When and how should surgery be performed in senior colorectal cancer patients?

Elderly Rectal Cancer: An Updated Review

PURPOSE OF REVIEW

Treatment of rectal cancer patients of advanced age should be modulated by life expectancy and tolerance. Due to the rapid advance of this field, we aim to conduct an updated review of this topic.

RECENT FINDINGS

The field of elderly rectal cancer has advanced a lot. This review covers all the treatment aspects of elderly rectal cancer, including the prognostic factor, surgery, radiotherapy, chemotherapy, and palliative treatment. We also provide the future aspect of the management of elderly rectal cancer. The advancement of prognostic factor research, surgery, radiotherapy, chemotherapy, and palliative treatment has made the care of elderly rectal cancer patients better. The future of these fields should focus on the definition of the elderly and the application of particle therapy.

Variation in hospital performances after colorectal cancer surgery: A case-mix adjusted Dutch population based study

BACKGROUND

This study aimed to investigate hospital variability in postoperative mortality and anastomotic leakage (AL) after colorectal cancer surgery, as well as the association with hospital volume and teaching status.

MATERIALS AND METHODS

This nationwide population based study derived data from CRC patients who underwent a surgical resection with primary anastomosis from the Netherlands Cancer Registry between 2015 and 2020. Primary outcomes were 90-day mortality and AL for colon cancer (CC) patients, and AL for rectal cancer (RC) patients. Logistic regression modelling was used to evaluate the association between case-mix factors and hospital volume. Variability in outcomes between hospitals was analysed with Poisson regression.

RESULTS

This study included 44,101 CRC patients, comprising 35,164 CC patients, and 8937 RC patients. In the CC cohort, the unadjusted rates of AL ranged from 2.6 % to 14.4 %, and the unadjusted 90-day mortality rates ranged from 0.0 % to 6.7 %. In the RC cohort, the unadjusted rates of AL ranged from 0.0 % to 28.6 %. After case-mix adjustment, two hospitals performed significantly worse than expected regarding 90-day mortality in the CC cohort, and in both CC and RC cohorts, significant outliers were observed concerning AL. Amongst CC patients, low case volume (OR 1.26 95%CI 1.08-1.46) was significantly associated with AL.

CONCLUSION

Statistically significant variations in hospital performance were observed among Dutch hospitals after CRC surgery, but this effect could not be entirely attributed to hospitals' teaching status. Nevertheless, concentrating care has the potential to improve outcomes by enhancing individual surgical performance and optimizing care pathways.

Age-related differences in colon and rectal cancer survival by stage, histology, and tumour site: An analysis of United States SEER-18 data

Age-related differences in colon and rectal cancer survival have been observed, even after accounting for differences in background mortality. To determine how stage, tumour site, and histology contribute to these differences, we extracted age-specific one-year relative survival ratio (RS) stratified by these factors. We used colon and rectal cancer cases diagnosed between 2012 and 2016 from 18 United States Surveillance Epidemiology and End Results cancer registries. For colon cancer, 1-year RS ranged from 87.8 % [95 % Confidence Interval: 87.5-88.2] in the 50-64-year-olds to 62.3 % [61.3-63.3] in 85-99-year-olds and for rectal cancer ranged from 92.3 % [91.8-92.7] to 65.0 % [62.3-67.5]. With respect to stage, absolute differences in RS between 50-64-year-olds and 75-84-year-olds increased with increasing stage (from 6 [5-7] %-points in localised disease to 27 [25-29] %-points in distant disease) and were the highest for cancers of unknown stage (> 28 %-points). Age-related differences in survival were smallest for persons with tumours in the right-sided colon (8 [7-9] %-points) and largest for tumours of the colon without tumour site further specified (25 [21-29] %-points). With respect to histology, differences ranged from 7.4 % to 10.6 %-points for cancers with one of the three primary histologies (adenocarcinoma, mucinous adenocarcinoma, signet ring cell carcinoma) and were several-fold higher (42 %-points) for those with unknown/other histology (< 6 % of cases). Because age-related differences in survival were observed for all histologies and tumour sites, RS differences are unlikely to be driven by differences in the distribution of these factors by age. Differences in stage distribution by age are likely to contribute toward age-related differences in survival. Within stage groups, age differences in survival could be explained by frailty and/or therapy. Future studies incorporating data on treatment and geriatric conditions including frailty and comorbidity would support further understanding of the age gap in colon and rectal cancer survival.

Inflammation-based prognostic scores in geriatric patients with rectal cancer

BACKGROUND

Morbidity/mortality and oncologic outcomes can be worsened in geriatric rectal cancer patients due to comorbidities and frailty. The aim of this study was to compare surgical and oncological results of geriatric rectal cancer patients using inflammation-based prognostic scores.

