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  1. Holmes BD, Brazauskas R, Chhabra HS
    Spinal Cord, 2024 Jul;62(7):421-427.
    PMID: 38914754 DOI: 10.1038/s41393-024-01003-7
    STUDY DESIGN: Cross-sectional study.

    OBJECTIVES: To evaluate etiologic factors associated with spinal cord injury (SCI) severity and to identify predictive factors of reduction in SCI severity in six countries.

    SETTING: SCI centers in Bangladesh, India, Malaysia, Nepal, Sri Lanka, and Thailand.

    METHODS: Data from centers collected between October 2015 and February 2021 were analyzed using descriptive statistics and logistic regression.

    RESULTS: Among 2634 individuals, the leading cause of SCIs was falls (n = 1410, 54%); most occurred from ≥1 meter (n = 1078). Most single-level neurological injuries occurred in the thoracic region (n = 977, 39%). Greater than half of SCIs (n = 1423, 54%) were graded American Spinal Injury Association Impairment Scale (AIS) A. Thoracic SCIs accounted for 53% (n = 757) of all one-level AIS A SCIs. The percentage of thoracic SCIs graded AIS A (78%) was significantly higher than high cervical (52%), low cervical (48%), lumbar (24%), and sacral (31%) SCIs (p 

  2. Chhabra HS, Sachdeva G, Kovindha A, Hossain MS, Hasnan N, Thapa E, et al.
    PMID: 29844928 DOI: 10.1038/s41394-018-0076-5
    Study design: Global mapping project of ISCoS for traumatic spinal cord injury (T-SCI) highlighted paucity of data from low and middle income countries (LMICs). Recognizing this gap, IDAPP study of one year duration was proposed as the first step to develop an International SCI database.

    Objectives: Primary objective was to assess database variables, processes involved and web platform for their suitability with a view to provide guidance for a large scale global project. Secondary objective was to capture demographic and selected injury/safety data on patients with T-SCI with a view to formulate prevention strategies.

    Setting: Nine centers from Asia.

    Methods: All patients with T-SCI admitted for first time were included. International SCI Core Data Set and especially compiled Minimal Safety Data Set were used as data elements. Questionnaire was used for feedback from centers.

    Results: Results showed relevance and appropriateness of processes, data variables and web platform of the study. Ease of entering and retrieval of data from web platform was confirmed. Cost of one year IDAPP study was USD 7780. 975 patients were enrolled. 790 (81%) were males. High falls (n = 513, 52%) as a cause and complete injuries (n = 547, 56%) were more common. There was a higher percentage of thoracic and lumbar injuries (n = 516, 53%).

    Conclusions: The study confirms that establishing the SCI database is possible using the variables, processes and web platform of the pilot study. It also provides a low cost solution. Expansion to other centers/regions and including non-traumatic SCI would be the next step forward.

  3. Shetty AP, Rajavelu R, Viswanathan VK, Watanabe K, Chhabra HS, Kanna RM, et al.
    Asian Spine J, 2020 Aug;14(4):475-488.
    PMID: 32493003 DOI: 10.31616/asj.2020.0014
    STUDY DESIGN: Multicenter validation study.

    PURPOSE: To evaluate the inter-rater reliability of Rajasekaran's kyphosis classification through a multicenter validation study.

    OVERVIEW OF LITERATURE: The classification of kyphosis, developed by Rajasekaran, incorporates factors related to curve characteristics, including column deficiency, disc mobility, curve magnitude, and osteotomy requirements. Although the classification offers significant benefits in determining prognosis and management decisions, it has not been subjected to multicenter validation.

    METHODS: A total of 30 sets of images, including plain radiographs, computed tomography scans, and magnetic resonance imaging scans, were randomly selected from our hospital patient database. All patients had undergone deformity correction surgery for kyphosis. Twelve spine surgeons from the Asia-Pacific region (six different countries) independently evaluated and classified the deformity types and proposed their surgical recommendations. This information was then compared with standard deformity classification and surgical recommendations.

    RESULTS: The kappa coefficients for the classification were as follows: 0.88 for type 1A, 0.78 for type 1B, 0.50 for type 2B, 0.40 for type 3A, 0.63 for type 3B, and 0.86 for type 3C deformities. The overall kappa coefficient for the classification was 0.68. Regarding the repeatability of osteotomy recommendations, kappa values were the highest for Ponte's (Schwab type 2) osteotomy (kappa 0.8). Kappa values for other osteotomy recommendations were 0.52 for pedicle subtraction/disc-bone osteotomy (Schwab type 3/4), 0.42 for vertebral column resection (VCR, type 5), and 0.30 for multilevel VCRs (type 6).

    CONCLUSIONS: Excellent accuracy was found for types 1A, 1B, and 3C deformities (ends of spectrum). There was more variation among surgeons in differentiating between one-column (types 2A and 2B) and two-column (types 3A and 3B) deficiencies, as surgeons often failed to recognize the radiological signs of posterior column failure. This failure to identify column deficiencies can potentially alter kyphosis management. There was excellent consensus among surgeons in the recommendation of type 2 osteotomy; however, some variation was observed in their choice for other osteotomies.

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