Analysis of the factors influencing moderate to poor performance status in patients with cancer after chemotherapy: a cross-sectional study comparing three models.

There are no models for assessing the factors that determine moderate to poor performance status in patients with cancer after chemotherapy. This study investigated the influencing factors and identified the best model for predicting moderate-poor performance status. A convenience sampling method was used. Demographic and clinical data and evaluation results for fatigue, pain, quality of life and Eastern Cooperative Oncology Group status were collected three days after the end of chemotherapy. Decision tree, random forest and logistic regression models were constructed. Ninety-four subjects in the case group had moderate to poor performance status, and 365 subjects in the control group had no or mild activity disorders. The random forest model was the most accurate model. Physical function, total protein, general quality of life within one week before chemotherapy, hemoglobin, pain symptoms and globulin were the main factors. Total protein and hemoglobin levels reflect nutritional status, and globulin levels are an index of liver function. Therefore, physical function, nutritional status, general quality of life and pain symptoms within one week before chemotherapy and liver function can be used to predict moderate-poor performance status. Nurses should pay more attention to patients with poor physical function, poor nutritional status, lower quality of life and pain symptoms after chemotherapy.

Comparison of Reusable Models in Pericardiocentesis Simulation Training

INTRODUCTION@#Pericardiocentesis is a potentially life-saving procedure. We compared two low-cost models-an agar-based model and a novel model, Centesys-in terms of ultrasound image quality and realism, effectiveness of the model, and learners' confidence and satisfaction after training.@*METHODS@#In this pilot randomised 2x2 crossover trial stratified by physician seniority, participants were assigned to undergo pericardiocentesis training either with the agar-based or Centesys model first, followed by the other model. Participants were asked to rate their confidence in performing ultrasound-guided pericardiocentesis, clarity and realism of cardiac structures on ultrasound imaging, and satisfaction on a 7-point Likert scale before and after training with each model.@*RESULTS@#Twenty participants with median postgraduate year of 4 (interquartile range [IQR] 3.75-6) years were recruited. Pre-training, participants rated themselves a median score of 2.5 (IQR 2-4) for level of confidence in performing pericardiocentesis, which improved to 5 (IQR 4-6) post-training with Centesys (@*CONCLUSION@#Centesys achieved greater learner satisfaction as compared to the agar-based model, and was an effective tool for teaching ultrasound-guided pericardiocentesis and drain insertion.

Pulmonary embolism as a cause of unexplained sinus tachycardia after right ventricular myocardial infarction

We present the case of a patient who developed new-onset asymptomatic sinus tachycardia after undergoing treatment for a right ventricular myocardial infarction. Even after excluding heart failure, infection and bleeding, the sinus tachycardia persisted. Computed tomography pulmonary angiography showed multiple bilateral pulmonary emboli. The vital sign abnormality resolved after treatment with an anticoagulant. We postulate that the pulmonary emboli originated from thrombi that were formed in the infarcted and dysfunctional right ventricle. Pulmonary embolism is a very rare complication of right ventricular myocardial infarction, and patients usually present with pleuritic chest pain. Our case highlights that asymptomatic sinus tachycardia could be a presenting feature of pulmonary embolism after the occurrence of a right ventricular myocardial infarction. A high index of suspicion is warranted in order to detect this potentially lethal complication.