Screening for suspected coronary heart disease in patients, using integrated serum biochemical indices
Lei Feng1, Chunfang Zhang2, Shiyan Nian3
1Department of Laboratory, People's Hospital of Yuxi City, Yuxi, Yunnan Province, China.
Insights
Integrated serum biochemical indices can effectively screen for coronary heart disease (CHD). This study developed and validated models for males and females, showing high accuracy in identifying individuals with suspected CHD.
Area of Science:
- Cardiology
- Biochemistry
- Preventive Medicine
Background:
- Coronary heart disease (CHD) is a significant health concern.
- Numerous serum biochemical markers are linked to CHD.
- The utility of integrated serum biochemical indices for CHD screening remains underexplored.
Purpose of the Study:
- To develop and validate screening models for coronary heart disease (CHD) using integrated serum biochemical indices.
- To assess the performance of these models in both males and females.
Main Methods:
- Recruited 627 healthy controls and 1049 CHD patients for model development.
- Employed unconditional logistic regression for model creation.
- Validated models externally on a separate population (190 controls, 246 CHD patients).
Main Results:
- Identified key biochemical indices and demographic factors for CHD detection in males and females.
- Achieved high areas under the receiver operating characteristic (ROC) curves (AUCs) for both genders in the initial cohort (0.958 for males, 0.986 for females).
- Demonstrated strong external validation AUCs (0.907 for males, 0.992 for females).
Conclusions:
- Integrated serum biochemical indices show significant potential for screening suspected coronary heart disease (CHD).
- The developed models are accurate and reliable for both male and female populations.
- These findings support the use of comprehensive biochemical profiling in CHD risk assessment.
Background:
Many serum biochemical indices have been found to be associated with coronary heart disease (CHD); however, few studies have evaluated the value on screening CHD of the integrated serum biochemical indices.
Methods:
In this study, 627 healthy controls and 1049 patients with CHD were recruited to develop CHD screening models for males and females using unconditional logistic regression. The performance of the screening models was evaluated by areas under the receiver operating characteristic (ROC) curves (AUCs), and externally validated in another population comprised of 190 healthy controls and 246 patients with CHD.
Results:
Backward stepwise variable selection showed that increasing age, total cholesterol (TC), logarithm-transformed homocysteine (lnHCY), logarithm-transformed γ-glutamyl transpeptidase (lnGGT), and decreasing uric acid, logarithm-transformed triglyceride, apolipoprotein A (apoA) and apolipoprotein B (apoB), increased the detection of CHD in males. In comparison, increasing age, TC, lnHCY, lnGGT and high-density lipoprotein cholesterol versus low-density lipoprotein cholesterol, and decreasing apoA, apoB, logarithm transformed lipoprotein (A) and logarithm transformed total bilirubin, increased the detection of CHD in females. The AUCs for the screening models for males and females were 0.958 (95% CI 0.946 to 0.969) and 0.986 (95% CI 0.977 to 0.994), respectively. The performance of the screening models was further evaluated in external validation samples, the AUCs for males and females were 0.907 and 0.992, respectively.
Conclusions:
Our study suggests that integrated serum biochemical indices may be used to screen for suspected CHD in participants.
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