The latest medical research on Haematology

The aim of this study is to analyze the profile of patients receiving daratumumab and their presentation to the transfusion laboratory by looking at the different pre-transfusion policies and the risk of erythrocyte alloimmunization. Patients receiving daratumumab from 2018 to 2023 were reviewed. They were divided into two groups: Group I, presented before administration of daratumumab, and Group II, presented after drug administration. Appropriate strategies were applied to mitigate the drug interference, and the transfusion outcome was analyzed by following up with the patients for six months. A total of 48 patients were studied. The antibody screen was negative in patients who presented before the administration of daratumumab (n = 35). Extended phenotyping was done for 31 patients. Blood group genotyping was done for 4 patients. The patients who presented after daratumumab administration (n = 13) had a positive antibody screen that became negative with dithiothreitol-treated cells. A total of 261 red cell units were transfused to these patients (mean 5.55 units per patient). None of the patients developed antibodies during the follow-up period. The transfusion services must frame policies and protocols to mitigate drug interference. Good communication between transfusion services and clinical hematologists is a must to ensure safe transfusions.

The online version contains supplementary material available at 10.1007/s12288-024-01763-5.

Central line-associated bloodstream infections (CLABSIs) can result in worse outcomes and high hospitalization cost for patients. This study aimed to assess the effectiveness of multi-department cooperation, intelligent prevention, and supervision (MDCIPS) in reducing the incidence of CLABSIs and improving the clinical outcomes of the patients. Key issues were identified through a literature review and survey on the status quo. A MDCIPS model was thus built. A total of 440 patients with indwelling central venous catheters (CVCs) were enrolled in the study. The control group (n = 219) received conventional infection-control managements, while the intervention group (n = 221) received MDCIPS interventions in addition to conventional infection-control managements. The number of CLABSIs patients, incidence of CLABSIs, average length of hospital stay, average total hospitalization cost, and disease outcomes were compared between the two groups. The intervention group had a significant reduction in the number and incidence of CLABSIs (0[0%] vs. 4[1.33%], P < 0.05). Two of the four patients with CLABSIs in the control group died. The average length of hospital stay was significantly longer in the control group than the intervention group (17 days vs. 13 days, P < 0.001). The average hospitalization cost in the control group was much higher than that in the intervention group (92.8 thousand yuan vs. 65.2 thousand yuan, P < 0.001). Patient outcome was improved in the intervention group than the control group (P = 0.001). In summary, the MDCIPS model effectively reduces the incidence of CLABSIs, alleviates the patients' economic burden, and improves the clinical outcomes of the patients.

The online version contains supplementary material available at 10.1007/s12288-024-01760-8.

To find the independent factors affecting the prognosis of AITL patients, establish a novel predictive model, and stratify the prognosis of AITL patients. We retrospectively analyzed the clinical data of 86 patients diagnosed with AITL in the First Affiliated Hospital of Wenzhou Medical University from December 2010 to March 2022. The clinical features, recurrence time, and death time of patients were collected and analyzed statistically. The median age of our patients was 68 years old, and the male-to-female ratio was 2.2: 1. There are differences between males and females in ECOG PS score (p = 0.037), β2 microglobulin levels (p = 0.018) and IgM (p = 0.021). Multivariate COX regression analysis showed that C-reactive protein > 39.3 mg/L (hazard ratio (HR), 5.41; p = 0.0001), Age > 66 years (hazard ratio (HR), 3.06; p = 0.0160), Ki67 positive (hazard ratio (HR), 4.86; p = 0.0010) and early progression of disease within 24 months (POD24) after diagnosis (hazard ratio (HR), 12.47; p = 0.0001) were independent factors affecting the prognosis of OS. KM analysis showed that the predictive model established by these four factors could effectively predict the prognosis of patients with AITL (p < 0.0001), and the ROC curve showed that the predictive ability of the new predictive model (AUC = 0.909) was significantly better than that of the traditional predictive models, such as IPI (AUC = 0.730), PIT (AUC = 0.720), PIAI (AUC = 0.715) and AITL score (AUC = 0.724). Age, C-reactive protein, Ki67, and POD24 were independent factors affecting the prognosis of OS. The prognostic model established by them combined clinical features, and serological and pathological indicators and could effectively predict the prognosis of AITL patients.

The online version contains supplementary material available at 10.1007/s12288-024-01767-1.