RESUMO
BACKGROUND: Hypoglycemia is one of the most common complications in patients with DN during hemodialysis. The purpose of the study is to construct a clinical automatic calculation to predict risk of hypoglycemia during hemodialysis for patients with diabetic nephropathy. METHODS: In this cross-sectional study, patients provided information for the questionnaire and received blood glucose tests during hemodialysis. The data were analyzed with logistic regression and then an automated calculator for risk prediction was constructed based on the results. From May to November 2022, 207 hemodialysis patients with diabetes nephropathy were recruited. Patients were recruited at blood purifying facilities at two hospitals in Beijing and Inner Mongolia province, China. Hypoglycemia is defined according to the standards of medical care in diabetes issued by ADA (2021). The blood glucose meter was used uniformly for blood glucose tests 15 minutes before the end of hemodialysis or when the patient did not feel well during hemodialysis. RESULTS: The incidence of hypoglycemia during hemodialysis was 50.2% (104/207). The risk prediction model included 6 predictors, and was constructed as follows: Logit (P) = 1.505×hemodialysis duration 8~15 years (OR = 4.506, 3 points) + 1.616×hemodialysis duration 16~21 years (OR = 5.032, 3 points) + 1.504×having hypotension during last hemodialysis (OR = 4.501, 3 points) + 0.788×having hyperglycemia during the latest hemodialysis night (OR = 2.199, 2 points) + 0.91×disturbance of potassium metabolism (OR = 2.484, 2 points) + 2.636×serum albumin<35 g/L (OR = 13.963, 5 points)-4.314. The AUC of the prediction model was 0.866, with Matthews correlation coefficient (MCC) of 0.633, and Hosmer-Lemeshow χ2 of 4.447(P = 0.815). The automatic calculation has a total of 18 points and four risk levels. CONCLUSIONS: The incidence of hypoglycemia during hemodialysis is high in patients with DN. The risk prediction model in this study had a good prediction outcome. The hypoglycemia prediction automatic calculation that was developed using this model can be used to predict the risk of hypoglycemia in DN patients during hemodialysis and also help identify those with a high risk of hypoglycemia during hemodialysis.
RESUMO
OBJECTIVE: This work summarizes the clinical features and treatment of 10 AIDS patients with malignant lymphoma. METHODS: A total of 10 AIDS patients with malignant lymphoma seen in Beijing Ditan Hospital since 2009 were enrolled. Clinical manifestations, pathological examinations, immunity levels, Epstein-Barr virus antibody examinations, complications, treatments, and outcomes were retrospectively analyzed. RESULTS: The main clinical manifestations of these patients included intermittent fever in 2 cases, neck masses and fever in 3 cases, auxiliary lymph node enlargement in 2 cases, and abdominal pain and bloating with fever in 3 cases. Up to 7 patients were pathologically diagnosed with diffuse large B cell lymphoma (DLBCL), and 3 patients were pathologically diagnosed with Burkitt's lymphoma. Up to 8 patients had CD4 cell counts below 200/µL, and 2 patients had a level of more than 200/µL. Up to 7 patients were negative for EBV-IgM antibodies and 3 patients were not examined. Six patients underwent different chemotherapy and their prognoses were different. One patient with Burkitt's lymphoma alternatively took CODOXM and IVAC for 3 turns after VP chemotherapy; 1 patient with liver metastasis took R-CHOP 5 times, then changed therapy regimen to R-MINE and MINE. One patient with adrenal DLBCL took CHOP 6 times. Three patients with DLBCL took CHOP 1 or 2 times. Four patients gave up treatment. Various infections and side effects occurred, including bone marrow suppression, gastrointestinal bleeding, and renal dysfunction during chemotherapy. Six patients took HAART, and 4 did not. Six patients died, whereas 3 patients got improved; and 1 patient was discharged. CONCLUSIONS: AIDS patients with malignant lymphoma had various clinical manifestations, were immunocompromised, and had multiple metastases when they were admitted; they were already in the interim or late stage of lymphoma. Chemotherapy was not effective, and additional complications occurred. HAART failed to improve patient prognosis, and the overall prognosis was poor.
