RESUMEN
BACKGROUND: Acute kidney injury (AKI) is a common complication of traumatic hemorrhagic shock. The risk factors for AKI after traumatic hemorrhagic shock remain unclear. The aim of this study was to investigate the risk factors for AKI after traumatic hemorrhagic shock. METHODS: This was a ten-year retrospective cohort study of patients who experienced traumatic hemorrhagic shock between January 2013 and April 2023. Patient characteristics and clinical data were recorded for 417 patients. The outcome was the occurrence of AKI, defined as a serum creatinine increase of ≥ 0.3 mg/dL (≥ 26.5 µmol/L) within 48 h, or an increase to 1.5 times the baseline, or a urine volume of < 0.5 mL/(kg h.). Risk factors for AKI were tested by logistic regression models. RESULTS: The incidence of AKI after traumatic hemorrhagic shock was 29.3% (122/417 patients). Multivariable analysis revealed that the independent risk factors for AKI included age (OR, 1.048; 95% CI, 1.022-1.074; p < 0.001), B-type natriuretic peptide (OR, 1.002; 95% CI, 1.000-1.004; p = 0.041), sepsis (OR, 4.536; 95% CI, 1.651-12.462; p = 0.030) and acute myocardial injury (OR, 2.745; 95% CI, 1.027-7.342; p = 0.044). Road traffic accidents (OR, 0.202; 95% CI, 0.076-0.541; p = 0.001), mean arterial pressure (OR, 0.972; 95% CI, 0.950-0.995; p = 0.017), and base excess (OR, 0.842; 95% CI, 0.764-0.929; p = 0.001) were negatively correlated with AKI. The area under the receiver operating characteristic (ROC) curve for prediction by this model was 0.85 (95% CI, 0.81-0.90). CONCLUSION: The incidence of AKI after traumatic hemorrhagic shock was 29.3% in our series. Indicators of blood perfusion, sepsis and acute myocardial injury may be independent risk factors for AKI after traumatic hemorrhagic shock. Early detection and effective intervention on these risk factors could reduce the occurrence of AKI and improve outcomes.
RESUMEN
Chlorophyll drives plant photosynthesis. Under stress conditions, leaf chlorophyll content changes dramatically, which could provide insight into plant photosynthesis and drought resistance. Compared to traditional methods of evaluating chlorophyll content, hyperspectral imaging is more efficient and accurate and benefits from being a nondestructive technique. However, the relationships between chlorophyll content and hyperspectral characteristics of wheat leaves with wide genetic diversity and different treatments have rarely been reported. In this study, using 335 wheat varieties, we analyzed the hyperspectral characteristics of flag leaves and the relationships thereof with SPAD values at the grain-filling stage under control and drought stress. The hyperspectral information of wheat flag leaves significantly differed between control and drought stress conditions in the 550-700 nm region. Hyperspectral reflectance at 549 nm (r = -0.64) and the first derivative at 735 nm (r = 0.68) exhibited the strongest correlations with SPAD values. Hyperspectral reflectance at 536, 596, and 674 nm, and the first derivatives bands at 756 and 778 nm, were useful for estimating SPAD values. The combination of spectrum and image characteristics (L*, a*, and b*) can improve the estimation accuracy of SPAD values (optimal performance of RFR, relative error, 7.35%; root mean square error, 4.439; R2, 0.61). The models established in this study are efficient for evaluating chlorophyll content and provide insight into photosynthesis and drought resistance. This study can provide a reference for high-throughput phenotypic analysis and genetic breeding of wheat and other crops.