revealed that ASA grade [odds ratio (OR): 2.59, 95% confidence interval (CI) 1.19-5.64, p = 0.016], FI score (OR 7.68, 95% CI 3.19-18.48, p < 0.001) and surgical complexity (OR 22.83, 95% CI 5.46-95.51, p < 0.001) were independent predictors of 30-day postoperative morbidity. However, for patients with major surgery, FI score was the only independent predictor (OR 8.67, 95% CI 3.23-23.25, p < 0.001).

CONCLUSION

Frailty was associated with adverse perioperative outcomes, and the 38-item FI scale was a useful frailty screening tool for older patients undergoing elective gastrointestinal surgery. For patients with major surgery, frailty was a more reliable predictor of postoperative 30-day morbidity than age and ASA grade.

Association between frailty and clinical outcomes in surgical patients admitted to intensive care units: a systematic review and meta-analysis

BACKGROUND

Preoperative frailty may be a strong predictor of adverse postoperative outcomes. We investigated the association between frailty and clinical outcomes in surgical patients admitted to the ICU.

METHODS

PubMed, Embase, and Ovid MEDLINE were searched for relevant articles. We included full-text original English articles that used any frailty measure, reporting results of surgical adult patients (≥18 yr old) admitted to ICUs with mortality as the main outcome. Data on mortality, duration of mechanical ventilation, ICU and hospital length of stay, and discharge destination were extracted. The quality of included studies and risk of bias were assessed using the Newcastle Ottawa Scale. Data were synthesised according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines.

RESULTS

Thirteen observational studies met inclusion criteria. In total, 58 757 patients were included; 22 793 (39.4%) were frail. Frailty was associated with an increased risk of short-term (risk ratio [RR]=2.66; 95% confidence interval [CI]: 1.99-3.56) and long-term mortality (RR=2.66; 95% CI: 1.32-5.37). Frail patients had longer ICU length of stay (mean difference [MD]=1.5 days; 95% CI: 0.8-2.2) and hospital length of stay (MD=3.9 days; 95% CI: 1.4-6.5). Duration of mechanical ventilation was longer in frail patients (MD=22 h; 95% CI: 1.7-42.3) and they were more likely to be discharged to a healthcare facility (RR=2.34; 95% CI: 1.36-4.01).

CONCLUSION

Patients with frailty requiring postoperative ICU admission for elective and non-elective surgeries had increased risk of mortality, lengthier admissions, and increased likelihood of non-home discharge. Preoperative frailty assessments and risk stratification are essential in patient and clinician planning, and critical care resource utilisation.

CLINICAL TRIAL REGISTRATION

PROSPERO CRD42020210121.

Association between frailty and patient outcomes after cancer surgery: a population-based cohort study

BACKGROUND

Frailty is associated with poor postoperative outcomes, but existing data do not describe frailty's interaction with tumour characteristics at the time of cancer surgery. Our objective was to estimate the association between frailty and long-term survival, and to explore any interaction with tumour stage and grade.

METHODS

This was a population-based cohort study conducted using linked provincial health administrative data in Ontario, Canada (2009-20). Using a cancer registry, we identified adults having elective cancer surgery. Frailty was measured using a validated index (range 0-1; higher score=greater frailty). Associations between frailty and long-term postoperative survival (primary outcome) were estimated using proportional hazards regression. Secondary outcomes were length of stay, discharge destination, days alive at home, and healthcare costs.

RESULTS

We identified and included 52 012 patients. Mean frailty score was 0.13 (standard deviation 0.07). During follow-up, 19 378 (37.3%) patients died. After adjustment for risk factors, each 10% increase in frailty was associated with a 1.60-fold relative decrease in survival (95% confidence interval: 1.56-1.64). The frailty-survival association was strongest for patients with lower stage and grade cancers. Increased frailty was associated with longer hospital stays (3 days), fewer days alive and at home (42 days yr^-1), more frequent discharge to a nursing facility (2.38-fold), and increased healthcare costs ($6048).

CONCLUSIONS

Patient frailty is associated with decreased long-term survival after cancer surgery. The association is stronger for early-stage and -grade cancers, which would otherwise have a better survival prognosis.

The effect of frailty on post-operative outcomes and health care expenditures in patients treated with partial nephrectomy

OBJECTIVE

To examine the effect of frailty on short-term post-operative outcomes and total hospital charges (THCs) in patients with non-metastatic renal cell carcinoma, treated with partial nephrectomy (PN).

METHODS

Within the National Inpatient Sample (NIS) database we identified 25,545 patients treated with PN from 2000 to 2015. We used the Johns Hopkins Adjusted Clinical Groups (ACG) frailty-defining indicator and we examined the rates of frailty over time, as well as its effect on overall complications, major complications, blood transfusions, non-home-based discharge, length of stay (LOS) and THCs. Time trends and multivariable logistic, Poisson and linear regression models were applied.

