Gout and chronic pain in older adults: a Medicare claims study

Jasvinder A Singh1,2,3, John D Cleveland4

  • 1Medicine Service, VA Medical Center, 700 19th St S, Birmingham, AL, 35233, USA. Jasvinder.md@gmail.com.

Clinical Rheumatology
|March 31, 2019
PubMed

Insights

Gout significantly increases the risk of developing chronic pain by twofold. Effective gout treatments, such as allopurinol and febuxostat, are associated with a reduced risk of chronic pain.

Area of Science:

  • Rheumatology
  • Pain Medicine
  • Epidemiology

Background:

  • Gout is a common inflammatory arthritis characterized by hyperuricemia.
  • Chronic pain is a significant health concern with multifactorial causes.
  • The association between gout and the development of chronic pain requires further investigation.

Purpose of the Study:

  • To assess the association between a pre-existing diagnosis of gout and the risk of incident chronic pain.
  • To evaluate the impact of gout treatments on the risk of developing chronic pain.

Main Methods:

  • Retrospective cohort study using Medicare claims data from 2006-2012.
  • Multivariable-adjusted Cox regression analyses were employed to examine the association.
  • Adjustments were made for demographics, medical comorbidities, and common medication use.

Main Results:

  • Gout was associated with a twofold higher hazard ratio for incident chronic pain (HR 2.02; 95% CI, 1.98-2.05).
  • Sensitivity analyses confirmed this association, with hazard ratios ranging from 1.77 to 1.96.
  • Use of allopurinol or febuxostat was linked to a reduced risk of chronic pain (HR 0.79 and 0.72, respectively).

Conclusions:

  • Gout is a significant risk factor for developing chronic pain.
  • Optimizing gout control and early treatment of gout may help prevent chronic pain.
  • Gout treatments demonstrated a protective effect against the development of chronic pain.

Related Concept Videos

Testing a Claim about Mean: Known Population SD01:11

Testing a Claim about Mean: Known Population SD

A complete procedure of testing the hypothesis about a population mean is explained here.
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
3.2K
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
3.9K
Testing a Claim about Standard Deviation01:19

Testing a Claim about Standard Deviation

A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
2.9K
Testing a Claim about Mean: Unknown Population SD01:21

Testing a Claim about Mean: Unknown Population SD

A complete procedure of testing a hypothesis about a population mean when the population standard deviation is unknown is explained here.
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...
5.7K
Pain01:20

Pain

Pain serves as a critical warning signal that alerts the body to potential or actual harm. When mechanical pressure on the skin is intense, such as from a sharp pinch, the sensation transitions from touch to pain. Similarly, extreme temperatures, like a hot pot handle, convert the sensation of heat into pain. Pain can also result from overstimulation of other senses, such as blinding light, loud noise, or the intense heat from habañero peppers. This ability to sense pain is essential for...
1.3K
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies01:27

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies

Assessing and diagnosing Chronic Obstructive Pulmonary Disease (COPD) involves a detailed approach that includes a comprehensive review of medical history, physical examination, and a variety of diagnostic tests. This thorough evaluation is essential to ensure an accurate diagnosis and guide effective management strategies.
Medical History
3.1K