scholarly journals PC108. Novel Bypass Risk Predictive Tool Is Superior to the 5-Factor Modified Frailty Index in Predicting Postoperative Mortality and Morbidity

2019 ◽  
Vol 69 (6) ◽  
pp. e235
Author(s):  
Zein Saadeddin ◽  
Jeffrey D. Borrebach ◽  
Efthymios Avgerinos ◽  
Michael J. Singh ◽  
Nathan L. Liang ◽  
...  
Keyword(s):  
Frailty Index ◽  
Postoperative Mortality ◽  
Predictive Tool ◽  
Mortality And Morbidity ◽  
Modified Frailty Index

scholarly journals The Impact of Frailty on Morbidity and Mortality following Open Emergent Colectomies

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Dominick V. Congiusta ◽  
Prashanth Palvannan ◽  
Aziz M. Merchant
Keyword(s):  
Care Setting ◽  
Frailty Index ◽  
Acute Care Setting ◽  
Improvement Program ◽  
Mortality And Morbidity ◽  
National Quality ◽  
American College Of Surgeons ◽  
Modified Frailty Index ◽  
The Impact ◽  
The Relationship

Background. Elderly and frail patients undergo open emergency colectomies and are at greater risk for complications. The relationship between frailty and open emergent colectomies is yet unexplored.Objective. The purpose of this study was to evaluate the relationship between frailty and outcomes after open emergent colorectal surgery.Design. Using the American College of Surgeons National Quality Improvement Program database, a validated modified frailty index was used, along with logistic regression, to assess the relationship between frailty and outcomes.Main Outcome Measures. Outcomes included mortality (primary), Clavien-Dindo Complication Grade >3, reintubation, ventilator >48 hours, and reoperation (secondary).Results. The rates for 30-day mortality, Clavien-Dindo Grade >3, reintubation, ventilator > 48 hours, and reoperation in our cohort were 16.6%, 36.9%, 8.6%, 23.9%, and 15.0%, respectively. There was a statistically significant increase in prevalence of all outcomes with increasing frailty.Limitations. A causal relationship between frailty and complications cannot be established in a retrospective analysis. Also, extrapolation of our data to reflect outcomes beyond 30 days must be done with caution.Conclusions. Frailty is a statistically significant predictor of mortality and morbidity after open emergent colectomies and can be used in an acute care setting.

Novel bypass risk predictive tool is superior to the 5-Factor Modified Frailty Index in predicting postoperative outcomes

2020 ◽  
Vol 72 (4) ◽  
pp. 1427-1435.e1
Author(s):  
Zein M. Saadeddin ◽  
Jeffrey D. Borrebach ◽  
Jacob C. Hodges ◽  
Efthymios D. Avgerinos ◽  
Michael Singh ◽  
...  
Keyword(s):  
Frailty Index ◽  
Postoperative Outcomes ◽  
Predictive Tool ◽  
Modified Frailty Index

Frailty: A major consideration for short- and long-term outcomes in resected pancreatic cancer.

2017 ◽  
Vol 35 (4_suppl) ◽  
pp. 418-418
Author(s):  
Ioannis Konstantinidis ◽  
Aaron G Lewis ◽  
Federrico Tozzi ◽  
Philip HG Ituarte ◽  
Susanne Warner ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Frailty Index ◽  
Postoperative Mortality ◽  
Postoperative Outcome ◽  
Postoperative Outcomes ◽  
Improvement Program ◽  
California Cancer Registry ◽  
Modified Frailty Index ◽  
Comorbidity Index ◽  
Short And Long Term