RESULTS

Overall, 3574 (14.0%) patients were frail, 2677 (10.5%) were older than 75 years and 2888 (11.3%) had Charlson comorbidity index (CCI) ≥ 2. However, the vast majority of frail patients were neither elderly nor comorbid (83%). Rates of frail patients treated with PN increased over time, from 8.3 in 2000 to 18.1% in 2015 (all p < 0.001). Frail patients showed higher rates of overall complications (43.5 vs. 30.3%), major complications (16.6 vs. 9.8%), blood transfusions (11.6 vs 8.3%) and non-home-based discharge (9.9 vs. 5.4%). longer LOS [4 (IQR: 3-6) vs. 4 (IQR: 2-5) days] and higher THCs ($43,906 vs. $38,447 - all p < 0.001). Moreover, frailty status independently predicted overall complications (OR: 1.73), major complications (OR: 1.63), longer LOS (RR: 1.07) and higher THCs (RR: +$7506). Finally, a dose-response on the risk of suboptimal surgical outcomes was shown in patients with multiple risk factors.

CONCLUSIONS

One out of seven patients is frail at time of surgery and this rate is on the rise. Moreover, frailty is associated with adverse outcomes after PN. In consequence, preoperative assessment of frailty status should be implemented, to identify patients who may benefit from pre- or postoperative measures aimed at improving surgical outcomes in this patient population.

Beyond the revised cardiac risk index: Validation of the hospital frailty risk score in non-cardiac surgery

Frailty is an established risk factor for adverse outcomes following non-cardiac surgery. The Hospital Frailty Risk Score (HFRS) is a recently described frailty assessment tool that harnesses administrative data and is composed of 109 International Classification of Disease variables. We aimed to examine the incremental prognostic utility of the HFRS in a generalizable surgical population. Using linked administrative databases, a retrospective cohort of patients admitted for non-cardiac surgery between October 1st, 2008 and September 30th, 2019 in Alberta, Canada was created. Our primary outcome was a composite of death, myocardial infarction or cardiac arrest at 30-days. Multivariable logistic regression was undertaken to assess the impact of HFRS on outcomes after adjusting for age, sex, components of the Charlson Comorbidity Index (CCI), Revised Cardiac Risk Index (RCRI) and peri-operative biomarkers. The final cohort consisted of 712,808 non-cardiac surgeries, of which 55·1% were female and the average age was 53·4 +/- 22·4 years. Using the HFRS, 86.3% were considered low risk, 10·7% were considered intermediate risk and 3·1% were considered high risk for frailty. Intermediate and high HFRS scores were associated with increased risk of the primary outcome with an adjusted odds ratio of 1·61 (95% CI 1·50-1.74) and 1·55 (95% CI 1·38-1·73). Intermediate and high HFRS were also associated with increased adjusted odds of prolonged hospital stay, in-hospital mortality, and 1-year mortality. The HFRS is a minimally onerous frailty assessment tool that can complement perioperative risk stratification in identifying patients at high risk of short- and long-term adverse events.

Frailty and emergency abdominal surgery: A systematic review and meta-analysis

INTRODUCTION

Patients aged ≥65 years currently account for approximately 55% of all emergent operations. However, these patients account for 75% of post-operative mortality. Older age has long been associated with adverse outcomes from emergency surgery. However, old age is a heterogenous state. Recent studies have indicated that frailty may more accurately reflect true biological age and perioperative risk than chronological age alone in patients undergoing elective surgery. Few studies have evaluated the impact of frailty on post-operative outcomes in this setting.

METHODS

A systematic, electronic search for relevant publications was performed in November 2019 using Pubmed and Embase from 2009 to 2019. The latest search for articles was performed on February 16th, 2020. Articles were excluded if frailty was not measured using a frailty tool, or if patients did not undergo emergency general surgery (EGS).

RESULTS

The prevalence of frailty amongst patients undergoing emergency abdominal surgery was 30.8%. The all-cause mortality rate was 15.68%. The mortality rate amongst the frail undergoing EGS was 24.7%. Frailty was associated with an increased mortality rate compared with the non-frail (odds ratio (OR) 4.3, 95% CI 2.25-8.19%, p < 0.05, I² = 80%).

CONCLUSIONS

There is strong evidence to suggest that frailty in the older population predicts post-operative mortality, complications, prolonged length of stay and the loss of independence. Collaborative working with medicine for the elderly physicians to target modifiable aspects of the frailty syndrome in the perioperative pathway may improve outcomes. Frailty scoring should be integrated into acute surgical assessment practice to aid decision-making and development of novel postoperative strategies.

Association Between Frailty and Clinical Outcomes and Quality of Life in Older Adults Following Hip Fracture Surgery: A Retrospective Cohort Study

BACKGROUND

Hip fracture is a serious event in the older population and is associated with morbidity, mortality, and disability among those who survive. Emerging evidence suggests that frailty is pertinent to the clinical outcomes of older patients with hip fracture.

