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STUDY DESIGN: Observational cohort. AIM: To show that Cystatin C is an accurate single marker to estimate GFR in motor complete persons with SCI. OBJECTIVES: To assess if Cystatin C is an accurate for estimating GFR in persons with SCI with no preserved motor power. To study if use of Serum creatinine for estimation of GFR in this population significantly overestimates GFR, thereby inaccurate. SETTING: Tertiary care hospital and Medical College, Vellore, South India. METHODS: 30 persons with SCI (ASIA A and B) fulfilling the inclusion criteria were recruited. Serum Creatinine and Serum Cystatin C values were obtained, and eGFR was calculated based on available formulae. 24-h urine for urine creatinine clearance-based eGFR was used as a reference value. RESULTS: Analysis with a Bland-Atman plot showed that eGFR estimated with Serum Cystatin C was more accurate than Serum Creatinine, using 24-h urine creatinine as a reference value. eGFR using Serum Creatinine significantly overestimated GFR by over 50.6%. Estimated GFR using Serum Cystatin C showed a meager mean difference of 0.5% from the reference 24-h urine creatinine clearance (mean difference of -2.56%). CONCLUSION: Serum Cystatin C is a much more accurate marker for estimating GFR in SCI, compared to serum Creatinine which overestimates GFR.
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OBJECTIVE: Motor impairments related to hand function are common symptoms in patients with movement disorders, such as Parkinson's disease (PD) and focal hand dystonia (FHD). However, hand dysfunction has not been quantitatively assessed as a clinical tool for screening patient groups from healthy controls (HCs). The aim of our study was 1) to quantitatively assess hand dysfunction in patients with PD and FHD and its usefulness as a screening tool 2) to grade disease severity in PD and FHD based on hand dysfunction. METHODS: The current case-control study included HCs (n = 50) and patients with known history of PD (n = 25) or FHD (n = 16). Hand function was assessed by a precision grip task while participants lifted objects of 1.3 N and 1.7 N under dry skin conditions, followed by very wet skin conditions (VWSCs). Receiver operating characteristic and summative scoring analyses were performed. RESULTS: In PD, the combination of loading phase duration and lifting phase duration at quantitative cutoffs of 0.36 and 0.74 seconds identified 21/25 patients as diseased and 49/50 subjects as HCs with 1.7 N under VWSCs. In PD, 5/21 was graded as "mild" and 16/21 as "moderate cases." In FHD, slip force at a cutoff of 1.2 N identified 13/16 patients as diseased and 41/50 subjects as HC with 1.7 N under VWSCs, but disease severity could not be graded. CONCLUSION: Our results demonstrate the use of precision grip task as an important clinical tool in assessment of hand dysfunction in movement disorder patients. Use of quantitative cutoffs may improve diagnostic accuracy and serve as a valuable adjunct to existing clinical assessment methods.
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INTRODUCTION: Socioeconomic status (SES) scales measure poverty, wealth and economic inequality in a population to guide appropriate economic and public health policies. Measurement of poverty and comparison of material deprivation across nations is a challenge. This study compared four SES scales which have been used locally and internationally and evaluated them against childhood stunting, used as an indicator of chronic deprivation, in urban southern India. METHODS: A door-to-door survey collected information on socio-demographic indicators such as education, occupation, assets, income and living conditions in a semi-urban slum area in Vellore, Tamil Nadu in southern India. A total of 7925 households were categorized by four SES scales-Kuppuswamy scale, Below Poverty Line scale (BPL), the modified Kuppuswamy scale, and the multidimensional poverty index (MDPI) and the level of agreement compared between scales. Logistic regression was used to test the association of SES scales with stunting. FINDINGS: The Kuppuswamy, BPL, MDPI and modified Kuppuswamy scales classified 7.1%, 1%, 5.5%, and 55.3% of families as low SES respectively, indicating conservative estimation of low SES by the BPL and MDPI scales in comparison with the modified Kuppuswamy scale, which had the highest sensitivity (89%). Children from low SES classified by all scales had higher odds of stunting, but the level of agreement between scales was very poor ranging from 1%-15%. CONCLUSION: There is great non-uniformity between existing SES scales and cautious interpretation of SES scales is needed in the context of social, cultural, and economic realities.