418 Background: Frailty has been associated with adverse postoperative outcomes. However, little is known about its correlation with survival in resected pancreatic cancer. This study examined the correlation of frailty with postoperative outcomes and survival after pancreatectomy for cancer. Methods: Data from National Surgical Quality Improvement Program (NSQIP) patients (n = 7400) who underwent pancreatectomy between 2011 to 2013. A modified frailty index (mFI) validated for use in NSQIP was used to examine correlations between frailty and postoperative outcomes. California Cancer Registry (CCR) data for patients (n = 4959) who underwent pancreatectomy for cancer between 2000 to 2012 was used to assess the association between the Charlson Comorbidity Index (CCI), as a surrogate for frailty, and overall survival. Results: The distribution of NSQIP patients according to the mFI was 0, 1, 2, 3, 4 in 2797 (37.8%), 3422 (46.2), 1074 (14.5), 104 (1.4) and 3 (0.04) respectively. The patients were divided to non frail (mFI = 0), mildly frail (mFI = 1-2), or severely frail (mFI3 ≥ 3). Overall, 8.7% of patients experienced a grade 4 Clavien complication and 3.1% experienced postoperative mortality. Worsening frailty correlated with an increase in grade 4 Clavien complications (non-frail: 6.3% vs. mildly frail: 9.7% vs. severely frail: 26.2%; p < 0.001) and mortality (1.9% vs. 3.8% vs. 4.7% respectively; p < 0.001). The majority of CCR patients had similarly few comorbidities: CCI: 0, 1, ≥ 2 in 3869 (77.8%), 861 (17.31%) and 243 (4.89%) respectively. Median survival decreased as CCI increased (for CCI 0, 1 and ≥ 2 was 23 vs. 19 vs. 15 months respectively; p < 0.001). Conclusions: Frailty is a powerful correlate of postoperative outcome and survival for resected pancreatic cancer patients and is an important consideration in planning for surgical intervention.

The 5-Factor Modified Frailty Index in the Geriatric Surgical Population

2020 ◽  
pp. 000313482095243
Author(s):  
Sneha Subramaniam ◽  
Jeffrey J. Aalberg ◽  
Rainier P. Soriano ◽  
Celia M. Divino
Keyword(s):  
Predictive Value ◽  
Frailty Index ◽  
Correlation Coefficients ◽  
Predictive Ability ◽  
Improvement Program ◽  
Geriatric Population ◽  
Predictive Values ◽  
Mortality And Morbidity ◽  
Modified Frailty Index ◽  
Factor Index

Background The modified frailty index (mFI-11) is a National Surgical Quality Improvement Program (NSQIP)–based 11-factor index that has been proven to adequately reflect frailty and predict mortality and morbidity. In the past years, certain NSQIP variables have been removed from the database; as of 2015, only 5 out of the original 11 factors remain. While the predictive power and usefulness of this 5-factor index (mFI-5) has been proven in previous work, it has yet to be studied in the geriatrics population. The goal of our study was to compare the mFI-5 to the mFI-11 in terms of value and predictive ability for mortality, postoperative infection, and unplanned 30-day readmission for patients aged 65 years and older. Methods Spearman’s Rho was calculated to compare the value, and unadjusted and adjusted logistic regressions were created for three outcomes in nine surgical subspecialties. Correlation coefficients were above .86 across all surgical specialties except for cardiac surgery. Adjusted and unadjusted models showed similar C-statistics for mFI-5 and 11. Results Overall predictive values of geriatric mFI-5 and mFI-11 were lower than those for the general population but still had effective predictive value for mortality and post-operative complications (C-Stat ≥ .7) and weak predictive value for 30-day readmission. Conclusions The mFI-5 is an equally effective predictor as the mFI-11 in all subspecialties and an effective predictor of mortality and postoperative complication in the geriatric population. This index has credibility for future use to study frailty within NSQIP, within other databases, and for clinical assessment and use.

scholarly journals The 5-factor modified frailty index: an effective predictor of mortality in brain tumor patients

2020 ◽  
pp. 1-9 ◽  
Author(s):  
Adham M. Khalafallah ◽  
Sakibul Huq ◽  
Adrian E. Jimenez ◽  
Henry Brem ◽  
Debraj Mukherjee
Keyword(s):  
Brain Tumor ◽  
Frailty Index ◽  
Postoperative Mortality ◽  
Roc Curves ◽  
Study Cohort ◽  
Tumor Surgery ◽  
Brain Tumor Surgery ◽  
Tumor Patients ◽  
Significant Difference ◽  
Modified Frailty Index