METHODS

We conducted a retrospective cohort study on older patients (aged ≥65 years) who underwent orthopedic repair with hip fracture under spinal or general anesthesia between June 1, 2019 and May 31, 2020. Demographic, surgical, and anesthetic features; chart-derived frailty index (CFI); occurrence of complications; and length of stay were retrospectively collected by reviewing patients' anesthesia records and medical charts. Patients were divided into 2 groups according to their CFI: high CFI group (CFI, 3-5) and low CFI group (CFI, 0-2). The CFI was calculated as the addition of the patient's conditions, including age >70 years, preoperative body mass index <18.5 kg/m2, hematocrit <35%, albumin <34 g/L, and serum creatinine >176.8 mol/L (2.0 mg/dL). The EuroQol 5-dimensional questionnaire (EQ-5D) was obtained through telephone interviews 12 months after surgery to assess mortality and long-term quality of life.

RESULTS

During the study period, 381 patients met the inclusion criteria. Patients in the high CFI group had an increased incidence of delirium by 13.80% (95% confidence interval [CI], 6.31-21.29) (17 [16.6%] vs 8 [2.8%]; P < .001) compared to patients in the low CFI group. More patients in the high CFI group had pneumonia with an increased incidence of 17.71% (95% CI, 7.08-23.34) (40 [39.2%] vs 60 [21.5%]; P < .001) than patients in the low CFI group. Postoperative hospital stay was significantly longer in the high CFI group (8 [6-12] vs 7 [5-10] days; P = .0222) than in the low CFI group. More patients died in the high CFI group 1 year after surgery with an increased mortality of 19.33% (95% CI, 9.47-29.18) (26.4% [23/87] vs 7.1% [16/225]; P < .001) than patients in the low CFI group. A total of 64 patients in the high CFI group and 209 patients in the low CFI group completed the EQ-5D survey 1 year after surgery. The EQ-5D score in the high CFI group was significantly lower than that in the low CFI group (0.63 ± 0.22 vs 0.72 ± 0.22; P = .002).

CONCLUSIONS

Frailty status is associated with adverse postoperative outcomes, mortality, and low quality of life 12 months after hip fracture surgery in older patients.

Validation of the Hospital Frailty Risk Score in older surgical patients: A population-based retrospective cohort study

BACKGROUND

There is a need for standardized and cost-effective identification of frailty risk. The objective was to validate the Hospital Frailty Risk Score which utilizes International Classification Diagnoses in a cohort of older surgical patients, assess the score as an independent risk factor for adverse outcomes and compare discrimination properties of the frailty risk score with other risk stratification scores.

METHODS

Data were analysed from all patients ≥65 years undergoing primary surgical procedures from 2006-2018. Patients were categorized based on the frailty risk score. The primary outcomes were 30-day mortality and 180-day risk of readmission.

RESULTS

Of 16 793 patients evaluated, 7480 (45%), 7605 (45%) and 1708 (10%) had a low, intermediate and high risk of frailty. There was a higher incidence of 30-day mortality for individuals with intermediate (2.9%) and high (8.3%) compared with low (1.4%) risk of frailty (P < .001 for both comparisons). Similarly, the hazard of readmission within the first 180 days was higher for intermediate (HR 1.25; 95% CI: 1.16-1.34) and high (HR 1.84; 95% CI: 1.66-2.03) compared with low (HR 1.00, P < .001 for both comparisons) risk of frailty. The hazard of long-term mortality was higher for intermediate (HR 1.70; 95% CI: 1.61-1.80) and high (HR 4.16; 95% CI: 3.84-4.49) compared with low (HR 1.00, P < .001 for both comparisons) risk of frailty. Finally, long length of primary hospitalization occurred for 9.3%, 15.0% and 27.3% of individuals with low, intermediate and high frailty risk (P < .001 for all comparisons). A model including age and ASA classification had the best discrimination for 30-day mortality (AUC 0.862; 95% CI: 0.847-0.877).

CONCLUSION

Our findings suggest that the Hospital Frailty Risk Score might be used to screen older surgical patients for risk of frailty. While only slightly improving prediction of 30-day mortality using the ASA classification, the Hospital Frailty Risk Score can be used to independently classify older patients for the risk of important outcomes using pre-existing readily available electronic data.

Implementation of a Frailty Assessment and Targeted Care Interventions and Its Association with Reduced Postoperative Complications in Elderly Surgical Patients

BACKGROUND

Older patients with frailty syndrome have a greater risk of poor postoperative outcomes. In this study, we used a RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework to implement an assessment tool to identify frail patients and targeted interventions to improve their outcomes.

STUDY DESIGN

We implemented a 5-question frailty assessment tool for patients 65 years and older admitted to the general and vascular surgery services from January 1, 2018 to December 31, 2019. Identified frail patients received evidence-based clinical orders and nursing care plan interventions tailored to optimize recovery. A RE-AIM framework was used to assess implementation effectiveness through provider and nurse surveys, floor audits, and chart review.

