15.24 The Impact of Frailty Scores on Mortality for Obese and Non-Obese Surgical Patients with Sepsis

M. Montgomery1, H. Baselice1, C. Collins1, J. Loftus1, W. Wahl1, J. Wisler1, A.D. Jalilvand1  1Ohio State University, Trauma, Critical Care, And Burns, Columbus, OH, USA

Introduction: We have previously shown that obesity is an independent predictor of mortality for septic surgical patients. It is unclear how pre-admission frailty using the modified 5-Item Frailty Index (mFI-5) modulates these data. The first objective of this study was to compare the prevalence of frailty in obese and non-obese septic surgical patients. The second goal was to define the implications of frailty on mortality for obese and non-obese surgical patients with sepsis. 

Methods:  We conducted a single-center retrospective review of patients admitted to the surgical ICU with sepsis (SOFA≥2, n=1401). The mFI-5 score (0-5) was calculated for each patient (hypertension requiring medication, chronic obstructive pulmonary disease, dependent functional status, congestive heart failure, and type II diabetes). Frailty (mFI-5 >2) was compared between non-obese (BMI 18.5-29.9 kg/m2, n=766) and obese patients (BMI >30 kg/m2, n=574). A multiple logistic regression was performed to determine baseline characteristics associated with a high frailty score using demographic, socioeconomic, and comorbidity data. Finally, we compared in-hospital, cumulative 90-day, and 90-day survival between obese and non-obese septic surgical patients based on frailty scores. A p <0.05 was considered significant.

Results: Using an mFI-5>2, 351 patients (25.1%) were considered severely frail. There was a higher prevalence of frailty in the obese versus non-obese cohort (30% vs 19%, p <0.001). Obesity was independently associated with a 90% increase in the odds of being frail (OR 1.92, 95th CI: 1.4-2.7), after adjusting for transfer status, socioeconomic distress, sex, age, race, and Charlson Comorbidity Index. Next, we compared in-hospital and 90-day mortality by obesity and frailty status. Within frail patients, there was no difference in in-hospital and 90-day mortality between obese and non-obese cohorts (35% vs 29%, p =0.22; 41% vs 38%, p=0.55). For non-frail patients, obesity was significantly associated with higher mortality at both time points (26% vs 15%, p <0.001; 31.5% vs 24%, p <0.001). Finally, 90-day Kaplan-Meier curves demonstrated comparable survival between the frail obese and non-obese cohorts. Within non-frail patients, obesity was associated with reduced 90-day survival compared to the non-obese patients (Figure 1).

Conclusion: Obesity is highly associated with frailty as measured by the mFI-5, underlining its implications on physiologic reserve. The impact of obesity on survival was magnified in non-frail patients, while the presence of frailty had a more dominant impact on mortality regardless of BMI. Future studies should evaluate the impact of malnutrition and clinical frailty scores in these populations