1
|
Yan J, Li S. Evaluating the lipid accumulation product index as a predictor for kidney stone prevalence: insights from NHANES 2007-2018. Int Urol Nephrol 2024; 56:3639-3645. [PMID: 38869668 DOI: 10.1007/s11255-024-04112-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 06/05/2024] [Indexed: 06/14/2024]
Abstract
PURPOSE This study aimed to explore the relationship between the lipid accumulation product (LAP) index and kidney stone prevalence, utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 2007 to 2018. METHODS An observational study was executed employing the NHANES dataset from 2007 to 2018. Analytical methods encompassed multivariate logistic regression, restricted cubic splines (RCS), subgroup analysis, and interaction tests. Predictions were made using the receiver operating characteristic (ROC) curve and the area under the curve (AUC) values. RESULTS The analysis included 9744 adults aged 20 years and older. Multivariate logistic regression identified a significant positive association between log2-transformed LAP (treated as a continuous variable) and kidney stone risk across all models, with odds ratios (ORs) exceeding 1 and p values less than 0.001. Categorically, ORs escalated with increasing LAP levels, indicating a dose-response relationship. The RCS analysis confirmed a linear positive correlation between log2-transformed LAP and kidney stone risk. Subgroup analyses revealed that the log2-transformed LAP-kidney stones relationship was consistent, unaffected by stratification across the examined variables. In addition, LAP index (AUC = 0.600) proved to be a more effective predictor of kidney stones compared to body mass index (AUC = 0.584). CONCLUSION Elevated LAP levels are positively correlated with a higher incidence of kidney stones, signifying its potential as a risk marker for this condition. Future research should investigate the mechanisms underlying this relationship. LAP can be used as a new anthropometric index to predict kidney stones, and its predictive ability is stronger than body mass index.
Collapse
Affiliation(s)
- Ji Yan
- The Second School of Medicine, Wenzhou Medical University, Wenzhou, China
| | - Sen Li
- School of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, China.
| |
Collapse
|
2
|
Wei X, Chen H, You Z, Yang J, He H, He C, Zheng W, Lin K, Jiang F. Nutritional status and risk of contrast-associated acute kidney injury in elderly patients undergoing percutaneous coronary intervention. Clin Exp Nephrol 2021; 25:953-962. [PMID: 33844109 PMCID: PMC8357678 DOI: 10.1007/s10157-021-02061-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Accepted: 04/02/2021] [Indexed: 12/14/2022]
Abstract
Background This study aimed to investigate the connection between malnutrition evaluated by the Controlling Nutritional Status (CONUT) score and the risk of contrast-associated acute kidney injury (CA-AKI) in elderly patients who underwent percutaneous coronary intervention (PCI). Methods A total of 1308 patients aged over 75 years undergoing PCI was included. Based on the CONUT score, patients were assigned to normal (0–1), mild malnutrition (2–4), moderate-severe malnutrition group (≥ 5). The primary outcome was CA-AKI (an absolute increase in ≥ 0.3 mg/dL or ≥ 50% relative serum creatinine increase 48 h after contrast medium exposure). Results Overall, the incidence of CA-AKI in normal, mild, moderate-severe malnutrition group was 10.8%, 11.0%, and 27.2%, respectively (p < 0.01). Compared with moderate-severe malnutrition group, the normal group and the mild malnutrition group showed significant lower risk of CA-AKI in models adjusting for risk factors for CA-AKI and variables in univariate analysis (odds ratio [OR] = 0.48, 95% confidence interval [CI]: 0.26–0.89, p = 0.02; OR = 0.46, 95%CI: 0.26–0.82, p = 0.009, respectively). Furthermore, the relationship were consistent across the subgroups classified by risk factors for CA-AKI except anemia. The risk of CA-AKI related with CONUT score was stronger in patients with anemia. (overall interaction p by CONUT score = 0.012). Conclusion Moderate-severe malnutrition is associated with higher risk of CA-AKI in elderly patients undergoing PCI. Supplementary Information The online version contains supplementary material available at 10.1007/s10157-021-02061-4.
Collapse
Affiliation(s)
- Xiaoqi Wei
- Department of Geriatric Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fujian Key Laboratory of Geriatrics, Fujian Provincial Center for Geriatrics, Fuzhou, 350001, Fujian, China
| | - Hanchuan Chen
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Key Laboratory of Cardiovascular Disease, Fuzhou, 350001, Fujian, China
| | - Zhebin You
- Department of Geriatric Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fujian Key Laboratory of Geriatrics, Fujian Provincial Center for Geriatrics, Fuzhou, 350001, Fujian, China
| | - Jie Yang
- Department of Geriatric Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fujian Key Laboratory of Geriatrics, Fujian Provincial Center for Geriatrics, Fuzhou, 350001, Fujian, China
| | - Haoming He
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Key Laboratory of Cardiovascular Disease, Fuzhou, 350001, Fujian, China
| | - Chen He
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Key Laboratory of Cardiovascular Disease, Fuzhou, 350001, Fujian, China
| | - Weiping Zheng
- Department of Geriatric Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fujian Key Laboratory of Geriatrics, Fujian Provincial Center for Geriatrics, Fuzhou, 350001, Fujian, China
| | - Kaiyang Lin
- Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Key Laboratory of Cardiovascular Disease, Fuzhou, 350001, Fujian, China.
| | - Feng Jiang
- Department of Geriatric Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Institute of Clinical Geriatrics, Fujian Key Laboratory of Geriatrics, Fujian Provincial Center for Geriatrics, Fuzhou, 350001, Fujian, China.
| |
Collapse
|