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1.
Int Urol Nephrol ; 55(7): 1799-1809, 2023 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-36753015

RESUMEN

PURPOSE: We evaluated the renal arterial resistive index (RRI), urine monocyte chemotactic protein 1 (uMCP-1), and urine neutrophil gelatinase-associated lipocalin (uNGAL) to predict acute kidney injury (AKI) in critically ill cancer patients. METHODS: In this prospective study, we included patients without AKI. We compared the area under the curve (AUC) of RRI, uMCP-1, and uNGAL to predict any stage of AKI and stage-3 AKI with the DeLong method, and we established cutoff points with the Youden index. RESULTS: We included 64 patients, and 43 (67.2%) developed AKI. The AUC to predict AKI were: 0.714 (95% CI 0.587-0.820) for the RRI, 0.656 (95% CI 0.526-0.770) for uMCP-1, and 0.677 (95% CI 0.549-0.789) for uNGAL. The AUC to predict stage-3 AKI were: 0.740 (95% CI 0.615-0.842) for the RRI, 0.757 (95% CI 0.633-0.855) for uMCP-1, and 0.817 (95% CI 0.701-0.903) for uNGAL, without statistical differences among them. For stage 3 AKI prediction, the sensitivity and specificity were: 56.3% and 87.5% for a RRI > 0.705; 70% and 79.2% for an uMCP-1 > 2169 ng/mL; and 87.5% and 70.8% for a uNGAL > 200 ng/mL. The RRI was significantly correlated to age (r = 0.280), estimated glomerular filtration rate (r = - 0.259), mean arterial pressure (r = - 0.357), and serum lactate (r = 0.276). CONCLUSION: The RRI, uMCP-1, and uNGAL have a similar ability to predict AKI. The RRI is more specific, while urine biomarkers are more sensitive to predict stage 3 AKI. The RRI correlates with hemodynamic variables. The novel uMCP-1 could be a useful biomarker that needs to be extensively studied.


Asunto(s)
Lesión Renal Aguda , Neoplasias , Humanos , Lesión Renal Aguda/diagnóstico , Biomarcadores , Quimiocina CCL2 , Enfermedad Crítica , Lipocalina 2 , Estudios Prospectivos
2.
J Palliat Care ; 36(3): 175-180, 2021 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-33940980

RESUMEN

OBJECTIVE: To determine the outcomes of hospitalized cancer patients requiring intensive care unit (ICU) intervention and receiving palliative care. MATERIALS AND METHODS: An observational retrospective study was completed at a single academic critical care unit in Mexico City. All hospitalized cancer patients who were evaluated by the intensive care team to assess need for ICU were included between January and December 2018. RESULTS: During the study period, the ICU group made 408 assessments of critically ill cancer patients in noncritical hospitalized areas. In total, 24.2% (99/408) of the patients in this population were consulted by the palliative care team. Of the patients evaluated, 46.5% (190/408) had advanced stage, but only 28.4% were receiving care by the palliative care team. The only risk factor for hospital mortality in the multivariate analysis was the quick Sequential Organ Failure Assessment (qSOFA) score at the time of the consultation by the ICU group (HR = 2.10, 95% CI = 1.34-3.29, p = 0.001). The median time between palliative care consultation and death was 3 days (IQR = 2-22). A total of 63% (37/58) of patients who were discharged from the hospital died during follow-up. The median follow-up time was 55 days (95% CI = 26.9-83.0). The overall mortality rate for the entire group during hospitalization and after hospital discharge was 80.8% (80/99). CONCLUSION: Fewer than 3 out of 10 hospitalized cancer patients requiring admission to the ICU were evaluated by the palliative care team despite having incurable cancer. The qSOFA score of patients at the time of the ICU consultation was the only risk factor for mortality during hospitalization. Future research efforts in Mexico should focus on earlier integration of palliation care with usual oncology care in incurable cancer patients.


Asunto(s)
Enfermedad Crítica , Neoplasias , Cuidados Paliativos , Humanos , México , Neoplasias/terapia , Estudios Retrospectivos
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