Your goal is to extract structured information from the user's input that matches the form described below. When extracting information please make sure it matches the type information exactly. Do not add any attributes that do not appear in the schema shown below.

```TypeScript

 { // Information on the clinical trial characteristics from the abstract
 conditions: string // The condition or disease being treated in the clinical trial
 drug_or_intervention: string // The drug or intervention used in the clinical trial
}
```


Please output the extracted information in JSON format. Do not output anything except for the extracted information. Do not add any clarifying information. Do not add any fields that are not in the schema. If the text contains attributes that do not appear in the schema, please ignore them. All output must be in JSON format and follow the schema specified above. Wrap the JSON in <json> tags.



Input:Atorvastatin metabolite measurements as a diagnostic tool for statin-induced myopathy.  Myopathic complaints are common in the general population and are more frequent with increasing age. When myopathic symptoms arise in a patient treated with a HMG-CoA reductase inhibitor (statin), it is always a question of whether the symptoms are due to statin-induced myopathy (SIM) or not (non-SIM). Diagnosis of SIM is not as straightforward as previously thought, because the most commonly used biomarker, serum creatine kinase, shows low specificity and selectivity, except in serious cases of rhabdomyolysis. There is a definite need for a novel biomarker for SIM. Based on a previous study reporting an altered metabolic profile with increased systemic exposure to the suspected muscle-toxic metabolite atorvastatin lactone in patients with SIM compared with healthy controls, this study aimed to explore the use of atorvastatin metabolite measurements to diagnose muscular complaints during statin treatment as being either SIM or non-SIM. PATIENTS, SETTING, AND STUDY DESIGN: Fifty-three patients with self-reported myopathic symptoms during atorvastatin treatment were recruited from our outpatient clinic. The symptoms were clinically evaluated as being SIM or non-SIM, on the basis of atorvastatin re-challenge testing. Atorvastatin and its metabolites were measured at steady state in all patients and compared with the clinical evaluation to see if this could predict the outcome and hence be suitable as a diagnostic tool for SIM. This was an exploratory study to investigate the proportion of patients correctly diagnosed by different metabolite cut-off ratios. With a cut-off ratio set at 1.1 for the atorvastatin lactone to atorvastatin acid ratio, 15 of 28 SIM patients (sensitivity of 54%) and 20 of 24 non-SIM patients (specificity of 83%) were correctly diagnosed. This corresponds to a positive predictive value of 79% and a negative predictive value of 61% (p = 0.006). The present study confirms an altered metabolic pattern of atorvastatin in patients with SIM and substantiates a central role of the lactone forms of statins in future investigations of statin myotoxicity. The atorvastatin lactone to acid ratio seems to be a valuable supportive diagnostic tool with high specificity and moderate sensitivity, adding to ordinary clinical evaluations when diagnosing SIM. Output:
{'conditions': 'Myotoxicity of Atorvastatin Treatment', 'interventions': 'Drug: Atorvastatin'}