Clinical Prediction Rule for Patient Outcome after In-Hospital CPR

Clinical Prediction Rule for Patient Outcome after In-Hospital CPR: A New Model, Using Characteristics Present at Hospital Admission, to Identify Patients Unlikely to Benefit from CPR after In-Hospital Cardiac Arrest

BACKGROUND Physicians and patients frequently overestimate likelihood of survival after in-hospital cardiopulmonary resuscitation. Discussions and decisions around resuscitation after in-hospital cardiopulmonary arrest often take place without adequate or accurate information. METHODS We conducted a retrospective chart review of 470 instances of resuscitation after in-hospital cardiopulmonary...

Out-of-hospital CPR: better outcome for our patients

Out-of-hospital cardiac arrest is a leading cause of death in developed countries and early resuscitation attempts are crucial to improve survival rates and neurological outcome. Gräsner and colleagues performed an intriguing analysis on the combined approach of mild therapeutic hypothermia (MTH) and immediate percutaneous coronary intervention (PCI) for post-resuscitation care of 584 patients ...

Clinical prediction rule for return to work after back pain.

Clinical prediction rule for pulmonary infiltrates.

OBJECTIVE To derive and validate a clinical rule for predicting pneumonic infiltrates in adult patients with acute respiratory illness. DESIGN Prevalence studies in three settings. SETTING Emergency departments of the University of Illinois Hospital at Chicago, the University of Nebraska Medical Center at Omaha, and the Medical College of Virginia at Richmond. PATIENTS Symptoms, signs, co...

A clinical prediction rule for pulmonary complications after thoracic surgery for primary lung cancer.

BACKGROUND There is controversy surrounding the value of the predicted postoperative diffusing capacity of lung for carbon monoxide (DLCOppo) in comparison to the forced expired volume in 1 s for prediction of pulmonary complications (PCs) after thoracic surgery. METHODS Using a prospective database, we performed an analysis of 956 patients who had resection for lung cancer at a single instit...