| ORIGINAL ARTICLE
|Year : 2018 | Volume
| Issue : 4 | Page : 1020--1027
Evaluation of the diagnostic yield of ARQIP: A new restless legs syndrome diagnostic questionnaire and validation of its Hindi translation
Garima Shukla1, Geetika Bajpai1, Anupama Gupta1, Jyoti Katoch1, Afsar Mohammed1, RM Pandey2, Vinay Goyal1, Achal Srivastava1, Madhuri Behari1
1 Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
2 Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India
Background: Restless legs syndrome (RLS) is misdiagnosed due to a variety of clinical presentations and lack of a diagnostic biomarker. Sociocultural differences in patients' reporting of symptoms further contribute to this under diagnosis. We developed an expanded diagnostic tool for RLS, incorporating all International RLS Study Group (IRLSSG) diagnostic criteria with a number of additional questions mainly focusing on specific sociocultural influences in RLS symptom reporting among Indians. The purpose of this study was to examine the change in the diagnostic yield of RLS, if any, through administration of this expanded questionnaire.
Materials and Methods: The AIIMS RLS questionnaire for Indian patients (ARQIP) was developed in English language, and then translated into Hindi. All consecutive patients attending Neurology and sleep disorders clinic with complaints of leg discomfort were recruited in the study. Two examiners evaluated all patients with complaints of leg discomfort seen by a senior Sleep Medicine expert, one using only IRLSSG diagnostic criteria and the other using the ARQIP. Patients were categorized as RLS or “no-RLS” by the expert, and this was considered as the “standard” for analysis.
Results: A total of 155 participants (78 males, 50.3%) with a mean age of 44.1 ± 14.5 years were enrolled. A total of 105 patients were diagnosed as having RLS (group 1) and the rest as having “non-RLS” (group 2). The ARQIP was found to have a much higher sensitivity (100% vs 73%), specificity (44% vs 32.7%), negative predictive value (100% vs 36.4%), and positive predictive value (79% vs 70%) compared to the standard questionnaire. The diagnostic yield of this tool was 26.7% (Confidence interval = 100–73.3).
Conclusions: The ARQIP for RLS diagnosis, validated in this study, has been observed to have a high sensitivity and a negative predictive value with a high diagnostic accuracy.
Dr. Garima Shukla
Department of Neurology, All India Institute of Medical Sciences, New Delhi - 110 029
Source of Support: None, Conflict of Interest: None
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