Prevalence of methotrexate intolerance among patients with rheumatoid arthritis using the Arabic version of the

Jawza Albaqami1,2, Rawan Alshalhoub1, Haya Almalag1

  • 1Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.

Abstract

Insights

The Arabic Methotrexate Intolerance Severity Score (MISS) is a valid and reliable tool for identifying methotrexate intolerance in rheumatoid arthritis patients. This condition is common, affecting nearly 40% of patients in the study.

Area of Science:

  • Rheumatology
  • Clinical Pharmacology
  • Health Sciences

Background:

  • Methotrexate (MTX) is a primary treatment for rheumatoid arthritis (RA).
  • Adverse events associated with MTX can limit its efficacy.
  • The Methotrexate Intolerance Severity Score (MISS) aids in identifying MTX-related symptoms.

Purpose of the Study:

  • To translate and validate the MISS into the Arabic language.
  • To assess the prevalence of MTX intolerance in Arabic-speaking RA patients.

Main Methods:

  • The MISS underwent forward and backward translation by bilingual translators and review by rheumatologists.
  • 185 RA patients using MTX for at least 3 months were recruited from two Saudi Arabian tertiary care centers.
  • Internal consistency and stability were evaluated using Cronbach's alpha and test-retest methods, with a positive test defined as a score of ≥6.

Main Results:

  • 185 RA patients were included, with 85.4% being female. The mean age was 49.7 years.
  • 39.5% of patients (73/185) reported positive MISS results, indicating MTX intolerance.
  • The Arabic MISS demonstrated good internal consistency (Cronbach's alpha = 0.792) and reliability for factor analysis (KMO = 0.745).

Conclusions:

  • The Arabic version of the MISS is a valid and reliable instrument for detecting MTX intolerance in RA patients.
  • MTX intolerance is a significant issue among RA patients in the studied population.
  • Further research with larger cohorts is recommended to corroborate these findings.

Related Concept Videos

Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
1.6K
Introduction to z Scores01:06

Introduction to z Scores

A z score (or standardized value) is measured in units of the standard deviation. It tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
11.0K
Introduction to z Scores01:05

Introduction to z Scores

A z score (or standardized value) is measured in units of the standard deviation. It indicates how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
1.2K
z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
18.4K
z Scores and Unusual Values01:07

z Scores and Unusual Values

The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
 This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
11.0K
Punnett Squares01:00

Punnett Squares

Overview
125.3K