Wisnivesky and colleagues1 reported their prospective validation of a prediction rule to determine if inpatients should be isolated for suspected pulmonary tuberculosis (TB). Because missing a single case of active TB can result in great cost and danger to the health care system, health care workers, other patients, and anyone who comes into contact with the patient,2- 4 any prediction rule that may increase the false-negative rate even slightly could be dangerous to implement. Therefore, a validation study for a TB decision rule must be especially rigorous.
Lee BY, Chen EH. Additional Information Can Enhance Validation of Tuberculosis Isolation Prediction Model. Arch Intern Med. 2005;165(15):1794. doi:10.1001/archinte.165.15.1794-a