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Social factors may impact survival in AML


 

Patient receiving chemotherapy

Photo by Rhoda Baer

A new study indicates that certain social factors may impact survival in adults with acute myelogenous leukemia (AML) who are under 65.

The research showed associations between patient survival and insurance status, marital status, and county-level income.

“We believe these 3 factors indicate lack of material and social support preventing young patients from successfully walking the long and difficult road towards a cure,” said Uma Borate, MD, of the University of Alabama at Birmingham.

To conduct this study, Dr Borate and her colleagues analyzed data on 5541 patients, ages 19 to 64, who were diagnosed with AML between 2007 and 2011.

The team reported their findings in Cancer.

Multivariable analysis showed that AML subtype, age, and sex were independently associated with patients’ survival. And the non-biological factors independently associated with survival were insurance status, marital status, and county-level median household income.

Specifically, there was a significantly increased risk of premature death among patients who were uninsured (P=0.005) or Medicaid beneficiaries (P<0.001), compared to patients with private insurance.

Single (P<0.001) or divorced (P=0.011) patients had a significantly higher risk of premature death than married patients. But there was no significant difference between married and widowed patients (P=0.206).

And patients who lived in areas with lower income—the lowest 3 of 5 income groups—had a significantly increased risk of premature death.

Compared to patients in the fifth income quintile ($58.3K-$79.9K), there was an increased risk of death in the first quintile ($16.2K-$38.8K, P=0.001), second quintile ($38.8K-$42.2K, P<0.001), and third quintile ($42.2K-$47.9K, P<0.001).

Early and late mortality

The researchers wanted to determine if the impact of non-biological factors on survival was related to early mortality (a possible surrogate for access to care or late presentation) or late mortality (a possible surrogate for access to post-remission therapy and hematopoietic stem cell transplant).

So they conducted an exploratory analysis of factors influencing the risk of death within the first 2 months of diagnosis.

Being a Medicaid beneficiary (P=0.01) or uninsured (P<0.001) was independently associated with an increased risk of death within the first 2 months.

The same was true for patients belonging to the first income quartile (P=0.001), second quartile (P=0.003), third quartile (P=0.02), and fourth quartile (P=0.028).

On the other hand, there was no significant difference in early death according to marital status.

The researchers also performed a landmark survival analysis including only patients who survived at least 2 months from diagnosis.

In this analysis, marital status (P<0.001), insurance status (P=0.001), and income (P=0.021) were all independent predictors of survival.

Implications

“As physicians, we often emphasize more of the biology of the cancer, especially with the recent focus on personalized medicine,” said study author Luciano Jose Costa, MD, PhD, also of the University of Alabama at Birmingham.

“But we need to pay the same attention to resources available to our patients, as this greatly impacts their chances to survive leukemia.”

The researchers believe this will be especially important as the US transitions to a healthcare system that ties physician and hospital payments to patient outcomes.

“Taking from the results of this study, factors that have nothing to do with quality of care need to be accounted for when comparing predicted with actual outcomes,” Dr Borate said. “Otherwise, we will create a disincentive for hospitals and doctors to care for less privileged patients.”

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