RESULTS

Of 1,158 patients included in this study, 696 (60.1%) were assessed for frailty. Among these, 611 patients (87.8%) scored as frail or intermediately frail. After implementation, there were significant increases in the completion rates of frailty-specific care orders for frail patients, including delirium precautions (52.1% vs 30.7%; p < 0.001), aspiration precautions (50.0% vs 26.9%; p < 0.001), and avoidance of overnight vitals (32.5% vs 0%). Floor audits, however, showed high variability in completion of care plan components by nursing staff. Multivariate analysis showed significant decreases in 30-day complication rates (odds ratio 0.532; p < 0.001) after implementation.

CONCLUSIONS

A frailty assessment was able to identify elderly patients for provision of targeted, evidence-based frailty care. Despite limited uptake of the assessment by providers and completion of care plan components by nursing staff, implementation of the assessment and care interventions was associated with substantial decreases in complications among elderly surgical patients.

Does patient positioning influence blood loss and transfusion rate in hip replacement for femoral neck fractures? A single-centre, retrospective chart review

Background

We compared blood loss and transfusion frequency between the lateral decubitus and the supine position in patients undergoing hip replacement surgery due to femoral neck fractures.

Methods

We retrospectively included femoral neck fracture patients treated with either hemi (HA) or total hip arthroplasty (THA). We included a total of 626 patients, of which 313 patients underwent surgery in the lateral decubitus position and 313 patients in the supine position. Preoperative and day 1 postoperative blood measures including hemoglobin (Hb), hematocrit (Hct), and red blood cell count (RBC) were evaluated, as well as transfusion records analyzed.

Results

The following decrease of laboratory parameters between pre- and 1st day postoperative measures was noted: RBC: -0.77 G/L (± 0.5 G/L, median = -0.80 G/L; range: -0.50 – -1.10 G/L); Hct: -7.08 % (± 4.7 %, range: -4.70 – -9.90 G/L); Hb: -2.36 g/dL (± 1.6 g/dL, range: -1.50. – -3.40 g/dL). We did not observe significant differences in transfusion frequency between the two study cohorts (p = 0.735 for THA, p = 0.273 for HA). No influence of patient positioning on Hb-decrease, Hct-decrease, or RBC-decrease was noted in our two-way ANOVA models with consideration of implant type and fixation technique (F(3,618) = 1.838, p = 0.139; F(3,618) = 2.606, p = 0.051; F(3,618) = 1.407, p = 0.240).

Conclusions

We did not observe  significant differences in perioperative blood values and transfusion rates in association with patient positioning in patients undergoing hip replacement surgery for femoral neck fractures.

Level of evidence

Level III, retrospective cohort study.

Association of Multimorbidity With Frailty in Older Adults for Elective Non-Cardiac Surgery

Introduction

Frailty is associated with adverse surgical outcomes. While existing studies describe the prevalence of multimorbidity and frailty in the community, the surgical population may have more severe disease and significant surgical stress. This study aims to describe the distribution of frailty and multimorbidity in the older surgical population and examine if specific comorbidities are more strongly associated with frailty.

Methods

This is a single-centre retrospective cohort study using an electronic database in the preoperative evaluation clinic, conducted in Singapore General Hospital, Singapore. All patients above 70 years old going for elective non-cardiac surgery were included. Demographics and comorbidities were analysed for their association with frailty according to the Edmonton Frail Scale.

Results

A total of 1396 out of 1398 patients were analyzed. The overall incidence of frailty was 27.8% and multimorbidity was 63.4%. Factors independently associated with frailty were age (adjusted Odds Ratio [aOR] = 1.07), female gender (aOR = 1.67), type 2 diabetes mellitus (aOR = 1.69), chronic kidney disease (aOR = 1.47), end-stage renal failure (aOR = 3.58), history of cerebrovascular accident or transient ischemic attack (aOR = 1.87), moderate anaemia (aOR = 2.11), dementia (aOR = 6.38), depression (aOR = 3.82), and peptic ulcer disease (aOR = 1.98). The presence of multi-morbidity was significantly associated with frailty, with overall increasing strength of association.

Conclusion

As the number of comorbidities increases, the odds of frailty increase. Only a small proportion of those with multimorbidity accumulate enough biological deficits to develop frailty, putting them at higher risk than with solely multimorbidity or frailty. Dementia and depression are comorbidities with strong associations that have yet to see coordinated interventional efforts in the preoperative setting.

Frailty status as a potential factor in increased postoperative opioid use in older adults

BACKGROUND

Prescription opioids are commonly used for postoperative pain relief in older adults, but have the potential for misuse. Both opioid side effects and uncontrolled pain have detrimental impacts. Frailty syndrome (reduced reserve in response to stressors), pain, and chronic opioid consumption are all complex phenomena that impair function, nutrition, psychologic well-being, and increase mortality, but links among these conditions in the acute postoperative setting have not been described. This study seeks to understand the relationship between frailty and patterns of postoperative opioid consumption in older adults.

