Valor pronóstico del PET/CT interino en Linfoma no Hodgkin en comparación con factores pronósticos clásicos (IPI) y de composición corporal (sarcopenia/lipopenia)

Background: The prognosis of Non-Hodgkin Lymphoma (NHL) depends on the type of lymphoma, the extension of the disease and the response to therapy. Aim: To evaluate the prognostic value of pretreatment and interim PET/CT compared to classic prognosis factors and body composition measurement (sarcopenia, adipopenia) in patients with recently diagnosed NHL. Material and Methods: Patients with recently diagnosed NHL who had staging 18F-FDG PET/CT performed between December 2008 and August 2018 were selected. Age, gender, weight, height, B symptoms, laboratory tests, pathology, staging PET/CT findings (Ann Arbor, number of nodal groups and extranodal sites involved, Bulky, maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis), Computed Tomography findings (psoas muscle mass index, psoas area, psoas density, subcutaneous fat index (all of them at L3 level), and Deauville score (Lugano Criteria) were recorded. The prognostic value of each of these factors was assessed using Cox multivariable regressions. Results: Of 138 NHL studied patients (median 61 y, 15-87 y, 60.4% men), 31 of them died due to the disease. The median follow-up was 39 months (1-115 months). The strongest prognostic factors were: B symptoms (p < 0.01), anemia (p < 0.01), hypoalbuminemia (p: 0.01), sarcopenia (p < 0.01), adipopenia (p < 0.01), number of node groups involved (p < 0.01), MTV (p < 0.01), and a bad response in interim PET/CT (p < 0.01). In a comparative Cox multivariable analysis, interim PET/CT was the independent variable with the highest significance (p < 0.01). Conclusions: Early treatment response assessed by interim PET/CT is the strongest prognostic factor in NHL patients.

[Prognostic value of interim PET/CT in non-hodgkin lymphoma]. / Valor pronóstico del PET/CT interino en Linfoma no Hodgkin en comparación con factores pronósticos clásicos (IPI) y de composición corporal (sarcopenia/lipopenia).

BACKGROUND: The prognosis of Non-Hodgkin Lymphoma (NHL) depends on the type of lymphoma, the extension of the disease and the response to therapy. AIM: To evaluate the prognostic value of pretreatment and interim PET/CT compared to classic prognosis factors and body composition measurement (sarcopenia, adipopenia) in patients with recently diagnosed NHL. MATERIAL AND METHODS: Patients with recently diagnosed NHL who had staging 18F-FDG PET/CT performed between December 2008 and August 2018 were selected. Age, gender, weight, height, B symptoms, laboratory tests, pathology, staging PET/CT findings (Ann Arbor, number of nodal groups and extranodal sites involved, Bulky, maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis), Computed Tomography findings (psoas muscle mass index, psoas area, psoas density, subcutaneous fat index (all of them at L3 level), and Deauville score (Lugano Criteria) were recorded. The prognostic value of each of these factors was assessed using Cox multivariable regressions. RESULTS: Of 138 NHL studied patients (median 61 y, 15-87 y, 60.4% men), 31 of them died due to the disease. The median follow-up was 39 months (1-115 months). The strongest prognostic factors were: B symptoms (p < 0.01), anemia (p < 0.01), hypoalbuminemia (p: 0.01), sarcopenia (p < 0.01), adipopenia (p < 0.01), number of node groups involved (p < 0.01), MTV (p < 0.01), and a bad response in interim PET/CT (p < 0.01). In a comparative Cox multivariable analysis, interim PET/CT was the independent variable with the highest significance (p < 0.01). CONCLUSIONS: Early treatment response assessed by interim PET/CT is the strongest prognostic factor in NHL patients.

[Incidence and consequences of acute kidney injury among patients admitted to critical care units]. / Incidencia de la injuria renal aguda en unidad de paciente crítico y su mortalidad a 30 días y un año.

BACKGROUND: Acute Kidney Injury (AKI) increases morbidity, mortality and hospital stay in critical patients units (CPU). AIM: To determine the incidence and mortality of AKI in CPU. MATERIAL AND METHODS: Review of electronic medical records of 1,769 patients aged 61 ± 20 years (47% males) discharged from a CPU during one year. Acute Kidney Injury diagnosis and severity was established using the Acute Kidney Injury Network (AKIN) criteria. RESULTS: A history of hypertension and Diabetes Mellitus was present in 44 and 22% of patients, respectively. APACHE II and SOFA scores were 14.6 ± 6.8 and 3.6 ± 2.1 respectively. AKI incidence was 28.9% (stage I, 16.7%, stage II, 5.3% and stage III, 6.9%). Mortality during the first 30 days and during the first year was 8.1 and 20.0% respectively. Patients with stage III AKI had the highest mortality (23.8 and 40.2% at 30 days and one year respectively). Compared with patients without AKI, the Odds ratio for mortality at 30 days and one year of patients with AKI stage III was 3.7 and 2.5, respectively. CONCLUSIONS: Thirty percent of patients admitted to UPC develop an AKI, which influences 30 days and one year mortality.

Incidencia de la injuria renal aguda en unidad de paciente crítico y su mortalidad a 30 días y un año / Incidence and consequences of acute kidney injury among patients admitted to critical care units

Background: Acute Kidney Injury (AKI) increases morbidity, mortality and hospital stay in critical patients units (CPU). Aim: To determine the incidence and mortality of AKI in CPU. Material and Methods: Review of electronic medical records of 1,769 patients aged 61 ± 20 years (47% males) discharged from a CPU during one year. Acute Kidney Injury diagnosis and severity was established using the Acute Kidney Injury Network (AKIN) criteria. Results: A history of hypertension and Diabetes Mellitus was present in 44 and 22% of patients, respectively. APACHE II and SOFA scores were 14.6 ± 6.8 and 3.6 ± 2.1 respectively. AKI incidence was 28.9% (stage I, 16.7%, stage II, 5.3% and stage III, 6.9%). Mortality during the first 30 days and during the first year was 8.1 and 20.0% respectively. Patients with stage III AKI had the highest mortality (23.8 and 40.2% at 30 days and one year respectively). Compared with patients without AKI, the Odds ratio for mortality at 30 days and one year of patients with AKI stage III was 3.7 and 2.5, respectively. Conclusions: Thirty percent of patients admitted to UPC develop an AKI, which influences 30 days and one year mortality.