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Additional Information Can Enhance Validation of Tuberculosis Isolation Prediction Model
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| Since this article does not have an abstract, we have provided the first 150 words of the full text and any section headings. |
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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.
Further information about the patients not included in the study, the study personnel, and the reasons and circumstances behind the initial isolation decisions would be helpful. First of all, more information on the socioeconomic status, comorbid conditions (especially immunological status), length of time in the United States, and other TB risk factors of the 237 patients not included in the study would help determine . . . [Full Text of this Article] AUTHOR INFORMATION
Bruce Y. Lee, MD, MBA;
Esther H. Chen, MD
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