CRP-Albumin-Lymphocyte index (CALLYI) as a risk-predicting biomarker in association with osteoarthritis
1Department of Orthopedic, Xi'an Central Hospital, No. 161, West 5th Road, Xincheng District, Xi'an, Shaanxi, China.
Insights
Higher C-reactive protein-Albumin-Lymphocyte Index (CALLYI) levels are associated with a reduced risk of osteoarthritis (OA). This study developed a predictive model for OA using CALLYI, demonstrating its clinical utility.
Area of Science:
- Biomarkers and disease prediction
- Osteoarthritis research
- Public health and nutrition
Background:
- The C-reactive protein-Albumin-Lymphocyte Index (CALLYI) is a novel biomarker.
- The association between CALLYI and osteoarthritis (OA) incidence is not well understood.
- Existing research lacks comprehensive evaluation of CALLYI's role in OA.
Purpose of the Study:
- To investigate the relationship between CALLYI and OA in US adults.
- To develop and validate a clinical prediction model for OA using CALLYI.
- To assess CALLYI as a potential biomarker for OA risk.
Main Methods:
- Analysis of 18,624 US adults from the National Health and Nutrition Examination Survey (NHANES) (1999-2010).
- Calculation of CALLYI (albumin * lymphocytes / CRP * 10).
- Construction of weighted multiple regression models, restricted cubic splines (RCS), LASSO, ROC, and DCA for correlation and prediction analysis.
Main Results:
- A significant nonlinear negative correlation was found between CALLYI and OA.
- Elevated CALLYI levels (Q4 vs. Q1) were associated with a 28% reduction in OA risk (OR=0.72).
- The developed OA prediction model incorporating CALLYI showed strong performance (AUC=0.825) and clinical significance.
Conclusions:
- CALLYI demonstrates a nonlinear negative association with OA risk.
- The CALLYI-based prediction model is effective and clinically useful for OA risk assessment.
- Further multicenter prospective studies are recommended to confirm findings and overcome cross-sectional design limitations.
Purpose:
As a novel biomarker, the C-reactive protein-Albumin-Lymphocyte Index (CALLYI) offers a comprehensive evaluation of the human body from three perspectives. However, the association between CALLYI and the incidence of osteoarthritis (OA) remains unclear. This cross-sectional study investigates the potential relationship between CALLYI and OA in US adults, develops a clinical prediction model, and validates its effectiveness.
Method:
The study cohort consisted of 18,624 U.S. adults who participated in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2010. The CALLYI was calculated using the formula: albumin * lymphocytes / CRP * 10. Three weighted multiple regression models were constructed to investigate the correlation between CALLYI and OA. Restricted cubic splines (RCS) were employed to evaluate the nonlinear relationship between these two variables. Subgroup analyses were conducted to examine interactions. Univariate logistic regression, binary logistic regression, and least absolute shrinkage and selection operator (LASSO) were utilized for variable selection in the prediction model. Decision curve analysis (DCA) and receiver operating characteristic (ROC) curve analysis were applied to assess the predictive performance of the models.
Results:
The total sample size analyzed in this study was 18,624, of which 1,977 (10.62%) were diagnosed with OA. And the mean value of CALLYI was 5.13 (2.12,12.86). The multivariate logistic regression model revealed a negative correlation between elevated CALLYI and OA. The fully adjusted Model 3 demonstrated a significant 28% reduction in OA risk in the Q4 compared to the Q1 of CALLYI (OR = 0.72 95% CI: 0.59-0.88, p = 0.001). Subgroup analyses did not reveal any significant interactions (p > 0.05). Additionally, a significant non-linear relationship between CALLYI and OA using RCS (p < 0.0001). After variable screening, we constructed an OA prediction model incorporating CALLYI, and the results were visualized using a nomogram. The area under the curve (AUC) was 0.825 (95% CI: 0.817-0.834), and DCA indicated that the model holds clinical significance.
Conclusion:
This study, utilizing NHANES statistics, is the first to establish a nonlinear negative relationship between CALLYI and OA, with no significant interaction observed in subgroup analyses. In the OA prediction model incorporating CALLYI, we validated the effectiveness and clinical utility of this model, providing evidence that CALLYI can serve as a biomarker for OA risk prediction. Nevertheless, larger multicenter prospective cohort studies are necessary to mitigate the limitations inherent in cross-sectional designs and self-reported OA diagnoses.
