"Age is just a number"; frailty as a marker of peri-operative risk in head and neck surgery: Systematic review and meta-analysis

Multi-Domain Screening: Identification of Patient's Risk Profile Prior to Head-and-Neck Cancer Treatment

BACKGROUND

Head-and-neck cancer (HNC) can give rise to oropharyngeal dysphagia (OD), malnutrition, sarcopenia, and frailty. Early identification of these phenomena in newly diagnosed HNC patients is important to reduce the risk of complications and to improve treatment outcomes. The aim of this study was (1) to determine the prevalence of the risk of OD, malnutrition, sarcopenia, and frailty; and (2) to investigate the relation between these phenomena and patients' age, performance status, and cancer group staging.

METHODS

Patients (N = 128) underwent multi-domain screening consisting of the Eating Assessment Tool-10 for OD, Short Nutritional Assessment Questionnaire and BMI for malnutrition, Short Physical Performance Battery and Hand Grip Strength for sarcopenia, and Distress Thermometer and Maastricht Frailty Screening Tool for frailty.

RESULTS

26.2%, 31.0%, 73.0%, and 46.4% of the patients were at risk for OD, malnutrition, sarcopenia, or frailty, respectively. Patients with an advanced cancer stage had a significantly higher risk of OD and high levels of distress prior to cancer treatment.

CONCLUSIONS

This study identified the risk profile of newly diagnosed HNC patients using a standardized 'quick and easy' multi-domain screening prior to cancer treatment.

Positive factors on survival of head and neck cancer of unknown primary: what the clinician can do

BACKGROUND

Management of patients with head and neck cancer of unknown primary (HNCUP) is challenging.

AIMS/OBJECTIVES

To provide a long-term analysis focusing on protective survival factors for clinical decision-making. Furthermore, the prognostic value of the current N classification system was evaluated.

MATERIAL AND METHODS

We retrospectively analyzed patients with HNCUP between 2003 and 2016. Univariate and multivariate analyses were used to investigate predictors of overall survival (OS).

RESULTS

A primary tumor was found in 67 of 290 patients with suspected HNCUP, leaving after exclusion 141 HNCUP cases for analysis, who received multi-step therapy (MST) (n = 108) or single therapy (n = 28). Chemotherapy (CT) (n = 101), curative MST, ≤3 positive lymph nodes (LN) (n = 33), squamous cell carcinoma (SCC) (n = 123), HPV+ (n = 21), M0 (n = 70) increased OS by 21.8%, 24.4%, 12.7%, 6.8%, 18.7%, 29.6%, respectively. 5- and 10-year OS was 78.1%/66.6%. The number of metastatic LNs predicted OS is better than N classification.

CONCLUSION AND SIGNIFICANCE

Aspects for clinical decision-making: Curative MST and SCC histology were the most significant predictors for improved OS. Categorizing LN into 1, 2-3, and >3 LNs was more significant than the traditional N classification. The addition of CT to curative MST has a stronger impact on survival than HPV and N classifications.

Management of Older Patients with Head and Neck Cancer: A Comprehensive Review

The projected increase in life expectancy over the next few decades is expected to result in a rise in age-related diseases, including cancer. Head and neck cancer (HNC) is a worldwide health problem with high rates of morbidity and mortality. In this report, we have critically reviewed the literature reporting the management of older patients with HNC. Older adults are more prone to complications and toxicities secondary to HNC treatment, especially those patients who are frail or have comorbidities. Thus, this population should be screened prior to treatment for such predispositions to maximize medical management of comorbidities. Chronologic age itself is not a reason for choosing less intensive treatment for older HNC patients. Whenever possible, also older patients should be treated according to the best standard of care, as nonstandard approaches may result in increased treatment failure rates and mortality. The treatment plan is best established by a multidisciplinary tumor board with shared decision-making with patients and family. Treatment modifications should be considered for those patients who have severe comorbidities, evidence of frailty (low performance status), or low performance status or those who refuse the recommendations of the tumor board.

Frailty as a predictor of adverse outcomes in head and neck reconstruction: A systematic review

BACKGROUND

Frailty has been shown to adversely impact outcomes in a number of surgical disciplines. In head and neck reconstructive surgery, frailty may represent a significant risk factor in predicting post-operative outcomes due to the common characteristics of the patient population undergoing these procedures.

OBJECTIVES

To summarize the available evidence about frailty as a predictor of post-operative complications, length of hospital stay and quality of life in patients undergoing head and neck reconstructive surgery.

STUDY DESIGN

Systematic Review.

METHODS

The study protocol was registered with PROSPERO, registration CRD42022302899. Methodology was in keeping with the PRISMA Guidelines for Systematic Reviews. MEDLINE, SCOPUS, EMBASE, Web of Science and CENTRAL were the databases searched. Qualitative synthesis of the included studies was carried out, and quality assessment was performed.

RESULTS

Nine studies that reported data on 10,457 patients undergoing reconstruction of the head and neck were included in the review. A number of different tools were used to assess frailty, with the modified frailty index being the most frequently used. In total, 8 studies reported increased rates of complications in patients with increased levels of frailty, irrespective of the frailty tool used, with varied levels of statistical significance across the studies.

CONCLUSION

An association is observed between increased rates of perioperative complications and increased levels of frailty in patients undergoing head and neck reconstruction. Frailty tools may represent a useful method to risk stratify patients undergoing reconstructive head and neck surgery.

Frailty Assessed with FRAIL Scale and G8 Questionnaire Predicts Severe Postoperative Complications in Patients Receiving Major Head and Neck Surgery

Introduction: Frailty represents a complex geriatric syndrome associated with elevated rates of postoperative complications as shown for several malignant entities, including head and neck cancer. A specific screening instrument to assess frailty in head and neck patients does not exist. Both the FRAIL Scale and the G8 questionnaire are well-established and easy to use as screening tools. The present study’s aim was to assess the potential of frailty screening to predict postoperative complications in head and neck patients prior to surgery. Patients and methods: We recorded demographic data, pre-existing medical conditions and clinical characteristics in a prospective cohort of 104 head and neck cancer patients undergoing major head and neck surgery and assessed frailty prospectively on the day of admission utilizing the G8 questionnaire and the FRAIL Scale. We analyzed the link between occurrence of postoperative complications up to the twenty-first postoperative day and age, frailty and other covariates using χ² tests and receiver operating characteristic (ROC) curves. Results: There was no significant correlation between patients’ pre-existing medical conditions and postoperative complications. Whereas chronological age alone did not predict the occurrence of postoperative complications, frailty posed the highest risk for complications. Frailty according to either the G8 questionnaire or the FRAIL Scale predicted occurrence of complications with an area under the curve (AUC) of 0.64 (p = 0.018) and 0.62 (p = 0.039) and severe complications with an AUC of 0.72 (p = 0.014) and 0.69 (p=0.031), respectively. Neither frailty score correlated with age or with each other. Conclusion: Prospective screening using the FRAIL Scale or the G8 questionnaire reliably detected frailty in our sample group. Frailty is linked to increased risk of postoperative complications. The correct prediction of severe postoperative complications as shown identifies vulnerable cases and triggers awareness of potential complications. Anticipating risk allows for a more comprehensive view of the patient and triggers decision making towards risk adjustment, and therefore a selective view of alternative treatment modalities.