宝石CT碘-水基图在急性脑梗死介入治疗后的应用

目的探讨宝石CT碘-水基图在急性脑梗死介入治疗后的诊断价值。方法 31例急性脑梗死患者介入治疗后即刻宝石CT平扫QC图发现颅内异常高密度影,采用碘-水基图进行重建分析,同时测定高密度影碘基值、水基值,并与术后24 h普通CT复查诊断结果作比较。结果通过采用碘-水基图,17例诊断为碘对比剂渗出,14例诊断为脑出血转化,与术后24 h普通CT复查诊断结果完全一致(Kappa=1,P0.01);术后即刻碘基图之碘基值:碘对比剂渗出(32.09±5.36) g/L,脑出血转化(6.86±2.26) g/L,二者差异有统计学意义(t=53.291,P0.01);术后即刻水基图之水基值:碘对比剂渗出(1 027.93±8.29) g/L,脑出血转化(1 069.68±7.18) g/L,二者差异有统计学意义(t=-8.897,P0.01)。结论宝石CT碘-水基图可以准确诊断急性脑梗死介入治疗后颅内碘对比剂渗出和脑出血转化,值得向临床介绍推广。     

Factors associated with clinically significant hypoglycemia in patients with type 1 diabetes using sensor-augmented pump therapy with predictive low-glucose management: A multicentric study on iberoamerica

Background and aimsDespite using sensor-augmented pump therapy (SAPT) with predictive low-glucose management (PLGM), hypoglycemia is still an issue in patients with type 1 Diabetes (T1D). Our aim was to determine factors associated with clinically significant hypoglycemia (<54 mg/dl) in persons with T1D treated with PLGM-SAPT.Methodology: This is a multicentric prospective real-life study performed in Colombia, Chile and Spain. Patients with T1D treated with PLGM-SAPT, using sensor ≥70% of time, were included. Data regarding pump and sensor use patterns and carbohydrate intake from 28 consecutive days were collected. A bivariate and multivariate Poisson regression analysis was carried out, to evaluate the association between the number of events of <54 mg/dl with the clinical variables and patterns of sensor and pump use.Results188 subjects were included (41 ± 13.8 years-old, 23 ± 12 years disease duration, A1c 7.2% ± 0.9). The median of events <54 mg/dl was four events/patient/month (IQR 1–10), 77% of these events occurred during day time. Multivariate analysis showed that the number of events of hypoglycemia were higher in patients with previous severe hypoglycemia (IRR1.38; 95% CI 1.19–1.61; p < 0.001), high glycemic variability defined as Coefficient of Variation (CV%) > 36% (IRR 2.09; 95%CI 1.79–2.45; p < 0.001) and hypoglycemia unawareness. A protector effect was identified for adequate sensor calibration (IRR 0.77; 95%CI 0.66–0.90; p:0.001), and the use of bolus wizard >60% (IRR 0.74; 95%CI 0.58–0.95; p:0.017).ConclusionIn spite of using advanced SAPT, clinically significant hypoglycemia is still a non-negligible risk. Only the identification and intervention of modifiable factors could help to prevent and reduce hypoglycemia in clinical practice.