METHODS

Patients ≥ 65 years undergoing elective surgery with a planned hospital stay of at least one postoperative day were recruited for this cohort study at pre-anesthesia clinic visits. Preoperatively, frailty was assessed by Edmonton Frailty and Clinical Frailty Scales, pain was assessed by Visual Analog and Pain Catastrophizing Scales, and opioid consumption was recorded. On the day of surgery and subsequent hospitalization days, average pain ratings and total opioid consumption were recorded daily. Seven days after hospital discharge, patients were interviewed using uniform questionnaires to measure opioid prescription use and pain rating.

RESULTS

One hundred seventeen patients (age 73.0 (IQR 67.0, 77.0), 64 % male), were evaluated preoperatively and 90 completed one-week post discharge follow-up. Preoperatively, patients with frailty were more likely than patients without frailty to use opioids (46.2 % vs. 20.9 %, p = 0.01). Doses of opioids prescribed at hospital discharge and the prescribed morphine milligram equivalents (MME) at discharge did not differ between groups. Seven days after discharge, the cumulative MME used were similar between cohorts. However, patients with frailty used a larger fraction of opioids prescribed to them (96.7 % (31.3, 100.0) vs. 25.0 % (0.0, 83.3), p = 0.007) and were more likely (OR 3.7, 95 % CI 1.13-12.13) to use 50 % and greater of opioids prescribed to them. Patients with frailty had higher pain scores before surgery and seven days after discharge compared to patients without frailty.

CONCLUSIONS

Patterns of postoperative opioid use after discharge were different between patients with and without frailty. Patients with frailty tended to use almost all the opioids prescribed while patients without frailty tended to use almost none of the opioids prescribed.

Intervention and efficacy of advance care planning for patients in intensive care units and their families: a scoping review protocol

AIM

This scoping review aims to elucidate the effectiveness of advance care planning interventions for patients entering the intensive care unit and their families.

DESIGN

Scoping review of relevant literature from January 2000-March 2020.

METHODS

This review includes studies undertaken in intensive care units that focus on patients older than 18 years or their families. The review will be conducted in accordance with the PRISMA-P guideline. The PubMed, EMBASE, CINAHL, BNI, PsycINFO and ICHUSHI databases and the Cochrane Library will be searched for both published and unpublished articles. Two independent reviewers will examine the list of remaining titles and summarize and identify articles that meet the inclusion criteria.

RESULTS

It has long been taboo to consider end-of-life care when in intensive care unit. However, promoting advance care planning, even in patients who are in the intensive care unit, is important and it may help support the patient's need for autonomy.

The effect of frailty on postoperative readmissions, morbidity, and mortality in endometrial cancer surgery

OBJECTIVES

To determine the impact of frailty on postoperative readmission, morbidity, and mortality among patients undergoing surgery for endometrial cancer.

METHODS

Patients with endometrial cancer undergoing hysterectomy between 2010 and 2014 were identified using the Nationwide Readmissions Database. Frailty was classified using criteria outlined by the Johns Hopkins Adjusted Clinical Groups Frailty Diagnoses Indicators. Primary outcomes were divided by index surgical admission (intensive level of care, mortality, non-routine discharge), 30-days (readmission and mortality), and 90-days (readmission and mortality) after discharge. Multivariable log linear regression models were fit to analyze the effect of frailty on these outcomes, adjusting for patient, hospital, and clinical factors.

RESULTS

From 2010 to 2014, there were 144,809 surgical endometrial cancer cases with a 1.8% frailty rate. Frailty was associated with an increased risk of intensive level of care (aRR = 3.61, 95% CI: 2.95, 4.42), non-routine discharge (aRR = 1.59, 95% CI: 1.51, 1.68), and inpatient mortality (aRR = 2.05, 95% CI: 1.68, 2.51) during index admission. Frail patients were more likely to be readmitted within 30 days (RR 1.33, 95% CI 1.22-1.47) and 90-days (RR 1.21, 95% CI 1.12, 1.32), and were at increased risk of mortality during their 30-day readmission (aRR = 1.75, 95% CI: 1.28-2.39). Frailty was not associated with 90-day mortality. Hospitalization costs for frail patients were significantly higher than for non-frail patients during index admission and readmissions within 30 and 90 days (p < 0.05 for all).

CONCLUSIONS

Frailty affects postoperative outcomes in endometrial cancer patients and is associated with an increased rate of readmission and 30-day mortality among those who are readmitted. Gynecologic cancer providers should screen for frailty and consider outcomes in frail patients when counseling them for surgery.

Advance Care Planning for Intensive Care Patients During the Perioperative Period: A Qualitative Study

INTRODUCTION

Patients in intensive care units (ICUs) may transition into an end-of-life phase during treatment. Advance care planning (ACP) for this population has not been studied comprehensively, and support for its implementation is insufficient.

OBJECTIVE

This study aims to clarify the ACP support needs among critical perioperative patients.

