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1.
Medicine (Baltimore) ; 103(21): e38124, 2024 May 24.
Artículo en Inglés | MEDLINE | ID: mdl-38788006

RESUMEN

Acute kidney injury (AKI) is a common postoperative complication, but there is still a lack of accurate biomarkers. Cardiac surgery-associated AKI is the most common cause of major-surgery-related AKI, and patients requiring renal replacement therapy have high mortality rates. Early diagnosis, intervention, and management are crucial for improving patient prognosis. However, diagnosing AKI based solely on changes in serum creatinine level and urine output is insufficient, as these changes often lag behind actual kidney damage, making early detection challenging. Biomarkers such as tissue inhibitor of metalloproteinases-2 (TIMP-2) and insulin-like growth factor-binding protein-7 (IGFBP-7) have been found to be significant predictors of moderate-to-severe AKI when combined with urine content analysis. This article reviews the mechanism of biomarkers TIMP-2 and IGFBP-7 in AKI and provides a comprehensive overview of the clinical effects of TIMP-2 and IGFBP-7 in cardiac surgery-associated AKI, including prediction, diagnosis, and progression.


Asunto(s)
Lesión Renal Aguda , Biomarcadores , Procedimientos Quirúrgicos Cardíacos , Proteínas de Unión a Factor de Crecimiento Similar a la Insulina , Complicaciones Posoperatorias , Inhibidor Tisular de Metaloproteinasa-2 , Humanos , Inhibidor Tisular de Metaloproteinasa-2/sangre , Inhibidor Tisular de Metaloproteinasa-2/orina , Lesión Renal Aguda/etiología , Lesión Renal Aguda/diagnóstico , Lesión Renal Aguda/sangre , Proteínas de Unión a Factor de Crecimiento Similar a la Insulina/sangre , Proteínas de Unión a Factor de Crecimiento Similar a la Insulina/orina , Procedimientos Quirúrgicos Cardíacos/efectos adversos , Biomarcadores/sangre , Complicaciones Posoperatorias/etiología , Complicaciones Posoperatorias/diagnóstico , Pronóstico
2.
Front Neurol ; 15: 1423569, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-39131045

RESUMEN

Background: Previous observational clinical studies and meta-analyses have yielded inconsistent results regarding the relationship between vitamin D and headache, and the causal relationship remains unclear. The aim of this study was to investigate the causal relationship between vitamin D and headache by bidirectional two-sample Mendelian randomisation (MR) analysis. Methods: The relationship between high levels of vitamin D and headache was investigated by two-sample MR analysis using publicly available genome-wide association study (GWAS) data. The primary method was inverse variance weighting (IVW), and secondary methods were weighted median and MR-Egger methods. No heterogeneity or horizontal multidirectionality was found in the MR results. The robustness and validity of the findings were assessed using the leave-behind method. Results: A significant causal relationship was found between high vitamin D levels and headache using the IVW method (OR = 0.848; p = 0.007; 95% CI = 0.752-0.956). However, in a reverse analysis, no evidence of a causal relationship between headache and high levels of vitamin D was found using the IVW method (OR = 1.001; p = 0.906; 95% CI = 0.994-1.006). Our MR analyses showed no significant horizontal multidimensionality or heterogeneity (p > 0.05). Sensitivity analyses confirmed that MR estimates were not affected by single nucleotide polymorphisms (SNPs). Confirmation that our results are robust and valid has been obtained by the leave-one-out method. Conclusion: Our study suggests that high levels of vitamin D prevent the risk of headache. However, there is no evidence of a causal relationship between headache and high levels of vitamin D. Vitamin D may reduce the risk of headache.

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