Clinical Review

2015 Update on cancer

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References

Uppal S, Igwe E, Rice L, Spencer R, Rose SL. Frailty index predicts severe complications in gynecologic oncology patients. Gynecol Oncol. 2015;137(1):98–101.

The National Comprehensive Cancer 
Network recommends that clinicians determine baseline life expectancy for older adults with cancer to aid in management decision making. The use of tools such as www.eprognosis.com, developed to determine anticipated life expectancy independent of cancer, can prove useful in determining a patient’s risk of dying or suffering from their cancer before dying of another cause.5

When it comes to the determination of risk related to a patient’s cancer diagnosis and selection of potential management options, many argue that the subgroup of elderly patients is not homogenous and that the use of age alone to guide management decisions may be unfair. Preoperative evaluation ideally should incorporate a global assessment of predictive risk factors.

Three assessment tools are 
especially useful

Huisman and colleagues set out to identify accurate preoperative assessment methods in elderly patients undergoing oncologic surgery. They prospectively recruited 328 patients aged 70 years or older and evaluated patients preoperatively using 11 well-known geriatric screening tools. They compared these evaluations with outcomes to determine which tools best predict the occurrence of major postoperative complications. They found the strongest correlation with outcomes when combining gender and type of surgery with the following 3 assessment tools:

  • Timed Up and Go (TUG)—a walking test to measure functional status
  • American Society of Anesthesiologists scale—a scoring system that quantifies preoperative physical status and estimates anesthetic risk
  • Nutritional Risk Screening—an assessment of nutritional risk based on recent weight loss, overall condition, and reduction of food intake.

All 3 are simple and short screening tools. When used together, they can provide clinicians with accurate risk estimations.

The findings of Huisman and colleagues reinforce the importance of a global assessment of the patient’s comorbidities, functional status, and nutritional status when determining candidacy for oncologic surgery.

Functional index predicts need 
for postoperative ICU care 
and risk of death

Uppal and colleagues set out to quantify the predictive value of the modified Functional Index (mFI) in assessing the need for postoperative critical care support and/or the risk of death within 30 days after gynecologic cancer surgery. The mFI can be calculated by adding 1 point for each variable listed in the TABLE, with a score of 4 or higher representing a high-frailty cohort.

TABLE. The 11-item modified functional index6

Calculate the score by assigning 1 point to every variable present. A score of 4 or higher is indicative of high risk.

  • COPD or recent pneumonia
  • Congestive heart failure
  • Myocardial infarction
  • PCI, prior cardiac surgery, or angina
  • Diabetes mellitus
  • Hypertension requiring medication
  • Peripheral vascular disease or ischemic 
rest pain
  • Impaired sensorium
  • Transient ischemic attack or cerebrovascular accident
  • Cerebrovascular accident with neurologic deficit
  • Functional status*

    Abbreviations: COPD, chronic obstructive pulmonary disease; PCI, percutaneous coronary intervention.
    *Measured in the 30 days prior to surgery.

    Of 6,551 patients who underwent gynecologic surgery, 188 were admitted to the intensive care unit (ICU) or died within 
30 days after surgery. The mFI was calculated, with multivariate analyses of additional variables. An mFI score of 3 or higher was predictive of the need for critical care support and the risk of 30-day mortality and was associated with a significantly higher number of complications (P<.001).

    Predictors significant for postoperative critical care support or death were:

    • preoperative albumin level less than 3 g/dL (odds ratio [OR] = 6.5)
    • operative time (OR = 1.003 per minute of increase)
    • nonlaparoscopic surgery (OR = 3.3)
    • mFI score, with a score of 0 serving as the reference (OR for a score of 1 = 1.26; score of 2 = 1.9; score of 3 = 2.33; and score of 4 or higher = 12.5).

    When they combined the mFI and albumin scores—both readily available in the preoperative setting—Uppal and colleagues were able to develop an algorithm to determine patients who were at “low risk” versus “high risk” for ICU admission and/or death postoperatively (FIGURE).

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    Bottom line

    Older patients are more commonly affected by multiple medical comorbidities, as well as functional, cognitive, and nutritional deficiencies, which contribute to their increased risk of morbidity and mortality after surgery. The elderly experience greater morbidity with noncardiac surgery in general.

    Clearly, the decision to operate on an elderly patient should be approached with caution, and a critical assessment of the patient’s risk factors should be performed to inform counseling about the patient’s management options. Future randomized prospective data will help us better understand the relationship between age and surgical outcomes.

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