METHODS

The prospectively maintained database of 991 rectal cancer patients treated at our center between 2007 and 2020 were analyzed. All conventional clinicopathologic features, and oncologic outcomes are compared between patients ≥ 65 years old (geriatric patients: Group I) and < 65 years old (non-geriatric patients: Group II). The modified Glasgow Prognostic Score (mGPS) and the C-reactive protein-albumin ratio (CAR), were determined. The prognostic value of mGPS and CAR as well as the well-known clinico-pathologic factors to predict surgical morbidity, mortality, local and/or distant recurrence, and overall survival was assessed.

RESULTS

There were 567 (57.2%) patients who were ≥ 65 years old (Group I; 349 males, median age 74 [range 65-9]) years) and 424 (42.8%) who were < 65 years old (Group II; 252 males, median age 58 [range 20-64] years). The high-grade [Clavien-Dindo III-IV] complications rates of Group I and Group II patients sere 20% (n = 113), and 9% (n = 37), respectively. High-grade complications were related to mGPS (p < 0.001) and CAR (p < 0.001) values. The high-grade complication rate was found to be higher in Group I than in Group II, and this was statistically significant (p < 0.001). High preoperative mGPS and CAR values were significantly associated with postoperative mortality (p < 0.001). In Cox multivariate analysis, mGPS (p = 0.003) and CAR (p = 0.001) were significantly in correlation with lowered overall survival. The mGPS and CAR were found to be independent prognostic factors for overall survival.

CONCLUSIONS

The mGPS and CAR can predict severe postoperative complications and early mortality. mGPS, and CAR have a powerful prognostic value and the potential clinical usefulness to predict decreased overall survival in both geriatric and non-geriatric rectal cancer patients.

One-year functional outcomes of patients aged 80 years or more undergoing colonic cancer surgery: prospective, multicentre observational study

Background

Older patients are at high risk of experiencing delayed functional recovery after surgical treatment. This study aimed to identify factors that predict changes in the level of support for activities of daily living and mobility 1 year after colonic cancer surgery.

Methods

This was a multicentre, observational study conforming to STROBE guidelines. The prospective data included pre-and postoperative mobility and need for support in daily activities, co-morbidities, onco-geriatric screening tool (G8), clinical frailty scale (CFS), operative data, and postoperative surgical outcomes.

Results

A total of 167 patients aged 80 years or more with colonic cancer were recruited. After surgery, 30 per cent and 22 per cent of all patients had increased need for support and decreased motility. Multivariableanalysis with all patients demonstrated that preoperative support in daily activities outside the home (OR 3.23, 95 per cent c.i. 1.06 to 9.80, P = 0.039) was associated with an increased support at follow-up. A history of cognitive impairment (3.15, 1.06 to 9.34, P = 0.038) haemoglobin less than 120 g/l (7.48, 1.97 to 28.4, P = 0.003) and discharge to other medical facilities (4.72, 1.39 to 16.0, P = 0.013) were independently associated with declined mobility. With functionally independent patients, haemoglobin less than 120 g/l (8.31, 1.76 to 39.2, P = 0.008) and discharge to other medical facilities (4.38, 1.20 to 16.0, P = 0.026) were associated with declined mobility.

Conclusion

Increased need for support before surgery, cognitive impairment, preoperative anaemia, and discharge to other medical facilities predicts an increased need for support or declined mobility 1 year after colonic cancer surgery. Preoperative assessment and optimization should focus on anaemia correction, nutritional status, and mobility with detailed rehabilitation plan.

Frailty measures can be used to predict the outcome of kidney transplant evaluation

BACKGROUND

Experience incorporating frailty and functional metrics in the transplant evaluation process is limited. We hypothesized that simple tests correlate with kidney transplant listing outcomes.

METHODS

Frailty metrics, treadmill ability, pedometer data, troponin T, and brain natriuretic peptide were collected on 375 consecutive kidney transplant evaluations between July 2015 and December 2018. Patients initially denied were compared with those listed or deferred. Frailty metrics included handgrip, chair sit-stand, up-and-go, chair sit-reach, and questions related to exhaustion.

RESULTS

A total of 95 (25%) patients were initially denied. Those denied were older, diabetic, or had higher body mass indexes. Frailty metrics including chair sit-stand, up-and-go, chair sit-reach, grip strength, and exhaustion; biochemical markers troponin and brain natriuretic peptide; and pedometer and treadmill ability were all significantly associated with denial (P < .001). The best order three model combining parsimony and predictiveness included treadmill ability, exhaustion, and troponin. The most predictive pedometer model also included exhaustion and up-and-go. The best order three model excluding biochemical markers, pedometer, and treadmill results included up-and-go, exhaustion, and chair sit-reach.

CONCLUSION

Outcomes after on-site kidney transplant evaluation strongly correlated with the results of common clinical and functional frailty metrics.