Prediction nomogram based on 18F-FDG PET/CT and clinical parameters for patients with diffuse large B-cell lymphoma

The objective of this study was to develop a nomogram including parameters assessed by 18F-FDG PET/CT and clinical parameters for patients with diffuse large B-cell lymphoma (DLBCL) to predict progression-free survival (PFS). A total of 181 patients with pathologically diagnosed DLBCL at Sichuan Cancer Hospital and Institute from March 2015 to December 2020 were enrolled in this retrospective study. The area under the receiver operating characteristic (ROC) curve (AUC) was used to calculate the optimal cutoff values of the semiquantitative parameters (SUVmax, TLG, MTV, and Dmax) for PFS. A nomogram was constructed according to multivariate Cox proportional hazards regression. The predictive and discriminatory capacities of the nomogram were then measured using the concordance index (C-index), calibration plots, and Kaplan-Meier curves. The predictive and discriminatory capacities of the nomogram and the International Prognostic Index of the National Comprehensive Cancer Network (NCCN-IPI) were compared via the C-index and AUC. Multivariate analysis demonstrated that male gender and pretreatment Ann Arbor stage III-IV, non-GCB, elevated lactate dehydrogenase (LDH), number of extranodal organ involvement (Neo)>1, MTV≥152.8 cm3, and Dmax ≥53.9 cm were associated with unfavorable PFS (all p<0.05). The nomogram, including gender, Ann Arbor stage, pathology type, Neo, LDH levels, MTV, and Dmax, showed good prediction accuracy, with a C-index of 0.760 (95% CI: 0.727-0.793), which was higher than that of NCCN-IPI (0.710; 95% CI: 0.669-751). The calibration plots for 2-year demonstrated good consistency between the predicted and observed probabilities for survival time. We established a nomogram including MTV, Dmax, and several clinical parameters to predict the PFS of patients with DLBCL, and the nomogram showed better predictability and higher accuracy than NCCN-IPI.

[Evaluation of the effectiveness of the evidence base multi-discipline critical strategies on the temperature and clinical outcomes in very preterm infants]

To evaluate the effectiveness of intervention plans developed by the evidence base multi-discipline critical strategies (EBPCS) on temperature and clinical outcomes in very preterm infants (VPIs) born at<32 weeks. Clinical data were collected from VPIs born in the delivery room/operating room of Chengdu Women's and Children's Central Hospital from May 1, 2021, to May 31, 2022, who required immediate temperature management and were transferred to the neonatal intensive care unit (NICU) of the hospital. The study population was randomly divided into a control group and an intervention group based on the random number table method, with 108 cases in each group. The control group implemented the conventional temperature management recommended by domestic guidelines, while the intervention group adopted EBPCS interventions compared to the control group. The differences in body temperature and clinical outcomes between the two groups were compared after the implementation of different temperature management strategies. A total of 216 VPIs were included. The intervention group had a lower incidence of hypothermia (30.55% vs. 87.03%, P<0.001), higher mean body temperature admitted to the NICU [(36.56±0.31) ℃ vs. (35.77±0.53) ℃, P<0.001], a lower dose of pulmonary surfactant [(115.94±36.96) mg/kg vs. (151.41±54.68) mg/kg, P=0.014], shorter duration of mechanical ventilation [(5.77±1.26) days vs. (14.19±4.63) days, P=0.006], and lower incidence of intraventricular haemorrhage (12.04% vs. 23.15%, P=0.032). The implementation of temperature intervention strategies developed by the EBPCS for VPIs after birth could prevent and reduce the incidence of hypothermia and improve clinical outcomes.