Development and Validation Nomogram for Predicting the Survival of Patients with Thrombocytopenia in Intensive Care Units.

Background: The number of patients with thrombocytopenia (TCP) is relatively high in intensive care units (ICUs). It is therefore necessary to evaluate the prognostic risk of such patients. Aim: This study investigated the risk factors affecting the survival of patients with TCP in the ICU. Using the findings of this investigation, we developed and validated a risk prediction model. Methods: We evaluated patients admitted to the ICU who presented with TCP. We used LASSO regression to identify important clinical indicators. Based on these indicators, we developed a prediction model complete with a nomogram for the development cohort set. We then evaluated the mode's accuracy using a receiver operating characteristic (ROC) curve, calibration curves, and decision curve analysis (DCA) in a validation cohort. Results: A total of 141 cases of ICU TCP were included in the sample, of which 47 involved death of the patient. Clinical results were as follows: N (HR 0.91, 95% CI 0.86-0.97, P=0.003); TBIL (HR 1.98, 95% CI 1.02-1.99, P=0.048); APACHE II (HR 1.94, 95% CI 1.39, 2.48, P=0.045); WPRN (HR 6.22, 95% CI 2.86-13.53, P<0.001); WTOST (HR 0.56, 95% CI 0.21-1.46, P<0.001); and DMV [HR1.87, 95% CI 1.12-2.33]. The prediction model yielded an area under the curve (AUC) of 0.918 (95% CI 0.863-0.974) in the development cohort and 0.926 (95% CI 0.849-0.994) in the validation cohort. Application of the nomogram in the validation cohort gave good discrimination (C-index 0.853, 95% CI 0.810-0.922) and good calibration. DCA indicated that the nomogram was clinically useful. Conclusion: The individualized nomogram developed through our analysis demonstrated effective prognostic prediction for patients with TCP in ICUs. Use of this prediction metric may reduce TCP-related morbidity and mortality in ICUs.

Establishment of risk nomogram prediction model for venous catheter thrombosis.

BACKGROUND: Venous catheters are widely used in clinical practice, but a drawback of their usage is the increased risk of thrombosis. AIMS: The current study explored the risk factors affecting the formation of thrombosis following venous catheterization and establishes a risk nomogram prediction model for catheter-related thrombosis. METHODS: Univariate and multivariate logistic regression analyses were carried out to identify the independent factors involved in venous catheter thrombosis. These factors were included in the construction of a nomogram. Finally, the C-index and calibration curves were used to validate the nomogram. RESULT: A total of 146 cases were included in the sample, of which 36 were cases of thrombosis. The results of the univariate logistic regression analysis showed that the following were significant factors: age, Acute Physiology and Chronic Health Evaluation scoring system (APACHE II) score, white blood cell (WBC), hematocrit (HCT), international normalized ratio (INR), fibrinogen (FIB), and D-dimer. Multivariate logistic regression analysis was performed, which confirmed that the factors of age (AUC: 0.677, 95% CI: 0.564-0.790), APACHE II score (AUC: 0.746, 95% CI: 0.656-0.837), INR (AUC: 0.743, 95% CI: 0.636-0.849), and D-dimer (AUC: 0.826, 95% CI: 0.750-0.902) were independent variables. Next, a nomogram was constructed using these independent variables for predicting venous catheter thrombosis. Favorable results with C-indexes (0.816; 95% CI: 0.780-0.882) and calibration curves closer to ideal curves indicated the accurate predictive ability of this nomogram. CONCLUSION: The individualized nomogram demonstrated effective prognostic prediction for patients with venous thrombosis.

Early use of high-dose vitamin C is beneficial in treatment of sepsis.

PURPOSE: Vitamin C has shown benefits in patients with sepsis in addition to standard therapy recently. However, further evidence is required to verify the efficacy of vitamin C in clinical practice. This study aimed to investigate the effect of adjunctive intravenous high-dose vitamin C treatment on hospital mortality in patients with sepsis. METHODS: One hundred seventeen patients with sepsis in our department from June 2017 to May 2019 were randomly divided into two groups: the control group (56 cases) and the vitamin C group (61 cases). The control group was treated by the routine and basic therapy with intravenous drip of 5% dextrose and placebo (100 ml/time, 2 times/day), while the vitamin C group was administered intravenously by 3.0 g vitamin C dissolved into 5% dextrose (100 ml/time, 2 times/day) based on the control group. The mortality and efficacy were statistically analyzed and compared between the two groups. RESULTS: The 28-day mortality differed significantly between the control group and the vitamin C group (42.97% vs. 27.93%) (p < 0.05). The changes in the sepsis-related organ failure assessment (ΔSOFA) scores at 72 h after ICU admission (4.2 vs. 2.1), the application time of vasoactive drugs (25.6 vs. 43.8), and the procalcitonin clearance (79.6% vs. 61.3%) differed significantly between groups (p < 0.05). CONCLUSION: The early treatment of sepsis with intravenous high-dose vitamin C in combination with standard therapy showed a beneficial effect on sepsis, in terms of the reduced 28-day mortality, the decreased SOFA score, and the increased clearance rate of procalcitonin.