Association of frailty with 90-day postoperative mortality & geriatric comanagement among older adults with cancer

How to compensate for frailty? The real life impact of geriatric co-management on morbi-mortality after colorectal cancer surgery in patients aged 70 years or older

In Europe, CRC is the second most common cause of cancer death, and surgery remains the mainstay curative treatment. Age and frailty are associated with an increased risk of postoperative morbidity and 1-year mortality. Chronological age is not sufficient to assess the risk of postoperative complications. The CGA has been developed to better identify frail patients. Geriatric co-management have been developed to optimize the post-operative outcomes. We analyzed the real-life of geriatric co-management within an ERAS program on surgical outcomes at 90 days and oncologic outcomes at 1 year in patients aged 70 years or older after surgery for CRC. This was a retrospective study based on a prospective cohort. Fifty-one patients with a G8 score ≤ 14 were referred to geriatricians for preoperative CGA (Frail Group). They were compared with 151 patients with a G8 score ≥ 15 (Robust Group). In the Frail Group, patients were significantly older with more comorbidities than the patients in the Robust Group. Oncologic characteristics, treatments and global post-operative outcomes were comparable between the two groups. One year after surgery mortality and recurrence rates were similar between the two groups. Our study suggests that geriatric co-management is feasible and contributes to the reduction of postoperative morbimortality. Moreover, performing the CGA after G8 score screening and completion of geriatric interventions resulted in similar 90-day postoperative outcomes, in frail patients than in robust patients. Our results confirmed the benefit of geriatric co-management, involving G8 screening, CGA, and ERAS, for frail older patients undergoing surgery for CRC.

Impact of a Hospitalist Co-Management Program on Medical Complications and Length of Stay in Neurosurgical Patients

BACKGROUND

The impact of co-management on clinical outcomes in neurosurgical patients is uncertain. This study aims to describe the implementation of a hospitalist co-management program in a neurosurgery department and its impact on the incidence of complications, mortality, and length of stay.

METHODS

The authors used a quasi-experimental study design that compared a historical control period (July-December 2017) to a prospective intervention arm. During the intervention period, patients admitted to a neurosurgery inpatient unit who were older than 65 years, suffered certain conditions, or were admitted from ICUs were included in the co-management program. Two hospitalists joined the surgical staff and intervened in the diagnostic and therapeutical plan of patients, participating in clinical decisions and coordinating patient navigation with neurosurgeons. The incidence of moderate or severe complications measured by the Accordion Severity Grading System, in-hospital mortality, and length of stay of the two cohorts were compared. Multivariate regression was used to adjust for confounders, and the average treatment effect was estimated using inverse probability of treatment weighting.

RESULTS

The adjusted incidence of moderate or severe complications was lower among co-managed patients (odds ratio [OR] 0.60, 95% confidence interval [CI] 0.39-0.91). Mortality was unchanged (OR 0.83, 95% CI 0.15-4.17). Length of stay was lower in co-managed patients, with a 1.3-day reduction observed after inverse probability of treatment weighting analysis.

CONCLUSION

Hospitalist co-management was associated with a reduced incidence of complications and length of stay in neurosurgical patients, but there was no difference in in-hospital mortality.

Mortality Risks after Two Years in Frail and Pre-Frail Older Adults Admitted to Hospital

BACKGROUND

Frailty is characterized by a progressive decline in the physiological functions of multiple body systems that lead to a more vulnerable condition, which is prone to the development of various adverse events, such as falls, hospitalization, and mortality. This study aims to determine whether frailty increases mortality compared to pre-frailty and to identify variables associated with a higher risk of mortality.

MATERIALS

Two cohorts, frail and pre-frail subjects, are evaluated according to the Fried phenotype. A complete examination of frailty, cognitive status, comorbidities and pharmacology was carried out at hospital admission and was extracted through electronic health record (EHR). Mortality was evaluated from the EHR.

METHODS

Kaplan-Meier estimates of survival probability functions were calculated at two years censoring time for frail and pre-frail cohorts. The log-rank test assessed significant differences between survival probability functions. Significant variables for frailty (p < 0-05) were extracted by independent sample t-test. Further selection was based on variable significance found in multivariate logistic regression discrimination between frail and pre-frail subjects. Cox regression over univariate t-test-selected variables was calculated to identify variables associated with higher proportional hazard risks (HR) at two years.

RESULTS

Frailty is associated with greater mortality at two years censoring time than pre-frailty (log-rank test, p < 0.0001). Variables with significant (p < 0.05) association with mortality identified in both cohorts (HR 95% (CI in the frail cohort) are male sex (0.44 (0.29-0.66)), age (1.05 (1.01-1.09)), weight (0.98 (0.96-1.00)), and use of proton-pump inhibitors (PPIs) (0.60 (0.41-0.87)). Specific high-risk factors in the frail cohort are readmission at 30 days (0.50 (0.33-0.74)), SPPB sit and stand (0.62 (0.45-0.85)), heart failure (0.67 (0.46-0.98)), use of antiplatelets (1.80 (1.19-2.71)), and quetiapine (0.31 (0.12-0.81)). Specific high-risk factors in the pre-frail cohort are Barthel's score (120 (7.7-1700)), Pfeiffer test (8.4; (2.3-31)), Mini Nutritional Assessment (MNA) (1200 (18-88,000)), constipation (0.025 (0.0027-0.24)), falls (18,000 (150-2,200,000)), deep venous thrombosis (8400 (19-3,700,000)), cerebrovascular disease (0.01 (0.00064-0.16)), diabetes (360 (3.4-39,000)), thyroid disease (0.00099 (0.000012-0.085)), and the use of PPIs (0.062 (0.0072-0.54)), Zolpidem (0.000014 (0.0000000021-0.092)), antidiabetics (0.00015 (0.00000042-0.051)), diuretics (0.0003 (0.000004-0.022)), and opiates (0.000069 (0.00000035-0.013)).

CONCLUSIONS

Frailty is associated with higher mortality at two years than pre-frailty. Frailty is recognized as a systemic syndrome with many links to older-age comorbidities, which are also found in our study. Polypharmacy is strongly associated with frailty, and several commonly prescribed drugs are strongly associated with increased mortality. It must be considered that frail patients need coordinated attention where the diverse specialist taking care of them jointly examines the interactions between the diversity of treatments prescribed.

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

BACKGROUND

Frailty refers to a patient's reduced capacity to withstand stressors due to a reduction in physiologic reserves. We assessed the impact of frailty on outcomes following head and neck surgery.

METHODS

We performed a systematic review in accordance with the PRISMA guidelines. Meta-analysis was performed using the Mantel-Haenszel method.

RESULTS

Fourteen studies incorporating 182 059 patients were included in qualitative synthesis with 15 953 (8.8%) of patients deemed as frail. Meta-analysis incorporating nine studies demonstrated that frailty is associated with an increased 30 day postoperative morbidity (OR 2.74; 95% CI 1.98-3.80; p < 0.01) and meta-analysis with six studies suggested increased 30-day mortality (OR 2.94; 95% CI 2.62-3.31; p < 0.01). Preliminary meta-analyses between two and five studies suggested that frail patients had reduced overall survival and were more likely to be discharged to a nonhome location or readmitted within 30 days.

CONCLUSIONS

Frailty appears to be associated with poor short-term outcomes following head and neck surgery and may improve understanding of an individual patient's peri-operative risk.