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      Holistic View of Autografting Patients by Percentage of Total Body Surface Area Burned: Medical Record Abstraction Integrated with Administrative Claims

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          Abstract

          Aim

          This retrospective observational study provides a holistic view of the clinical and economic characteristics of inpatient treatment of patients with thermal burns undergoing autografting, by integrating real-world data (RWD) from medical records from healthcare providers (HCPs) and administrative claims.

          Methods

          We identified eligible patients between July 1, 2010, and November 30, 2019, from the HealthCore Integrated Research Database ® (HIRD ®) and obtained their medical records from HCPs. We abstracted data from medical records to describe patient demographics and clinical characteristics and obtained costs of treatment from claims.

          Results

          Two hundred patients were stratified into cohorts based on the percentage of total body surface area (%TBSA) burned: minor (< 10%), moderate (10%–24%), and major (≥ 25%). Data obtained from medical records and administrative claims were comparable to previous findings from administrative claims data. This privately insured study cohort predominantly consisted of White men. Diabetes mellitus and hypertension were frequently reported in a relatively young population. Key clinical characteristics that could influence burn treatment decisions and long-term outcomes, such as body mass index, size of autograft donor site, and mesh ratio, were frequently underdocumented in patients’ medical records.

          Conclusion

          Evidence generated from 2 orthogonal RWD sources confirmed that patients with larger %TBSA burned required more intensive care, thereby incurring higher costs. This study highlights considerable incompleteness in many critical fields in medical records, which limits the ability to generate broader insights. More comprehensive documentation of clinical characteristics and outcomes of autografts and donor sites in the operative and medical notes is critical to appropriately evaluate their impact on outcomes of burn treatments in future research using RWD.

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          Most cited references18

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          Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

          Implementation of the International Statistical Classification of Disease and Related Health Problems, 10th Revision (ICD-10) coding system presents challenges for using administrative data. Recognizing this, we conducted a multistep process to develop ICD-10 coding algorithms to define Charlson and Elixhauser comorbidities in administrative data and assess the performance of the resulting algorithms. ICD-10 coding algorithms were developed by "translation" of the ICD-9-CM codes constituting Deyo's (for Charlson comorbidities) and Elixhauser's coding algorithms and by physicians' assessment of the face-validity of selected ICD-10 codes. The process of carefully developing ICD-10 algorithms also produced modified and enhanced ICD-9-CM coding algorithms for the Charlson and Elixhauser comorbidities. We then used data on in-patients aged 18 years and older in ICD-9-CM and ICD-10 administrative hospital discharge data from a Canadian health region to assess the comorbidity frequencies and mortality prediction achieved by the original ICD-9-CM algorithms, the enhanced ICD-9-CM algorithms, and the new ICD-10 coding algorithms. Among 56,585 patients in the ICD-9-CM data and 58,805 patients in the ICD-10 data, frequencies of the 17 Charlson comorbidities and the 30 Elixhauser comorbidities remained generally similar across algorithms. The new ICD-10 and enhanced ICD-9-CM coding algorithms either matched or outperformed the original Deyo and Elixhauser ICD-9-CM coding algorithms in predicting in-hospital mortality. The C-statistic was 0.842 for Deyo's ICD-9-CM coding algorithm, 0.860 for the ICD-10 coding algorithm, and 0.859 for the enhanced ICD-9-CM coding algorithm, 0.868 for the original Elixhauser ICD-9-CM coding algorithm, 0.870 for the ICD-10 coding algorithm and 0.878 for the enhanced ICD-9-CM coding algorithm. These newly developed ICD-10 and ICD-9-CM comorbidity coding algorithms produce similar estimates of comorbidity prevalence in administrative data, and may outperform existing ICD-9-CM coding algorithms.
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            Acute and perioperative care of the burn-injured patient.

            Care of burn-injured patients requires knowledge of the pathophysiologic changes affecting virtually all organs from the onset of injury until wounds are healed. Massive airway and/or lung edema can occur rapidly and unpredictably after burn and/or inhalation injury. Hemodynamics in the early phase of severe burn injury is characterized by a reduction in cardiac output and increased systemic and pulmonary vascular resistance. Approximately 2 to 5 days after major burn injury, a hyperdynamic and hypermetabolic state develops. Electrical burns result in morbidity much higher than expected based on burn size alone. Formulae for fluid resuscitation should serve only as guideline; fluids should be titrated to physiologic endpoints. Burn injury is associated basal and procedural pain requiring higher than normal opioid and sedative doses. Operating room concerns for the burn-injured patient include airway abnormalities, impaired lung function, vascular access, deceptively large and rapid blood loss, hypothermia, and altered pharmacology.
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              Skin Graft

              Skin graft is one of the most indispensable techniques in plastic surgery and dermatology. Skin grafts are used in a variety of clinical situations, such as traumatic wounds, defects after oncologic resection, burn reconstruction, scar contracture release, congenital skin deficiencies, hair restoration, vitiligo, and nipple-areola reconstruction. Skin grafts are generally avoided in the management of more complex wounds. Conditions with deep spaces and exposed bones normally require the use of skin flaps or muscle flaps. In the present review, we describe how to perform skin grafting successfully, and some variation of skin grafting.
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                Author and article information

                Journal
                Clinicoecon Outcomes Res
                Clinicoecon Outcomes Res
                ceor
                ClinicoEconomics and Outcomes Research: CEOR
                Dove
                1178-6981
                08 April 2023
                2023
                : 15
                : 251-267
                Affiliations
                [1 ]Mallinckrodt Pharmaceuticals , Hampton, NJ, USA
                [2 ]Healthcore, Inc ., Wilmington, DE, USA
                Author notes
                Correspondence: Tzy-Chyi Yu, Mallinckrodt Pharmaceuticals , Shelbourne Building, 53 Frontage Road, Suite 300, Hampton, NJ, 08827, USA, Tel +1 908 238 6884, Email amanda.yu@mnk.com
                Author information
                http://orcid.org/0000-0003-4480-3406
                Article
                401003
                10.2147/CEOR.S401003
                10094521
                37064295
                ecdbd87a-0283-4adf-8a9f-700ea2f65d6d
                © 2023 Hahn et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 13 December 2022
                : 23 February 2023
                Page count
                Figures: 4, Tables: 4, References: 23, Pages: 17
                Funding
                Funded by: HealthCore, Inc;
                Funded by: Mallinckrodt Pharmaceuticals;
                Funded by: Oishika Panda, PhD, of Oxford PharmaGenesis Inc;
                Funded by: Mallinckrodt Pharmaceuticals;
                This work was conducted by researchers from HealthCore, Inc. and was funded by Mallinckrodt Pharmaceuticals. Medical writing services were provided by Oishika Panda, PhD, of Oxford PharmaGenesis Inc., and were funded by Mallinckrodt Pharmaceuticals.
                Categories
                Original Research

                Economics of health & social care
                burn injury,healthcare resource utilization,treatment patterns,real-world data

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