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A Clinical Prediction Model for Selective NT-proBNP Testing in Hypertension.

A Clinical Prediction Model for Selective NT-proBNP Testing in Hypertension.

期刊: Journal of clinical hypertension (Greenwich, Conn.) 日期: 2026-06-01 PMID: 42317108 DOI: 10.1111/jch.70310 浏览: 36
作者: Cai A, Liu L, Yu X, Wu D, Lin X, Luo S, Liu K
A, C., L, L., X, Y., D, W., X, L., S, L., & K, L. (2026). A Clinical Prediction Model for Selective NT-proBNP Testing in Hypertension.. Journal of clinical hypertension (Greenwich, Conn.). https://doi.org/10.1111/jch.70310
A C, L L, X Y, D W, X L, S L, et al. A Clinical Prediction Model for Selective NT-proBNP Testing in Hypertension.. Journal of clinical hypertension (Greenwich, Conn.). 2026; doi: 10.1111/jch.70310
A C, L L, X Y, et al. A Clinical Prediction Model for Selective NT-proBNP Testing in Hypertension.[J]. Journal of clinical hypertension (Greenwich, Conn.). 2026. DOI: 10.1111/jch.70310.
@article{a2026,
  author = {Cai A and Liu L and Yu X and Wu D and Lin X and Luo S and Liu K},
  title = {A Clinical Prediction Model for Selective NT-proBNP Testing in Hypertension.},
  journal = {Journal of clinical hypertension (Greenwich, Conn.)},
  year = {2026},
  doi = {10.1111/jch.70310},
  note = {PMID: 42317108},
}
TY  - JOUR
AU  - Cai A
AU  - Liu L
AU  - Yu X
AU  - Wu D
AU  - Lin X
AU  - Luo S
AU  - Liu K
TI  - A Clinical Prediction Model for Selective NT-proBNP Testing in Hypertension.
T2  - Journal of clinical hypertension (Greenwich, Conn.)
PY  - 2026
DO  - 10.1111/jch.70310
AN  - PMID:42317108
ER  - 

摘要

N-terminal pro-B-type natriuretic peptide (NT-proBNP) testing is recommended for pre-heart failure (pre-HF) screening. However, universal NT-proBNP testing is infeasible and inefficient. We analyzed data from 4642 U.S. adults with hypertension in NHANES 1999-2004. Heart stress, a biomarker-defined pre-HF state, was defined using age-specific NT-proBNP cutoffs. Multivariable logistic regression was used to identify factors associated with prevalent heart stress, and a point-based score was constructed. Model discrimination and calibration were internally validated using 1000 bootstrapped samples. Heart stress was present in 31% of individuals with hypertension. Factors associated with heart stress included older age, current smoking, prior coronary heart disease/myocardial infarction, higher systolic blood pressure, lower diastolic blood pressure, and reduced estimated glomerular filtration rate. The derivation model showed acceptable discrimination (AUC 0.71; 95% CI 0.70-0.73) and good calibration. An optimal cutoff of 6 points was identified using the Youden index and was internally validated (AUC 0.71; 95% CI 0.69-0.74). Model performance was consistent across race/ethnicity and body mass index subgroups, with relatively lower discrimination in females than in males (AUC 0.66 vs. 0.78). When stratified by a predicted heart stress probability threshold of 50%, individuals in the higher-probability group had higher cumulative risk of all-cause (hazard ratio 3.90; 95% CI 3.55-4.29) and cardiovascular mortality (hazard ratio 5.18; 95% CI 4.44-6.04) than those in the lower-probability group. These findings suggest that a simple model using readily obtainable clinical variables can help identify individuals with hypertension who are likely to have prevalent heart stress, offering a practical strategy to guide selective NT-proBNP testing.

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