Browsing by Author "Ferreira, Hugo"
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- Acute kidney injury after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy in a Portuguese populationPublication . Carias, Eduarda; Ferreira, Hugo; Chuva, Teresa; Paiva, Ana; Maximino, JoseBackground: Acute kidney injury (AKI) after cytoreductive surgery followed by the infusion of hyperthermic intraperitoneal chemothera-py (CRS/HIPEC) is associated with a higher rate of major complica-tions, resulting in prolonged hospitalization and increased mortality. Our objective was to evaluate the incidence of AKI and further pro-gression to chronic kidney disease (CKD) in patients submitted to this procedure and recognize the associated risk factors. Methods: This retrospective study collected demographic, tumor -related, intraoperative, and postoperative data from 182 patients who underwent CRS/HIPEC from January 2016 to December 2019. Re-nal impairment was defined according to Kidney Disease Improv-ing Global Outcomes criteria for AKI. We conducted univariate and multiple logistic regression analyses to assess the association between variables of interest and AKI. Results: Twenty-three patients (12.6%) developed AKI. In the AKI group, the risk for developing CKD was six times higher (odds ra-tio (OR) 6.48, confidence interval (CI) 1.601 -26.255). Multivariate regression identified higher risk of developing AKI in patients who underwent HIPEC with cisplatin (OR 12.21, CI 1.26 -109.70, P = 0.025), in each additional day spent in the intensive care unit (ICU) (OR 2.42, CI 1.07 -5.45, P = 0.033), and an association for each unit increase in estimated glomerular filtration rate (eGFR) before HIPEC (OR 0.96, CI 0.94 -0.98, P = 0.037) and AKI development. Conclusion: Patients who are at higher risk of AKI after CRS/HIPEC include those who performed cisplatin HIPEC regimen, had poorer preoperative renal function and had longer ICU stays. Early institu-tion of preventive measures and frequent monitoring should be considered to minimize AKI risk and its associated morbidity, such as CKD progression.
- Severe acute kidney injury in hospitalized cancer patients: epidemiology and predictive model of renal replacement therapy and In-Hospital MortalityPublication . Marques, Roberto Calças; Reis, Marina; Pimenta, Gonçalo; Sala, Inês; Chuva, Teresa; Coelho, Inês; Ferreira, Hugo; Paiva, Ana; Costa, José MaximinoBackground: Acute kidney injury (AKI) is a common complication among cancer patients, often leading to longer hospital stays, discontinuation of cancer treatment, and a poor prognosis. This study aims to provide insight into the incidence of severe AKI in this population and identify the risk factors associated with renal replacement therapy (RRT) and in-hospital mortality. Methods: This retrospective cohort study included 3201 patients with cancer and severe AKI admitted to a Comprehensive Cancer Center between January 1995 and July 2023. Severe AKI was defined according to the KDIGO guidelines as grade ≥ 2 AKI with nephrological in-hospital follow-up. Data were analyzed in two timelines: Period A (1995–2010) and Period B (2011–2023). Results: A total of 3201 patients (1% of all hospitalized cases) were included, with a mean age of 62.5 ± 17.2 years. Solid tumors represented 75% of all neoplasms, showing an increasing tendency, while hematological cancer decreased. Obstructive AKI declined, whereas the incidence of sepsis-associated, prerenal, and drug-induced AKI increased. Overall, 20% of patients required RRT, and 26.4% died during hospitalization. A predictive model for RRT (AUC 0.833 [95% CI 0.817–0.848]) identified sepsis and hematological cancer as risk factors and prerenal and obstructive AKI as protective factors. A similar model for overall in-hospital mortality (AUC 0.731 [95% CI 0.71–0.752]) revealed invasive mechanical ventilation (IMV), sepsis, and RRT as risk factors and obstructive AKI as a protective factor. The model for hemato-oncological patients’ mortality (AUC 0.832 [95% CI 0.803–0.861]) included IMV, sepsis, hematopoietic stem cell transplantation, and drug-induced AKI. Mortality risk point score models were derived from these analyses. Conclusions: This study addresses the demographic and clinical features of cancer patients with severe AKI. The development of predictive models for RRT and in-hospital mortality, along with risk point scores, may play a role in the management of this population.