METHODS

In this qualitative descriptive study, semistructured interviews were conducted with patients previously admitted to the ICU. The survey was conducted from September to November 2019. Participants comprised 13 individuals, who were admitted to the ICU for a period of 3 months to 2 years after surgery.

RESULTS

The average age of the participants was 63.8 years. The average mechanical ventilation duration following surgery was 24.5 h. The interviews focused on the ACP needs from the preoperative period to discharge. About 90% of the patients thought about the possibility of death before surgery and considered giving advance orders (e.g., "I don't want life-sustaining treatment"). The participants discussed inheritance, work-related matters, and household issues with their families but rarely spoke about treatment and care. Although they examined the content of the advance directives, the medical staff was not informed about them. Patients revealed that they wanted to understand the distinction between life-prolonging and life-saving treatments and discuss it with the medical staff, apart from being educated on ACP. Many patients previously admitted to the ICU are unclear about the difference between life-prolonging and life-saving treatments; this is also true for medical staff.

CONCLUSION

Patients who had been admitted to the ICU after high-risk surgery thought they needed help with ACP before surgery. Therefore, patients have the right to know about treatment risks; however, medical staff believes that this is difficult to communicate. Thus, medical staff should consider ways to communicate clearly with patients, including discussing the risks associated with surgery.

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 < .001). Frail patients had a significantly greater risk of 5-year mortality (unadjusted hazard ratio, 2.09; 95% confidence interval, 1.572-2.771; P < .001). After adjusting for surgical- and patient-related risk factors, the hazard ratio was 1.68 (95% confidence interval, 1.231-2.286; P = .001).

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.

Perioperative management in cardiovascular surgery

Cardio-surgical patient care requires a comprehensive and multidisciplinary approach to develop strategies to improve patient safety and outcomes. In the preoperative period, prophylaxis for frequent postoperative complications, such as de novo atrial fibrillation or bleeding, and prehabilitation based on exercise training, respiratory physiotherapy and nutritional and cognitive therapy, especially in fragile patients, stand out. There have been great advances, during the intraoperative phase, such as minimally invasive surgery, improved myocardial preservation, enhanced systemic perfusion and brain protection during extracorporeal circulation, or implementation of Safe Surgery protocols. Postoperative care should include goal-directed hemodynamic theraphy, a correct approach to coagulation disorders, and a multimodal analgesic protocol to facilitate early extubation and mobilization. Finally, optimal management of postoperative complications is key, including arrhythmias, vasoplegia, bleeding, and myocardial stunning that can lead to low cardiac output syndrome or, in extreme cases, cardiogenic shock. This global approach and the high degree of complexity require highly specialised units where intensive care specialists add value and are key to obtain more effective and efficient clinical results.

"Fit for Surgery? What's New in Preoperative Assessment of the High-Risk Patient Undergoing Pulmonary Resection"

Advances in perioperative assessment and diagnostics, together with developments in anesthetic and surgical techniques, have considerably expanded the pool of patients who may be suitable for pulmonary resection. Thoracic surgical patients frequently are perceived to be at high perioperative risk due to advanced age, level of comorbidity, and the risks associated with pulmonary resection, which predispose them to a significantly increased risk of perioperative complications, increased healthcare resource use, and costs. The definition of what is considered "fit for surgery" in thoracic surgery continually is being challenged. However, no internationally standardized definition of prohibitive risk exists. Perioperative assessment traditionally concentrates on the "three-legged stool" of pulmonary mechanical function, parenchymal function, and cardiopulmonary reserve. However, no single criterion should exclude a patient from surgery, and there are other perioperative factors in addition to the tripartite assessment that need to be considered in order to more accurately assess functional capacity and predict individual perioperative risk. In this review, the authors aim to address some of the more erudite concepts that are important in preoperative risk assessment of the patient at potentially prohibitive risk undergoing pulmonary resection for malignancy.

Frailty impact on postoperative complications and early mortality rates in patients undergoing radical cystectomy for bladder cancer: a systematic review

Objective: To assess the prevalence of frailty, a status of vulnerability to stressors leading to adverse health events, in bladder cancer patients undergoing radical cystectomy (RC), and test the impact of frailty measurements on postoperative adverse outcomes.

Methods: A systematic review of English-language articles published up to April 2020 was performed. Electronic databases were searched to quantify the frailty prevalence in RC patients and assess the predictive ability of frailty indexes on RC-related outcomes as postoperative complications, early mortality, hospitalization length (LOS), costs, discharge dispositions, readmission rate.

