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In This Article

  • Summary
  • Abstract
  • Introduction
  • Protocol
  • Representative Results
  • Discussion
  • Disclosures
  • Acknowledgements
  • Materials
  • References
  • Reprints and Permissions

Summary

Here, we present a protocol to assess glycemic control using capillary blood glucose (CBG) and glycated hemoglobin A1C (HbA1C) levels. This study investigates the impact of hyperglycemia on knee osteoarthritis (KOA) symptoms, physical performance, physical activity level, radiographic severity, and inflammation in older adults with diabetes.

Abstract

This study explores hyperglycemia's influence on knee osteoarthritis (KOA) related symptoms, physical performance, physical activity level, radiographic severity, and inflammation in older adults. Prolonged hyperglycemic states contribute to advanced glycation end-product (AGE) formation, which worsens KOA symptoms. Capillary blood glucose (CBG) and glycated hemoglobin A1C (HbA1C) levels are commonly used in laboratory tests for glycemic assessment, offering distinct advantages and limitations. Participants were divided into good and poor glycemic control groups based on their CBG and HbA1C levels. KOA clinical severity and physical activity were measured using the knee injury and osteoarthritis outcome score (KOOS) and international physical activity questionnaire. Physical performance was measured with hand grip strength, gait speed, time-up-and-go (TUG), and 5 times sit-to-stand (5STST). Knee X-rays were performed, and serum enzyme-linked immunosorbent assay (ELISA) analysis was conducted for IL-1β, IL-4, CRP, NF-κB, and AGE. Three hundred recruited participants (mean age [SD] = 66.40 years (5.938) with CBG, of fasting blood sugar > 7.0 mmol/L and random blood sugar > 11.1 mmol/L, (N = 254) were compared with KOOS pain (p=0.008) and symptoms (p=0.017) and 5STST (p=0.015); while HbA1c > 6.3% (N = 93) was compared with 5STST (p=0.002), and AGEs (p=0.022) based on Mann Whitney U test. Logistic regression revealed significant associations between glycemic control and lower limb muscle strength, radiological severity, laboratory markers, and between glycemic status and KOOS pain and symptoms. However, these associations did not remain significant after adjusting for BMI. Poor glycemic status alone was associated with better function in sport and recreation domains after antidiabetic medication adjustment, suggesting anti-inflammatory and analgesic effects that masked the effect of high blood sugar. Future studies could explore the predictive ability of glycemic assessment for poor knee function and physical performance while accounting for the effects of the medication.

Introduction

Knee osteoarthritis (KOA) increases in prevalence with age, with the knee being a major weight-bearing joint1. KOA usually manifests with stiffness and chronic pain at the knee joint, which limits mobility, reduces quality of life, and increases the risk of cardiovascular disease2. Diabetes mellitus, which is also related to age, contributes to the risk of KOA development, as elevated glucose and lipids levels promote advanced glycation end product (AGE) formation, leading to chronic joint inflammation and cartilage degeneration3. Despite the availability of healthcare services, two in five Malays....

Protocol

The study protocol was in compliance with the Declaration of Helsinki and was approved by the Universiti Kebangsaan Malaysia Ethics Committee (reference number: JEP-2022-001).

1. Participant recruitment

  1. Through convenience sampling, select the study population from community-dwelling adults with KOA aged 50 years and above in Kuala Lumpur and Selangor. Recruited participants from senior citizens' organizations and diabetes and orthopedic clinics.
    NOTE: The presence of KOA is defined with self-reported physician-diagnosed KOA or those in fulfillment of the American College of Rheumatology (ACR) clinica....

Representative Results

Participants' characteristics
Table 1 summarizes participants' characteristics according to glycemic status with FPBS and HbA1c. Figure 1 illustrates the total number of participants included at each stage based on variable inclusion criteria. From the total of 300 recruited participants, capillary blood glucose sampling was obtained from 254 individuals for FPBS, while venous blood sampling was obtained from 93 for HbA1c. Of the 254 capil.......

Discussion

Venous blood collection is often preferred for laboratory tests over capillary blood sampling in terms of accuracy of results29. The HbA1c is strongly associated with diabetes complications, stable chemical nature and well-standardized laboratory tests. As the HbA1c reflects glycemic control over 3 months it does not require fasting samples, while one-time capillary blood sampling could reflect one-point glycemic status, which is influenced by the timing and the contents of recent meals. Both glyc.......

Disclosures

All authors have no conflict of interest to declare.

Acknowledgements

This study was funded by the Fundamental Research Grant Scheme, Ministry of Higher Education, Malaysia, Grant/Award Number: FRGS/1/2021/SKK0/UKM/02/15.

....

Materials

NameCompanyCatalog NumberComments
Butterfly needleBD Vacutainer367282
G*Power 3.1Heinrich-Heine-Universityhttps://www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpowerHeinrich-Heine-University, Düsseldorf
Glucometer and test stripsContour plushttps://www.diabetes.ascensia.my/en/products/contour-plus/Basel, Switzerland
Human CRP(C-Reactive Protein) ELISA KitElabscienceE-EL-H0043-96TELISA kit
Human IL-1β(Interleukin 1 Beta) ELISA Kit ElabscienceE-EL-H0149-96TELISA kit
Human IL-4(Interleukin 4) ELISA KitElabscienceE-EL-H0101-96TELISA kit
Human NF-κB-p105 subunitBioassay Technology LaboratoryE0003HuELISA kit
Human NF-κBp105(Nuclear factor NF-kappa-B p105 subunit)ElabscienceE-EL-H1386-96TELISA kit
Manual hand dynamometerJamar5030J1Warrenville, Illinois, USA
Portable Body Composition AnalyzerInBody ASIAhttps://inbodyasia.com/products/inbody-270/Inbody 270, Cheonan, Chungcheongnam-do
Portable stadiometerSeca213 1821 009SECA 213, Hamburg, Germany

References

  1. Allen, K. D., Thoma, L. M., Golightly, Y. M. Epidemiology of osteoarthritis. Osteoarthritis Cartilage. 30 (2), 184-195 (2022).
  2. Mat, S., et al. Factors influencing quality of life among older persons living wit....

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