OBJECTIVEHealth measures such as the Charlson Comorbidity Index (CCI) and the 11-factor modified frailty index (mFI-11) have been employed to predict general medical and surgical mortality, but their clinical utility is limited by the requirement for a large number of data points, some of which overlap or require data that may be unavailable in large datasets. A more streamlined 5-factor modified frailty index (mFI-5) was recently developed to overcome these barriers, but it has not been widely tested in neuro-oncology patient populations. The authors compared the utility of the mFI-5 to that of the CCI and the mFI-11 in predicting postoperative mortality in brain tumor patients.METHODSThe authors retrospectively reviewed a cohort of adult patients from a single institution who underwent brain tumor surgery during the period from January 2017 to December 2018. Logistic regression models were used to quantify the associations between health measure scores and postoperative mortality after adjusting for patient age, race, ethnicity, sex, marital status, and diagnosis. Results were considered statistically significant at p values ≤ 0.05. Receiver operating characteristic (ROC) curves were used to examine the relationships between CCI, mFI-11, and mFI-5 and mortality, and DeLong’s test was used to test for significant differences between c-statistics. Spearman’s rho was used to quantify correlations between indices.RESULTSThe study cohort included 1692 patients (mean age 55.5 years; mean CCI, mFI-11, and mFI-5 scores 2.49, 1.05, and 0.80, respectively). Each 1-point increase in mFI-11 (OR 4.19, p = 0.0043) and mFI-5 (OR 2.56, p = 0.018) scores independently predicted greater odds of 90-day postoperative mortality. Adjusted CCI, mFI-11, and mFI-5 ROC curves demonstrated c-statistics of 0.86 (CI 0.82–0.90), 0.87 (CI 0.83–0.91), and 0.87 (CI 0.83–0.91), respectively, and there was no significant difference between the c-statistics of the adjusted CCI and the adjusted mFI-5 models (p = 0.089) or between the adjusted mFI-11 and the adjusted mFI-5 models (p = 0.82). The 3 indices were well correlated (p < 0.01).CONCLUSIONSThe adjusted mFI-5 model predicts 90-day postoperative mortality among brain tumor patients as well as our adjusted CCI and adjusted mFI-11 models. The simplified mFI-5 may be easily integrated into clinical workflows to predict brain tumor surgery outcomes in real time.

scholarly journals Frailty predicts outcome of partial nephrectomy and guides treatment decision towards active surveillance and tumor ablation

2021 ◽  
Author(s):  
M. T. Walach ◽  
M. F. Wunderle ◽  
N. Haertel ◽  
J. K. Mühlbauer ◽  
K. F. Kowalewski ◽  
...  
Keyword(s):  
Active Surveillance ◽  
Surgical Outcome ◽  
Frailty Index ◽  
Treatment Decision ◽  
Solitary Kidney ◽  
Tumor Ablation ◽  
Renal Masses ◽  
Skeletal Muscle Index ◽  
Decision Tools ◽  
Modified Frailty Index

Abstract Purpose To examine frailty and comorbidity as predictors of outcome of nephron sparing surgery (NSS) and as decision tools for identifying candidates for active surveillance (AS) or tumor ablation (TA). Methods Frailty and comorbidity were assessed using the modified frailty index of the Canadian Study of Health and Aging (11-CSHA) and the age-adjusted Charlson-Comorbidity Index (aaCCI) as well as albumin and the radiological skeletal-muscle-index (SMI) in a cohort of n = 447 patients with localized renal masses. Renal tumor anatomy was classified according to the RENAL nephrometry system. Regression analyses were performed to assess predictors of surgical outcome of patients undergoing NSS as well as to identify possible influencing factors of patients undergoing alternative therapies (AS/TA). Results Overall 409 patient underwent NSS while 38 received AS or TA. Patients undergoing TA/AS were more likely to be frail or comorbid compared to patients undergoing NSS (aaCCI: p < 0.001, 11-CSHA: p < 0.001). Gender and tumor complexity did not vary between patients of different treatment approach. 11-CSHA and aaCCI were identified as independent predictors of major postoperative complications (11-CSHA ≥ 0.27: OR = 3.6, p = 0.001) and hospital re-admission (aaCCI ≥ 6: OR = 4.93, p = 0.003) in the NSS cohort. No impact was found for albumin levels and SMI. An aaCCI > 6 and/or 11-CSHA ≥ 0.27 (OR = 9.19, p < 0.001), a solitary kidney (OR = 5.43, p = 0.005) and hypoalbuminemia (OR = 4.6, p = 0.009), but not tumor complexity, were decisive factors to undergo AS or TA rather than NSS. Conclusion In patients with localized renal masses, frailty and comorbidity indices can be useful to predict surgical outcome and support decision-making towards AS or TA.

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