Results: Eleven studies were selected. Patients’ frailty was identified by Johns Hopkins indicator (JHI) in two studies, 11-item modified Frailty Index (mFI) in four, 5-item simplified FI (sFI) in three, 15-point mFI in one, Fried Frailty Criteria in one. Considering all the frailty measurements applied, 8% and 31% of patients were frail or pre-frail, respectively. Frail (43%) and pre-frail patients (35%) were more at risk of major complications compared to non-frail (27%) using sFI; with JHI the percentages of frail and non-frail were 53% versus 19%. According to JHI and mFI frailty was related to longer LOS and higher costs. JHI identified that 3% of frail patients experience in-hospital mortality versus 1.5% of non-frail. Finally, using sFI, frail (28%), and pre-frail (19%) were more likely to be discharged non-home compared to non-frail patients (8%) and had a higher risk of 30-day mortality (4% and 2% versus 1%).

Conclusions: Almost half of RC patients were frail or pre-frail, conditions significantly related to an increased risk of postoperative adverse events with higher rates of major complications and early mortality. The most-used frailty index was mFI, while JHI and sFI resulted the most reliable to predict early postoperative RC-related adverse outcomes and should be routinely included in clinical practice after better standardization throughout prospective comparative studies.

Abbreviations: ACG: Adjusted Clinical Groups; ACS: American College Surgeons; AUC: area under the curve; BCa: bladder cancer; CCI: Charlson Comorbidity Index; CSHA-FI: Canadian Study of Health and Aging Frailty Index; CCS: Clavien-Dindo Classification Score; ERAS: Enhanced Recovery After Surgery; FFC: Fried Frailty Criteria; (e)(m)(s)FI: (extended) (modified) (simplified) Frailty Index; ICU: intensive care unit; IQR: interquartile range; (p)LOS: (prolonged) length of hospital stay; NSQIP: National Surgical Quality Improvement Program; OR: odds ratio; (O)PN: (open) partial nephrectomy; PRISMA: Preferred Reporting Items for Systematic reviews and Meta-Analyses; (O)(RA)RC: (open)(robot-assisted) radical cystectomy; (O)RN: (open) radical nephrectomy; ROC: receiver operating characteristic; RNU: radical nephroureterectomy; (R)RP: (retropubic) radical prostatectomy; RR: relative risk; THCs: total hospital charges; nephrectomy; UD: urinary diversion

Emergency laparotomy in the older patient: factors predictive of 12-month mortality-Salford-POPS-GS. An observational study

INTRODUCTION

Although high rates of in-hospital mortality have been described in older patients undergoing emergency laparotomy (EL), less is known about longer-term outcomes in this population. We describe factors present at the time of hospital admission that influence 12-month survival in older patients.

METHODS

Observational study of patients aged 75 years and over, who underwent EL at our hospital between 8th September 2014 and 30th March 2017.

RESULTS

113 patients were included. Average age was 81.9 ± 4.7 years, female predominance (60/113), 3 (2.6%) lived in a care home, 103 (91.2%) and 79 (69.1%) were independent of personal and instrumental activities of daily living (ADLs) and 8 (7.1%) had cognitive impairment. Median length of stay was 16 days ± 29.9 (0-269); in-hospital mortality 22.1% (25/113), post-operative 30-day, 90-day and 12-month mortality rates 19.5% (22), 24.8% (28) and 38.9% (44). 30-day and 12-month readmission rates 5.7% (5/88) and 40.9% (36). 12-month readmission was higher in frail patients, using the Clinical Frailty Scale (CFS) score (64% 5-8 vs 31.7% 1-4, p = 0.006). Dependency for personal ADLs (6/10 (60%) dependent vs. 38/103 (36.8%) independent, p = 0.119) and cognitive impairment (5/8 (62.5%) impaired vs. 39/105 (37.1%) no impairment, p = 0.116) showed a trend towards higher 12-month mortality. On multivariate analysis, 12-month mortality was strongly associated with CFS 5-9 (HR 5.0403 (95% CI 1.719-16.982) and ASA classes III-V (HR 2.704 95% CI 1.032-7.081).

CONCLUSION

Frailty and high ASA class predict increased mortality at 12 months after emergency laparotomy. We advocate early engagement of multi-professional teams experienced in perioperative care of older patients.

Preoperative Frailty Predicts Postoperative Neurocognitive Disorders After Total Hip Joint Replacement Surgery

BACKGROUND

Frailty is a reduced capacity to recover from a physiologically stressful event. It is well established that preoperative frailty is associated with poor postoperative outcomes, but it is unclear if this includes cognitive decline following anesthesia and surgery. This retrospective observational study was a secondary analysis of data from a previous study (the Anaesthesia, Cognition, Evaluation [ACE] study). We aimed to identify if preoperative frailty or prefrailty is associated with preoperative and postoperative neurocognitive disorders or postoperative cognitive dysfunction.

METHODS

The ACE study enrolled 300 participants aged ≥60 scheduled for elective total hip joint replacement and who underwent a full neuropsychological assessment at baseline and 3 and 12 months postoperatively. We applied patient data to 2 frailty models; both were based on an accumulation of deficits score: the reported Edmonton frail scale (REFS) and the comprehensive geriatric assessment-frailty index (CGA-FI) based on the comprehensive geriatric assessment. We calculated these 2 scores using baseline data collected from the medical history, demographic and clinical data as well as self-reported questionnaires. Some items on the REFS (3 of 18 or 17%) and the CGA-FI (37 of 51 or 27%) did not have an equivalent item in the ACE data.

RESULTS

The mean age (standard deviation [SD]) was 70.1 years (6.6) with more women (197 [66%]). Using the REFS model, 40 of 300 (13.3%) patients were classified as vulnerable, mild, or moderately frail. Using the CGA-FI model, 69 of 300 (23%) were classified as intermediate or high frailty. The REFS and the CGA-FI were strongly correlated (r = 0.75; P < .01) with 34 of 300 (11%) meeting criteria for frailty by both the REFS and the CGA-FI.Frailty or prefrailty was associated with cognitive decline at 3 and 12 months using the REFS (odds ratio [OR], 1.51, 95% confidence interval [CI], 1.02-2.23 and OR, 2.00, 95% CI, 1.26-3.17, respectively) after adjusting for baseline mini-mental state examination (MMSE), smoking, hypertension, diabetes, history of acute myocardial infarction (AMI), and estimated intelligence quotient (IQ). Age did not modify this association. After adjusting for multiple comparisons, 3-month cognitive decline was no longer significantly associated with baseline frailty.

CONCLUSIONS

This retrospective analysis demonstrates an association between baseline frailty and postoperative neurocognitive disorders, particularly using the more extensive REFS scoring method. This supports preoperative screening for frailty to risk-stratify patients, and identify and implement preventive strategies and to improve postoperative outcomes for older individuals.

A cohort study investigating the relationship between patient reported outcome measures and pre-operative frailty in patients with operable, non-palliative colorectal cancer

Background

Frailty refers to the reduction in homeostatic reserve resulting from an accumulation of physiological deficits over a lifetime. Frailty is common in older patients undergoing surgery and is an independent risk factor for post-operative mortality, morbidity and increased length of hospital stay. In frail individuals, stressors, such as surgery, can precipitate an acute deterioration in health, manifesting as delirium, falls, reduction in mobility or continence, rendering these individuals at an increased risk of adverse perioperative outcomes. However, little is known about how frailty affects the patient experience, functional ability and quality of life (QoL) after surgery. In addition, the distribution of frailty in this population is unknown.

Methods

We will conduct a multi-centre observational trial to investigate the relationship between patient reported outcome measures and preoperative frailty. We aim to recruit approximately two-hundred patients with operable, potentially curative colorectal cancer. Eligible patients will be identified at three hospital sites. QoL and functional ability (measured using EORTC QLQ-C30 and WHO-DAS 2.0 respectively) will be recorded at the pre-operative assessment clinic, and at 6 and 12 weeks postoperatively. Frailty scores including the Edmonton Frail Scale (EFS) and Rockwood clinical frailty scale (CFS) will be calculated both preoperatively, and at 12 weeks post-operatively. Secondary outcome measures including post-operative morbidity and mortality will be measured using Clavien Dindo classification and 90-day mortality.

Discussion

This observational feasibility study seeks to define the prevalence of frailty in older (> 65 years) colorectal cancer patients and understand how frailty impacts on patient reported outcome measures. This information will help to inform larger studies relating to treatment decision algorithms and promote shared decision making in this population.

Immediate and Long-Term Health Care Support Needs of Older Adults Undergoing Cancer Surgery: A Population-Based Analysis of Postoperative Homecare Utilization

BACKGROUND

Functional outcomes are central to decision-making by older adults (OA), but long-term risks after cancer surgery have not been described beyond 1 year for this population. This study aimed to evaluate long-term health care support needs by examining homecare use after cancer surgery for OA.

METHODS

This population-based study investigated adults 70 years of age or older with a new cancer diagnosis between 2007 and 2017 who underwent resection. The outcomes were receipt and intensity of homecare from postoperative discharge to 5 years after surgery. Time-to-event analysis with competing events was used.

RESULTS

Among 82,037 patients, homecare use was highest (43.7% of eligible patients) in postoperative month 1. The need for homecare subsequently decreased to stabilize between year 1 (13.9%) and year 5 (12.6%). Of the patients not receiving preoperative homecare, 10.9% became long-term users at year 5 after surgery. Advancing age, female sex, frailty, high-intensity surgery, more recent period of surgery, and receipt of preoperative homecare were associated with increased hazards of postoperative homecare. Intensity of homecare went from 10.3 to 10.1 days per patient-month between month 1 and year 1, reaching 12 days per patient-month at year 5. The type of homecare services changed from predominantly nursing care in year 1 (51.9%) to increasing personal support services from year 2 (69.6%) to year 5 (77.5%).

CONCLUSION

Receipt of homecare increased long-term after cancer surgery for OA, peaking in the first 6 months and plateauing thereafter at a new baseline. One tenth of the patients without preoperative homecare became long-term homecare users postoperatively, indicating changing health care needs focused on personal support services from year 2 to year 5.